[06/20 02:28:32] Vis4D INFO: Environment info: PyTorch version: 1.11.0+cu113 Is debug build: False CUDA used to build PyTorch: 11.3 ROCM used to build PyTorch: N/A OS: CentOS Linux release 7.9.2009 (Core) (x86_64) GCC version: (GCC) 8.2.0 Clang version: Could not collect CMake version: version 3.24.1 Libc version: glibc-2.17 Python version: 3.10.4 (main, May 30 2022, 08:01:42) [GCC 8.2.0] (64-bit runtime) Python platform: Linux-3.10.0-1160.88.1.el7.x86_64-x86_64-with-glibc2.17 Is CUDA available: True CUDA runtime version: 11.7.64 GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090 Nvidia driver version: 525.105.17 cuDNN version: Could not collect HIP runtime version: N/A MIOpen runtime version: N/A Versions of relevant libraries: [pip3] mypy-extensions==0.4.3 [pip3] numpy==1.22.4 [pip3] numpy-groupies==0.9.16 [pip3] numpy-quaternion==2022.4.2 [pip3] pytorch-lightning==2.0.2 [pip3] pytorch3d==0.7.2 [pip3] torch==1.11.0+cu113 [pip3] torch-cluster==1.6.0 [pip3] torch-fidelity==0.3.0 [pip3] torch-geometric==2.0.4 [pip3] torch-scatter==2.0.9 [pip3] torch-sparse==0.6.13 [pip3] torch-spline-conv==1.2.1 [pip3] torchaudio==0.11.0+cu113 [pip3] torchmetrics==0.11.4 [pip3] torchvision==0.13.0 [conda] Could not collect [06/20 02:28:32] Vis4D INFO: callbacks: - class_path: vis4d.engine.callbacks.logging.LoggingCallback init_args: refresh_rate: 50 - class_path: vis4d.engine.callbacks.checkpoint.CheckpointCallback init_args: save_prefix: vis4d-workspace/mask_rcnn_r50_fpn_shift/2023-06-20_02-28-28 - class_path: vis4d.engine.callbacks.evaluator.EvaluatorCallback init_args: evaluator: class_path: vis4d.eval.shift.detect.SHIFTDetectEvaluator init_args: annotation_path: data/shift//discrete/images/val/front/det_insseg_2d.json attributes_to_load: - weather_coarse: clear timeofday_coarse: daytime metrics: - Det - InsSeg test_connector: frame_ids: key: frame_ids source: data pred_boxes: key: boxes.boxes source: prediction pred_classes: key: boxes.class_ids source: prediction pred_masks: key: masks.masks source: prediction pred_scores: key: boxes.scores source: prediction sample_names: key: sample_names source: data sequence_names: key: sequence_names source: data data: test_dataloader: class_path: vis4d.data.loader.build_train_dataloader init_args: batchprocess_fn: class_path: vis4d.data.transforms.base.compose_batch init_args: transforms: - class_path: vis4d.data.transforms.to_tensor.ToTensor init_args: sensors: - front - class_path: vis4d.data.transforms.to_tensor.SelectSensor init_args: sensor: front collate_fn: dataset: class_path: vis4d.data.loader.DataPipe init_args: datasets: class_path: vis4d.data.datasets.shift.SHIFT init_args: attributes_to_load: - weather_coarse: clear timeofday_coarse: daytime backend: class_path: vis4d.data.io.hdf5.HDF5Backend data_root: data/shift/ framerate: images keys_to_load: - images - input_hw - original_hw - boxes2d - boxes2d_classes - instance_masks shift_type: discrete skip_empty_frames: False split: val views_to_load: - front preprocess_fn: class_path: vis4d.data.transforms.base.compose init_args: transforms: - class_path: vis4d.data.transforms.normalize.NormalizeImage init_args: mean: - 122.884 - 117.266 - 110.287 sensors: - front std: - 59.925 - 59.466 - 60.69 samples_per_gpu: 2 shuffle: False workers_per_gpu: 0 train_dataloader: class_path: vis4d.data.loader.build_train_dataloader init_args: batchprocess_fn: class_path: vis4d.data.transforms.base.compose_batch init_args: transforms: - class_path: vis4d.data.transforms.to_tensor.ToTensor init_args: sensors: - front - class_path: vis4d.data.transforms.to_tensor.SelectSensor init_args: sensor: front collate_fn: dataset: class_path: vis4d.data.loader.DataPipe init_args: datasets: class_path: vis4d.data.datasets.shift.SHIFT init_args: attributes_to_load: - weather_coarse: clear timeofday_coarse: daytime backend: class_path: vis4d.data.io.hdf5.HDF5Backend data_root: data/shift/ framerate: images keys_to_load: - images - input_hw - original_hw - boxes2d - boxes2d_classes - instance_masks shift_type: discrete skip_empty_frames: True split: train views_to_load: - front preprocess_fn: class_path: vis4d.data.transforms.base.compose init_args: transforms: - class_path: vis4d.data.transforms.base.RandomApply init_args: probability: 0.5 sensors: - front transforms: - class_path: vis4d.data.transforms.flip.FlipImage - class_path: vis4d.data.transforms.flip.FlipBoxes2D - class_path: vis4d.data.transforms.base.RandomApply init_args: probability: 0.5 transforms: - class_path: vis4d.data.transforms.photometric.ColorJitter init_args: sensors: - front - class_path: vis4d.data.transforms.normalize.NormalizeImage init_args: mean: - 122.884 - 117.266 - 110.287 sensors: - front std: - 59.925 - 59.466 - 60.69 samples_per_gpu: 2 shuffle: True workers_per_gpu: 0 data_connector: class_path: vis4d.engine.connectors.data_connector.DataConnector init_args: loss: boxes: key: boxes.sampled_proposals.boxes source: prediction boxes_mask: key: boxes.sampled_targets.labels source: prediction class_outs: key: boxes.roi.cls_score source: prediction cls_outs: key: boxes.rpn.cls source: prediction images_hw: key: input_hw source: data mask_preds: key: masks.mask_pred source: prediction pred_sampled_proposals: key: boxes.sampled_proposals source: prediction reg_outs: key: boxes.rpn.box source: prediction regression_outs: key: boxes.roi.bbox_pred source: prediction sampled_proposals: key: boxes.sampled_proposals source: prediction sampled_target_indices: key: boxes.sampled_target_indices source: prediction sampled_targets: key: boxes.sampled_targets source: prediction target_boxes: key: boxes.sampled_targets.boxes source: prediction target_classes: key: boxes.sampled_targets.classes source: prediction target_masks: key: instance_masks source: data test: images: images input_hw: input_hw original_hw: original_hw train: boxes2d: boxes2d boxes2d_classes: boxes2d_classes images: images input_hw: input_hw experiment_name: mask_rcnn_r50_fpn_shift loss: class_path: vis4d.engine.loss.WeightedMultiLoss init_args: losses: - loss: class_path: vis4d.op.detect.rpn.RPNLoss init_args: anchor_generator: class_path: vis4d.op.detect.anchor_generator.AnchorGenerator init_args: ratios: - 0.5 - 1.0 - 2.0 scales: - 8 strides: - 4 - 8 - 16 - 32 - 64 box_encoder: class_path: vis4d.op.box.encoder.delta_xywh.DeltaXYWHBBoxEncoder init_args: target_means: - 0.0 - 0.0 - 0.0 - 0.0 target_stds: - 1.0 - 1.0 - 1.0 - 1.0 weight: 1.0 - loss: class_path: vis4d.op.detect.rcnn.RCNNLoss init_args: box_encoder: class_path: vis4d.op.box.encoder.delta_xywh.DeltaXYWHBBoxEncoder init_args: target_means: - 0.0 - 0.0 - 0.0 - 0.0 target_stds: - 0.1 - 0.1 - 0.2 - 0.2 num_classes: 6 weight: 1.0 - loss: class_path: vis4d.op.detect.rcnn.SampledMaskLoss init_args: loss: class_path: vis4d.op.detect.rcnn.MaskRCNNHeadLoss mask_sampler: weight: 1.0 model: class_path: vis4d.model.detect.mask_rcnn.MaskRCNN init_args: basemodel: class_path: vis4d.op.base.resnet.ResNet init_args: pretrained: True resnet_name: resnet50 trainable_layers: 3 faster_rcnn_head: class_path: vis4d.op.detect.faster_rcnn.FasterRCNNHead init_args: anchor_generator: class_path: vis4d.op.detect.anchor_generator.AnchorGenerator init_args: ratios: - 0.5 - 1.0 - 2.0 scales: - 8 strides: - 4 - 8 - 16 - 32 - 64 box_matcher: class_path: vis4d.op.box.matchers.max_iou.MaxIoUMatcher init_args: allow_low_quality_matches: False labels: - 0 - 1 thresholds: - 0.5 box_sampler: class_path: vis4d.op.box.samplers.random.RandomSampler init_args: batch_size: 512 positive_fraction: 0.25 num_classes: 6 roi_head: class_path: vis4d.op.detect.rcnn.RCNNHead init_args: num_classes: 6 rpn_box_decoder: class_path: vis4d.op.box.encoder.delta_xywh.DeltaXYWHBBoxDecoder init_args: target_means: - 0.0 - 0.0 - 0.0 - 0.0 target_stds: - 1.0 - 1.0 - 1.0 - 1.0 num_classes: 6 rcnn_box_decoder: class_path: vis4d.op.box.encoder.delta_xywh.DeltaXYWHBBoxDecoder init_args: target_means: - 0.0 - 0.0 - 0.0 - 0.0 target_stds: - 0.1 - 0.1 - 0.2 - 0.2 optimizers: - epoch_based_lr: True epoch_based_warmup: False lr_scheduler: class_path: torch.optim.lr_scheduler.MultiStepLR init_args: gamma: 0.1 milestones: - 8 - 11 lr_warmup: class_path: vis4d.engine.optim.warmup.LinearLRWarmup init_args: warmup_ratio: 0.001 warmup_steps: 500 optimizer: class_path: torch.optim.sgd.SGD init_args: lr: 0.01 momentum: 0.9 weight_decay: 0.0001 output_dir: vis4d-workspace/mask_rcnn_r50_fpn_shift/2023-06-20_02-28-28 params: lr: 0.01 num_classes: 6 num_epochs: 12 samples_per_gpu: 2 workers_per_gpu: 0 pl_callbacks: pl_trainer: accelerator: gpu accumulate_grad_batches: 1 barebones: False benchmark: None check_val_every_n_epoch: 1 checkpoint_period: 1 default_root_dir: None detect_anomaly: False deterministic: None devices: 1 enable_checkpointing: None enable_model_summary: None enable_progress_bar: False exp_name: mask_rcnn_r50_fpn_shift fast_dev_run: False find_unused_parameters: False gradient_clip_algorithm: None gradient_clip_val: None inference_mode: True limit_predict_batches: None limit_test_batches: None limit_train_batches: None limit_val_batches: None log_every_n_steps: None max_epochs: 12 max_steps: -1 max_time: None min_epochs: None min_steps: None num_nodes: 1 num_sanity_val_steps: 0 overfit_batches: 0.0 plugins: None precision: 32-true profiler: None reload_dataloaders_every_n_epochs: 0 sync_batchnorm: False use_distributed_sampler: False val_check_interval: None version: 2023-06-20_02-28-28 wandb: True work_dir: vis4d-workspace timestamp: 2023-06-20_02-28-28 version: 2023-06-20_02-28-28 work_dir: vis4d-workspace [06/20 02:28:56] Vis4D INFO: Use 2800 frames with the specified attributes. [06/20 02:29:02] Vis4D INFO: GPU available: True (cuda), used: True [06/20 02:29:02] Vis4D INFO: TPU available: False, using: 0 TPU cores [06/20 02:29:02] Vis4D INFO: IPU available: False, using: 0 IPUs [06/20 02:29:02] Vis4D INFO: HPU available: False, using: 0 HPUs [06/20 02:29:02] Vis4D INFO: Global seed set to 1307543659 [06/20 02:30:07] Vis4D INFO: Loading _SHIFTScalabelLabels(data_root=data/shift/discrete/images/train/front/img.hdf5, annotation_path=data/shift/discrete/images/train/front/det_insseg_2d.json) takes 60.17 seconds. [06/20 02:30:25] Vis4D INFO: Use 20800 frames with the specified attributes. [06/20 02:30:25] Vis4D INFO: Use 19452 frames with labels. [06/20 02:31:07] Vis4D INFO: Loading _SHIFTScalabelLabels(data_root=data/shift/discrete/images/train/front/img.hdf5, annotation_path=data/shift/discrete/images/train/front/det_2d.json) takes 42.26 seconds. [06/20 02:31:23] Vis4D INFO: Use 20800 frames with the specified attributes. [06/20 02:31:23] Vis4D INFO: Use 19452 frames with labels. [06/20 02:31:34] Vis4D INFO: Loading _SHIFTScalabelLabels(data_root=data/shift/discrete/images/val/front/img.hdf5, annotation_path=data/shift/discrete/images/val/front/det_insseg_2d.json) takes 11.00 seconds. [06/20 02:31:37] Vis4D INFO: Use 2800 frames with the specified attributes. [06/20 02:31:46] Vis4D INFO: Loading _SHIFTScalabelLabels(data_root=data/shift/discrete/images/val/front/img.hdf5, annotation_path=data/shift/discrete/images/val/front/det_2d.json) takes 9.14 seconds. [06/20 02:31:48] Vis4D INFO: Use 2800 frames with the specified attributes. [06/20 02:32:21] Vis4D INFO: Epoch 1: 50/9726, ETA: 1:45:00, 1.54it/s, loss: 2.1240, RPNLoss.loss_cls: 0.5332, RPNLoss.loss_bbox: 0.0819, RCNNLoss.rcnn_loss_cls: 0.8138, RCNNLoss.rcnn_loss_bbox: 0.0222, SampledMaskLoss.rcnn_loss_mask: 0.6728 [06/20 02:32:47] Vis4D INFO: Epoch 1: 100/9726, ETA: 1:34:15, 1.70it/s, loss: 1.1355, RPNLoss.loss_cls: 0.1346, RPNLoss.loss_bbox: 0.0602, RCNNLoss.rcnn_loss_cls: 0.2240, RCNNLoss.rcnn_loss_bbox: 0.0998, SampledMaskLoss.rcnn_loss_mask: 0.6168 [06/20 02:33:14] Vis4D INFO: Epoch 1: 150/9726, ETA: 1:31:06, 1.75it/s, loss: 1.1904, RPNLoss.loss_cls: 0.1054, RPNLoss.loss_bbox: 0.0631, RCNNLoss.rcnn_loss_cls: 0.2278, RCNNLoss.rcnn_loss_bbox: 0.1174, SampledMaskLoss.rcnn_loss_mask: 0.6768 [06/20 02:33:40] Vis4D INFO: Epoch 1: 200/9726, ETA: 1:28:38, 1.79it/s, loss: 1.1428, RPNLoss.loss_cls: 0.1013, RPNLoss.loss_bbox: 0.0668, RCNNLoss.rcnn_loss_cls: 0.2306, RCNNLoss.rcnn_loss_bbox: 0.1299, SampledMaskLoss.rcnn_loss_mask: 0.6142 [06/20 02:34:06] Vis4D INFO: Epoch 1: 250/9726, ETA: 1:26:48, 1.82it/s, loss: 1.2319, RPNLoss.loss_cls: 0.0791, RPNLoss.loss_bbox: 0.0655, RCNNLoss.rcnn_loss_cls: 0.2773, RCNNLoss.rcnn_loss_bbox: 0.1933, SampledMaskLoss.rcnn_loss_mask: 0.6166 [06/20 02:34:31] Vis4D INFO: Epoch 1: 300/9726, ETA: 1:25:13, 1.84it/s, loss: 1.2679, RPNLoss.loss_cls: 0.0855, RPNLoss.loss_bbox: 0.0730, RCNNLoss.rcnn_loss_cls: 0.2702, RCNNLoss.rcnn_loss_bbox: 0.2131, SampledMaskLoss.rcnn_loss_mask: 0.6261 [06/20 02:34:57] Vis4D INFO: Epoch 1: 350/9726, ETA: 1:24:08, 1.86it/s, loss: 1.3936, RPNLoss.loss_cls: 0.0885, RPNLoss.loss_bbox: 0.0899, RCNNLoss.rcnn_loss_cls: 0.3481, RCNNLoss.rcnn_loss_bbox: 0.2970, SampledMaskLoss.rcnn_loss_mask: 0.5701 [06/20 02:35:22] Vis4D INFO: Epoch 1: 400/9726, ETA: 1:23:07, 1.87it/s, loss: 1.3084, RPNLoss.loss_cls: 0.0794, RPNLoss.loss_bbox: 0.0664, RCNNLoss.rcnn_loss_cls: 0.2738, RCNNLoss.rcnn_loss_bbox: 0.2516, SampledMaskLoss.rcnn_loss_mask: 0.6373 [06/20 02:35:46] Vis4D INFO: Epoch 1: 450/9726, ETA: 1:21:40, 1.89it/s, loss: 1.1812, RPNLoss.loss_cls: 0.0566, RPNLoss.loss_bbox: 0.0543, RCNNLoss.rcnn_loss_cls: 0.2420, RCNNLoss.rcnn_loss_bbox: 0.2210, SampledMaskLoss.rcnn_loss_mask: 0.6074 [06/20 02:36:10] Vis4D INFO: Epoch 1: 500/9726, ETA: 1:20:32, 1.91it/s, loss: 1.3245, RPNLoss.loss_cls: 0.0814, RPNLoss.loss_bbox: 0.0673, RCNNLoss.rcnn_loss_cls: 0.2923, RCNNLoss.rcnn_loss_bbox: 0.2485, SampledMaskLoss.rcnn_loss_mask: 0.6350 [06/20 02:36:37] Vis4D INFO: Epoch 1: 550/9726, ETA: 1:20:10, 1.91it/s, loss: 1.3195, RPNLoss.loss_cls: 0.0708, RPNLoss.loss_bbox: 0.0701, RCNNLoss.rcnn_loss_cls: 0.2953, RCNNLoss.rcnn_loss_bbox: 0.2940, SampledMaskLoss.rcnn_loss_mask: 0.5892 [06/20 02:37:00] Vis4D INFO: Epoch 1: 600/9726, ETA: 1:19:00, 1.93it/s, loss: 1.2660, RPNLoss.loss_cls: 0.0758, RPNLoss.loss_bbox: 0.0600, RCNNLoss.rcnn_loss_cls: 0.2840, RCNNLoss.rcnn_loss_bbox: 0.2567, SampledMaskLoss.rcnn_loss_mask: 0.5895 [06/20 02:37:25] Vis4D INFO: Epoch 1: 650/9726, ETA: 1:18:16, 1.93it/s, loss: 1.2203, RPNLoss.loss_cls: 0.0553, RPNLoss.loss_bbox: 0.0613, RCNNLoss.rcnn_loss_cls: 0.2649, RCNNLoss.rcnn_loss_bbox: 0.2640, SampledMaskLoss.rcnn_loss_mask: 0.5747 [06/20 02:37:51] Vis4D INFO: Epoch 1: 700/9726, ETA: 1:17:58, 1.93it/s, loss: 1.3201, RPNLoss.loss_cls: 0.0498, RPNLoss.loss_bbox: 0.0666, RCNNLoss.rcnn_loss_cls: 0.3118, RCNNLoss.rcnn_loss_bbox: 0.3246, SampledMaskLoss.rcnn_loss_mask: 0.5673 [06/20 02:38:17] Vis4D INFO: Epoch 1: 750/9726, ETA: 1:17:30, 1.93it/s, loss: 1.2635, RPNLoss.loss_cls: 0.0587, RPNLoss.loss_bbox: 0.0591, RCNNLoss.rcnn_loss_cls: 0.2893, RCNNLoss.rcnn_loss_bbox: 0.2971, SampledMaskLoss.rcnn_loss_mask: 0.5593 [06/20 02:38:42] Vis4D INFO: Epoch 1: 800/9726, ETA: 1:16:53, 1.93it/s, loss: 1.2198, RPNLoss.loss_cls: 0.0590, RPNLoss.loss_bbox: 0.0591, RCNNLoss.rcnn_loss_cls: 0.2643, RCNNLoss.rcnn_loss_bbox: 0.2735, SampledMaskLoss.rcnn_loss_mask: 0.5638 [06/20 02:39:05] Vis4D INFO: Epoch 1: 850/9726, ETA: 1:16:02, 1.95it/s, loss: 1.2832, RPNLoss.loss_cls: 0.0454, RPNLoss.loss_bbox: 0.0604, RCNNLoss.rcnn_loss_cls: 0.2959, RCNNLoss.rcnn_loss_bbox: 0.3375, SampledMaskLoss.rcnn_loss_mask: 0.5440 [06/20 02:39:31] Vis4D INFO: Epoch 1: 900/9726, ETA: 1:15:41, 1.94it/s, loss: 1.2064, RPNLoss.loss_cls: 0.0555, RPNLoss.loss_bbox: 0.0593, RCNNLoss.rcnn_loss_cls: 0.2700, RCNNLoss.rcnn_loss_bbox: 0.3098, SampledMaskLoss.rcnn_loss_mask: 0.5116 [06/20 02:39:58] Vis4D INFO: Epoch 1: 950/9726, ETA: 1:15:21, 1.94it/s, loss: 1.2338, RPNLoss.loss_cls: 0.0414, RPNLoss.loss_bbox: 0.0616, RCNNLoss.rcnn_loss_cls: 0.2842, RCNNLoss.rcnn_loss_bbox: 0.3291, SampledMaskLoss.rcnn_loss_mask: 0.5175 [06/20 02:40:24] Vis4D INFO: Epoch 1: 1000/9726, ETA: 1:14:55, 1.94it/s, loss: 1.1611, RPNLoss.loss_cls: 0.0400, RPNLoss.loss_bbox: 0.0434, RCNNLoss.rcnn_loss_cls: 0.2544, RCNNLoss.rcnn_loss_bbox: 0.2610, SampledMaskLoss.rcnn_loss_mask: 0.5622 [06/20 02:40:47] Vis4D INFO: Epoch 1: 1050/9726, ETA: 1:14:13, 1.95it/s, loss: 1.1676, RPNLoss.loss_cls: 0.0368, RPNLoss.loss_bbox: 0.0540, RCNNLoss.rcnn_loss_cls: 0.2623, RCNNLoss.rcnn_loss_bbox: 0.3009, SampledMaskLoss.rcnn_loss_mask: 0.5137 [06/20 02:41:13] Vis4D INFO: Epoch 1: 1100/9726, ETA: 1:13:47, 1.95it/s, loss: 1.1884, RPNLoss.loss_cls: 0.0420, RPNLoss.loss_bbox: 0.0452, RCNNLoss.rcnn_loss_cls: 0.2680, RCNNLoss.rcnn_loss_bbox: 0.3030, SampledMaskLoss.rcnn_loss_mask: 0.5302 [06/20 02:41:38] Vis4D INFO: Epoch 1: 1150/9726, ETA: 1:13:14, 1.95it/s, loss: 1.1623, RPNLoss.loss_cls: 0.0431, RPNLoss.loss_bbox: 0.0513, RCNNLoss.rcnn_loss_cls: 0.2455, RCNNLoss.rcnn_loss_bbox: 0.2981, SampledMaskLoss.rcnn_loss_mask: 0.5243 [06/20 02:42:03] Vis4D INFO: Epoch 1: 1200/9726, ETA: 1:12:49, 1.95it/s, loss: 1.1572, RPNLoss.loss_cls: 0.0376, RPNLoss.loss_bbox: 0.0444, RCNNLoss.rcnn_loss_cls: 0.2612, RCNNLoss.rcnn_loss_bbox: 0.2829, SampledMaskLoss.rcnn_loss_mask: 0.5311 [06/20 02:42:28] Vis4D INFO: Epoch 1: 1250/9726, ETA: 1:12:14, 1.96it/s, loss: 1.1315, RPNLoss.loss_cls: 0.0381, RPNLoss.loss_bbox: 0.0500, RCNNLoss.rcnn_loss_cls: 0.2375, RCNNLoss.rcnn_loss_bbox: 0.2865, SampledMaskLoss.rcnn_loss_mask: 0.5194 [06/20 02:42:53] Vis4D INFO: Epoch 1: 1300/9726, ETA: 1:11:49, 1.95it/s, loss: 1.1493, RPNLoss.loss_cls: 0.0398, RPNLoss.loss_bbox: 0.0506, RCNNLoss.rcnn_loss_cls: 0.2443, RCNNLoss.rcnn_loss_bbox: 0.2750, SampledMaskLoss.rcnn_loss_mask: 0.5396 [06/20 02:43:19] Vis4D INFO: Epoch 1: 1350/9726, ETA: 1:11:25, 1.95it/s, loss: 1.1146, RPNLoss.loss_cls: 0.0365, RPNLoss.loss_bbox: 0.0474, RCNNLoss.rcnn_loss_cls: 0.2381, RCNNLoss.rcnn_loss_bbox: 0.2695, SampledMaskLoss.rcnn_loss_mask: 0.5231 [06/20 02:43:45] Vis4D INFO: Epoch 1: 1400/9726, ETA: 1:11:04, 1.95it/s, loss: 1.1903, RPNLoss.loss_cls: 0.0379, RPNLoss.loss_bbox: 0.0485, RCNNLoss.rcnn_loss_cls: 0.2538, RCNNLoss.rcnn_loss_bbox: 0.3097, SampledMaskLoss.rcnn_loss_mask: 0.5405 [06/20 02:44:13] Vis4D INFO: Epoch 1: 1450/9726, ETA: 1:10:48, 1.95it/s, loss: 1.1538, RPNLoss.loss_cls: 0.0379, RPNLoss.loss_bbox: 0.0496, RCNNLoss.rcnn_loss_cls: 0.2505, RCNNLoss.rcnn_loss_bbox: 0.3026, SampledMaskLoss.rcnn_loss_mask: 0.5132 [06/20 02:44:39] Vis4D INFO: Epoch 1: 1500/9726, ETA: 1:10:25, 1.95it/s, loss: 1.1266, RPNLoss.loss_cls: 0.0445, RPNLoss.loss_bbox: 0.0459, RCNNLoss.rcnn_loss_cls: 0.2402, RCNNLoss.rcnn_loss_bbox: 0.2627, SampledMaskLoss.rcnn_loss_mask: 0.5333 [06/20 02:45:04] Vis4D INFO: Epoch 1: 1550/9726, ETA: 1:09:55, 1.95it/s, loss: 1.1445, RPNLoss.loss_cls: 0.0404, RPNLoss.loss_bbox: 0.0497, RCNNLoss.rcnn_loss_cls: 0.2432, RCNNLoss.rcnn_loss_bbox: 0.2781, SampledMaskLoss.rcnn_loss_mask: 0.5332 [06/20 02:45:28] Vis4D INFO: Epoch 1: 1600/9726, ETA: 1:09:24, 1.95it/s, loss: 1.1413, RPNLoss.loss_cls: 0.0436, RPNLoss.loss_bbox: 0.0469, RCNNLoss.rcnn_loss_cls: 0.2396, RCNNLoss.rcnn_loss_bbox: 0.2610, SampledMaskLoss.rcnn_loss_mask: 0.5501 [06/20 02:45:54] Vis4D INFO: Epoch 1: 1650/9726, ETA: 1:08:58, 1.95it/s, loss: 1.1173, RPNLoss.loss_cls: 0.0315, RPNLoss.loss_bbox: 0.0439, RCNNLoss.rcnn_loss_cls: 0.2431, RCNNLoss.rcnn_loss_bbox: 0.2776, SampledMaskLoss.rcnn_loss_mask: 0.5213 [06/20 02:46:19] Vis4D INFO: Epoch 1: 1700/9726, ETA: 1:08:30, 1.95it/s, loss: 1.0785, RPNLoss.loss_cls: 0.0259, RPNLoss.loss_bbox: 0.0382, RCNNLoss.rcnn_loss_cls: 0.2302, RCNNLoss.rcnn_loss_bbox: 0.2610, SampledMaskLoss.rcnn_loss_mask: 0.5232 [06/20 02:46:44] Vis4D INFO: Epoch 1: 1750/9726, ETA: 1:08:00, 1.95it/s, loss: 1.0645, RPNLoss.loss_cls: 0.0347, RPNLoss.loss_bbox: 0.0378, RCNNLoss.rcnn_loss_cls: 0.2052, RCNNLoss.rcnn_loss_bbox: 0.2442, SampledMaskLoss.rcnn_loss_mask: 0.5425 [06/20 02:47:09] Vis4D INFO: Epoch 1: 1800/9726, ETA: 1:07:34, 1.95it/s, loss: 1.1127, RPNLoss.loss_cls: 0.0355, RPNLoss.loss_bbox: 0.0497, RCNNLoss.rcnn_loss_cls: 0.2405, RCNNLoss.rcnn_loss_bbox: 0.2819, SampledMaskLoss.rcnn_loss_mask: 0.5050 [06/20 02:47:34] Vis4D INFO: Epoch 1: 1850/9726, ETA: 1:07:06, 1.96it/s, loss: 1.0641, RPNLoss.loss_cls: 0.0364, RPNLoss.loss_bbox: 0.0400, RCNNLoss.rcnn_loss_cls: 0.2115, RCNNLoss.rcnn_loss_bbox: 0.2622, SampledMaskLoss.rcnn_loss_mask: 0.5140 [06/20 02:48:00] Vis4D INFO: Epoch 1: 1900/9726, ETA: 1:06:41, 1.96it/s, loss: 1.0503, RPNLoss.loss_cls: 0.0278, RPNLoss.loss_bbox: 0.0370, RCNNLoss.rcnn_loss_cls: 0.2237, RCNNLoss.rcnn_loss_bbox: 0.2720, SampledMaskLoss.rcnn_loss_mask: 0.4898 [06/20 02:48:25] Vis4D INFO: Epoch 1: 1950/9726, ETA: 1:06:15, 1.96it/s, loss: 1.1289, RPNLoss.loss_cls: 0.0316, RPNLoss.loss_bbox: 0.0446, RCNNLoss.rcnn_loss_cls: 0.2456, RCNNLoss.rcnn_loss_bbox: 0.2852, SampledMaskLoss.rcnn_loss_mask: 0.5220 [06/20 02:48:49] Vis4D INFO: Epoch 1: 2000/9726, ETA: 1:05:42, 1.96it/s, loss: 1.0729, RPNLoss.loss_cls: 0.0296, RPNLoss.loss_bbox: 0.0443, RCNNLoss.rcnn_loss_cls: 0.2168, RCNNLoss.rcnn_loss_bbox: 0.2619, SampledMaskLoss.rcnn_loss_mask: 0.5203 [06/20 02:49:14] Vis4D INFO: Epoch 1: 2050/9726, ETA: 1:05:14, 1.96it/s, loss: 1.0008, RPNLoss.loss_cls: 0.0300, RPNLoss.loss_bbox: 0.0357, RCNNLoss.rcnn_loss_cls: 0.1972, RCNNLoss.rcnn_loss_bbox: 0.2340, SampledMaskLoss.rcnn_loss_mask: 0.5039 [06/20 02:49:39] Vis4D INFO: Epoch 1: 2100/9726, ETA: 1:04:48, 1.96it/s, loss: 1.0661, RPNLoss.loss_cls: 0.0335, RPNLoss.loss_bbox: 0.0427, RCNNLoss.rcnn_loss_cls: 0.2129, RCNNLoss.rcnn_loss_bbox: 0.2605, SampledMaskLoss.rcnn_loss_mask: 0.5165 [06/20 02:50:04] Vis4D INFO: Epoch 1: 2150/9726, ETA: 1:04:20, 1.96it/s, loss: 1.0865, RPNLoss.loss_cls: 0.0344, RPNLoss.loss_bbox: 0.0465, RCNNLoss.rcnn_loss_cls: 0.2259, RCNNLoss.rcnn_loss_bbox: 0.2688, SampledMaskLoss.rcnn_loss_mask: 0.5108 [06/20 02:50:29] Vis4D INFO: Epoch 1: 2200/9726, ETA: 1:03:53, 1.96it/s, loss: 1.0487, RPNLoss.loss_cls: 0.0311, RPNLoss.loss_bbox: 0.0424, RCNNLoss.rcnn_loss_cls: 0.2168, RCNNLoss.rcnn_loss_bbox: 0.2677, SampledMaskLoss.rcnn_loss_mask: 0.4907 [06/20 02:50:54] Vis4D INFO: Epoch 1: 2250/9726, ETA: 1:03:25, 1.96it/s, loss: 1.0619, RPNLoss.loss_cls: 0.0317, RPNLoss.loss_bbox: 0.0408, RCNNLoss.rcnn_loss_cls: 0.2297, RCNNLoss.rcnn_loss_bbox: 0.2834, SampledMaskLoss.rcnn_loss_mask: 0.4763 [06/20 02:51:18] Vis4D INFO: Epoch 1: 2300/9726, ETA: 1:02:55, 1.97it/s, loss: 0.9852, RPNLoss.loss_cls: 0.0291, RPNLoss.loss_bbox: 0.0406, RCNNLoss.rcnn_loss_cls: 0.1950, RCNNLoss.rcnn_loss_bbox: 0.2316, SampledMaskLoss.rcnn_loss_mask: 0.4889 [06/20 02:51:43] Vis4D INFO: Epoch 1: 2350/9726, ETA: 1:02:29, 1.97it/s, loss: 1.0476, RPNLoss.loss_cls: 0.0249, RPNLoss.loss_bbox: 0.0442, RCNNLoss.rcnn_loss_cls: 0.2142, RCNNLoss.rcnn_loss_bbox: 0.2596, SampledMaskLoss.rcnn_loss_mask: 0.5047 [06/20 02:52:07] Vis4D INFO: Epoch 1: 2400/9726, ETA: 1:02:00, 1.97it/s, loss: 1.0106, RPNLoss.loss_cls: 0.0256, RPNLoss.loss_bbox: 0.0389, RCNNLoss.rcnn_loss_cls: 0.2005, RCNNLoss.rcnn_loss_bbox: 0.2521, SampledMaskLoss.rcnn_loss_mask: 0.4935 [06/20 02:52:32] Vis4D INFO: Epoch 1: 2450/9726, ETA: 1:01:32, 1.97it/s, loss: 1.0825, RPNLoss.loss_cls: 0.0330, RPNLoss.loss_bbox: 0.0448, RCNNLoss.rcnn_loss_cls: 0.2244, RCNNLoss.rcnn_loss_bbox: 0.2717, SampledMaskLoss.rcnn_loss_mask: 0.5086 [06/20 02:52:56] Vis4D INFO: Epoch 1: 2500/9726, ETA: 1:01:05, 1.97it/s, loss: 1.0339, RPNLoss.loss_cls: 0.0238, RPNLoss.loss_bbox: 0.0420, RCNNLoss.rcnn_loss_cls: 0.2042, RCNNLoss.rcnn_loss_bbox: 0.2592, SampledMaskLoss.rcnn_loss_mask: 0.5047 [06/20 02:53:22] Vis4D INFO: Epoch 1: 2550/9726, ETA: 1:00:39, 1.97it/s, loss: 0.9992, RPNLoss.loss_cls: 0.0276, RPNLoss.loss_bbox: 0.0381, RCNNLoss.rcnn_loss_cls: 0.1847, RCNNLoss.rcnn_loss_bbox: 0.2248, SampledMaskLoss.rcnn_loss_mask: 0.5240 [06/20 02:53:47] Vis4D INFO: Epoch 1: 2600/9726, ETA: 1:00:12, 1.97it/s, loss: 1.0398, RPNLoss.loss_cls: 0.0345, RPNLoss.loss_bbox: 0.0461, RCNNLoss.rcnn_loss_cls: 0.2106, RCNNLoss.rcnn_loss_bbox: 0.2544, SampledMaskLoss.rcnn_loss_mask: 0.4943 [06/20 02:54:12] Vis4D INFO: Epoch 1: 2650/9726, ETA: 0:59:46, 1.97it/s, loss: 1.0086, RPNLoss.loss_cls: 0.0243, RPNLoss.loss_bbox: 0.0390, RCNNLoss.rcnn_loss_cls: 0.1983, RCNNLoss.rcnn_loss_bbox: 0.2461, SampledMaskLoss.rcnn_loss_mask: 0.5009 [06/20 02:54:36] Vis4D INFO: Epoch 1: 2700/9726, ETA: 0:59:19, 1.97it/s, loss: 1.0014, RPNLoss.loss_cls: 0.0490, RPNLoss.loss_bbox: 0.0390, RCNNLoss.rcnn_loss_cls: 0.1871, RCNNLoss.rcnn_loss_bbox: 0.2313, SampledMaskLoss.rcnn_loss_mask: 0.4950 [06/20 02:55:00] Vis4D INFO: Epoch 1: 2750/9726, ETA: 0:58:49, 1.98it/s, loss: 0.9607, RPNLoss.loss_cls: 0.0320, RPNLoss.loss_bbox: 0.0378, RCNNLoss.rcnn_loss_cls: 0.1745, RCNNLoss.rcnn_loss_bbox: 0.2107, SampledMaskLoss.rcnn_loss_mask: 0.5058 [06/20 02:55:26] Vis4D INFO: Epoch 1: 2800/9726, ETA: 0:58:26, 1.98it/s, loss: 1.0228, RPNLoss.loss_cls: 0.0258, RPNLoss.loss_bbox: 0.0396, RCNNLoss.rcnn_loss_cls: 0.2014, RCNNLoss.rcnn_loss_bbox: 0.2498, SampledMaskLoss.rcnn_loss_mask: 0.5061 [06/20 02:55:50] Vis4D INFO: Epoch 1: 2850/9726, ETA: 0:57:58, 1.98it/s, loss: 1.0547, RPNLoss.loss_cls: 0.0322, RPNLoss.loss_bbox: 0.0437, RCNNLoss.rcnn_loss_cls: 0.2194, RCNNLoss.rcnn_loss_bbox: 0.2581, SampledMaskLoss.rcnn_loss_mask: 0.5014 [06/20 02:56:15] Vis4D INFO: Epoch 1: 2900/9726, ETA: 0:57:32, 1.98it/s, loss: 0.9883, RPNLoss.loss_cls: 0.0293, RPNLoss.loss_bbox: 0.0401, RCNNLoss.rcnn_loss_cls: 0.1885, RCNNLoss.rcnn_loss_bbox: 0.2460, SampledMaskLoss.rcnn_loss_mask: 0.4845 [06/20 02:56:40] Vis4D INFO: Epoch 1: 2950/9726, ETA: 0:57:07, 1.98it/s, loss: 1.0462, RPNLoss.loss_cls: 0.0271, RPNLoss.loss_bbox: 0.0428, RCNNLoss.rcnn_loss_cls: 0.2094, RCNNLoss.rcnn_loss_bbox: 0.2615, SampledMaskLoss.rcnn_loss_mask: 0.5055 [06/20 02:57:06] Vis4D INFO: Epoch 1: 3000/9726, ETA: 0:56:42, 1.98it/s, loss: 1.1062, RPNLoss.loss_cls: 0.0362, RPNLoss.loss_bbox: 0.0452, RCNNLoss.rcnn_loss_cls: 0.2138, RCNNLoss.rcnn_loss_bbox: 0.2898, SampledMaskLoss.rcnn_loss_mask: 0.5211 [06/20 02:57:32] Vis4D INFO: Epoch 1: 3050/9726, ETA: 0:56:18, 1.98it/s, loss: 1.0431, RPNLoss.loss_cls: 0.0280, RPNLoss.loss_bbox: 0.0450, RCNNLoss.rcnn_loss_cls: 0.2174, RCNNLoss.rcnn_loss_bbox: 0.2709, SampledMaskLoss.rcnn_loss_mask: 0.4817 [06/20 02:57:57] Vis4D INFO: Epoch 1: 3100/9726, ETA: 0:55:52, 1.98it/s, loss: 1.0576, RPNLoss.loss_cls: 0.0278, RPNLoss.loss_bbox: 0.0411, RCNNLoss.rcnn_loss_cls: 0.2105, RCNNLoss.rcnn_loss_bbox: 0.2527, SampledMaskLoss.rcnn_loss_mask: 0.5255 [06/20 02:58:21] Vis4D INFO: Epoch 1: 3150/9726, ETA: 0:55:24, 1.98it/s, loss: 0.9708, RPNLoss.loss_cls: 0.0208, RPNLoss.loss_bbox: 0.0358, RCNNLoss.rcnn_loss_cls: 0.1825, RCNNLoss.rcnn_loss_bbox: 0.2295, SampledMaskLoss.rcnn_loss_mask: 0.5022 [06/20 02:58:47] Vis4D INFO: Epoch 1: 3200/9726, ETA: 0:55:00, 1.98it/s, loss: 0.9812, RPNLoss.loss_cls: 0.0343, RPNLoss.loss_bbox: 0.0353, RCNNLoss.rcnn_loss_cls: 0.1859, RCNNLoss.rcnn_loss_bbox: 0.2224, SampledMaskLoss.rcnn_loss_mask: 0.5032 [06/20 02:59:12] Vis4D INFO: Epoch 1: 3250/9726, ETA: 0:54:35, 1.98it/s, loss: 0.9521, RPNLoss.loss_cls: 0.0186, RPNLoss.loss_bbox: 0.0354, RCNNLoss.rcnn_loss_cls: 0.1782, RCNNLoss.rcnn_loss_bbox: 0.2285, SampledMaskLoss.rcnn_loss_mask: 0.4913 [06/20 02:59:38] Vis4D INFO: Epoch 1: 3300/9726, ETA: 0:54:10, 1.98it/s, loss: 1.0034, RPNLoss.loss_cls: 0.0206, RPNLoss.loss_bbox: 0.0423, RCNNLoss.rcnn_loss_cls: 0.1909, RCNNLoss.rcnn_loss_bbox: 0.2539, SampledMaskLoss.rcnn_loss_mask: 0.4957 [06/20 03:00:03] Vis4D INFO: Epoch 1: 3350/9726, ETA: 0:53:45, 1.98it/s, loss: 0.9884, RPNLoss.loss_cls: 0.0203, RPNLoss.loss_bbox: 0.0425, RCNNLoss.rcnn_loss_cls: 0.1929, RCNNLoss.rcnn_loss_bbox: 0.2644, SampledMaskLoss.rcnn_loss_mask: 0.4683 [06/20 03:00:28] Vis4D INFO: Epoch 1: 3400/9726, ETA: 0:53:20, 1.98it/s, loss: 0.8919, RPNLoss.loss_cls: 0.0270, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1540, RCNNLoss.rcnn_loss_bbox: 0.1930, SampledMaskLoss.rcnn_loss_mask: 0.4890 [06/20 03:00:54] Vis4D INFO: Epoch 1: 3450/9726, ETA: 0:52:55, 1.98it/s, loss: 1.0438, RPNLoss.loss_cls: 0.0245, RPNLoss.loss_bbox: 0.0403, RCNNLoss.rcnn_loss_cls: 0.1999, RCNNLoss.rcnn_loss_bbox: 0.2652, SampledMaskLoss.rcnn_loss_mask: 0.5140 [06/20 03:01:19] Vis4D INFO: Epoch 1: 3500/9726, ETA: 0:52:29, 1.98it/s, loss: 0.9944, RPNLoss.loss_cls: 0.0291, RPNLoss.loss_bbox: 0.0417, RCNNLoss.rcnn_loss_cls: 0.1997, RCNNLoss.rcnn_loss_bbox: 0.2439, SampledMaskLoss.rcnn_loss_mask: 0.4800 [06/20 03:01:44] Vis4D INFO: Epoch 1: 3550/9726, ETA: 0:52:04, 1.98it/s, loss: 0.9417, RPNLoss.loss_cls: 0.0186, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1731, RCNNLoss.rcnn_loss_bbox: 0.2284, SampledMaskLoss.rcnn_loss_mask: 0.4896 [06/20 03:02:10] Vis4D INFO: Epoch 1: 3600/9726, ETA: 0:51:39, 1.98it/s, loss: 0.9249, RPNLoss.loss_cls: 0.0239, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1662, RCNNLoss.rcnn_loss_bbox: 0.2056, SampledMaskLoss.rcnn_loss_mask: 0.4961 [06/20 03:02:34] Vis4D INFO: Epoch 1: 3650/9726, ETA: 0:51:12, 1.98it/s, loss: 1.0409, RPNLoss.loss_cls: 0.0259, RPNLoss.loss_bbox: 0.0424, RCNNLoss.rcnn_loss_cls: 0.2057, RCNNLoss.rcnn_loss_bbox: 0.2648, SampledMaskLoss.rcnn_loss_mask: 0.5021 [06/20 03:02:58] Vis4D INFO: Epoch 1: 3700/9726, ETA: 0:50:45, 1.98it/s, loss: 1.0112, RPNLoss.loss_cls: 0.0308, RPNLoss.loss_bbox: 0.0410, RCNNLoss.rcnn_loss_cls: 0.1947, RCNNLoss.rcnn_loss_bbox: 0.2337, SampledMaskLoss.rcnn_loss_mask: 0.5109 [06/20 03:03:24] Vis4D INFO: Epoch 1: 3750/9726, ETA: 0:50:21, 1.98it/s, loss: 0.9908, RPNLoss.loss_cls: 0.0270, RPNLoss.loss_bbox: 0.0405, RCNNLoss.rcnn_loss_cls: 0.1886, RCNNLoss.rcnn_loss_bbox: 0.2364, SampledMaskLoss.rcnn_loss_mask: 0.4983 [06/20 03:03:49] Vis4D INFO: Epoch 1: 3800/9726, ETA: 0:49:54, 1.98it/s, loss: 0.9846, RPNLoss.loss_cls: 0.0269, RPNLoss.loss_bbox: 0.0404, RCNNLoss.rcnn_loss_cls: 0.1901, RCNNLoss.rcnn_loss_bbox: 0.2358, SampledMaskLoss.rcnn_loss_mask: 0.4914 [06/20 03:04:14] Vis4D INFO: Epoch 1: 3850/9726, ETA: 0:49:29, 1.98it/s, loss: 1.0044, RPNLoss.loss_cls: 0.0224, RPNLoss.loss_bbox: 0.0354, RCNNLoss.rcnn_loss_cls: 0.1867, RCNNLoss.rcnn_loss_bbox: 0.2545, SampledMaskLoss.rcnn_loss_mask: 0.5054 [06/20 03:04:40] Vis4D INFO: Epoch 1: 3900/9726, ETA: 0:49:05, 1.98it/s, loss: 0.9736, RPNLoss.loss_cls: 0.0249, RPNLoss.loss_bbox: 0.0347, RCNNLoss.rcnn_loss_cls: 0.1867, RCNNLoss.rcnn_loss_bbox: 0.2372, SampledMaskLoss.rcnn_loss_mask: 0.4901 [06/20 03:05:06] Vis4D INFO: Epoch 1: 3950/9726, ETA: 0:48:40, 1.98it/s, loss: 0.9479, RPNLoss.loss_cls: 0.0241, RPNLoss.loss_bbox: 0.0364, RCNNLoss.rcnn_loss_cls: 0.1610, RCNNLoss.rcnn_loss_bbox: 0.2161, SampledMaskLoss.rcnn_loss_mask: 0.5102 [06/20 03:05:30] Vis4D INFO: Epoch 1: 4000/9726, ETA: 0:48:14, 1.98it/s, loss: 1.0050, RPNLoss.loss_cls: 0.0225, RPNLoss.loss_bbox: 0.0416, RCNNLoss.rcnn_loss_cls: 0.1910, RCNNLoss.rcnn_loss_bbox: 0.2508, SampledMaskLoss.rcnn_loss_mask: 0.4990 [06/20 03:05:56] Vis4D INFO: Epoch 1: 4050/9726, ETA: 0:47:50, 1.98it/s, loss: 0.9927, RPNLoss.loss_cls: 0.0185, RPNLoss.loss_bbox: 0.0357, RCNNLoss.rcnn_loss_cls: 0.1832, RCNNLoss.rcnn_loss_bbox: 0.2527, SampledMaskLoss.rcnn_loss_mask: 0.5026 [06/20 03:06:22] Vis4D INFO: Epoch 1: 4100/9726, ETA: 0:47:25, 1.98it/s, loss: 1.0301, RPNLoss.loss_cls: 0.0243, RPNLoss.loss_bbox: 0.0419, RCNNLoss.rcnn_loss_cls: 0.1992, RCNNLoss.rcnn_loss_bbox: 0.2535, SampledMaskLoss.rcnn_loss_mask: 0.5111 [06/20 03:06:47] Vis4D INFO: Epoch 1: 4150/9726, ETA: 0:46:59, 1.98it/s, loss: 0.9858, RPNLoss.loss_cls: 0.0206, RPNLoss.loss_bbox: 0.0395, RCNNLoss.rcnn_loss_cls: 0.1785, RCNNLoss.rcnn_loss_bbox: 0.2509, SampledMaskLoss.rcnn_loss_mask: 0.4962 [06/20 03:07:13] Vis4D INFO: Epoch 1: 4200/9726, ETA: 0:46:36, 1.98it/s, loss: 0.9887, RPNLoss.loss_cls: 0.0316, RPNLoss.loss_bbox: 0.0416, RCNNLoss.rcnn_loss_cls: 0.1828, RCNNLoss.rcnn_loss_bbox: 0.2413, SampledMaskLoss.rcnn_loss_mask: 0.4915 [06/20 03:07:38] Vis4D INFO: Epoch 1: 4250/9726, ETA: 0:46:09, 1.98it/s, loss: 1.0070, RPNLoss.loss_cls: 0.0229, RPNLoss.loss_bbox: 0.0489, RCNNLoss.rcnn_loss_cls: 0.1859, RCNNLoss.rcnn_loss_bbox: 0.2579, SampledMaskLoss.rcnn_loss_mask: 0.4913 [06/20 03:08:03] Vis4D INFO: Epoch 1: 4300/9726, ETA: 0:45:44, 1.98it/s, loss: 0.9620, RPNLoss.loss_cls: 0.0203, RPNLoss.loss_bbox: 0.0360, RCNNLoss.rcnn_loss_cls: 0.1778, RCNNLoss.rcnn_loss_bbox: 0.2497, SampledMaskLoss.rcnn_loss_mask: 0.4783 [06/20 03:08:28] Vis4D INFO: Epoch 1: 4350/9726, ETA: 0:45:18, 1.98it/s, loss: 0.9670, RPNLoss.loss_cls: 0.0226, RPNLoss.loss_bbox: 0.0365, RCNNLoss.rcnn_loss_cls: 0.1914, RCNNLoss.rcnn_loss_bbox: 0.2303, SampledMaskLoss.rcnn_loss_mask: 0.4863 [06/20 03:08:54] Vis4D INFO: Epoch 1: 4400/9726, ETA: 0:44:53, 1.98it/s, loss: 1.0657, RPNLoss.loss_cls: 0.0259, RPNLoss.loss_bbox: 0.0437, RCNNLoss.rcnn_loss_cls: 0.2072, RCNNLoss.rcnn_loss_bbox: 0.2690, SampledMaskLoss.rcnn_loss_mask: 0.5199 [06/20 03:09:20] Vis4D INFO: Epoch 1: 4450/9726, ETA: 0:44:29, 1.98it/s, loss: 0.9910, RPNLoss.loss_cls: 0.0200, RPNLoss.loss_bbox: 0.0371, RCNNLoss.rcnn_loss_cls: 0.1826, RCNNLoss.rcnn_loss_bbox: 0.2532, SampledMaskLoss.rcnn_loss_mask: 0.4981 [06/20 03:09:45] Vis4D INFO: Epoch 1: 4500/9726, ETA: 0:44:03, 1.98it/s, loss: 0.9876, RPNLoss.loss_cls: 0.0213, RPNLoss.loss_bbox: 0.0386, RCNNLoss.rcnn_loss_cls: 0.1880, RCNNLoss.rcnn_loss_bbox: 0.2465, SampledMaskLoss.rcnn_loss_mask: 0.4932 [06/20 03:10:09] Vis4D INFO: Epoch 1: 4550/9726, ETA: 0:43:37, 1.98it/s, loss: 0.9496, RPNLoss.loss_cls: 0.0231, RPNLoss.loss_bbox: 0.0400, RCNNLoss.rcnn_loss_cls: 0.1746, RCNNLoss.rcnn_loss_bbox: 0.2403, SampledMaskLoss.rcnn_loss_mask: 0.4715 [06/20 03:10:35] Vis4D INFO: Epoch 1: 4600/9726, ETA: 0:43:12, 1.98it/s, loss: 0.9444, RPNLoss.loss_cls: 0.0212, RPNLoss.loss_bbox: 0.0427, RCNNLoss.rcnn_loss_cls: 0.1753, RCNNLoss.rcnn_loss_bbox: 0.2400, SampledMaskLoss.rcnn_loss_mask: 0.4652 [06/20 03:10:59] Vis4D INFO: Epoch 1: 4650/9726, ETA: 0:42:46, 1.98it/s, loss: 0.8820, RPNLoss.loss_cls: 0.0213, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.1444, RCNNLoss.rcnn_loss_bbox: 0.1985, SampledMaskLoss.rcnn_loss_mask: 0.4893 [06/20 03:11:24] Vis4D INFO: Epoch 1: 4700/9726, ETA: 0:42:20, 1.98it/s, loss: 0.9614, RPNLoss.loss_cls: 0.0260, RPNLoss.loss_bbox: 0.0412, RCNNLoss.rcnn_loss_cls: 0.1716, RCNNLoss.rcnn_loss_bbox: 0.2248, SampledMaskLoss.rcnn_loss_mask: 0.4978 [06/20 03:11:50] Vis4D INFO: Epoch 1: 4750/9726, ETA: 0:41:55, 1.98it/s, loss: 0.9478, RPNLoss.loss_cls: 0.0232, RPNLoss.loss_bbox: 0.0437, RCNNLoss.rcnn_loss_cls: 0.1790, RCNNLoss.rcnn_loss_bbox: 0.2344, SampledMaskLoss.rcnn_loss_mask: 0.4675 [06/20 03:12:15] Vis4D INFO: Epoch 1: 4800/9726, ETA: 0:41:30, 1.98it/s, loss: 0.9670, RPNLoss.loss_cls: 0.0224, RPNLoss.loss_bbox: 0.0421, RCNNLoss.rcnn_loss_cls: 0.1770, RCNNLoss.rcnn_loss_bbox: 0.2363, SampledMaskLoss.rcnn_loss_mask: 0.4892 [06/20 03:12:41] Vis4D INFO: Epoch 1: 4850/9726, ETA: 0:41:05, 1.98it/s, loss: 0.9733, RPNLoss.loss_cls: 0.0171, RPNLoss.loss_bbox: 0.0361, RCNNLoss.rcnn_loss_cls: 0.1743, RCNNLoss.rcnn_loss_bbox: 0.2488, SampledMaskLoss.rcnn_loss_mask: 0.4970 [06/20 03:13:05] Vis4D INFO: Epoch 1: 4900/9726, ETA: 0:40:39, 1.98it/s, loss: 0.9329, RPNLoss.loss_cls: 0.0240, RPNLoss.loss_bbox: 0.0346, RCNNLoss.rcnn_loss_cls: 0.1678, RCNNLoss.rcnn_loss_bbox: 0.2207, SampledMaskLoss.rcnn_loss_mask: 0.4859 [06/20 03:13:30] Vis4D INFO: Epoch 1: 4950/9726, ETA: 0:40:13, 1.98it/s, loss: 0.9826, RPNLoss.loss_cls: 0.0311, RPNLoss.loss_bbox: 0.0394, RCNNLoss.rcnn_loss_cls: 0.1873, RCNNLoss.rcnn_loss_bbox: 0.2278, SampledMaskLoss.rcnn_loss_mask: 0.4970 [06/20 03:13:56] Vis4D INFO: Epoch 1: 5000/9726, ETA: 0:39:48, 1.98it/s, loss: 0.9565, RPNLoss.loss_cls: 0.0225, RPNLoss.loss_bbox: 0.0366, RCNNLoss.rcnn_loss_cls: 0.1952, RCNNLoss.rcnn_loss_bbox: 0.2281, SampledMaskLoss.rcnn_loss_mask: 0.4740 [06/20 03:14:22] Vis4D INFO: Epoch 1: 5050/9726, ETA: 0:39:24, 1.98it/s, loss: 0.9847, RPNLoss.loss_cls: 0.0239, RPNLoss.loss_bbox: 0.0390, RCNNLoss.rcnn_loss_cls: 0.1992, RCNNLoss.rcnn_loss_bbox: 0.2320, SampledMaskLoss.rcnn_loss_mask: 0.4906 [06/20 03:14:47] Vis4D INFO: Epoch 1: 5100/9726, ETA: 0:38:58, 1.98it/s, loss: 0.9828, RPNLoss.loss_cls: 0.0211, RPNLoss.loss_bbox: 0.0425, RCNNLoss.rcnn_loss_cls: 0.1905, RCNNLoss.rcnn_loss_bbox: 0.2559, SampledMaskLoss.rcnn_loss_mask: 0.4728 [06/20 03:15:12] Vis4D INFO: Epoch 1: 5150/9726, ETA: 0:38:33, 1.98it/s, loss: 0.8602, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0314, RCNNLoss.rcnn_loss_cls: 0.1703, RCNNLoss.rcnn_loss_bbox: 0.2139, SampledMaskLoss.rcnn_loss_mask: 0.4316 [06/20 03:15:36] Vis4D INFO: Epoch 1: 5200/9726, ETA: 0:38:07, 1.98it/s, loss: 0.9669, RPNLoss.loss_cls: 0.0276, RPNLoss.loss_bbox: 0.0423, RCNNLoss.rcnn_loss_cls: 0.1692, RCNNLoss.rcnn_loss_bbox: 0.2289, SampledMaskLoss.rcnn_loss_mask: 0.4990 [06/20 03:16:00] Vis4D INFO: Epoch 1: 5250/9726, ETA: 0:37:41, 1.98it/s, loss: 0.9547, RPNLoss.loss_cls: 0.0267, RPNLoss.loss_bbox: 0.0329, RCNNLoss.rcnn_loss_cls: 0.1635, RCNNLoss.rcnn_loss_bbox: 0.2239, SampledMaskLoss.rcnn_loss_mask: 0.5077 [06/20 03:16:26] Vis4D INFO: Epoch 1: 5300/9726, ETA: 0:37:16, 1.98it/s, loss: 0.9086, RPNLoss.loss_cls: 0.0203, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1637, RCNNLoss.rcnn_loss_bbox: 0.2150, SampledMaskLoss.rcnn_loss_mask: 0.4779 [06/20 03:16:51] Vis4D INFO: Epoch 1: 5350/9726, ETA: 0:36:50, 1.98it/s, loss: 0.8772, RPNLoss.loss_cls: 0.0216, RPNLoss.loss_bbox: 0.0346, RCNNLoss.rcnn_loss_cls: 0.1597, RCNNLoss.rcnn_loss_bbox: 0.2097, SampledMaskLoss.rcnn_loss_mask: 0.4515 [06/20 03:17:16] Vis4D INFO: Epoch 1: 5400/9726, ETA: 0:36:25, 1.98it/s, loss: 0.8871, RPNLoss.loss_cls: 0.0202, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1497, RCNNLoss.rcnn_loss_bbox: 0.2081, SampledMaskLoss.rcnn_loss_mask: 0.4774 [06/20 03:17:41] Vis4D INFO: Epoch 1: 5450/9726, ETA: 0:35:59, 1.98it/s, loss: 0.9395, RPNLoss.loss_cls: 0.0217, RPNLoss.loss_bbox: 0.0349, RCNNLoss.rcnn_loss_cls: 0.1735, RCNNLoss.rcnn_loss_bbox: 0.2255, SampledMaskLoss.rcnn_loss_mask: 0.4839 [06/20 03:18:07] Vis4D INFO: Epoch 1: 5500/9726, ETA: 0:35:35, 1.98it/s, loss: 0.9075, RPNLoss.loss_cls: 0.0202, RPNLoss.loss_bbox: 0.0379, RCNNLoss.rcnn_loss_cls: 0.1634, RCNNLoss.rcnn_loss_bbox: 0.2201, SampledMaskLoss.rcnn_loss_mask: 0.4658 [06/20 03:18:32] Vis4D INFO: Epoch 1: 5550/9726, ETA: 0:35:09, 1.98it/s, loss: 0.9112, RPNLoss.loss_cls: 0.0219, RPNLoss.loss_bbox: 0.0365, RCNNLoss.rcnn_loss_cls: 0.1568, RCNNLoss.rcnn_loss_bbox: 0.2114, SampledMaskLoss.rcnn_loss_mask: 0.4847 [06/20 03:18:57] Vis4D INFO: Epoch 1: 5600/9726, ETA: 0:34:44, 1.98it/s, loss: 0.8884, RPNLoss.loss_cls: 0.0181, RPNLoss.loss_bbox: 0.0355, RCNNLoss.rcnn_loss_cls: 0.1629, RCNNLoss.rcnn_loss_bbox: 0.2218, SampledMaskLoss.rcnn_loss_mask: 0.4499 [06/20 03:19:22] Vis4D INFO: Epoch 1: 5650/9726, ETA: 0:34:18, 1.98it/s, loss: 0.9180, RPNLoss.loss_cls: 0.0250, RPNLoss.loss_bbox: 0.0370, RCNNLoss.rcnn_loss_cls: 0.1590, RCNNLoss.rcnn_loss_bbox: 0.2226, SampledMaskLoss.rcnn_loss_mask: 0.4744 [06/20 03:19:48] Vis4D INFO: Epoch 1: 5700/9726, ETA: 0:33:53, 1.98it/s, loss: 0.9277, RPNLoss.loss_cls: 0.0201, RPNLoss.loss_bbox: 0.0356, RCNNLoss.rcnn_loss_cls: 0.1697, RCNNLoss.rcnn_loss_bbox: 0.2329, SampledMaskLoss.rcnn_loss_mask: 0.4694 [06/20 03:20:11] Vis4D INFO: Epoch 1: 5750/9726, ETA: 0:33:27, 1.98it/s, loss: 0.9782, RPNLoss.loss_cls: 0.0294, RPNLoss.loss_bbox: 0.0444, RCNNLoss.rcnn_loss_cls: 0.1792, RCNNLoss.rcnn_loss_bbox: 0.2443, SampledMaskLoss.rcnn_loss_mask: 0.4809 [06/20 03:20:36] Vis4D INFO: Epoch 1: 5800/9726, ETA: 0:33:01, 1.98it/s, loss: 0.9580, RPNLoss.loss_cls: 0.0204, RPNLoss.loss_bbox: 0.0399, RCNNLoss.rcnn_loss_cls: 0.1788, RCNNLoss.rcnn_loss_bbox: 0.2468, SampledMaskLoss.rcnn_loss_mask: 0.4722 [06/20 03:21:01] Vis4D INFO: Epoch 1: 5850/9726, ETA: 0:32:36, 1.98it/s, loss: 0.9300, RPNLoss.loss_cls: 0.0178, RPNLoss.loss_bbox: 0.0386, RCNNLoss.rcnn_loss_cls: 0.1756, RCNNLoss.rcnn_loss_bbox: 0.2364, SampledMaskLoss.rcnn_loss_mask: 0.4617 [06/20 03:21:26] Vis4D INFO: Epoch 1: 5900/9726, ETA: 0:32:11, 1.98it/s, loss: 0.9417, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0358, RCNNLoss.rcnn_loss_cls: 0.1666, RCNNLoss.rcnn_loss_bbox: 0.2237, SampledMaskLoss.rcnn_loss_mask: 0.5002 [06/20 03:21:52] Vis4D INFO: Epoch 1: 5950/9726, ETA: 0:31:45, 1.98it/s, loss: 0.9331, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0372, RCNNLoss.rcnn_loss_cls: 0.1627, RCNNLoss.rcnn_loss_bbox: 0.2204, SampledMaskLoss.rcnn_loss_mask: 0.4939 [06/20 03:22:17] Vis4D INFO: Epoch 1: 6000/9726, ETA: 0:31:20, 1.98it/s, loss: 0.8992, RPNLoss.loss_cls: 0.0259, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1480, RCNNLoss.rcnn_loss_bbox: 0.2113, SampledMaskLoss.rcnn_loss_mask: 0.4814 [06/20 03:22:40] Vis4D INFO: Epoch 1: 6050/9726, ETA: 0:30:54, 1.98it/s, loss: 0.9175, RPNLoss.loss_cls: 0.0200, RPNLoss.loss_bbox: 0.0333, RCNNLoss.rcnn_loss_cls: 0.1503, RCNNLoss.rcnn_loss_bbox: 0.2067, SampledMaskLoss.rcnn_loss_mask: 0.5073 [06/20 03:23:06] Vis4D INFO: Epoch 1: 6100/9726, ETA: 0:30:29, 1.98it/s, loss: 0.9432, RPNLoss.loss_cls: 0.0200, RPNLoss.loss_bbox: 0.0349, RCNNLoss.rcnn_loss_cls: 0.1710, RCNNLoss.rcnn_loss_bbox: 0.2378, SampledMaskLoss.rcnn_loss_mask: 0.4795 [06/20 03:23:30] Vis4D INFO: Epoch 1: 6150/9726, ETA: 0:30:03, 1.98it/s, loss: 0.9042, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0312, RCNNLoss.rcnn_loss_cls: 0.1490, RCNNLoss.rcnn_loss_bbox: 0.2020, SampledMaskLoss.rcnn_loss_mask: 0.5051 [06/20 03:23:55] Vis4D INFO: Epoch 1: 6200/9726, ETA: 0:29:38, 1.98it/s, loss: 0.9492, RPNLoss.loss_cls: 0.0284, RPNLoss.loss_bbox: 0.0373, RCNNLoss.rcnn_loss_cls: 0.1732, RCNNLoss.rcnn_loss_bbox: 0.2263, SampledMaskLoss.rcnn_loss_mask: 0.4839 [06/20 03:24:20] Vis4D INFO: Epoch 1: 6250/9726, ETA: 0:29:12, 1.98it/s, loss: 0.9467, RPNLoss.loss_cls: 0.0214, RPNLoss.loss_bbox: 0.0398, RCNNLoss.rcnn_loss_cls: 0.1774, RCNNLoss.rcnn_loss_bbox: 0.2206, SampledMaskLoss.rcnn_loss_mask: 0.4875 [06/20 03:24:45] Vis4D INFO: Epoch 1: 6300/9726, ETA: 0:28:47, 1.98it/s, loss: 0.9060, RPNLoss.loss_cls: 0.0208, RPNLoss.loss_bbox: 0.0356, RCNNLoss.rcnn_loss_cls: 0.1461, RCNNLoss.rcnn_loss_bbox: 0.2144, SampledMaskLoss.rcnn_loss_mask: 0.4891 [06/20 03:25:10] Vis4D INFO: Epoch 1: 6350/9726, ETA: 0:28:21, 1.98it/s, loss: 0.9566, RPNLoss.loss_cls: 0.0254, RPNLoss.loss_bbox: 0.0391, RCNNLoss.rcnn_loss_cls: 0.1698, RCNNLoss.rcnn_loss_bbox: 0.2348, SampledMaskLoss.rcnn_loss_mask: 0.4875 [06/20 03:25:36] Vis4D INFO: Epoch 1: 6400/9726, ETA: 0:27:57, 1.98it/s, loss: 0.9121, RPNLoss.loss_cls: 0.0247, RPNLoss.loss_bbox: 0.0337, RCNNLoss.rcnn_loss_cls: 0.1647, RCNNLoss.rcnn_loss_bbox: 0.2197, SampledMaskLoss.rcnn_loss_mask: 0.4693 [06/20 03:26:01] Vis4D INFO: Epoch 1: 6450/9726, ETA: 0:27:31, 1.98it/s, loss: 0.9292, RPNLoss.loss_cls: 0.0178, RPNLoss.loss_bbox: 0.0374, RCNNLoss.rcnn_loss_cls: 0.1761, RCNNLoss.rcnn_loss_bbox: 0.2342, SampledMaskLoss.rcnn_loss_mask: 0.4638 [06/20 03:26:27] Vis4D INFO: Epoch 1: 6500/9726, ETA: 0:27:07, 1.98it/s, loss: 0.9817, RPNLoss.loss_cls: 0.0316, RPNLoss.loss_bbox: 0.0444, RCNNLoss.rcnn_loss_cls: 0.1910, RCNNLoss.rcnn_loss_bbox: 0.2458, SampledMaskLoss.rcnn_loss_mask: 0.4689 [06/20 03:26:53] Vis4D INFO: Epoch 1: 6550/9726, ETA: 0:26:42, 1.98it/s, loss: 0.9146, RPNLoss.loss_cls: 0.0181, RPNLoss.loss_bbox: 0.0355, RCNNLoss.rcnn_loss_cls: 0.1588, RCNNLoss.rcnn_loss_bbox: 0.2270, SampledMaskLoss.rcnn_loss_mask: 0.4752 [06/20 03:27:17] Vis4D INFO: Epoch 1: 6600/9726, ETA: 0:26:16, 1.98it/s, loss: 0.8829, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0328, RCNNLoss.rcnn_loss_cls: 0.1597, RCNNLoss.rcnn_loss_bbox: 0.2217, SampledMaskLoss.rcnn_loss_mask: 0.4522 [06/20 03:27:42] Vis4D INFO: Epoch 1: 6650/9726, ETA: 0:25:51, 1.98it/s, loss: 0.9189, RPNLoss.loss_cls: 0.0233, RPNLoss.loss_bbox: 0.0414, RCNNLoss.rcnn_loss_cls: 0.1659, RCNNLoss.rcnn_loss_bbox: 0.2260, SampledMaskLoss.rcnn_loss_mask: 0.4623 [06/20 03:28:07] Vis4D INFO: Epoch 1: 6700/9726, ETA: 0:25:25, 1.98it/s, loss: 0.9377, RPNLoss.loss_cls: 0.0216, RPNLoss.loss_bbox: 0.0414, RCNNLoss.rcnn_loss_cls: 0.1739, RCNNLoss.rcnn_loss_bbox: 0.2411, SampledMaskLoss.rcnn_loss_mask: 0.4598 [06/20 03:28:31] Vis4D INFO: Epoch 1: 6750/9726, ETA: 0:25:00, 1.98it/s, loss: 0.8931, RPNLoss.loss_cls: 0.0258, RPNLoss.loss_bbox: 0.0346, RCNNLoss.rcnn_loss_cls: 0.1511, RCNNLoss.rcnn_loss_bbox: 0.2218, SampledMaskLoss.rcnn_loss_mask: 0.4598 [06/20 03:28:56] Vis4D INFO: Epoch 1: 6800/9726, ETA: 0:24:34, 1.98it/s, loss: 0.9248, RPNLoss.loss_cls: 0.0203, RPNLoss.loss_bbox: 0.0381, RCNNLoss.rcnn_loss_cls: 0.1601, RCNNLoss.rcnn_loss_bbox: 0.2266, SampledMaskLoss.rcnn_loss_mask: 0.4796 [06/20 03:29:20] Vis4D INFO: Epoch 1: 6850/9726, ETA: 0:24:09, 1.98it/s, loss: 0.9500, RPNLoss.loss_cls: 0.0191, RPNLoss.loss_bbox: 0.0406, RCNNLoss.rcnn_loss_cls: 0.1759, RCNNLoss.rcnn_loss_bbox: 0.2401, SampledMaskLoss.rcnn_loss_mask: 0.4743 [06/20 03:29:44] Vis4D INFO: Epoch 1: 6900/9726, ETA: 0:23:43, 1.99it/s, loss: 0.9499, RPNLoss.loss_cls: 0.0263, RPNLoss.loss_bbox: 0.0365, RCNNLoss.rcnn_loss_cls: 0.1635, RCNNLoss.rcnn_loss_bbox: 0.2287, SampledMaskLoss.rcnn_loss_mask: 0.4949 [06/20 03:30:10] Vis4D INFO: Epoch 1: 6950/9726, ETA: 0:23:18, 1.99it/s, loss: 0.9144, RPNLoss.loss_cls: 0.0201, RPNLoss.loss_bbox: 0.0369, RCNNLoss.rcnn_loss_cls: 0.1711, RCNNLoss.rcnn_loss_bbox: 0.2192, SampledMaskLoss.rcnn_loss_mask: 0.4671 [06/20 03:30:35] Vis4D INFO: Epoch 1: 7000/9726, ETA: 0:22:53, 1.99it/s, loss: 0.9244, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0336, RCNNLoss.rcnn_loss_cls: 0.1686, RCNNLoss.rcnn_loss_bbox: 0.2265, SampledMaskLoss.rcnn_loss_mask: 0.4785 [06/20 03:31:00] Vis4D INFO: Epoch 1: 7050/9726, ETA: 0:22:28, 1.98it/s, loss: 0.9107, RPNLoss.loss_cls: 0.0228, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1623, RCNNLoss.rcnn_loss_bbox: 0.2230, SampledMaskLoss.rcnn_loss_mask: 0.4721 [06/20 03:31:26] Vis4D INFO: Epoch 1: 7100/9726, ETA: 0:22:03, 1.98it/s, loss: 0.8452, RPNLoss.loss_cls: 0.0176, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1374, RCNNLoss.rcnn_loss_bbox: 0.1925, SampledMaskLoss.rcnn_loss_mask: 0.4652 [06/20 03:31:52] Vis4D INFO: Epoch 1: 7150/9726, ETA: 0:21:38, 1.98it/s, loss: 0.9053, RPNLoss.loss_cls: 0.0320, RPNLoss.loss_bbox: 0.0376, RCNNLoss.rcnn_loss_cls: 0.1550, RCNNLoss.rcnn_loss_bbox: 0.2111, SampledMaskLoss.rcnn_loss_mask: 0.4696 [06/20 03:32:17] Vis4D INFO: Epoch 1: 7200/9726, ETA: 0:21:12, 1.98it/s, loss: 0.8385, RPNLoss.loss_cls: 0.0192, RPNLoss.loss_bbox: 0.0249, RCNNLoss.rcnn_loss_cls: 0.1534, RCNNLoss.rcnn_loss_bbox: 0.1911, SampledMaskLoss.rcnn_loss_mask: 0.4499 [06/20 03:32:41] Vis4D INFO: Epoch 1: 7250/9726, ETA: 0:20:47, 1.99it/s, loss: 0.8829, RPNLoss.loss_cls: 0.0167, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1517, RCNNLoss.rcnn_loss_bbox: 0.2112, SampledMaskLoss.rcnn_loss_mask: 0.4705 [06/20 03:33:06] Vis4D INFO: Epoch 1: 7300/9726, ETA: 0:20:22, 1.98it/s, loss: 0.9318, RPNLoss.loss_cls: 0.0179, RPNLoss.loss_bbox: 0.0374, RCNNLoss.rcnn_loss_cls: 0.1827, RCNNLoss.rcnn_loss_bbox: 0.2396, SampledMaskLoss.rcnn_loss_mask: 0.4541 [06/20 03:33:31] Vis4D INFO: Epoch 1: 7350/9726, ETA: 0:19:56, 1.99it/s, loss: 0.8866, RPNLoss.loss_cls: 0.0210, RPNLoss.loss_bbox: 0.0377, RCNNLoss.rcnn_loss_cls: 0.1615, RCNNLoss.rcnn_loss_bbox: 0.2224, SampledMaskLoss.rcnn_loss_mask: 0.4441 [06/20 03:33:57] Vis4D INFO: Epoch 1: 7400/9726, ETA: 0:19:31, 1.98it/s, loss: 0.8513, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1419, RCNNLoss.rcnn_loss_bbox: 0.2065, SampledMaskLoss.rcnn_loss_mask: 0.4565 [06/20 03:34:23] Vis4D INFO: Epoch 1: 7450/9726, ETA: 0:19:07, 1.98it/s, loss: 0.9285, RPNLoss.loss_cls: 0.0262, RPNLoss.loss_bbox: 0.0431, RCNNLoss.rcnn_loss_cls: 0.1716, RCNNLoss.rcnn_loss_bbox: 0.2258, SampledMaskLoss.rcnn_loss_mask: 0.4618 [06/20 03:34:49] Vis4D INFO: Epoch 1: 7500/9726, ETA: 0:18:42, 1.98it/s, loss: 0.8868, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1428, RCNNLoss.rcnn_loss_bbox: 0.2120, SampledMaskLoss.rcnn_loss_mask: 0.4807 [06/20 03:35:12] Vis4D INFO: Epoch 1: 7550/9726, ETA: 0:18:16, 1.99it/s, loss: 0.8394, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.1362, RCNNLoss.rcnn_loss_bbox: 0.1869, SampledMaskLoss.rcnn_loss_mask: 0.4700 [06/20 03:35:36] Vis4D INFO: Epoch 1: 7600/9726, ETA: 0:17:50, 1.99it/s, loss: 0.8492, RPNLoss.loss_cls: 0.0200, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1374, RCNNLoss.rcnn_loss_bbox: 0.1908, SampledMaskLoss.rcnn_loss_mask: 0.4703 [06/20 03:36:01] Vis4D INFO: Epoch 1: 7650/9726, ETA: 0:17:25, 1.99it/s, loss: 0.8791, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0318, RCNNLoss.rcnn_loss_cls: 0.1604, RCNNLoss.rcnn_loss_bbox: 0.2133, SampledMaskLoss.rcnn_loss_mask: 0.4567 [06/20 03:36:26] Vis4D INFO: Epoch 1: 7700/9726, ETA: 0:17:00, 1.99it/s, loss: 0.9255, RPNLoss.loss_cls: 0.0192, RPNLoss.loss_bbox: 0.0393, RCNNLoss.rcnn_loss_cls: 0.1591, RCNNLoss.rcnn_loss_bbox: 0.2232, SampledMaskLoss.rcnn_loss_mask: 0.4847 [06/20 03:36:50] Vis4D INFO: Epoch 1: 7750/9726, ETA: 0:16:34, 1.99it/s, loss: 0.9161, RPNLoss.loss_cls: 0.0197, RPNLoss.loss_bbox: 0.0398, RCNNLoss.rcnn_loss_cls: 0.1665, RCNNLoss.rcnn_loss_bbox: 0.2328, SampledMaskLoss.rcnn_loss_mask: 0.4573 [06/20 03:37:15] Vis4D INFO: Epoch 1: 7800/9726, ETA: 0:16:09, 1.99it/s, loss: 0.8386, RPNLoss.loss_cls: 0.0211, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1441, RCNNLoss.rcnn_loss_bbox: 0.1965, SampledMaskLoss.rcnn_loss_mask: 0.4469 [06/20 03:37:40] Vis4D INFO: Epoch 1: 7850/9726, ETA: 0:15:44, 1.99it/s, loss: 0.9194, RPNLoss.loss_cls: 0.0251, RPNLoss.loss_bbox: 0.0370, RCNNLoss.rcnn_loss_cls: 0.1697, RCNNLoss.rcnn_loss_bbox: 0.2332, SampledMaskLoss.rcnn_loss_mask: 0.4544 [06/20 03:38:03] Vis4D INFO: Epoch 1: 7900/9726, ETA: 0:15:18, 1.99it/s, loss: 0.8651, RPNLoss.loss_cls: 0.0164, RPNLoss.loss_bbox: 0.0371, RCNNLoss.rcnn_loss_cls: 0.1421, RCNNLoss.rcnn_loss_bbox: 0.2027, SampledMaskLoss.rcnn_loss_mask: 0.4668 [06/20 03:38:27] Vis4D INFO: Epoch 1: 7950/9726, ETA: 0:14:53, 1.99it/s, loss: 0.8833, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0305, RCNNLoss.rcnn_loss_cls: 0.1606, RCNNLoss.rcnn_loss_bbox: 0.2193, SampledMaskLoss.rcnn_loss_mask: 0.4597 [06/20 03:38:51] Vis4D INFO: Epoch 1: 8000/9726, ETA: 0:14:27, 1.99it/s, loss: 0.9347, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0322, RCNNLoss.rcnn_loss_cls: 0.1714, RCNNLoss.rcnn_loss_bbox: 0.2312, SampledMaskLoss.rcnn_loss_mask: 0.4854 [06/20 03:39:17] Vis4D INFO: Epoch 1: 8050/9726, ETA: 0:14:02, 1.99it/s, loss: 0.8997, RPNLoss.loss_cls: 0.0193, RPNLoss.loss_bbox: 0.0389, RCNNLoss.rcnn_loss_cls: 0.1457, RCNNLoss.rcnn_loss_bbox: 0.2161, SampledMaskLoss.rcnn_loss_mask: 0.4796 [06/20 03:39:42] Vis4D INFO: Epoch 1: 8100/9726, ETA: 0:13:37, 1.99it/s, loss: 0.8855, RPNLoss.loss_cls: 0.0196, RPNLoss.loss_bbox: 0.0376, RCNNLoss.rcnn_loss_cls: 0.1630, RCNNLoss.rcnn_loss_bbox: 0.2237, SampledMaskLoss.rcnn_loss_mask: 0.4415 [06/20 03:40:08] Vis4D INFO: Epoch 1: 8150/9726, ETA: 0:13:12, 1.99it/s, loss: 0.8176, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1393, RCNNLoss.rcnn_loss_bbox: 0.1982, SampledMaskLoss.rcnn_loss_mask: 0.4335 [06/20 03:40:32] Vis4D INFO: Epoch 1: 8200/9726, ETA: 0:12:47, 1.99it/s, loss: 0.9026, RPNLoss.loss_cls: 0.0236, RPNLoss.loss_bbox: 0.0357, RCNNLoss.rcnn_loss_cls: 0.1607, RCNNLoss.rcnn_loss_bbox: 0.2196, SampledMaskLoss.rcnn_loss_mask: 0.4630 [06/20 03:40:57] Vis4D INFO: Epoch 1: 8250/9726, ETA: 0:12:22, 1.99it/s, loss: 0.8553, RPNLoss.loss_cls: 0.0222, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1418, RCNNLoss.rcnn_loss_bbox: 0.2040, SampledMaskLoss.rcnn_loss_mask: 0.4557 [06/20 03:41:22] Vis4D INFO: Epoch 1: 8300/9726, ETA: 0:11:57, 1.99it/s, loss: 0.8802, RPNLoss.loss_cls: 0.0269, RPNLoss.loss_bbox: 0.0368, RCNNLoss.rcnn_loss_cls: 0.1528, RCNNLoss.rcnn_loss_bbox: 0.2100, SampledMaskLoss.rcnn_loss_mask: 0.4537 [06/20 03:41:47] Vis4D INFO: Epoch 1: 8350/9726, ETA: 0:11:31, 1.99it/s, loss: 0.8446, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1381, RCNNLoss.rcnn_loss_bbox: 0.2005, SampledMaskLoss.rcnn_loss_mask: 0.4633 [06/20 03:42:12] Vis4D INFO: Epoch 1: 8400/9726, ETA: 0:11:06, 1.99it/s, loss: 0.8406, RPNLoss.loss_cls: 0.0268, RPNLoss.loss_bbox: 0.0318, RCNNLoss.rcnn_loss_cls: 0.1422, RCNNLoss.rcnn_loss_bbox: 0.1861, SampledMaskLoss.rcnn_loss_mask: 0.4538 [06/20 03:42:36] Vis4D INFO: Epoch 1: 8450/9726, ETA: 0:10:41, 1.99it/s, loss: 0.8771, RPNLoss.loss_cls: 0.0229, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1448, RCNNLoss.rcnn_loss_bbox: 0.2061, SampledMaskLoss.rcnn_loss_mask: 0.4706 [06/20 03:43:01] Vis4D INFO: Epoch 1: 8500/9726, ETA: 0:10:16, 1.99it/s, loss: 0.8446, RPNLoss.loss_cls: 0.0197, RPNLoss.loss_bbox: 0.0331, RCNNLoss.rcnn_loss_cls: 0.1376, RCNNLoss.rcnn_loss_bbox: 0.2016, SampledMaskLoss.rcnn_loss_mask: 0.4526 [06/20 03:43:26] Vis4D INFO: Epoch 1: 8550/9726, ETA: 0:09:51, 1.99it/s, loss: 0.8506, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0337, RCNNLoss.rcnn_loss_cls: 0.1445, RCNNLoss.rcnn_loss_bbox: 0.2051, SampledMaskLoss.rcnn_loss_mask: 0.4515 [06/20 03:43:52] Vis4D INFO: Epoch 1: 8600/9726, ETA: 0:09:26, 1.99it/s, loss: 0.9126, RPNLoss.loss_cls: 0.0269, RPNLoss.loss_bbox: 0.0378, RCNNLoss.rcnn_loss_cls: 0.1631, RCNNLoss.rcnn_loss_bbox: 0.2183, SampledMaskLoss.rcnn_loss_mask: 0.4665 [06/20 03:44:17] Vis4D INFO: Epoch 1: 8650/9726, ETA: 0:09:00, 1.99it/s, loss: 0.9481, RPNLoss.loss_cls: 0.0233, RPNLoss.loss_bbox: 0.0422, RCNNLoss.rcnn_loss_cls: 0.1763, RCNNLoss.rcnn_loss_bbox: 0.2501, SampledMaskLoss.rcnn_loss_mask: 0.4562 [06/20 03:44:43] Vis4D INFO: Epoch 1: 8700/9726, ETA: 0:08:35, 1.99it/s, loss: 0.8465, RPNLoss.loss_cls: 0.0166, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1409, RCNNLoss.rcnn_loss_bbox: 0.1943, SampledMaskLoss.rcnn_loss_mask: 0.4663 [06/20 03:45:08] Vis4D INFO: Epoch 1: 8750/9726, ETA: 0:08:10, 1.99it/s, loss: 0.8851, RPNLoss.loss_cls: 0.0217, RPNLoss.loss_bbox: 0.0362, RCNNLoss.rcnn_loss_cls: 0.1508, RCNNLoss.rcnn_loss_bbox: 0.2211, SampledMaskLoss.rcnn_loss_mask: 0.4552 [06/20 03:45:32] Vis4D INFO: Epoch 1: 8800/9726, ETA: 0:07:45, 1.99it/s, loss: 0.8618, RPNLoss.loss_cls: 0.0178, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1524, RCNNLoss.rcnn_loss_bbox: 0.2005, SampledMaskLoss.rcnn_loss_mask: 0.4615 [06/20 03:45:56] Vis4D INFO: Epoch 1: 8850/9726, ETA: 0:07:20, 1.99it/s, loss: 0.8359, RPNLoss.loss_cls: 0.0206, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1451, RCNNLoss.rcnn_loss_bbox: 0.2082, SampledMaskLoss.rcnn_loss_mask: 0.4318 [06/20 03:46:21] Vis4D INFO: Epoch 1: 8900/9726, ETA: 0:06:55, 1.99it/s, loss: 0.8868, RPNLoss.loss_cls: 0.0203, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1627, RCNNLoss.rcnn_loss_bbox: 0.2314, SampledMaskLoss.rcnn_loss_mask: 0.4381 [06/20 03:46:45] Vis4D INFO: Epoch 1: 8950/9726, ETA: 0:06:29, 1.99it/s, loss: 0.8860, RPNLoss.loss_cls: 0.0239, RPNLoss.loss_bbox: 0.0341, RCNNLoss.rcnn_loss_cls: 0.1433, RCNNLoss.rcnn_loss_bbox: 0.2007, SampledMaskLoss.rcnn_loss_mask: 0.4840 [06/20 03:47:09] Vis4D INFO: Epoch 1: 9000/9726, ETA: 0:06:04, 1.99it/s, loss: 0.8464, RPNLoss.loss_cls: 0.0180, RPNLoss.loss_bbox: 0.0305, RCNNLoss.rcnn_loss_cls: 0.1377, RCNNLoss.rcnn_loss_bbox: 0.1971, SampledMaskLoss.rcnn_loss_mask: 0.4630 [06/20 03:47:35] Vis4D INFO: Epoch 1: 9050/9726, ETA: 0:05:39, 1.99it/s, loss: 0.9518, RPNLoss.loss_cls: 0.0281, RPNLoss.loss_bbox: 0.0417, RCNNLoss.rcnn_loss_cls: 0.1770, RCNNLoss.rcnn_loss_bbox: 0.2358, SampledMaskLoss.rcnn_loss_mask: 0.4692 [06/20 03:48:01] Vis4D INFO: Epoch 1: 9100/9726, ETA: 0:05:14, 1.99it/s, loss: 0.8387, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0312, RCNNLoss.rcnn_loss_cls: 0.1460, RCNNLoss.rcnn_loss_bbox: 0.2073, SampledMaskLoss.rcnn_loss_mask: 0.4396 [06/20 03:48:26] Vis4D INFO: Epoch 1: 9150/9726, ETA: 0:04:49, 1.99it/s, loss: 0.8432, RPNLoss.loss_cls: 0.0217, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1366, RCNNLoss.rcnn_loss_bbox: 0.1918, SampledMaskLoss.rcnn_loss_mask: 0.4631 [06/20 03:48:52] Vis4D INFO: Epoch 1: 9200/9726, ETA: 0:04:24, 1.99it/s, loss: 0.8433, RPNLoss.loss_cls: 0.0175, RPNLoss.loss_bbox: 0.0318, RCNNLoss.rcnn_loss_cls: 0.1446, RCNNLoss.rcnn_loss_bbox: 0.2012, SampledMaskLoss.rcnn_loss_mask: 0.4481 [06/20 03:49:17] Vis4D INFO: Epoch 1: 9250/9726, ETA: 0:03:59, 1.99it/s, loss: 0.8472, RPNLoss.loss_cls: 0.0196, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1355, RCNNLoss.rcnn_loss_bbox: 0.1976, SampledMaskLoss.rcnn_loss_mask: 0.4602 [06/20 03:49:42] Vis4D INFO: Epoch 1: 9300/9726, ETA: 0:03:34, 1.99it/s, loss: 0.8383, RPNLoss.loss_cls: 0.0231, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1344, RCNNLoss.rcnn_loss_bbox: 0.1814, SampledMaskLoss.rcnn_loss_mask: 0.4682 [06/20 03:50:06] Vis4D INFO: Epoch 1: 9350/9726, ETA: 0:03:08, 1.99it/s, loss: 0.8765, RPNLoss.loss_cls: 0.0349, RPNLoss.loss_bbox: 0.0336, RCNNLoss.rcnn_loss_cls: 0.1385, RCNNLoss.rcnn_loss_bbox: 0.1912, SampledMaskLoss.rcnn_loss_mask: 0.4782 [06/20 03:50:29] Vis4D INFO: Epoch 1: 9400/9726, ETA: 0:02:43, 1.99it/s, loss: 0.8253, RPNLoss.loss_cls: 0.0206, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1448, RCNNLoss.rcnn_loss_bbox: 0.1936, SampledMaskLoss.rcnn_loss_mask: 0.4367 [06/20 03:50:56] Vis4D INFO: Epoch 1: 9450/9726, ETA: 0:02:18, 1.99it/s, loss: 0.8695, RPNLoss.loss_cls: 0.0224, RPNLoss.loss_bbox: 0.0379, RCNNLoss.rcnn_loss_cls: 0.1537, RCNNLoss.rcnn_loss_bbox: 0.2183, SampledMaskLoss.rcnn_loss_mask: 0.4371 [06/20 03:51:21] Vis4D INFO: Epoch 1: 9500/9726, ETA: 0:01:53, 1.99it/s, loss: 0.8875, RPNLoss.loss_cls: 0.0196, RPNLoss.loss_bbox: 0.0364, RCNNLoss.rcnn_loss_cls: 0.1544, RCNNLoss.rcnn_loss_bbox: 0.2304, SampledMaskLoss.rcnn_loss_mask: 0.4468 [06/20 03:51:46] Vis4D INFO: Epoch 1: 9550/9726, ETA: 0:01:28, 1.99it/s, loss: 0.8860, RPNLoss.loss_cls: 0.0232, RPNLoss.loss_bbox: 0.0393, RCNNLoss.rcnn_loss_cls: 0.1510, RCNNLoss.rcnn_loss_bbox: 0.2156, SampledMaskLoss.rcnn_loss_mask: 0.4569 [06/20 03:52:10] Vis4D INFO: Epoch 1: 9600/9726, ETA: 0:01:03, 1.99it/s, loss: 0.8876, RPNLoss.loss_cls: 0.0183, RPNLoss.loss_bbox: 0.0363, RCNNLoss.rcnn_loss_cls: 0.1578, RCNNLoss.rcnn_loss_bbox: 0.2168, SampledMaskLoss.rcnn_loss_mask: 0.4584 [06/20 03:52:35] Vis4D INFO: Epoch 1: 9650/9726, ETA: 0:00:38, 1.99it/s, loss: 0.8968, RPNLoss.loss_cls: 0.0302, RPNLoss.loss_bbox: 0.0410, RCNNLoss.rcnn_loss_cls: 0.1603, RCNNLoss.rcnn_loss_bbox: 0.2220, SampledMaskLoss.rcnn_loss_mask: 0.4433 [06/20 03:52:59] Vis4D INFO: Epoch 1: 9700/9726, ETA: 0:00:13, 1.99it/s, loss: 0.8159, RPNLoss.loss_cls: 0.0159, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.1504, RCNNLoss.rcnn_loss_bbox: 0.2070, SampledMaskLoss.rcnn_loss_mask: 0.4171 [06/20 03:53:38] Vis4D INFO: Testing: 50/1400, ETA: 0:11:31, 1.95it/s [06/20 03:54:01] Vis4D INFO: Testing: 100/1400, ETA: 0:10:31, 2.06it/s [06/20 03:54:16] Vis4D INFO: Testing: 150/1400, ETA: 0:08:52, 2.35it/s [06/20 03:54:36] Vis4D INFO: Testing: 200/1400, ETA: 0:08:22, 2.39it/s [06/20 03:55:00] Vis4D INFO: Testing: 250/1400, ETA: 0:08:16, 2.32it/s [06/20 03:55:12] Vis4D INFO: Testing: 300/1400, ETA: 0:07:20, 2.50it/s [06/20 03:55:25] Vis4D INFO: Testing: 350/1400, ETA: 0:06:38, 2.63it/s [06/20 03:55:50] Vis4D INFO: Testing: 400/1400, ETA: 0:06:34, 2.54it/s [06/20 03:56:16] Vis4D INFO: Testing: 450/1400, ETA: 0:06:27, 2.45it/s [06/20 03:56:35] Vis4D INFO: Testing: 500/1400, ETA: 0:06:05, 2.46it/s [06/20 03:56:56] Vis4D INFO: Testing: 550/1400, ETA: 0:05:45, 2.46it/s [06/20 03:57:27] Vis4D INFO: Testing: 600/1400, ETA: 0:05:39, 2.35it/s [06/20 03:57:50] Vis4D INFO: Testing: 650/1400, ETA: 0:05:20, 2.34it/s [06/20 03:58:04] Vis4D INFO: Testing: 700/1400, ETA: 0:04:52, 2.40it/s [06/20 03:58:26] Vis4D INFO: Testing: 750/1400, ETA: 0:04:31, 2.39it/s [06/20 03:58:37] Vis4D INFO: Testing: 800/1400, ETA: 0:04:03, 2.46it/s [06/20 03:58:56] Vis4D INFO: Testing: 850/1400, ETA: 0:03:42, 2.47it/s [06/20 03:59:13] Vis4D INFO: Testing: 900/1400, ETA: 0:03:20, 2.49it/s [06/20 03:59:40] Vis4D INFO: Testing: 950/1400, ETA: 0:03:03, 2.45it/s [06/20 03:59:55] Vis4D INFO: Testing: 1000/1400, ETA: 0:02:40, 2.49it/s [06/20 04:00:13] Vis4D INFO: Testing: 1050/1400, ETA: 0:02:20, 2.50it/s [06/20 04:00:31] Vis4D INFO: Testing: 1100/1400, ETA: 0:01:59, 2.51it/s [06/20 04:00:56] Vis4D INFO: Testing: 1150/1400, ETA: 0:01:40, 2.48it/s [06/20 04:01:20] Vis4D INFO: Testing: 1200/1400, ETA: 0:01:21, 2.46it/s [06/20 04:01:36] Vis4D INFO: Testing: 1250/1400, ETA: 0:01:00, 2.48it/s [06/20 04:01:48] Vis4D INFO: Testing: 1300/1400, ETA: 0:00:39, 2.52it/s [06/20 04:02:11] Vis4D INFO: Testing: 1350/1400, ETA: 0:00:19, 2.50it/s [06/20 04:02:33] Vis4D INFO: Testing: 1400/1400, ETA: 0:00:00, 2.50it/s [06/20 04:02:33] Vis4D INFO: Running evaluator Scalabel Tracking Evaluator... [06/20 04:02:58] Vis4D INFO: Det/AP: 32.2721 [06/20 04:02:58] Vis4D INFO: Det/AP50: 53.3691 [06/20 04:02:58] Vis4D INFO: Det/AP75: 34.6355 [06/20 04:02:58] Vis4D INFO: Det/APs: 17.7268 [06/20 04:02:58] Vis4D INFO: Det/APm: 56.8176 [06/20 04:02:58] Vis4D INFO: Det/APl: 66.8903 [06/20 04:02:58] Vis4D INFO: Det/AR1: 25.5856 [06/20 04:02:58] Vis4D INFO: Det/AR10: 39.3425 [06/20 04:02:58] Vis4D INFO: Det/AR100: 40.3050 [06/20 04:02:58] Vis4D INFO: Det/ARs: 25.4309 [06/20 04:02:58] Vis4D INFO: Det/ARm: 66.6628 [06/20 04:02:58] Vis4D INFO: Det/ARl: 74.3590 [06/20 04:02:58] Vis4D INFO: Det/AP/pedestrian: 31.6343 [06/20 04:02:58] Vis4D INFO: Det/AP/car: 40.9639 [06/20 04:02:58] Vis4D INFO: Det/AP/truck: 31.8419 [06/20 04:02:58] Vis4D INFO: Det/AP/bus: 30.6440 [06/20 04:02:58] Vis4D INFO: Det/AP/motorcycle: 33.3093 [06/20 04:02:58] Vis4D INFO: Det/AP/bicycle: 25.2391 [06/20 04:02:58] Vis4D INFO: Showing evaluation results for Det [06/20 04:02:58] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl --------------------------------------------------------------------------- pedestrian 31.6 59.2 32.1 23.2 62.9 68.6 10.1 33.8 37.4 29.3 69.4 74.5 car 41.0 59.8 46.1 23.3 59.5 79.1 18.5 46.1 47.9 30.1 69.5 83.8 truck 31.8 54.5 33.9 13.2 51.8 64.4 27.2 41.9 42.1 23.7 62.4 75.0 bus 30.6 47.4 32.3 20.8 60.9 77.4 34.8 42.2 42.4 32.4 73.4 85.6 motorcycle 33.3 53.1 37.7 16.6 59.1 62.6 33.9 39.8 39.8 21.2 68.6 71.0 bicycle 25.2 46.1 25.8 9.3 46.8 49.3 29.0 32.2 32.2 15.9 56.7 56.1 --------------------------------------------------------------------------- OVERALL 32.3 53.4 34.6 17.7 56.8 66.9 25.6 39.3 40.3 25.4 66.7 74.4 [06/20 04:03:25] Vis4D INFO: InsSeg/AP: 0.2228 [06/20 04:03:25] Vis4D INFO: InsSeg/AP50: 0.3713 [06/20 04:03:25] Vis4D INFO: InsSeg/AP75: 0.2063 [06/20 04:03:25] Vis4D INFO: InsSeg/APs: 0.1815 [06/20 04:03:25] Vis4D INFO: InsSeg/APm: 0.2145 [06/20 04:03:25] Vis4D INFO: InsSeg/APl: 0.1485 [06/20 04:03:25] Vis4D INFO: InsSeg/AR1: 0.0720 [06/20 04:03:25] Vis4D INFO: InsSeg/AR10: 0.0815 [06/20 04:03:25] Vis4D INFO: InsSeg/AR100: 0.0815 [06/20 04:03:25] Vis4D INFO: InsSeg/ARs: 0.0825 [06/20 04:03:25] Vis4D INFO: InsSeg/ARm: 0.1285 [06/20 04:03:25] Vis4D INFO: InsSeg/ARl: 0.0237 [06/20 04:03:25] Vis4D INFO: InsSeg/AP/pedestrian: 0.0000 [06/20 04:03:25] Vis4D INFO: InsSeg/AP/car: 0.9901 [06/20 04:03:25] Vis4D INFO: InsSeg/AP/truck: 0.0000 [06/20 04:03:25] Vis4D INFO: InsSeg/AP/bus: 0.0000 [06/20 04:03:25] Vis4D INFO: InsSeg/AP/motorcycle: 0.1980 [06/20 04:03:25] Vis4D INFO: InsSeg/AP/bicycle: 0.1485 [06/20 04:03:25] Vis4D INFO: Showing evaluation results for InsSeg [06/20 04:03:25] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl -------------------------------------------------------------------------- pedestrian 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 car 1.0 1.0 1.0 0.9 1.0 0.9 0.3 0.4 0.4 0.4 0.3 0.1 truck 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 bus 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 motorcycle 0.2 1.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.1 0.0 0.0 bicycle 0.1 0.2 0.2 0.0 0.3 0.0 0.1 0.1 0.1 0.0 0.4 0.0 -------------------------------------------------------------------------- OVERALL 0.2 0.4 0.2 0.2 0.2 0.1 0.1 0.1 0.1 0.1 0.1 0.0 [06/20 04:03:52] Vis4D INFO: Epoch 2: 50/9726, ETA: 1:22:17, 1.96it/s, loss: 0.8766, RPNLoss.loss_cls: 0.0188, RPNLoss.loss_bbox: 0.0334, RCNNLoss.rcnn_loss_cls: 0.1560, RCNNLoss.rcnn_loss_bbox: 0.2097, SampledMaskLoss.rcnn_loss_mask: 0.4587 [06/20 04:04:15] Vis4D INFO: Epoch 2: 100/9726, ETA: 1:19:04, 2.03it/s, loss: 0.8725, RPNLoss.loss_cls: 0.0180, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1478, RCNNLoss.rcnn_loss_bbox: 0.2086, SampledMaskLoss.rcnn_loss_mask: 0.4669 [06/20 04:04:41] Vis4D INFO: Epoch 2: 150/9726, ETA: 1:19:17, 2.01it/s, loss: 0.8294, RPNLoss.loss_cls: 0.0233, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1385, RCNNLoss.rcnn_loss_bbox: 0.1888, SampledMaskLoss.rcnn_loss_mask: 0.4467 [06/20 04:05:05] Vis4D INFO: Epoch 2: 200/9726, ETA: 1:18:43, 2.02it/s, loss: 0.8660, RPNLoss.loss_cls: 0.0174, RPNLoss.loss_bbox: 0.0362, RCNNLoss.rcnn_loss_cls: 0.1483, RCNNLoss.rcnn_loss_bbox: 0.2065, SampledMaskLoss.rcnn_loss_mask: 0.4575 [06/20 04:05:31] Vis4D INFO: Epoch 2: 250/9726, ETA: 1:18:51, 2.00it/s, loss: 0.8556, RPNLoss.loss_cls: 0.0186, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1507, RCNNLoss.rcnn_loss_bbox: 0.2107, SampledMaskLoss.rcnn_loss_mask: 0.4430 [06/20 04:05:58] Vis4D INFO: Epoch 2: 300/9726, ETA: 1:19:42, 1.97it/s, loss: 0.8196, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1369, RCNNLoss.rcnn_loss_bbox: 0.2028, SampledMaskLoss.rcnn_loss_mask: 0.4384 [06/20 04:06:23] Vis4D INFO: Epoch 2: 350/9726, ETA: 1:18:49, 1.98it/s, loss: 0.8858, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1557, RCNNLoss.rcnn_loss_bbox: 0.2258, SampledMaskLoss.rcnn_loss_mask: 0.4566 [06/20 04:06:48] Vis4D INFO: Epoch 2: 400/9726, ETA: 1:18:17, 1.99it/s, loss: 0.8192, RPNLoss.loss_cls: 0.0196, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1299, RCNNLoss.rcnn_loss_bbox: 0.1831, SampledMaskLoss.rcnn_loss_mask: 0.4566 [06/20 04:07:13] Vis4D INFO: Epoch 2: 450/9726, ETA: 1:18:02, 1.98it/s, loss: 0.8497, RPNLoss.loss_cls: 0.0186, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1429, RCNNLoss.rcnn_loss_bbox: 0.1886, SampledMaskLoss.rcnn_loss_mask: 0.4687 [06/20 04:07:39] Vis4D INFO: Epoch 2: 500/9726, ETA: 1:17:45, 1.98it/s, loss: 0.8468, RPNLoss.loss_cls: 0.0190, RPNLoss.loss_bbox: 0.0346, RCNNLoss.rcnn_loss_cls: 0.1425, RCNNLoss.rcnn_loss_bbox: 0.1992, SampledMaskLoss.rcnn_loss_mask: 0.4516 [06/20 04:08:05] Vis4D INFO: Epoch 2: 550/9726, ETA: 1:17:27, 1.97it/s, loss: 0.8731, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0370, RCNNLoss.rcnn_loss_cls: 0.1521, RCNNLoss.rcnn_loss_bbox: 0.2202, SampledMaskLoss.rcnn_loss_mask: 0.4465 [06/20 04:08:31] Vis4D INFO: Epoch 2: 600/9726, ETA: 1:17:16, 1.97it/s, loss: 0.8737, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0357, RCNNLoss.rcnn_loss_cls: 0.1549, RCNNLoss.rcnn_loss_bbox: 0.2162, SampledMaskLoss.rcnn_loss_mask: 0.4480 [06/20 04:08:56] Vis4D INFO: Epoch 2: 650/9726, ETA: 1:16:50, 1.97it/s, loss: 0.8781, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0346, RCNNLoss.rcnn_loss_cls: 0.1421, RCNNLoss.rcnn_loss_bbox: 0.2148, SampledMaskLoss.rcnn_loss_mask: 0.4711 [06/20 04:09:21] Vis4D INFO: Epoch 2: 700/9726, ETA: 1:16:17, 1.97it/s, loss: 0.8524, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0345, RCNNLoss.rcnn_loss_cls: 0.1412, RCNNLoss.rcnn_loss_bbox: 0.2111, SampledMaskLoss.rcnn_loss_mask: 0.4513 [06/20 04:09:46] Vis4D INFO: Epoch 2: 750/9726, ETA: 1:15:51, 1.97it/s, loss: 0.9128, RPNLoss.loss_cls: 0.0205, RPNLoss.loss_bbox: 0.0398, RCNNLoss.rcnn_loss_cls: 0.1715, RCNNLoss.rcnn_loss_bbox: 0.2369, SampledMaskLoss.rcnn_loss_mask: 0.4441 [06/20 04:10:11] Vis4D INFO: Epoch 2: 800/9726, ETA: 1:15:21, 1.97it/s, loss: 0.7811, RPNLoss.loss_cls: 0.0212, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1422, RCNNLoss.rcnn_loss_bbox: 0.2000, SampledMaskLoss.rcnn_loss_mask: 0.3857 [06/20 04:10:37] Vis4D INFO: Epoch 2: 850/9726, ETA: 1:14:57, 1.97it/s, loss: 0.8269, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1386, RCNNLoss.rcnn_loss_bbox: 0.1922, SampledMaskLoss.rcnn_loss_mask: 0.4488 [06/20 04:11:02] Vis4D INFO: Epoch 2: 900/9726, ETA: 1:14:35, 1.97it/s, loss: 0.8237, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0306, RCNNLoss.rcnn_loss_cls: 0.1388, RCNNLoss.rcnn_loss_bbox: 0.2008, SampledMaskLoss.rcnn_loss_mask: 0.4411 [06/20 04:11:27] Vis4D INFO: Epoch 2: 950/9726, ETA: 1:14:01, 1.98it/s, loss: 0.7956, RPNLoss.loss_cls: 0.0175, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1358, RCNNLoss.rcnn_loss_bbox: 0.1946, SampledMaskLoss.rcnn_loss_mask: 0.4187 [06/20 04:11:53] Vis4D INFO: Epoch 2: 1000/9726, ETA: 1:13:46, 1.97it/s, loss: 0.8817, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1350, RCNNLoss.rcnn_loss_bbox: 0.1999, SampledMaskLoss.rcnn_loss_mask: 0.4968 [06/20 04:12:18] Vis4D INFO: Epoch 2: 1050/9726, ETA: 1:13:12, 1.98it/s, loss: 0.7986, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0268, RCNNLoss.rcnn_loss_cls: 0.1225, RCNNLoss.rcnn_loss_bbox: 0.1928, SampledMaskLoss.rcnn_loss_mask: 0.4449 [06/20 04:12:43] Vis4D INFO: Epoch 2: 1100/9726, ETA: 1:12:43, 1.98it/s, loss: 0.8819, RPNLoss.loss_cls: 0.0198, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1506, RCNNLoss.rcnn_loss_bbox: 0.2146, SampledMaskLoss.rcnn_loss_mask: 0.4629 [06/20 04:13:06] Vis4D INFO: Epoch 2: 1150/9726, ETA: 1:12:06, 1.98it/s, loss: 0.8255, RPNLoss.loss_cls: 0.0190, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1307, RCNNLoss.rcnn_loss_bbox: 0.1845, SampledMaskLoss.rcnn_loss_mask: 0.4615 [06/20 04:13:32] Vis4D INFO: Epoch 2: 1200/9726, ETA: 1:11:43, 1.98it/s, loss: 0.7750, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0315, RCNNLoss.rcnn_loss_cls: 0.1343, RCNNLoss.rcnn_loss_bbox: 0.1947, SampledMaskLoss.rcnn_loss_mask: 0.3996 [06/20 04:13:56] Vis4D INFO: Epoch 2: 1250/9726, ETA: 1:11:08, 1.99it/s, loss: 0.8581, RPNLoss.loss_cls: 0.0174, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1435, RCNNLoss.rcnn_loss_bbox: 0.2049, SampledMaskLoss.rcnn_loss_mask: 0.4583 [06/20 04:14:21] Vis4D INFO: Epoch 2: 1300/9726, ETA: 1:10:43, 1.99it/s, loss: 0.8547, RPNLoss.loss_cls: 0.0202, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1491, RCNNLoss.rcnn_loss_bbox: 0.2080, SampledMaskLoss.rcnn_loss_mask: 0.4455 [06/20 04:14:46] Vis4D INFO: Epoch 2: 1350/9726, ETA: 1:10:17, 1.99it/s, loss: 0.8183, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1330, RCNNLoss.rcnn_loss_bbox: 0.1968, SampledMaskLoss.rcnn_loss_mask: 0.4410 [06/20 04:15:11] Vis4D INFO: Epoch 2: 1400/9726, ETA: 1:09:50, 1.99it/s, loss: 0.8484, RPNLoss.loss_cls: 0.0183, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1397, RCNNLoss.rcnn_loss_bbox: 0.1960, SampledMaskLoss.rcnn_loss_mask: 0.4655 [06/20 04:15:37] Vis4D INFO: Epoch 2: 1450/9726, ETA: 1:09:30, 1.98it/s, loss: 0.8079, RPNLoss.loss_cls: 0.0182, RPNLoss.loss_bbox: 0.0325, RCNNLoss.rcnn_loss_cls: 0.1412, RCNNLoss.rcnn_loss_bbox: 0.1859, SampledMaskLoss.rcnn_loss_mask: 0.4301 [06/20 04:16:02] Vis4D INFO: Epoch 2: 1500/9726, ETA: 1:09:07, 1.98it/s, loss: 0.8548, RPNLoss.loss_cls: 0.0256, RPNLoss.loss_bbox: 0.0408, RCNNLoss.rcnn_loss_cls: 0.1500, RCNNLoss.rcnn_loss_bbox: 0.2240, SampledMaskLoss.rcnn_loss_mask: 0.4143 [06/20 04:16:29] Vis4D INFO: Epoch 2: 1550/9726, ETA: 1:08:50, 1.98it/s, loss: 0.8784, RPNLoss.loss_cls: 0.0215, RPNLoss.loss_bbox: 0.0359, RCNNLoss.rcnn_loss_cls: 0.1509, RCNNLoss.rcnn_loss_bbox: 0.2132, SampledMaskLoss.rcnn_loss_mask: 0.4570 [06/20 04:16:54] Vis4D INFO: Epoch 2: 1600/9726, ETA: 1:08:21, 1.98it/s, loss: 0.7794, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1300, RCNNLoss.rcnn_loss_bbox: 0.1684, SampledMaskLoss.rcnn_loss_mask: 0.4380 [06/20 04:17:20] Vis4D INFO: Epoch 2: 1650/9726, ETA: 1:08:02, 1.98it/s, loss: 0.8856, RPNLoss.loss_cls: 0.0171, RPNLoss.loss_bbox: 0.0335, RCNNLoss.rcnn_loss_cls: 0.1439, RCNNLoss.rcnn_loss_bbox: 0.2110, SampledMaskLoss.rcnn_loss_mask: 0.4801 [06/20 04:17:46] Vis4D INFO: Epoch 2: 1700/9726, ETA: 1:07:37, 1.98it/s, loss: 0.8670, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0364, RCNNLoss.rcnn_loss_cls: 0.1660, RCNNLoss.rcnn_loss_bbox: 0.2385, SampledMaskLoss.rcnn_loss_mask: 0.4119 [06/20 04:18:11] Vis4D INFO: Epoch 2: 1750/9726, ETA: 1:07:12, 1.98it/s, loss: 0.8408, RPNLoss.loss_cls: 0.0226, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1302, RCNNLoss.rcnn_loss_bbox: 0.1946, SampledMaskLoss.rcnn_loss_mask: 0.4602 [06/20 04:18:35] Vis4D INFO: Epoch 2: 1800/9726, ETA: 1:06:43, 1.98it/s, loss: 0.8105, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0318, RCNNLoss.rcnn_loss_cls: 0.1267, RCNNLoss.rcnn_loss_bbox: 0.1908, SampledMaskLoss.rcnn_loss_mask: 0.4490 [06/20 04:19:01] Vis4D INFO: Epoch 2: 1850/9726, ETA: 1:06:19, 1.98it/s, loss: 0.8795, RPNLoss.loss_cls: 0.0166, RPNLoss.loss_bbox: 0.0365, RCNNLoss.rcnn_loss_cls: 0.1543, RCNNLoss.rcnn_loss_bbox: 0.2220, SampledMaskLoss.rcnn_loss_mask: 0.4501 [06/20 04:19:27] Vis4D INFO: Epoch 2: 1900/9726, ETA: 1:05:55, 1.98it/s, loss: 0.8107, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0256, RCNNLoss.rcnn_loss_cls: 0.1181, RCNNLoss.rcnn_loss_bbox: 0.1828, SampledMaskLoss.rcnn_loss_mask: 0.4716 [06/20 04:19:52] Vis4D INFO: Epoch 2: 1950/9726, ETA: 1:05:33, 1.98it/s, loss: 0.8589, RPNLoss.loss_cls: 0.0199, RPNLoss.loss_bbox: 0.0345, RCNNLoss.rcnn_loss_cls: 0.1520, RCNNLoss.rcnn_loss_bbox: 0.2028, SampledMaskLoss.rcnn_loss_mask: 0.4498 [06/20 04:20:18] Vis4D INFO: Epoch 2: 2000/9726, ETA: 1:05:07, 1.98it/s, loss: 0.8546, RPNLoss.loss_cls: 0.0163, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1438, RCNNLoss.rcnn_loss_bbox: 0.2035, SampledMaskLoss.rcnn_loss_mask: 0.4569 [06/20 04:20:42] Vis4D INFO: Epoch 2: 2050/9726, ETA: 1:04:40, 1.98it/s, loss: 0.8197, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1313, RCNNLoss.rcnn_loss_bbox: 0.1946, SampledMaskLoss.rcnn_loss_mask: 0.4513 [06/20 04:21:08] Vis4D INFO: Epoch 2: 2100/9726, ETA: 1:04:15, 1.98it/s, loss: 0.8475, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1397, RCNNLoss.rcnn_loss_bbox: 0.1986, SampledMaskLoss.rcnn_loss_mask: 0.4590 [06/20 04:21:33] Vis4D INFO: Epoch 2: 2150/9726, ETA: 1:03:50, 1.98it/s, loss: 0.8204, RPNLoss.loss_cls: 0.0230, RPNLoss.loss_bbox: 0.0349, RCNNLoss.rcnn_loss_cls: 0.1427, RCNNLoss.rcnn_loss_bbox: 0.1927, SampledMaskLoss.rcnn_loss_mask: 0.4272 [06/20 04:21:58] Vis4D INFO: Epoch 2: 2200/9726, ETA: 1:03:24, 1.98it/s, loss: 0.8165, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1336, RCNNLoss.rcnn_loss_bbox: 0.1821, SampledMaskLoss.rcnn_loss_mask: 0.4569 [06/20 04:22:23] Vis4D INFO: Epoch 2: 2250/9726, ETA: 1:02:56, 1.98it/s, loss: 0.8245, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0330, RCNNLoss.rcnn_loss_cls: 0.1433, RCNNLoss.rcnn_loss_bbox: 0.2091, SampledMaskLoss.rcnn_loss_mask: 0.4226 [06/20 04:22:49] Vis4D INFO: Epoch 2: 2300/9726, ETA: 1:02:35, 1.98it/s, loss: 0.8288, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1315, RCNNLoss.rcnn_loss_bbox: 0.1814, SampledMaskLoss.rcnn_loss_mask: 0.4722 [06/20 04:23:14] Vis4D INFO: Epoch 2: 2350/9726, ETA: 1:02:09, 1.98it/s, loss: 0.8258, RPNLoss.loss_cls: 0.0159, RPNLoss.loss_bbox: 0.0276, RCNNLoss.rcnn_loss_cls: 0.1239, RCNNLoss.rcnn_loss_bbox: 0.1748, SampledMaskLoss.rcnn_loss_mask: 0.4836 [06/20 04:23:40] Vis4D INFO: Epoch 2: 2400/9726, ETA: 1:01:44, 1.98it/s, loss: 0.8287, RPNLoss.loss_cls: 0.0167, RPNLoss.loss_bbox: 0.0336, RCNNLoss.rcnn_loss_cls: 0.1404, RCNNLoss.rcnn_loss_bbox: 0.1937, SampledMaskLoss.rcnn_loss_mask: 0.4443 [06/20 04:24:08] Vis4D INFO: Epoch 2: 2450/9726, ETA: 1:01:27, 1.97it/s, loss: 0.8035, RPNLoss.loss_cls: 0.0225, RPNLoss.loss_bbox: 0.0381, RCNNLoss.rcnn_loss_cls: 0.1313, RCNNLoss.rcnn_loss_bbox: 0.2007, SampledMaskLoss.rcnn_loss_mask: 0.4109 [06/20 04:24:34] Vis4D INFO: Epoch 2: 2500/9726, ETA: 1:01:04, 1.97it/s, loss: 0.8189, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0346, RCNNLoss.rcnn_loss_cls: 0.1324, RCNNLoss.rcnn_loss_bbox: 0.1963, SampledMaskLoss.rcnn_loss_mask: 0.4400 [06/20 04:25:00] Vis4D INFO: Epoch 2: 2550/9726, ETA: 1:00:40, 1.97it/s, loss: 0.8528, RPNLoss.loss_cls: 0.0161, RPNLoss.loss_bbox: 0.0352, RCNNLoss.rcnn_loss_cls: 0.1378, RCNNLoss.rcnn_loss_bbox: 0.2080, SampledMaskLoss.rcnn_loss_mask: 0.4557 [06/20 04:25:25] Vis4D INFO: Epoch 2: 2600/9726, ETA: 1:00:14, 1.97it/s, loss: 0.8467, RPNLoss.loss_cls: 0.0252, RPNLoss.loss_bbox: 0.0373, RCNNLoss.rcnn_loss_cls: 0.1427, RCNNLoss.rcnn_loss_bbox: 0.2088, SampledMaskLoss.rcnn_loss_mask: 0.4327 [06/20 04:25:49] Vis4D INFO: Epoch 2: 2650/9726, ETA: 0:59:46, 1.97it/s, loss: 0.7630, RPNLoss.loss_cls: 0.0222, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.1132, RCNNLoss.rcnn_loss_bbox: 0.1708, SampledMaskLoss.rcnn_loss_mask: 0.4322 [06/20 04:26:15] Vis4D INFO: Epoch 2: 2700/9726, ETA: 0:59:22, 1.97it/s, loss: 0.8464, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0331, RCNNLoss.rcnn_loss_cls: 0.1369, RCNNLoss.rcnn_loss_bbox: 0.2062, SampledMaskLoss.rcnn_loss_mask: 0.4558 [06/20 04:26:41] Vis4D INFO: Epoch 2: 2750/9726, ETA: 0:58:57, 1.97it/s, loss: 0.8414, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1399, RCNNLoss.rcnn_loss_bbox: 0.2012, SampledMaskLoss.rcnn_loss_mask: 0.4507 [06/20 04:27:06] Vis4D INFO: Epoch 2: 2800/9726, ETA: 0:58:31, 1.97it/s, loss: 0.7991, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1253, RCNNLoss.rcnn_loss_bbox: 0.1854, SampledMaskLoss.rcnn_loss_mask: 0.4428 [06/20 04:27:30] Vis4D INFO: Epoch 2: 2850/9726, ETA: 0:58:02, 1.97it/s, loss: 0.8344, RPNLoss.loss_cls: 0.0167, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1338, RCNNLoss.rcnn_loss_bbox: 0.1977, SampledMaskLoss.rcnn_loss_mask: 0.4553 [06/20 04:27:55] Vis4D INFO: Epoch 2: 2900/9726, ETA: 0:57:37, 1.97it/s, loss: 0.8246, RPNLoss.loss_cls: 0.0201, RPNLoss.loss_bbox: 0.0349, RCNNLoss.rcnn_loss_cls: 0.1360, RCNNLoss.rcnn_loss_bbox: 0.2022, SampledMaskLoss.rcnn_loss_mask: 0.4314 [06/20 04:28:20] Vis4D INFO: Epoch 2: 2950/9726, ETA: 0:57:11, 1.97it/s, loss: 0.8133, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1378, RCNNLoss.rcnn_loss_bbox: 0.2016, SampledMaskLoss.rcnn_loss_mask: 0.4301 [06/20 04:28:45] Vis4D INFO: Epoch 2: 3000/9726, ETA: 0:56:44, 1.98it/s, loss: 0.8150, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1338, RCNNLoss.rcnn_loss_bbox: 0.1923, SampledMaskLoss.rcnn_loss_mask: 0.4437 [06/20 04:29:11] Vis4D INFO: Epoch 2: 3050/9726, ETA: 0:56:20, 1.97it/s, loss: 0.8035, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1250, RCNNLoss.rcnn_loss_bbox: 0.1877, SampledMaskLoss.rcnn_loss_mask: 0.4414 [06/20 04:29:36] Vis4D INFO: Epoch 2: 3100/9726, ETA: 0:55:55, 1.97it/s, loss: 0.8297, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1397, RCNNLoss.rcnn_loss_bbox: 0.1958, SampledMaskLoss.rcnn_loss_mask: 0.4458 [06/20 04:30:01] Vis4D INFO: Epoch 2: 3150/9726, ETA: 0:55:29, 1.98it/s, loss: 0.8005, RPNLoss.loss_cls: 0.0204, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1202, RCNNLoss.rcnn_loss_bbox: 0.1710, SampledMaskLoss.rcnn_loss_mask: 0.4595 [06/20 04:30:26] Vis4D INFO: Epoch 2: 3200/9726, ETA: 0:55:04, 1.98it/s, loss: 0.7640, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1186, RCNNLoss.rcnn_loss_bbox: 0.1784, SampledMaskLoss.rcnn_loss_mask: 0.4257 [06/20 04:30:50] Vis4D INFO: Epoch 2: 3250/9726, ETA: 0:54:36, 1.98it/s, loss: 0.9068, RPNLoss.loss_cls: 0.0302, RPNLoss.loss_bbox: 0.0373, RCNNLoss.rcnn_loss_cls: 0.1517, RCNNLoss.rcnn_loss_bbox: 0.2150, SampledMaskLoss.rcnn_loss_mask: 0.4725 [06/20 04:31:16] Vis4D INFO: Epoch 2: 3300/9726, ETA: 0:54:11, 1.98it/s, loss: 0.8653, RPNLoss.loss_cls: 0.0258, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1550, RCNNLoss.rcnn_loss_bbox: 0.2101, SampledMaskLoss.rcnn_loss_mask: 0.4400 [06/20 04:31:43] Vis4D INFO: Epoch 2: 3350/9726, ETA: 0:53:49, 1.97it/s, loss: 0.8559, RPNLoss.loss_cls: 0.0181, RPNLoss.loss_bbox: 0.0330, RCNNLoss.rcnn_loss_cls: 0.1410, RCNNLoss.rcnn_loss_bbox: 0.2179, SampledMaskLoss.rcnn_loss_mask: 0.4459 [06/20 04:32:09] Vis4D INFO: Epoch 2: 3400/9726, ETA: 0:53:25, 1.97it/s, loss: 0.8474, RPNLoss.loss_cls: 0.0217, RPNLoss.loss_bbox: 0.0355, RCNNLoss.rcnn_loss_cls: 0.1455, RCNNLoss.rcnn_loss_bbox: 0.2043, SampledMaskLoss.rcnn_loss_mask: 0.4404 [06/20 04:32:34] Vis4D INFO: Epoch 2: 3450/9726, ETA: 0:53:00, 1.97it/s, loss: 0.8118, RPNLoss.loss_cls: 0.0162, RPNLoss.loss_bbox: 0.0338, RCNNLoss.rcnn_loss_cls: 0.1404, RCNNLoss.rcnn_loss_bbox: 0.2032, SampledMaskLoss.rcnn_loss_mask: 0.4181 [06/20 04:32:59] Vis4D INFO: Epoch 2: 3500/9726, ETA: 0:52:33, 1.97it/s, loss: 0.8544, RPNLoss.loss_cls: 0.0192, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1470, RCNNLoss.rcnn_loss_bbox: 0.2071, SampledMaskLoss.rcnn_loss_mask: 0.4487 [06/20 04:33:24] Vis4D INFO: Epoch 2: 3550/9726, ETA: 0:52:07, 1.97it/s, loss: 0.7919, RPNLoss.loss_cls: 0.0186, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1355, RCNNLoss.rcnn_loss_bbox: 0.1812, SampledMaskLoss.rcnn_loss_mask: 0.4263 [06/20 04:33:49] Vis4D INFO: Epoch 2: 3600/9726, ETA: 0:51:42, 1.97it/s, loss: 0.7826, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1363, RCNNLoss.rcnn_loss_bbox: 0.1906, SampledMaskLoss.rcnn_loss_mask: 0.4126 [06/20 04:34:14] Vis4D INFO: Epoch 2: 3650/9726, ETA: 0:51:16, 1.97it/s, loss: 0.8024, RPNLoss.loss_cls: 0.0157, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.1233, RCNNLoss.rcnn_loss_bbox: 0.1845, SampledMaskLoss.rcnn_loss_mask: 0.4514 [06/20 04:34:40] Vis4D INFO: Epoch 2: 3700/9726, ETA: 0:50:51, 1.97it/s, loss: 0.8055, RPNLoss.loss_cls: 0.0191, RPNLoss.loss_bbox: 0.0252, RCNNLoss.rcnn_loss_cls: 0.1229, RCNNLoss.rcnn_loss_bbox: 0.1870, SampledMaskLoss.rcnn_loss_mask: 0.4514 [06/20 04:35:05] Vis4D INFO: Epoch 2: 3750/9726, ETA: 0:50:26, 1.97it/s, loss: 0.7993, RPNLoss.loss_cls: 0.0168, RPNLoss.loss_bbox: 0.0315, RCNNLoss.rcnn_loss_cls: 0.1383, RCNNLoss.rcnn_loss_bbox: 0.1942, SampledMaskLoss.rcnn_loss_mask: 0.4185 [06/20 04:35:32] Vis4D INFO: Epoch 2: 3800/9726, ETA: 0:50:03, 1.97it/s, loss: 0.8535, RPNLoss.loss_cls: 0.0161, RPNLoss.loss_bbox: 0.0312, RCNNLoss.rcnn_loss_cls: 0.1377, RCNNLoss.rcnn_loss_bbox: 0.2040, SampledMaskLoss.rcnn_loss_mask: 0.4645 [06/20 04:35:58] Vis4D INFO: Epoch 2: 3850/9726, ETA: 0:49:39, 1.97it/s, loss: 0.8331, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1320, RCNNLoss.rcnn_loss_bbox: 0.1899, SampledMaskLoss.rcnn_loss_mask: 0.4616 [06/20 04:36:22] Vis4D INFO: Epoch 2: 3900/9726, ETA: 0:49:10, 1.97it/s, loss: 0.7589, RPNLoss.loss_cls: 0.0176, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1187, RCNNLoss.rcnn_loss_bbox: 0.1750, SampledMaskLoss.rcnn_loss_mask: 0.4191 [06/20 04:36:49] Vis4D INFO: Epoch 2: 3950/9726, ETA: 0:48:48, 1.97it/s, loss: 0.8100, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1255, RCNNLoss.rcnn_loss_bbox: 0.1817, SampledMaskLoss.rcnn_loss_mask: 0.4555 [06/20 04:37:12] Vis4D INFO: Epoch 2: 4000/9726, ETA: 0:48:20, 1.97it/s, loss: 0.8015, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1379, RCNNLoss.rcnn_loss_bbox: 0.1787, SampledMaskLoss.rcnn_loss_mask: 0.4404 [06/20 04:37:37] Vis4D INFO: Epoch 2: 4050/9726, ETA: 0:47:54, 1.97it/s, loss: 0.8780, RPNLoss.loss_cls: 0.0166, RPNLoss.loss_bbox: 0.0362, RCNNLoss.rcnn_loss_cls: 0.1445, RCNNLoss.rcnn_loss_bbox: 0.2055, SampledMaskLoss.rcnn_loss_mask: 0.4752 [06/20 04:38:03] Vis4D INFO: Epoch 2: 4100/9726, ETA: 0:47:29, 1.97it/s, loss: 0.8546, RPNLoss.loss_cls: 0.0227, RPNLoss.loss_bbox: 0.0375, RCNNLoss.rcnn_loss_cls: 0.1491, RCNNLoss.rcnn_loss_bbox: 0.2028, SampledMaskLoss.rcnn_loss_mask: 0.4424 [06/20 04:38:30] Vis4D INFO: Epoch 2: 4150/9726, ETA: 0:47:06, 1.97it/s, loss: 0.8322, RPNLoss.loss_cls: 0.0201, RPNLoss.loss_bbox: 0.0353, RCNNLoss.rcnn_loss_cls: 0.1438, RCNNLoss.rcnn_loss_bbox: 0.1982, SampledMaskLoss.rcnn_loss_mask: 0.4349 [06/20 04:38:54] Vis4D INFO: Epoch 2: 4200/9726, ETA: 0:46:39, 1.97it/s, loss: 0.7991, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0322, RCNNLoss.rcnn_loss_cls: 0.1266, RCNNLoss.rcnn_loss_bbox: 0.1961, SampledMaskLoss.rcnn_loss_mask: 0.4272 [06/20 04:39:19] Vis4D INFO: Epoch 2: 4250/9726, ETA: 0:46:13, 1.97it/s, loss: 0.8638, RPNLoss.loss_cls: 0.0205, RPNLoss.loss_bbox: 0.0378, RCNNLoss.rcnn_loss_cls: 0.1479, RCNNLoss.rcnn_loss_bbox: 0.2144, SampledMaskLoss.rcnn_loss_mask: 0.4432 [06/20 04:39:42] Vis4D INFO: Epoch 2: 4300/9726, ETA: 0:45:45, 1.98it/s, loss: 0.7923, RPNLoss.loss_cls: 0.0213, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1340, RCNNLoss.rcnn_loss_bbox: 0.1901, SampledMaskLoss.rcnn_loss_mask: 0.4157 [06/20 04:40:07] Vis4D INFO: Epoch 2: 4350/9726, ETA: 0:45:19, 1.98it/s, loss: 0.8463, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0361, RCNNLoss.rcnn_loss_cls: 0.1390, RCNNLoss.rcnn_loss_bbox: 0.1991, SampledMaskLoss.rcnn_loss_mask: 0.4581 [06/20 04:40:31] Vis4D INFO: Epoch 2: 4400/9726, ETA: 0:44:52, 1.98it/s, loss: 0.8067, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1418, RCNNLoss.rcnn_loss_bbox: 0.1947, SampledMaskLoss.rcnn_loss_mask: 0.4214 [06/20 04:40:56] Vis4D INFO: Epoch 2: 4450/9726, ETA: 0:44:26, 1.98it/s, loss: 0.8410, RPNLoss.loss_cls: 0.0208, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1335, RCNNLoss.rcnn_loss_bbox: 0.1974, SampledMaskLoss.rcnn_loss_mask: 0.4594 [06/20 04:41:21] Vis4D INFO: Epoch 2: 4500/9726, ETA: 0:44:01, 1.98it/s, loss: 0.8858, RPNLoss.loss_cls: 0.0205, RPNLoss.loss_bbox: 0.0416, RCNNLoss.rcnn_loss_cls: 0.1515, RCNNLoss.rcnn_loss_bbox: 0.2280, SampledMaskLoss.rcnn_loss_mask: 0.4442 [06/20 04:41:47] Vis4D INFO: Epoch 2: 4550/9726, ETA: 0:43:36, 1.98it/s, loss: 0.7924, RPNLoss.loss_cls: 0.0205, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1271, RCNNLoss.rcnn_loss_bbox: 0.1851, SampledMaskLoss.rcnn_loss_mask: 0.4285 [06/20 04:42:13] Vis4D INFO: Epoch 2: 4600/9726, ETA: 0:43:12, 1.98it/s, loss: 0.8118, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0322, RCNNLoss.rcnn_loss_cls: 0.1215, RCNNLoss.rcnn_loss_bbox: 0.1870, SampledMaskLoss.rcnn_loss_mask: 0.4565 [06/20 04:42:39] Vis4D INFO: Epoch 2: 4650/9726, ETA: 0:42:48, 1.98it/s, loss: 0.8091, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1292, RCNNLoss.rcnn_loss_bbox: 0.1892, SampledMaskLoss.rcnn_loss_mask: 0.4397 [06/20 04:43:03] Vis4D INFO: Epoch 2: 4700/9726, ETA: 0:42:21, 1.98it/s, loss: 0.8676, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0361, RCNNLoss.rcnn_loss_cls: 0.1498, RCNNLoss.rcnn_loss_bbox: 0.2206, SampledMaskLoss.rcnn_loss_mask: 0.4460 [06/20 04:43:27] Vis4D INFO: Epoch 2: 4750/9726, ETA: 0:41:55, 1.98it/s, loss: 0.8170, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.1257, RCNNLoss.rcnn_loss_bbox: 0.1819, SampledMaskLoss.rcnn_loss_mask: 0.4682 [06/20 04:43:54] Vis4D INFO: Epoch 2: 4800/9726, ETA: 0:41:31, 1.98it/s, loss: 0.8057, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1257, RCNNLoss.rcnn_loss_bbox: 0.1901, SampledMaskLoss.rcnn_loss_mask: 0.4449 [06/20 04:44:20] Vis4D INFO: Epoch 2: 4850/9726, ETA: 0:41:06, 1.98it/s, loss: 0.8418, RPNLoss.loss_cls: 0.0152, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1414, RCNNLoss.rcnn_loss_bbox: 0.2013, SampledMaskLoss.rcnn_loss_mask: 0.4520 [06/20 04:44:45] Vis4D INFO: Epoch 2: 4900/9726, ETA: 0:40:41, 1.98it/s, loss: 0.7873, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.1321, RCNNLoss.rcnn_loss_bbox: 0.1925, SampledMaskLoss.rcnn_loss_mask: 0.4247 [06/20 04:45:10] Vis4D INFO: Epoch 2: 4950/9726, ETA: 0:40:15, 1.98it/s, loss: 0.8056, RPNLoss.loss_cls: 0.0198, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.1361, RCNNLoss.rcnn_loss_bbox: 0.2068, SampledMaskLoss.rcnn_loss_mask: 0.4125 [06/20 04:45:35] Vis4D INFO: Epoch 2: 5000/9726, ETA: 0:39:50, 1.98it/s, loss: 0.8228, RPNLoss.loss_cls: 0.0163, RPNLoss.loss_bbox: 0.0322, RCNNLoss.rcnn_loss_cls: 0.1437, RCNNLoss.rcnn_loss_bbox: 0.2065, SampledMaskLoss.rcnn_loss_mask: 0.4240 [06/20 04:46:01] Vis4D INFO: Epoch 2: 5050/9726, ETA: 0:39:25, 1.98it/s, loss: 0.7785, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0259, RCNNLoss.rcnn_loss_cls: 0.1256, RCNNLoss.rcnn_loss_bbox: 0.1780, SampledMaskLoss.rcnn_loss_mask: 0.4348 [06/20 04:46:26] Vis4D INFO: Epoch 2: 5100/9726, ETA: 0:39:00, 1.98it/s, loss: 0.8817, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0365, RCNNLoss.rcnn_loss_cls: 0.1468, RCNNLoss.rcnn_loss_bbox: 0.2316, SampledMaskLoss.rcnn_loss_mask: 0.4511 [06/20 04:46:51] Vis4D INFO: Epoch 2: 5150/9726, ETA: 0:38:34, 1.98it/s, loss: 0.8142, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.1311, RCNNLoss.rcnn_loss_bbox: 0.1818, SampledMaskLoss.rcnn_loss_mask: 0.4568 [06/20 04:47:16] Vis4D INFO: Epoch 2: 5200/9726, ETA: 0:38:08, 1.98it/s, loss: 0.8252, RPNLoss.loss_cls: 0.0229, RPNLoss.loss_bbox: 0.0328, RCNNLoss.rcnn_loss_cls: 0.1291, RCNNLoss.rcnn_loss_bbox: 0.1922, SampledMaskLoss.rcnn_loss_mask: 0.4481 [06/20 04:47:40] Vis4D INFO: Epoch 2: 5250/9726, ETA: 0:37:43, 1.98it/s, loss: 0.8032, RPNLoss.loss_cls: 0.0188, RPNLoss.loss_bbox: 0.0354, RCNNLoss.rcnn_loss_cls: 0.1334, RCNNLoss.rcnn_loss_bbox: 0.1964, SampledMaskLoss.rcnn_loss_mask: 0.4193 [06/20 04:48:05] Vis4D INFO: Epoch 2: 5300/9726, ETA: 0:37:16, 1.98it/s, loss: 0.8004, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0335, RCNNLoss.rcnn_loss_cls: 0.1325, RCNNLoss.rcnn_loss_bbox: 0.1984, SampledMaskLoss.rcnn_loss_mask: 0.4205 [06/20 04:48:30] Vis4D INFO: Epoch 2: 5350/9726, ETA: 0:36:51, 1.98it/s, loss: 0.8015, RPNLoss.loss_cls: 0.0167, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1311, RCNNLoss.rcnn_loss_bbox: 0.1933, SampledMaskLoss.rcnn_loss_mask: 0.4264 [06/20 04:48:54] Vis4D INFO: Epoch 2: 5400/9726, ETA: 0:36:25, 1.98it/s, loss: 0.7725, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.1184, RCNNLoss.rcnn_loss_bbox: 0.1680, SampledMaskLoss.rcnn_loss_mask: 0.4468 [06/20 04:49:19] Vis4D INFO: Epoch 2: 5450/9726, ETA: 0:35:59, 1.98it/s, loss: 0.8062, RPNLoss.loss_cls: 0.0231, RPNLoss.loss_bbox: 0.0383, RCNNLoss.rcnn_loss_cls: 0.1377, RCNNLoss.rcnn_loss_bbox: 0.1993, SampledMaskLoss.rcnn_loss_mask: 0.4079 [06/20 04:49:45] Vis4D INFO: Epoch 2: 5500/9726, ETA: 0:35:35, 1.98it/s, loss: 0.7691, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1271, RCNNLoss.rcnn_loss_bbox: 0.1841, SampledMaskLoss.rcnn_loss_mask: 0.4126 [06/20 04:50:12] Vis4D INFO: Epoch 2: 5550/9726, ETA: 0:35:10, 1.98it/s, loss: 0.8174, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0372, RCNNLoss.rcnn_loss_cls: 0.1421, RCNNLoss.rcnn_loss_bbox: 0.2118, SampledMaskLoss.rcnn_loss_mask: 0.4119 [06/20 04:50:37] Vis4D INFO: Epoch 2: 5600/9726, ETA: 0:34:45, 1.98it/s, loss: 0.7987, RPNLoss.loss_cls: 0.0190, RPNLoss.loss_bbox: 0.0322, RCNNLoss.rcnn_loss_cls: 0.1292, RCNNLoss.rcnn_loss_bbox: 0.1995, SampledMaskLoss.rcnn_loss_mask: 0.4187 [06/20 04:51:02] Vis4D INFO: Epoch 2: 5650/9726, ETA: 0:34:20, 1.98it/s, loss: 0.7688, RPNLoss.loss_cls: 0.0207, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1210, RCNNLoss.rcnn_loss_bbox: 0.1704, SampledMaskLoss.rcnn_loss_mask: 0.4271 [06/20 04:51:28] Vis4D INFO: Epoch 2: 5700/9726, ETA: 0:33:55, 1.98it/s, loss: 0.8048, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1245, RCNNLoss.rcnn_loss_bbox: 0.1923, SampledMaskLoss.rcnn_loss_mask: 0.4409 [06/20 04:51:54] Vis4D INFO: Epoch 2: 5750/9726, ETA: 0:33:30, 1.98it/s, loss: 0.8116, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1294, RCNNLoss.rcnn_loss_bbox: 0.1909, SampledMaskLoss.rcnn_loss_mask: 0.4438 [06/20 04:52:20] Vis4D INFO: Epoch 2: 5800/9726, ETA: 0:33:05, 1.98it/s, loss: 0.8365, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0331, RCNNLoss.rcnn_loss_cls: 0.1485, RCNNLoss.rcnn_loss_bbox: 0.2194, SampledMaskLoss.rcnn_loss_mask: 0.4210 [06/20 04:52:46] Vis4D INFO: Epoch 2: 5850/9726, ETA: 0:32:41, 1.98it/s, loss: 0.8666, RPNLoss.loss_cls: 0.0157, RPNLoss.loss_bbox: 0.0361, RCNNLoss.rcnn_loss_cls: 0.1451, RCNNLoss.rcnn_loss_bbox: 0.2257, SampledMaskLoss.rcnn_loss_mask: 0.4440 [06/20 04:53:12] Vis4D INFO: Epoch 2: 5900/9726, ETA: 0:32:16, 1.98it/s, loss: 0.7510, RPNLoss.loss_cls: 0.0163, RPNLoss.loss_bbox: 0.0334, RCNNLoss.rcnn_loss_cls: 0.1265, RCNNLoss.rcnn_loss_bbox: 0.1932, SampledMaskLoss.rcnn_loss_mask: 0.3816 [06/20 04:53:37] Vis4D INFO: Epoch 2: 5950/9726, ETA: 0:31:50, 1.98it/s, loss: 0.8636, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0322, RCNNLoss.rcnn_loss_cls: 0.1513, RCNNLoss.rcnn_loss_bbox: 0.2079, SampledMaskLoss.rcnn_loss_mask: 0.4578 [06/20 04:54:04] Vis4D INFO: Epoch 2: 6000/9726, ETA: 0:31:26, 1.98it/s, loss: 0.7703, RPNLoss.loss_cls: 0.0210, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1254, RCNNLoss.rcnn_loss_bbox: 0.1799, SampledMaskLoss.rcnn_loss_mask: 0.4139 [06/20 04:54:30] Vis4D INFO: Epoch 2: 6050/9726, ETA: 0:31:01, 1.97it/s, loss: 0.8383, RPNLoss.loss_cls: 0.0181, RPNLoss.loss_bbox: 0.0358, RCNNLoss.rcnn_loss_cls: 0.1437, RCNNLoss.rcnn_loss_bbox: 0.2104, SampledMaskLoss.rcnn_loss_mask: 0.4303 [06/20 04:54:56] Vis4D INFO: Epoch 2: 6100/9726, ETA: 0:30:36, 1.97it/s, loss: 0.8131, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1309, RCNNLoss.rcnn_loss_bbox: 0.1854, SampledMaskLoss.rcnn_loss_mask: 0.4479 [06/20 04:55:23] Vis4D INFO: Epoch 2: 6150/9726, ETA: 0:30:12, 1.97it/s, loss: 0.8042, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0342, RCNNLoss.rcnn_loss_cls: 0.1334, RCNNLoss.rcnn_loss_bbox: 0.2016, SampledMaskLoss.rcnn_loss_mask: 0.4215 [06/20 04:55:49] Vis4D INFO: Epoch 2: 6200/9726, ETA: 0:29:47, 1.97it/s, loss: 0.8668, RPNLoss.loss_cls: 0.0152, RPNLoss.loss_bbox: 0.0361, RCNNLoss.rcnn_loss_cls: 0.1414, RCNNLoss.rcnn_loss_bbox: 0.2110, SampledMaskLoss.rcnn_loss_mask: 0.4631 [06/20 04:56:15] Vis4D INFO: Epoch 2: 6250/9726, ETA: 0:29:22, 1.97it/s, loss: 0.7819, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0347, RCNNLoss.rcnn_loss_cls: 0.1322, RCNNLoss.rcnn_loss_bbox: 0.1919, SampledMaskLoss.rcnn_loss_mask: 0.4114 [06/20 04:56:39] Vis4D INFO: Epoch 2: 6300/9726, ETA: 0:28:56, 1.97it/s, loss: 0.7721, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1263, RCNNLoss.rcnn_loss_bbox: 0.1737, SampledMaskLoss.rcnn_loss_mask: 0.4307 [06/20 04:57:04] Vis4D INFO: Epoch 2: 6350/9726, ETA: 0:28:30, 1.97it/s, loss: 0.8266, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0339, RCNNLoss.rcnn_loss_cls: 0.1378, RCNNLoss.rcnn_loss_bbox: 0.2047, SampledMaskLoss.rcnn_loss_mask: 0.4363 [06/20 04:57:28] Vis4D INFO: Epoch 2: 6400/9726, ETA: 0:28:04, 1.97it/s, loss: 0.7937, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0260, RCNNLoss.rcnn_loss_cls: 0.1195, RCNNLoss.rcnn_loss_bbox: 0.1694, SampledMaskLoss.rcnn_loss_mask: 0.4646 [06/20 04:57:53] Vis4D INFO: Epoch 2: 6450/9726, ETA: 0:27:39, 1.97it/s, loss: 0.8094, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1262, RCNNLoss.rcnn_loss_bbox: 0.1806, SampledMaskLoss.rcnn_loss_mask: 0.4562 [06/20 04:58:18] Vis4D INFO: Epoch 2: 6500/9726, ETA: 0:27:13, 1.97it/s, loss: 0.7819, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.1251, RCNNLoss.rcnn_loss_bbox: 0.1843, SampledMaskLoss.rcnn_loss_mask: 0.4329 [06/20 04:58:44] Vis4D INFO: Epoch 2: 6550/9726, ETA: 0:26:48, 1.97it/s, loss: 0.7830, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.1134, RCNNLoss.rcnn_loss_bbox: 0.1646, SampledMaskLoss.rcnn_loss_mask: 0.4623 [06/20 04:59:09] Vis4D INFO: Epoch 2: 6600/9726, ETA: 0:26:23, 1.97it/s, loss: 0.8028, RPNLoss.loss_cls: 0.0198, RPNLoss.loss_bbox: 0.0305, RCNNLoss.rcnn_loss_cls: 0.1339, RCNNLoss.rcnn_loss_bbox: 0.1852, SampledMaskLoss.rcnn_loss_mask: 0.4334 [06/20 04:59:35] Vis4D INFO: Epoch 2: 6650/9726, ETA: 0:25:58, 1.97it/s, loss: 0.8018, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0338, RCNNLoss.rcnn_loss_cls: 0.1347, RCNNLoss.rcnn_loss_bbox: 0.2005, SampledMaskLoss.rcnn_loss_mask: 0.4156 [06/20 05:00:00] Vis4D INFO: Epoch 2: 6700/9726, ETA: 0:25:32, 1.97it/s, loss: 0.8242, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.1254, RCNNLoss.rcnn_loss_bbox: 0.1922, SampledMaskLoss.rcnn_loss_mask: 0.4619 [06/20 05:00:25] Vis4D INFO: Epoch 2: 6750/9726, ETA: 0:25:07, 1.97it/s, loss: 0.7862, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0272, RCNNLoss.rcnn_loss_cls: 0.1262, RCNNLoss.rcnn_loss_bbox: 0.1788, SampledMaskLoss.rcnn_loss_mask: 0.4421 [06/20 05:00:51] Vis4D INFO: Epoch 2: 6800/9726, ETA: 0:24:42, 1.97it/s, loss: 0.7817, RPNLoss.loss_cls: 0.0163, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1276, RCNNLoss.rcnn_loss_bbox: 0.1957, SampledMaskLoss.rcnn_loss_mask: 0.4130 [06/20 05:01:17] Vis4D INFO: Epoch 2: 6850/9726, ETA: 0:24:17, 1.97it/s, loss: 0.8046, RPNLoss.loss_cls: 0.0187, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.1281, RCNNLoss.rcnn_loss_bbox: 0.1787, SampledMaskLoss.rcnn_loss_mask: 0.4502 [06/20 05:01:44] Vis4D INFO: Epoch 2: 6900/9726, ETA: 0:23:52, 1.97it/s, loss: 0.8028, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1286, RCNNLoss.rcnn_loss_bbox: 0.1969, SampledMaskLoss.rcnn_loss_mask: 0.4337 [06/20 05:02:11] Vis4D INFO: Epoch 2: 6950/9726, ETA: 0:23:27, 1.97it/s, loss: 0.8093, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1357, RCNNLoss.rcnn_loss_bbox: 0.1994, SampledMaskLoss.rcnn_loss_mask: 0.4266 [06/20 05:02:38] Vis4D INFO: Epoch 2: 7000/9726, ETA: 0:23:03, 1.97it/s, loss: 0.8507, RPNLoss.loss_cls: 0.0286, RPNLoss.loss_bbox: 0.0363, RCNNLoss.rcnn_loss_cls: 0.1416, RCNNLoss.rcnn_loss_bbox: 0.1981, SampledMaskLoss.rcnn_loss_mask: 0.4461 [06/20 05:03:03] Vis4D INFO: Epoch 2: 7050/9726, ETA: 0:22:37, 1.97it/s, loss: 0.8461, RPNLoss.loss_cls: 0.0278, RPNLoss.loss_bbox: 0.0395, RCNNLoss.rcnn_loss_cls: 0.1469, RCNNLoss.rcnn_loss_bbox: 0.1991, SampledMaskLoss.rcnn_loss_mask: 0.4329 [06/20 05:03:28] Vis4D INFO: Epoch 2: 7100/9726, ETA: 0:22:12, 1.97it/s, loss: 0.7615, RPNLoss.loss_cls: 0.0204, RPNLoss.loss_bbox: 0.0287, RCNNLoss.rcnn_loss_cls: 0.1236, RCNNLoss.rcnn_loss_bbox: 0.1731, SampledMaskLoss.rcnn_loss_mask: 0.4158 [06/20 05:03:54] Vis4D INFO: Epoch 2: 7150/9726, ETA: 0:21:46, 1.97it/s, loss: 0.7999, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1195, RCNNLoss.rcnn_loss_bbox: 0.1779, SampledMaskLoss.rcnn_loss_mask: 0.4577 [06/20 05:04:20] Vis4D INFO: Epoch 2: 7200/9726, ETA: 0:21:21, 1.97it/s, loss: 0.7558, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1159, RCNNLoss.rcnn_loss_bbox: 0.1788, SampledMaskLoss.rcnn_loss_mask: 0.4156 [06/20 05:04:45] Vis4D INFO: Epoch 2: 7250/9726, ETA: 0:20:56, 1.97it/s, loss: 0.7616, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1270, RCNNLoss.rcnn_loss_bbox: 0.1891, SampledMaskLoss.rcnn_loss_mask: 0.4043 [06/20 05:05:09] Vis4D INFO: Epoch 2: 7300/9726, ETA: 0:20:30, 1.97it/s, loss: 0.7904, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0352, RCNNLoss.rcnn_loss_cls: 0.1416, RCNNLoss.rcnn_loss_bbox: 0.2096, SampledMaskLoss.rcnn_loss_mask: 0.3852 [06/20 05:05:35] Vis4D INFO: Epoch 2: 7350/9726, ETA: 0:20:05, 1.97it/s, loss: 0.7680, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0318, RCNNLoss.rcnn_loss_cls: 0.1345, RCNNLoss.rcnn_loss_bbox: 0.2031, SampledMaskLoss.rcnn_loss_mask: 0.3859 [06/20 05:06:00] Vis4D INFO: Epoch 2: 7400/9726, ETA: 0:19:39, 1.97it/s, loss: 0.8043, RPNLoss.loss_cls: 0.0193, RPNLoss.loss_bbox: 0.0334, RCNNLoss.rcnn_loss_cls: 0.1404, RCNNLoss.rcnn_loss_bbox: 0.2028, SampledMaskLoss.rcnn_loss_mask: 0.4083 [06/20 05:06:25] Vis4D INFO: Epoch 2: 7450/9726, ETA: 0:19:14, 1.97it/s, loss: 0.7635, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1238, RCNNLoss.rcnn_loss_bbox: 0.1938, SampledMaskLoss.rcnn_loss_mask: 0.3995 [06/20 05:06:51] Vis4D INFO: Epoch 2: 7500/9726, ETA: 0:18:49, 1.97it/s, loss: 0.8513, RPNLoss.loss_cls: 0.0183, RPNLoss.loss_bbox: 0.0385, RCNNLoss.rcnn_loss_cls: 0.1499, RCNNLoss.rcnn_loss_bbox: 0.2211, SampledMaskLoss.rcnn_loss_mask: 0.4235 [06/20 05:07:15] Vis4D INFO: Epoch 2: 7550/9726, ETA: 0:18:23, 1.97it/s, loss: 0.8468, RPNLoss.loss_cls: 0.0241, RPNLoss.loss_bbox: 0.0423, RCNNLoss.rcnn_loss_cls: 0.1415, RCNNLoss.rcnn_loss_bbox: 0.2043, SampledMaskLoss.rcnn_loss_mask: 0.4346 [06/20 05:07:42] Vis4D INFO: Epoch 2: 7600/9726, ETA: 0:17:58, 1.97it/s, loss: 0.7847, RPNLoss.loss_cls: 0.0180, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1245, RCNNLoss.rcnn_loss_bbox: 0.1888, SampledMaskLoss.rcnn_loss_mask: 0.4212 [06/20 05:08:07] Vis4D INFO: Epoch 2: 7650/9726, ETA: 0:17:33, 1.97it/s, loss: 0.7854, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.1187, RCNNLoss.rcnn_loss_bbox: 0.1818, SampledMaskLoss.rcnn_loss_mask: 0.4435 [06/20 05:08:33] Vis4D INFO: Epoch 2: 7700/9726, ETA: 0:17:07, 1.97it/s, loss: 0.7623, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1109, RCNNLoss.rcnn_loss_bbox: 0.1699, SampledMaskLoss.rcnn_loss_mask: 0.4390 [06/20 05:08:57] Vis4D INFO: Epoch 2: 7750/9726, ETA: 0:16:42, 1.97it/s, loss: 0.7176, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.1061, RCNNLoss.rcnn_loss_bbox: 0.1588, SampledMaskLoss.rcnn_loss_mask: 0.4148 [06/20 05:09:23] Vis4D INFO: Epoch 2: 7800/9726, ETA: 0:16:16, 1.97it/s, loss: 0.7771, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0305, RCNNLoss.rcnn_loss_cls: 0.1147, RCNNLoss.rcnn_loss_bbox: 0.1925, SampledMaskLoss.rcnn_loss_mask: 0.4251 [06/20 05:09:48] Vis4D INFO: Epoch 2: 7850/9726, ETA: 0:15:51, 1.97it/s, loss: 0.8033, RPNLoss.loss_cls: 0.0168, RPNLoss.loss_bbox: 0.0333, RCNNLoss.rcnn_loss_cls: 0.1284, RCNNLoss.rcnn_loss_bbox: 0.1956, SampledMaskLoss.rcnn_loss_mask: 0.4291 [06/20 05:10:13] Vis4D INFO: Epoch 2: 7900/9726, ETA: 0:15:26, 1.97it/s, loss: 0.7688, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1292, RCNNLoss.rcnn_loss_bbox: 0.1875, SampledMaskLoss.rcnn_loss_mask: 0.4060 [06/20 05:10:38] Vis4D INFO: Epoch 2: 7950/9726, ETA: 0:15:00, 1.97it/s, loss: 0.8186, RPNLoss.loss_cls: 0.0198, RPNLoss.loss_bbox: 0.0369, RCNNLoss.rcnn_loss_cls: 0.1414, RCNNLoss.rcnn_loss_bbox: 0.2053, SampledMaskLoss.rcnn_loss_mask: 0.4152 [06/20 05:11:03] Vis4D INFO: Epoch 2: 8000/9726, ETA: 0:14:35, 1.97it/s, loss: 0.8073, RPNLoss.loss_cls: 0.0207, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1354, RCNNLoss.rcnn_loss_bbox: 0.2049, SampledMaskLoss.rcnn_loss_mask: 0.4132 [06/20 05:11:30] Vis4D INFO: Epoch 2: 8050/9726, ETA: 0:14:10, 1.97it/s, loss: 0.8397, RPNLoss.loss_cls: 0.0185, RPNLoss.loss_bbox: 0.0378, RCNNLoss.rcnn_loss_cls: 0.1412, RCNNLoss.rcnn_loss_bbox: 0.2155, SampledMaskLoss.rcnn_loss_mask: 0.4266 [06/20 05:11:56] Vis4D INFO: Epoch 2: 8100/9726, ETA: 0:13:44, 1.97it/s, loss: 0.7536, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0271, RCNNLoss.rcnn_loss_cls: 0.1289, RCNNLoss.rcnn_loss_bbox: 0.1803, SampledMaskLoss.rcnn_loss_mask: 0.4059 [06/20 05:12:22] Vis4D INFO: Epoch 2: 8150/9726, ETA: 0:13:19, 1.97it/s, loss: 0.8001, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0372, RCNNLoss.rcnn_loss_cls: 0.1298, RCNNLoss.rcnn_loss_bbox: 0.1999, SampledMaskLoss.rcnn_loss_mask: 0.4176 [06/20 05:12:48] Vis4D INFO: Epoch 2: 8200/9726, ETA: 0:12:54, 1.97it/s, loss: 0.8055, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1365, RCNNLoss.rcnn_loss_bbox: 0.2029, SampledMaskLoss.rcnn_loss_mask: 0.4218 [06/20 05:13:12] Vis4D INFO: Epoch 2: 8250/9726, ETA: 0:12:28, 1.97it/s, loss: 0.7844, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1296, RCNNLoss.rcnn_loss_bbox: 0.1833, SampledMaskLoss.rcnn_loss_mask: 0.4277 [06/20 05:13:37] Vis4D INFO: Epoch 2: 8300/9726, ETA: 0:12:03, 1.97it/s, loss: 0.7998, RPNLoss.loss_cls: 0.0212, RPNLoss.loss_bbox: 0.0334, RCNNLoss.rcnn_loss_cls: 0.1373, RCNNLoss.rcnn_loss_bbox: 0.1950, SampledMaskLoss.rcnn_loss_mask: 0.4127 [06/20 05:14:03] Vis4D INFO: Epoch 2: 8350/9726, ETA: 0:11:38, 1.97it/s, loss: 0.7893, RPNLoss.loss_cls: 0.0214, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1398, RCNNLoss.rcnn_loss_bbox: 0.1961, SampledMaskLoss.rcnn_loss_mask: 0.4010 [06/20 05:14:28] Vis4D INFO: Epoch 2: 8400/9726, ETA: 0:11:12, 1.97it/s, loss: 0.7765, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1278, RCNNLoss.rcnn_loss_bbox: 0.1792, SampledMaskLoss.rcnn_loss_mask: 0.4222 [06/20 05:14:53] Vis4D INFO: Epoch 2: 8450/9726, ETA: 0:10:47, 1.97it/s, loss: 0.7444, RPNLoss.loss_cls: 0.0152, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.1182, RCNNLoss.rcnn_loss_bbox: 0.1775, SampledMaskLoss.rcnn_loss_mask: 0.4047 [06/20 05:15:20] Vis4D INFO: Epoch 2: 8500/9726, ETA: 0:10:22, 1.97it/s, loss: 0.7950, RPNLoss.loss_cls: 0.0199, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1349, RCNNLoss.rcnn_loss_bbox: 0.1859, SampledMaskLoss.rcnn_loss_mask: 0.4248 [06/20 05:15:47] Vis4D INFO: Epoch 2: 8550/9726, ETA: 0:09:57, 1.97it/s, loss: 0.7936, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0335, RCNNLoss.rcnn_loss_cls: 0.1385, RCNNLoss.rcnn_loss_bbox: 0.2038, SampledMaskLoss.rcnn_loss_mask: 0.4032 [06/20 05:16:12] Vis4D INFO: Epoch 2: 8600/9726, ETA: 0:09:31, 1.97it/s, loss: 0.8069, RPNLoss.loss_cls: 0.0167, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1312, RCNNLoss.rcnn_loss_bbox: 0.1962, SampledMaskLoss.rcnn_loss_mask: 0.4302 [06/20 05:16:37] Vis4D INFO: Epoch 2: 8650/9726, ETA: 0:09:06, 1.97it/s, loss: 0.7934, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1289, RCNNLoss.rcnn_loss_bbox: 0.1900, SampledMaskLoss.rcnn_loss_mask: 0.4279 [06/20 05:17:03] Vis4D INFO: Epoch 2: 8700/9726, ETA: 0:08:40, 1.97it/s, loss: 0.7984, RPNLoss.loss_cls: 0.0181, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1284, RCNNLoss.rcnn_loss_bbox: 0.2021, SampledMaskLoss.rcnn_loss_mask: 0.4159 [06/20 05:17:28] Vis4D INFO: Epoch 2: 8750/9726, ETA: 0:08:15, 1.97it/s, loss: 0.7841, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1243, RCNNLoss.rcnn_loss_bbox: 0.1832, SampledMaskLoss.rcnn_loss_mask: 0.4345 [06/20 05:17:53] Vis4D INFO: Epoch 2: 8800/9726, ETA: 0:07:49, 1.97it/s, loss: 0.7921, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1330, RCNNLoss.rcnn_loss_bbox: 0.1962, SampledMaskLoss.rcnn_loss_mask: 0.4159 [06/20 05:18:18] Vis4D INFO: Epoch 2: 8850/9726, ETA: 0:07:24, 1.97it/s, loss: 0.7798, RPNLoss.loss_cls: 0.0183, RPNLoss.loss_bbox: 0.0353, RCNNLoss.rcnn_loss_cls: 0.1364, RCNNLoss.rcnn_loss_bbox: 0.2039, SampledMaskLoss.rcnn_loss_mask: 0.3859 [06/20 05:18:43] Vis4D INFO: Epoch 2: 8900/9726, ETA: 0:06:59, 1.97it/s, loss: 0.8722, RPNLoss.loss_cls: 0.0168, RPNLoss.loss_bbox: 0.0369, RCNNLoss.rcnn_loss_cls: 0.1454, RCNNLoss.rcnn_loss_bbox: 0.2126, SampledMaskLoss.rcnn_loss_mask: 0.4605 [06/20 05:19:09] Vis4D INFO: Epoch 2: 8950/9726, ETA: 0:06:33, 1.97it/s, loss: 0.7879, RPNLoss.loss_cls: 0.0200, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1332, RCNNLoss.rcnn_loss_bbox: 0.1896, SampledMaskLoss.rcnn_loss_mask: 0.4140 [06/20 05:19:34] Vis4D INFO: Epoch 2: 9000/9726, ETA: 0:06:08, 1.97it/s, loss: 0.7852, RPNLoss.loss_cls: 0.0190, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1251, RCNNLoss.rcnn_loss_bbox: 0.1861, SampledMaskLoss.rcnn_loss_mask: 0.4227 [06/20 05:19:59] Vis4D INFO: Epoch 2: 9050/9726, ETA: 0:05:43, 1.97it/s, loss: 0.8085, RPNLoss.loss_cls: 0.0241, RPNLoss.loss_bbox: 0.0350, RCNNLoss.rcnn_loss_cls: 0.1397, RCNNLoss.rcnn_loss_bbox: 0.1943, SampledMaskLoss.rcnn_loss_mask: 0.4155 [06/20 05:20:23] Vis4D INFO: Epoch 2: 9100/9726, ETA: 0:05:17, 1.97it/s, loss: 0.8338, RPNLoss.loss_cls: 0.0239, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1279, RCNNLoss.rcnn_loss_bbox: 0.1871, SampledMaskLoss.rcnn_loss_mask: 0.4606 [06/20 05:20:48] Vis4D INFO: Epoch 2: 9150/9726, ETA: 0:04:52, 1.97it/s, loss: 0.7706, RPNLoss.loss_cls: 0.0171, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1284, RCNNLoss.rcnn_loss_bbox: 0.1932, SampledMaskLoss.rcnn_loss_mask: 0.3995 [06/20 05:21:14] Vis4D INFO: Epoch 2: 9200/9726, ETA: 0:04:26, 1.97it/s, loss: 0.7938, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.1293, RCNNLoss.rcnn_loss_bbox: 0.1916, SampledMaskLoss.rcnn_loss_mask: 0.4310 [06/20 05:21:39] Vis4D INFO: Epoch 2: 9250/9726, ETA: 0:04:01, 1.97it/s, loss: 0.8019, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0305, RCNNLoss.rcnn_loss_cls: 0.1305, RCNNLoss.rcnn_loss_bbox: 0.1942, SampledMaskLoss.rcnn_loss_mask: 0.4339 [06/20 05:22:06] Vis4D INFO: Epoch 2: 9300/9726, ETA: 0:03:36, 1.97it/s, loss: 0.7776, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0318, RCNNLoss.rcnn_loss_cls: 0.1349, RCNNLoss.rcnn_loss_bbox: 0.2005, SampledMaskLoss.rcnn_loss_mask: 0.3969 [06/20 05:22:32] Vis4D INFO: Epoch 2: 9350/9726, ETA: 0:03:10, 1.97it/s, loss: 0.8423, RPNLoss.loss_cls: 0.0201, RPNLoss.loss_bbox: 0.0360, RCNNLoss.rcnn_loss_cls: 0.1484, RCNNLoss.rcnn_loss_bbox: 0.2169, SampledMaskLoss.rcnn_loss_mask: 0.4209 [06/20 05:22:56] Vis4D INFO: Epoch 2: 9400/9726, ETA: 0:02:45, 1.97it/s, loss: 0.7825, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0245, RCNNLoss.rcnn_loss_cls: 0.1242, RCNNLoss.rcnn_loss_bbox: 0.1788, SampledMaskLoss.rcnn_loss_mask: 0.4426 [06/20 05:23:25] Vis4D INFO: Epoch 2: 9450/9726, ETA: 0:02:20, 1.97it/s, loss: 0.8128, RPNLoss.loss_cls: 0.0187, RPNLoss.loss_bbox: 0.0370, RCNNLoss.rcnn_loss_cls: 0.1414, RCNNLoss.rcnn_loss_bbox: 0.2067, SampledMaskLoss.rcnn_loss_mask: 0.4091 [06/20 05:23:50] Vis4D INFO: Epoch 2: 9500/9726, ETA: 0:01:54, 1.97it/s, loss: 0.8076, RPNLoss.loss_cls: 0.0176, RPNLoss.loss_bbox: 0.0330, RCNNLoss.rcnn_loss_cls: 0.1362, RCNNLoss.rcnn_loss_bbox: 0.2080, SampledMaskLoss.rcnn_loss_mask: 0.4128 [06/20 05:24:17] Vis4D INFO: Epoch 2: 9550/9726, ETA: 0:01:29, 1.97it/s, loss: 0.8291, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0333, RCNNLoss.rcnn_loss_cls: 0.1355, RCNNLoss.rcnn_loss_bbox: 0.2139, SampledMaskLoss.rcnn_loss_mask: 0.4321 [06/20 05:24:43] Vis4D INFO: Epoch 2: 9600/9726, ETA: 0:01:04, 1.97it/s, loss: 0.8173, RPNLoss.loss_cls: 0.0220, RPNLoss.loss_bbox: 0.0306, RCNNLoss.rcnn_loss_cls: 0.1284, RCNNLoss.rcnn_loss_bbox: 0.1807, SampledMaskLoss.rcnn_loss_mask: 0.4555 [06/20 05:25:09] Vis4D INFO: Epoch 2: 9650/9726, ETA: 0:00:38, 1.97it/s, loss: 0.8305, RPNLoss.loss_cls: 0.0162, RPNLoss.loss_bbox: 0.0393, RCNNLoss.rcnn_loss_cls: 0.1462, RCNNLoss.rcnn_loss_bbox: 0.2116, SampledMaskLoss.rcnn_loss_mask: 0.4172 [06/20 05:25:36] Vis4D INFO: Epoch 2: 9700/9726, ETA: 0:00:13, 1.97it/s, loss: 0.8161, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0268, RCNNLoss.rcnn_loss_cls: 0.1295, RCNNLoss.rcnn_loss_bbox: 0.1935, SampledMaskLoss.rcnn_loss_mask: 0.4529 [06/20 05:26:09] Vis4D INFO: Testing: 50/1400, ETA: 0:09:03, 2.48it/s [06/20 05:26:25] Vis4D INFO: Testing: 100/1400, ETA: 0:07:48, 2.77it/s [06/20 05:26:37] Vis4D INFO: Testing: 150/1400, ETA: 0:06:36, 3.15it/s [06/20 05:26:50] Vis4D INFO: Testing: 200/1400, ETA: 0:06:04, 3.29it/s [06/20 05:27:05] Vis4D INFO: Testing: 250/1400, ETA: 0:05:49, 3.29it/s [06/20 05:27:15] Vis4D INFO: Testing: 300/1400, ETA: 0:05:14, 3.50it/s [06/20 05:27:25] Vis4D INFO: Testing: 350/1400, ETA: 0:04:48, 3.64it/s [06/20 05:27:41] Vis4D INFO: Testing: 400/1400, ETA: 0:04:39, 3.57it/s [06/20 05:27:58] Vis4D INFO: Testing: 450/1400, ETA: 0:04:32, 3.48it/s [06/20 05:28:10] Vis4D INFO: Testing: 500/1400, ETA: 0:04:13, 3.55it/s [06/20 05:28:24] Vis4D INFO: Testing: 550/1400, ETA: 0:03:59, 3.55it/s [06/20 05:28:46] Vis4D INFO: Testing: 600/1400, ETA: 0:03:55, 3.40it/s [06/20 05:29:01] Vis4D INFO: Testing: 650/1400, ETA: 0:03:41, 3.39it/s [06/20 05:29:11] Vis4D INFO: Testing: 700/1400, ETA: 0:03:22, 3.46it/s [06/20 05:29:25] Vis4D INFO: Testing: 750/1400, ETA: 0:03:07, 3.47it/s [06/20 05:29:35] Vis4D INFO: Testing: 800/1400, ETA: 0:02:49, 3.55it/s [06/20 05:29:48] Vis4D INFO: Testing: 850/1400, ETA: 0:02:34, 3.56it/s [06/20 05:29:59] Vis4D INFO: Testing: 900/1400, ETA: 0:02:18, 3.60it/s [06/20 05:30:16] Vis4D INFO: Testing: 950/1400, ETA: 0:02:06, 3.56it/s [06/20 05:30:26] Vis4D INFO: Testing: 1000/1400, ETA: 0:01:50, 3.60it/s [06/20 05:30:39] Vis4D INFO: Testing: 1050/1400, ETA: 0:01:36, 3.62it/s [06/20 05:30:52] Vis4D INFO: Testing: 1100/1400, ETA: 0:01:22, 3.63it/s [06/20 05:31:07] Vis4D INFO: Testing: 1150/1400, ETA: 0:01:09, 3.62it/s [06/20 05:31:22] Vis4D INFO: Testing: 1200/1400, ETA: 0:00:55, 3.61it/s [06/20 05:31:34] Vis4D INFO: Testing: 1250/1400, ETA: 0:00:41, 3.63it/s [06/20 05:31:43] Vis4D INFO: Testing: 1300/1400, ETA: 0:00:27, 3.67it/s [06/20 05:31:59] Vis4D INFO: Testing: 1350/1400, ETA: 0:00:13, 3.65it/s [06/20 05:32:12] Vis4D INFO: Testing: 1400/1400, ETA: 0:00:00, 3.65it/s [06/20 05:32:12] Vis4D INFO: Running evaluator Scalabel Tracking Evaluator... [06/20 05:32:30] Vis4D INFO: Det/AP: 36.5496 [06/20 05:32:30] Vis4D INFO: Det/AP50: 56.1275 [06/20 05:32:30] Vis4D INFO: Det/AP75: 41.3640 [06/20 05:32:30] Vis4D INFO: Det/APs: 20.4690 [06/20 05:32:30] Vis4D INFO: Det/APm: 61.9284 [06/20 05:32:30] Vis4D INFO: Det/APl: 76.6706 [06/20 05:32:30] Vis4D INFO: Det/AR1: 28.0615 [06/20 05:32:30] Vis4D INFO: Det/AR10: 41.6150 [06/20 05:32:30] Vis4D INFO: Det/AR100: 42.3798 [06/20 05:32:30] Vis4D INFO: Det/ARs: 26.9300 [06/20 05:32:30] Vis4D INFO: Det/ARm: 68.6746 [06/20 05:32:30] Vis4D INFO: Det/ARl: 81.0807 [06/20 05:32:30] Vis4D INFO: Det/AP/pedestrian: 35.7585 [06/20 05:32:30] Vis4D INFO: Det/AP/car: 43.9840 [06/20 05:32:30] Vis4D INFO: Det/AP/truck: 36.4762 [06/20 05:32:30] Vis4D INFO: Det/AP/bus: 30.5426 [06/20 05:32:30] Vis4D INFO: Det/AP/motorcycle: 39.1313 [06/20 05:32:30] Vis4D INFO: Det/AP/bicycle: 33.4051 [06/20 05:32:30] Vis4D INFO: Showing evaluation results for Det [06/20 05:32:30] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl --------------------------------------------------------------------------- pedestrian 35.8 61.2 38.1 26.2 69.1 78.9 11.2 37.0 40.4 31.8 74.2 83.6 car 44.0 63.0 49.8 24.8 64.6 84.4 19.2 48.2 49.3 30.7 71.1 87.8 truck 36.5 58.0 42.9 16.9 57.2 69.6 29.7 42.5 42.6 23.6 63.9 75.8 bus 30.5 47.0 33.8 19.2 62.6 80.5 35.0 38.4 38.4 28.1 70.2 85.6 motorcycle 39.1 56.5 45.6 21.1 66.9 68.6 37.7 44.0 44.0 25.8 73.0 71.5 bicycle 33.4 51.1 38.0 14.6 51.2 78.1 35.5 39.5 39.5 21.5 59.8 82.1 --------------------------------------------------------------------------- OVERALL 36.5 56.1 41.4 20.5 61.9 76.7 28.1 41.6 42.4 26.9 68.7 81.1 [06/20 05:32:51] Vis4D INFO: InsSeg/AP: 0.4761 [06/20 05:32:51] Vis4D INFO: InsSeg/AP50: 0.8470 [06/20 05:32:51] Vis4D INFO: InsSeg/AP75: 0.3836 [06/20 05:32:51] Vis4D INFO: InsSeg/APs: 0.2957 [06/20 05:32:51] Vis4D INFO: InsSeg/APm: 0.6598 [06/20 05:32:51] Vis4D INFO: InsSeg/APl: 1.3137 [06/20 05:32:51] Vis4D INFO: InsSeg/AR1: 0.3019 [06/20 05:32:51] Vis4D INFO: InsSeg/AR10: 0.3882 [06/20 05:32:51] Vis4D INFO: InsSeg/AR100: 0.3882 [06/20 05:32:51] Vis4D INFO: InsSeg/ARs: 0.2126 [06/20 05:32:51] Vis4D INFO: InsSeg/ARm: 0.6759 [06/20 05:32:51] Vis4D INFO: InsSeg/ARl: 1.1356 [06/20 05:32:51] Vis4D INFO: InsSeg/AP/pedestrian: 0.2923 [06/20 05:32:51] Vis4D INFO: InsSeg/AP/car: 1.5079 [06/20 05:32:51] Vis4D INFO: InsSeg/AP/truck: 0.5611 [06/20 05:32:51] Vis4D INFO: InsSeg/AP/bus: 0.0000 [06/20 05:32:51] Vis4D INFO: InsSeg/AP/motorcycle: 0.0000 [06/20 05:32:51] Vis4D INFO: InsSeg/AP/bicycle: 0.4950 [06/20 05:32:51] Vis4D INFO: Showing evaluation results for InsSeg [06/20 05:32:51] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl -------------------------------------------------------------------------- pedestrian 0.3 1.0 0.0 0.2 1.1 1.4 0.1 0.2 0.2 0.1 1.0 1.2 car 1.5 2.4 1.6 1.1 2.0 3.4 1.1 1.6 1.6 1.0 2.4 3.1 truck 0.6 0.7 0.7 0.0 0.9 3.1 0.4 0.4 0.4 0.0 0.7 2.6 bus 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 motorcycle 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 bicycle 0.5 1.0 0.0 0.5 0.0 0.0 0.1 0.1 0.1 0.1 0.0 0.0 -------------------------------------------------------------------------- OVERALL 0.5 0.8 0.4 0.3 0.7 1.3 0.3 0.4 0.4 0.2 0.7 1.1 [06/20 05:33:21] Vis4D INFO: Epoch 3: 50/9726, ETA: 1:31:21, 1.77it/s, loss: 0.7637, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1195, RCNNLoss.rcnn_loss_bbox: 0.1790, SampledMaskLoss.rcnn_loss_mask: 0.4245 [06/20 05:33:54] Vis4D INFO: Epoch 3: 100/9726, ETA: 1:39:08, 1.62it/s, loss: 0.7783, RPNLoss.loss_cls: 0.0164, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1218, RCNNLoss.rcnn_loss_bbox: 0.1882, SampledMaskLoss.rcnn_loss_mask: 0.4241 [06/20 05:34:29] Vis4D INFO: Epoch 3: 150/9726, ETA: 1:42:12, 1.56it/s, loss: 0.7219, RPNLoss.loss_cls: 0.0166, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1274, RCNNLoss.rcnn_loss_bbox: 0.1919, SampledMaskLoss.rcnn_loss_mask: 0.3552 [06/20 05:34:57] Vis4D INFO: Epoch 3: 200/9726, ETA: 1:38:53, 1.61it/s, loss: 0.7619, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.1167, RCNNLoss.rcnn_loss_bbox: 0.1883, SampledMaskLoss.rcnn_loss_mask: 0.4176 [06/20 05:35:27] Vis4D INFO: Epoch 3: 250/9726, ETA: 1:37:36, 1.62it/s, loss: 0.7725, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.1217, RCNNLoss.rcnn_loss_bbox: 0.1782, SampledMaskLoss.rcnn_loss_mask: 0.4339 [06/20 05:35:54] Vis4D INFO: Epoch 3: 300/9726, ETA: 1:34:54, 1.66it/s, loss: 0.7548, RPNLoss.loss_cls: 0.0187, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1274, RCNNLoss.rcnn_loss_bbox: 0.1856, SampledMaskLoss.rcnn_loss_mask: 0.3929 [06/20 05:36:21] Vis4D INFO: Epoch 3: 350/9726, ETA: 1:32:59, 1.68it/s, loss: 0.8341, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1315, RCNNLoss.rcnn_loss_bbox: 0.1838, SampledMaskLoss.rcnn_loss_mask: 0.4760 [06/20 05:36:50] Vis4D INFO: Epoch 3: 400/9726, ETA: 1:32:03, 1.69it/s, loss: 0.8165, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0379, RCNNLoss.rcnn_loss_cls: 0.1263, RCNNLoss.rcnn_loss_bbox: 0.1913, SampledMaskLoss.rcnn_loss_mask: 0.4504 [06/20 05:37:16] Vis4D INFO: Epoch 3: 450/9726, ETA: 1:30:31, 1.71it/s, loss: 0.7958, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1312, RCNNLoss.rcnn_loss_bbox: 0.1905, SampledMaskLoss.rcnn_loss_mask: 0.4336 [06/20 05:37:43] Vis4D INFO: Epoch 3: 500/9726, ETA: 1:29:22, 1.72it/s, loss: 0.7811, RPNLoss.loss_cls: 0.0176, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1211, RCNNLoss.rcnn_loss_bbox: 0.1845, SampledMaskLoss.rcnn_loss_mask: 0.4283 [06/20 05:38:10] Vis4D INFO: Epoch 3: 550/9726, ETA: 1:28:18, 1.73it/s, loss: 0.7231, RPNLoss.loss_cls: 0.0121, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.1121, RCNNLoss.rcnn_loss_bbox: 0.1658, SampledMaskLoss.rcnn_loss_mask: 0.4064 [06/20 05:38:37] Vis4D INFO: Epoch 3: 600/9726, ETA: 1:27:22, 1.74it/s, loss: 0.6876, RPNLoss.loss_cls: 0.0101, RPNLoss.loss_bbox: 0.0221, RCNNLoss.rcnn_loss_cls: 0.1012, RCNNLoss.rcnn_loss_bbox: 0.1535, SampledMaskLoss.rcnn_loss_mask: 0.4008 [06/20 05:39:09] Vis4D INFO: Epoch 3: 650/9726, ETA: 1:27:36, 1.73it/s, loss: 0.8042, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0315, RCNNLoss.rcnn_loss_cls: 0.1417, RCNNLoss.rcnn_loss_bbox: 0.2019, SampledMaskLoss.rcnn_loss_mask: 0.4137 [06/20 05:39:40] Vis4D INFO: Epoch 3: 700/9726, ETA: 1:27:31, 1.72it/s, loss: 0.7983, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.1260, RCNNLoss.rcnn_loss_bbox: 0.1969, SampledMaskLoss.rcnn_loss_mask: 0.4336 [06/20 05:40:16] Vis4D INFO: Epoch 3: 750/9726, ETA: 1:28:21, 1.69it/s, loss: 0.7727, RPNLoss.loss_cls: 0.0261, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1199, RCNNLoss.rcnn_loss_bbox: 0.1762, SampledMaskLoss.rcnn_loss_mask: 0.4195 [06/20 05:40:50] Vis4D INFO: Epoch 3: 800/9726, ETA: 1:28:41, 1.68it/s, loss: 0.7562, RPNLoss.loss_cls: 0.0198, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1269, RCNNLoss.rcnn_loss_bbox: 0.1800, SampledMaskLoss.rcnn_loss_mask: 0.3994 [06/20 05:41:17] Vis4D INFO: Epoch 3: 850/9726, ETA: 1:27:43, 1.69it/s, loss: 0.8097, RPNLoss.loss_cls: 0.0193, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1280, RCNNLoss.rcnn_loss_bbox: 0.1897, SampledMaskLoss.rcnn_loss_mask: 0.4406 [06/20 05:41:45] Vis4D INFO: Epoch 3: 900/9726, ETA: 1:27:04, 1.69it/s, loss: 0.7952, RPNLoss.loss_cls: 0.0162, RPNLoss.loss_bbox: 0.0331, RCNNLoss.rcnn_loss_cls: 0.1226, RCNNLoss.rcnn_loss_bbox: 0.1845, SampledMaskLoss.rcnn_loss_mask: 0.4388 [06/20 05:42:21] Vis4D INFO: Epoch 3: 950/9726, ETA: 1:27:30, 1.67it/s, loss: 0.7725, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0276, RCNNLoss.rcnn_loss_cls: 0.1228, RCNNLoss.rcnn_loss_bbox: 0.1726, SampledMaskLoss.rcnn_loss_mask: 0.4358 [06/20 05:42:54] Vis4D INFO: Epoch 3: 1000/9726, ETA: 1:27:26, 1.66it/s, loss: 0.7461, RPNLoss.loss_cls: 0.0174, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.1217, RCNNLoss.rcnn_loss_bbox: 0.1778, SampledMaskLoss.rcnn_loss_mask: 0.4044 [06/20 05:43:25] Vis4D INFO: Epoch 3: 1050/9726, ETA: 1:27:05, 1.66it/s, loss: 0.7388, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.1159, RCNNLoss.rcnn_loss_bbox: 0.1694, SampledMaskLoss.rcnn_loss_mask: 0.4165 [06/20 05:43:53] Vis4D INFO: Epoch 3: 1100/9726, ETA: 1:26:15, 1.67it/s, loss: 0.7820, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0281, RCNNLoss.rcnn_loss_cls: 0.1335, RCNNLoss.rcnn_loss_bbox: 0.1975, SampledMaskLoss.rcnn_loss_mask: 0.4108 [06/20 05:44:20] Vis4D INFO: Epoch 3: 1150/9726, ETA: 1:25:28, 1.67it/s, loss: 0.8423, RPNLoss.loss_cls: 0.0264, RPNLoss.loss_bbox: 0.0408, RCNNLoss.rcnn_loss_cls: 0.1399, RCNNLoss.rcnn_loss_bbox: 0.2132, SampledMaskLoss.rcnn_loss_mask: 0.4220 [06/20 05:44:47] Vis4D INFO: Epoch 3: 1200/9726, ETA: 1:24:38, 1.68it/s, loss: 0.8001, RPNLoss.loss_cls: 0.0177, RPNLoss.loss_bbox: 0.0325, RCNNLoss.rcnn_loss_cls: 0.1206, RCNNLoss.rcnn_loss_bbox: 0.1854, SampledMaskLoss.rcnn_loss_mask: 0.4437 [06/20 05:45:16] Vis4D INFO: Epoch 3: 1250/9726, ETA: 1:24:02, 1.68it/s, loss: 0.7150, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0231, RCNNLoss.rcnn_loss_cls: 0.1103, RCNNLoss.rcnn_loss_bbox: 0.1631, SampledMaskLoss.rcnn_loss_mask: 0.4039 [06/20 05:45:50] Vis4D INFO: Epoch 3: 1300/9726, ETA: 1:23:57, 1.67it/s, loss: 0.7766, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1204, RCNNLoss.rcnn_loss_bbox: 0.1870, SampledMaskLoss.rcnn_loss_mask: 0.4257 [06/20 05:46:24] Vis4D INFO: Epoch 3: 1350/9726, ETA: 1:23:52, 1.66it/s, loss: 0.7563, RPNLoss.loss_cls: 0.0162, RPNLoss.loss_bbox: 0.0339, RCNNLoss.rcnn_loss_cls: 0.1210, RCNNLoss.rcnn_loss_bbox: 0.1778, SampledMaskLoss.rcnn_loss_mask: 0.4074 [06/20 05:46:57] Vis4D INFO: Epoch 3: 1400/9726, ETA: 1:23:43, 1.66it/s, loss: 0.7985, RPNLoss.loss_cls: 0.0218, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1308, RCNNLoss.rcnn_loss_bbox: 0.1789, SampledMaskLoss.rcnn_loss_mask: 0.4389 [06/20 05:47:34] Vis4D INFO: Epoch 3: 1450/9726, ETA: 1:23:51, 1.64it/s, loss: 0.7983, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1232, RCNNLoss.rcnn_loss_bbox: 0.1953, SampledMaskLoss.rcnn_loss_mask: 0.4347 [06/20 05:48:04] Vis4D INFO: Epoch 3: 1500/9726, ETA: 1:23:15, 1.65it/s, loss: 0.7739, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1171, RCNNLoss.rcnn_loss_bbox: 0.1823, SampledMaskLoss.rcnn_loss_mask: 0.4328 [06/20 05:48:31] Vis4D INFO: Epoch 3: 1550/9726, ETA: 1:22:32, 1.65it/s, loss: 0.7372, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0271, RCNNLoss.rcnn_loss_cls: 0.1160, RCNNLoss.rcnn_loss_bbox: 0.1776, SampledMaskLoss.rcnn_loss_mask: 0.4028 [06/20 05:48:58] Vis4D INFO: Epoch 3: 1600/9726, ETA: 1:21:43, 1.66it/s, loss: 0.7598, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0339, RCNNLoss.rcnn_loss_cls: 0.1282, RCNNLoss.rcnn_loss_bbox: 0.1956, SampledMaskLoss.rcnn_loss_mask: 0.3894 [06/20 05:49:28] Vis4D INFO: Epoch 3: 1650/9726, ETA: 1:21:10, 1.66it/s, loss: 0.7314, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1107, RCNNLoss.rcnn_loss_bbox: 0.1596, SampledMaskLoss.rcnn_loss_mask: 0.4201 [06/20 05:49:56] Vis4D INFO: Epoch 3: 1700/9726, ETA: 1:20:29, 1.66it/s, loss: 0.8151, RPNLoss.loss_cls: 0.0180, RPNLoss.loss_bbox: 0.0350, RCNNLoss.rcnn_loss_cls: 0.1307, RCNNLoss.rcnn_loss_bbox: 0.1934, SampledMaskLoss.rcnn_loss_mask: 0.4380 [06/20 05:50:21] Vis4D INFO: Epoch 3: 1750/9726, ETA: 1:19:38, 1.67it/s, loss: 0.7809, RPNLoss.loss_cls: 0.0161, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1253, RCNNLoss.rcnn_loss_bbox: 0.1994, SampledMaskLoss.rcnn_loss_mask: 0.4079 [06/20 05:50:47] Vis4D INFO: Epoch 3: 1800/9726, ETA: 1:18:50, 1.68it/s, loss: 0.7630, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1203, RCNNLoss.rcnn_loss_bbox: 0.1837, SampledMaskLoss.rcnn_loss_mask: 0.4111 [06/20 05:51:14] Vis4D INFO: Epoch 3: 1850/9726, ETA: 1:18:07, 1.68it/s, loss: 0.7882, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0283, RCNNLoss.rcnn_loss_cls: 0.1259, RCNNLoss.rcnn_loss_bbox: 0.1767, SampledMaskLoss.rcnn_loss_mask: 0.4413 [06/20 05:51:42] Vis4D INFO: Epoch 3: 1900/9726, ETA: 1:17:31, 1.68it/s, loss: 0.7489, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.1211, RCNNLoss.rcnn_loss_bbox: 0.1852, SampledMaskLoss.rcnn_loss_mask: 0.3982 [06/20 05:52:11] Vis4D INFO: Epoch 3: 1950/9726, ETA: 1:17:00, 1.68it/s, loss: 0.7691, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1217, RCNNLoss.rcnn_loss_bbox: 0.1882, SampledMaskLoss.rcnn_loss_mask: 0.4159 [06/20 05:52:40] Vis4D INFO: Epoch 3: 2000/9726, ETA: 1:16:25, 1.68it/s, loss: 0.7210, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.1095, RCNNLoss.rcnn_loss_bbox: 0.1638, SampledMaskLoss.rcnn_loss_mask: 0.4122 [06/20 05:53:08] Vis4D INFO: Epoch 3: 2050/9726, ETA: 1:15:50, 1.69it/s, loss: 0.7578, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.1237, RCNNLoss.rcnn_loss_bbox: 0.1911, SampledMaskLoss.rcnn_loss_mask: 0.3998 [06/20 05:53:35] Vis4D INFO: Epoch 3: 2100/9726, ETA: 1:15:11, 1.69it/s, loss: 0.7479, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1141, RCNNLoss.rcnn_loss_bbox: 0.1726, SampledMaskLoss.rcnn_loss_mask: 0.4184 [06/20 05:54:01] Vis4D INFO: Epoch 3: 2150/9726, ETA: 1:14:30, 1.69it/s, loss: 0.7434, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1214, RCNNLoss.rcnn_loss_bbox: 0.1809, SampledMaskLoss.rcnn_loss_mask: 0.3943 [06/20 05:54:30] Vis4D INFO: Epoch 3: 2200/9726, ETA: 1:13:58, 1.70it/s, loss: 0.7654, RPNLoss.loss_cls: 0.0157, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1266, RCNNLoss.rcnn_loss_bbox: 0.1984, SampledMaskLoss.rcnn_loss_mask: 0.3908 [06/20 05:54:57] Vis4D INFO: Epoch 3: 2250/9726, ETA: 1:13:21, 1.70it/s, loss: 0.8086, RPNLoss.loss_cls: 0.0180, RPNLoss.loss_bbox: 0.0350, RCNNLoss.rcnn_loss_cls: 0.1467, RCNNLoss.rcnn_loss_bbox: 0.2115, SampledMaskLoss.rcnn_loss_mask: 0.3973 [06/20 05:55:23] Vis4D INFO: Epoch 3: 2300/9726, ETA: 1:12:39, 1.70it/s, loss: 0.7520, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.1235, RCNNLoss.rcnn_loss_bbox: 0.1732, SampledMaskLoss.rcnn_loss_mask: 0.4126 [06/20 05:55:48] Vis4D INFO: Epoch 3: 2350/9726, ETA: 1:11:57, 1.71it/s, loss: 0.7636, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1324, RCNNLoss.rcnn_loss_bbox: 0.1985, SampledMaskLoss.rcnn_loss_mask: 0.3909 [06/20 05:56:14] Vis4D INFO: Epoch 3: 2400/9726, ETA: 1:11:18, 1.71it/s, loss: 0.7560, RPNLoss.loss_cls: 0.0178, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1262, RCNNLoss.rcnn_loss_bbox: 0.1752, SampledMaskLoss.rcnn_loss_mask: 0.4089 [06/20 05:56:41] Vis4D INFO: Epoch 3: 2450/9726, ETA: 1:10:41, 1.72it/s, loss: 0.8175, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0343, RCNNLoss.rcnn_loss_cls: 0.1314, RCNNLoss.rcnn_loss_bbox: 0.1987, SampledMaskLoss.rcnn_loss_mask: 0.4392 [06/20 05:57:05] Vis4D INFO: Epoch 3: 2500/9726, ETA: 1:09:59, 1.72it/s, loss: 0.7497, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1194, RCNNLoss.rcnn_loss_bbox: 0.1825, SampledMaskLoss.rcnn_loss_mask: 0.4084 [06/20 05:57:31] Vis4D INFO: Epoch 3: 2550/9726, ETA: 1:09:20, 1.72it/s, loss: 0.8173, RPNLoss.loss_cls: 0.0190, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1396, RCNNLoss.rcnn_loss_bbox: 0.2081, SampledMaskLoss.rcnn_loss_mask: 0.4162 [06/20 05:57:56] Vis4D INFO: Epoch 3: 2600/9726, ETA: 1:08:41, 1.73it/s, loss: 0.7403, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1161, RCNNLoss.rcnn_loss_bbox: 0.1856, SampledMaskLoss.rcnn_loss_mask: 0.3973 [06/20 05:58:22] Vis4D INFO: Epoch 3: 2650/9726, ETA: 1:08:03, 1.73it/s, loss: 0.8431, RPNLoss.loss_cls: 0.0152, RPNLoss.loss_bbox: 0.0325, RCNNLoss.rcnn_loss_cls: 0.1337, RCNNLoss.rcnn_loss_bbox: 0.1929, SampledMaskLoss.rcnn_loss_mask: 0.4688 [06/20 05:58:46] Vis4D INFO: Epoch 3: 2700/9726, ETA: 1:07:22, 1.74it/s, loss: 0.7711, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0283, RCNNLoss.rcnn_loss_cls: 0.1200, RCNNLoss.rcnn_loss_bbox: 0.1857, SampledMaskLoss.rcnn_loss_mask: 0.4233 [06/20 05:59:11] Vis4D INFO: Epoch 3: 2750/9726, ETA: 1:06:45, 1.74it/s, loss: 0.7868, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1234, RCNNLoss.rcnn_loss_bbox: 0.1833, SampledMaskLoss.rcnn_loss_mask: 0.4388 [06/20 05:59:37] Vis4D INFO: Epoch 3: 2800/9726, ETA: 1:06:08, 1.75it/s, loss: 0.7809, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0334, RCNNLoss.rcnn_loss_cls: 0.1308, RCNNLoss.rcnn_loss_bbox: 0.1942, SampledMaskLoss.rcnn_loss_mask: 0.4067 [06/20 06:00:04] Vis4D INFO: Epoch 3: 2850/9726, ETA: 1:05:35, 1.75it/s, loss: 0.7837, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0306, RCNNLoss.rcnn_loss_cls: 0.1223, RCNNLoss.rcnn_loss_bbox: 0.2005, SampledMaskLoss.rcnn_loss_mask: 0.4154 [06/20 06:00:29] Vis4D INFO: Epoch 3: 2900/9726, ETA: 1:04:59, 1.75it/s, loss: 0.6975, RPNLoss.loss_cls: 0.0181, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1165, RCNNLoss.rcnn_loss_bbox: 0.1711, SampledMaskLoss.rcnn_loss_mask: 0.3611 [06/20 06:00:56] Vis4D INFO: Epoch 3: 2950/9726, ETA: 1:04:26, 1.75it/s, loss: 0.7802, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1270, RCNNLoss.rcnn_loss_bbox: 0.1905, SampledMaskLoss.rcnn_loss_mask: 0.4173 [06/20 06:01:22] Vis4D INFO: Epoch 3: 3000/9726, ETA: 1:03:51, 1.76it/s, loss: 0.7552, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0358, RCNNLoss.rcnn_loss_cls: 0.1216, RCNNLoss.rcnn_loss_bbox: 0.1965, SampledMaskLoss.rcnn_loss_mask: 0.3871 [06/20 06:01:47] Vis4D INFO: Epoch 3: 3050/9726, ETA: 1:03:15, 1.76it/s, loss: 0.7560, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1207, RCNNLoss.rcnn_loss_bbox: 0.1860, SampledMaskLoss.rcnn_loss_mask: 0.4062 [06/20 06:02:14] Vis4D INFO: Epoch 3: 3100/9726, ETA: 1:02:44, 1.76it/s, loss: 0.7556, RPNLoss.loss_cls: 0.0163, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1193, RCNNLoss.rcnn_loss_bbox: 0.1764, SampledMaskLoss.rcnn_loss_mask: 0.4157 [06/20 06:02:39] Vis4D INFO: Epoch 3: 3150/9726, ETA: 1:02:08, 1.76it/s, loss: 0.8002, RPNLoss.loss_cls: 0.0152, RPNLoss.loss_bbox: 0.0305, RCNNLoss.rcnn_loss_cls: 0.1265, RCNNLoss.rcnn_loss_bbox: 0.1929, SampledMaskLoss.rcnn_loss_mask: 0.4352 [06/20 06:03:04] Vis4D INFO: Epoch 3: 3200/9726, ETA: 1:01:34, 1.77it/s, loss: 0.7950, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0339, RCNNLoss.rcnn_loss_cls: 0.1327, RCNNLoss.rcnn_loss_bbox: 0.2103, SampledMaskLoss.rcnn_loss_mask: 0.4020 [06/20 06:03:29] Vis4D INFO: Epoch 3: 3250/9726, ETA: 1:00:58, 1.77it/s, loss: 0.7720, RPNLoss.loss_cls: 0.0173, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1225, RCNNLoss.rcnn_loss_bbox: 0.1775, SampledMaskLoss.rcnn_loss_mask: 0.4257 [06/20 06:03:56] Vis4D INFO: Epoch 3: 3300/9726, ETA: 1:00:27, 1.77it/s, loss: 0.7596, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1225, RCNNLoss.rcnn_loss_bbox: 0.1920, SampledMaskLoss.rcnn_loss_mask: 0.3978 [06/20 06:04:22] Vis4D INFO: Epoch 3: 3350/9726, ETA: 0:59:55, 1.77it/s, loss: 0.7623, RPNLoss.loss_cls: 0.0180, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1122, RCNNLoss.rcnn_loss_bbox: 0.1700, SampledMaskLoss.rcnn_loss_mask: 0.4324 [06/20 06:04:49] Vis4D INFO: Epoch 3: 3400/9726, ETA: 0:59:25, 1.77it/s, loss: 0.7734, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0315, RCNNLoss.rcnn_loss_cls: 0.1201, RCNNLoss.rcnn_loss_bbox: 0.1855, SampledMaskLoss.rcnn_loss_mask: 0.4227 [06/20 06:05:15] Vis4D INFO: Epoch 3: 3450/9726, ETA: 0:58:53, 1.78it/s, loss: 0.7600, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0312, RCNNLoss.rcnn_loss_cls: 0.1267, RCNNLoss.rcnn_loss_bbox: 0.1851, SampledMaskLoss.rcnn_loss_mask: 0.4029 [06/20 06:05:40] Vis4D INFO: Epoch 3: 3500/9726, ETA: 0:58:20, 1.78it/s, loss: 0.7524, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1250, RCNNLoss.rcnn_loss_bbox: 0.1715, SampledMaskLoss.rcnn_loss_mask: 0.4127 [06/20 06:06:07] Vis4D INFO: Epoch 3: 3550/9726, ETA: 0:57:49, 1.78it/s, loss: 0.8269, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0339, RCNNLoss.rcnn_loss_cls: 0.1438, RCNNLoss.rcnn_loss_bbox: 0.2146, SampledMaskLoss.rcnn_loss_mask: 0.4178 [06/20 06:06:32] Vis4D INFO: Epoch 3: 3600/9726, ETA: 0:57:16, 1.78it/s, loss: 0.7308, RPNLoss.loss_cls: 0.0162, RPNLoss.loss_bbox: 0.0315, RCNNLoss.rcnn_loss_cls: 0.1208, RCNNLoss.rcnn_loss_bbox: 0.1828, SampledMaskLoss.rcnn_loss_mask: 0.3795 [06/20 06:06:58] Vis4D INFO: Epoch 3: 3650/9726, ETA: 0:56:44, 1.78it/s, loss: 0.7797, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0336, RCNNLoss.rcnn_loss_cls: 0.1313, RCNNLoss.rcnn_loss_bbox: 0.1833, SampledMaskLoss.rcnn_loss_mask: 0.4161 [06/20 06:07:24] Vis4D INFO: Epoch 3: 3700/9726, ETA: 0:56:13, 1.79it/s, loss: 0.7852, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1320, RCNNLoss.rcnn_loss_bbox: 0.1986, SampledMaskLoss.rcnn_loss_mask: 0.4095 [06/20 06:07:50] Vis4D INFO: Epoch 3: 3750/9726, ETA: 0:55:42, 1.79it/s, loss: 0.8060, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0336, RCNNLoss.rcnn_loss_cls: 0.1297, RCNNLoss.rcnn_loss_bbox: 0.1992, SampledMaskLoss.rcnn_loss_mask: 0.4263 [06/20 06:08:16] Vis4D INFO: Epoch 3: 3800/9726, ETA: 0:55:11, 1.79it/s, loss: 0.7571, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1273, RCNNLoss.rcnn_loss_bbox: 0.1932, SampledMaskLoss.rcnn_loss_mask: 0.3936 [06/20 06:08:41] Vis4D INFO: Epoch 3: 3850/9726, ETA: 0:54:39, 1.79it/s, loss: 0.7621, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0314, RCNNLoss.rcnn_loss_cls: 0.1194, RCNNLoss.rcnn_loss_bbox: 0.1761, SampledMaskLoss.rcnn_loss_mask: 0.4163 [06/20 06:09:06] Vis4D INFO: Epoch 3: 3900/9726, ETA: 0:54:06, 1.79it/s, loss: 0.7717, RPNLoss.loss_cls: 0.0177, RPNLoss.loss_bbox: 0.0314, RCNNLoss.rcnn_loss_cls: 0.1303, RCNNLoss.rcnn_loss_bbox: 0.1863, SampledMaskLoss.rcnn_loss_mask: 0.4059 [06/20 06:09:31] Vis4D INFO: Epoch 3: 3950/9726, ETA: 0:53:34, 1.80it/s, loss: 0.7630, RPNLoss.loss_cls: 0.0166, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1205, RCNNLoss.rcnn_loss_bbox: 0.1774, SampledMaskLoss.rcnn_loss_mask: 0.4163 [06/20 06:09:56] Vis4D INFO: Epoch 3: 4000/9726, ETA: 0:53:03, 1.80it/s, loss: 0.7394, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0272, RCNNLoss.rcnn_loss_cls: 0.1180, RCNNLoss.rcnn_loss_bbox: 0.1851, SampledMaskLoss.rcnn_loss_mask: 0.3986 [06/20 06:10:22] Vis4D INFO: Epoch 3: 4050/9726, ETA: 0:52:32, 1.80it/s, loss: 0.7811, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.1312, RCNNLoss.rcnn_loss_bbox: 0.2012, SampledMaskLoss.rcnn_loss_mask: 0.4045 [06/20 06:10:46] Vis4D INFO: Epoch 3: 4100/9726, ETA: 0:51:59, 1.80it/s, loss: 0.7295, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1151, RCNNLoss.rcnn_loss_bbox: 0.1746, SampledMaskLoss.rcnn_loss_mask: 0.3992 [06/20 06:11:12] Vis4D INFO: Epoch 3: 4150/9726, ETA: 0:51:29, 1.80it/s, loss: 0.7538, RPNLoss.loss_cls: 0.0197, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1187, RCNNLoss.rcnn_loss_bbox: 0.1850, SampledMaskLoss.rcnn_loss_mask: 0.4002 [06/20 06:11:37] Vis4D INFO: Epoch 3: 4200/9726, ETA: 0:50:58, 1.81it/s, loss: 0.7712, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1322, RCNNLoss.rcnn_loss_bbox: 0.1816, SampledMaskLoss.rcnn_loss_mask: 0.4112 [06/20 06:12:05] Vis4D INFO: Epoch 3: 4250/9726, ETA: 0:50:30, 1.81it/s, loss: 0.7074, RPNLoss.loss_cls: 0.0179, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1047, RCNNLoss.rcnn_loss_bbox: 0.1563, SampledMaskLoss.rcnn_loss_mask: 0.4008 [06/20 06:12:31] Vis4D INFO: Epoch 3: 4300/9726, ETA: 0:50:01, 1.81it/s, loss: 0.7809, RPNLoss.loss_cls: 0.0200, RPNLoss.loss_bbox: 0.0419, RCNNLoss.rcnn_loss_cls: 0.1180, RCNNLoss.rcnn_loss_bbox: 0.1826, SampledMaskLoss.rcnn_loss_mask: 0.4184 [06/20 06:12:56] Vis4D INFO: Epoch 3: 4350/9726, ETA: 0:49:30, 1.81it/s, loss: 0.7813, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1190, RCNNLoss.rcnn_loss_bbox: 0.1873, SampledMaskLoss.rcnn_loss_mask: 0.4316 [06/20 06:13:22] Vis4D INFO: Epoch 3: 4400/9726, ETA: 0:49:00, 1.81it/s, loss: 0.7900, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1254, RCNNLoss.rcnn_loss_bbox: 0.1896, SampledMaskLoss.rcnn_loss_mask: 0.4310 [06/20 06:13:48] Vis4D INFO: Epoch 3: 4450/9726, ETA: 0:48:30, 1.81it/s, loss: 0.7717, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1209, RCNNLoss.rcnn_loss_bbox: 0.1925, SampledMaskLoss.rcnn_loss_mask: 0.4103 [06/20 06:14:14] Vis4D INFO: Epoch 3: 4500/9726, ETA: 0:48:01, 1.81it/s, loss: 0.7512, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1251, RCNNLoss.rcnn_loss_bbox: 0.1865, SampledMaskLoss.rcnn_loss_mask: 0.3943 [06/20 06:14:40] Vis4D INFO: Epoch 3: 4550/9726, ETA: 0:47:32, 1.81it/s, loss: 0.7627, RPNLoss.loss_cls: 0.0188, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1379, RCNNLoss.rcnn_loss_bbox: 0.1940, SampledMaskLoss.rcnn_loss_mask: 0.3804 [06/20 06:15:06] Vis4D INFO: Epoch 3: 4600/9726, ETA: 0:47:03, 1.82it/s, loss: 0.7242, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1053, RCNNLoss.rcnn_loss_bbox: 0.1648, SampledMaskLoss.rcnn_loss_mask: 0.4137 [06/20 06:15:31] Vis4D INFO: Epoch 3: 4650/9726, ETA: 0:46:33, 1.82it/s, loss: 0.7786, RPNLoss.loss_cls: 0.0181, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1231, RCNNLoss.rcnn_loss_bbox: 0.1857, SampledMaskLoss.rcnn_loss_mask: 0.4206 [06/20 06:15:57] Vis4D INFO: Epoch 3: 4700/9726, ETA: 0:46:03, 1.82it/s, loss: 0.7531, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1237, RCNNLoss.rcnn_loss_bbox: 0.1842, SampledMaskLoss.rcnn_loss_mask: 0.4042 [06/20 06:16:22] Vis4D INFO: Epoch 3: 4750/9726, ETA: 0:45:33, 1.82it/s, loss: 0.7571, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0360, RCNNLoss.rcnn_loss_cls: 0.1242, RCNNLoss.rcnn_loss_bbox: 0.1831, SampledMaskLoss.rcnn_loss_mask: 0.3998 [06/20 06:16:46] Vis4D INFO: Epoch 3: 4800/9726, ETA: 0:45:02, 1.82it/s, loss: 0.7237, RPNLoss.loss_cls: 0.0110, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.1082, RCNNLoss.rcnn_loss_bbox: 0.1685, SampledMaskLoss.rcnn_loss_mask: 0.4120 [06/20 06:17:11] Vis4D INFO: Epoch 3: 4850/9726, ETA: 0:44:32, 1.82it/s, loss: 0.7802, RPNLoss.loss_cls: 0.0157, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1220, RCNNLoss.rcnn_loss_bbox: 0.1885, SampledMaskLoss.rcnn_loss_mask: 0.4229 [06/20 06:17:38] Vis4D INFO: Epoch 3: 4900/9726, ETA: 0:44:04, 1.82it/s, loss: 0.7311, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1136, RCNNLoss.rcnn_loss_bbox: 0.1745, SampledMaskLoss.rcnn_loss_mask: 0.4002 [06/20 06:18:04] Vis4D INFO: Epoch 3: 4950/9726, ETA: 0:43:35, 1.83it/s, loss: 0.7722, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0330, RCNNLoss.rcnn_loss_cls: 0.1244, RCNNLoss.rcnn_loss_bbox: 0.1974, SampledMaskLoss.rcnn_loss_mask: 0.4046 [06/20 06:18:29] Vis4D INFO: Epoch 3: 5000/9726, ETA: 0:43:06, 1.83it/s, loss: 0.7893, RPNLoss.loss_cls: 0.0104, RPNLoss.loss_bbox: 0.0318, RCNNLoss.rcnn_loss_cls: 0.1346, RCNNLoss.rcnn_loss_bbox: 0.2040, SampledMaskLoss.rcnn_loss_mask: 0.4085 [06/20 06:18:55] Vis4D INFO: Epoch 3: 5050/9726, ETA: 0:42:38, 1.83it/s, loss: 0.7502, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1203, RCNNLoss.rcnn_loss_bbox: 0.1826, SampledMaskLoss.rcnn_loss_mask: 0.4032 [06/20 06:19:24] Vis4D INFO: Epoch 3: 5100/9726, ETA: 0:42:11, 1.83it/s, loss: 0.7516, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0345, RCNNLoss.rcnn_loss_cls: 0.1292, RCNNLoss.rcnn_loss_bbox: 0.1913, SampledMaskLoss.rcnn_loss_mask: 0.3822 [06/20 06:19:49] Vis4D INFO: Epoch 3: 5150/9726, ETA: 0:41:42, 1.83it/s, loss: 0.7451, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1207, RCNNLoss.rcnn_loss_bbox: 0.1868, SampledMaskLoss.rcnn_loss_mask: 0.3962 [06/20 06:20:14] Vis4D INFO: Epoch 3: 5200/9726, ETA: 0:41:13, 1.83it/s, loss: 0.7730, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0312, RCNNLoss.rcnn_loss_cls: 0.1266, RCNNLoss.rcnn_loss_bbox: 0.1855, SampledMaskLoss.rcnn_loss_mask: 0.4141 [06/20 06:20:40] Vis4D INFO: Epoch 3: 5250/9726, ETA: 0:40:44, 1.83it/s, loss: 0.7475, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1194, RCNNLoss.rcnn_loss_bbox: 0.1857, SampledMaskLoss.rcnn_loss_mask: 0.3978 [06/20 06:21:06] Vis4D INFO: Epoch 3: 5300/9726, ETA: 0:40:16, 1.83it/s, loss: 0.7517, RPNLoss.loss_cls: 0.0182, RPNLoss.loss_bbox: 0.0330, RCNNLoss.rcnn_loss_cls: 0.1226, RCNNLoss.rcnn_loss_bbox: 0.1796, SampledMaskLoss.rcnn_loss_mask: 0.3982 [06/20 06:21:31] Vis4D INFO: Epoch 3: 5350/9726, ETA: 0:39:47, 1.83it/s, loss: 0.7928, RPNLoss.loss_cls: 0.0211, RPNLoss.loss_bbox: 0.0354, RCNNLoss.rcnn_loss_cls: 0.1268, RCNNLoss.rcnn_loss_bbox: 0.1873, SampledMaskLoss.rcnn_loss_mask: 0.4222 [06/20 06:21:57] Vis4D INFO: Epoch 3: 5400/9726, ETA: 0:39:18, 1.83it/s, loss: 0.7902, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1266, RCNNLoss.rcnn_loss_bbox: 0.2078, SampledMaskLoss.rcnn_loss_mask: 0.4108 [06/20 06:22:25] Vis4D INFO: Epoch 3: 5450/9726, ETA: 0:38:52, 1.83it/s, loss: 0.8407, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0343, RCNNLoss.rcnn_loss_cls: 0.1413, RCNNLoss.rcnn_loss_bbox: 0.2152, SampledMaskLoss.rcnn_loss_mask: 0.4334 [06/20 06:22:51] Vis4D INFO: Epoch 3: 5500/9726, ETA: 0:38:24, 1.83it/s, loss: 0.7433, RPNLoss.loss_cls: 0.0183, RPNLoss.loss_bbox: 0.0306, RCNNLoss.rcnn_loss_cls: 0.1239, RCNNLoss.rcnn_loss_bbox: 0.1824, SampledMaskLoss.rcnn_loss_mask: 0.3881 [06/20 06:23:17] Vis4D INFO: Epoch 3: 5550/9726, ETA: 0:37:55, 1.84it/s, loss: 0.7771, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1304, RCNNLoss.rcnn_loss_bbox: 0.1886, SampledMaskLoss.rcnn_loss_mask: 0.4103 [06/20 06:23:41] Vis4D INFO: Epoch 3: 5600/9726, ETA: 0:37:26, 1.84it/s, loss: 0.8277, RPNLoss.loss_cls: 0.0190, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1266, RCNNLoss.rcnn_loss_bbox: 0.1845, SampledMaskLoss.rcnn_loss_mask: 0.4672 [06/20 06:24:07] Vis4D INFO: Epoch 3: 5650/9726, ETA: 0:36:57, 1.84it/s, loss: 0.7344, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.1200, RCNNLoss.rcnn_loss_bbox: 0.1746, SampledMaskLoss.rcnn_loss_mask: 0.4003 [06/20 06:24:34] Vis4D INFO: Epoch 3: 5700/9726, ETA: 0:36:30, 1.84it/s, loss: 0.7666, RPNLoss.loss_cls: 0.0221, RPNLoss.loss_bbox: 0.0364, RCNNLoss.rcnn_loss_cls: 0.1315, RCNNLoss.rcnn_loss_bbox: 0.1981, SampledMaskLoss.rcnn_loss_mask: 0.3785 [06/20 06:25:02] Vis4D INFO: Epoch 3: 5750/9726, ETA: 0:36:03, 1.84it/s, loss: 0.7614, RPNLoss.loss_cls: 0.0163, RPNLoss.loss_bbox: 0.0328, RCNNLoss.rcnn_loss_cls: 0.1203, RCNNLoss.rcnn_loss_bbox: 0.1786, SampledMaskLoss.rcnn_loss_mask: 0.4134 [06/20 06:25:28] Vis4D INFO: Epoch 3: 5800/9726, ETA: 0:35:36, 1.84it/s, loss: 0.7882, RPNLoss.loss_cls: 0.0184, RPNLoss.loss_bbox: 0.0333, RCNNLoss.rcnn_loss_cls: 0.1327, RCNNLoss.rcnn_loss_bbox: 0.1894, SampledMaskLoss.rcnn_loss_mask: 0.4145 [06/20 06:25:52] Vis4D INFO: Epoch 3: 5850/9726, ETA: 0:35:06, 1.84it/s, loss: 0.7819, RPNLoss.loss_cls: 0.0194, RPNLoss.loss_bbox: 0.0360, RCNNLoss.rcnn_loss_cls: 0.1260, RCNNLoss.rcnn_loss_bbox: 0.1871, SampledMaskLoss.rcnn_loss_mask: 0.4134 [06/20 06:26:18] Vis4D INFO: Epoch 3: 5900/9726, ETA: 0:34:38, 1.84it/s, loss: 0.7420, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.1103, RCNNLoss.rcnn_loss_bbox: 0.1635, SampledMaskLoss.rcnn_loss_mask: 0.4258 [06/20 06:26:43] Vis4D INFO: Epoch 3: 5950/9726, ETA: 0:34:10, 1.84it/s, loss: 0.7008, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.1118, RCNNLoss.rcnn_loss_bbox: 0.1802, SampledMaskLoss.rcnn_loss_mask: 0.3728 [06/20 06:27:09] Vis4D INFO: Epoch 3: 6000/9726, ETA: 0:33:42, 1.84it/s, loss: 0.8420, RPNLoss.loss_cls: 0.0185, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1191, RCNNLoss.rcnn_loss_bbox: 0.1885, SampledMaskLoss.rcnn_loss_mask: 0.4862 [06/20 06:27:34] Vis4D INFO: Epoch 3: 6050/9726, ETA: 0:33:13, 1.84it/s, loss: 0.8054, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1228, RCNNLoss.rcnn_loss_bbox: 0.1844, SampledMaskLoss.rcnn_loss_mask: 0.4550 [06/20 06:28:00] Vis4D INFO: Epoch 3: 6100/9726, ETA: 0:32:45, 1.84it/s, loss: 0.8047, RPNLoss.loss_cls: 0.0284, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.1306, RCNNLoss.rcnn_loss_bbox: 0.1715, SampledMaskLoss.rcnn_loss_mask: 0.4439 [06/20 06:28:26] Vis4D INFO: Epoch 3: 6150/9726, ETA: 0:32:18, 1.84it/s, loss: 0.8037, RPNLoss.loss_cls: 0.0223, RPNLoss.loss_bbox: 0.0355, RCNNLoss.rcnn_loss_cls: 0.1367, RCNNLoss.rcnn_loss_bbox: 0.2019, SampledMaskLoss.rcnn_loss_mask: 0.4072 [06/20 06:28:52] Vis4D INFO: Epoch 3: 6200/9726, ETA: 0:31:50, 1.85it/s, loss: 0.7153, RPNLoss.loss_cls: 0.0211, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.1055, RCNNLoss.rcnn_loss_bbox: 0.1661, SampledMaskLoss.rcnn_loss_mask: 0.3958 [06/20 06:29:18] Vis4D INFO: Epoch 3: 6250/9726, ETA: 0:31:22, 1.85it/s, loss: 0.7560, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0350, RCNNLoss.rcnn_loss_cls: 0.1244, RCNNLoss.rcnn_loss_bbox: 0.1883, SampledMaskLoss.rcnn_loss_mask: 0.3933 [06/20 06:29:43] Vis4D INFO: Epoch 3: 6300/9726, ETA: 0:30:54, 1.85it/s, loss: 0.7718, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1189, RCNNLoss.rcnn_loss_bbox: 0.1854, SampledMaskLoss.rcnn_loss_mask: 0.4233 [06/20 06:30:08] Vis4D INFO: Epoch 3: 6350/9726, ETA: 0:30:26, 1.85it/s, loss: 0.7367, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1194, RCNNLoss.rcnn_loss_bbox: 0.1764, SampledMaskLoss.rcnn_loss_mask: 0.3968 [06/20 06:30:33] Vis4D INFO: Epoch 3: 6400/9726, ETA: 0:29:58, 1.85it/s, loss: 0.7381, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0254, RCNNLoss.rcnn_loss_cls: 0.1224, RCNNLoss.rcnn_loss_bbox: 0.1738, SampledMaskLoss.rcnn_loss_mask: 0.4030 [06/20 06:31:01] Vis4D INFO: Epoch 3: 6450/9726, ETA: 0:29:31, 1.85it/s, loss: 0.7550, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1219, RCNNLoss.rcnn_loss_bbox: 0.1813, SampledMaskLoss.rcnn_loss_mask: 0.4074 [06/20 06:31:27] Vis4D INFO: Epoch 3: 6500/9726, ETA: 0:29:04, 1.85it/s, loss: 0.7681, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1197, RCNNLoss.rcnn_loss_bbox: 0.1728, SampledMaskLoss.rcnn_loss_mask: 0.4311 [06/20 06:31:51] Vis4D INFO: Epoch 3: 6550/9726, ETA: 0:28:35, 1.85it/s, loss: 0.7663, RPNLoss.loss_cls: 0.0182, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.1127, RCNNLoss.rcnn_loss_bbox: 0.1656, SampledMaskLoss.rcnn_loss_mask: 0.4410 [06/20 06:32:18] Vis4D INFO: Epoch 3: 6600/9726, ETA: 0:28:08, 1.85it/s, loss: 0.7968, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1281, RCNNLoss.rcnn_loss_bbox: 0.1923, SampledMaskLoss.rcnn_loss_mask: 0.4278 [06/20 06:32:45] Vis4D INFO: Epoch 3: 6650/9726, ETA: 0:27:41, 1.85it/s, loss: 0.7355, RPNLoss.loss_cls: 0.0209, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.1097, RCNNLoss.rcnn_loss_bbox: 0.1709, SampledMaskLoss.rcnn_loss_mask: 0.4073 [06/20 06:33:10] Vis4D INFO: Epoch 3: 6700/9726, ETA: 0:27:13, 1.85it/s, loss: 0.8055, RPNLoss.loss_cls: 0.0164, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1302, RCNNLoss.rcnn_loss_bbox: 0.1964, SampledMaskLoss.rcnn_loss_mask: 0.4305 [06/20 06:33:35] Vis4D INFO: Epoch 3: 6750/9726, ETA: 0:26:45, 1.85it/s, loss: 0.7326, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1159, RCNNLoss.rcnn_loss_bbox: 0.1799, SampledMaskLoss.rcnn_loss_mask: 0.3932 [06/20 06:34:01] Vis4D INFO: Epoch 3: 6800/9726, ETA: 0:26:18, 1.85it/s, loss: 0.7360, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.1174, RCNNLoss.rcnn_loss_bbox: 0.1775, SampledMaskLoss.rcnn_loss_mask: 0.3968 [06/20 06:34:26] Vis4D INFO: Epoch 3: 6850/9726, ETA: 0:25:50, 1.85it/s, loss: 0.7334, RPNLoss.loss_cls: 0.0103, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.1084, RCNNLoss.rcnn_loss_bbox: 0.1835, SampledMaskLoss.rcnn_loss_mask: 0.4066 [06/20 06:34:50] Vis4D INFO: Epoch 3: 6900/9726, ETA: 0:25:22, 1.86it/s, loss: 0.7403, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.1212, RCNNLoss.rcnn_loss_bbox: 0.1789, SampledMaskLoss.rcnn_loss_mask: 0.4018 [06/20 06:35:14] Vis4D INFO: Epoch 3: 6950/9726, ETA: 0:24:54, 1.86it/s, loss: 0.7280, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.1012, RCNNLoss.rcnn_loss_bbox: 0.1715, SampledMaskLoss.rcnn_loss_mask: 0.4144 [06/20 06:35:40] Vis4D INFO: Epoch 3: 7000/9726, ETA: 0:24:27, 1.86it/s, loss: 0.7202, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1060, RCNNLoss.rcnn_loss_bbox: 0.1717, SampledMaskLoss.rcnn_loss_mask: 0.4004 [06/20 06:36:06] Vis4D INFO: Epoch 3: 7050/9726, ETA: 0:23:59, 1.86it/s, loss: 0.7282, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1168, RCNNLoss.rcnn_loss_bbox: 0.1716, SampledMaskLoss.rcnn_loss_mask: 0.3998 [06/20 06:36:32] Vis4D INFO: Epoch 3: 7100/9726, ETA: 0:23:32, 1.86it/s, loss: 0.8016, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1263, RCNNLoss.rcnn_loss_bbox: 0.1938, SampledMaskLoss.rcnn_loss_mask: 0.4392 [06/20 06:36:57] Vis4D INFO: Epoch 3: 7150/9726, ETA: 0:23:04, 1.86it/s, loss: 0.7606, RPNLoss.loss_cls: 0.0203, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1194, RCNNLoss.rcnn_loss_bbox: 0.1752, SampledMaskLoss.rcnn_loss_mask: 0.4133 [06/20 06:37:22] Vis4D INFO: Epoch 3: 7200/9726, ETA: 0:22:37, 1.86it/s, loss: 0.7905, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0409, RCNNLoss.rcnn_loss_cls: 0.1341, RCNNLoss.rcnn_loss_bbox: 0.2064, SampledMaskLoss.rcnn_loss_mask: 0.3925 [06/20 06:37:48] Vis4D INFO: Epoch 3: 7250/9726, ETA: 0:22:10, 1.86it/s, loss: 0.7689, RPNLoss.loss_cls: 0.0159, RPNLoss.loss_bbox: 0.0312, RCNNLoss.rcnn_loss_cls: 0.1350, RCNNLoss.rcnn_loss_bbox: 0.1992, SampledMaskLoss.rcnn_loss_mask: 0.3875 [06/20 06:38:13] Vis4D INFO: Epoch 3: 7300/9726, ETA: 0:21:42, 1.86it/s, loss: 0.7437, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1192, RCNNLoss.rcnn_loss_bbox: 0.1704, SampledMaskLoss.rcnn_loss_mask: 0.4086 [06/20 06:38:39] Vis4D INFO: Epoch 3: 7350/9726, ETA: 0:21:15, 1.86it/s, loss: 0.7215, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1158, RCNNLoss.rcnn_loss_bbox: 0.1648, SampledMaskLoss.rcnn_loss_mask: 0.3938 [06/20 06:39:04] Vis4D INFO: Epoch 3: 7400/9726, ETA: 0:20:48, 1.86it/s, loss: 0.7889, RPNLoss.loss_cls: 0.0154, RPNLoss.loss_bbox: 0.0357, RCNNLoss.rcnn_loss_cls: 0.1387, RCNNLoss.rcnn_loss_bbox: 0.1950, SampledMaskLoss.rcnn_loss_mask: 0.4042 [06/20 06:39:30] Vis4D INFO: Epoch 3: 7450/9726, ETA: 0:20:21, 1.86it/s, loss: 0.7887, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0368, RCNNLoss.rcnn_loss_cls: 0.1298, RCNNLoss.rcnn_loss_bbox: 0.2058, SampledMaskLoss.rcnn_loss_mask: 0.4022 [06/20 06:39:56] Vis4D INFO: Epoch 3: 7500/9726, ETA: 0:19:54, 1.86it/s, loss: 0.8025, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1357, RCNNLoss.rcnn_loss_bbox: 0.1982, SampledMaskLoss.rcnn_loss_mask: 0.4188 [06/20 06:40:21] Vis4D INFO: Epoch 3: 7550/9726, ETA: 0:19:26, 1.87it/s, loss: 0.8288, RPNLoss.loss_cls: 0.0162, RPNLoss.loss_bbox: 0.0314, RCNNLoss.rcnn_loss_cls: 0.1274, RCNNLoss.rcnn_loss_bbox: 0.1879, SampledMaskLoss.rcnn_loss_mask: 0.4659 [06/20 06:40:48] Vis4D INFO: Epoch 3: 7600/9726, ETA: 0:18:59, 1.87it/s, loss: 0.8901, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0398, RCNNLoss.rcnn_loss_cls: 0.1582, RCNNLoss.rcnn_loss_bbox: 0.2306, SampledMaskLoss.rcnn_loss_mask: 0.4442 [06/20 06:41:12] Vis4D INFO: Epoch 3: 7650/9726, ETA: 0:18:32, 1.87it/s, loss: 0.7964, RPNLoss.loss_cls: 0.0216, RPNLoss.loss_bbox: 0.0376, RCNNLoss.rcnn_loss_cls: 0.1393, RCNNLoss.rcnn_loss_bbox: 0.2018, SampledMaskLoss.rcnn_loss_mask: 0.3961 [06/20 06:41:38] Vis4D INFO: Epoch 3: 7700/9726, ETA: 0:18:05, 1.87it/s, loss: 0.7796, RPNLoss.loss_cls: 0.0219, RPNLoss.loss_bbox: 0.0261, RCNNLoss.rcnn_loss_cls: 0.1150, RCNNLoss.rcnn_loss_bbox: 0.1714, SampledMaskLoss.rcnn_loss_mask: 0.4452 [06/20 06:42:03] Vis4D INFO: Epoch 3: 7750/9726, ETA: 0:17:38, 1.87it/s, loss: 0.7837, RPNLoss.loss_cls: 0.0176, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1268, RCNNLoss.rcnn_loss_bbox: 0.1974, SampledMaskLoss.rcnn_loss_mask: 0.4099 [06/20 06:42:29] Vis4D INFO: Epoch 3: 7800/9726, ETA: 0:17:11, 1.87it/s, loss: 0.8071, RPNLoss.loss_cls: 0.0187, RPNLoss.loss_bbox: 0.0352, RCNNLoss.rcnn_loss_cls: 0.1225, RCNNLoss.rcnn_loss_bbox: 0.1939, SampledMaskLoss.rcnn_loss_mask: 0.4368 [06/20 06:42:55] Vis4D INFO: Epoch 3: 7850/9726, ETA: 0:16:44, 1.87it/s, loss: 0.7841, RPNLoss.loss_cls: 0.0204, RPNLoss.loss_bbox: 0.0339, RCNNLoss.rcnn_loss_cls: 0.1228, RCNNLoss.rcnn_loss_bbox: 0.1914, SampledMaskLoss.rcnn_loss_mask: 0.4157 [06/20 06:43:22] Vis4D INFO: Epoch 3: 7900/9726, ETA: 0:16:17, 1.87it/s, loss: 0.7129, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.1162, RCNNLoss.rcnn_loss_bbox: 0.1617, SampledMaskLoss.rcnn_loss_mask: 0.3955 [06/20 06:43:47] Vis4D INFO: Epoch 3: 7950/9726, ETA: 0:15:50, 1.87it/s, loss: 0.7562, RPNLoss.loss_cls: 0.0190, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1173, RCNNLoss.rcnn_loss_bbox: 0.1801, SampledMaskLoss.rcnn_loss_mask: 0.4054 [06/20 06:44:12] Vis4D INFO: Epoch 3: 8000/9726, ETA: 0:15:23, 1.87it/s, loss: 0.7661, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0352, RCNNLoss.rcnn_loss_cls: 0.1230, RCNNLoss.rcnn_loss_bbox: 0.1862, SampledMaskLoss.rcnn_loss_mask: 0.4052 [06/20 06:44:36] Vis4D INFO: Epoch 3: 8050/9726, ETA: 0:14:56, 1.87it/s, loss: 0.6756, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0235, RCNNLoss.rcnn_loss_cls: 0.1073, RCNNLoss.rcnn_loss_bbox: 0.1586, SampledMaskLoss.rcnn_loss_mask: 0.3732 [06/20 06:45:02] Vis4D INFO: Epoch 3: 8100/9726, ETA: 0:14:29, 1.87it/s, loss: 0.6953, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.1046, RCNNLoss.rcnn_loss_bbox: 0.1611, SampledMaskLoss.rcnn_loss_mask: 0.3897 [06/20 06:45:27] Vis4D INFO: Epoch 3: 8150/9726, ETA: 0:14:02, 1.87it/s, loss: 0.7882, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1244, RCNNLoss.rcnn_loss_bbox: 0.1881, SampledMaskLoss.rcnn_loss_mask: 0.4359 [06/20 06:45:53] Vis4D INFO: Epoch 3: 8200/9726, ETA: 0:13:35, 1.87it/s, loss: 0.7232, RPNLoss.loss_cls: 0.0100, RPNLoss.loss_bbox: 0.0244, RCNNLoss.rcnn_loss_cls: 0.1141, RCNNLoss.rcnn_loss_bbox: 0.1769, SampledMaskLoss.rcnn_loss_mask: 0.3978 [06/20 06:46:19] Vis4D INFO: Epoch 3: 8250/9726, ETA: 0:13:08, 1.87it/s, loss: 0.7615, RPNLoss.loss_cls: 0.0175, RPNLoss.loss_bbox: 0.0322, RCNNLoss.rcnn_loss_cls: 0.1200, RCNNLoss.rcnn_loss_bbox: 0.1869, SampledMaskLoss.rcnn_loss_mask: 0.4050 [06/20 06:46:45] Vis4D INFO: Epoch 3: 8300/9726, ETA: 0:12:41, 1.87it/s, loss: 0.7789, RPNLoss.loss_cls: 0.0179, RPNLoss.loss_bbox: 0.0343, RCNNLoss.rcnn_loss_cls: 0.1244, RCNNLoss.rcnn_loss_bbox: 0.1846, SampledMaskLoss.rcnn_loss_mask: 0.4176 [06/20 06:47:11] Vis4D INFO: Epoch 3: 8350/9726, ETA: 0:12:14, 1.87it/s, loss: 0.7441, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1266, RCNNLoss.rcnn_loss_bbox: 0.1773, SampledMaskLoss.rcnn_loss_mask: 0.3968 [06/20 06:47:37] Vis4D INFO: Epoch 3: 8400/9726, ETA: 0:11:47, 1.87it/s, loss: 0.7803, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0331, RCNNLoss.rcnn_loss_cls: 0.1286, RCNNLoss.rcnn_loss_bbox: 0.1932, SampledMaskLoss.rcnn_loss_mask: 0.4138 [06/20 06:48:02] Vis4D INFO: Epoch 3: 8450/9726, ETA: 0:11:21, 1.87it/s, loss: 0.7697, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1283, RCNNLoss.rcnn_loss_bbox: 0.1967, SampledMaskLoss.rcnn_loss_mask: 0.3997 [06/20 06:48:28] Vis4D INFO: Epoch 3: 8500/9726, ETA: 0:10:54, 1.87it/s, loss: 0.7344, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1028, RCNNLoss.rcnn_loss_bbox: 0.1732, SampledMaskLoss.rcnn_loss_mask: 0.4162 [06/20 06:48:54] Vis4D INFO: Epoch 3: 8550/9726, ETA: 0:10:27, 1.87it/s, loss: 0.7271, RPNLoss.loss_cls: 0.0228, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.1212, RCNNLoss.rcnn_loss_bbox: 0.1772, SampledMaskLoss.rcnn_loss_mask: 0.3766 [06/20 06:49:20] Vis4D INFO: Epoch 3: 8600/9726, ETA: 0:10:00, 1.87it/s, loss: 0.7650, RPNLoss.loss_cls: 0.0202, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1242, RCNNLoss.rcnn_loss_bbox: 0.1862, SampledMaskLoss.rcnn_loss_mask: 0.4016 [06/20 06:49:46] Vis4D INFO: Epoch 3: 8650/9726, ETA: 0:09:33, 1.87it/s, loss: 0.7681, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1198, RCNNLoss.rcnn_loss_bbox: 0.1847, SampledMaskLoss.rcnn_loss_mask: 0.4220 [06/20 06:50:12] Vis4D INFO: Epoch 3: 8700/9726, ETA: 0:09:07, 1.88it/s, loss: 0.6875, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0266, RCNNLoss.rcnn_loss_cls: 0.1068, RCNNLoss.rcnn_loss_bbox: 0.1722, SampledMaskLoss.rcnn_loss_mask: 0.3676 [06/20 06:50:38] Vis4D INFO: Epoch 3: 8750/9726, ETA: 0:08:40, 1.88it/s, loss: 0.7930, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0322, RCNNLoss.rcnn_loss_cls: 0.1301, RCNNLoss.rcnn_loss_bbox: 0.1935, SampledMaskLoss.rcnn_loss_mask: 0.4228 [06/20 06:51:04] Vis4D INFO: Epoch 3: 8800/9726, ETA: 0:08:13, 1.88it/s, loss: 0.7606, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1176, RCNNLoss.rcnn_loss_bbox: 0.1778, SampledMaskLoss.rcnn_loss_mask: 0.4200 [06/20 06:51:29] Vis4D INFO: Epoch 3: 8850/9726, ETA: 0:07:46, 1.88it/s, loss: 0.8195, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0363, RCNNLoss.rcnn_loss_cls: 0.1378, RCNNLoss.rcnn_loss_bbox: 0.2130, SampledMaskLoss.rcnn_loss_mask: 0.4177 [06/20 06:51:54] Vis4D INFO: Epoch 3: 8900/9726, ETA: 0:07:20, 1.88it/s, loss: 0.7343, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.1130, RCNNLoss.rcnn_loss_bbox: 0.1818, SampledMaskLoss.rcnn_loss_mask: 0.4015 [06/20 06:52:19] Vis4D INFO: Epoch 3: 8950/9726, ETA: 0:06:53, 1.88it/s, loss: 0.6789, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.1016, RCNNLoss.rcnn_loss_bbox: 0.1718, SampledMaskLoss.rcnn_loss_mask: 0.3643 [06/20 06:52:44] Vis4D INFO: Epoch 3: 9000/9726, ETA: 0:06:26, 1.88it/s, loss: 0.7291, RPNLoss.loss_cls: 0.0163, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1207, RCNNLoss.rcnn_loss_bbox: 0.1783, SampledMaskLoss.rcnn_loss_mask: 0.3852 [06/20 06:53:10] Vis4D INFO: Epoch 3: 9050/9726, ETA: 0:05:59, 1.88it/s, loss: 0.7560, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1291, RCNNLoss.rcnn_loss_bbox: 0.1862, SampledMaskLoss.rcnn_loss_mask: 0.3919 [06/20 06:53:35] Vis4D INFO: Epoch 3: 9100/9726, ETA: 0:05:33, 1.88it/s, loss: 0.7892, RPNLoss.loss_cls: 0.0188, RPNLoss.loss_bbox: 0.0328, RCNNLoss.rcnn_loss_cls: 0.1302, RCNNLoss.rcnn_loss_bbox: 0.1923, SampledMaskLoss.rcnn_loss_mask: 0.4150 [06/20 06:54:01] Vis4D INFO: Epoch 3: 9150/9726, ETA: 0:05:06, 1.88it/s, loss: 0.7719, RPNLoss.loss_cls: 0.0197, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1228, RCNNLoss.rcnn_loss_bbox: 0.1822, SampledMaskLoss.rcnn_loss_mask: 0.4155 [06/20 06:54:26] Vis4D INFO: Epoch 3: 9200/9726, ETA: 0:04:39, 1.88it/s, loss: 0.6850, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.1042, RCNNLoss.rcnn_loss_bbox: 0.1598, SampledMaskLoss.rcnn_loss_mask: 0.3775 [06/20 06:54:52] Vis4D INFO: Epoch 3: 9250/9726, ETA: 0:04:13, 1.88it/s, loss: 0.7327, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1106, RCNNLoss.rcnn_loss_bbox: 0.1627, SampledMaskLoss.rcnn_loss_mask: 0.4182 [06/20 06:55:18] Vis4D INFO: Epoch 3: 9300/9726, ETA: 0:03:46, 1.88it/s, loss: 0.6837, RPNLoss.loss_cls: 0.0073, RPNLoss.loss_bbox: 0.0241, RCNNLoss.rcnn_loss_cls: 0.0944, RCNNLoss.rcnn_loss_bbox: 0.1541, SampledMaskLoss.rcnn_loss_mask: 0.4038 [06/20 06:55:44] Vis4D INFO: Epoch 3: 9350/9726, ETA: 0:03:19, 1.88it/s, loss: 0.7136, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.1162, RCNNLoss.rcnn_loss_bbox: 0.1757, SampledMaskLoss.rcnn_loss_mask: 0.3784 [06/20 06:56:10] Vis4D INFO: Epoch 3: 9400/9726, ETA: 0:02:53, 1.88it/s, loss: 0.7184, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.1175, RCNNLoss.rcnn_loss_bbox: 0.1709, SampledMaskLoss.rcnn_loss_mask: 0.3904 [06/20 06:56:35] Vis4D INFO: Epoch 3: 9450/9726, ETA: 0:02:26, 1.88it/s, loss: 0.7373, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1167, RCNNLoss.rcnn_loss_bbox: 0.1786, SampledMaskLoss.rcnn_loss_mask: 0.3990 [06/20 06:57:00] Vis4D INFO: Epoch 3: 9500/9726, ETA: 0:02:00, 1.88it/s, loss: 0.7491, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0351, RCNNLoss.rcnn_loss_cls: 0.1188, RCNNLoss.rcnn_loss_bbox: 0.1787, SampledMaskLoss.rcnn_loss_mask: 0.4009 [06/20 06:57:25] Vis4D INFO: Epoch 3: 9550/9726, ETA: 0:01:33, 1.88it/s, loss: 0.6712, RPNLoss.loss_cls: 0.0123, RPNLoss.loss_bbox: 0.0243, RCNNLoss.rcnn_loss_cls: 0.0979, RCNNLoss.rcnn_loss_bbox: 0.1537, SampledMaskLoss.rcnn_loss_mask: 0.3831 [06/20 06:57:50] Vis4D INFO: Epoch 3: 9600/9726, ETA: 0:01:06, 1.88it/s, loss: 0.7113, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.1023, RCNNLoss.rcnn_loss_bbox: 0.1625, SampledMaskLoss.rcnn_loss_mask: 0.4067 [06/20 06:58:16] Vis4D INFO: Epoch 3: 9650/9726, ETA: 0:00:40, 1.88it/s, loss: 0.7167, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1039, RCNNLoss.rcnn_loss_bbox: 0.1669, SampledMaskLoss.rcnn_loss_mask: 0.4013 [06/20 06:58:42] Vis4D INFO: Epoch 3: 9700/9726, ETA: 0:00:13, 1.88it/s, loss: 0.7537, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1193, RCNNLoss.rcnn_loss_bbox: 0.1839, SampledMaskLoss.rcnn_loss_mask: 0.4061 [06/20 06:59:15] Vis4D INFO: Testing: 50/1400, ETA: 0:08:32, 2.64it/s [06/20 06:59:32] Vis4D INFO: Testing: 100/1400, ETA: 0:07:51, 2.76it/s [06/20 06:59:44] Vis4D INFO: Testing: 150/1400, ETA: 0:06:38, 3.14it/s [06/20 06:59:57] Vis4D INFO: Testing: 200/1400, ETA: 0:06:09, 3.25it/s [06/20 07:00:13] Vis4D INFO: Testing: 250/1400, ETA: 0:05:55, 3.23it/s [06/20 07:00:24] Vis4D INFO: Testing: 300/1400, ETA: 0:05:21, 3.42it/s [06/20 07:00:33] Vis4D INFO: Testing: 350/1400, ETA: 0:04:51, 3.60it/s [06/20 07:00:50] Vis4D INFO: Testing: 400/1400, ETA: 0:04:45, 3.51it/s [06/20 07:01:07] Vis4D INFO: Testing: 450/1400, ETA: 0:04:36, 3.43it/s [06/20 07:01:19] Vis4D INFO: Testing: 500/1400, ETA: 0:04:18, 3.49it/s [06/20 07:01:35] Vis4D INFO: Testing: 550/1400, ETA: 0:04:05, 3.46it/s [06/20 07:01:59] Vis4D INFO: Testing: 600/1400, ETA: 0:04:03, 3.28it/s [06/20 07:02:15] Vis4D INFO: Testing: 650/1400, ETA: 0:03:49, 3.26it/s [06/20 07:02:26] Vis4D INFO: Testing: 700/1400, ETA: 0:03:29, 3.34it/s [06/20 07:02:40] Vis4D INFO: Testing: 750/1400, ETA: 0:03:14, 3.34it/s [06/20 07:02:50] Vis4D INFO: Testing: 800/1400, ETA: 0:02:55, 3.43it/s [06/20 07:03:03] Vis4D INFO: Testing: 850/1400, ETA: 0:02:39, 3.44it/s [06/20 07:03:15] Vis4D INFO: Testing: 900/1400, ETA: 0:02:23, 3.48it/s [06/20 07:03:32] Vis4D INFO: Testing: 950/1400, ETA: 0:02:10, 3.44it/s [06/20 07:03:43] Vis4D INFO: Testing: 1000/1400, ETA: 0:01:54, 3.48it/s [06/20 07:03:56] Vis4D INFO: Testing: 1050/1400, ETA: 0:01:40, 3.49it/s [06/20 07:04:10] Vis4D INFO: Testing: 1100/1400, ETA: 0:01:25, 3.51it/s [06/20 07:04:26] Vis4D INFO: Testing: 1150/1400, ETA: 0:01:11, 3.49it/s [06/20 07:04:41] Vis4D INFO: Testing: 1200/1400, ETA: 0:00:57, 3.48it/s [06/20 07:04:53] Vis4D INFO: Testing: 1250/1400, ETA: 0:00:42, 3.50it/s [06/20 07:05:03] Vis4D INFO: Testing: 1300/1400, ETA: 0:00:28, 3.54it/s [06/20 07:05:19] Vis4D INFO: Testing: 1350/1400, ETA: 0:00:14, 3.53it/s [06/20 07:05:33] Vis4D INFO: Testing: 1400/1400, ETA: 0:00:00, 3.53it/s [06/20 07:05:33] Vis4D INFO: Running evaluator Scalabel Tracking Evaluator... [06/20 07:05:52] Vis4D INFO: Det/AP: 37.7479 [06/20 07:05:52] Vis4D INFO: Det/AP50: 58.1403 [06/20 07:05:52] Vis4D INFO: Det/AP75: 42.8955 [06/20 07:05:52] Vis4D INFO: Det/APs: 21.5767 [06/20 07:05:52] Vis4D INFO: Det/APm: 63.3734 [06/20 07:05:52] Vis4D INFO: Det/APl: 78.5634 [06/20 07:05:52] Vis4D INFO: Det/AR1: 28.8782 [06/20 07:05:52] Vis4D INFO: Det/AR10: 43.1578 [06/20 07:05:52] Vis4D INFO: Det/AR100: 44.0072 [06/20 07:05:52] Vis4D INFO: Det/ARs: 28.7425 [06/20 07:05:52] Vis4D INFO: Det/ARm: 69.8900 [06/20 07:05:52] Vis4D INFO: Det/ARl: 82.7380 [06/20 07:05:52] Vis4D INFO: Det/AP/pedestrian: 37.5289 [06/20 07:05:52] Vis4D INFO: Det/AP/car: 44.1701 [06/20 07:05:52] Vis4D INFO: Det/AP/truck: 37.7677 [06/20 07:05:52] Vis4D INFO: Det/AP/bus: 34.1407 [06/20 07:05:52] Vis4D INFO: Det/AP/motorcycle: 40.3107 [06/20 07:05:52] Vis4D INFO: Det/AP/bicycle: 32.5693 [06/20 07:05:52] Vis4D INFO: Showing evaluation results for Det [06/20 07:05:52] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl --------------------------------------------------------------------------- pedestrian 37.5 62.9 40.0 27.7 72.1 82.1 11.4 38.5 42.6 33.9 77.0 85.5 car 44.2 64.3 49.7 25.7 63.7 83.2 19.3 48.2 49.2 31.2 69.9 86.9 truck 37.8 62.1 42.2 17.8 56.3 74.8 31.0 45.0 45.0 27.2 62.8 80.1 bus 34.1 51.2 38.3 23.1 67.9 83.3 37.4 42.9 42.9 32.8 74.4 88.8 motorcycle 40.3 57.6 49.3 20.7 69.1 74.6 38.5 44.5 44.5 25.3 73.8 77.6 bicycle 32.6 50.8 37.8 14.5 51.2 73.3 35.6 39.8 39.8 22.1 61.5 77.4 --------------------------------------------------------------------------- OVERALL 37.7 58.1 42.9 21.6 63.4 78.6 28.9 43.2 44.0 28.7 69.9 82.7 [06/20 07:06:11] Vis4D INFO: InsSeg/AP: 0.6080 [06/20 07:06:11] Vis4D INFO: InsSeg/AP50: 0.8057 [06/20 07:06:11] Vis4D INFO: InsSeg/AP75: 0.6424 [06/20 07:06:11] Vis4D INFO: InsSeg/APs: 0.2181 [06/20 07:06:11] Vis4D INFO: InsSeg/APm: 0.7087 [06/20 07:06:11] Vis4D INFO: InsSeg/APl: 0.8828 [06/20 07:06:11] Vis4D INFO: InsSeg/AR1: 0.2272 [06/20 07:06:11] Vis4D INFO: InsSeg/AR10: 0.2748 [06/20 07:06:11] Vis4D INFO: InsSeg/AR100: 0.2748 [06/20 07:06:11] Vis4D INFO: InsSeg/ARs: 0.1319 [06/20 07:06:11] Vis4D INFO: InsSeg/ARm: 0.5798 [06/20 07:06:11] Vis4D INFO: InsSeg/ARl: 0.6818 [06/20 07:06:11] Vis4D INFO: InsSeg/AP/pedestrian: 0.4208 [06/20 07:06:11] Vis4D INFO: InsSeg/AP/car: 1.4452 [06/20 07:06:11] Vis4D INFO: InsSeg/AP/truck: 0.8911 [06/20 07:06:11] Vis4D INFO: InsSeg/AP/bus: 0.8911 [06/20 07:06:11] Vis4D INFO: InsSeg/AP/motorcycle: 0.0000 [06/20 07:06:11] Vis4D INFO: InsSeg/AP/bicycle: 0.0000 [06/20 07:06:11] Vis4D INFO: Showing evaluation results for InsSeg [06/20 07:06:11] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl -------------------------------------------------------------------------- pedestrian 0.4 1.0 0.1 0.4 1.0 0.0 0.2 0.2 0.2 0.1 0.9 0.0 car 1.4 1.9 1.8 0.9 2.2 2.7 0.9 1.1 1.1 0.6 1.8 2.4 truck 0.9 1.0 1.0 0.0 0.0 2.6 0.2 0.2 0.2 0.0 0.0 1.7 bus 0.9 1.0 1.0 0.0 1.1 0.0 0.1 0.1 0.1 0.0 0.8 0.0 motorcycle 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 bicycle 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -------------------------------------------------------------------------- OVERALL 0.6 0.8 0.6 0.2 0.7 0.9 0.2 0.3 0.3 0.1 0.6 0.7 [06/20 07:06:43] Vis4D INFO: Epoch 4: 50/9726, ETA: 1:38:54, 1.63it/s, loss: 0.7176, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.1132, RCNNLoss.rcnn_loss_bbox: 0.1686, SampledMaskLoss.rcnn_loss_mask: 0.3900 [06/20 07:07:10] Vis4D INFO: Epoch 4: 100/9726, ETA: 1:31:53, 1.75it/s, loss: 0.7155, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0351, RCNNLoss.rcnn_loss_cls: 0.1111, RCNNLoss.rcnn_loss_bbox: 0.1780, SampledMaskLoss.rcnn_loss_mask: 0.3785 [06/20 07:07:37] Vis4D INFO: Epoch 4: 150/9726, ETA: 1:30:09, 1.77it/s, loss: 0.8184, RPNLoss.loss_cls: 0.0222, RPNLoss.loss_bbox: 0.0386, RCNNLoss.rcnn_loss_cls: 0.1264, RCNNLoss.rcnn_loss_bbox: 0.1895, SampledMaskLoss.rcnn_loss_mask: 0.4418 [06/20 07:08:02] Vis4D INFO: Epoch 4: 200/9726, ETA: 1:26:46, 1.83it/s, loss: 0.6876, RPNLoss.loss_cls: 0.0102, RPNLoss.loss_bbox: 0.0234, RCNNLoss.rcnn_loss_cls: 0.0978, RCNNLoss.rcnn_loss_bbox: 0.1564, SampledMaskLoss.rcnn_loss_mask: 0.3998 [06/20 07:08:30] Vis4D INFO: Epoch 4: 250/9726, ETA: 1:26:37, 1.82it/s, loss: 0.6847, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0239, RCNNLoss.rcnn_loss_cls: 0.1066, RCNNLoss.rcnn_loss_bbox: 0.1649, SampledMaskLoss.rcnn_loss_mask: 0.3781 [06/20 07:08:57] Vis4D INFO: Epoch 4: 300/9726, ETA: 1:25:55, 1.83it/s, loss: 0.7981, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0339, RCNNLoss.rcnn_loss_cls: 0.1380, RCNNLoss.rcnn_loss_bbox: 0.2200, SampledMaskLoss.rcnn_loss_mask: 0.3932 [06/20 07:09:23] Vis4D INFO: Epoch 4: 350/9726, ETA: 1:25:03, 1.84it/s, loss: 0.7287, RPNLoss.loss_cls: 0.0174, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1167, RCNNLoss.rcnn_loss_bbox: 0.1782, SampledMaskLoss.rcnn_loss_mask: 0.3887 [06/20 07:09:49] Vis4D INFO: Epoch 4: 400/9726, ETA: 1:24:05, 1.85it/s, loss: 0.7393, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1240, RCNNLoss.rcnn_loss_bbox: 0.1858, SampledMaskLoss.rcnn_loss_mask: 0.3871 [06/20 07:10:16] Vis4D INFO: Epoch 4: 450/9726, ETA: 1:23:30, 1.85it/s, loss: 0.7536, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0287, RCNNLoss.rcnn_loss_cls: 0.1054, RCNNLoss.rcnn_loss_bbox: 0.1692, SampledMaskLoss.rcnn_loss_mask: 0.4315 [06/20 07:10:41] Vis4D INFO: Epoch 4: 500/9726, ETA: 1:22:26, 1.87it/s, loss: 0.7618, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1140, RCNNLoss.rcnn_loss_bbox: 0.1660, SampledMaskLoss.rcnn_loss_mask: 0.4378 [06/20 07:11:07] Vis4D INFO: Epoch 4: 550/9726, ETA: 1:22:01, 1.86it/s, loss: 0.8389, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0373, RCNNLoss.rcnn_loss_cls: 0.1364, RCNNLoss.rcnn_loss_bbox: 0.2103, SampledMaskLoss.rcnn_loss_mask: 0.4416 [06/20 07:11:32] Vis4D INFO: Epoch 4: 600/9726, ETA: 1:21:00, 1.88it/s, loss: 0.7604, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0287, RCNNLoss.rcnn_loss_cls: 0.1262, RCNNLoss.rcnn_loss_bbox: 0.1808, SampledMaskLoss.rcnn_loss_mask: 0.4096 [06/20 07:11:56] Vis4D INFO: Epoch 4: 650/9726, ETA: 1:20:03, 1.89it/s, loss: 0.7776, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1272, RCNNLoss.rcnn_loss_bbox: 0.1975, SampledMaskLoss.rcnn_loss_mask: 0.4055 [06/20 07:12:23] Vis4D INFO: Epoch 4: 700/9726, ETA: 1:19:33, 1.89it/s, loss: 0.7909, RPNLoss.loss_cls: 0.0176, RPNLoss.loss_bbox: 0.0373, RCNNLoss.rcnn_loss_cls: 0.1306, RCNNLoss.rcnn_loss_bbox: 0.1995, SampledMaskLoss.rcnn_loss_mask: 0.4058 [06/20 07:12:47] Vis4D INFO: Epoch 4: 750/9726, ETA: 1:18:44, 1.90it/s, loss: 0.7376, RPNLoss.loss_cls: 0.0154, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.1172, RCNNLoss.rcnn_loss_bbox: 0.1822, SampledMaskLoss.rcnn_loss_mask: 0.3960 [06/20 07:13:15] Vis4D INFO: Epoch 4: 800/9726, ETA: 1:18:35, 1.89it/s, loss: 0.6955, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.1098, RCNNLoss.rcnn_loss_bbox: 0.1766, SampledMaskLoss.rcnn_loss_mask: 0.3665 [06/20 07:13:41] Vis4D INFO: Epoch 4: 850/9726, ETA: 1:18:04, 1.89it/s, loss: 0.7730, RPNLoss.loss_cls: 0.0121, RPNLoss.loss_bbox: 0.0362, RCNNLoss.rcnn_loss_cls: 0.1324, RCNNLoss.rcnn_loss_bbox: 0.2041, SampledMaskLoss.rcnn_loss_mask: 0.3883 [06/20 07:14:07] Vis4D INFO: Epoch 4: 900/9726, ETA: 1:17:29, 1.90it/s, loss: 0.7331, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1094, RCNNLoss.rcnn_loss_bbox: 0.1689, SampledMaskLoss.rcnn_loss_mask: 0.4144 [06/20 07:14:37] Vis4D INFO: Epoch 4: 950/9726, ETA: 1:17:37, 1.88it/s, loss: 0.7375, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1138, RCNNLoss.rcnn_loss_bbox: 0.1758, SampledMaskLoss.rcnn_loss_mask: 0.4049 [06/20 07:15:03] Vis4D INFO: Epoch 4: 1000/9726, ETA: 1:17:05, 1.89it/s, loss: 0.7209, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1101, RCNNLoss.rcnn_loss_bbox: 0.1735, SampledMaskLoss.rcnn_loss_mask: 0.3964 [06/20 07:15:31] Vis4D INFO: Epoch 4: 1050/9726, ETA: 1:16:54, 1.88it/s, loss: 0.7394, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0312, RCNNLoss.rcnn_loss_cls: 0.1276, RCNNLoss.rcnn_loss_bbox: 0.1879, SampledMaskLoss.rcnn_loss_mask: 0.3794 [06/20 07:15:59] Vis4D INFO: Epoch 4: 1100/9726, ETA: 1:16:38, 1.88it/s, loss: 0.7348, RPNLoss.loss_cls: 0.0102, RPNLoss.loss_bbox: 0.0259, RCNNLoss.rcnn_loss_cls: 0.1115, RCNNLoss.rcnn_loss_bbox: 0.1757, SampledMaskLoss.rcnn_loss_mask: 0.4115 [06/20 07:16:25] Vis4D INFO: Epoch 4: 1150/9726, ETA: 1:16:10, 1.88it/s, loss: 0.7146, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0252, RCNNLoss.rcnn_loss_cls: 0.1000, RCNNLoss.rcnn_loss_bbox: 0.1663, SampledMaskLoss.rcnn_loss_mask: 0.4097 [06/20 07:16:55] Vis4D INFO: Epoch 4: 1200/9726, ETA: 1:16:02, 1.87it/s, loss: 0.7331, RPNLoss.loss_cls: 0.0117, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1164, RCNNLoss.rcnn_loss_bbox: 0.1766, SampledMaskLoss.rcnn_loss_mask: 0.3979 [06/20 07:17:23] Vis4D INFO: Epoch 4: 1250/9726, ETA: 1:15:43, 1.87it/s, loss: 0.7249, RPNLoss.loss_cls: 0.0110, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1199, RCNNLoss.rcnn_loss_bbox: 0.1868, SampledMaskLoss.rcnn_loss_mask: 0.3761 [06/20 07:17:50] Vis4D INFO: Epoch 4: 1300/9726, ETA: 1:15:21, 1.86it/s, loss: 0.7221, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1240, RCNNLoss.rcnn_loss_bbox: 0.1876, SampledMaskLoss.rcnn_loss_mask: 0.3655 [06/20 07:18:17] Vis4D INFO: Epoch 4: 1350/9726, ETA: 1:14:53, 1.86it/s, loss: 0.7014, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0305, RCNNLoss.rcnn_loss_cls: 0.1148, RCNNLoss.rcnn_loss_bbox: 0.1839, SampledMaskLoss.rcnn_loss_mask: 0.3606 [06/20 07:18:43] Vis4D INFO: Epoch 4: 1400/9726, ETA: 1:14:20, 1.87it/s, loss: 0.7473, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.1187, RCNNLoss.rcnn_loss_bbox: 0.1740, SampledMaskLoss.rcnn_loss_mask: 0.4115 [06/20 07:19:13] Vis4D INFO: Epoch 4: 1450/9726, ETA: 1:14:13, 1.86it/s, loss: 0.7730, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0355, RCNNLoss.rcnn_loss_cls: 0.1173, RCNNLoss.rcnn_loss_bbox: 0.1977, SampledMaskLoss.rcnn_loss_mask: 0.4109 [06/20 07:19:39] Vis4D INFO: Epoch 4: 1500/9726, ETA: 1:13:43, 1.86it/s, loss: 0.7654, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1206, RCNNLoss.rcnn_loss_bbox: 0.1825, SampledMaskLoss.rcnn_loss_mask: 0.4174 [06/20 07:20:06] Vis4D INFO: Epoch 4: 1550/9726, ETA: 1:13:14, 1.86it/s, loss: 0.7473, RPNLoss.loss_cls: 0.0159, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1225, RCNNLoss.rcnn_loss_bbox: 0.1831, SampledMaskLoss.rcnn_loss_mask: 0.3973 [06/20 07:20:35] Vis4D INFO: Epoch 4: 1600/9726, ETA: 1:13:01, 1.85it/s, loss: 0.7879, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1198, RCNNLoss.rcnn_loss_bbox: 0.1835, SampledMaskLoss.rcnn_loss_mask: 0.4396 [06/20 07:21:05] Vis4D INFO: Epoch 4: 1650/9726, ETA: 1:12:49, 1.85it/s, loss: 0.8202, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0341, RCNNLoss.rcnn_loss_cls: 0.1299, RCNNLoss.rcnn_loss_bbox: 0.2062, SampledMaskLoss.rcnn_loss_mask: 0.4354 [06/20 07:21:34] Vis4D INFO: Epoch 4: 1700/9726, ETA: 1:12:29, 1.85it/s, loss: 0.7713, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0325, RCNNLoss.rcnn_loss_cls: 0.1213, RCNNLoss.rcnn_loss_bbox: 0.1916, SampledMaskLoss.rcnn_loss_mask: 0.4088 [06/20 07:21:59] Vis4D INFO: Epoch 4: 1750/9726, ETA: 1:11:55, 1.85it/s, loss: 0.6869, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0260, RCNNLoss.rcnn_loss_cls: 0.1025, RCNNLoss.rcnn_loss_bbox: 0.1575, SampledMaskLoss.rcnn_loss_mask: 0.3849 [06/20 07:22:27] Vis4D INFO: Epoch 4: 1800/9726, ETA: 1:11:31, 1.85it/s, loss: 0.7034, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1162, RCNNLoss.rcnn_loss_bbox: 0.1833, SampledMaskLoss.rcnn_loss_mask: 0.3588 [06/20 07:22:51] Vis4D INFO: Epoch 4: 1850/9726, ETA: 1:10:49, 1.85it/s, loss: 0.7268, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.1215, RCNNLoss.rcnn_loss_bbox: 0.1748, SampledMaskLoss.rcnn_loss_mask: 0.3913 [06/20 07:23:16] Vis4D INFO: Epoch 4: 1900/9726, ETA: 1:10:15, 1.86it/s, loss: 0.7155, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1196, RCNNLoss.rcnn_loss_bbox: 0.1748, SampledMaskLoss.rcnn_loss_mask: 0.3803 [06/20 07:23:42] Vis4D INFO: Epoch 4: 1950/9726, ETA: 1:09:46, 1.86it/s, loss: 0.6884, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0328, RCNNLoss.rcnn_loss_cls: 0.1151, RCNNLoss.rcnn_loss_bbox: 0.1693, SampledMaskLoss.rcnn_loss_mask: 0.3580 [06/20 07:24:09] Vis4D INFO: Epoch 4: 2000/9726, ETA: 1:09:20, 1.86it/s, loss: 0.7014, RPNLoss.loss_cls: 0.0094, RPNLoss.loss_bbox: 0.0254, RCNNLoss.rcnn_loss_cls: 0.1076, RCNNLoss.rcnn_loss_bbox: 0.1657, SampledMaskLoss.rcnn_loss_mask: 0.3932 [06/20 07:24:36] Vis4D INFO: Epoch 4: 2050/9726, ETA: 1:08:52, 1.86it/s, loss: 0.6812, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.1001, RCNNLoss.rcnn_loss_bbox: 0.1560, SampledMaskLoss.rcnn_loss_mask: 0.3876 [06/20 07:25:03] Vis4D INFO: Epoch 4: 2100/9726, ETA: 1:08:24, 1.86it/s, loss: 0.6991, RPNLoss.loss_cls: 0.0121, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.1031, RCNNLoss.rcnn_loss_bbox: 0.1589, SampledMaskLoss.rcnn_loss_mask: 0.3982 [06/20 07:25:29] Vis4D INFO: Epoch 4: 2150/9726, ETA: 1:07:56, 1.86it/s, loss: 0.7074, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0272, RCNNLoss.rcnn_loss_cls: 0.0979, RCNNLoss.rcnn_loss_bbox: 0.1462, SampledMaskLoss.rcnn_loss_mask: 0.4220 [06/20 07:25:58] Vis4D INFO: Epoch 4: 2200/9726, ETA: 1:07:34, 1.86it/s, loss: 0.7980, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1270, RCNNLoss.rcnn_loss_bbox: 0.1952, SampledMaskLoss.rcnn_loss_mask: 0.4329 [06/20 07:26:25] Vis4D INFO: Epoch 4: 2250/9726, ETA: 1:07:09, 1.86it/s, loss: 0.7133, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0271, RCNNLoss.rcnn_loss_cls: 0.1167, RCNNLoss.rcnn_loss_bbox: 0.1766, SampledMaskLoss.rcnn_loss_mask: 0.3819 [06/20 07:26:55] Vis4D INFO: Epoch 4: 2300/9726, ETA: 1:06:51, 1.85it/s, loss: 0.7462, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1216, RCNNLoss.rcnn_loss_bbox: 0.1842, SampledMaskLoss.rcnn_loss_mask: 0.3967 [06/20 07:27:23] Vis4D INFO: Epoch 4: 2350/9726, ETA: 1:06:27, 1.85it/s, loss: 0.6992, RPNLoss.loss_cls: 0.0204, RPNLoss.loss_bbox: 0.0314, RCNNLoss.rcnn_loss_cls: 0.1123, RCNNLoss.rcnn_loss_bbox: 0.1697, SampledMaskLoss.rcnn_loss_mask: 0.3654 [06/20 07:27:48] Vis4D INFO: Epoch 4: 2400/9726, ETA: 1:05:55, 1.85it/s, loss: 0.7594, RPNLoss.loss_cls: 0.0201, RPNLoss.loss_bbox: 0.0336, RCNNLoss.rcnn_loss_cls: 0.1262, RCNNLoss.rcnn_loss_bbox: 0.1868, SampledMaskLoss.rcnn_loss_mask: 0.3928 [06/20 07:28:15] Vis4D INFO: Epoch 4: 2450/9726, ETA: 1:05:28, 1.85it/s, loss: 0.7053, RPNLoss.loss_cls: 0.0176, RPNLoss.loss_bbox: 0.0244, RCNNLoss.rcnn_loss_cls: 0.1176, RCNNLoss.rcnn_loss_bbox: 0.1570, SampledMaskLoss.rcnn_loss_mask: 0.3887 [06/20 07:28:43] Vis4D INFO: Epoch 4: 2500/9726, ETA: 1:05:02, 1.85it/s, loss: 0.7162, RPNLoss.loss_cls: 0.0212, RPNLoss.loss_bbox: 0.0276, RCNNLoss.rcnn_loss_cls: 0.1163, RCNNLoss.rcnn_loss_bbox: 0.1714, SampledMaskLoss.rcnn_loss_mask: 0.3796 [06/20 07:29:29] Vis4D INFO: Epoch 4: 2550/9726, ETA: 1:05:29, 1.83it/s, loss: 0.7237, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1221, RCNNLoss.rcnn_loss_bbox: 0.1804, SampledMaskLoss.rcnn_loss_mask: 0.3753 [06/20 07:30:26] Vis4D INFO: Epoch 4: 2600/9726, ETA: 1:06:23, 1.79it/s, loss: 0.7280, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.1123, RCNNLoss.rcnn_loss_bbox: 0.1763, SampledMaskLoss.rcnn_loss_mask: 0.4016 [06/20 07:31:25] Vis4D INFO: Epoch 4: 2650/9726, ETA: 1:07:18, 1.75it/s, loss: 0.7185, RPNLoss.loss_cls: 0.0104, RPNLoss.loss_bbox: 0.0276, RCNNLoss.rcnn_loss_cls: 0.1143, RCNNLoss.rcnn_loss_bbox: 0.1793, SampledMaskLoss.rcnn_loss_mask: 0.3868 [06/20 07:32:10] Vis4D INFO: Epoch 4: 2700/9726, ETA: 1:07:32, 1.73it/s, loss: 0.7697, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1255, RCNNLoss.rcnn_loss_bbox: 0.1969, SampledMaskLoss.rcnn_loss_mask: 0.4076 [06/20 07:32:44] Vis4D INFO: Epoch 4: 2750/9726, ETA: 1:07:17, 1.73it/s, loss: 0.7750, RPNLoss.loss_cls: 0.0246, RPNLoss.loss_bbox: 0.0318, RCNNLoss.rcnn_loss_cls: 0.1322, RCNNLoss.rcnn_loss_bbox: 0.1923, SampledMaskLoss.rcnn_loss_mask: 0.3941 [06/20 07:33:15] Vis4D INFO: Epoch 4: 2800/9726, ETA: 1:06:54, 1.73it/s, loss: 0.6813, RPNLoss.loss_cls: 0.0121, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1118, RCNNLoss.rcnn_loss_bbox: 0.1755, SampledMaskLoss.rcnn_loss_mask: 0.3539 [06/20 07:33:49] Vis4D INFO: Epoch 4: 2850/9726, ETA: 1:06:35, 1.72it/s, loss: 0.7463, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1245, RCNNLoss.rcnn_loss_bbox: 0.1860, SampledMaskLoss.rcnn_loss_mask: 0.3919 [06/20 07:34:26] Vis4D INFO: Epoch 4: 2900/9726, ETA: 1:06:26, 1.71it/s, loss: 0.7889, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0347, RCNNLoss.rcnn_loss_cls: 0.1387, RCNNLoss.rcnn_loss_bbox: 0.2024, SampledMaskLoss.rcnn_loss_mask: 0.4003 [06/20 07:35:02] Vis4D INFO: Epoch 4: 2950/9726, ETA: 1:06:13, 1.71it/s, loss: 0.7497, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1172, RCNNLoss.rcnn_loss_bbox: 0.1863, SampledMaskLoss.rcnn_loss_mask: 0.4044 [06/20 07:35:35] Vis4D INFO: Epoch 4: 3000/9726, ETA: 1:05:50, 1.70it/s, loss: 0.6824, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1125, RCNNLoss.rcnn_loss_bbox: 0.1691, SampledMaskLoss.rcnn_loss_mask: 0.3576 [06/20 07:36:19] Vis4D INFO: Epoch 4: 3050/9726, ETA: 1:05:53, 1.69it/s, loss: 0.7537, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1177, RCNNLoss.rcnn_loss_bbox: 0.1803, SampledMaskLoss.rcnn_loss_mask: 0.4105 [06/20 07:36:51] Vis4D INFO: Epoch 4: 3100/9726, ETA: 1:05:29, 1.69it/s, loss: 0.7141, RPNLoss.loss_cls: 0.0168, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.1060, RCNNLoss.rcnn_loss_bbox: 0.1747, SampledMaskLoss.rcnn_loss_mask: 0.3902 [06/20 07:37:21] Vis4D INFO: Epoch 4: 3150/9726, ETA: 1:04:59, 1.69it/s, loss: 0.7106, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0287, RCNNLoss.rcnn_loss_cls: 0.1225, RCNNLoss.rcnn_loss_bbox: 0.1731, SampledMaskLoss.rcnn_loss_mask: 0.3709 [06/20 07:38:00] Vis4D INFO: Epoch 4: 3200/9726, ETA: 1:04:50, 1.68it/s, loss: 0.7317, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0283, RCNNLoss.rcnn_loss_cls: 0.1186, RCNNLoss.rcnn_loss_bbox: 0.1672, SampledMaskLoss.rcnn_loss_mask: 0.4040 [06/20 07:38:51] Vis4D INFO: Epoch 4: 3250/9726, ETA: 1:05:02, 1.66it/s, loss: 0.7170, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1143, RCNNLoss.rcnn_loss_bbox: 0.1765, SampledMaskLoss.rcnn_loss_mask: 0.3835 [06/20 07:39:38] Vis4D INFO: Epoch 4: 3300/9726, ETA: 1:05:05, 1.65it/s, loss: 0.7405, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1199, RCNNLoss.rcnn_loss_bbox: 0.1990, SampledMaskLoss.rcnn_loss_mask: 0.3774 [06/20 07:40:10] Vis4D INFO: Epoch 4: 3350/9726, ETA: 1:04:38, 1.64it/s, loss: 0.6859, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0281, RCNNLoss.rcnn_loss_cls: 0.1107, RCNNLoss.rcnn_loss_bbox: 0.1593, SampledMaskLoss.rcnn_loss_mask: 0.3725 [06/20 07:40:42] Vis4D INFO: Epoch 4: 3400/9726, ETA: 1:04:10, 1.64it/s, loss: 0.7526, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1247, RCNNLoss.rcnn_loss_bbox: 0.1885, SampledMaskLoss.rcnn_loss_mask: 0.3958 [06/20 07:41:14] Vis4D INFO: Epoch 4: 3450/9726, ETA: 1:03:42, 1.64it/s, loss: 0.7211, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1092, RCNNLoss.rcnn_loss_bbox: 0.1744, SampledMaskLoss.rcnn_loss_mask: 0.3949 [06/20 07:41:41] Vis4D INFO: Epoch 4: 3500/9726, ETA: 1:03:07, 1.64it/s, loss: 0.7083, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1153, RCNNLoss.rcnn_loss_bbox: 0.1740, SampledMaskLoss.rcnn_loss_mask: 0.3752 [06/20 07:42:11] Vis4D INFO: Epoch 4: 3550/9726, ETA: 1:02:34, 1.64it/s, loss: 0.7379, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.1067, RCNNLoss.rcnn_loss_bbox: 0.1725, SampledMaskLoss.rcnn_loss_mask: 0.4196 [06/20 07:42:39] Vis4D INFO: Epoch 4: 3600/9726, ETA: 1:01:59, 1.65it/s, loss: 0.6874, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0283, RCNNLoss.rcnn_loss_cls: 0.1059, RCNNLoss.rcnn_loss_bbox: 0.1647, SampledMaskLoss.rcnn_loss_mask: 0.3748 [06/20 07:43:06] Vis4D INFO: Epoch 4: 3650/9726, ETA: 1:01:24, 1.65it/s, loss: 0.7571, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1196, RCNNLoss.rcnn_loss_bbox: 0.1802, SampledMaskLoss.rcnn_loss_mask: 0.4125 [06/20 07:43:36] Vis4D INFO: Epoch 4: 3700/9726, ETA: 1:00:54, 1.65it/s, loss: 0.7428, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1193, RCNNLoss.rcnn_loss_bbox: 0.1979, SampledMaskLoss.rcnn_loss_mask: 0.3832 [06/20 07:44:15] Vis4D INFO: Epoch 4: 3750/9726, ETA: 1:00:36, 1.64it/s, loss: 0.7221, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1128, RCNNLoss.rcnn_loss_bbox: 0.1779, SampledMaskLoss.rcnn_loss_mask: 0.3892 [06/20 07:44:57] Vis4D INFO: Epoch 4: 3800/9726, ETA: 1:00:24, 1.63it/s, loss: 0.7653, RPNLoss.loss_cls: 0.0199, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1256, RCNNLoss.rcnn_loss_bbox: 0.1824, SampledMaskLoss.rcnn_loss_mask: 0.4071 [06/20 07:45:34] Vis4D INFO: Epoch 4: 3850/9726, ETA: 1:00:04, 1.63it/s, loss: 0.6663, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0272, RCNNLoss.rcnn_loss_cls: 0.1044, RCNNLoss.rcnn_loss_bbox: 0.1723, SampledMaskLoss.rcnn_loss_mask: 0.3500 [06/20 07:46:09] Vis4D INFO: Epoch 4: 3900/9726, ETA: 0:59:40, 1.63it/s, loss: 0.7657, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1129, RCNNLoss.rcnn_loss_bbox: 0.1771, SampledMaskLoss.rcnn_loss_mask: 0.4307 [06/20 07:46:52] Vis4D INFO: Epoch 4: 3950/9726, ETA: 0:59:27, 1.62it/s, loss: 0.7518, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0356, RCNNLoss.rcnn_loss_cls: 0.1230, RCNNLoss.rcnn_loss_bbox: 0.1911, SampledMaskLoss.rcnn_loss_mask: 0.3886 [06/20 07:47:35] Vis4D INFO: Epoch 4: 4000/9726, ETA: 0:59:13, 1.61it/s, loss: 0.7220, RPNLoss.loss_cls: 0.0102, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1138, RCNNLoss.rcnn_loss_bbox: 0.1747, SampledMaskLoss.rcnn_loss_mask: 0.3952 [06/20 07:48:21] Vis4D INFO: Epoch 4: 4050/9726, ETA: 0:59:03, 1.60it/s, loss: 0.6991, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1071, RCNNLoss.rcnn_loss_bbox: 0.1782, SampledMaskLoss.rcnn_loss_mask: 0.3672 [06/20 07:49:08] Vis4D INFO: Epoch 4: 4100/9726, ETA: 0:58:54, 1.59it/s, loss: 0.7422, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0318, RCNNLoss.rcnn_loss_cls: 0.1147, RCNNLoss.rcnn_loss_bbox: 0.1686, SampledMaskLoss.rcnn_loss_mask: 0.4099 [06/20 07:49:49] Vis4D INFO: Epoch 4: 4150/9726, ETA: 0:58:35, 1.59it/s, loss: 0.6950, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0261, RCNNLoss.rcnn_loss_cls: 0.1103, RCNNLoss.rcnn_loss_bbox: 0.1713, SampledMaskLoss.rcnn_loss_mask: 0.3748 [06/20 07:50:21] Vis4D INFO: Epoch 4: 4200/9726, ETA: 0:58:05, 1.59it/s, loss: 0.7401, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.1181, RCNNLoss.rcnn_loss_bbox: 0.1743, SampledMaskLoss.rcnn_loss_mask: 0.4049 [06/20 07:50:52] Vis4D INFO: Epoch 4: 4250/9726, ETA: 0:57:32, 1.59it/s, loss: 0.7290, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0305, RCNNLoss.rcnn_loss_cls: 0.1132, RCNNLoss.rcnn_loss_bbox: 0.1767, SampledMaskLoss.rcnn_loss_mask: 0.3960 [06/20 07:51:22] Vis4D INFO: Epoch 4: 4300/9726, ETA: 0:56:58, 1.59it/s, loss: 0.7448, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1253, RCNNLoss.rcnn_loss_bbox: 0.1896, SampledMaskLoss.rcnn_loss_mask: 0.3818 [06/20 07:51:53] Vis4D INFO: Epoch 4: 4350/9726, ETA: 0:56:26, 1.59it/s, loss: 0.7361, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1195, RCNNLoss.rcnn_loss_bbox: 0.1784, SampledMaskLoss.rcnn_loss_mask: 0.3944 [06/20 07:52:36] Vis4D INFO: Epoch 4: 4400/9726, ETA: 0:56:09, 1.58it/s, loss: 0.6684, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.0995, RCNNLoss.rcnn_loss_bbox: 0.1519, SampledMaskLoss.rcnn_loss_mask: 0.3741 [06/20 07:53:11] Vis4D INFO: Epoch 4: 4450/9726, ETA: 0:55:41, 1.58it/s, loss: 0.7333, RPNLoss.loss_cls: 0.0277, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1183, RCNNLoss.rcnn_loss_bbox: 0.1638, SampledMaskLoss.rcnn_loss_mask: 0.3918 [06/20 07:53:40] Vis4D INFO: Epoch 4: 4500/9726, ETA: 0:55:07, 1.58it/s, loss: 0.7244, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1166, RCNNLoss.rcnn_loss_bbox: 0.1750, SampledMaskLoss.rcnn_loss_mask: 0.3885 [06/20 07:54:12] Vis4D INFO: Epoch 4: 4550/9726, ETA: 0:54:35, 1.58it/s, loss: 0.7395, RPNLoss.loss_cls: 0.0167, RPNLoss.loss_bbox: 0.0333, RCNNLoss.rcnn_loss_cls: 0.1146, RCNNLoss.rcnn_loss_bbox: 0.1876, SampledMaskLoss.rcnn_loss_mask: 0.3873 [06/20 07:54:42] Vis4D INFO: Epoch 4: 4600/9726, ETA: 0:54:02, 1.58it/s, loss: 0.7082, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1165, RCNNLoss.rcnn_loss_bbox: 0.1733, SampledMaskLoss.rcnn_loss_mask: 0.3736 [06/20 07:55:17] Vis4D INFO: Epoch 4: 4650/9726, ETA: 0:53:34, 1.58it/s, loss: 0.7392, RPNLoss.loss_cls: 0.0157, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1176, RCNNLoss.rcnn_loss_bbox: 0.1858, SampledMaskLoss.rcnn_loss_mask: 0.3878 [06/20 07:55:51] Vis4D INFO: Epoch 4: 4700/9726, ETA: 0:53:05, 1.58it/s, loss: 0.6984, RPNLoss.loss_cls: 0.0175, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.1072, RCNNLoss.rcnn_loss_bbox: 0.1656, SampledMaskLoss.rcnn_loss_mask: 0.3808 [06/20 07:56:32] Vis4D INFO: Epoch 4: 4750/9726, ETA: 0:52:43, 1.57it/s, loss: 0.7663, RPNLoss.loss_cls: 0.0192, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1273, RCNNLoss.rcnn_loss_bbox: 0.1862, SampledMaskLoss.rcnn_loss_mask: 0.4013 [06/20 07:56:58] Vis4D INFO: Epoch 4: 4800/9726, ETA: 0:52:05, 1.58it/s, loss: 0.6975, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0254, RCNNLoss.rcnn_loss_cls: 0.1072, RCNNLoss.rcnn_loss_bbox: 0.1604, SampledMaskLoss.rcnn_loss_mask: 0.3908 [06/20 07:57:25] Vis4D INFO: Epoch 4: 4850/9726, ETA: 0:51:28, 1.58it/s, loss: 0.6718, RPNLoss.loss_cls: 0.0157, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.1135, RCNNLoss.rcnn_loss_bbox: 0.1691, SampledMaskLoss.rcnn_loss_mask: 0.3461 [06/20 07:57:59] Vis4D INFO: Epoch 4: 4900/9726, ETA: 0:50:59, 1.58it/s, loss: 0.7586, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0361, RCNNLoss.rcnn_loss_cls: 0.1270, RCNNLoss.rcnn_loss_bbox: 0.2004, SampledMaskLoss.rcnn_loss_mask: 0.3803 [06/20 07:58:27] Vis4D INFO: Epoch 4: 4950/9726, ETA: 0:50:24, 1.58it/s, loss: 0.7757, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0348, RCNNLoss.rcnn_loss_cls: 0.1342, RCNNLoss.rcnn_loss_bbox: 0.2116, SampledMaskLoss.rcnn_loss_mask: 0.3806 [06/20 07:58:55] Vis4D INFO: Epoch 4: 5000/9726, ETA: 0:49:49, 1.58it/s, loss: 0.7137, RPNLoss.loss_cls: 0.0162, RPNLoss.loss_bbox: 0.0260, RCNNLoss.rcnn_loss_cls: 0.1167, RCNNLoss.rcnn_loss_bbox: 0.1680, SampledMaskLoss.rcnn_loss_mask: 0.3867 [06/20 07:59:23] Vis4D INFO: Epoch 4: 5050/9726, ETA: 0:49:14, 1.58it/s, loss: 0.7315, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0287, RCNNLoss.rcnn_loss_cls: 0.1167, RCNNLoss.rcnn_loss_bbox: 0.1792, SampledMaskLoss.rcnn_loss_mask: 0.3949 [06/20 07:59:52] Vis4D INFO: Epoch 4: 5100/9726, ETA: 0:48:40, 1.58it/s, loss: 0.6903, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1178, RCNNLoss.rcnn_loss_bbox: 0.1846, SampledMaskLoss.rcnn_loss_mask: 0.3468 [06/20 08:00:21] Vis4D INFO: Epoch 4: 5150/9726, ETA: 0:48:06, 1.59it/s, loss: 0.6392, RPNLoss.loss_cls: 0.0103, RPNLoss.loss_bbox: 0.0223, RCNNLoss.rcnn_loss_cls: 0.0913, RCNNLoss.rcnn_loss_bbox: 0.1445, SampledMaskLoss.rcnn_loss_mask: 0.3707 [06/20 08:00:51] Vis4D INFO: Epoch 4: 5200/9726, ETA: 0:47:33, 1.59it/s, loss: 0.7238, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1162, RCNNLoss.rcnn_loss_bbox: 0.1767, SampledMaskLoss.rcnn_loss_mask: 0.3859 [06/20 08:01:22] Vis4D INFO: Epoch 4: 5250/9726, ETA: 0:47:01, 1.59it/s, loss: 0.7596, RPNLoss.loss_cls: 0.0179, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.1193, RCNNLoss.rcnn_loss_bbox: 0.1760, SampledMaskLoss.rcnn_loss_mask: 0.4177 [06/20 08:01:55] Vis4D INFO: Epoch 4: 5300/9726, ETA: 0:46:31, 1.59it/s, loss: 0.7114, RPNLoss.loss_cls: 0.0161, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1177, RCNNLoss.rcnn_loss_bbox: 0.1738, SampledMaskLoss.rcnn_loss_mask: 0.3739 [06/20 08:02:24] Vis4D INFO: Epoch 4: 5350/9726, ETA: 0:45:57, 1.59it/s, loss: 0.7255, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1206, RCNNLoss.rcnn_loss_bbox: 0.1810, SampledMaskLoss.rcnn_loss_mask: 0.3794 [06/20 08:02:53] Vis4D INFO: Epoch 4: 5400/9726, ETA: 0:45:24, 1.59it/s, loss: 0.7284, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0287, RCNNLoss.rcnn_loss_cls: 0.1126, RCNNLoss.rcnn_loss_bbox: 0.1841, SampledMaskLoss.rcnn_loss_mask: 0.3895 [06/20 08:03:23] Vis4D INFO: Epoch 4: 5450/9726, ETA: 0:44:51, 1.59it/s, loss: 0.8162, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0389, RCNNLoss.rcnn_loss_cls: 0.1449, RCNNLoss.rcnn_loss_bbox: 0.2191, SampledMaskLoss.rcnn_loss_mask: 0.3974 [06/20 08:03:50] Vis4D INFO: Epoch 4: 5500/9726, ETA: 0:44:16, 1.59it/s, loss: 0.6748, RPNLoss.loss_cls: 0.0103, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.1020, RCNNLoss.rcnn_loss_bbox: 0.1582, SampledMaskLoss.rcnn_loss_mask: 0.3827 [06/20 08:04:17] Vis4D INFO: Epoch 4: 5550/9726, ETA: 0:43:42, 1.59it/s, loss: 0.7596, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.1088, RCNNLoss.rcnn_loss_bbox: 0.1734, SampledMaskLoss.rcnn_loss_mask: 0.4389 [06/20 08:04:45] Vis4D INFO: Epoch 4: 5600/9726, ETA: 0:43:07, 1.59it/s, loss: 0.7482, RPNLoss.loss_cls: 0.0229, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1150, RCNNLoss.rcnn_loss_bbox: 0.1786, SampledMaskLoss.rcnn_loss_mask: 0.4026 [06/20 08:05:11] Vis4D INFO: Epoch 4: 5650/9726, ETA: 0:42:32, 1.60it/s, loss: 0.7099, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0287, RCNNLoss.rcnn_loss_cls: 0.1213, RCNNLoss.rcnn_loss_bbox: 0.1811, SampledMaskLoss.rcnn_loss_mask: 0.3632 [06/20 08:05:38] Vis4D INFO: Epoch 4: 5700/9726, ETA: 0:41:58, 1.60it/s, loss: 0.7246, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1143, RCNNLoss.rcnn_loss_bbox: 0.1754, SampledMaskLoss.rcnn_loss_mask: 0.3890 [06/20 08:06:06] Vis4D INFO: Epoch 4: 5750/9726, ETA: 0:41:24, 1.60it/s, loss: 0.7153, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1173, RCNNLoss.rcnn_loss_bbox: 0.1831, SampledMaskLoss.rcnn_loss_mask: 0.3702 [06/20 08:06:32] Vis4D INFO: Epoch 4: 5800/9726, ETA: 0:40:50, 1.60it/s, loss: 0.6608, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0272, RCNNLoss.rcnn_loss_cls: 0.1069, RCNNLoss.rcnn_loss_bbox: 0.1703, SampledMaskLoss.rcnn_loss_mask: 0.3444 [06/20 08:06:58] Vis4D INFO: Epoch 4: 5850/9726, ETA: 0:40:15, 1.60it/s, loss: 0.7105, RPNLoss.loss_cls: 0.0173, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1077, RCNNLoss.rcnn_loss_bbox: 0.1632, SampledMaskLoss.rcnn_loss_mask: 0.3946 [06/20 08:07:26] Vis4D INFO: Epoch 4: 5900/9726, ETA: 0:39:41, 1.61it/s, loss: 0.7059, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.1152, RCNNLoss.rcnn_loss_bbox: 0.1674, SampledMaskLoss.rcnn_loss_mask: 0.3826 [06/20 08:07:53] Vis4D INFO: Epoch 4: 5950/9726, ETA: 0:39:08, 1.61it/s, loss: 0.7092, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1132, RCNNLoss.rcnn_loss_bbox: 0.1697, SampledMaskLoss.rcnn_loss_mask: 0.3821 [06/20 08:08:22] Vis4D INFO: Epoch 4: 6000/9726, ETA: 0:38:36, 1.61it/s, loss: 0.6357, RPNLoss.loss_cls: 0.0168, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1042, RCNNLoss.rcnn_loss_bbox: 0.1621, SampledMaskLoss.rcnn_loss_mask: 0.3244 [06/20 08:08:50] Vis4D INFO: Epoch 4: 6050/9726, ETA: 0:38:03, 1.61it/s, loss: 0.7396, RPNLoss.loss_cls: 0.0185, RPNLoss.loss_bbox: 0.0315, RCNNLoss.rcnn_loss_cls: 0.1167, RCNNLoss.rcnn_loss_bbox: 0.1848, SampledMaskLoss.rcnn_loss_mask: 0.3881 [06/20 08:09:16] Vis4D INFO: Epoch 4: 6100/9726, ETA: 0:37:29, 1.61it/s, loss: 0.7689, RPNLoss.loss_cls: 0.0174, RPNLoss.loss_bbox: 0.0360, RCNNLoss.rcnn_loss_cls: 0.1351, RCNNLoss.rcnn_loss_bbox: 0.1989, SampledMaskLoss.rcnn_loss_mask: 0.3815 [06/20 08:09:45] Vis4D INFO: Epoch 4: 6150/9726, ETA: 0:36:56, 1.61it/s, loss: 0.7188, RPNLoss.loss_cls: 0.0154, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1226, RCNNLoss.rcnn_loss_bbox: 0.1739, SampledMaskLoss.rcnn_loss_mask: 0.3778 [06/20 08:10:11] Vis4D INFO: Epoch 4: 6200/9726, ETA: 0:36:22, 1.62it/s, loss: 0.7707, RPNLoss.loss_cls: 0.0159, RPNLoss.loss_bbox: 0.0335, RCNNLoss.rcnn_loss_cls: 0.1310, RCNNLoss.rcnn_loss_bbox: 0.1992, SampledMaskLoss.rcnn_loss_mask: 0.3911 [06/20 08:10:40] Vis4D INFO: Epoch 4: 6250/9726, ETA: 0:35:51, 1.62it/s, loss: 0.7995, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0336, RCNNLoss.rcnn_loss_cls: 0.1318, RCNNLoss.rcnn_loss_bbox: 0.1903, SampledMaskLoss.rcnn_loss_mask: 0.4295 [06/20 08:11:09] Vis4D INFO: Epoch 4: 6300/9726, ETA: 0:35:18, 1.62it/s, loss: 0.6980, RPNLoss.loss_cls: 0.0110, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1075, RCNNLoss.rcnn_loss_bbox: 0.1613, SampledMaskLoss.rcnn_loss_mask: 0.3881 [06/20 08:11:38] Vis4D INFO: Epoch 4: 6350/9726, ETA: 0:34:47, 1.62it/s, loss: 0.6560, RPNLoss.loss_cls: 0.0097, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.0911, RCNNLoss.rcnn_loss_bbox: 0.1466, SampledMaskLoss.rcnn_loss_mask: 0.3841 [06/20 08:12:08] Vis4D INFO: Epoch 4: 6400/9726, ETA: 0:34:15, 1.62it/s, loss: 0.7248, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1177, RCNNLoss.rcnn_loss_bbox: 0.1797, SampledMaskLoss.rcnn_loss_mask: 0.3853 [06/20 08:12:37] Vis4D INFO: Epoch 4: 6450/9726, ETA: 0:33:43, 1.62it/s, loss: 0.7712, RPNLoss.loss_cls: 0.0167, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1216, RCNNLoss.rcnn_loss_bbox: 0.1801, SampledMaskLoss.rcnn_loss_mask: 0.4212 [06/20 08:13:05] Vis4D INFO: Epoch 4: 6500/9726, ETA: 0:33:11, 1.62it/s, loss: 0.6833, RPNLoss.loss_cls: 0.0102, RPNLoss.loss_bbox: 0.0245, RCNNLoss.rcnn_loss_cls: 0.1101, RCNNLoss.rcnn_loss_bbox: 0.1571, SampledMaskLoss.rcnn_loss_mask: 0.3815 [06/20 08:13:34] Vis4D INFO: Epoch 4: 6550/9726, ETA: 0:32:39, 1.62it/s, loss: 0.7151, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.1053, RCNNLoss.rcnn_loss_bbox: 0.1802, SampledMaskLoss.rcnn_loss_mask: 0.3936 [06/20 08:14:03] Vis4D INFO: Epoch 4: 6600/9726, ETA: 0:32:08, 1.62it/s, loss: 0.7276, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1264, RCNNLoss.rcnn_loss_bbox: 0.1932, SampledMaskLoss.rcnn_loss_mask: 0.3636 [06/20 08:14:30] Vis4D INFO: Epoch 4: 6650/9726, ETA: 0:31:35, 1.62it/s, loss: 0.7395, RPNLoss.loss_cls: 0.0164, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.1185, RCNNLoss.rcnn_loss_bbox: 0.1851, SampledMaskLoss.rcnn_loss_mask: 0.3931 [06/20 08:14:57] Vis4D INFO: Epoch 4: 6700/9726, ETA: 0:31:03, 1.62it/s, loss: 0.7038, RPNLoss.loss_cls: 0.0166, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1104, RCNNLoss.rcnn_loss_bbox: 0.1757, SampledMaskLoss.rcnn_loss_mask: 0.3691 [06/20 08:15:24] Vis4D INFO: Epoch 4: 6750/9726, ETA: 0:30:30, 1.63it/s, loss: 0.7038, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.1158, RCNNLoss.rcnn_loss_bbox: 0.1843, SampledMaskLoss.rcnn_loss_mask: 0.3580 [06/20 08:15:50] Vis4D INFO: Epoch 4: 6800/9726, ETA: 0:29:57, 1.63it/s, loss: 0.6411, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.0993, RCNNLoss.rcnn_loss_bbox: 0.1548, SampledMaskLoss.rcnn_loss_mask: 0.3514 [06/20 08:16:17] Vis4D INFO: Epoch 4: 6850/9726, ETA: 0:29:25, 1.63it/s, loss: 0.6668, RPNLoss.loss_cls: 0.0121, RPNLoss.loss_bbox: 0.0244, RCNNLoss.rcnn_loss_cls: 0.0968, RCNNLoss.rcnn_loss_bbox: 0.1615, SampledMaskLoss.rcnn_loss_mask: 0.3721 [06/20 08:16:50] Vis4D INFO: Epoch 4: 6900/9726, ETA: 0:28:55, 1.63it/s, loss: 0.7291, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1241, RCNNLoss.rcnn_loss_bbox: 0.1947, SampledMaskLoss.rcnn_loss_mask: 0.3660 [06/20 08:17:17] Vis4D INFO: Epoch 4: 6950/9726, ETA: 0:28:23, 1.63it/s, loss: 0.7355, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0341, RCNNLoss.rcnn_loss_cls: 0.1314, RCNNLoss.rcnn_loss_bbox: 0.1923, SampledMaskLoss.rcnn_loss_mask: 0.3627 [06/20 08:17:44] Vis4D INFO: Epoch 4: 7000/9726, ETA: 0:27:51, 1.63it/s, loss: 0.7890, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1288, RCNNLoss.rcnn_loss_bbox: 0.1977, SampledMaskLoss.rcnn_loss_mask: 0.4164 [06/20 08:18:11] Vis4D INFO: Epoch 4: 7050/9726, ETA: 0:27:19, 1.63it/s, loss: 0.7231, RPNLoss.loss_cls: 0.0202, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1076, RCNNLoss.rcnn_loss_bbox: 0.1712, SampledMaskLoss.rcnn_loss_mask: 0.3932 [06/20 08:18:39] Vis4D INFO: Epoch 4: 7100/9726, ETA: 0:26:47, 1.63it/s, loss: 0.7260, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.1252, RCNNLoss.rcnn_loss_bbox: 0.1872, SampledMaskLoss.rcnn_loss_mask: 0.3716 [06/20 08:19:06] Vis4D INFO: Epoch 4: 7150/9726, ETA: 0:26:15, 1.63it/s, loss: 0.7304, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1265, RCNNLoss.rcnn_loss_bbox: 0.1846, SampledMaskLoss.rcnn_loss_mask: 0.3752 [06/20 08:19:32] Vis4D INFO: Epoch 4: 7200/9726, ETA: 0:25:43, 1.64it/s, loss: 0.6940, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.1174, RCNNLoss.rcnn_loss_bbox: 0.1712, SampledMaskLoss.rcnn_loss_mask: 0.3657 [06/20 08:19:58] Vis4D INFO: Epoch 4: 7250/9726, ETA: 0:25:11, 1.64it/s, loss: 0.7154, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.1201, RCNNLoss.rcnn_loss_bbox: 0.1768, SampledMaskLoss.rcnn_loss_mask: 0.3798 [06/20 08:20:23] Vis4D INFO: Epoch 4: 7300/9726, ETA: 0:24:39, 1.64it/s, loss: 0.7276, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0330, RCNNLoss.rcnn_loss_cls: 0.1172, RCNNLoss.rcnn_loss_bbox: 0.1849, SampledMaskLoss.rcnn_loss_mask: 0.3784 [06/20 08:20:49] Vis4D INFO: Epoch 4: 7350/9726, ETA: 0:24:07, 1.64it/s, loss: 0.7953, RPNLoss.loss_cls: 0.0248, RPNLoss.loss_bbox: 0.0346, RCNNLoss.rcnn_loss_cls: 0.1271, RCNNLoss.rcnn_loss_bbox: 0.1853, SampledMaskLoss.rcnn_loss_mask: 0.4235 [06/20 08:21:17] Vis4D INFO: Epoch 4: 7400/9726, ETA: 0:23:35, 1.64it/s, loss: 0.7399, RPNLoss.loss_cls: 0.0167, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1215, RCNNLoss.rcnn_loss_bbox: 0.1836, SampledMaskLoss.rcnn_loss_mask: 0.3855 [06/20 08:21:44] Vis4D INFO: Epoch 4: 7450/9726, ETA: 0:23:04, 1.64it/s, loss: 0.7330, RPNLoss.loss_cls: 0.0110, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.1192, RCNNLoss.rcnn_loss_bbox: 0.1778, SampledMaskLoss.rcnn_loss_mask: 0.4001 [06/20 08:22:13] Vis4D INFO: Epoch 4: 7500/9726, ETA: 0:22:33, 1.64it/s, loss: 0.6991, RPNLoss.loss_cls: 0.0196, RPNLoss.loss_bbox: 0.0281, RCNNLoss.rcnn_loss_cls: 0.1235, RCNNLoss.rcnn_loss_bbox: 0.1732, SampledMaskLoss.rcnn_loss_mask: 0.3548 [06/20 08:22:42] Vis4D INFO: Epoch 4: 7550/9726, ETA: 0:22:02, 1.65it/s, loss: 0.7007, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1126, RCNNLoss.rcnn_loss_bbox: 0.1742, SampledMaskLoss.rcnn_loss_mask: 0.3718 [06/20 08:23:13] Vis4D INFO: Epoch 4: 7600/9726, ETA: 0:21:32, 1.64it/s, loss: 0.7586, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1281, RCNNLoss.rcnn_loss_bbox: 0.1930, SampledMaskLoss.rcnn_loss_mask: 0.3916 [06/20 08:23:44] Vis4D INFO: Epoch 4: 7650/9726, ETA: 0:21:02, 1.64it/s, loss: 0.7481, RPNLoss.loss_cls: 0.0154, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1223, RCNNLoss.rcnn_loss_bbox: 0.1820, SampledMaskLoss.rcnn_loss_mask: 0.3970 [06/20 08:24:14] Vis4D INFO: Epoch 4: 7700/9726, ETA: 0:20:31, 1.64it/s, loss: 0.7540, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1258, RCNNLoss.rcnn_loss_bbox: 0.1772, SampledMaskLoss.rcnn_loss_mask: 0.4025 [06/20 08:24:44] Vis4D INFO: Epoch 4: 7750/9726, ETA: 0:20:01, 1.64it/s, loss: 0.7443, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0336, RCNNLoss.rcnn_loss_cls: 0.1253, RCNNLoss.rcnn_loss_bbox: 0.1863, SampledMaskLoss.rcnn_loss_mask: 0.3849 [06/20 08:25:12] Vis4D INFO: Epoch 4: 7800/9726, ETA: 0:19:30, 1.65it/s, loss: 0.7345, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1190, RCNNLoss.rcnn_loss_bbox: 0.1837, SampledMaskLoss.rcnn_loss_mask: 0.3860 [06/20 08:25:42] Vis4D INFO: Epoch 4: 7850/9726, ETA: 0:18:59, 1.65it/s, loss: 0.7590, RPNLoss.loss_cls: 0.0168, RPNLoss.loss_bbox: 0.0325, RCNNLoss.rcnn_loss_cls: 0.1322, RCNNLoss.rcnn_loss_bbox: 0.1930, SampledMaskLoss.rcnn_loss_mask: 0.3846 [06/20 08:26:09] Vis4D INFO: Epoch 4: 7900/9726, ETA: 0:18:28, 1.65it/s, loss: 0.8374, RPNLoss.loss_cls: 0.0275, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1337, RCNNLoss.rcnn_loss_bbox: 0.1691, SampledMaskLoss.rcnn_loss_mask: 0.4752 [06/20 08:26:38] Vis4D INFO: Epoch 4: 7950/9726, ETA: 0:17:58, 1.65it/s, loss: 0.7879, RPNLoss.loss_cls: 0.0176, RPNLoss.loss_bbox: 0.0333, RCNNLoss.rcnn_loss_cls: 0.1231, RCNNLoss.rcnn_loss_bbox: 0.1821, SampledMaskLoss.rcnn_loss_mask: 0.4317 [06/20 08:27:23] Vis4D INFO: Epoch 4: 8000/9726, ETA: 0:17:30, 1.64it/s, loss: 0.7039, RPNLoss.loss_cls: 0.0166, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.1069, RCNNLoss.rcnn_loss_bbox: 0.1521, SampledMaskLoss.rcnn_loss_mask: 0.4013 [06/20 08:27:59] Vis4D INFO: Epoch 4: 8050/9726, ETA: 0:17:01, 1.64it/s, loss: 0.7033, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1207, RCNNLoss.rcnn_loss_bbox: 0.1800, SampledMaskLoss.rcnn_loss_mask: 0.3575 [06/20 08:28:33] Vis4D INFO: Epoch 4: 8100/9726, ETA: 0:16:31, 1.64it/s, loss: 0.7725, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0354, RCNNLoss.rcnn_loss_cls: 0.1248, RCNNLoss.rcnn_loss_bbox: 0.1899, SampledMaskLoss.rcnn_loss_mask: 0.4055 [06/20 08:29:09] Vis4D INFO: Epoch 4: 8150/9726, ETA: 0:16:02, 1.64it/s, loss: 0.7648, RPNLoss.loss_cls: 0.0188, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1198, RCNNLoss.rcnn_loss_bbox: 0.1781, SampledMaskLoss.rcnn_loss_mask: 0.4169 [06/20 08:29:41] Vis4D INFO: Epoch 4: 8200/9726, ETA: 0:15:32, 1.64it/s, loss: 0.7857, RPNLoss.loss_cls: 0.0178, RPNLoss.loss_bbox: 0.0354, RCNNLoss.rcnn_loss_cls: 0.1338, RCNNLoss.rcnn_loss_bbox: 0.1967, SampledMaskLoss.rcnn_loss_mask: 0.4019 [06/20 08:30:15] Vis4D INFO: Epoch 4: 8250/9726, ETA: 0:15:02, 1.64it/s, loss: 0.7308, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0312, RCNNLoss.rcnn_loss_cls: 0.1158, RCNNLoss.rcnn_loss_bbox: 0.1745, SampledMaskLoss.rcnn_loss_mask: 0.3943 [06/20 08:30:44] Vis4D INFO: Epoch 4: 8300/9726, ETA: 0:14:31, 1.64it/s, loss: 0.7626, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1248, RCNNLoss.rcnn_loss_bbox: 0.1827, SampledMaskLoss.rcnn_loss_mask: 0.4107 [06/20 08:31:13] Vis4D INFO: Epoch 4: 8350/9726, ETA: 0:14:00, 1.64it/s, loss: 0.7062, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1136, RCNNLoss.rcnn_loss_bbox: 0.1733, SampledMaskLoss.rcnn_loss_mask: 0.3737 [06/20 08:31:40] Vis4D INFO: Epoch 4: 8400/9726, ETA: 0:13:29, 1.64it/s, loss: 0.6988, RPNLoss.loss_cls: 0.0099, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1073, RCNNLoss.rcnn_loss_bbox: 0.1647, SampledMaskLoss.rcnn_loss_mask: 0.3884 [06/20 08:32:09] Vis4D INFO: Epoch 4: 8450/9726, ETA: 0:12:58, 1.64it/s, loss: 0.8123, RPNLoss.loss_cls: 0.0159, RPNLoss.loss_bbox: 0.0354, RCNNLoss.rcnn_loss_cls: 0.1406, RCNNLoss.rcnn_loss_bbox: 0.2128, SampledMaskLoss.rcnn_loss_mask: 0.4077 [06/20 08:32:38] Vis4D INFO: Epoch 4: 8500/9726, ETA: 0:12:27, 1.64it/s, loss: 0.7450, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.1156, RCNNLoss.rcnn_loss_bbox: 0.1754, SampledMaskLoss.rcnn_loss_mask: 0.4087 [06/20 08:33:09] Vis4D INFO: Epoch 4: 8550/9726, ETA: 0:11:57, 1.64it/s, loss: 0.7285, RPNLoss.loss_cls: 0.0188, RPNLoss.loss_bbox: 0.0314, RCNNLoss.rcnn_loss_cls: 0.1131, RCNNLoss.rcnn_loss_bbox: 0.1729, SampledMaskLoss.rcnn_loss_mask: 0.3922 [06/20 08:33:38] Vis4D INFO: Epoch 4: 8600/9726, ETA: 0:11:26, 1.64it/s, loss: 0.7167, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1064, RCNNLoss.rcnn_loss_bbox: 0.1494, SampledMaskLoss.rcnn_loss_mask: 0.4163 [06/20 08:34:10] Vis4D INFO: Epoch 4: 8650/9726, ETA: 0:10:56, 1.64it/s, loss: 0.7383, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.1138, RCNNLoss.rcnn_loss_bbox: 0.1692, SampledMaskLoss.rcnn_loss_mask: 0.4143 [06/20 08:34:38] Vis4D INFO: Epoch 4: 8700/9726, ETA: 0:10:25, 1.64it/s, loss: 0.7019, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1068, RCNNLoss.rcnn_loss_bbox: 0.1670, SampledMaskLoss.rcnn_loss_mask: 0.3872 [06/20 08:35:08] Vis4D INFO: Epoch 4: 8750/9726, ETA: 0:09:55, 1.64it/s, loss: 0.6627, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0266, RCNNLoss.rcnn_loss_cls: 0.1060, RCNNLoss.rcnn_loss_bbox: 0.1561, SampledMaskLoss.rcnn_loss_mask: 0.3594 [06/20 08:35:35] Vis4D INFO: Epoch 4: 8800/9726, ETA: 0:09:24, 1.64it/s, loss: 0.7550, RPNLoss.loss_cls: 0.0179, RPNLoss.loss_bbox: 0.0331, RCNNLoss.rcnn_loss_cls: 0.1214, RCNNLoss.rcnn_loss_bbox: 0.1853, SampledMaskLoss.rcnn_loss_mask: 0.3973 [06/20 08:36:05] Vis4D INFO: Epoch 4: 8850/9726, ETA: 0:08:53, 1.64it/s, loss: 0.7313, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1292, RCNNLoss.rcnn_loss_bbox: 0.1921, SampledMaskLoss.rcnn_loss_mask: 0.3688 [06/20 08:36:40] Vis4D INFO: Epoch 4: 8900/9726, ETA: 0:08:23, 1.64it/s, loss: 0.7263, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1204, RCNNLoss.rcnn_loss_bbox: 0.1816, SampledMaskLoss.rcnn_loss_mask: 0.3798 [06/20 08:37:09] Vis4D INFO: Epoch 4: 8950/9726, ETA: 0:07:53, 1.64it/s, loss: 0.6885, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.1089, RCNNLoss.rcnn_loss_bbox: 0.1587, SampledMaskLoss.rcnn_loss_mask: 0.3829 [06/20 08:37:38] Vis4D INFO: Epoch 4: 9000/9726, ETA: 0:07:22, 1.64it/s, loss: 0.7382, RPNLoss.loss_cls: 0.0171, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1248, RCNNLoss.rcnn_loss_bbox: 0.1802, SampledMaskLoss.rcnn_loss_mask: 0.3851 [06/20 08:38:06] Vis4D INFO: Epoch 4: 9050/9726, ETA: 0:06:51, 1.64it/s, loss: 0.7303, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1245, RCNNLoss.rcnn_loss_bbox: 0.1879, SampledMaskLoss.rcnn_loss_mask: 0.3762 [06/20 08:38:33] Vis4D INFO: Epoch 4: 9100/9726, ETA: 0:06:21, 1.64it/s, loss: 0.7731, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1279, RCNNLoss.rcnn_loss_bbox: 0.1875, SampledMaskLoss.rcnn_loss_mask: 0.4086 [06/20 08:39:00] Vis4D INFO: Epoch 4: 9150/9726, ETA: 0:05:50, 1.64it/s, loss: 0.6989, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1215, RCNNLoss.rcnn_loss_bbox: 0.1820, SampledMaskLoss.rcnn_loss_mask: 0.3525 [06/20 08:39:29] Vis4D INFO: Epoch 4: 9200/9726, ETA: 0:05:19, 1.64it/s, loss: 0.6669, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.1054, RCNNLoss.rcnn_loss_bbox: 0.1620, SampledMaskLoss.rcnn_loss_mask: 0.3605 [06/20 08:39:57] Vis4D INFO: Epoch 4: 9250/9726, ETA: 0:04:49, 1.64it/s, loss: 0.7758, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0334, RCNNLoss.rcnn_loss_cls: 0.1298, RCNNLoss.rcnn_loss_bbox: 0.2138, SampledMaskLoss.rcnn_loss_mask: 0.3869 [06/20 08:40:23] Vis4D INFO: Epoch 4: 9300/9726, ETA: 0:04:18, 1.65it/s, loss: 0.7528, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1173, RCNNLoss.rcnn_loss_bbox: 0.1917, SampledMaskLoss.rcnn_loss_mask: 0.4002 [06/20 08:40:51] Vis4D INFO: Epoch 4: 9350/9726, ETA: 0:03:48, 1.65it/s, loss: 0.7672, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1305, RCNNLoss.rcnn_loss_bbox: 0.2109, SampledMaskLoss.rcnn_loss_mask: 0.3783 [06/20 08:41:20] Vis4D INFO: Epoch 4: 9400/9726, ETA: 0:03:17, 1.65it/s, loss: 0.7188, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1200, RCNNLoss.rcnn_loss_bbox: 0.1852, SampledMaskLoss.rcnn_loss_mask: 0.3676 [06/20 08:41:47] Vis4D INFO: Epoch 4: 9450/9726, ETA: 0:02:47, 1.65it/s, loss: 0.7389, RPNLoss.loss_cls: 0.0175, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1339, RCNNLoss.rcnn_loss_bbox: 0.1919, SampledMaskLoss.rcnn_loss_mask: 0.3624 [06/20 08:42:17] Vis4D INFO: Epoch 4: 9500/9726, ETA: 0:02:17, 1.65it/s, loss: 0.7343, RPNLoss.loss_cls: 0.0117, RPNLoss.loss_bbox: 0.0271, RCNNLoss.rcnn_loss_cls: 0.1102, RCNNLoss.rcnn_loss_bbox: 0.1658, SampledMaskLoss.rcnn_loss_mask: 0.4195 [06/20 08:42:44] Vis4D INFO: Epoch 4: 9550/9726, ETA: 0:01:46, 1.65it/s, loss: 0.7349, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1197, RCNNLoss.rcnn_loss_bbox: 0.1811, SampledMaskLoss.rcnn_loss_mask: 0.3896 [06/20 08:43:14] Vis4D INFO: Epoch 4: 9600/9726, ETA: 0:01:16, 1.65it/s, loss: 0.7227, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0337, RCNNLoss.rcnn_loss_cls: 0.1296, RCNNLoss.rcnn_loss_bbox: 0.1994, SampledMaskLoss.rcnn_loss_mask: 0.3492 [06/20 08:43:41] Vis4D INFO: Epoch 4: 9650/9726, ETA: 0:00:46, 1.65it/s, loss: 0.7069, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1258, RCNNLoss.rcnn_loss_bbox: 0.1781, SampledMaskLoss.rcnn_loss_mask: 0.3612 [06/20 08:44:09] Vis4D INFO: Epoch 4: 9700/9726, ETA: 0:00:15, 1.65it/s, loss: 0.7596, RPNLoss.loss_cls: 0.0179, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1176, RCNNLoss.rcnn_loss_bbox: 0.1768, SampledMaskLoss.rcnn_loss_mask: 0.4168 [06/20 08:44:46] Vis4D INFO: Testing: 50/1400, ETA: 0:10:06, 2.23it/s [06/20 08:45:05] Vis4D INFO: Testing: 100/1400, ETA: 0:08:56, 2.42it/s [06/20 08:45:18] Vis4D INFO: Testing: 150/1400, ETA: 0:07:34, 2.75it/s [06/20 08:45:33] Vis4D INFO: Testing: 200/1400, ETA: 0:06:56, 2.88it/s [06/20 08:45:52] Vis4D INFO: Testing: 250/1400, ETA: 0:06:44, 2.84it/s [06/20 08:46:04] Vis4D INFO: Testing: 300/1400, ETA: 0:06:08, 2.98it/s [06/20 08:46:15] Vis4D INFO: Testing: 350/1400, ETA: 0:05:33, 3.15it/s [06/20 08:46:35] Vis4D INFO: Testing: 400/1400, ETA: 0:05:29, 3.04it/s [06/20 08:46:57] Vis4D INFO: Testing: 450/1400, ETA: 0:05:24, 2.92it/s [06/20 08:47:13] Vis4D INFO: Testing: 500/1400, ETA: 0:05:04, 2.96it/s [06/20 08:47:31] Vis4D INFO: Testing: 550/1400, ETA: 0:04:50, 2.93it/s [06/20 08:47:59] Vis4D INFO: Testing: 600/1400, ETA: 0:04:47, 2.78it/s [06/20 08:48:21] Vis4D INFO: Testing: 650/1400, ETA: 0:04:33, 2.74it/s [06/20 08:48:33] Vis4D INFO: Testing: 700/1400, ETA: 0:04:09, 2.80it/s [06/20 08:48:51] Vis4D INFO: Testing: 750/1400, ETA: 0:03:51, 2.81it/s [06/20 08:49:03] Vis4D INFO: Testing: 800/1400, ETA: 0:03:29, 2.86it/s [06/20 08:49:18] Vis4D INFO: Testing: 850/1400, ETA: 0:03:10, 2.88it/s [06/20 08:49:32] Vis4D INFO: Testing: 900/1400, ETA: 0:02:51, 2.92it/s [06/20 08:49:51] Vis4D INFO: Testing: 950/1400, ETA: 0:02:35, 2.90it/s [06/20 08:50:03] Vis4D INFO: Testing: 1000/1400, ETA: 0:02:15, 2.95it/s [06/20 08:50:18] Vis4D INFO: Testing: 1050/1400, ETA: 0:01:58, 2.96it/s [06/20 08:50:33] Vis4D INFO: Testing: 1100/1400, ETA: 0:01:40, 2.97it/s [06/20 08:50:52] Vis4D INFO: Testing: 1150/1400, ETA: 0:01:24, 2.96it/s [06/20 08:51:07] Vis4D INFO: Testing: 1200/1400, ETA: 0:01:07, 2.97it/s [06/20 08:51:24] Vis4D INFO: Testing: 1250/1400, ETA: 0:00:50, 2.97it/s [06/20 08:51:36] Vis4D INFO: Testing: 1300/1400, ETA: 0:00:33, 3.00it/s [06/20 08:52:00] Vis4D INFO: Testing: 1350/1400, ETA: 0:00:16, 2.96it/s [06/20 08:52:22] Vis4D INFO: Testing: 1400/1400, ETA: 0:00:00, 2.93it/s [06/20 08:52:22] Vis4D INFO: Running evaluator Scalabel Tracking Evaluator... [06/20 08:52:44] Vis4D INFO: Det/AP: 38.0353 [06/20 08:52:44] Vis4D INFO: Det/AP50: 58.5778 [06/20 08:52:44] Vis4D INFO: Det/AP75: 42.9079 [06/20 08:52:44] Vis4D INFO: Det/APs: 21.5838 [06/20 08:52:44] Vis4D INFO: Det/APm: 64.1694 [06/20 08:52:44] Vis4D INFO: Det/APl: 80.2140 [06/20 08:52:44] Vis4D INFO: Det/AR1: 28.9500 [06/20 08:52:44] Vis4D INFO: Det/AR10: 43.5732 [06/20 08:52:44] Vis4D INFO: Det/AR100: 44.5810 [06/20 08:52:44] Vis4D INFO: Det/ARs: 28.9544 [06/20 08:52:44] Vis4D INFO: Det/ARm: 70.6359 [06/20 08:52:44] Vis4D INFO: Det/ARl: 84.3870 [06/20 08:52:44] Vis4D INFO: Det/AP/pedestrian: 37.1374 [06/20 08:52:44] Vis4D INFO: Det/AP/car: 44.8540 [06/20 08:52:44] Vis4D INFO: Det/AP/truck: 39.3954 [06/20 08:52:44] Vis4D INFO: Det/AP/bus: 35.8722 [06/20 08:52:44] Vis4D INFO: Det/AP/motorcycle: 38.2027 [06/20 08:52:44] Vis4D INFO: Det/AP/bicycle: 32.7502 [06/20 08:52:44] Vis4D INFO: Showing evaluation results for Det [06/20 08:52:44] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl --------------------------------------------------------------------------- pedestrian 37.1 63.1 39.5 27.5 72.2 81.9 11.3 38.2 42.4 33.7 76.5 85.1 car 44.9 64.7 49.6 26.5 64.9 83.3 19.3 49.2 50.9 33.1 71.8 87.9 truck 39.4 59.9 44.4 18.0 61.1 76.7 31.8 46.9 47.1 27.9 67.9 81.9 bus 35.9 54.5 40.5 24.0 69.6 84.4 39.2 45.1 45.1 35.2 75.5 90.5 motorcycle 38.2 57.6 46.4 19.7 65.3 74.4 37.3 43.1 43.1 24.0 71.8 76.9 bicycle 32.8 51.7 37.2 13.7 51.9 80.5 34.8 38.8 38.8 19.8 60.2 83.9 --------------------------------------------------------------------------- OVERALL 38.0 58.6 42.9 21.6 64.2 80.2 29.0 43.6 44.6 29.0 70.6 84.4 [06/20 08:53:18] Vis4D INFO: InsSeg/AP: 0.4292 [06/20 08:53:18] Vis4D INFO: InsSeg/AP50: 0.6117 [06/20 08:53:18] Vis4D INFO: InsSeg/AP75: 0.3768 [06/20 08:53:18] Vis4D INFO: InsSeg/APs: 0.2016 [06/20 08:53:18] Vis4D INFO: InsSeg/APm: 0.4592 [06/20 08:53:18] Vis4D INFO: InsSeg/APl: 0.8810 [06/20 08:53:18] Vis4D INFO: InsSeg/AR1: 0.2068 [06/20 08:53:18] Vis4D INFO: InsSeg/AR10: 0.2440 [06/20 08:53:18] Vis4D INFO: InsSeg/AR100: 0.2449 [06/20 08:53:18] Vis4D INFO: InsSeg/ARs: 0.1329 [06/20 08:53:18] Vis4D INFO: InsSeg/ARm: 0.3671 [06/20 08:53:18] Vis4D INFO: InsSeg/ARl: 0.7840 [06/20 08:53:18] Vis4D INFO: InsSeg/AP/pedestrian: 0.3230 [06/20 08:53:18] Vis4D INFO: InsSeg/AP/car: 1.3099 [06/20 08:53:18] Vis4D INFO: InsSeg/AP/truck: 0.1584 [06/20 08:53:18] Vis4D INFO: InsSeg/AP/bus: 0.4455 [06/20 08:53:18] Vis4D INFO: InsSeg/AP/motorcycle: 0.1650 [06/20 08:53:18] Vis4D INFO: InsSeg/AP/bicycle: 0.1733 [06/20 08:53:18] Vis4D INFO: Showing evaluation results for InsSeg [06/20 08:53:18] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl -------------------------------------------------------------------------- pedestrian 0.3 0.6 0.3 0.4 0.3 0.0 0.1 0.1 0.1 0.1 0.3 0.0 car 1.3 1.8 1.0 0.6 1.6 2.8 0.8 1.0 1.0 0.5 1.4 2.6 truck 0.2 0.2 0.2 0.0 0.0 1.1 0.1 0.1 0.1 0.0 0.0 0.8 bus 0.4 0.5 0.5 0.0 0.9 0.0 0.1 0.1 0.1 0.0 0.6 0.0 motorcycle 0.2 0.3 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.1 0.0 0.0 bicycle 0.2 0.2 0.2 0.0 0.0 1.4 0.1 0.1 0.1 0.1 0.0 1.3 -------------------------------------------------------------------------- OVERALL 0.4 0.6 0.4 0.2 0.5 0.9 0.2 0.2 0.2 0.1 0.4 0.8 [06/20 08:53:47] Vis4D INFO: Epoch 5: 50/9726, ETA: 1:30:30, 1.78it/s, loss: 0.6955, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.1146, RCNNLoss.rcnn_loss_bbox: 0.1769, SampledMaskLoss.rcnn_loss_mask: 0.3639 [06/20 08:54:17] Vis4D INFO: Epoch 5: 100/9726, ETA: 1:33:10, 1.72it/s, loss: 0.6762, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1045, RCNNLoss.rcnn_loss_bbox: 0.1608, SampledMaskLoss.rcnn_loss_mask: 0.3725 [06/20 08:54:44] Vis4D INFO: Epoch 5: 150/9726, ETA: 1:31:01, 1.75it/s, loss: 0.7280, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1243, RCNNLoss.rcnn_loss_bbox: 0.1847, SampledMaskLoss.rcnn_loss_mask: 0.3746 [06/20 08:55:12] Vis4D INFO: Epoch 5: 200/9726, ETA: 1:29:38, 1.77it/s, loss: 0.6952, RPNLoss.loss_cls: 0.0121, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1240, RCNNLoss.rcnn_loss_bbox: 0.1920, SampledMaskLoss.rcnn_loss_mask: 0.3365 [06/20 08:55:39] Vis4D INFO: Epoch 5: 250/9726, ETA: 1:28:15, 1.79it/s, loss: 0.7002, RPNLoss.loss_cls: 0.0211, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1130, RCNNLoss.rcnn_loss_bbox: 0.1737, SampledMaskLoss.rcnn_loss_mask: 0.3625 [06/20 08:56:07] Vis4D INFO: Epoch 5: 300/9726, ETA: 1:27:58, 1.79it/s, loss: 0.7064, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0322, RCNNLoss.rcnn_loss_cls: 0.1095, RCNNLoss.rcnn_loss_bbox: 0.1691, SampledMaskLoss.rcnn_loss_mask: 0.3787 [06/20 08:56:36] Vis4D INFO: Epoch 5: 350/9726, ETA: 1:28:02, 1.78it/s, loss: 0.8261, RPNLoss.loss_cls: 0.0235, RPNLoss.loss_bbox: 0.0360, RCNNLoss.rcnn_loss_cls: 0.1436, RCNNLoss.rcnn_loss_bbox: 0.1920, SampledMaskLoss.rcnn_loss_mask: 0.4309 [06/20 08:57:06] Vis4D INFO: Epoch 5: 400/9726, ETA: 1:28:14, 1.76it/s, loss: 0.7637, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1247, RCNNLoss.rcnn_loss_bbox: 0.1982, SampledMaskLoss.rcnn_loss_mask: 0.3965 [06/20 08:57:33] Vis4D INFO: Epoch 5: 450/9726, ETA: 1:27:14, 1.77it/s, loss: 0.7941, RPNLoss.loss_cls: 0.0280, RPNLoss.loss_bbox: 0.0351, RCNNLoss.rcnn_loss_cls: 0.1300, RCNNLoss.rcnn_loss_bbox: 0.1914, SampledMaskLoss.rcnn_loss_mask: 0.4095 [06/20 08:58:00] Vis4D INFO: Epoch 5: 500/9726, ETA: 1:26:33, 1.78it/s, loss: 0.7441, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.1055, RCNNLoss.rcnn_loss_bbox: 0.1693, SampledMaskLoss.rcnn_loss_mask: 0.4263 [06/20 08:58:29] Vis4D INFO: Epoch 5: 550/9726, ETA: 1:26:07, 1.78it/s, loss: 0.6517, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.0934, RCNNLoss.rcnn_loss_bbox: 0.1491, SampledMaskLoss.rcnn_loss_mask: 0.3700 [06/20 08:58:56] Vis4D INFO: Epoch 5: 600/9726, ETA: 1:25:24, 1.78it/s, loss: 0.7585, RPNLoss.loss_cls: 0.0195, RPNLoss.loss_bbox: 0.0328, RCNNLoss.rcnn_loss_cls: 0.1211, RCNNLoss.rcnn_loss_bbox: 0.1732, SampledMaskLoss.rcnn_loss_mask: 0.4119 [06/20 08:59:24] Vis4D INFO: Epoch 5: 650/9726, ETA: 1:24:50, 1.78it/s, loss: 0.7173, RPNLoss.loss_cls: 0.0100, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.1129, RCNNLoss.rcnn_loss_bbox: 0.1764, SampledMaskLoss.rcnn_loss_mask: 0.3892 [06/20 08:59:51] Vis4D INFO: Epoch 5: 700/9726, ETA: 1:24:12, 1.79it/s, loss: 0.7597, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0349, RCNNLoss.rcnn_loss_cls: 0.1217, RCNNLoss.rcnn_loss_bbox: 0.1923, SampledMaskLoss.rcnn_loss_mask: 0.3975 [06/20 09:00:17] Vis4D INFO: Epoch 5: 750/9726, ETA: 1:23:27, 1.79it/s, loss: 0.7234, RPNLoss.loss_cls: 0.0166, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1192, RCNNLoss.rcnn_loss_bbox: 0.1795, SampledMaskLoss.rcnn_loss_mask: 0.3773 [06/20 09:00:45] Vis4D INFO: Epoch 5: 800/9726, ETA: 1:22:51, 1.80it/s, loss: 0.7119, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.1093, RCNNLoss.rcnn_loss_bbox: 0.1794, SampledMaskLoss.rcnn_loss_mask: 0.3804 [06/20 09:01:10] Vis4D INFO: Epoch 5: 850/9726, ETA: 1:22:01, 1.80it/s, loss: 0.7500, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1164, RCNNLoss.rcnn_loss_bbox: 0.1735, SampledMaskLoss.rcnn_loss_mask: 0.4158 [06/20 09:01:36] Vis4D INFO: Epoch 5: 900/9726, ETA: 1:21:15, 1.81it/s, loss: 0.7208, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1232, RCNNLoss.rcnn_loss_bbox: 0.1806, SampledMaskLoss.rcnn_loss_mask: 0.3730 [06/20 09:02:03] Vis4D INFO: Epoch 5: 950/9726, ETA: 1:20:42, 1.81it/s, loss: 0.7293, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1201, RCNNLoss.rcnn_loss_bbox: 0.1845, SampledMaskLoss.rcnn_loss_mask: 0.3806 [06/20 09:02:28] Vis4D INFO: Epoch 5: 1000/9726, ETA: 1:19:55, 1.82it/s, loss: 0.6872, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1053, RCNNLoss.rcnn_loss_bbox: 0.1659, SampledMaskLoss.rcnn_loss_mask: 0.3757 [06/20 09:02:55] Vis4D INFO: Epoch 5: 1050/9726, ETA: 1:19:18, 1.82it/s, loss: 0.7323, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1152, RCNNLoss.rcnn_loss_bbox: 0.1803, SampledMaskLoss.rcnn_loss_mask: 0.3884 [06/20 09:03:20] Vis4D INFO: Epoch 5: 1100/9726, ETA: 1:18:34, 1.83it/s, loss: 0.6791, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0338, RCNNLoss.rcnn_loss_cls: 0.1115, RCNNLoss.rcnn_loss_bbox: 0.1650, SampledMaskLoss.rcnn_loss_mask: 0.3538 [06/20 09:03:46] Vis4D INFO: Epoch 5: 1150/9726, ETA: 1:17:52, 1.84it/s, loss: 0.7343, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1150, RCNNLoss.rcnn_loss_bbox: 0.1791, SampledMaskLoss.rcnn_loss_mask: 0.3973 [06/20 09:04:11] Vis4D INFO: Epoch 5: 1200/9726, ETA: 1:17:13, 1.84it/s, loss: 0.6993, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1045, RCNNLoss.rcnn_loss_bbox: 0.1693, SampledMaskLoss.rcnn_loss_mask: 0.3792 [06/20 09:04:38] Vis4D INFO: Epoch 5: 1250/9726, ETA: 1:16:47, 1.84it/s, loss: 0.7504, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1190, RCNNLoss.rcnn_loss_bbox: 0.1825, SampledMaskLoss.rcnn_loss_mask: 0.4092 [06/20 09:05:08] Vis4D INFO: Epoch 5: 1300/9726, ETA: 1:16:37, 1.83it/s, loss: 0.7494, RPNLoss.loss_cls: 0.0177, RPNLoss.loss_bbox: 0.0343, RCNNLoss.rcnn_loss_cls: 0.1268, RCNNLoss.rcnn_loss_bbox: 0.1875, SampledMaskLoss.rcnn_loss_mask: 0.3831 [06/20 09:05:36] Vis4D INFO: Epoch 5: 1350/9726, ETA: 1:16:15, 1.83it/s, loss: 0.6971, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0283, RCNNLoss.rcnn_loss_cls: 0.1123, RCNNLoss.rcnn_loss_bbox: 0.1724, SampledMaskLoss.rcnn_loss_mask: 0.3692 [06/20 09:06:04] Vis4D INFO: Epoch 5: 1400/9726, ETA: 1:15:50, 1.83it/s, loss: 0.7282, RPNLoss.loss_cls: 0.0089, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.1163, RCNNLoss.rcnn_loss_bbox: 0.1866, SampledMaskLoss.rcnn_loss_mask: 0.3872 [06/20 09:06:32] Vis4D INFO: Epoch 5: 1450/9726, ETA: 1:15:29, 1.83it/s, loss: 0.6848, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1126, RCNNLoss.rcnn_loss_bbox: 0.1656, SampledMaskLoss.rcnn_loss_mask: 0.3629 [06/20 09:07:01] Vis4D INFO: Epoch 5: 1500/9726, ETA: 1:15:07, 1.82it/s, loss: 0.6589, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.1178, RCNNLoss.rcnn_loss_bbox: 0.1605, SampledMaskLoss.rcnn_loss_mask: 0.3406 [06/20 09:07:30] Vis4D INFO: Epoch 5: 1550/9726, ETA: 1:14:47, 1.82it/s, loss: 0.7063, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1123, RCNNLoss.rcnn_loss_bbox: 0.1729, SampledMaskLoss.rcnn_loss_mask: 0.3826 [06/20 09:07:56] Vis4D INFO: Epoch 5: 1600/9726, ETA: 1:14:12, 1.83it/s, loss: 0.7164, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0342, RCNNLoss.rcnn_loss_cls: 0.1109, RCNNLoss.rcnn_loss_bbox: 0.1824, SampledMaskLoss.rcnn_loss_mask: 0.3763 [06/20 09:08:25] Vis4D INFO: Epoch 5: 1650/9726, ETA: 1:13:53, 1.82it/s, loss: 0.7444, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1290, RCNNLoss.rcnn_loss_bbox: 0.1906, SampledMaskLoss.rcnn_loss_mask: 0.3837 [06/20 09:08:52] Vis4D INFO: Epoch 5: 1700/9726, ETA: 1:13:25, 1.82it/s, loss: 0.7509, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1145, RCNNLoss.rcnn_loss_bbox: 0.1802, SampledMaskLoss.rcnn_loss_mask: 0.4104 [06/20 09:09:20] Vis4D INFO: Epoch 5: 1750/9726, ETA: 1:13:01, 1.82it/s, loss: 0.7161, RPNLoss.loss_cls: 0.0221, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1037, RCNNLoss.rcnn_loss_bbox: 0.1644, SampledMaskLoss.rcnn_loss_mask: 0.3969 [06/20 09:09:48] Vis4D INFO: Epoch 5: 1800/9726, ETA: 1:12:35, 1.82it/s, loss: 0.7181, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.1176, RCNNLoss.rcnn_loss_bbox: 0.1742, SampledMaskLoss.rcnn_loss_mask: 0.3876 [06/20 09:10:14] Vis4D INFO: Epoch 5: 1850/9726, ETA: 1:12:02, 1.82it/s, loss: 0.6700, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.1033, RCNNLoss.rcnn_loss_bbox: 0.1537, SampledMaskLoss.rcnn_loss_mask: 0.3731 [06/20 09:10:41] Vis4D INFO: Epoch 5: 1900/9726, ETA: 1:11:32, 1.82it/s, loss: 0.7048, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1205, RCNNLoss.rcnn_loss_bbox: 0.1889, SampledMaskLoss.rcnn_loss_mask: 0.3528 [06/20 09:11:08] Vis4D INFO: Epoch 5: 1950/9726, ETA: 1:11:04, 1.82it/s, loss: 0.7488, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1309, RCNNLoss.rcnn_loss_bbox: 0.1930, SampledMaskLoss.rcnn_loss_mask: 0.3791 [06/20 09:11:36] Vis4D INFO: Epoch 5: 2000/9726, ETA: 1:10:37, 1.82it/s, loss: 0.7473, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0380, RCNNLoss.rcnn_loss_cls: 0.1272, RCNNLoss.rcnn_loss_bbox: 0.1861, SampledMaskLoss.rcnn_loss_mask: 0.3801 [06/20 09:12:02] Vis4D INFO: Epoch 5: 2050/9726, ETA: 1:10:04, 1.83it/s, loss: 0.7524, RPNLoss.loss_cls: 0.0214, RPNLoss.loss_bbox: 0.0342, RCNNLoss.rcnn_loss_cls: 0.1207, RCNNLoss.rcnn_loss_bbox: 0.1879, SampledMaskLoss.rcnn_loss_mask: 0.3882 [06/20 09:12:27] Vis4D INFO: Epoch 5: 2100/9726, ETA: 1:09:30, 1.83it/s, loss: 0.7295, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.1203, RCNNLoss.rcnn_loss_bbox: 0.1804, SampledMaskLoss.rcnn_loss_mask: 0.3829 [06/20 09:12:53] Vis4D INFO: Epoch 5: 2150/9726, ETA: 1:08:57, 1.83it/s, loss: 0.6980, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1108, RCNNLoss.rcnn_loss_bbox: 0.1790, SampledMaskLoss.rcnn_loss_mask: 0.3664 [06/20 09:13:21] Vis4D INFO: Epoch 5: 2200/9726, ETA: 1:08:32, 1.83it/s, loss: 0.6871, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1087, RCNNLoss.rcnn_loss_bbox: 0.1726, SampledMaskLoss.rcnn_loss_mask: 0.3655 [06/20 09:13:47] Vis4D INFO: Epoch 5: 2250/9726, ETA: 1:08:01, 1.83it/s, loss: 0.6297, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0193, RCNNLoss.rcnn_loss_cls: 0.1023, RCNNLoss.rcnn_loss_bbox: 0.1573, SampledMaskLoss.rcnn_loss_mask: 0.3401 [06/20 09:14:15] Vis4D INFO: Epoch 5: 2300/9726, ETA: 1:07:34, 1.83it/s, loss: 0.7481, RPNLoss.loss_cls: 0.0164, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1285, RCNNLoss.rcnn_loss_bbox: 0.1881, SampledMaskLoss.rcnn_loss_mask: 0.3825 [06/20 09:14:41] Vis4D INFO: Epoch 5: 2350/9726, ETA: 1:07:03, 1.83it/s, loss: 0.7170, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1183, RCNNLoss.rcnn_loss_bbox: 0.1858, SampledMaskLoss.rcnn_loss_mask: 0.3711 [06/20 09:15:06] Vis4D INFO: Epoch 5: 2400/9726, ETA: 1:06:30, 1.84it/s, loss: 0.6723, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.1038, RCNNLoss.rcnn_loss_bbox: 0.1575, SampledMaskLoss.rcnn_loss_mask: 0.3738 [06/20 09:15:33] Vis4D INFO: Epoch 5: 2450/9726, ETA: 1:06:01, 1.84it/s, loss: 0.6932, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.1082, RCNNLoss.rcnn_loss_bbox: 0.1669, SampledMaskLoss.rcnn_loss_mask: 0.3761 [06/20 09:15:59] Vis4D INFO: Epoch 5: 2500/9726, ETA: 1:05:32, 1.84it/s, loss: 0.7176, RPNLoss.loss_cls: 0.0154, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.1091, RCNNLoss.rcnn_loss_bbox: 0.1695, SampledMaskLoss.rcnn_loss_mask: 0.3964 [06/20 09:16:25] Vis4D INFO: Epoch 5: 2550/9726, ETA: 1:05:01, 1.84it/s, loss: 0.6652, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.1103, RCNNLoss.rcnn_loss_bbox: 0.1719, SampledMaskLoss.rcnn_loss_mask: 0.3399 [06/20 09:16:51] Vis4D INFO: Epoch 5: 2600/9726, ETA: 1:04:28, 1.84it/s, loss: 0.6700, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0224, RCNNLoss.rcnn_loss_cls: 0.0994, RCNNLoss.rcnn_loss_bbox: 0.1603, SampledMaskLoss.rcnn_loss_mask: 0.3747 [06/20 09:17:18] Vis4D INFO: Epoch 5: 2650/9726, ETA: 1:04:01, 1.84it/s, loss: 0.7210, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0312, RCNNLoss.rcnn_loss_cls: 0.1071, RCNNLoss.rcnn_loss_bbox: 0.1771, SampledMaskLoss.rcnn_loss_mask: 0.3909 [06/20 09:17:46] Vis4D INFO: Epoch 5: 2700/9726, ETA: 1:03:38, 1.84it/s, loss: 0.7101, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1227, RCNNLoss.rcnn_loss_bbox: 0.1822, SampledMaskLoss.rcnn_loss_mask: 0.3627 [06/20 09:18:14] Vis4D INFO: Epoch 5: 2750/9726, ETA: 1:03:12, 1.84it/s, loss: 0.7225, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1228, RCNNLoss.rcnn_loss_bbox: 0.1841, SampledMaskLoss.rcnn_loss_mask: 0.3702 [06/20 09:18:41] Vis4D INFO: Epoch 5: 2800/9726, ETA: 1:02:45, 1.84it/s, loss: 0.7259, RPNLoss.loss_cls: 0.0161, RPNLoss.loss_bbox: 0.0343, RCNNLoss.rcnn_loss_cls: 0.1303, RCNNLoss.rcnn_loss_bbox: 0.1865, SampledMaskLoss.rcnn_loss_mask: 0.3586 [06/20 09:19:08] Vis4D INFO: Epoch 5: 2850/9726, ETA: 1:02:18, 1.84it/s, loss: 0.6712, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.1069, RCNNLoss.rcnn_loss_bbox: 0.1635, SampledMaskLoss.rcnn_loss_mask: 0.3616 [06/20 09:19:34] Vis4D INFO: Epoch 5: 2900/9726, ETA: 1:01:48, 1.84it/s, loss: 0.6712, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.1085, RCNNLoss.rcnn_loss_bbox: 0.1665, SampledMaskLoss.rcnn_loss_mask: 0.3531 [06/20 09:20:01] Vis4D INFO: Epoch 5: 2950/9726, ETA: 1:01:19, 1.84it/s, loss: 0.7013, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1015, RCNNLoss.rcnn_loss_bbox: 0.1582, SampledMaskLoss.rcnn_loss_mask: 0.4010 [06/20 09:20:26] Vis4D INFO: Epoch 5: 3000/9726, ETA: 1:00:47, 1.84it/s, loss: 0.6854, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.1036, RCNNLoss.rcnn_loss_bbox: 0.1648, SampledMaskLoss.rcnn_loss_mask: 0.3748 [06/20 09:20:52] Vis4D INFO: Epoch 5: 3050/9726, ETA: 1:00:17, 1.85it/s, loss: 0.7238, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1250, RCNNLoss.rcnn_loss_bbox: 0.1851, SampledMaskLoss.rcnn_loss_mask: 0.3666 [06/20 09:21:18] Vis4D INFO: Epoch 5: 3100/9726, ETA: 0:59:48, 1.85it/s, loss: 0.7054, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0256, RCNNLoss.rcnn_loss_cls: 0.1066, RCNNLoss.rcnn_loss_bbox: 0.1641, SampledMaskLoss.rcnn_loss_mask: 0.3938 [06/20 09:21:43] Vis4D INFO: Epoch 5: 3150/9726, ETA: 0:59:17, 1.85it/s, loss: 0.7125, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1130, RCNNLoss.rcnn_loss_bbox: 0.1775, SampledMaskLoss.rcnn_loss_mask: 0.3812 [06/20 09:22:10] Vis4D INFO: Epoch 5: 3200/9726, ETA: 0:58:50, 1.85it/s, loss: 0.7888, RPNLoss.loss_cls: 0.0205, RPNLoss.loss_bbox: 0.0352, RCNNLoss.rcnn_loss_cls: 0.1249, RCNNLoss.rcnn_loss_bbox: 0.1984, SampledMaskLoss.rcnn_loss_mask: 0.4099 [06/20 09:22:36] Vis4D INFO: Epoch 5: 3250/9726, ETA: 0:58:21, 1.85it/s, loss: 0.7098, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1095, RCNNLoss.rcnn_loss_bbox: 0.1722, SampledMaskLoss.rcnn_loss_mask: 0.3833 [06/20 09:23:01] Vis4D INFO: Epoch 5: 3300/9726, ETA: 0:57:50, 1.85it/s, loss: 0.6802, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.1054, RCNNLoss.rcnn_loss_bbox: 0.1646, SampledMaskLoss.rcnn_loss_mask: 0.3695 [06/20 09:23:27] Vis4D INFO: Epoch 5: 3350/9726, ETA: 0:57:21, 1.85it/s, loss: 0.6898, RPNLoss.loss_cls: 0.0103, RPNLoss.loss_bbox: 0.0281, RCNNLoss.rcnn_loss_cls: 0.1107, RCNNLoss.rcnn_loss_bbox: 0.1754, SampledMaskLoss.rcnn_loss_mask: 0.3653 [06/20 09:23:52] Vis4D INFO: Epoch 5: 3400/9726, ETA: 0:56:51, 1.85it/s, loss: 0.6816, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0257, RCNNLoss.rcnn_loss_cls: 0.1150, RCNNLoss.rcnn_loss_bbox: 0.1722, SampledMaskLoss.rcnn_loss_mask: 0.3550 [06/20 09:24:19] Vis4D INFO: Epoch 5: 3450/9726, ETA: 0:56:23, 1.85it/s, loss: 0.7368, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1243, RCNNLoss.rcnn_loss_bbox: 0.1784, SampledMaskLoss.rcnn_loss_mask: 0.3906 [06/20 09:24:44] Vis4D INFO: Epoch 5: 3500/9726, ETA: 0:55:53, 1.86it/s, loss: 0.6838, RPNLoss.loss_cls: 0.0117, RPNLoss.loss_bbox: 0.0287, RCNNLoss.rcnn_loss_cls: 0.1114, RCNNLoss.rcnn_loss_bbox: 0.1615, SampledMaskLoss.rcnn_loss_mask: 0.3704 [06/20 09:25:12] Vis4D INFO: Epoch 5: 3550/9726, ETA: 0:55:28, 1.86it/s, loss: 0.7293, RPNLoss.loss_cls: 0.0097, RPNLoss.loss_bbox: 0.0315, RCNNLoss.rcnn_loss_cls: 0.1218, RCNNLoss.rcnn_loss_bbox: 0.1922, SampledMaskLoss.rcnn_loss_mask: 0.3740 [06/20 09:25:39] Vis4D INFO: Epoch 5: 3600/9726, ETA: 0:55:02, 1.86it/s, loss: 0.6906, RPNLoss.loss_cls: 0.0094, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1151, RCNNLoss.rcnn_loss_bbox: 0.1838, SampledMaskLoss.rcnn_loss_mask: 0.3534 [06/20 09:26:08] Vis4D INFO: Epoch 5: 3650/9726, ETA: 0:54:37, 1.85it/s, loss: 0.6209, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0224, RCNNLoss.rcnn_loss_cls: 0.0971, RCNNLoss.rcnn_loss_bbox: 0.1491, SampledMaskLoss.rcnn_loss_mask: 0.3437 [06/20 09:26:37] Vis4D INFO: Epoch 5: 3700/9726, ETA: 0:54:14, 1.85it/s, loss: 0.7518, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0305, RCNNLoss.rcnn_loss_cls: 0.1189, RCNNLoss.rcnn_loss_bbox: 0.1773, SampledMaskLoss.rcnn_loss_mask: 0.4126 [06/20 09:27:06] Vis4D INFO: Epoch 5: 3750/9726, ETA: 0:53:49, 1.85it/s, loss: 0.7158, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1185, RCNNLoss.rcnn_loss_bbox: 0.1819, SampledMaskLoss.rcnn_loss_mask: 0.3726 [06/20 09:27:32] Vis4D INFO: Epoch 5: 3800/9726, ETA: 0:53:22, 1.85it/s, loss: 0.6955, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1095, RCNNLoss.rcnn_loss_bbox: 0.1644, SampledMaskLoss.rcnn_loss_mask: 0.3780 [06/20 09:28:02] Vis4D INFO: Epoch 5: 3850/9726, ETA: 0:52:59, 1.85it/s, loss: 0.6966, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0315, RCNNLoss.rcnn_loss_cls: 0.1142, RCNNLoss.rcnn_loss_bbox: 0.1772, SampledMaskLoss.rcnn_loss_mask: 0.3592 [06/20 09:28:30] Vis4D INFO: Epoch 5: 3900/9726, ETA: 0:52:33, 1.85it/s, loss: 0.6867, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1114, RCNNLoss.rcnn_loss_bbox: 0.1684, SampledMaskLoss.rcnn_loss_mask: 0.3623 [06/20 09:29:00] Vis4D INFO: Epoch 5: 3950/9726, ETA: 0:52:11, 1.84it/s, loss: 0.7285, RPNLoss.loss_cls: 0.0152, RPNLoss.loss_bbox: 0.0325, RCNNLoss.rcnn_loss_cls: 0.1168, RCNNLoss.rcnn_loss_bbox: 0.1708, SampledMaskLoss.rcnn_loss_mask: 0.3932 [06/20 09:29:30] Vis4D INFO: Epoch 5: 4000/9726, ETA: 0:51:47, 1.84it/s, loss: 0.6087, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0239, RCNNLoss.rcnn_loss_cls: 0.0941, RCNNLoss.rcnn_loss_bbox: 0.1509, SampledMaskLoss.rcnn_loss_mask: 0.3262 [06/20 09:30:00] Vis4D INFO: Epoch 5: 4050/9726, ETA: 0:51:25, 1.84it/s, loss: 0.6770, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.1056, RCNNLoss.rcnn_loss_bbox: 0.1697, SampledMaskLoss.rcnn_loss_mask: 0.3615 [06/20 09:30:29] Vis4D INFO: Epoch 5: 4100/9726, ETA: 0:50:59, 1.84it/s, loss: 0.7449, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1169, RCNNLoss.rcnn_loss_bbox: 0.1847, SampledMaskLoss.rcnn_loss_mask: 0.3989 [06/20 09:30:58] Vis4D INFO: Epoch 5: 4150/9726, ETA: 0:50:35, 1.84it/s, loss: 0.7491, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1192, RCNNLoss.rcnn_loss_bbox: 0.1799, SampledMaskLoss.rcnn_loss_mask: 0.4044 [06/20 09:31:25] Vis4D INFO: Epoch 5: 4200/9726, ETA: 0:50:08, 1.84it/s, loss: 0.7350, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1109, RCNNLoss.rcnn_loss_bbox: 0.1671, SampledMaskLoss.rcnn_loss_mask: 0.4074 [06/20 09:31:51] Vis4D INFO: Epoch 5: 4250/9726, ETA: 0:49:39, 1.84it/s, loss: 0.7411, RPNLoss.loss_cls: 0.0173, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1214, RCNNLoss.rcnn_loss_bbox: 0.1862, SampledMaskLoss.rcnn_loss_mask: 0.3821 [06/20 09:32:17] Vis4D INFO: Epoch 5: 4300/9726, ETA: 0:49:09, 1.84it/s, loss: 0.6619, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0226, RCNNLoss.rcnn_loss_cls: 0.0889, RCNNLoss.rcnn_loss_bbox: 0.1406, SampledMaskLoss.rcnn_loss_mask: 0.3983 [06/20 09:32:44] Vis4D INFO: Epoch 5: 4350/9726, ETA: 0:48:42, 1.84it/s, loss: 0.6875, RPNLoss.loss_cls: 0.0123, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1033, RCNNLoss.rcnn_loss_bbox: 0.1686, SampledMaskLoss.rcnn_loss_mask: 0.3757 [06/20 09:33:10] Vis4D INFO: Epoch 5: 4400/9726, ETA: 0:48:14, 1.84it/s, loss: 0.7190, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0331, RCNNLoss.rcnn_loss_cls: 0.1195, RCNNLoss.rcnn_loss_bbox: 0.1814, SampledMaskLoss.rcnn_loss_mask: 0.3711 [06/20 09:33:37] Vis4D INFO: Epoch 5: 4450/9726, ETA: 0:47:46, 1.84it/s, loss: 0.6748, RPNLoss.loss_cls: 0.0102, RPNLoss.loss_bbox: 0.0244, RCNNLoss.rcnn_loss_cls: 0.1154, RCNNLoss.rcnn_loss_bbox: 0.1757, SampledMaskLoss.rcnn_loss_mask: 0.3491 [06/20 09:34:03] Vis4D INFO: Epoch 5: 4500/9726, ETA: 0:47:18, 1.84it/s, loss: 0.7437, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1241, RCNNLoss.rcnn_loss_bbox: 0.1874, SampledMaskLoss.rcnn_loss_mask: 0.3855 [06/20 09:34:30] Vis4D INFO: Epoch 5: 4550/9726, ETA: 0:46:51, 1.84it/s, loss: 0.6583, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.0996, RCNNLoss.rcnn_loss_bbox: 0.1558, SampledMaskLoss.rcnn_loss_mask: 0.3631 [06/20 09:34:58] Vis4D INFO: Epoch 5: 4600/9726, ETA: 0:46:24, 1.84it/s, loss: 0.7350, RPNLoss.loss_cls: 0.0248, RPNLoss.loss_bbox: 0.0345, RCNNLoss.rcnn_loss_cls: 0.1165, RCNNLoss.rcnn_loss_bbox: 0.1792, SampledMaskLoss.rcnn_loss_mask: 0.3800 [06/20 09:35:26] Vis4D INFO: Epoch 5: 4650/9726, ETA: 0:45:59, 1.84it/s, loss: 0.6766, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.1180, RCNNLoss.rcnn_loss_bbox: 0.1775, SampledMaskLoss.rcnn_loss_mask: 0.3367 [06/20 09:35:53] Vis4D INFO: Epoch 5: 4700/9726, ETA: 0:45:30, 1.84it/s, loss: 0.7442, RPNLoss.loss_cls: 0.0161, RPNLoss.loss_bbox: 0.0378, RCNNLoss.rcnn_loss_cls: 0.1231, RCNNLoss.rcnn_loss_bbox: 0.1965, SampledMaskLoss.rcnn_loss_mask: 0.3707 [06/20 09:36:20] Vis4D INFO: Epoch 5: 4750/9726, ETA: 0:45:03, 1.84it/s, loss: 0.6872, RPNLoss.loss_cls: 0.0161, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.1075, RCNNLoss.rcnn_loss_bbox: 0.1632, SampledMaskLoss.rcnn_loss_mask: 0.3735 [06/20 09:36:47] Vis4D INFO: Epoch 5: 4800/9726, ETA: 0:44:36, 1.84it/s, loss: 0.6562, RPNLoss.loss_cls: 0.0157, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1053, RCNNLoss.rcnn_loss_bbox: 0.1668, SampledMaskLoss.rcnn_loss_mask: 0.3404 [06/20 09:37:13] Vis4D INFO: Epoch 5: 4850/9726, ETA: 0:44:08, 1.84it/s, loss: 0.6592, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1008, RCNNLoss.rcnn_loss_bbox: 0.1576, SampledMaskLoss.rcnn_loss_mask: 0.3606 [06/20 09:37:42] Vis4D INFO: Epoch 5: 4900/9726, ETA: 0:43:42, 1.84it/s, loss: 0.7298, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.1108, RCNNLoss.rcnn_loss_bbox: 0.1607, SampledMaskLoss.rcnn_loss_mask: 0.4175 [06/20 09:38:10] Vis4D INFO: Epoch 5: 4950/9726, ETA: 0:43:16, 1.84it/s, loss: 0.6709, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.0974, RCNNLoss.rcnn_loss_bbox: 0.1529, SampledMaskLoss.rcnn_loss_mask: 0.3797 [06/20 09:38:37] Vis4D INFO: Epoch 5: 5000/9726, ETA: 0:42:49, 1.84it/s, loss: 0.6643, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.1019, RCNNLoss.rcnn_loss_bbox: 0.1732, SampledMaskLoss.rcnn_loss_mask: 0.3569 [06/20 09:39:06] Vis4D INFO: Epoch 5: 5050/9726, ETA: 0:42:23, 1.84it/s, loss: 0.7264, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1236, RCNNLoss.rcnn_loss_bbox: 0.1858, SampledMaskLoss.rcnn_loss_mask: 0.3706 [06/20 09:39:33] Vis4D INFO: Epoch 5: 5100/9726, ETA: 0:41:56, 1.84it/s, loss: 0.7144, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1142, RCNNLoss.rcnn_loss_bbox: 0.1812, SampledMaskLoss.rcnn_loss_mask: 0.3697 [06/20 09:40:00] Vis4D INFO: Epoch 5: 5150/9726, ETA: 0:41:28, 1.84it/s, loss: 0.6887, RPNLoss.loss_cls: 0.0210, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1079, RCNNLoss.rcnn_loss_bbox: 0.1755, SampledMaskLoss.rcnn_loss_mask: 0.3535 [06/20 09:40:27] Vis4D INFO: Epoch 5: 5200/9726, ETA: 0:41:01, 1.84it/s, loss: 0.7354, RPNLoss.loss_cls: 0.0264, RPNLoss.loss_bbox: 0.0322, RCNNLoss.rcnn_loss_cls: 0.1213, RCNNLoss.rcnn_loss_bbox: 0.1851, SampledMaskLoss.rcnn_loss_mask: 0.3704 [06/20 09:40:53] Vis4D INFO: Epoch 5: 5250/9726, ETA: 0:40:33, 1.84it/s, loss: 0.7132, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1182, RCNNLoss.rcnn_loss_bbox: 0.1801, SampledMaskLoss.rcnn_loss_mask: 0.3713 [06/20 09:41:21] Vis4D INFO: Epoch 5: 5300/9726, ETA: 0:40:06, 1.84it/s, loss: 0.6832, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1146, RCNNLoss.rcnn_loss_bbox: 0.1773, SampledMaskLoss.rcnn_loss_mask: 0.3495 [06/20 09:41:49] Vis4D INFO: Epoch 5: 5350/9726, ETA: 0:39:39, 1.84it/s, loss: 0.6867, RPNLoss.loss_cls: 0.0123, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1128, RCNNLoss.rcnn_loss_bbox: 0.1739, SampledMaskLoss.rcnn_loss_mask: 0.3587 [06/20 09:42:16] Vis4D INFO: Epoch 5: 5400/9726, ETA: 0:39:12, 1.84it/s, loss: 0.6979, RPNLoss.loss_cls: 0.0110, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1068, RCNNLoss.rcnn_loss_bbox: 0.1759, SampledMaskLoss.rcnn_loss_mask: 0.3722 [06/20 09:42:43] Vis4D INFO: Epoch 5: 5450/9726, ETA: 0:38:45, 1.84it/s, loss: 0.6708, RPNLoss.loss_cls: 0.0171, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1116, RCNNLoss.rcnn_loss_bbox: 0.1760, SampledMaskLoss.rcnn_loss_mask: 0.3350 [06/20 09:43:10] Vis4D INFO: Epoch 5: 5500/9726, ETA: 0:38:18, 1.84it/s, loss: 0.6823, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0234, RCNNLoss.rcnn_loss_cls: 0.1080, RCNNLoss.rcnn_loss_bbox: 0.1641, SampledMaskLoss.rcnn_loss_mask: 0.3734 [06/20 09:43:36] Vis4D INFO: Epoch 5: 5550/9726, ETA: 0:37:50, 1.84it/s, loss: 0.6902, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1154, RCNNLoss.rcnn_loss_bbox: 0.1757, SampledMaskLoss.rcnn_loss_mask: 0.3589 [06/20 09:44:05] Vis4D INFO: Epoch 5: 5600/9726, ETA: 0:37:24, 1.84it/s, loss: 0.7195, RPNLoss.loss_cls: 0.0166, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1124, RCNNLoss.rcnn_loss_bbox: 0.1764, SampledMaskLoss.rcnn_loss_mask: 0.3850 [06/20 09:44:34] Vis4D INFO: Epoch 5: 5650/9726, ETA: 0:36:58, 1.84it/s, loss: 0.6427, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0973, RCNNLoss.rcnn_loss_bbox: 0.1494, SampledMaskLoss.rcnn_loss_mask: 0.3592 [06/20 09:45:02] Vis4D INFO: Epoch 5: 5700/9726, ETA: 0:36:32, 1.84it/s, loss: 0.7147, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.1126, RCNNLoss.rcnn_loss_bbox: 0.1911, SampledMaskLoss.rcnn_loss_mask: 0.3702 [06/20 09:45:33] Vis4D INFO: Epoch 5: 5750/9726, ETA: 0:36:07, 1.83it/s, loss: 0.7308, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1179, RCNNLoss.rcnn_loss_bbox: 0.1800, SampledMaskLoss.rcnn_loss_mask: 0.3901 [06/20 09:46:04] Vis4D INFO: Epoch 5: 5800/9726, ETA: 0:35:42, 1.83it/s, loss: 0.6886, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1242, RCNNLoss.rcnn_loss_bbox: 0.1794, SampledMaskLoss.rcnn_loss_mask: 0.3394 [06/20 09:46:33] Vis4D INFO: Epoch 5: 5850/9726, ETA: 0:35:16, 1.83it/s, loss: 0.6836, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1016, RCNNLoss.rcnn_loss_bbox: 0.1556, SampledMaskLoss.rcnn_loss_mask: 0.3836 [06/20 09:47:01] Vis4D INFO: Epoch 5: 5900/9726, ETA: 0:34:49, 1.83it/s, loss: 0.7054, RPNLoss.loss_cls: 0.0171, RPNLoss.loss_bbox: 0.0330, RCNNLoss.rcnn_loss_cls: 0.1191, RCNNLoss.rcnn_loss_bbox: 0.1773, SampledMaskLoss.rcnn_loss_mask: 0.3588 [06/20 09:47:32] Vis4D INFO: Epoch 5: 5950/9726, ETA: 0:34:24, 1.83it/s, loss: 0.7262, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1213, RCNNLoss.rcnn_loss_bbox: 0.1815, SampledMaskLoss.rcnn_loss_mask: 0.3780 [06/20 09:47:59] Vis4D INFO: Epoch 5: 6000/9726, ETA: 0:33:57, 1.83it/s, loss: 0.6775, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0261, RCNNLoss.rcnn_loss_cls: 0.1053, RCNNLoss.rcnn_loss_bbox: 0.1594, SampledMaskLoss.rcnn_loss_mask: 0.3729 [06/20 09:48:26] Vis4D INFO: Epoch 5: 6050/9726, ETA: 0:33:29, 1.83it/s, loss: 0.6943, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1131, RCNNLoss.rcnn_loss_bbox: 0.1836, SampledMaskLoss.rcnn_loss_mask: 0.3527 [06/20 09:48:52] Vis4D INFO: Epoch 5: 6100/9726, ETA: 0:33:01, 1.83it/s, loss: 0.6708, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.1064, RCNNLoss.rcnn_loss_bbox: 0.1630, SampledMaskLoss.rcnn_loss_mask: 0.3608 [06/20 09:49:20] Vis4D INFO: Epoch 5: 6150/9726, ETA: 0:32:34, 1.83it/s, loss: 0.6436, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0259, RCNNLoss.rcnn_loss_cls: 0.1014, RCNNLoss.rcnn_loss_bbox: 0.1611, SampledMaskLoss.rcnn_loss_mask: 0.3408 [06/20 09:49:46] Vis4D INFO: Epoch 5: 6200/9726, ETA: 0:32:06, 1.83it/s, loss: 0.7015, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1240, RCNNLoss.rcnn_loss_bbox: 0.1854, SampledMaskLoss.rcnn_loss_mask: 0.3502 [06/20 09:50:13] Vis4D INFO: Epoch 5: 6250/9726, ETA: 0:31:38, 1.83it/s, loss: 0.7119, RPNLoss.loss_cls: 0.0193, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1167, RCNNLoss.rcnn_loss_bbox: 0.1711, SampledMaskLoss.rcnn_loss_mask: 0.3727 [06/20 09:50:39] Vis4D INFO: Epoch 5: 6300/9726, ETA: 0:31:10, 1.83it/s, loss: 0.7491, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0337, RCNNLoss.rcnn_loss_cls: 0.1306, RCNNLoss.rcnn_loss_bbox: 0.1897, SampledMaskLoss.rcnn_loss_mask: 0.3796 [06/20 09:51:09] Vis4D INFO: Epoch 5: 6350/9726, ETA: 0:30:44, 1.83it/s, loss: 0.7116, RPNLoss.loss_cls: 0.0181, RPNLoss.loss_bbox: 0.0322, RCNNLoss.rcnn_loss_cls: 0.1172, RCNNLoss.rcnn_loss_bbox: 0.1901, SampledMaskLoss.rcnn_loss_mask: 0.3540 [06/20 09:51:39] Vis4D INFO: Epoch 5: 6400/9726, ETA: 0:30:18, 1.83it/s, loss: 0.6643, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0306, RCNNLoss.rcnn_loss_cls: 0.1084, RCNNLoss.rcnn_loss_bbox: 0.1659, SampledMaskLoss.rcnn_loss_mask: 0.3467 [06/20 09:52:09] Vis4D INFO: Epoch 5: 6450/9726, ETA: 0:29:52, 1.83it/s, loss: 0.7027, RPNLoss.loss_cls: 0.0164, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1058, RCNNLoss.rcnn_loss_bbox: 0.1663, SampledMaskLoss.rcnn_loss_mask: 0.3832 [06/20 09:52:39] Vis4D INFO: Epoch 5: 6500/9726, ETA: 0:29:26, 1.83it/s, loss: 0.6987, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1101, RCNNLoss.rcnn_loss_bbox: 0.1740, SampledMaskLoss.rcnn_loss_mask: 0.3706 [06/20 09:53:07] Vis4D INFO: Epoch 5: 6550/9726, ETA: 0:28:59, 1.83it/s, loss: 0.6696, RPNLoss.loss_cls: 0.0181, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.1028, RCNNLoss.rcnn_loss_bbox: 0.1651, SampledMaskLoss.rcnn_loss_mask: 0.3574 [06/20 09:53:35] Vis4D INFO: Epoch 5: 6600/9726, ETA: 0:28:32, 1.83it/s, loss: 0.7142, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0383, RCNNLoss.rcnn_loss_cls: 0.1168, RCNNLoss.rcnn_loss_bbox: 0.1808, SampledMaskLoss.rcnn_loss_mask: 0.3660 [06/20 09:54:04] Vis4D INFO: Epoch 5: 6650/9726, ETA: 0:28:05, 1.82it/s, loss: 0.6548, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0268, RCNNLoss.rcnn_loss_cls: 0.1063, RCNNLoss.rcnn_loss_bbox: 0.1539, SampledMaskLoss.rcnn_loss_mask: 0.3532 [06/20 09:54:32] Vis4D INFO: Epoch 5: 6700/9726, ETA: 0:27:38, 1.82it/s, loss: 0.7473, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0322, RCNNLoss.rcnn_loss_cls: 0.1228, RCNNLoss.rcnn_loss_bbox: 0.1872, SampledMaskLoss.rcnn_loss_mask: 0.3900 [06/20 09:54:59] Vis4D INFO: Epoch 5: 6750/9726, ETA: 0:27:11, 1.82it/s, loss: 0.7233, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0329, RCNNLoss.rcnn_loss_cls: 0.1220, RCNNLoss.rcnn_loss_bbox: 0.1829, SampledMaskLoss.rcnn_loss_mask: 0.3721 [06/20 09:55:26] Vis4D INFO: Epoch 5: 6800/9726, ETA: 0:26:43, 1.82it/s, loss: 0.7222, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0325, RCNNLoss.rcnn_loss_cls: 0.1133, RCNNLoss.rcnn_loss_bbox: 0.1765, SampledMaskLoss.rcnn_loss_mask: 0.3833 [06/20 09:55:53] Vis4D INFO: Epoch 5: 6850/9726, ETA: 0:26:16, 1.82it/s, loss: 0.6677, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1059, RCNNLoss.rcnn_loss_bbox: 0.1658, SampledMaskLoss.rcnn_loss_mask: 0.3544 [06/20 09:56:19] Vis4D INFO: Epoch 5: 6900/9726, ETA: 0:25:48, 1.83it/s, loss: 0.7081, RPNLoss.loss_cls: 0.0191, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1086, RCNNLoss.rcnn_loss_bbox: 0.1654, SampledMaskLoss.rcnn_loss_mask: 0.3858 [06/20 09:56:46] Vis4D INFO: Epoch 5: 6950/9726, ETA: 0:25:20, 1.83it/s, loss: 0.6858, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0243, RCNNLoss.rcnn_loss_cls: 0.1035, RCNNLoss.rcnn_loss_bbox: 0.1566, SampledMaskLoss.rcnn_loss_mask: 0.3900 [06/20 09:57:14] Vis4D INFO: Epoch 5: 7000/9726, ETA: 0:24:53, 1.83it/s, loss: 0.6542, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1017, RCNNLoss.rcnn_loss_bbox: 0.1585, SampledMaskLoss.rcnn_loss_mask: 0.3539 [06/20 09:57:41] Vis4D INFO: Epoch 5: 7050/9726, ETA: 0:24:25, 1.83it/s, loss: 0.6797, RPNLoss.loss_cls: 0.0199, RPNLoss.loss_bbox: 0.0360, RCNNLoss.rcnn_loss_cls: 0.1150, RCNNLoss.rcnn_loss_bbox: 0.1761, SampledMaskLoss.rcnn_loss_mask: 0.3327 [06/20 09:58:07] Vis4D INFO: Epoch 5: 7100/9726, ETA: 0:23:58, 1.83it/s, loss: 0.6677, RPNLoss.loss_cls: 0.0234, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.0997, RCNNLoss.rcnn_loss_bbox: 0.1535, SampledMaskLoss.rcnn_loss_mask: 0.3617 [06/20 09:58:35] Vis4D INFO: Epoch 5: 7150/9726, ETA: 0:23:30, 1.83it/s, loss: 0.6625, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1128, RCNNLoss.rcnn_loss_bbox: 0.1704, SampledMaskLoss.rcnn_loss_mask: 0.3336 [06/20 09:59:04] Vis4D INFO: Epoch 5: 7200/9726, ETA: 0:23:04, 1.83it/s, loss: 0.7830, RPNLoss.loss_cls: 0.0250, RPNLoss.loss_bbox: 0.0369, RCNNLoss.rcnn_loss_cls: 0.1320, RCNNLoss.rcnn_loss_bbox: 0.1829, SampledMaskLoss.rcnn_loss_mask: 0.4062 [06/20 09:59:32] Vis4D INFO: Epoch 5: 7250/9726, ETA: 0:22:37, 1.82it/s, loss: 0.6942, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0261, RCNNLoss.rcnn_loss_cls: 0.1131, RCNNLoss.rcnn_loss_bbox: 0.1664, SampledMaskLoss.rcnn_loss_mask: 0.3756 [06/20 10:00:03] Vis4D INFO: Epoch 5: 7300/9726, ETA: 0:22:10, 1.82it/s, loss: 0.6992, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1102, RCNNLoss.rcnn_loss_bbox: 0.1661, SampledMaskLoss.rcnn_loss_mask: 0.3772 [06/20 10:00:33] Vis4D INFO: Epoch 5: 7350/9726, ETA: 0:21:43, 1.82it/s, loss: 0.7343, RPNLoss.loss_cls: 0.0190, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1245, RCNNLoss.rcnn_loss_bbox: 0.1703, SampledMaskLoss.rcnn_loss_mask: 0.3914 [06/20 10:01:02] Vis4D INFO: Epoch 5: 7400/9726, ETA: 0:21:17, 1.82it/s, loss: 0.7106, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1135, RCNNLoss.rcnn_loss_bbox: 0.1747, SampledMaskLoss.rcnn_loss_mask: 0.3796 [06/20 10:01:30] Vis4D INFO: Epoch 5: 7450/9726, ETA: 0:20:49, 1.82it/s, loss: 0.6530, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.0992, RCNNLoss.rcnn_loss_bbox: 0.1525, SampledMaskLoss.rcnn_loss_mask: 0.3604 [06/20 10:01:57] Vis4D INFO: Epoch 5: 7500/9726, ETA: 0:20:22, 1.82it/s, loss: 0.6430, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0226, RCNNLoss.rcnn_loss_cls: 0.0967, RCNNLoss.rcnn_loss_bbox: 0.1427, SampledMaskLoss.rcnn_loss_mask: 0.3698 [06/20 10:02:26] Vis4D INFO: Epoch 5: 7550/9726, ETA: 0:19:55, 1.82it/s, loss: 0.7813, RPNLoss.loss_cls: 0.0171, RPNLoss.loss_bbox: 0.0366, RCNNLoss.rcnn_loss_cls: 0.1339, RCNNLoss.rcnn_loss_bbox: 0.2004, SampledMaskLoss.rcnn_loss_mask: 0.3934 [06/20 10:02:53] Vis4D INFO: Epoch 5: 7600/9726, ETA: 0:19:27, 1.82it/s, loss: 0.6908, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0283, RCNNLoss.rcnn_loss_cls: 0.1159, RCNNLoss.rcnn_loss_bbox: 0.1680, SampledMaskLoss.rcnn_loss_mask: 0.3675 [06/20 10:03:20] Vis4D INFO: Epoch 5: 7650/9726, ETA: 0:18:59, 1.82it/s, loss: 0.7514, RPNLoss.loss_cls: 0.0205, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1321, RCNNLoss.rcnn_loss_bbox: 0.2032, SampledMaskLoss.rcnn_loss_mask: 0.3625 [06/20 10:03:47] Vis4D INFO: Epoch 5: 7700/9726, ETA: 0:18:32, 1.82it/s, loss: 0.7164, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0314, RCNNLoss.rcnn_loss_cls: 0.1198, RCNNLoss.rcnn_loss_bbox: 0.1803, SampledMaskLoss.rcnn_loss_mask: 0.3709 [06/20 10:04:15] Vis4D INFO: Epoch 5: 7750/9726, ETA: 0:18:05, 1.82it/s, loss: 0.7567, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0328, RCNNLoss.rcnn_loss_cls: 0.1201, RCNNLoss.rcnn_loss_bbox: 0.1847, SampledMaskLoss.rcnn_loss_mask: 0.4055 [06/20 10:04:43] Vis4D INFO: Epoch 5: 7800/9726, ETA: 0:17:37, 1.82it/s, loss: 0.6986, RPNLoss.loss_cls: 0.0164, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1111, RCNNLoss.rcnn_loss_bbox: 0.1667, SampledMaskLoss.rcnn_loss_mask: 0.3752 [06/20 10:05:12] Vis4D INFO: Epoch 5: 7850/9726, ETA: 0:17:10, 1.82it/s, loss: 0.6702, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0971, RCNNLoss.rcnn_loss_bbox: 0.1526, SampledMaskLoss.rcnn_loss_mask: 0.3831 [06/20 10:05:36] Vis4D INFO: Epoch 5: 7900/9726, ETA: 0:16:42, 1.82it/s, loss: 0.7124, RPNLoss.loss_cls: 0.0154, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1152, RCNNLoss.rcnn_loss_bbox: 0.1720, SampledMaskLoss.rcnn_loss_mask: 0.3817 [06/20 10:06:04] Vis4D INFO: Epoch 5: 7950/9726, ETA: 0:16:15, 1.82it/s, loss: 0.6926, RPNLoss.loss_cls: 0.0179, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1131, RCNNLoss.rcnn_loss_bbox: 0.1664, SampledMaskLoss.rcnn_loss_mask: 0.3625 [06/20 10:06:31] Vis4D INFO: Epoch 5: 8000/9726, ETA: 0:15:47, 1.82it/s, loss: 0.7094, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1153, RCNNLoss.rcnn_loss_bbox: 0.1767, SampledMaskLoss.rcnn_loss_mask: 0.3771 [06/20 10:06:58] Vis4D INFO: Epoch 5: 8050/9726, ETA: 0:15:20, 1.82it/s, loss: 0.7271, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1096, RCNNLoss.rcnn_loss_bbox: 0.1767, SampledMaskLoss.rcnn_loss_mask: 0.3999 [06/20 10:07:26] Vis4D INFO: Epoch 5: 8100/9726, ETA: 0:14:52, 1.82it/s, loss: 0.6644, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1087, RCNNLoss.rcnn_loss_bbox: 0.1700, SampledMaskLoss.rcnn_loss_mask: 0.3397 [06/20 10:07:53] Vis4D INFO: Epoch 5: 8150/9726, ETA: 0:14:25, 1.82it/s, loss: 0.6865, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1107, RCNNLoss.rcnn_loss_bbox: 0.1683, SampledMaskLoss.rcnn_loss_mask: 0.3670 [06/20 10:08:20] Vis4D INFO: Epoch 5: 8200/9726, ETA: 0:13:57, 1.82it/s, loss: 0.7143, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1190, RCNNLoss.rcnn_loss_bbox: 0.1815, SampledMaskLoss.rcnn_loss_mask: 0.3667 [06/20 10:08:47] Vis4D INFO: Epoch 5: 8250/9726, ETA: 0:13:30, 1.82it/s, loss: 0.6606, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1043, RCNNLoss.rcnn_loss_bbox: 0.1691, SampledMaskLoss.rcnn_loss_mask: 0.3478 [06/20 10:09:13] Vis4D INFO: Epoch 5: 8300/9726, ETA: 0:13:02, 1.82it/s, loss: 0.7178, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0287, RCNNLoss.rcnn_loss_cls: 0.1127, RCNNLoss.rcnn_loss_bbox: 0.1727, SampledMaskLoss.rcnn_loss_mask: 0.3928 [06/20 10:09:41] Vis4D INFO: Epoch 5: 8350/9726, ETA: 0:12:35, 1.82it/s, loss: 0.6544, RPNLoss.loss_cls: 0.0106, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.1012, RCNNLoss.rcnn_loss_bbox: 0.1603, SampledMaskLoss.rcnn_loss_mask: 0.3565 [06/20 10:10:09] Vis4D INFO: Epoch 5: 8400/9726, ETA: 0:12:07, 1.82it/s, loss: 0.7406, RPNLoss.loss_cls: 0.0206, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.1173, RCNNLoss.rcnn_loss_bbox: 0.1869, SampledMaskLoss.rcnn_loss_mask: 0.3855 [06/20 10:10:36] Vis4D INFO: Epoch 5: 8450/9726, ETA: 0:11:40, 1.82it/s, loss: 0.7162, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1138, RCNNLoss.rcnn_loss_bbox: 0.1781, SampledMaskLoss.rcnn_loss_mask: 0.3778 [06/20 10:11:06] Vis4D INFO: Epoch 5: 8500/9726, ETA: 0:11:13, 1.82it/s, loss: 0.6810, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.1058, RCNNLoss.rcnn_loss_bbox: 0.1736, SampledMaskLoss.rcnn_loss_mask: 0.3611 [06/20 10:11:35] Vis4D INFO: Epoch 5: 8550/9726, ETA: 0:10:45, 1.82it/s, loss: 0.7454, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1275, RCNNLoss.rcnn_loss_bbox: 0.1964, SampledMaskLoss.rcnn_loss_mask: 0.3741 [06/20 10:12:37] Vis4D INFO: Epoch 5: 8600/9726, ETA: 0:10:22, 1.81it/s, loss: 0.6590, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1048, RCNNLoss.rcnn_loss_bbox: 0.1528, SampledMaskLoss.rcnn_loss_mask: 0.3595 [06/20 10:13:03] Vis4D INFO: Epoch 5: 8650/9726, ETA: 0:09:55, 1.81it/s, loss: 0.6764, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0271, RCNNLoss.rcnn_loss_cls: 0.0990, RCNNLoss.rcnn_loss_bbox: 0.1636, SampledMaskLoss.rcnn_loss_mask: 0.3694 [06/20 10:13:30] Vis4D INFO: Epoch 5: 8700/9726, ETA: 0:09:27, 1.81it/s, loss: 0.7413, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1194, RCNNLoss.rcnn_loss_bbox: 0.1772, SampledMaskLoss.rcnn_loss_mask: 0.4017 [06/20 10:13:59] Vis4D INFO: Epoch 5: 8750/9726, ETA: 0:08:59, 1.81it/s, loss: 0.7460, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0345, RCNNLoss.rcnn_loss_cls: 0.1257, RCNNLoss.rcnn_loss_bbox: 0.1874, SampledMaskLoss.rcnn_loss_mask: 0.3795 [06/20 10:14:25] Vis4D INFO: Epoch 5: 8800/9726, ETA: 0:08:32, 1.81it/s, loss: 0.7147, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1132, RCNNLoss.rcnn_loss_bbox: 0.1743, SampledMaskLoss.rcnn_loss_mask: 0.3868 [06/20 10:14:53] Vis4D INFO: Epoch 5: 8850/9726, ETA: 0:08:04, 1.81it/s, loss: 0.6668, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.1108, RCNNLoss.rcnn_loss_bbox: 0.1669, SampledMaskLoss.rcnn_loss_mask: 0.3506 [06/20 10:15:20] Vis4D INFO: Epoch 5: 8900/9726, ETA: 0:07:36, 1.81it/s, loss: 0.6698, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1112, RCNNLoss.rcnn_loss_bbox: 0.1725, SampledMaskLoss.rcnn_loss_mask: 0.3442 [06/20 10:15:47] Vis4D INFO: Epoch 5: 8950/9726, ETA: 0:07:09, 1.81it/s, loss: 0.6119, RPNLoss.loss_cls: 0.0096, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0980, RCNNLoss.rcnn_loss_bbox: 0.1570, SampledMaskLoss.rcnn_loss_mask: 0.3221 [06/20 10:16:14] Vis4D INFO: Epoch 5: 9000/9726, ETA: 0:06:41, 1.81it/s, loss: 0.6616, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0328, RCNNLoss.rcnn_loss_cls: 0.1094, RCNNLoss.rcnn_loss_bbox: 0.1682, SampledMaskLoss.rcnn_loss_mask: 0.3401 [06/20 10:16:42] Vis4D INFO: Epoch 5: 9050/9726, ETA: 0:06:13, 1.81it/s, loss: 0.7030, RPNLoss.loss_cls: 0.0157, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1084, RCNNLoss.rcnn_loss_bbox: 0.1694, SampledMaskLoss.rcnn_loss_mask: 0.3805 [06/20 10:17:09] Vis4D INFO: Epoch 5: 9100/9726, ETA: 0:05:46, 1.81it/s, loss: 0.7181, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0261, RCNNLoss.rcnn_loss_cls: 0.1215, RCNNLoss.rcnn_loss_bbox: 0.1716, SampledMaskLoss.rcnn_loss_mask: 0.3859 [06/20 10:17:36] Vis4D INFO: Epoch 5: 9150/9726, ETA: 0:05:18, 1.81it/s, loss: 0.7256, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0318, RCNNLoss.rcnn_loss_cls: 0.1216, RCNNLoss.rcnn_loss_bbox: 0.1795, SampledMaskLoss.rcnn_loss_mask: 0.3738 [06/20 10:18:05] Vis4D INFO: Epoch 5: 9200/9726, ETA: 0:04:50, 1.81it/s, loss: 0.7498, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1252, RCNNLoss.rcnn_loss_bbox: 0.1927, SampledMaskLoss.rcnn_loss_mask: 0.3908 [06/20 10:18:33] Vis4D INFO: Epoch 5: 9250/9726, ETA: 0:04:23, 1.81it/s, loss: 0.7035, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1120, RCNNLoss.rcnn_loss_bbox: 0.1885, SampledMaskLoss.rcnn_loss_mask: 0.3575 [06/20 10:19:01] Vis4D INFO: Epoch 5: 9300/9726, ETA: 0:03:55, 1.81it/s, loss: 0.6936, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.1163, RCNNLoss.rcnn_loss_bbox: 0.1781, SampledMaskLoss.rcnn_loss_mask: 0.3566 [06/20 10:19:29] Vis4D INFO: Epoch 5: 9350/9726, ETA: 0:03:27, 1.81it/s, loss: 0.7182, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1223, RCNNLoss.rcnn_loss_bbox: 0.1876, SampledMaskLoss.rcnn_loss_mask: 0.3635 [06/20 10:19:58] Vis4D INFO: Epoch 5: 9400/9726, ETA: 0:03:00, 1.81it/s, loss: 0.7473, RPNLoss.loss_cls: 0.0163, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1102, RCNNLoss.rcnn_loss_bbox: 0.1622, SampledMaskLoss.rcnn_loss_mask: 0.4285 [06/20 10:20:27] Vis4D INFO: Epoch 5: 9450/9726, ETA: 0:02:32, 1.81it/s, loss: 0.7406, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0281, RCNNLoss.rcnn_loss_cls: 0.1127, RCNNLoss.rcnn_loss_bbox: 0.1768, SampledMaskLoss.rcnn_loss_mask: 0.4092 [06/20 10:20:55] Vis4D INFO: Epoch 5: 9500/9726, ETA: 0:02:05, 1.81it/s, loss: 0.7594, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1262, RCNNLoss.rcnn_loss_bbox: 0.1921, SampledMaskLoss.rcnn_loss_mask: 0.3968 [06/20 10:21:22] Vis4D INFO: Epoch 5: 9550/9726, ETA: 0:01:37, 1.81it/s, loss: 0.6839, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1114, RCNNLoss.rcnn_loss_bbox: 0.1726, SampledMaskLoss.rcnn_loss_mask: 0.3552 [06/20 10:21:49] Vis4D INFO: Epoch 5: 9600/9726, ETA: 0:01:09, 1.81it/s, loss: 0.6484, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0268, RCNNLoss.rcnn_loss_cls: 0.1047, RCNNLoss.rcnn_loss_bbox: 0.1589, SampledMaskLoss.rcnn_loss_mask: 0.3445 [06/20 10:22:16] Vis4D INFO: Epoch 5: 9650/9726, ETA: 0:00:42, 1.81it/s, loss: 0.6831, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0247, RCNNLoss.rcnn_loss_cls: 0.1106, RCNNLoss.rcnn_loss_bbox: 0.1643, SampledMaskLoss.rcnn_loss_mask: 0.3723 [06/20 10:22:47] Vis4D INFO: Epoch 5: 9700/9726, ETA: 0:00:14, 1.81it/s, loss: 0.7439, RPNLoss.loss_cls: 0.0203, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1240, RCNNLoss.rcnn_loss_bbox: 0.1897, SampledMaskLoss.rcnn_loss_mask: 0.3773 [06/20 10:23:19] Vis4D INFO: Testing: 50/1400, ETA: 0:08:32, 2.64it/s [06/20 10:23:35] Vis4D INFO: Testing: 100/1400, ETA: 0:07:44, 2.80it/s [06/20 10:24:07] Vis4D INFO: Testing: 150/1400, ETA: 0:09:18, 2.24it/s [06/20 10:24:21] Vis4D INFO: Testing: 200/1400, ETA: 0:08:07, 2.46it/s [06/20 10:24:38] Vis4D INFO: Testing: 250/1400, ETA: 0:07:32, 2.54it/s [06/20 10:24:49] Vis4D INFO: Testing: 300/1400, ETA: 0:06:38, 2.76it/s [06/20 10:24:58] Vis4D INFO: Testing: 350/1400, ETA: 0:05:55, 2.95it/s [06/20 10:25:15] Vis4D INFO: Testing: 400/1400, ETA: 0:05:37, 2.96it/s [06/20 10:25:32] Vis4D INFO: Testing: 450/1400, ETA: 0:05:22, 2.95it/s [06/20 10:25:45] Vis4D INFO: Testing: 500/1400, ETA: 0:04:57, 3.02it/s [06/20 10:26:02] Vis4D INFO: Testing: 550/1400, ETA: 0:04:41, 3.02it/s [06/20 10:27:18] Vis4D INFO: Testing: 600/1400, ETA: 0:05:44, 2.32it/s [06/20 10:27:36] Vis4D INFO: Testing: 650/1400, ETA: 0:05:19, 2.35it/s [06/20 10:27:48] Vis4D INFO: Testing: 700/1400, ETA: 0:04:47, 2.43it/s [06/20 10:28:04] Vis4D INFO: Testing: 750/1400, ETA: 0:04:23, 2.47it/s [06/20 10:28:14] Vis4D INFO: Testing: 800/1400, ETA: 0:03:55, 2.55it/s [06/20 10:28:28] Vis4D INFO: Testing: 850/1400, ETA: 0:03:32, 2.59it/s [06/20 10:28:41] Vis4D INFO: Testing: 900/1400, ETA: 0:03:09, 2.64it/s [06/20 10:29:00] Vis4D INFO: Testing: 950/1400, ETA: 0:02:50, 2.64it/s [06/20 10:29:10] Vis4D INFO: Testing: 1000/1400, ETA: 0:02:28, 2.70it/s [06/20 10:29:24] Vis4D INFO: Testing: 1050/1400, ETA: 0:02:08, 2.73it/s [06/20 10:29:39] Vis4D INFO: Testing: 1100/1400, ETA: 0:01:48, 2.76it/s [06/20 10:29:55] Vis4D INFO: Testing: 1150/1400, ETA: 0:01:30, 2.77it/s [06/20 10:30:09] Vis4D INFO: Testing: 1200/1400, ETA: 0:01:11, 2.80it/s [06/20 10:30:20] Vis4D INFO: Testing: 1250/1400, ETA: 0:00:52, 2.84it/s [06/20 10:30:30] Vis4D INFO: Testing: 1300/1400, ETA: 0:00:34, 2.89it/s [06/20 10:30:46] Vis4D INFO: Testing: 1350/1400, ETA: 0:00:17, 2.89it/s [06/20 10:31:02] Vis4D INFO: Testing: 1400/1400, ETA: 0:00:00, 2.90it/s [06/20 10:31:02] Vis4D INFO: Running evaluator Scalabel Tracking Evaluator... [06/20 10:31:20] Vis4D INFO: Det/AP: 37.8826 [06/20 10:31:20] Vis4D INFO: Det/AP50: 57.8355 [06/20 10:31:20] Vis4D INFO: Det/AP75: 42.8630 [06/20 10:31:20] Vis4D INFO: Det/APs: 21.0896 [06/20 10:31:20] Vis4D INFO: Det/APm: 64.2941 [06/20 10:31:20] Vis4D INFO: Det/APl: 79.6688 [06/20 10:31:20] Vis4D INFO: Det/AR1: 28.8044 [06/20 10:31:20] Vis4D INFO: Det/AR10: 42.8089 [06/20 10:31:20] Vis4D INFO: Det/AR100: 43.6400 [06/20 10:31:20] Vis4D INFO: Det/ARs: 27.8753 [06/20 10:31:20] Vis4D INFO: Det/ARm: 70.0980 [06/20 10:31:20] Vis4D INFO: Det/ARl: 83.8753 [06/20 10:31:20] Vis4D INFO: Det/AP/pedestrian: 36.5844 [06/20 10:31:20] Vis4D INFO: Det/AP/car: 44.5304 [06/20 10:31:20] Vis4D INFO: Det/AP/truck: 39.6936 [06/20 10:31:20] Vis4D INFO: Det/AP/bus: 33.7604 [06/20 10:31:20] Vis4D INFO: Det/AP/motorcycle: 39.5928 [06/20 10:31:20] Vis4D INFO: Det/AP/bicycle: 33.1338 [06/20 10:31:20] Vis4D INFO: Showing evaluation results for Det [06/20 10:31:20] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl --------------------------------------------------------------------------- pedestrian 36.6 61.5 39.9 27.2 70.1 80.6 11.2 37.8 41.5 32.9 75.4 84.1 car 44.5 64.1 50.7 26.0 64.2 83.1 19.3 48.4 49.6 31.8 70.5 86.6 truck 39.7 61.6 43.3 18.9 60.8 74.0 31.4 45.3 45.3 26.5 66.0 78.8 bus 33.8 51.1 37.9 22.2 68.3 82.2 37.1 42.0 42.0 31.6 74.1 89.5 motorcycle 39.6 57.4 46.8 18.7 68.2 81.5 38.6 44.5 44.5 24.7 73.1 83.9 bicycle 33.1 51.4 38.6 13.5 54.1 76.7 35.2 38.8 38.8 19.8 61.5 80.4 --------------------------------------------------------------------------- OVERALL 37.9 57.8 42.9 21.1 64.3 79.7 28.8 42.8 43.6 27.9 70.1 83.9 [06/20 10:31:46] Vis4D INFO: InsSeg/AP: 0.5777 [06/20 10:31:46] Vis4D INFO: InsSeg/AP50: 0.8605 [06/20 10:31:46] Vis4D INFO: InsSeg/AP75: 0.5758 [06/20 10:31:46] Vis4D INFO: InsSeg/APs: 0.3959 [06/20 10:31:46] Vis4D INFO: InsSeg/APm: 0.8356 [06/20 10:31:46] Vis4D INFO: InsSeg/APl: 1.7075 [06/20 10:31:46] Vis4D INFO: InsSeg/AR1: 0.3854 [06/20 10:31:46] Vis4D INFO: InsSeg/AR10: 0.4870 [06/20 10:31:46] Vis4D INFO: InsSeg/AR100: 0.4870 [06/20 10:31:46] Vis4D INFO: InsSeg/ARs: 0.2995 [06/20 10:31:46] Vis4D INFO: InsSeg/ARm: 0.8131 [06/20 10:31:46] Vis4D INFO: InsSeg/ARl: 1.4617 [06/20 10:31:46] Vis4D INFO: InsSeg/AP/pedestrian: 0.1972 [06/20 10:31:46] Vis4D INFO: InsSeg/AP/car: 1.4237 [06/20 10:31:46] Vis4D INFO: InsSeg/AP/truck: 0.9901 [06/20 10:31:46] Vis4D INFO: InsSeg/AP/bus: 0.0000 [06/20 10:31:46] Vis4D INFO: InsSeg/AP/motorcycle: 0.2565 [06/20 10:31:46] Vis4D INFO: InsSeg/AP/bicycle: 0.5986 [06/20 10:31:46] Vis4D INFO: Showing evaluation results for InsSeg [06/20 10:31:46] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl -------------------------------------------------------------------------- pedestrian 0.2 0.5 0.2 0.2 0.6 0.0 0.2 0.2 0.2 0.2 0.7 0.0 car 1.4 2.0 1.5 1.1 1.5 3.4 1.0 1.5 1.5 1.2 1.6 3.1 truck 1.0 1.0 1.0 1.0 0.4 1.8 0.3 0.3 0.3 0.2 0.4 0.9 bus 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 motorcycle 0.3 0.5 0.1 0.0 0.9 0.0 0.2 0.2 0.2 0.0 0.8 0.0 bicycle 0.6 1.2 0.7 0.1 1.6 5.0 0.7 0.7 0.7 0.2 1.3 4.7 -------------------------------------------------------------------------- OVERALL 0.6 0.9 0.6 0.4 0.8 1.7 0.4 0.5 0.5 0.3 0.8 1.5 [06/20 10:32:18] Vis4D INFO: Epoch 6: 50/9726, ETA: 1:38:42, 1.63it/s, loss: 0.7188, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1070, RCNNLoss.rcnn_loss_bbox: 0.1645, SampledMaskLoss.rcnn_loss_mask: 0.4063 [06/20 10:32:48] Vis4D INFO: Epoch 6: 100/9726, ETA: 1:37:43, 1.64it/s, loss: 0.6659, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0247, RCNNLoss.rcnn_loss_cls: 0.0993, RCNNLoss.rcnn_loss_bbox: 0.1444, SampledMaskLoss.rcnn_loss_mask: 0.3891 [06/20 10:33:19] Vis4D INFO: Epoch 6: 150/9726, ETA: 1:37:24, 1.64it/s, loss: 0.7050, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1144, RCNNLoss.rcnn_loss_bbox: 0.1834, SampledMaskLoss.rcnn_loss_mask: 0.3631 [06/20 10:33:48] Vis4D INFO: Epoch 6: 200/9726, ETA: 1:35:38, 1.66it/s, loss: 0.7484, RPNLoss.loss_cls: 0.0162, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1186, RCNNLoss.rcnn_loss_bbox: 0.1707, SampledMaskLoss.rcnn_loss_mask: 0.4115 [06/20 10:34:15] Vis4D INFO: Epoch 6: 250/9726, ETA: 1:33:38, 1.69it/s, loss: 0.6892, RPNLoss.loss_cls: 0.0101, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.1113, RCNNLoss.rcnn_loss_bbox: 0.1568, SampledMaskLoss.rcnn_loss_mask: 0.3895 [06/20 10:34:44] Vis4D INFO: Epoch 6: 300/9726, ETA: 1:32:20, 1.70it/s, loss: 0.6620, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.1106, RCNNLoss.rcnn_loss_bbox: 0.1669, SampledMaskLoss.rcnn_loss_mask: 0.3500 [06/20 10:35:10] Vis4D INFO: Epoch 6: 350/9726, ETA: 1:30:36, 1.72it/s, loss: 0.6674, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.1023, RCNNLoss.rcnn_loss_bbox: 0.1556, SampledMaskLoss.rcnn_loss_mask: 0.3723 [06/20 10:35:37] Vis4D INFO: Epoch 6: 400/9726, ETA: 1:29:19, 1.74it/s, loss: 0.6939, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0256, RCNNLoss.rcnn_loss_cls: 0.1072, RCNNLoss.rcnn_loss_bbox: 0.1725, SampledMaskLoss.rcnn_loss_mask: 0.3757 [06/20 10:36:05] Vis4D INFO: Epoch 6: 450/9726, ETA: 1:28:40, 1.74it/s, loss: 0.6431, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0342, RCNNLoss.rcnn_loss_cls: 0.1039, RCNNLoss.rcnn_loss_bbox: 0.1673, SampledMaskLoss.rcnn_loss_mask: 0.3247 [06/20 10:36:32] Vis4D INFO: Epoch 6: 500/9726, ETA: 1:27:35, 1.76it/s, loss: 0.6762, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1084, RCNNLoss.rcnn_loss_bbox: 0.1669, SampledMaskLoss.rcnn_loss_mask: 0.3618 [06/20 10:37:00] Vis4D INFO: Epoch 6: 550/9726, ETA: 1:27:02, 1.76it/s, loss: 0.6845, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0283, RCNNLoss.rcnn_loss_cls: 0.1070, RCNNLoss.rcnn_loss_bbox: 0.1701, SampledMaskLoss.rcnn_loss_mask: 0.3677 [06/20 10:37:29] Vis4D INFO: Epoch 6: 600/9726, ETA: 1:26:32, 1.76it/s, loss: 0.6860, RPNLoss.loss_cls: 0.0103, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1076, RCNNLoss.rcnn_loss_bbox: 0.1741, SampledMaskLoss.rcnn_loss_mask: 0.3641 [06/20 10:37:56] Vis4D INFO: Epoch 6: 650/9726, ETA: 1:25:46, 1.76it/s, loss: 0.6819, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1091, RCNNLoss.rcnn_loss_bbox: 0.1695, SampledMaskLoss.rcnn_loss_mask: 0.3607 [06/20 10:38:24] Vis4D INFO: Epoch 6: 700/9726, ETA: 1:25:16, 1.76it/s, loss: 0.7137, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1209, RCNNLoss.rcnn_loss_bbox: 0.1882, SampledMaskLoss.rcnn_loss_mask: 0.3614 [06/20 10:38:51] Vis4D INFO: Epoch 6: 750/9726, ETA: 1:24:30, 1.77it/s, loss: 0.6688, RPNLoss.loss_cls: 0.0098, RPNLoss.loss_bbox: 0.0306, RCNNLoss.rcnn_loss_cls: 0.1033, RCNNLoss.rcnn_loss_bbox: 0.1634, SampledMaskLoss.rcnn_loss_mask: 0.3616 [06/20 10:39:20] Vis4D INFO: Epoch 6: 800/9726, ETA: 1:24:12, 1.77it/s, loss: 0.6307, RPNLoss.loss_cls: 0.0173, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.0979, RCNNLoss.rcnn_loss_bbox: 0.1537, SampledMaskLoss.rcnn_loss_mask: 0.3292 [06/20 10:39:49] Vis4D INFO: Epoch 6: 850/9726, ETA: 1:23:49, 1.76it/s, loss: 0.6311, RPNLoss.loss_cls: 0.0161, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.0978, RCNNLoss.rcnn_loss_bbox: 0.1543, SampledMaskLoss.rcnn_loss_mask: 0.3358 [06/20 10:40:18] Vis4D INFO: Epoch 6: 900/9726, ETA: 1:23:27, 1.76it/s, loss: 0.6481, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1022, RCNNLoss.rcnn_loss_bbox: 0.1639, SampledMaskLoss.rcnn_loss_mask: 0.3399 [06/20 10:40:47] Vis4D INFO: Epoch 6: 950/9726, ETA: 1:23:10, 1.76it/s, loss: 0.7082, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0339, RCNNLoss.rcnn_loss_cls: 0.1036, RCNNLoss.rcnn_loss_bbox: 0.1697, SampledMaskLoss.rcnn_loss_mask: 0.3840 [06/20 10:41:16] Vis4D INFO: Epoch 6: 1000/9726, ETA: 1:22:41, 1.76it/s, loss: 0.6781, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1086, RCNNLoss.rcnn_loss_bbox: 0.1759, SampledMaskLoss.rcnn_loss_mask: 0.3470 [06/20 10:41:44] Vis4D INFO: Epoch 6: 1050/9726, ETA: 1:22:10, 1.76it/s, loss: 0.7250, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0331, RCNNLoss.rcnn_loss_cls: 0.1226, RCNNLoss.rcnn_loss_bbox: 0.1953, SampledMaskLoss.rcnn_loss_mask: 0.3610 [06/20 10:42:12] Vis4D INFO: Epoch 6: 1100/9726, ETA: 1:21:42, 1.76it/s, loss: 0.6673, RPNLoss.loss_cls: 0.0161, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.1187, RCNNLoss.rcnn_loss_bbox: 0.1622, SampledMaskLoss.rcnn_loss_mask: 0.3433 [06/20 10:42:40] Vis4D INFO: Epoch 6: 1150/9726, ETA: 1:21:04, 1.76it/s, loss: 0.6521, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.1047, RCNNLoss.rcnn_loss_bbox: 0.1606, SampledMaskLoss.rcnn_loss_mask: 0.3456 [06/20 10:43:09] Vis4D INFO: Epoch 6: 1200/9726, ETA: 1:20:41, 1.76it/s, loss: 0.6679, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1081, RCNNLoss.rcnn_loss_bbox: 0.1704, SampledMaskLoss.rcnn_loss_mask: 0.3498 [06/20 10:43:37] Vis4D INFO: Epoch 6: 1250/9726, ETA: 1:20:10, 1.76it/s, loss: 0.6142, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1049, RCNNLoss.rcnn_loss_bbox: 0.1619, SampledMaskLoss.rcnn_loss_mask: 0.3106 [06/20 10:44:06] Vis4D INFO: Epoch 6: 1300/9726, ETA: 1:19:48, 1.76it/s, loss: 0.7249, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0305, RCNNLoss.rcnn_loss_cls: 0.1170, RCNNLoss.rcnn_loss_bbox: 0.1776, SampledMaskLoss.rcnn_loss_mask: 0.3867 [06/20 10:44:33] Vis4D INFO: Epoch 6: 1350/9726, ETA: 1:19:09, 1.76it/s, loss: 0.6978, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1070, RCNNLoss.rcnn_loss_bbox: 0.1696, SampledMaskLoss.rcnn_loss_mask: 0.3794 [06/20 10:45:03] Vis4D INFO: Epoch 6: 1400/9726, ETA: 1:18:51, 1.76it/s, loss: 0.6580, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1050, RCNNLoss.rcnn_loss_bbox: 0.1648, SampledMaskLoss.rcnn_loss_mask: 0.3464 [06/20 10:45:32] Vis4D INFO: Epoch 6: 1450/9726, ETA: 1:18:29, 1.76it/s, loss: 0.6803, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0268, RCNNLoss.rcnn_loss_cls: 0.1062, RCNNLoss.rcnn_loss_bbox: 0.1690, SampledMaskLoss.rcnn_loss_mask: 0.3691 [06/20 10:46:03] Vis4D INFO: Epoch 6: 1500/9726, ETA: 1:18:13, 1.75it/s, loss: 0.7331, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1230, RCNNLoss.rcnn_loss_bbox: 0.1843, SampledMaskLoss.rcnn_loss_mask: 0.3817 [06/20 10:46:33] Vis4D INFO: Epoch 6: 1550/9726, ETA: 1:17:52, 1.75it/s, loss: 0.6795, RPNLoss.loss_cls: 0.0163, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1127, RCNNLoss.rcnn_loss_bbox: 0.1691, SampledMaskLoss.rcnn_loss_mask: 0.3503 [06/20 10:47:03] Vis4D INFO: Epoch 6: 1600/9726, ETA: 1:17:31, 1.75it/s, loss: 0.6963, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.1037, RCNNLoss.rcnn_loss_bbox: 0.1592, SampledMaskLoss.rcnn_loss_mask: 0.3943 [06/20 10:47:33] Vis4D INFO: Epoch 6: 1650/9726, ETA: 1:17:09, 1.74it/s, loss: 0.7191, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1177, RCNNLoss.rcnn_loss_bbox: 0.1891, SampledMaskLoss.rcnn_loss_mask: 0.3691 [06/20 10:48:04] Vis4D INFO: Epoch 6: 1700/9726, ETA: 1:16:49, 1.74it/s, loss: 0.7156, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1171, RCNNLoss.rcnn_loss_bbox: 0.1803, SampledMaskLoss.rcnn_loss_mask: 0.3767 [06/20 10:48:34] Vis4D INFO: Epoch 6: 1750/9726, ETA: 1:16:28, 1.74it/s, loss: 0.6630, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1178, RCNNLoss.rcnn_loss_bbox: 0.1797, SampledMaskLoss.rcnn_loss_mask: 0.3235 [06/20 10:49:02] Vis4D INFO: Epoch 6: 1800/9726, ETA: 1:15:57, 1.74it/s, loss: 0.6488, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1085, RCNNLoss.rcnn_loss_bbox: 0.1678, SampledMaskLoss.rcnn_loss_mask: 0.3299 [06/20 10:49:31] Vis4D INFO: Epoch 6: 1850/9726, ETA: 1:15:29, 1.74it/s, loss: 0.6022, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0942, RCNNLoss.rcnn_loss_bbox: 0.1347, SampledMaskLoss.rcnn_loss_mask: 0.3380 [06/20 10:49:59] Vis4D INFO: Epoch 6: 1900/9726, ETA: 1:14:56, 1.74it/s, loss: 0.6992, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1070, RCNNLoss.rcnn_loss_bbox: 0.1755, SampledMaskLoss.rcnn_loss_mask: 0.3747 [06/20 10:50:25] Vis4D INFO: Epoch 6: 1950/9726, ETA: 1:14:18, 1.74it/s, loss: 0.6853, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1064, RCNNLoss.rcnn_loss_bbox: 0.1706, SampledMaskLoss.rcnn_loss_mask: 0.3632 [06/20 10:50:54] Vis4D INFO: Epoch 6: 2000/9726, ETA: 1:13:50, 1.74it/s, loss: 0.6846, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1107, RCNNLoss.rcnn_loss_bbox: 0.1750, SampledMaskLoss.rcnn_loss_mask: 0.3529 [06/20 10:51:26] Vis4D INFO: Epoch 6: 2050/9726, ETA: 1:13:32, 1.74it/s, loss: 0.6937, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1100, RCNNLoss.rcnn_loss_bbox: 0.1765, SampledMaskLoss.rcnn_loss_mask: 0.3621 [06/20 10:51:57] Vis4D INFO: Epoch 6: 2100/9726, ETA: 1:13:11, 1.74it/s, loss: 0.6915, RPNLoss.loss_cls: 0.0152, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.1158, RCNNLoss.rcnn_loss_bbox: 0.1739, SampledMaskLoss.rcnn_loss_mask: 0.3608 [06/20 10:52:28] Vis4D INFO: Epoch 6: 2150/9726, ETA: 1:12:51, 1.73it/s, loss: 0.7405, RPNLoss.loss_cls: 0.0186, RPNLoss.loss_bbox: 0.0329, RCNNLoss.rcnn_loss_cls: 0.1136, RCNNLoss.rcnn_loss_bbox: 0.1901, SampledMaskLoss.rcnn_loss_mask: 0.3852 [06/20 10:53:00] Vis4D INFO: Epoch 6: 2200/9726, ETA: 1:12:34, 1.73it/s, loss: 0.7018, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.1213, RCNNLoss.rcnn_loss_bbox: 0.1837, SampledMaskLoss.rcnn_loss_mask: 0.3568 [06/20 10:53:31] Vis4D INFO: Epoch 6: 2250/9726, ETA: 1:12:12, 1.73it/s, loss: 0.7719, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0333, RCNNLoss.rcnn_loss_cls: 0.1251, RCNNLoss.rcnn_loss_bbox: 0.1906, SampledMaskLoss.rcnn_loss_mask: 0.4075 [06/20 10:54:02] Vis4D INFO: Epoch 6: 2300/9726, ETA: 1:11:49, 1.72it/s, loss: 0.6911, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1166, RCNNLoss.rcnn_loss_bbox: 0.1743, SampledMaskLoss.rcnn_loss_mask: 0.3568 [06/20 10:54:31] Vis4D INFO: Epoch 6: 2350/9726, ETA: 1:11:19, 1.72it/s, loss: 0.7359, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0374, RCNNLoss.rcnn_loss_cls: 0.1263, RCNNLoss.rcnn_loss_bbox: 0.1947, SampledMaskLoss.rcnn_loss_mask: 0.3632 [06/20 10:54:57] Vis4D INFO: Epoch 6: 2400/9726, ETA: 1:10:42, 1.73it/s, loss: 0.6382, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1053, RCNNLoss.rcnn_loss_bbox: 0.1710, SampledMaskLoss.rcnn_loss_mask: 0.3206 [06/20 10:55:25] Vis4D INFO: Epoch 6: 2450/9726, ETA: 1:10:11, 1.73it/s, loss: 0.6997, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1092, RCNNLoss.rcnn_loss_bbox: 0.1726, SampledMaskLoss.rcnn_loss_mask: 0.3716 [06/20 10:55:54] Vis4D INFO: Epoch 6: 2500/9726, ETA: 1:09:41, 1.73it/s, loss: 0.6934, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1206, RCNNLoss.rcnn_loss_bbox: 0.1869, SampledMaskLoss.rcnn_loss_mask: 0.3412 [06/20 10:56:21] Vis4D INFO: Epoch 6: 2550/9726, ETA: 1:09:06, 1.73it/s, loss: 0.7359, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.1107, RCNNLoss.rcnn_loss_bbox: 0.1578, SampledMaskLoss.rcnn_loss_mask: 0.4299 [06/20 10:56:48] Vis4D INFO: Epoch 6: 2600/9726, ETA: 1:08:33, 1.73it/s, loss: 0.7625, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0330, RCNNLoss.rcnn_loss_cls: 0.1156, RCNNLoss.rcnn_loss_bbox: 0.1782, SampledMaskLoss.rcnn_loss_mask: 0.4201 [06/20 10:57:17] Vis4D INFO: Epoch 6: 2650/9726, ETA: 1:08:04, 1.73it/s, loss: 0.6774, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0314, RCNNLoss.rcnn_loss_cls: 0.1105, RCNNLoss.rcnn_loss_bbox: 0.1722, SampledMaskLoss.rcnn_loss_mask: 0.3506 [06/20 10:57:48] Vis4D INFO: Epoch 6: 2700/9726, ETA: 1:07:40, 1.73it/s, loss: 0.6804, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.1064, RCNNLoss.rcnn_loss_bbox: 0.1710, SampledMaskLoss.rcnn_loss_mask: 0.3645 [06/20 10:58:17] Vis4D INFO: Epoch 6: 2750/9726, ETA: 1:07:14, 1.73it/s, loss: 0.7055, RPNLoss.loss_cls: 0.0173, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1103, RCNNLoss.rcnn_loss_bbox: 0.1703, SampledMaskLoss.rcnn_loss_mask: 0.3773 [06/20 10:58:46] Vis4D INFO: Epoch 6: 2800/9726, ETA: 1:06:44, 1.73it/s, loss: 0.6304, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0219, RCNNLoss.rcnn_loss_cls: 0.1085, RCNNLoss.rcnn_loss_bbox: 0.1647, SampledMaskLoss.rcnn_loss_mask: 0.3239 [06/20 10:59:17] Vis4D INFO: Epoch 6: 2850/9726, ETA: 1:06:19, 1.73it/s, loss: 0.6925, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0283, RCNNLoss.rcnn_loss_cls: 0.1128, RCNNLoss.rcnn_loss_bbox: 0.1759, SampledMaskLoss.rcnn_loss_mask: 0.3650 [06/20 10:59:48] Vis4D INFO: Epoch 6: 2900/9726, ETA: 1:05:55, 1.73it/s, loss: 0.7140, RPNLoss.loss_cls: 0.0157, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1216, RCNNLoss.rcnn_loss_bbox: 0.1752, SampledMaskLoss.rcnn_loss_mask: 0.3708 [06/20 11:00:18] Vis4D INFO: Epoch 6: 2950/9726, ETA: 1:05:30, 1.72it/s, loss: 0.6997, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1135, RCNNLoss.rcnn_loss_bbox: 0.1733, SampledMaskLoss.rcnn_loss_mask: 0.3699 [06/20 11:00:49] Vis4D INFO: Epoch 6: 3000/9726, ETA: 1:05:04, 1.72it/s, loss: 0.6976, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1156, RCNNLoss.rcnn_loss_bbox: 0.1858, SampledMaskLoss.rcnn_loss_mask: 0.3525 [06/20 11:01:18] Vis4D INFO: Epoch 6: 3050/9726, ETA: 1:04:35, 1.72it/s, loss: 0.6931, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1151, RCNNLoss.rcnn_loss_bbox: 0.1745, SampledMaskLoss.rcnn_loss_mask: 0.3636 [06/20 11:01:46] Vis4D INFO: Epoch 6: 3100/9726, ETA: 1:04:05, 1.72it/s, loss: 0.6414, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.1044, RCNNLoss.rcnn_loss_bbox: 0.1669, SampledMaskLoss.rcnn_loss_mask: 0.3307 [06/20 11:02:15] Vis4D INFO: Epoch 6: 3150/9726, ETA: 1:03:35, 1.72it/s, loss: 0.7034, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1158, RCNNLoss.rcnn_loss_bbox: 0.1766, SampledMaskLoss.rcnn_loss_mask: 0.3667 [06/20 11:02:43] Vis4D INFO: Epoch 6: 3200/9726, ETA: 1:03:03, 1.72it/s, loss: 0.6424, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0271, RCNNLoss.rcnn_loss_cls: 0.1031, RCNNLoss.rcnn_loss_bbox: 0.1574, SampledMaskLoss.rcnn_loss_mask: 0.3415 [06/20 11:03:10] Vis4D INFO: Epoch 6: 3250/9726, ETA: 1:02:30, 1.73it/s, loss: 0.6456, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0241, RCNNLoss.rcnn_loss_cls: 0.1013, RCNNLoss.rcnn_loss_bbox: 0.1520, SampledMaskLoss.rcnn_loss_mask: 0.3569 [06/20 11:03:39] Vis4D INFO: Epoch 6: 3300/9726, ETA: 1:02:02, 1.73it/s, loss: 0.6920, RPNLoss.loss_cls: 0.0182, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.1129, RCNNLoss.rcnn_loss_bbox: 0.1727, SampledMaskLoss.rcnn_loss_mask: 0.3613 [06/20 11:04:11] Vis4D INFO: Epoch 6: 3350/9726, ETA: 1:01:39, 1.72it/s, loss: 0.7458, RPNLoss.loss_cls: 0.0162, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1285, RCNNLoss.rcnn_loss_bbox: 0.1905, SampledMaskLoss.rcnn_loss_mask: 0.3765 [06/20 11:04:42] Vis4D INFO: Epoch 6: 3400/9726, ETA: 1:01:14, 1.72it/s, loss: 0.7195, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1183, RCNNLoss.rcnn_loss_bbox: 0.1724, SampledMaskLoss.rcnn_loss_mask: 0.3836 [06/20 11:05:12] Vis4D INFO: Epoch 6: 3450/9726, ETA: 1:00:47, 1.72it/s, loss: 0.6772, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0352, RCNNLoss.rcnn_loss_cls: 0.1154, RCNNLoss.rcnn_loss_bbox: 0.1830, SampledMaskLoss.rcnn_loss_mask: 0.3304 [06/20 11:05:42] Vis4D INFO: Epoch 6: 3500/9726, ETA: 1:00:19, 1.72it/s, loss: 0.6643, RPNLoss.loss_cls: 0.0176, RPNLoss.loss_bbox: 0.0366, RCNNLoss.rcnn_loss_cls: 0.1231, RCNNLoss.rcnn_loss_bbox: 0.1777, SampledMaskLoss.rcnn_loss_mask: 0.3093 [06/20 11:06:11] Vis4D INFO: Epoch 6: 3550/9726, ETA: 0:59:50, 1.72it/s, loss: 0.7151, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1237, RCNNLoss.rcnn_loss_bbox: 0.1866, SampledMaskLoss.rcnn_loss_mask: 0.3600 [06/20 11:06:41] Vis4D INFO: Epoch 6: 3600/9726, ETA: 0:59:22, 1.72it/s, loss: 0.6822, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.1134, RCNNLoss.rcnn_loss_bbox: 0.1776, SampledMaskLoss.rcnn_loss_mask: 0.3477 [06/20 11:07:10] Vis4D INFO: Epoch 6: 3650/9726, ETA: 0:58:54, 1.72it/s, loss: 0.7122, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1218, RCNNLoss.rcnn_loss_bbox: 0.1910, SampledMaskLoss.rcnn_loss_mask: 0.3530 [06/20 11:07:40] Vis4D INFO: Epoch 6: 3700/9726, ETA: 0:58:26, 1.72it/s, loss: 0.6815, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1033, RCNNLoss.rcnn_loss_bbox: 0.1691, SampledMaskLoss.rcnn_loss_mask: 0.3666 [06/20 11:08:11] Vis4D INFO: Epoch 6: 3750/9726, ETA: 0:58:00, 1.72it/s, loss: 0.6857, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.1049, RCNNLoss.rcnn_loss_bbox: 0.1772, SampledMaskLoss.rcnn_loss_mask: 0.3613 [06/20 11:08:41] Vis4D INFO: Epoch 6: 3800/9726, ETA: 0:57:32, 1.72it/s, loss: 0.6778, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1176, RCNNLoss.rcnn_loss_bbox: 0.1763, SampledMaskLoss.rcnn_loss_mask: 0.3401 [06/20 11:09:12] Vis4D INFO: Epoch 6: 3850/9726, ETA: 0:57:06, 1.71it/s, loss: 0.5992, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1026, RCNNLoss.rcnn_loss_bbox: 0.1568, SampledMaskLoss.rcnn_loss_mask: 0.3000 [06/20 11:09:42] Vis4D INFO: Epoch 6: 3900/9726, ETA: 0:56:38, 1.71it/s, loss: 0.7084, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1224, RCNNLoss.rcnn_loss_bbox: 0.1796, SampledMaskLoss.rcnn_loss_mask: 0.3607 [06/20 11:10:11] Vis4D INFO: Epoch 6: 3950/9726, ETA: 0:56:09, 1.71it/s, loss: 0.6621, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1071, RCNNLoss.rcnn_loss_bbox: 0.1754, SampledMaskLoss.rcnn_loss_mask: 0.3387 [06/20 11:10:41] Vis4D INFO: Epoch 6: 4000/9726, ETA: 0:55:41, 1.71it/s, loss: 0.7093, RPNLoss.loss_cls: 0.0163, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.1111, RCNNLoss.rcnn_loss_bbox: 0.1684, SampledMaskLoss.rcnn_loss_mask: 0.3865 [06/20 11:11:08] Vis4D INFO: Epoch 6: 4050/9726, ETA: 0:55:08, 1.72it/s, loss: 0.6394, RPNLoss.loss_cls: 0.0110, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.0971, RCNNLoss.rcnn_loss_bbox: 0.1547, SampledMaskLoss.rcnn_loss_mask: 0.3496 [06/20 11:11:36] Vis4D INFO: Epoch 6: 4100/9726, ETA: 0:54:38, 1.72it/s, loss: 0.6479, RPNLoss.loss_cls: 0.0161, RPNLoss.loss_bbox: 0.0256, RCNNLoss.rcnn_loss_cls: 0.1054, RCNNLoss.rcnn_loss_bbox: 0.1594, SampledMaskLoss.rcnn_loss_mask: 0.3414 [06/20 11:12:06] Vis4D INFO: Epoch 6: 4150/9726, ETA: 0:54:09, 1.72it/s, loss: 0.6711, RPNLoss.loss_cls: 0.0193, RPNLoss.loss_bbox: 0.0329, RCNNLoss.rcnn_loss_cls: 0.1165, RCNNLoss.rcnn_loss_bbox: 0.1800, SampledMaskLoss.rcnn_loss_mask: 0.3225 [06/20 11:12:35] Vis4D INFO: Epoch 6: 4200/9726, ETA: 0:53:40, 1.72it/s, loss: 0.6685, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1142, RCNNLoss.rcnn_loss_bbox: 0.1784, SampledMaskLoss.rcnn_loss_mask: 0.3318 [06/20 11:13:01] Vis4D INFO: Epoch 6: 4250/9726, ETA: 0:53:07, 1.72it/s, loss: 0.6479, RPNLoss.loss_cls: 0.0152, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1141, RCNNLoss.rcnn_loss_bbox: 0.1803, SampledMaskLoss.rcnn_loss_mask: 0.3074 [06/20 11:13:29] Vis4D INFO: Epoch 6: 4300/9726, ETA: 0:52:37, 1.72it/s, loss: 0.6349, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.1052, RCNNLoss.rcnn_loss_bbox: 0.1564, SampledMaskLoss.rcnn_loss_mask: 0.3311 [06/20 11:13:57] Vis4D INFO: Epoch 6: 4350/9726, ETA: 0:52:06, 1.72it/s, loss: 0.6639, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.1079, RCNNLoss.rcnn_loss_bbox: 0.1681, SampledMaskLoss.rcnn_loss_mask: 0.3464 [06/20 11:14:24] Vis4D INFO: Epoch 6: 4400/9726, ETA: 0:51:35, 1.72it/s, loss: 0.7010, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0358, RCNNLoss.rcnn_loss_cls: 0.1207, RCNNLoss.rcnn_loss_bbox: 0.1905, SampledMaskLoss.rcnn_loss_mask: 0.3399 [06/20 11:14:52] Vis4D INFO: Epoch 6: 4450/9726, ETA: 0:51:04, 1.72it/s, loss: 0.6447, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1090, RCNNLoss.rcnn_loss_bbox: 0.1643, SampledMaskLoss.rcnn_loss_mask: 0.3292 [06/20 11:15:19] Vis4D INFO: Epoch 6: 4500/9726, ETA: 0:50:32, 1.72it/s, loss: 0.6692, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0272, RCNNLoss.rcnn_loss_cls: 0.1124, RCNNLoss.rcnn_loss_bbox: 0.1785, SampledMaskLoss.rcnn_loss_mask: 0.3380 [06/20 11:15:47] Vis4D INFO: Epoch 6: 4550/9726, ETA: 0:50:02, 1.72it/s, loss: 0.6823, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.1154, RCNNLoss.rcnn_loss_bbox: 0.1658, SampledMaskLoss.rcnn_loss_mask: 0.3609 [06/20 11:16:16] Vis4D INFO: Epoch 6: 4600/9726, ETA: 0:49:33, 1.72it/s, loss: 0.6594, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1089, RCNNLoss.rcnn_loss_bbox: 0.1708, SampledMaskLoss.rcnn_loss_mask: 0.3354 [06/20 11:16:44] Vis4D INFO: Epoch 6: 4650/9726, ETA: 0:49:03, 1.72it/s, loss: 0.6756, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0235, RCNNLoss.rcnn_loss_cls: 0.1013, RCNNLoss.rcnn_loss_bbox: 0.1591, SampledMaskLoss.rcnn_loss_mask: 0.3788 [06/20 11:17:13] Vis4D INFO: Epoch 6: 4700/9726, ETA: 0:48:35, 1.72it/s, loss: 0.6514, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0281, RCNNLoss.rcnn_loss_cls: 0.1144, RCNNLoss.rcnn_loss_bbox: 0.1680, SampledMaskLoss.rcnn_loss_mask: 0.3287 [06/20 11:17:45] Vis4D INFO: Epoch 6: 4750/9726, ETA: 0:48:09, 1.72it/s, loss: 0.6775, RPNLoss.loss_cls: 0.0106, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1040, RCNNLoss.rcnn_loss_bbox: 0.1750, SampledMaskLoss.rcnn_loss_mask: 0.3563 [06/20 11:18:16] Vis4D INFO: Epoch 6: 4800/9726, ETA: 0:47:41, 1.72it/s, loss: 0.7118, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0315, RCNNLoss.rcnn_loss_cls: 0.1182, RCNNLoss.rcnn_loss_bbox: 0.1796, SampledMaskLoss.rcnn_loss_mask: 0.3699 [06/20 11:18:45] Vis4D INFO: Epoch 6: 4850/9726, ETA: 0:47:13, 1.72it/s, loss: 0.6465, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.1009, RCNNLoss.rcnn_loss_bbox: 0.1642, SampledMaskLoss.rcnn_loss_mask: 0.3415 [06/20 11:19:14] Vis4D INFO: Epoch 6: 4900/9726, ETA: 0:46:44, 1.72it/s, loss: 0.6958, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1112, RCNNLoss.rcnn_loss_bbox: 0.1772, SampledMaskLoss.rcnn_loss_mask: 0.3626 [06/20 11:19:43] Vis4D INFO: Epoch 6: 4950/9726, ETA: 0:46:14, 1.72it/s, loss: 0.7207, RPNLoss.loss_cls: 0.0215, RPNLoss.loss_bbox: 0.0336, RCNNLoss.rcnn_loss_cls: 0.1172, RCNNLoss.rcnn_loss_bbox: 0.1731, SampledMaskLoss.rcnn_loss_mask: 0.3752 [06/20 11:20:12] Vis4D INFO: Epoch 6: 5000/9726, ETA: 0:45:45, 1.72it/s, loss: 0.7022, RPNLoss.loss_cls: 0.0179, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1135, RCNNLoss.rcnn_loss_bbox: 0.1754, SampledMaskLoss.rcnn_loss_mask: 0.3655 [06/20 11:20:41] Vis4D INFO: Epoch 6: 5050/9726, ETA: 0:45:16, 1.72it/s, loss: 0.6566, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.1049, RCNNLoss.rcnn_loss_bbox: 0.1527, SampledMaskLoss.rcnn_loss_mask: 0.3591 [06/20 11:21:08] Vis4D INFO: Epoch 6: 5100/9726, ETA: 0:44:45, 1.72it/s, loss: 0.6694, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.1029, RCNNLoss.rcnn_loss_bbox: 0.1594, SampledMaskLoss.rcnn_loss_mask: 0.3644 [06/20 11:21:36] Vis4D INFO: Epoch 6: 5150/9726, ETA: 0:44:15, 1.72it/s, loss: 0.6492, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1114, RCNNLoss.rcnn_loss_bbox: 0.1704, SampledMaskLoss.rcnn_loss_mask: 0.3203 [06/20 11:22:04] Vis4D INFO: Epoch 6: 5200/9726, ETA: 0:43:45, 1.72it/s, loss: 0.7378, RPNLoss.loss_cls: 0.0162, RPNLoss.loss_bbox: 0.0334, RCNNLoss.rcnn_loss_cls: 0.1270, RCNNLoss.rcnn_loss_bbox: 0.1884, SampledMaskLoss.rcnn_loss_mask: 0.3728 [06/20 11:22:32] Vis4D INFO: Epoch 6: 5250/9726, ETA: 0:43:15, 1.72it/s, loss: 0.6980, RPNLoss.loss_cls: 0.0175, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1180, RCNNLoss.rcnn_loss_bbox: 0.1756, SampledMaskLoss.rcnn_loss_mask: 0.3550 [06/20 11:23:00] Vis4D INFO: Epoch 6: 5300/9726, ETA: 0:42:46, 1.72it/s, loss: 0.6967, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0314, RCNNLoss.rcnn_loss_cls: 0.1022, RCNNLoss.rcnn_loss_bbox: 0.1596, SampledMaskLoss.rcnn_loss_mask: 0.3899 [06/20 11:23:26] Vis4D INFO: Epoch 6: 5350/9726, ETA: 0:42:15, 1.73it/s, loss: 0.6944, RPNLoss.loss_cls: 0.0102, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.1115, RCNNLoss.rcnn_loss_bbox: 0.1653, SampledMaskLoss.rcnn_loss_mask: 0.3820 [06/20 11:23:54] Vis4D INFO: Epoch 6: 5400/9726, ETA: 0:41:44, 1.73it/s, loss: 0.6528, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1085, RCNNLoss.rcnn_loss_bbox: 0.1825, SampledMaskLoss.rcnn_loss_mask: 0.3251 [06/20 11:24:22] Vis4D INFO: Epoch 6: 5450/9726, ETA: 0:41:15, 1.73it/s, loss: 0.7214, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1144, RCNNLoss.rcnn_loss_bbox: 0.1768, SampledMaskLoss.rcnn_loss_mask: 0.3895 [06/20 11:24:52] Vis4D INFO: Epoch 6: 5500/9726, ETA: 0:40:47, 1.73it/s, loss: 0.7685, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0404, RCNNLoss.rcnn_loss_cls: 0.1295, RCNNLoss.rcnn_loss_bbox: 0.2048, SampledMaskLoss.rcnn_loss_mask: 0.3797 [06/20 11:25:24] Vis4D INFO: Epoch 6: 5550/9726, ETA: 0:40:20, 1.73it/s, loss: 0.7091, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1129, RCNNLoss.rcnn_loss_bbox: 0.1737, SampledMaskLoss.rcnn_loss_mask: 0.3709 [06/20 11:25:53] Vis4D INFO: Epoch 6: 5600/9726, ETA: 0:39:51, 1.73it/s, loss: 0.7119, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0349, RCNNLoss.rcnn_loss_cls: 0.1106, RCNNLoss.rcnn_loss_bbox: 0.1684, SampledMaskLoss.rcnn_loss_mask: 0.3809 [06/20 11:26:24] Vis4D INFO: Epoch 6: 5650/9726, ETA: 0:39:24, 1.72it/s, loss: 0.7741, RPNLoss.loss_cls: 0.0233, RPNLoss.loss_bbox: 0.0385, RCNNLoss.rcnn_loss_cls: 0.1319, RCNNLoss.rcnn_loss_bbox: 0.1997, SampledMaskLoss.rcnn_loss_mask: 0.3807 [06/20 11:26:52] Vis4D INFO: Epoch 6: 5700/9726, ETA: 0:38:54, 1.72it/s, loss: 0.7208, RPNLoss.loss_cls: 0.0237, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1207, RCNNLoss.rcnn_loss_bbox: 0.1745, SampledMaskLoss.rcnn_loss_mask: 0.3701 [06/20 11:27:20] Vis4D INFO: Epoch 6: 5750/9726, ETA: 0:38:24, 1.73it/s, loss: 0.7558, RPNLoss.loss_cls: 0.0178, RPNLoss.loss_bbox: 0.0337, RCNNLoss.rcnn_loss_cls: 0.1151, RCNNLoss.rcnn_loss_bbox: 0.1818, SampledMaskLoss.rcnn_loss_mask: 0.4074 [06/20 11:27:48] Vis4D INFO: Epoch 6: 5800/9726, ETA: 0:37:54, 1.73it/s, loss: 0.6795, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1087, RCNNLoss.rcnn_loss_bbox: 0.1622, SampledMaskLoss.rcnn_loss_mask: 0.3654 [06/20 11:28:17] Vis4D INFO: Epoch 6: 5850/9726, ETA: 0:37:25, 1.73it/s, loss: 0.6541, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.1048, RCNNLoss.rcnn_loss_bbox: 0.1689, SampledMaskLoss.rcnn_loss_mask: 0.3425 [06/20 11:28:44] Vis4D INFO: Epoch 6: 5900/9726, ETA: 0:36:55, 1.73it/s, loss: 0.6947, RPNLoss.loss_cls: 0.0182, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.1136, RCNNLoss.rcnn_loss_bbox: 0.1789, SampledMaskLoss.rcnn_loss_mask: 0.3547 [06/20 11:29:13] Vis4D INFO: Epoch 6: 5950/9726, ETA: 0:36:26, 1.73it/s, loss: 0.6993, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1151, RCNNLoss.rcnn_loss_bbox: 0.1759, SampledMaskLoss.rcnn_loss_mask: 0.3594 [06/20 11:29:42] Vis4D INFO: Epoch 6: 6000/9726, ETA: 0:35:57, 1.73it/s, loss: 0.6815, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1116, RCNNLoss.rcnn_loss_bbox: 0.1745, SampledMaskLoss.rcnn_loss_mask: 0.3523 [06/20 11:30:09] Vis4D INFO: Epoch 6: 6050/9726, ETA: 0:35:27, 1.73it/s, loss: 0.6685, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0238, RCNNLoss.rcnn_loss_cls: 0.0985, RCNNLoss.rcnn_loss_bbox: 0.1544, SampledMaskLoss.rcnn_loss_mask: 0.3813 [06/20 11:30:37] Vis4D INFO: Epoch 6: 6100/9726, ETA: 0:34:58, 1.73it/s, loss: 0.6958, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1059, RCNNLoss.rcnn_loss_bbox: 0.1834, SampledMaskLoss.rcnn_loss_mask: 0.3552 [06/20 11:31:06] Vis4D INFO: Epoch 6: 6150/9726, ETA: 0:34:29, 1.73it/s, loss: 0.7038, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0342, RCNNLoss.rcnn_loss_cls: 0.1220, RCNNLoss.rcnn_loss_bbox: 0.1919, SampledMaskLoss.rcnn_loss_mask: 0.3417 [06/20 11:31:35] Vis4D INFO: Epoch 6: 6200/9726, ETA: 0:34:00, 1.73it/s, loss: 0.6300, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.1076, RCNNLoss.rcnn_loss_bbox: 0.1714, SampledMaskLoss.rcnn_loss_mask: 0.3118 [06/20 11:32:01] Vis4D INFO: Epoch 6: 6250/9726, ETA: 0:33:30, 1.73it/s, loss: 0.6549, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0325, RCNNLoss.rcnn_loss_cls: 0.1144, RCNNLoss.rcnn_loss_bbox: 0.1745, SampledMaskLoss.rcnn_loss_mask: 0.3202 [06/20 11:32:29] Vis4D INFO: Epoch 6: 6300/9726, ETA: 0:33:00, 1.73it/s, loss: 0.7005, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1128, RCNNLoss.rcnn_loss_bbox: 0.1711, SampledMaskLoss.rcnn_loss_mask: 0.3740 [06/20 11:32:59] Vis4D INFO: Epoch 6: 6350/9726, ETA: 0:32:32, 1.73it/s, loss: 0.6713, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.1068, RCNNLoss.rcnn_loss_bbox: 0.1580, SampledMaskLoss.rcnn_loss_mask: 0.3652 [06/20 11:33:30] Vis4D INFO: Epoch 6: 6400/9726, ETA: 0:32:04, 1.73it/s, loss: 0.6695, RPNLoss.loss_cls: 0.0104, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.1061, RCNNLoss.rcnn_loss_bbox: 0.1696, SampledMaskLoss.rcnn_loss_mask: 0.3582 [06/20 11:33:58] Vis4D INFO: Epoch 6: 6450/9726, ETA: 0:31:35, 1.73it/s, loss: 0.6256, RPNLoss.loss_cls: 0.0099, RPNLoss.loss_bbox: 0.0238, RCNNLoss.rcnn_loss_cls: 0.1072, RCNNLoss.rcnn_loss_bbox: 0.1594, SampledMaskLoss.rcnn_loss_mask: 0.3253 [06/20 11:34:26] Vis4D INFO: Epoch 6: 6500/9726, ETA: 0:31:05, 1.73it/s, loss: 0.6116, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1053, RCNNLoss.rcnn_loss_bbox: 0.1717, SampledMaskLoss.rcnn_loss_mask: 0.2887 [06/20 11:34:54] Vis4D INFO: Epoch 6: 6550/9726, ETA: 0:30:36, 1.73it/s, loss: 0.6296, RPNLoss.loss_cls: 0.0167, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.1009, RCNNLoss.rcnn_loss_bbox: 0.1496, SampledMaskLoss.rcnn_loss_mask: 0.3353 [06/20 11:35:21] Vis4D INFO: Epoch 6: 6600/9726, ETA: 0:30:06, 1.73it/s, loss: 0.6644, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.1033, RCNNLoss.rcnn_loss_bbox: 0.1655, SampledMaskLoss.rcnn_loss_mask: 0.3566 [06/20 11:35:50] Vis4D INFO: Epoch 6: 6650/9726, ETA: 0:29:37, 1.73it/s, loss: 0.7133, RPNLoss.loss_cls: 0.0173, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1206, RCNNLoss.rcnn_loss_bbox: 0.1781, SampledMaskLoss.rcnn_loss_mask: 0.3663 [06/20 11:36:19] Vis4D INFO: Epoch 6: 6700/9726, ETA: 0:29:08, 1.73it/s, loss: 0.7076, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0353, RCNNLoss.rcnn_loss_cls: 0.1233, RCNNLoss.rcnn_loss_bbox: 0.1925, SampledMaskLoss.rcnn_loss_mask: 0.3434 [06/20 11:36:48] Vis4D INFO: Epoch 6: 6750/9726, ETA: 0:28:39, 1.73it/s, loss: 0.7124, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0346, RCNNLoss.rcnn_loss_cls: 0.1311, RCNNLoss.rcnn_loss_bbox: 0.1927, SampledMaskLoss.rcnn_loss_mask: 0.3415 [06/20 11:37:16] Vis4D INFO: Epoch 6: 6800/9726, ETA: 0:28:10, 1.73it/s, loss: 0.6581, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1054, RCNNLoss.rcnn_loss_bbox: 0.1705, SampledMaskLoss.rcnn_loss_mask: 0.3356 [06/20 11:37:44] Vis4D INFO: Epoch 6: 6850/9726, ETA: 0:27:41, 1.73it/s, loss: 0.5739, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.0966, RCNNLoss.rcnn_loss_bbox: 0.1544, SampledMaskLoss.rcnn_loss_mask: 0.2798 [06/20 11:38:11] Vis4D INFO: Epoch 6: 6900/9726, ETA: 0:27:11, 1.73it/s, loss: 0.7339, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0335, RCNNLoss.rcnn_loss_cls: 0.1129, RCNNLoss.rcnn_loss_bbox: 0.1687, SampledMaskLoss.rcnn_loss_mask: 0.4020 [06/20 11:38:38] Vis4D INFO: Epoch 6: 6950/9726, ETA: 0:26:41, 1.73it/s, loss: 0.6673, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.1126, RCNNLoss.rcnn_loss_bbox: 0.1782, SampledMaskLoss.rcnn_loss_mask: 0.3328 [06/20 11:39:05] Vis4D INFO: Epoch 6: 7000/9726, ETA: 0:26:12, 1.73it/s, loss: 0.7238, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0350, RCNNLoss.rcnn_loss_cls: 0.1218, RCNNLoss.rcnn_loss_bbox: 0.1815, SampledMaskLoss.rcnn_loss_mask: 0.3686 [06/20 11:39:31] Vis4D INFO: Epoch 6: 7050/9726, ETA: 0:25:42, 1.73it/s, loss: 0.6414, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1106, RCNNLoss.rcnn_loss_bbox: 0.1663, SampledMaskLoss.rcnn_loss_mask: 0.3231 [06/20 11:40:00] Vis4D INFO: Epoch 6: 7100/9726, ETA: 0:25:13, 1.73it/s, loss: 0.7059, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.0990, RCNNLoss.rcnn_loss_bbox: 0.1668, SampledMaskLoss.rcnn_loss_mask: 0.4002 [06/20 11:40:31] Vis4D INFO: Epoch 6: 7150/9726, ETA: 0:24:45, 1.73it/s, loss: 0.6860, RPNLoss.loss_cls: 0.0177, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1193, RCNNLoss.rcnn_loss_bbox: 0.1719, SampledMaskLoss.rcnn_loss_mask: 0.3459 [06/20 11:41:03] Vis4D INFO: Epoch 6: 7200/9726, ETA: 0:24:17, 1.73it/s, loss: 0.6860, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0333, RCNNLoss.rcnn_loss_cls: 0.1073, RCNNLoss.rcnn_loss_bbox: 0.1706, SampledMaskLoss.rcnn_loss_mask: 0.3579 [06/20 11:41:33] Vis4D INFO: Epoch 6: 7250/9726, ETA: 0:23:49, 1.73it/s, loss: 0.6643, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.1125, RCNNLoss.rcnn_loss_bbox: 0.1666, SampledMaskLoss.rcnn_loss_mask: 0.3394 [06/20 11:42:02] Vis4D INFO: Epoch 6: 7300/9726, ETA: 0:23:20, 1.73it/s, loss: 0.6410, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1046, RCNNLoss.rcnn_loss_bbox: 0.1684, SampledMaskLoss.rcnn_loss_mask: 0.3235 [06/20 11:42:30] Vis4D INFO: Epoch 6: 7350/9726, ETA: 0:22:51, 1.73it/s, loss: 0.6889, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1169, RCNNLoss.rcnn_loss_bbox: 0.1812, SampledMaskLoss.rcnn_loss_mask: 0.3455 [06/20 11:42:57] Vis4D INFO: Epoch 6: 7400/9726, ETA: 0:22:22, 1.73it/s, loss: 0.6289, RPNLoss.loss_cls: 0.0102, RPNLoss.loss_bbox: 0.0254, RCNNLoss.rcnn_loss_cls: 0.1106, RCNNLoss.rcnn_loss_bbox: 0.1629, SampledMaskLoss.rcnn_loss_mask: 0.3199 [06/20 11:43:25] Vis4D INFO: Epoch 6: 7450/9726, ETA: 0:21:53, 1.73it/s, loss: 0.6980, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.1193, RCNNLoss.rcnn_loss_bbox: 0.1739, SampledMaskLoss.rcnn_loss_mask: 0.3634 [06/20 11:43:52] Vis4D INFO: Epoch 6: 7500/9726, ETA: 0:21:23, 1.73it/s, loss: 0.6810, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0261, RCNNLoss.rcnn_loss_cls: 0.1015, RCNNLoss.rcnn_loss_bbox: 0.1625, SampledMaskLoss.rcnn_loss_mask: 0.3763 [06/20 11:44:20] Vis4D INFO: Epoch 6: 7550/9726, ETA: 0:20:54, 1.73it/s, loss: 0.6218, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1049, RCNNLoss.rcnn_loss_bbox: 0.1657, SampledMaskLoss.rcnn_loss_mask: 0.3084 [06/20 11:44:48] Vis4D INFO: Epoch 6: 7600/9726, ETA: 0:20:25, 1.74it/s, loss: 0.6134, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.0923, RCNNLoss.rcnn_loss_bbox: 0.1474, SampledMaskLoss.rcnn_loss_mask: 0.3366 [06/20 11:45:15] Vis4D INFO: Epoch 6: 7650/9726, ETA: 0:19:56, 1.74it/s, loss: 0.6349, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.0935, RCNNLoss.rcnn_loss_bbox: 0.1542, SampledMaskLoss.rcnn_loss_mask: 0.3468 [06/20 11:45:42] Vis4D INFO: Epoch 6: 7700/9726, ETA: 0:19:26, 1.74it/s, loss: 0.7160, RPNLoss.loss_cls: 0.0205, RPNLoss.loss_bbox: 0.0359, RCNNLoss.rcnn_loss_cls: 0.1208, RCNNLoss.rcnn_loss_bbox: 0.1823, SampledMaskLoss.rcnn_loss_mask: 0.3565 [06/20 11:46:09] Vis4D INFO: Epoch 6: 7750/9726, ETA: 0:18:57, 1.74it/s, loss: 0.6935, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0333, RCNNLoss.rcnn_loss_cls: 0.1146, RCNNLoss.rcnn_loss_bbox: 0.1818, SampledMaskLoss.rcnn_loss_mask: 0.3507 [06/20 11:46:37] Vis4D INFO: Epoch 6: 7800/9726, ETA: 0:18:28, 1.74it/s, loss: 0.7061, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1152, RCNNLoss.rcnn_loss_bbox: 0.1828, SampledMaskLoss.rcnn_loss_mask: 0.3675 [06/20 11:47:04] Vis4D INFO: Epoch 6: 7850/9726, ETA: 0:17:59, 1.74it/s, loss: 0.7172, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1142, RCNNLoss.rcnn_loss_bbox: 0.1849, SampledMaskLoss.rcnn_loss_mask: 0.3749 [06/20 11:47:30] Vis4D INFO: Epoch 6: 7900/9726, ETA: 0:17:29, 1.74it/s, loss: 0.6498, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0283, RCNNLoss.rcnn_loss_cls: 0.1072, RCNNLoss.rcnn_loss_bbox: 0.1706, SampledMaskLoss.rcnn_loss_mask: 0.3310 [06/20 11:47:58] Vis4D INFO: Epoch 6: 7950/9726, ETA: 0:17:01, 1.74it/s, loss: 0.6758, RPNLoss.loss_cls: 0.0094, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.1081, RCNNLoss.rcnn_loss_bbox: 0.1708, SampledMaskLoss.rcnn_loss_mask: 0.3599 [06/20 11:48:25] Vis4D INFO: Epoch 6: 8000/9726, ETA: 0:16:31, 1.74it/s, loss: 0.6572, RPNLoss.loss_cls: 0.0123, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1096, RCNNLoss.rcnn_loss_bbox: 0.1678, SampledMaskLoss.rcnn_loss_mask: 0.3366 [06/20 11:48:55] Vis4D INFO: Epoch 6: 8050/9726, ETA: 0:16:03, 1.74it/s, loss: 0.6608, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.1131, RCNNLoss.rcnn_loss_bbox: 0.1697, SampledMaskLoss.rcnn_loss_mask: 0.3364 [06/20 11:49:23] Vis4D INFO: Epoch 6: 8100/9726, ETA: 0:15:34, 1.74it/s, loss: 0.6687, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1218, RCNNLoss.rcnn_loss_bbox: 0.1842, SampledMaskLoss.rcnn_loss_mask: 0.3147 [06/20 11:49:52] Vis4D INFO: Epoch 6: 8150/9726, ETA: 0:15:05, 1.74it/s, loss: 0.6511, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.1020, RCNNLoss.rcnn_loss_bbox: 0.1479, SampledMaskLoss.rcnn_loss_mask: 0.3644 [06/20 11:50:20] Vis4D INFO: Epoch 6: 8200/9726, ETA: 0:14:36, 1.74it/s, loss: 0.6442, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1109, RCNNLoss.rcnn_loss_bbox: 0.1697, SampledMaskLoss.rcnn_loss_mask: 0.3242 [06/20 11:50:50] Vis4D INFO: Epoch 6: 8250/9726, ETA: 0:14:08, 1.74it/s, loss: 0.7232, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.1147, RCNNLoss.rcnn_loss_bbox: 0.1632, SampledMaskLoss.rcnn_loss_mask: 0.4049 [06/20 11:51:19] Vis4D INFO: Epoch 6: 8300/9726, ETA: 0:13:39, 1.74it/s, loss: 0.6835, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0254, RCNNLoss.rcnn_loss_cls: 0.1020, RCNNLoss.rcnn_loss_bbox: 0.1600, SampledMaskLoss.rcnn_loss_mask: 0.3826 [06/20 11:51:46] Vis4D INFO: Epoch 6: 8350/9726, ETA: 0:13:10, 1.74it/s, loss: 0.6802, RPNLoss.loss_cls: 0.0199, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1003, RCNNLoss.rcnn_loss_bbox: 0.1581, SampledMaskLoss.rcnn_loss_mask: 0.3722 [06/20 11:52:14] Vis4D INFO: Epoch 6: 8400/9726, ETA: 0:12:41, 1.74it/s, loss: 0.7147, RPNLoss.loss_cls: 0.0167, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1138, RCNNLoss.rcnn_loss_bbox: 0.1656, SampledMaskLoss.rcnn_loss_mask: 0.3877 [06/20 11:52:42] Vis4D INFO: Epoch 6: 8450/9726, ETA: 0:12:13, 1.74it/s, loss: 0.6912, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.1181, RCNNLoss.rcnn_loss_bbox: 0.1777, SampledMaskLoss.rcnn_loss_mask: 0.3537 [06/20 11:53:10] Vis4D INFO: Epoch 6: 8500/9726, ETA: 0:11:44, 1.74it/s, loss: 0.6613, RPNLoss.loss_cls: 0.0100, RPNLoss.loss_bbox: 0.0272, RCNNLoss.rcnn_loss_cls: 0.0946, RCNNLoss.rcnn_loss_bbox: 0.1667, SampledMaskLoss.rcnn_loss_mask: 0.3628 [06/20 11:53:37] Vis4D INFO: Epoch 6: 8550/9726, ETA: 0:11:15, 1.74it/s, loss: 0.6408, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.1013, RCNNLoss.rcnn_loss_bbox: 0.1586, SampledMaskLoss.rcnn_loss_mask: 0.3367 [06/20 11:54:05] Vis4D INFO: Epoch 6: 8600/9726, ETA: 0:10:46, 1.74it/s, loss: 0.6805, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1099, RCNNLoss.rcnn_loss_bbox: 0.1760, SampledMaskLoss.rcnn_loss_mask: 0.3505 [06/20 11:54:35] Vis4D INFO: Epoch 6: 8650/9726, ETA: 0:10:18, 1.74it/s, loss: 0.6536, RPNLoss.loss_cls: 0.0104, RPNLoss.loss_bbox: 0.0287, RCNNLoss.rcnn_loss_cls: 0.1086, RCNNLoss.rcnn_loss_bbox: 0.1750, SampledMaskLoss.rcnn_loss_mask: 0.3310 [06/20 11:55:07] Vis4D INFO: Epoch 6: 8700/9726, ETA: 0:09:49, 1.74it/s, loss: 0.6961, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.1085, RCNNLoss.rcnn_loss_bbox: 0.1589, SampledMaskLoss.rcnn_loss_mask: 0.3858 [06/20 11:55:37] Vis4D INFO: Epoch 6: 8750/9726, ETA: 0:09:21, 1.74it/s, loss: 0.7043, RPNLoss.loss_cls: 0.0177, RPNLoss.loss_bbox: 0.0349, RCNNLoss.rcnn_loss_cls: 0.1165, RCNNLoss.rcnn_loss_bbox: 0.1748, SampledMaskLoss.rcnn_loss_mask: 0.3604 [06/20 11:56:07] Vis4D INFO: Epoch 6: 8800/9726, ETA: 0:08:52, 1.74it/s, loss: 0.6295, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0254, RCNNLoss.rcnn_loss_cls: 0.1047, RCNNLoss.rcnn_loss_bbox: 0.1553, SampledMaskLoss.rcnn_loss_mask: 0.3284 [06/20 11:56:37] Vis4D INFO: Epoch 6: 8850/9726, ETA: 0:08:23, 1.74it/s, loss: 0.6535, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1179, RCNNLoss.rcnn_loss_bbox: 0.1793, SampledMaskLoss.rcnn_loss_mask: 0.3089 [06/20 11:57:06] Vis4D INFO: Epoch 6: 8900/9726, ETA: 0:07:55, 1.74it/s, loss: 0.6724, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0245, RCNNLoss.rcnn_loss_cls: 0.0947, RCNNLoss.rcnn_loss_bbox: 0.1472, SampledMaskLoss.rcnn_loss_mask: 0.3949 [06/20 11:57:33] Vis4D INFO: Epoch 6: 8950/9726, ETA: 0:07:26, 1.74it/s, loss: 0.6898, RPNLoss.loss_cls: 0.0176, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1041, RCNNLoss.rcnn_loss_bbox: 0.1624, SampledMaskLoss.rcnn_loss_mask: 0.3766 [06/20 11:58:03] Vis4D INFO: Epoch 6: 9000/9726, ETA: 0:06:57, 1.74it/s, loss: 0.6722, RPNLoss.loss_cls: 0.0159, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.1086, RCNNLoss.rcnn_loss_bbox: 0.1706, SampledMaskLoss.rcnn_loss_mask: 0.3497 [06/20 11:58:33] Vis4D INFO: Epoch 6: 9050/9726, ETA: 0:06:28, 1.74it/s, loss: 0.6989, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0345, RCNNLoss.rcnn_loss_cls: 0.1199, RCNNLoss.rcnn_loss_bbox: 0.1739, SampledMaskLoss.rcnn_loss_mask: 0.3535 [06/20 11:59:02] Vis4D INFO: Epoch 6: 9100/9726, ETA: 0:06:00, 1.74it/s, loss: 0.6944, RPNLoss.loss_cls: 0.0157, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1146, RCNNLoss.rcnn_loss_bbox: 0.1696, SampledMaskLoss.rcnn_loss_mask: 0.3634 [06/20 11:59:32] Vis4D INFO: Epoch 6: 9150/9726, ETA: 0:05:31, 1.74it/s, loss: 0.6698, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1115, RCNNLoss.rcnn_loss_bbox: 0.1729, SampledMaskLoss.rcnn_loss_mask: 0.3409 [06/20 12:00:02] Vis4D INFO: Epoch 6: 9200/9726, ETA: 0:05:02, 1.74it/s, loss: 0.6632, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1211, RCNNLoss.rcnn_loss_bbox: 0.1827, SampledMaskLoss.rcnn_loss_mask: 0.3105 [06/20 12:00:29] Vis4D INFO: Epoch 6: 9250/9726, ETA: 0:04:33, 1.74it/s, loss: 0.6460, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1145, RCNNLoss.rcnn_loss_bbox: 0.1709, SampledMaskLoss.rcnn_loss_mask: 0.3153 [06/20 12:00:58] Vis4D INFO: Epoch 6: 9300/9726, ETA: 0:04:05, 1.74it/s, loss: 0.6563, RPNLoss.loss_cls: 0.0168, RPNLoss.loss_bbox: 0.0369, RCNNLoss.rcnn_loss_cls: 0.1278, RCNNLoss.rcnn_loss_bbox: 0.2000, SampledMaskLoss.rcnn_loss_mask: 0.2749 [06/20 12:01:29] Vis4D INFO: Epoch 6: 9350/9726, ETA: 0:03:36, 1.74it/s, loss: 0.6653, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0283, RCNNLoss.rcnn_loss_cls: 0.1162, RCNNLoss.rcnn_loss_bbox: 0.1755, SampledMaskLoss.rcnn_loss_mask: 0.3297 [06/20 12:01:59] Vis4D INFO: Epoch 6: 9400/9726, ETA: 0:03:07, 1.74it/s, loss: 0.6411, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0254, RCNNLoss.rcnn_loss_cls: 0.0983, RCNNLoss.rcnn_loss_bbox: 0.1488, SampledMaskLoss.rcnn_loss_mask: 0.3548 [06/20 12:02:29] Vis4D INFO: Epoch 6: 9450/9726, ETA: 0:02:38, 1.74it/s, loss: 0.6559, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.1072, RCNNLoss.rcnn_loss_bbox: 0.1601, SampledMaskLoss.rcnn_loss_mask: 0.3555 [06/20 12:03:02] Vis4D INFO: Epoch 6: 9500/9726, ETA: 0:02:10, 1.74it/s, loss: 0.6834, RPNLoss.loss_cls: 0.0152, RPNLoss.loss_bbox: 0.0313, RCNNLoss.rcnn_loss_cls: 0.1092, RCNNLoss.rcnn_loss_bbox: 0.1760, SampledMaskLoss.rcnn_loss_mask: 0.3517 [06/20 12:03:34] Vis4D INFO: Epoch 6: 9550/9726, ETA: 0:01:41, 1.73it/s, loss: 0.6321, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.1022, RCNNLoss.rcnn_loss_bbox: 0.1617, SampledMaskLoss.rcnn_loss_mask: 0.3267 [06/20 12:04:07] Vis4D INFO: Epoch 6: 9600/9726, ETA: 0:01:12, 1.73it/s, loss: 0.6813, RPNLoss.loss_cls: 0.0157, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.1035, RCNNLoss.rcnn_loss_bbox: 0.1599, SampledMaskLoss.rcnn_loss_mask: 0.3752 [06/20 12:04:39] Vis4D INFO: Epoch 6: 9650/9726, ETA: 0:00:43, 1.73it/s, loss: 0.6757, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0333, RCNNLoss.rcnn_loss_cls: 0.1098, RCNNLoss.rcnn_loss_bbox: 0.1844, SampledMaskLoss.rcnn_loss_mask: 0.3339 [06/20 12:05:10] Vis4D INFO: Epoch 6: 9700/9726, ETA: 0:00:15, 1.73it/s, loss: 0.6912, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0338, RCNNLoss.rcnn_loss_cls: 0.1079, RCNNLoss.rcnn_loss_bbox: 0.1769, SampledMaskLoss.rcnn_loss_mask: 0.3619 [06/20 12:05:47] Vis4D INFO: Testing: 50/1400, ETA: 0:09:02, 2.49it/s [06/20 12:06:05] Vis4D INFO: Testing: 100/1400, ETA: 0:08:12, 2.64it/s [06/20 12:06:20] Vis4D INFO: Testing: 150/1400, ETA: 0:07:25, 2.80it/s [06/20 12:06:34] Vis4D INFO: Testing: 200/1400, ETA: 0:06:46, 2.95it/s [06/20 12:06:51] Vis4D INFO: Testing: 250/1400, ETA: 0:06:25, 2.98it/s [06/20 12:07:01] Vis4D INFO: Testing: 300/1400, ETA: 0:05:45, 3.18it/s [06/20 12:07:11] Vis4D INFO: Testing: 350/1400, ETA: 0:05:12, 3.36it/s [06/20 12:07:27] Vis4D INFO: Testing: 400/1400, ETA: 0:05:00, 3.33it/s [06/20 12:07:44] Vis4D INFO: Testing: 450/1400, ETA: 0:04:50, 3.27it/s [06/20 12:07:57] Vis4D INFO: Testing: 500/1400, ETA: 0:04:30, 3.33it/s [06/20 12:08:13] Vis4D INFO: Testing: 550/1400, ETA: 0:04:16, 3.31it/s [06/20 12:08:36] Vis4D INFO: Testing: 600/1400, ETA: 0:04:12, 3.17it/s [06/20 12:08:53] Vis4D INFO: Testing: 650/1400, ETA: 0:03:57, 3.16it/s [06/20 12:09:03] Vis4D INFO: Testing: 700/1400, ETA: 0:03:36, 3.23it/s [06/20 12:09:17] Vis4D INFO: Testing: 750/1400, ETA: 0:03:19, 3.25it/s [06/20 12:09:27] Vis4D INFO: Testing: 800/1400, ETA: 0:02:59, 3.34it/s [06/20 12:09:41] Vis4D INFO: Testing: 850/1400, ETA: 0:02:44, 3.34it/s [06/20 12:09:53] Vis4D INFO: Testing: 900/1400, ETA: 0:02:27, 3.38it/s [06/20 12:10:11] Vis4D INFO: Testing: 950/1400, ETA: 0:02:14, 3.35it/s [06/20 12:10:22] Vis4D INFO: Testing: 1000/1400, ETA: 0:01:57, 3.39it/s [06/20 12:10:35] Vis4D INFO: Testing: 1050/1400, ETA: 0:01:42, 3.40it/s [06/20 12:10:50] Vis4D INFO: Testing: 1100/1400, ETA: 0:01:28, 3.40it/s [06/20 12:11:07] Vis4D INFO: Testing: 1150/1400, ETA: 0:01:13, 3.38it/s [06/20 12:11:23] Vis4D INFO: Testing: 1200/1400, ETA: 0:00:59, 3.37it/s [06/20 12:11:36] Vis4D INFO: Testing: 1250/1400, ETA: 0:00:44, 3.38it/s [06/20 12:11:47] Vis4D INFO: Testing: 1300/1400, ETA: 0:00:29, 3.42it/s [06/20 12:12:05] Vis4D INFO: Testing: 1350/1400, ETA: 0:00:14, 3.39it/s [06/20 12:12:19] Vis4D INFO: Testing: 1400/1400, ETA: 0:00:00, 3.40it/s [06/20 12:12:19] Vis4D INFO: Running evaluator Scalabel Tracking Evaluator... [06/20 12:12:36] Vis4D INFO: Det/AP: 39.0068 [06/20 12:12:36] Vis4D INFO: Det/AP50: 59.7296 [06/20 12:12:36] Vis4D INFO: Det/AP75: 44.3843 [06/20 12:12:36] Vis4D INFO: Det/APs: 23.1606 [06/20 12:12:36] Vis4D INFO: Det/APm: 63.9437 [06/20 12:12:36] Vis4D INFO: Det/APl: 77.7005 [06/20 12:12:36] Vis4D INFO: Det/AR1: 29.3561 [06/20 12:12:36] Vis4D INFO: Det/AR10: 43.7889 [06/20 12:12:36] Vis4D INFO: Det/AR100: 44.6819 [06/20 12:12:36] Vis4D INFO: Det/ARs: 29.6165 [06/20 12:12:36] Vis4D INFO: Det/ARm: 69.5108 [06/20 12:12:36] Vis4D INFO: Det/ARl: 82.3857 [06/20 12:12:36] Vis4D INFO: Det/AP/pedestrian: 36.7944 [06/20 12:12:36] Vis4D INFO: Det/AP/car: 46.2627 [06/20 12:12:36] Vis4D INFO: Det/AP/truck: 41.1915 [06/20 12:12:36] Vis4D INFO: Det/AP/bus: 37.0658 [06/20 12:12:36] Vis4D INFO: Det/AP/motorcycle: 40.6363 [06/20 12:12:36] Vis4D INFO: Det/AP/bicycle: 32.0903 [06/20 12:12:36] Vis4D INFO: Showing evaluation results for Det [06/20 12:12:36] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl --------------------------------------------------------------------------- pedestrian 36.8 63.9 39.2 28.2 67.0 75.2 10.8 37.7 41.9 34.2 72.0 79.3 car 46.3 66.0 51.7 27.5 66.6 86.1 19.7 50.6 51.7 33.6 72.5 90.0 truck 41.2 61.4 46.1 19.9 62.5 79.4 32.7 47.1 47.2 27.7 67.5 84.1 bus 37.1 55.8 43.3 26.0 70.3 80.1 39.3 45.0 45.0 35.2 76.0 85.9 motorcycle 40.6 59.2 49.3 21.9 68.5 72.9 38.7 44.9 44.9 26.2 73.7 76.7 bicycle 32.1 52.0 36.8 15.4 48.7 72.5 34.8 37.4 37.4 20.7 55.4 78.3 --------------------------------------------------------------------------- OVERALL 39.0 59.7 44.4 23.2 63.9 77.7 29.4 43.8 44.7 29.6 69.5 82.4 [06/20 12:12:59] Vis4D INFO: InsSeg/AP: 0.8433 [06/20 12:12:59] Vis4D INFO: InsSeg/AP50: 1.0606 [06/20 12:12:59] Vis4D INFO: InsSeg/AP75: 0.9971 [06/20 12:12:59] Vis4D INFO: InsSeg/APs: 0.6255 [06/20 12:12:59] Vis4D INFO: InsSeg/APm: 1.5846 [06/20 12:12:59] Vis4D INFO: InsSeg/APl: 1.7636 [06/20 12:12:59] Vis4D INFO: InsSeg/AR1: 0.4756 [06/20 12:12:59] Vis4D INFO: InsSeg/AR10: 0.5967 [06/20 12:12:59] Vis4D INFO: InsSeg/AR100: 0.5967 [06/20 12:12:59] Vis4D INFO: InsSeg/ARs: 0.3082 [06/20 12:12:59] Vis4D INFO: InsSeg/ARm: 1.3486 [06/20 12:12:59] Vis4D INFO: InsSeg/ARl: 1.5759 [06/20 12:12:59] Vis4D INFO: InsSeg/AP/pedestrian: 0.4745 [06/20 12:12:59] Vis4D INFO: InsSeg/AP/car: 1.5318 [06/20 12:12:59] Vis4D INFO: InsSeg/AP/truck: 0.9001 [06/20 12:12:59] Vis4D INFO: InsSeg/AP/bus: 0.6683 [06/20 12:12:59] Vis4D INFO: InsSeg/AP/motorcycle: 0.7921 [06/20 12:12:59] Vis4D INFO: InsSeg/AP/bicycle: 0.6931 [06/20 12:12:59] Vis4D INFO: Showing evaluation results for InsSeg [06/20 12:12:59] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl -------------------------------------------------------------------------- pedestrian 0.5 0.8 0.5 0.4 1.0 0.9 0.2 0.3 0.3 0.3 0.8 1.0 car 1.5 1.8 1.8 1.2 2.6 2.8 1.0 1.4 1.4 1.0 2.4 2.2 truck 0.9 1.0 1.0 0.9 1.7 2.6 0.6 0.6 0.6 0.2 1.0 2.2 bus 0.7 0.8 0.7 0.0 1.3 1.5 0.4 0.4 0.4 0.1 1.7 1.5 motorcycle 0.8 1.0 1.0 0.7 2.3 0.0 0.4 0.6 0.6 0.3 1.7 0.0 bicycle 0.7 1.0 1.0 0.5 0.7 2.8 0.3 0.3 0.3 0.1 0.5 2.5 -------------------------------------------------------------------------- OVERALL 0.8 1.1 1.0 0.6 1.6 1.8 0.5 0.6 0.6 0.3 1.3 1.6 [06/20 12:13:28] Vis4D INFO: Epoch 7: 50/9726, ETA: 1:29:46, 1.80it/s, loss: 0.6332, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.1127, RCNNLoss.rcnn_loss_bbox: 0.1746, SampledMaskLoss.rcnn_loss_mask: 0.3048 [06/20 12:13:57] Vis4D INFO: Epoch 7: 100/9726, ETA: 1:30:48, 1.77it/s, loss: 0.7028, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.1060, RCNNLoss.rcnn_loss_bbox: 0.1632, SampledMaskLoss.rcnn_loss_mask: 0.3904 [06/20 12:14:24] Vis4D INFO: Epoch 7: 150/9726, ETA: 1:28:28, 1.80it/s, loss: 0.6840, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.1043, RCNNLoss.rcnn_loss_bbox: 0.1730, SampledMaskLoss.rcnn_loss_mask: 0.3680 [06/20 12:14:51] Vis4D INFO: Epoch 7: 200/9726, ETA: 1:27:39, 1.81it/s, loss: 0.6721, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.1016, RCNNLoss.rcnn_loss_bbox: 0.1533, SampledMaskLoss.rcnn_loss_mask: 0.3775 [06/20 12:15:19] Vis4D INFO: Epoch 7: 250/9726, ETA: 1:27:40, 1.80it/s, loss: 0.6691, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1103, RCNNLoss.rcnn_loss_bbox: 0.1733, SampledMaskLoss.rcnn_loss_mask: 0.3436 [06/20 12:15:46] Vis4D INFO: Epoch 7: 300/9726, ETA: 1:26:30, 1.82it/s, loss: 0.6060, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.0955, RCNNLoss.rcnn_loss_bbox: 0.1416, SampledMaskLoss.rcnn_loss_mask: 0.3283 [06/20 12:16:13] Vis4D INFO: Epoch 7: 350/9726, ETA: 1:25:48, 1.82it/s, loss: 0.6755, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1110, RCNNLoss.rcnn_loss_bbox: 0.1788, SampledMaskLoss.rcnn_loss_mask: 0.3405 [06/20 12:16:41] Vis4D INFO: Epoch 7: 400/9726, ETA: 1:25:48, 1.81it/s, loss: 0.6623, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.1061, RCNNLoss.rcnn_loss_bbox: 0.1632, SampledMaskLoss.rcnn_loss_mask: 0.3546 [06/20 12:17:09] Vis4D INFO: Epoch 7: 450/9726, ETA: 1:25:30, 1.81it/s, loss: 0.7062, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1035, RCNNLoss.rcnn_loss_bbox: 0.1667, SampledMaskLoss.rcnn_loss_mask: 0.3946 [06/20 12:17:38] Vis4D INFO: Epoch 7: 500/9726, ETA: 1:25:25, 1.80it/s, loss: 0.6964, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0325, RCNNLoss.rcnn_loss_cls: 0.1151, RCNNLoss.rcnn_loss_bbox: 0.1690, SampledMaskLoss.rcnn_loss_mask: 0.3634 [06/20 12:18:07] Vis4D INFO: Epoch 7: 550/9726, ETA: 1:25:09, 1.80it/s, loss: 0.6313, RPNLoss.loss_cls: 0.0161, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1121, RCNNLoss.rcnn_loss_bbox: 0.1749, SampledMaskLoss.rcnn_loss_mask: 0.2955 [06/20 12:18:35] Vis4D INFO: Epoch 7: 600/9726, ETA: 1:24:43, 1.80it/s, loss: 0.7024, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1135, RCNNLoss.rcnn_loss_bbox: 0.1806, SampledMaskLoss.rcnn_loss_mask: 0.3626 [06/20 12:19:03] Vis4D INFO: Epoch 7: 650/9726, ETA: 1:24:24, 1.79it/s, loss: 0.5851, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.0932, RCNNLoss.rcnn_loss_bbox: 0.1552, SampledMaskLoss.rcnn_loss_mask: 0.3025 [06/20 12:19:33] Vis4D INFO: Epoch 7: 700/9726, ETA: 1:24:24, 1.78it/s, loss: 0.6620, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0360, RCNNLoss.rcnn_loss_cls: 0.1152, RCNNLoss.rcnn_loss_bbox: 0.1828, SampledMaskLoss.rcnn_loss_mask: 0.3144 [06/20 12:20:04] Vis4D INFO: Epoch 7: 750/9726, ETA: 1:24:30, 1.77it/s, loss: 0.6814, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1155, RCNNLoss.rcnn_loss_bbox: 0.1790, SampledMaskLoss.rcnn_loss_mask: 0.3379 [06/20 12:20:36] Vis4D INFO: Epoch 7: 800/9726, ETA: 1:24:36, 1.76it/s, loss: 0.6535, RPNLoss.loss_cls: 0.0208, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1081, RCNNLoss.rcnn_loss_bbox: 0.1669, SampledMaskLoss.rcnn_loss_mask: 0.3282 [06/20 12:21:07] Vis4D INFO: Epoch 7: 850/9726, ETA: 1:24:40, 1.75it/s, loss: 0.6708, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.1060, RCNNLoss.rcnn_loss_bbox: 0.1727, SampledMaskLoss.rcnn_loss_mask: 0.3507 [06/20 12:21:40] Vis4D INFO: Epoch 7: 900/9726, ETA: 1:24:57, 1.73it/s, loss: 0.6689, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.1072, RCNNLoss.rcnn_loss_bbox: 0.1606, SampledMaskLoss.rcnn_loss_mask: 0.3590 [06/20 12:22:12] Vis4D INFO: Epoch 7: 950/9726, ETA: 1:24:55, 1.72it/s, loss: 0.6289, RPNLoss.loss_cls: 0.0159, RPNLoss.loss_bbox: 0.0339, RCNNLoss.rcnn_loss_cls: 0.1087, RCNNLoss.rcnn_loss_bbox: 0.1675, SampledMaskLoss.rcnn_loss_mask: 0.3029 [06/20 12:22:43] Vis4D INFO: Epoch 7: 1000/9726, ETA: 1:24:42, 1.72it/s, loss: 0.6144, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1051, RCNNLoss.rcnn_loss_bbox: 0.1644, SampledMaskLoss.rcnn_loss_mask: 0.3008 [06/20 12:23:14] Vis4D INFO: Epoch 7: 1050/9726, ETA: 1:24:29, 1.71it/s, loss: 0.6582, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.1012, RCNNLoss.rcnn_loss_bbox: 0.1624, SampledMaskLoss.rcnn_loss_mask: 0.3534 [06/20 12:23:43] Vis4D INFO: Epoch 7: 1100/9726, ETA: 1:23:58, 1.71it/s, loss: 0.6478, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0281, RCNNLoss.rcnn_loss_cls: 0.1026, RCNNLoss.rcnn_loss_bbox: 0.1684, SampledMaskLoss.rcnn_loss_mask: 0.3410 [06/20 12:24:12] Vis4D INFO: Epoch 7: 1150/9726, ETA: 1:23:26, 1.71it/s, loss: 0.6556, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1081, RCNNLoss.rcnn_loss_bbox: 0.1702, SampledMaskLoss.rcnn_loss_mask: 0.3371 [06/20 12:24:39] Vis4D INFO: Epoch 7: 1200/9726, ETA: 1:22:44, 1.72it/s, loss: 0.7105, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0348, RCNNLoss.rcnn_loss_cls: 0.1157, RCNNLoss.rcnn_loss_bbox: 0.1805, SampledMaskLoss.rcnn_loss_mask: 0.3626 [06/20 12:25:06] Vis4D INFO: Epoch 7: 1250/9726, ETA: 1:22:01, 1.72it/s, loss: 0.6916, RPNLoss.loss_cls: 0.0162, RPNLoss.loss_bbox: 0.0359, RCNNLoss.rcnn_loss_cls: 0.1143, RCNNLoss.rcnn_loss_bbox: 0.1897, SampledMaskLoss.rcnn_loss_mask: 0.3357 [06/20 12:25:34] Vis4D INFO: Epoch 7: 1300/9726, ETA: 1:21:23, 1.73it/s, loss: 0.6649, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1066, RCNNLoss.rcnn_loss_bbox: 0.1731, SampledMaskLoss.rcnn_loss_mask: 0.3441 [06/20 12:26:02] Vis4D INFO: Epoch 7: 1350/9726, ETA: 1:20:50, 1.73it/s, loss: 0.6159, RPNLoss.loss_cls: 0.0101, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.0953, RCNNLoss.rcnn_loss_bbox: 0.1528, SampledMaskLoss.rcnn_loss_mask: 0.3314 [06/20 12:26:30] Vis4D INFO: Epoch 7: 1400/9726, ETA: 1:20:12, 1.73it/s, loss: 0.6556, RPNLoss.loss_cls: 0.0166, RPNLoss.loss_bbox: 0.0312, RCNNLoss.rcnn_loss_cls: 0.1191, RCNNLoss.rcnn_loss_bbox: 0.1709, SampledMaskLoss.rcnn_loss_mask: 0.3178 [06/20 12:26:58] Vis4D INFO: Epoch 7: 1450/9726, ETA: 1:19:37, 1.73it/s, loss: 0.6408, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.1134, RCNNLoss.rcnn_loss_bbox: 0.1598, SampledMaskLoss.rcnn_loss_mask: 0.3298 [06/20 12:27:25] Vis4D INFO: Epoch 7: 1500/9726, ETA: 1:19:02, 1.73it/s, loss: 0.7076, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1211, RCNNLoss.rcnn_loss_bbox: 0.1808, SampledMaskLoss.rcnn_loss_mask: 0.3588 [06/20 12:27:54] Vis4D INFO: Epoch 7: 1550/9726, ETA: 1:18:32, 1.73it/s, loss: 0.6116, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.1001, RCNNLoss.rcnn_loss_bbox: 0.1533, SampledMaskLoss.rcnn_loss_mask: 0.3217 [06/20 12:28:23] Vis4D INFO: Epoch 7: 1600/9726, ETA: 1:18:05, 1.73it/s, loss: 0.6332, RPNLoss.loss_cls: 0.0106, RPNLoss.loss_bbox: 0.0268, RCNNLoss.rcnn_loss_cls: 0.0923, RCNNLoss.rcnn_loss_bbox: 0.1609, SampledMaskLoss.rcnn_loss_mask: 0.3426 [06/20 12:28:51] Vis4D INFO: Epoch 7: 1650/9726, ETA: 1:17:32, 1.74it/s, loss: 0.6325, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0236, RCNNLoss.rcnn_loss_cls: 0.1073, RCNNLoss.rcnn_loss_bbox: 0.1645, SampledMaskLoss.rcnn_loss_mask: 0.3223 [06/20 12:29:19] Vis4D INFO: Epoch 7: 1700/9726, ETA: 1:16:58, 1.74it/s, loss: 0.6614, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.0977, RCNNLoss.rcnn_loss_bbox: 0.1549, SampledMaskLoss.rcnn_loss_mask: 0.3658 [06/20 12:29:49] Vis4D INFO: Epoch 7: 1750/9726, ETA: 1:16:34, 1.74it/s, loss: 0.6929, RPNLoss.loss_cls: 0.0164, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1116, RCNNLoss.rcnn_loss_bbox: 0.1740, SampledMaskLoss.rcnn_loss_mask: 0.3601 [06/20 12:30:18] Vis4D INFO: Epoch 7: 1800/9726, ETA: 1:16:07, 1.74it/s, loss: 0.6779, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1121, RCNNLoss.rcnn_loss_bbox: 0.1889, SampledMaskLoss.rcnn_loss_mask: 0.3314 [06/20 12:30:47] Vis4D INFO: Epoch 7: 1850/9726, ETA: 1:15:42, 1.73it/s, loss: 0.6320, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.0990, RCNNLoss.rcnn_loss_bbox: 0.1636, SampledMaskLoss.rcnn_loss_mask: 0.3303 [06/20 12:31:15] Vis4D INFO: Epoch 7: 1900/9726, ETA: 1:15:09, 1.74it/s, loss: 0.5942, RPNLoss.loss_cls: 0.0100, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.1065, RCNNLoss.rcnn_loss_bbox: 0.1680, SampledMaskLoss.rcnn_loss_mask: 0.2834 [06/20 12:31:43] Vis4D INFO: Epoch 7: 1950/9726, ETA: 1:14:36, 1.74it/s, loss: 0.6142, RPNLoss.loss_cls: 0.0174, RPNLoss.loss_bbox: 0.0256, RCNNLoss.rcnn_loss_cls: 0.1016, RCNNLoss.rcnn_loss_bbox: 0.1498, SampledMaskLoss.rcnn_loss_mask: 0.3199 [06/20 12:32:11] Vis4D INFO: Epoch 7: 2000/9726, ETA: 1:14:03, 1.74it/s, loss: 0.5793, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0913, RCNNLoss.rcnn_loss_bbox: 0.1449, SampledMaskLoss.rcnn_loss_mask: 0.3075 [06/20 12:32:38] Vis4D INFO: Epoch 7: 2050/9726, ETA: 1:13:28, 1.74it/s, loss: 0.6473, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1117, RCNNLoss.rcnn_loss_bbox: 0.1727, SampledMaskLoss.rcnn_loss_mask: 0.3233 [06/20 12:33:05] Vis4D INFO: Epoch 7: 2100/9726, ETA: 1:12:55, 1.74it/s, loss: 0.6965, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1159, RCNNLoss.rcnn_loss_bbox: 0.1753, SampledMaskLoss.rcnn_loss_mask: 0.3586 [06/20 12:33:34] Vis4D INFO: Epoch 7: 2150/9726, ETA: 1:12:27, 1.74it/s, loss: 0.6762, RPNLoss.loss_cls: 0.0179, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1224, RCNNLoss.rcnn_loss_bbox: 0.1904, SampledMaskLoss.rcnn_loss_mask: 0.3132 [06/20 12:34:03] Vis4D INFO: Epoch 7: 2200/9726, ETA: 1:11:58, 1.74it/s, loss: 0.6968, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1176, RCNNLoss.rcnn_loss_bbox: 0.1659, SampledMaskLoss.rcnn_loss_mask: 0.3684 [06/20 12:34:33] Vis4D INFO: Epoch 7: 2250/9726, ETA: 1:11:33, 1.74it/s, loss: 0.6038, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.0945, RCNNLoss.rcnn_loss_bbox: 0.1485, SampledMaskLoss.rcnn_loss_mask: 0.3240 [06/20 12:35:01] Vis4D INFO: Epoch 7: 2300/9726, ETA: 1:11:04, 1.74it/s, loss: 0.6369, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.0996, RCNNLoss.rcnn_loss_bbox: 0.1552, SampledMaskLoss.rcnn_loss_mask: 0.3466 [06/20 12:35:29] Vis4D INFO: Epoch 7: 2350/9726, ETA: 1:10:33, 1.74it/s, loss: 0.5988, RPNLoss.loss_cls: 0.0087, RPNLoss.loss_bbox: 0.0276, RCNNLoss.rcnn_loss_cls: 0.0950, RCNNLoss.rcnn_loss_bbox: 0.1569, SampledMaskLoss.rcnn_loss_mask: 0.3106 [06/20 12:35:57] Vis4D INFO: Epoch 7: 2400/9726, ETA: 1:10:01, 1.74it/s, loss: 0.6219, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.1016, RCNNLoss.rcnn_loss_bbox: 0.1562, SampledMaskLoss.rcnn_loss_mask: 0.3216 [06/20 12:36:28] Vis4D INFO: Epoch 7: 2450/9726, ETA: 1:09:39, 1.74it/s, loss: 0.6722, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.1059, RCNNLoss.rcnn_loss_bbox: 0.1504, SampledMaskLoss.rcnn_loss_mask: 0.3743 [06/20 12:36:56] Vis4D INFO: Epoch 7: 2500/9726, ETA: 1:09:09, 1.74it/s, loss: 0.6622, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1044, RCNNLoss.rcnn_loss_bbox: 0.1644, SampledMaskLoss.rcnn_loss_mask: 0.3523 [06/20 12:37:23] Vis4D INFO: Epoch 7: 2550/9726, ETA: 1:08:36, 1.74it/s, loss: 0.6561, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0266, RCNNLoss.rcnn_loss_cls: 0.1060, RCNNLoss.rcnn_loss_bbox: 0.1609, SampledMaskLoss.rcnn_loss_mask: 0.3521 [06/20 12:37:52] Vis4D INFO: Epoch 7: 2600/9726, ETA: 1:08:06, 1.74it/s, loss: 0.6089, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.0895, RCNNLoss.rcnn_loss_bbox: 0.1459, SampledMaskLoss.rcnn_loss_mask: 0.3338 [06/20 12:38:19] Vis4D INFO: Epoch 7: 2650/9726, ETA: 1:07:35, 1.74it/s, loss: 0.6929, RPNLoss.loss_cls: 0.0188, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1273, RCNNLoss.rcnn_loss_bbox: 0.1860, SampledMaskLoss.rcnn_loss_mask: 0.3307 [06/20 12:38:48] Vis4D INFO: Epoch 7: 2700/9726, ETA: 1:07:07, 1.74it/s, loss: 0.6436, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.1045, RCNNLoss.rcnn_loss_bbox: 0.1678, SampledMaskLoss.rcnn_loss_mask: 0.3320 [06/20 12:39:16] Vis4D INFO: Epoch 7: 2750/9726, ETA: 1:06:37, 1.75it/s, loss: 0.6601, RPNLoss.loss_cls: 0.0154, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.1117, RCNNLoss.rcnn_loss_bbox: 0.1698, SampledMaskLoss.rcnn_loss_mask: 0.3358 [06/20 12:39:45] Vis4D INFO: Epoch 7: 2800/9726, ETA: 1:06:07, 1.75it/s, loss: 0.6840, RPNLoss.loss_cls: 0.0117, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1082, RCNNLoss.rcnn_loss_bbox: 0.1729, SampledMaskLoss.rcnn_loss_mask: 0.3586 [06/20 12:40:14] Vis4D INFO: Epoch 7: 2850/9726, ETA: 1:05:42, 1.74it/s, loss: 0.6958, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0325, RCNNLoss.rcnn_loss_cls: 0.1243, RCNNLoss.rcnn_loss_bbox: 0.1878, SampledMaskLoss.rcnn_loss_mask: 0.3369 [06/20 12:40:42] Vis4D INFO: Epoch 7: 2900/9726, ETA: 1:05:10, 1.75it/s, loss: 0.6507, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0305, RCNNLoss.rcnn_loss_cls: 0.1021, RCNNLoss.rcnn_loss_bbox: 0.1569, SampledMaskLoss.rcnn_loss_mask: 0.3462 [06/20 12:41:10] Vis4D INFO: Epoch 7: 2950/9726, ETA: 1:04:41, 1.75it/s, loss: 0.7244, RPNLoss.loss_cls: 0.0220, RPNLoss.loss_bbox: 0.0367, RCNNLoss.rcnn_loss_cls: 0.1295, RCNNLoss.rcnn_loss_bbox: 0.1890, SampledMaskLoss.rcnn_loss_mask: 0.3473 [06/20 12:41:38] Vis4D INFO: Epoch 7: 3000/9726, ETA: 1:04:11, 1.75it/s, loss: 0.6448, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1093, RCNNLoss.rcnn_loss_bbox: 0.1706, SampledMaskLoss.rcnn_loss_mask: 0.3239 [06/20 12:42:06] Vis4D INFO: Epoch 7: 3050/9726, ETA: 1:03:40, 1.75it/s, loss: 0.6099, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.0998, RCNNLoss.rcnn_loss_bbox: 0.1593, SampledMaskLoss.rcnn_loss_mask: 0.3088 [06/20 12:42:33] Vis4D INFO: Epoch 7: 3100/9726, ETA: 1:03:08, 1.75it/s, loss: 0.6562, RPNLoss.loss_cls: 0.0096, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1030, RCNNLoss.rcnn_loss_bbox: 0.1639, SampledMaskLoss.rcnn_loss_mask: 0.3495 [06/20 12:43:00] Vis4D INFO: Epoch 7: 3150/9726, ETA: 1:02:36, 1.75it/s, loss: 0.6454, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.0993, RCNNLoss.rcnn_loss_bbox: 0.1558, SampledMaskLoss.rcnn_loss_mask: 0.3455 [06/20 12:43:28] Vis4D INFO: Epoch 7: 3200/9726, ETA: 1:02:07, 1.75it/s, loss: 0.6233, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1007, RCNNLoss.rcnn_loss_bbox: 0.1611, SampledMaskLoss.rcnn_loss_mask: 0.3207 [06/20 12:43:58] Vis4D INFO: Epoch 7: 3250/9726, ETA: 1:01:40, 1.75it/s, loss: 0.7054, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1176, RCNNLoss.rcnn_loss_bbox: 0.1862, SampledMaskLoss.rcnn_loss_mask: 0.3525 [06/20 12:44:26] Vis4D INFO: Epoch 7: 3300/9726, ETA: 1:01:12, 1.75it/s, loss: 0.6574, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.1119, RCNNLoss.rcnn_loss_bbox: 0.1713, SampledMaskLoss.rcnn_loss_mask: 0.3306 [06/20 12:44:55] Vis4D INFO: Epoch 7: 3350/9726, ETA: 1:00:44, 1.75it/s, loss: 0.6397, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0312, RCNNLoss.rcnn_loss_cls: 0.1091, RCNNLoss.rcnn_loss_bbox: 0.1614, SampledMaskLoss.rcnn_loss_mask: 0.3220 [06/20 12:45:23] Vis4D INFO: Epoch 7: 3400/9726, ETA: 1:00:15, 1.75it/s, loss: 0.5853, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0244, RCNNLoss.rcnn_loss_cls: 0.1038, RCNNLoss.rcnn_loss_bbox: 0.1592, SampledMaskLoss.rcnn_loss_mask: 0.2866 [06/20 12:45:55] Vis4D INFO: Epoch 7: 3450/9726, ETA: 0:59:51, 1.75it/s, loss: 0.6522, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1036, RCNNLoss.rcnn_loss_bbox: 0.1582, SampledMaskLoss.rcnn_loss_mask: 0.3475 [06/20 12:46:26] Vis4D INFO: Epoch 7: 3500/9726, ETA: 0:59:26, 1.75it/s, loss: 0.6492, RPNLoss.loss_cls: 0.0161, RPNLoss.loss_bbox: 0.0334, RCNNLoss.rcnn_loss_cls: 0.1025, RCNNLoss.rcnn_loss_bbox: 0.1548, SampledMaskLoss.rcnn_loss_mask: 0.3424 [06/20 12:46:53] Vis4D INFO: Epoch 7: 3550/9726, ETA: 0:58:56, 1.75it/s, loss: 0.6430, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0249, RCNNLoss.rcnn_loss_cls: 0.1004, RCNNLoss.rcnn_loss_bbox: 0.1482, SampledMaskLoss.rcnn_loss_mask: 0.3571 [06/20 12:47:22] Vis4D INFO: Epoch 7: 3600/9726, ETA: 0:58:27, 1.75it/s, loss: 0.6350, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1111, RCNNLoss.rcnn_loss_bbox: 0.1652, SampledMaskLoss.rcnn_loss_mask: 0.3170 [06/20 12:47:52] Vis4D INFO: Epoch 7: 3650/9726, ETA: 0:58:01, 1.75it/s, loss: 0.6660, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1040, RCNNLoss.rcnn_loss_bbox: 0.1700, SampledMaskLoss.rcnn_loss_mask: 0.3481 [06/20 12:48:22] Vis4D INFO: Epoch 7: 3700/9726, ETA: 0:57:34, 1.74it/s, loss: 0.6231, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0281, RCNNLoss.rcnn_loss_cls: 0.1045, RCNNLoss.rcnn_loss_bbox: 0.1606, SampledMaskLoss.rcnn_loss_mask: 0.3188 [06/20 12:48:51] Vis4D INFO: Epoch 7: 3750/9726, ETA: 0:57:07, 1.74it/s, loss: 0.6257, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0975, RCNNLoss.rcnn_loss_bbox: 0.1579, SampledMaskLoss.rcnn_loss_mask: 0.3345 [06/20 12:49:22] Vis4D INFO: Epoch 7: 3800/9726, ETA: 0:56:42, 1.74it/s, loss: 0.7091, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1136, RCNNLoss.rcnn_loss_bbox: 0.1764, SampledMaskLoss.rcnn_loss_mask: 0.3737 [06/20 12:49:53] Vis4D INFO: Epoch 7: 3850/9726, ETA: 0:56:16, 1.74it/s, loss: 0.6555, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.1068, RCNNLoss.rcnn_loss_bbox: 0.1600, SampledMaskLoss.rcnn_loss_mask: 0.3486 [06/20 12:50:22] Vis4D INFO: Epoch 7: 3900/9726, ETA: 0:55:48, 1.74it/s, loss: 0.6206, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1060, RCNNLoss.rcnn_loss_bbox: 0.1552, SampledMaskLoss.rcnn_loss_mask: 0.3170 [06/20 12:50:50] Vis4D INFO: Epoch 7: 3950/9726, ETA: 0:55:18, 1.74it/s, loss: 0.6475, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.1057, RCNNLoss.rcnn_loss_bbox: 0.1723, SampledMaskLoss.rcnn_loss_mask: 0.3260 [06/20 12:51:17] Vis4D INFO: Epoch 7: 4000/9726, ETA: 0:54:47, 1.74it/s, loss: 0.6373, RPNLoss.loss_cls: 0.0199, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1143, RCNNLoss.rcnn_loss_bbox: 0.1646, SampledMaskLoss.rcnn_loss_mask: 0.3078 [06/20 12:51:45] Vis4D INFO: Epoch 7: 4050/9726, ETA: 0:54:17, 1.74it/s, loss: 0.6609, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.0980, RCNNLoss.rcnn_loss_bbox: 0.1543, SampledMaskLoss.rcnn_loss_mask: 0.3724 [06/20 12:52:14] Vis4D INFO: Epoch 7: 4100/9726, ETA: 0:53:49, 1.74it/s, loss: 0.6497, RPNLoss.loss_cls: 0.0207, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.0958, RCNNLoss.rcnn_loss_bbox: 0.1509, SampledMaskLoss.rcnn_loss_mask: 0.3521 [06/20 12:52:40] Vis4D INFO: Epoch 7: 4150/9726, ETA: 0:53:17, 1.74it/s, loss: 0.6488, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.0926, RCNNLoss.rcnn_loss_bbox: 0.1539, SampledMaskLoss.rcnn_loss_mask: 0.3621 [06/20 12:53:09] Vis4D INFO: Epoch 7: 4200/9726, ETA: 0:52:49, 1.74it/s, loss: 0.6898, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.1130, RCNNLoss.rcnn_loss_bbox: 0.1648, SampledMaskLoss.rcnn_loss_mask: 0.3711 [06/20 12:53:39] Vis4D INFO: Epoch 7: 4250/9726, ETA: 0:52:21, 1.74it/s, loss: 0.6508, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1020, RCNNLoss.rcnn_loss_bbox: 0.1664, SampledMaskLoss.rcnn_loss_mask: 0.3358 [06/20 12:54:07] Vis4D INFO: Epoch 7: 4300/9726, ETA: 0:51:52, 1.74it/s, loss: 0.5882, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.0955, RCNNLoss.rcnn_loss_bbox: 0.1565, SampledMaskLoss.rcnn_loss_mask: 0.2986 [06/20 12:54:38] Vis4D INFO: Epoch 7: 4350/9726, ETA: 0:51:26, 1.74it/s, loss: 0.5869, RPNLoss.loss_cls: 0.0123, RPNLoss.loss_bbox: 0.0272, RCNNLoss.rcnn_loss_cls: 0.0940, RCNNLoss.rcnn_loss_bbox: 0.1523, SampledMaskLoss.rcnn_loss_mask: 0.3012 [06/20 12:55:07] Vis4D INFO: Epoch 7: 4400/9726, ETA: 0:50:57, 1.74it/s, loss: 0.6683, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1079, RCNNLoss.rcnn_loss_bbox: 0.1714, SampledMaskLoss.rcnn_loss_mask: 0.3435 [06/20 12:55:34] Vis4D INFO: Epoch 7: 4450/9726, ETA: 0:50:26, 1.74it/s, loss: 0.6661, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.1007, RCNNLoss.rcnn_loss_bbox: 0.1608, SampledMaskLoss.rcnn_loss_mask: 0.3630 [06/20 12:56:02] Vis4D INFO: Epoch 7: 4500/9726, ETA: 0:49:57, 1.74it/s, loss: 0.6560, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1134, RCNNLoss.rcnn_loss_bbox: 0.1737, SampledMaskLoss.rcnn_loss_mask: 0.3280 [06/20 12:56:31] Vis4D INFO: Epoch 7: 4550/9726, ETA: 0:49:29, 1.74it/s, loss: 0.7236, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0370, RCNNLoss.rcnn_loss_cls: 0.1232, RCNNLoss.rcnn_loss_bbox: 0.1875, SampledMaskLoss.rcnn_loss_mask: 0.3604 [06/20 12:57:00] Vis4D INFO: Epoch 7: 4600/9726, ETA: 0:49:00, 1.74it/s, loss: 0.6300, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1121, RCNNLoss.rcnn_loss_bbox: 0.1657, SampledMaskLoss.rcnn_loss_mask: 0.3070 [06/20 12:57:27] Vis4D INFO: Epoch 7: 4650/9726, ETA: 0:48:31, 1.74it/s, loss: 0.6371, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1043, RCNNLoss.rcnn_loss_bbox: 0.1662, SampledMaskLoss.rcnn_loss_mask: 0.3249 [06/20 12:57:58] Vis4D INFO: Epoch 7: 4700/9726, ETA: 0:48:04, 1.74it/s, loss: 0.6740, RPNLoss.loss_cls: 0.0175, RPNLoss.loss_bbox: 0.0353, RCNNLoss.rcnn_loss_cls: 0.1144, RCNNLoss.rcnn_loss_bbox: 0.1790, SampledMaskLoss.rcnn_loss_mask: 0.3278 [06/20 12:58:27] Vis4D INFO: Epoch 7: 4750/9726, ETA: 0:47:35, 1.74it/s, loss: 0.6650, RPNLoss.loss_cls: 0.0188, RPNLoss.loss_bbox: 0.0325, RCNNLoss.rcnn_loss_cls: 0.1087, RCNNLoss.rcnn_loss_bbox: 0.1712, SampledMaskLoss.rcnn_loss_mask: 0.3338 [06/20 12:58:55] Vis4D INFO: Epoch 7: 4800/9726, ETA: 0:47:07, 1.74it/s, loss: 0.6201, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.0996, RCNNLoss.rcnn_loss_bbox: 0.1600, SampledMaskLoss.rcnn_loss_mask: 0.3204 [06/20 12:59:27] Vis4D INFO: Epoch 7: 4850/9726, ETA: 0:46:41, 1.74it/s, loss: 0.6507, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1134, RCNNLoss.rcnn_loss_bbox: 0.1793, SampledMaskLoss.rcnn_loss_mask: 0.3157 [06/20 12:59:56] Vis4D INFO: Epoch 7: 4900/9726, ETA: 0:46:13, 1.74it/s, loss: 0.6657, RPNLoss.loss_cls: 0.0178, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1166, RCNNLoss.rcnn_loss_bbox: 0.1787, SampledMaskLoss.rcnn_loss_mask: 0.3202 [06/20 13:00:25] Vis4D INFO: Epoch 7: 4950/9726, ETA: 0:45:44, 1.74it/s, loss: 0.6410, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0283, RCNNLoss.rcnn_loss_cls: 0.1151, RCNNLoss.rcnn_loss_bbox: 0.1697, SampledMaskLoss.rcnn_loss_mask: 0.3138 [06/20 13:00:52] Vis4D INFO: Epoch 7: 5000/9726, ETA: 0:45:13, 1.74it/s, loss: 0.6699, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1170, RCNNLoss.rcnn_loss_bbox: 0.1871, SampledMaskLoss.rcnn_loss_mask: 0.3182 [06/20 13:01:21] Vis4D INFO: Epoch 7: 5050/9726, ETA: 0:44:45, 1.74it/s, loss: 0.6471, RPNLoss.loss_cls: 0.0152, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1071, RCNNLoss.rcnn_loss_bbox: 0.1655, SampledMaskLoss.rcnn_loss_mask: 0.3285 [06/20 13:01:49] Vis4D INFO: Epoch 7: 5100/9726, ETA: 0:44:16, 1.74it/s, loss: 0.6425, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1059, RCNNLoss.rcnn_loss_bbox: 0.1622, SampledMaskLoss.rcnn_loss_mask: 0.3343 [06/20 13:02:18] Vis4D INFO: Epoch 7: 5150/9726, ETA: 0:43:48, 1.74it/s, loss: 0.7198, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1319, RCNNLoss.rcnn_loss_bbox: 0.1860, SampledMaskLoss.rcnn_loss_mask: 0.3591 [06/20 13:02:44] Vis4D INFO: Epoch 7: 5200/9726, ETA: 0:43:17, 1.74it/s, loss: 0.7075, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.1111, RCNNLoss.rcnn_loss_bbox: 0.1656, SampledMaskLoss.rcnn_loss_mask: 0.3891 [06/20 13:03:12] Vis4D INFO: Epoch 7: 5250/9726, ETA: 0:42:47, 1.74it/s, loss: 0.6039, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0237, RCNNLoss.rcnn_loss_cls: 0.0933, RCNNLoss.rcnn_loss_bbox: 0.1627, SampledMaskLoss.rcnn_loss_mask: 0.3111 [06/20 13:03:42] Vis4D INFO: Epoch 7: 5300/9726, ETA: 0:42:19, 1.74it/s, loss: 0.6551, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0333, RCNNLoss.rcnn_loss_cls: 0.1190, RCNNLoss.rcnn_loss_bbox: 0.1829, SampledMaskLoss.rcnn_loss_mask: 0.3056 [06/20 13:04:11] Vis4D INFO: Epoch 7: 5350/9726, ETA: 0:41:51, 1.74it/s, loss: 0.6131, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.0987, RCNNLoss.rcnn_loss_bbox: 0.1496, SampledMaskLoss.rcnn_loss_mask: 0.3281 [06/20 13:04:41] Vis4D INFO: Epoch 7: 5400/9726, ETA: 0:41:23, 1.74it/s, loss: 0.6571, RPNLoss.loss_cls: 0.0157, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1207, RCNNLoss.rcnn_loss_bbox: 0.1783, SampledMaskLoss.rcnn_loss_mask: 0.3097 [06/20 13:05:12] Vis4D INFO: Epoch 7: 5450/9726, ETA: 0:40:56, 1.74it/s, loss: 0.6173, RPNLoss.loss_cls: 0.0206, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1118, RCNNLoss.rcnn_loss_bbox: 0.1669, SampledMaskLoss.rcnn_loss_mask: 0.2881 [06/20 13:05:43] Vis4D INFO: Epoch 7: 5500/9726, ETA: 0:40:29, 1.74it/s, loss: 0.6816, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1040, RCNNLoss.rcnn_loss_bbox: 0.1643, SampledMaskLoss.rcnn_loss_mask: 0.3720 [06/20 13:06:15] Vis4D INFO: Epoch 7: 5550/9726, ETA: 0:40:03, 1.74it/s, loss: 0.6739, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1153, RCNNLoss.rcnn_loss_bbox: 0.1811, SampledMaskLoss.rcnn_loss_mask: 0.3318 [06/20 13:06:46] Vis4D INFO: Epoch 7: 5600/9726, ETA: 0:39:36, 1.74it/s, loss: 0.7018, RPNLoss.loss_cls: 0.0163, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1224, RCNNLoss.rcnn_loss_bbox: 0.1880, SampledMaskLoss.rcnn_loss_mask: 0.3419 [06/20 13:07:14] Vis4D INFO: Epoch 7: 5650/9726, ETA: 0:39:07, 1.74it/s, loss: 0.6799, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0335, RCNNLoss.rcnn_loss_cls: 0.1147, RCNNLoss.rcnn_loss_bbox: 0.1776, SampledMaskLoss.rcnn_loss_mask: 0.3391 [06/20 13:07:43] Vis4D INFO: Epoch 7: 5700/9726, ETA: 0:38:38, 1.74it/s, loss: 0.6048, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1061, RCNNLoss.rcnn_loss_bbox: 0.1614, SampledMaskLoss.rcnn_loss_mask: 0.2977 [06/20 13:08:12] Vis4D INFO: Epoch 7: 5750/9726, ETA: 0:38:09, 1.74it/s, loss: 0.7136, RPNLoss.loss_cls: 0.0176, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1137, RCNNLoss.rcnn_loss_bbox: 0.1726, SampledMaskLoss.rcnn_loss_mask: 0.3753 [06/20 13:08:39] Vis4D INFO: Epoch 7: 5800/9726, ETA: 0:37:40, 1.74it/s, loss: 0.6442, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0257, RCNNLoss.rcnn_loss_cls: 0.1074, RCNNLoss.rcnn_loss_bbox: 0.1688, SampledMaskLoss.rcnn_loss_mask: 0.3301 [06/20 13:09:08] Vis4D INFO: Epoch 7: 5850/9726, ETA: 0:37:11, 1.74it/s, loss: 0.6656, RPNLoss.loss_cls: 0.0184, RPNLoss.loss_bbox: 0.0266, RCNNLoss.rcnn_loss_cls: 0.1013, RCNNLoss.rcnn_loss_bbox: 0.1594, SampledMaskLoss.rcnn_loss_mask: 0.3599 [06/20 13:09:37] Vis4D INFO: Epoch 7: 5900/9726, ETA: 0:36:42, 1.74it/s, loss: 0.7008, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0346, RCNNLoss.rcnn_loss_cls: 0.1240, RCNNLoss.rcnn_loss_bbox: 0.1873, SampledMaskLoss.rcnn_loss_mask: 0.3405 [06/20 13:10:04] Vis4D INFO: Epoch 7: 5950/9726, ETA: 0:36:12, 1.74it/s, loss: 0.6656, RPNLoss.loss_cls: 0.0154, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1151, RCNNLoss.rcnn_loss_bbox: 0.1762, SampledMaskLoss.rcnn_loss_mask: 0.3263 [06/20 13:10:32] Vis4D INFO: Epoch 7: 6000/9726, ETA: 0:35:43, 1.74it/s, loss: 0.6556, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1027, RCNNLoss.rcnn_loss_bbox: 0.1565, SampledMaskLoss.rcnn_loss_mask: 0.3548 [06/20 13:10:59] Vis4D INFO: Epoch 7: 6050/9726, ETA: 0:35:13, 1.74it/s, loss: 0.6831, RPNLoss.loss_cls: 0.0152, RPNLoss.loss_bbox: 0.0351, RCNNLoss.rcnn_loss_cls: 0.1161, RCNNLoss.rcnn_loss_bbox: 0.1769, SampledMaskLoss.rcnn_loss_mask: 0.3398 [06/20 13:11:28] Vis4D INFO: Epoch 7: 6100/9726, ETA: 0:34:45, 1.74it/s, loss: 0.6272, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.1096, RCNNLoss.rcnn_loss_bbox: 0.1615, SampledMaskLoss.rcnn_loss_mask: 0.3110 [06/20 13:11:58] Vis4D INFO: Epoch 7: 6150/9726, ETA: 0:34:16, 1.74it/s, loss: 0.6739, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0287, RCNNLoss.rcnn_loss_cls: 0.1104, RCNNLoss.rcnn_loss_bbox: 0.1784, SampledMaskLoss.rcnn_loss_mask: 0.3421 [06/20 13:12:29] Vis4D INFO: Epoch 7: 6200/9726, ETA: 0:33:49, 1.74it/s, loss: 0.6814, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0347, RCNNLoss.rcnn_loss_cls: 0.1159, RCNNLoss.rcnn_loss_bbox: 0.1748, SampledMaskLoss.rcnn_loss_mask: 0.3387 [06/20 13:13:00] Vis4D INFO: Epoch 7: 6250/9726, ETA: 0:33:21, 1.74it/s, loss: 0.6247, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.0986, RCNNLoss.rcnn_loss_bbox: 0.1623, SampledMaskLoss.rcnn_loss_mask: 0.3202 [06/20 13:13:29] Vis4D INFO: Epoch 7: 6300/9726, ETA: 0:32:53, 1.74it/s, loss: 0.6420, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1019, RCNNLoss.rcnn_loss_bbox: 0.1697, SampledMaskLoss.rcnn_loss_mask: 0.3279 [06/20 13:13:58] Vis4D INFO: Epoch 7: 6350/9726, ETA: 0:32:24, 1.74it/s, loss: 0.6902, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0346, RCNNLoss.rcnn_loss_cls: 0.1262, RCNNLoss.rcnn_loss_bbox: 0.1937, SampledMaskLoss.rcnn_loss_mask: 0.3205 [06/20 13:14:26] Vis4D INFO: Epoch 7: 6400/9726, ETA: 0:31:55, 1.74it/s, loss: 0.7007, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1216, RCNNLoss.rcnn_loss_bbox: 0.1880, SampledMaskLoss.rcnn_loss_mask: 0.3446 [06/20 13:14:55] Vis4D INFO: Epoch 7: 6450/9726, ETA: 0:31:26, 1.74it/s, loss: 0.6217, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0935, RCNNLoss.rcnn_loss_bbox: 0.1529, SampledMaskLoss.rcnn_loss_mask: 0.3374 [06/20 13:15:22] Vis4D INFO: Epoch 7: 6500/9726, ETA: 0:30:57, 1.74it/s, loss: 0.6595, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0281, RCNNLoss.rcnn_loss_cls: 0.1033, RCNNLoss.rcnn_loss_bbox: 0.1675, SampledMaskLoss.rcnn_loss_mask: 0.3498 [06/20 13:15:51] Vis4D INFO: Epoch 7: 6550/9726, ETA: 0:30:28, 1.74it/s, loss: 0.6745, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1096, RCNNLoss.rcnn_loss_bbox: 0.1814, SampledMaskLoss.rcnn_loss_mask: 0.3364 [06/20 13:16:19] Vis4D INFO: Epoch 7: 6600/9726, ETA: 0:29:59, 1.74it/s, loss: 0.7000, RPNLoss.loss_cls: 0.0175, RPNLoss.loss_bbox: 0.0380, RCNNLoss.rcnn_loss_cls: 0.1218, RCNNLoss.rcnn_loss_bbox: 0.1834, SampledMaskLoss.rcnn_loss_mask: 0.3393 [06/20 13:16:51] Vis4D INFO: Epoch 7: 6650/9726, ETA: 0:29:31, 1.74it/s, loss: 0.6769, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1109, RCNNLoss.rcnn_loss_bbox: 0.1711, SampledMaskLoss.rcnn_loss_mask: 0.3543 [06/20 13:17:18] Vis4D INFO: Epoch 7: 6700/9726, ETA: 0:29:02, 1.74it/s, loss: 0.6257, RPNLoss.loss_cls: 0.0099, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0895, RCNNLoss.rcnn_loss_bbox: 0.1369, SampledMaskLoss.rcnn_loss_mask: 0.3689 [06/20 13:17:48] Vis4D INFO: Epoch 7: 6750/9726, ETA: 0:28:34, 1.74it/s, loss: 0.6359, RPNLoss.loss_cls: 0.0123, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1100, RCNNLoss.rcnn_loss_bbox: 0.1727, SampledMaskLoss.rcnn_loss_mask: 0.3101 [06/20 13:18:20] Vis4D INFO: Epoch 7: 6800/9726, ETA: 0:28:06, 1.74it/s, loss: 0.7208, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0338, RCNNLoss.rcnn_loss_cls: 0.1233, RCNNLoss.rcnn_loss_bbox: 0.1951, SampledMaskLoss.rcnn_loss_mask: 0.3542 [06/20 13:18:52] Vis4D INFO: Epoch 7: 6850/9726, ETA: 0:27:38, 1.73it/s, loss: 0.5874, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1102, RCNNLoss.rcnn_loss_bbox: 0.1721, SampledMaskLoss.rcnn_loss_mask: 0.2632 [06/20 13:19:24] Vis4D INFO: Epoch 7: 6900/9726, ETA: 0:27:11, 1.73it/s, loss: 0.6287, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0266, RCNNLoss.rcnn_loss_cls: 0.0989, RCNNLoss.rcnn_loss_bbox: 0.1689, SampledMaskLoss.rcnn_loss_mask: 0.3204 [06/20 13:19:57] Vis4D INFO: Epoch 7: 6950/9726, ETA: 0:26:44, 1.73it/s, loss: 0.6724, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0348, RCNNLoss.rcnn_loss_cls: 0.1168, RCNNLoss.rcnn_loss_bbox: 0.1927, SampledMaskLoss.rcnn_loss_mask: 0.3141 [06/20 13:20:28] Vis4D INFO: Epoch 7: 7000/9726, ETA: 0:26:16, 1.73it/s, loss: 0.6333, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1133, RCNNLoss.rcnn_loss_bbox: 0.1771, SampledMaskLoss.rcnn_loss_mask: 0.2955 [06/20 13:20:59] Vis4D INFO: Epoch 7: 7050/9726, ETA: 0:25:48, 1.73it/s, loss: 0.6451, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0276, RCNNLoss.rcnn_loss_cls: 0.1060, RCNNLoss.rcnn_loss_bbox: 0.1688, SampledMaskLoss.rcnn_loss_mask: 0.3313 [06/20 13:21:28] Vis4D INFO: Epoch 7: 7100/9726, ETA: 0:25:19, 1.73it/s, loss: 0.6537, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.1089, RCNNLoss.rcnn_loss_bbox: 0.1669, SampledMaskLoss.rcnn_loss_mask: 0.3380 [06/20 13:21:57] Vis4D INFO: Epoch 7: 7150/9726, ETA: 0:24:50, 1.73it/s, loss: 0.5892, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0287, RCNNLoss.rcnn_loss_cls: 0.1030, RCNNLoss.rcnn_loss_bbox: 0.1559, SampledMaskLoss.rcnn_loss_mask: 0.2879 [06/20 13:22:24] Vis4D INFO: Epoch 7: 7200/9726, ETA: 0:24:20, 1.73it/s, loss: 0.6115, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.0906, RCNNLoss.rcnn_loss_bbox: 0.1418, SampledMaskLoss.rcnn_loss_mask: 0.3423 [06/20 13:22:56] Vis4D INFO: Epoch 7: 7250/9726, ETA: 0:23:52, 1.73it/s, loss: 0.6909, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1110, RCNNLoss.rcnn_loss_bbox: 0.1711, SampledMaskLoss.rcnn_loss_mask: 0.3608 [06/20 13:23:27] Vis4D INFO: Epoch 7: 7300/9726, ETA: 0:23:24, 1.73it/s, loss: 0.6762, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1136, RCNNLoss.rcnn_loss_bbox: 0.1687, SampledMaskLoss.rcnn_loss_mask: 0.3531 [06/20 13:23:58] Vis4D INFO: Epoch 7: 7350/9726, ETA: 0:22:56, 1.73it/s, loss: 0.6314, RPNLoss.loss_cls: 0.0158, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.1123, RCNNLoss.rcnn_loss_bbox: 0.1721, SampledMaskLoss.rcnn_loss_mask: 0.3027 [06/20 13:24:28] Vis4D INFO: Epoch 7: 7400/9726, ETA: 0:22:27, 1.73it/s, loss: 0.6913, RPNLoss.loss_cls: 0.0190, RPNLoss.loss_bbox: 0.0357, RCNNLoss.rcnn_loss_cls: 0.1202, RCNNLoss.rcnn_loss_bbox: 0.1786, SampledMaskLoss.rcnn_loss_mask: 0.3379 [06/20 13:24:58] Vis4D INFO: Epoch 7: 7450/9726, ETA: 0:21:59, 1.73it/s, loss: 0.6615, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1056, RCNNLoss.rcnn_loss_bbox: 0.1757, SampledMaskLoss.rcnn_loss_mask: 0.3339 [06/20 13:25:27] Vis4D INFO: Epoch 7: 7500/9726, ETA: 0:21:30, 1.73it/s, loss: 0.6412, RPNLoss.loss_cls: 0.0178, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1120, RCNNLoss.rcnn_loss_bbox: 0.1692, SampledMaskLoss.rcnn_loss_mask: 0.3100 [06/20 13:25:58] Vis4D INFO: Epoch 7: 7550/9726, ETA: 0:21:01, 1.72it/s, loss: 0.6359, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1184, RCNNLoss.rcnn_loss_bbox: 0.1817, SampledMaskLoss.rcnn_loss_mask: 0.2867 [06/20 13:26:28] Vis4D INFO: Epoch 7: 7600/9726, ETA: 0:20:32, 1.72it/s, loss: 0.6077, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0259, RCNNLoss.rcnn_loss_cls: 0.0972, RCNNLoss.rcnn_loss_bbox: 0.1633, SampledMaskLoss.rcnn_loss_mask: 0.3134 [06/20 13:26:56] Vis4D INFO: Epoch 7: 7650/9726, ETA: 0:20:03, 1.72it/s, loss: 0.6351, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0271, RCNNLoss.rcnn_loss_cls: 0.1118, RCNNLoss.rcnn_loss_bbox: 0.1642, SampledMaskLoss.rcnn_loss_mask: 0.3165 [06/20 13:27:24] Vis4D INFO: Epoch 7: 7700/9726, ETA: 0:19:34, 1.73it/s, loss: 0.6795, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1060, RCNNLoss.rcnn_loss_bbox: 0.1645, SampledMaskLoss.rcnn_loss_mask: 0.3654 [06/20 13:27:51] Vis4D INFO: Epoch 7: 7750/9726, ETA: 0:19:04, 1.73it/s, loss: 0.6212, RPNLoss.loss_cls: 0.0154, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.0965, RCNNLoss.rcnn_loss_bbox: 0.1440, SampledMaskLoss.rcnn_loss_mask: 0.3404 [06/20 13:28:19] Vis4D INFO: Epoch 7: 7800/9726, ETA: 0:18:35, 1.73it/s, loss: 0.6469, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1092, RCNNLoss.rcnn_loss_bbox: 0.1723, SampledMaskLoss.rcnn_loss_mask: 0.3212 [06/20 13:28:45] Vis4D INFO: Epoch 7: 7850/9726, ETA: 0:18:06, 1.73it/s, loss: 0.5814, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0268, RCNNLoss.rcnn_loss_cls: 0.0945, RCNNLoss.rcnn_loss_bbox: 0.1462, SampledMaskLoss.rcnn_loss_mask: 0.3018 [06/20 13:29:12] Vis4D INFO: Epoch 7: 7900/9726, ETA: 0:17:36, 1.73it/s, loss: 0.6367, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0272, RCNNLoss.rcnn_loss_cls: 0.1067, RCNNLoss.rcnn_loss_bbox: 0.1651, SampledMaskLoss.rcnn_loss_mask: 0.3240 [06/20 13:29:39] Vis4D INFO: Epoch 7: 7950/9726, ETA: 0:17:07, 1.73it/s, loss: 0.6595, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1166, RCNNLoss.rcnn_loss_bbox: 0.1748, SampledMaskLoss.rcnn_loss_mask: 0.3267 [06/20 13:30:08] Vis4D INFO: Epoch 7: 8000/9726, ETA: 0:16:38, 1.73it/s, loss: 0.6258, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.0926, RCNNLoss.rcnn_loss_bbox: 0.1542, SampledMaskLoss.rcnn_loss_mask: 0.3380 [06/20 13:30:35] Vis4D INFO: Epoch 7: 8050/9726, ETA: 0:16:09, 1.73it/s, loss: 0.6621, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1127, RCNNLoss.rcnn_loss_bbox: 0.1690, SampledMaskLoss.rcnn_loss_mask: 0.3367 [06/20 13:31:02] Vis4D INFO: Epoch 7: 8100/9726, ETA: 0:15:39, 1.73it/s, loss: 0.6806, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1104, RCNNLoss.rcnn_loss_bbox: 0.1785, SampledMaskLoss.rcnn_loss_mask: 0.3408 [06/20 13:31:30] Vis4D INFO: Epoch 7: 8150/9726, ETA: 0:15:10, 1.73it/s, loss: 0.6408, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1066, RCNNLoss.rcnn_loss_bbox: 0.1632, SampledMaskLoss.rcnn_loss_mask: 0.3271 [06/20 13:31:58] Vis4D INFO: Epoch 7: 8200/9726, ETA: 0:14:41, 1.73it/s, loss: 0.5868, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.1035, RCNNLoss.rcnn_loss_bbox: 0.1592, SampledMaskLoss.rcnn_loss_mask: 0.2886 [06/20 13:32:26] Vis4D INFO: Epoch 7: 8250/9726, ETA: 0:14:12, 1.73it/s, loss: 0.6664, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0306, RCNNLoss.rcnn_loss_cls: 0.1108, RCNNLoss.rcnn_loss_bbox: 0.1631, SampledMaskLoss.rcnn_loss_mask: 0.3466 [06/20 13:32:53] Vis4D INFO: Epoch 7: 8300/9726, ETA: 0:13:43, 1.73it/s, loss: 0.5952, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.1063, RCNNLoss.rcnn_loss_bbox: 0.1600, SampledMaskLoss.rcnn_loss_mask: 0.2908 [06/20 13:33:22] Vis4D INFO: Epoch 7: 8350/9726, ETA: 0:13:14, 1.73it/s, loss: 0.7149, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0319, RCNNLoss.rcnn_loss_cls: 0.1098, RCNNLoss.rcnn_loss_bbox: 0.1659, SampledMaskLoss.rcnn_loss_mask: 0.3902 [06/20 13:33:53] Vis4D INFO: Epoch 7: 8400/9726, ETA: 0:12:46, 1.73it/s, loss: 0.6332, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.1093, RCNNLoss.rcnn_loss_bbox: 0.1673, SampledMaskLoss.rcnn_loss_mask: 0.3124 [06/20 13:34:22] Vis4D INFO: Epoch 7: 8450/9726, ETA: 0:12:17, 1.73it/s, loss: 0.6268, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0341, RCNNLoss.rcnn_loss_cls: 0.1118, RCNNLoss.rcnn_loss_bbox: 0.1796, SampledMaskLoss.rcnn_loss_mask: 0.2842 [06/20 13:34:52] Vis4D INFO: Epoch 7: 8500/9726, ETA: 0:11:48, 1.73it/s, loss: 0.6624, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1128, RCNNLoss.rcnn_loss_bbox: 0.1758, SampledMaskLoss.rcnn_loss_mask: 0.3291 [06/20 13:35:20] Vis4D INFO: Epoch 7: 8550/9726, ETA: 0:11:19, 1.73it/s, loss: 0.6194, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.1027, RCNNLoss.rcnn_loss_bbox: 0.1577, SampledMaskLoss.rcnn_loss_mask: 0.3213 [06/20 13:35:50] Vis4D INFO: Epoch 7: 8600/9726, ETA: 0:10:50, 1.73it/s, loss: 0.6085, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.0993, RCNNLoss.rcnn_loss_bbox: 0.1484, SampledMaskLoss.rcnn_loss_mask: 0.3205 [06/20 13:36:21] Vis4D INFO: Epoch 7: 8650/9726, ETA: 0:10:21, 1.73it/s, loss: 0.6382, RPNLoss.loss_cls: 0.0164, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.1147, RCNNLoss.rcnn_loss_bbox: 0.1745, SampledMaskLoss.rcnn_loss_mask: 0.3032 [06/20 13:36:52] Vis4D INFO: Epoch 7: 8700/9726, ETA: 0:09:53, 1.73it/s, loss: 0.6694, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.1108, RCNNLoss.rcnn_loss_bbox: 0.1744, SampledMaskLoss.rcnn_loss_mask: 0.3438 [06/20 13:37:21] Vis4D INFO: Epoch 7: 8750/9726, ETA: 0:09:24, 1.73it/s, loss: 0.6478, RPNLoss.loss_cls: 0.0200, RPNLoss.loss_bbox: 0.0310, RCNNLoss.rcnn_loss_cls: 0.1125, RCNNLoss.rcnn_loss_bbox: 0.1760, SampledMaskLoss.rcnn_loss_mask: 0.3084 [06/20 13:37:49] Vis4D INFO: Epoch 7: 8800/9726, ETA: 0:08:55, 1.73it/s, loss: 0.6490, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1081, RCNNLoss.rcnn_loss_bbox: 0.1631, SampledMaskLoss.rcnn_loss_mask: 0.3348 [06/20 13:38:16] Vis4D INFO: Epoch 7: 8850/9726, ETA: 0:08:26, 1.73it/s, loss: 0.6681, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.1061, RCNNLoss.rcnn_loss_bbox: 0.1697, SampledMaskLoss.rcnn_loss_mask: 0.3518 [06/20 13:38:43] Vis4D INFO: Epoch 7: 8900/9726, ETA: 0:07:57, 1.73it/s, loss: 0.6669, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0259, RCNNLoss.rcnn_loss_cls: 0.1022, RCNNLoss.rcnn_loss_bbox: 0.1637, SampledMaskLoss.rcnn_loss_mask: 0.3625 [06/20 13:39:10] Vis4D INFO: Epoch 7: 8950/9726, ETA: 0:07:28, 1.73it/s, loss: 0.6048, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.1047, RCNNLoss.rcnn_loss_bbox: 0.1618, SampledMaskLoss.rcnn_loss_mask: 0.2993 [06/20 13:39:36] Vis4D INFO: Epoch 7: 9000/9726, ETA: 0:06:59, 1.73it/s, loss: 0.6617, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0345, RCNNLoss.rcnn_loss_cls: 0.1165, RCNNLoss.rcnn_loss_bbox: 0.1794, SampledMaskLoss.rcnn_loss_mask: 0.3186 [06/20 13:40:04] Vis4D INFO: Epoch 7: 9050/9726, ETA: 0:06:30, 1.73it/s, loss: 0.7040, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.1270, RCNNLoss.rcnn_loss_bbox: 0.1797, SampledMaskLoss.rcnn_loss_mask: 0.3546 [06/20 13:40:30] Vis4D INFO: Epoch 7: 9100/9726, ETA: 0:06:01, 1.73it/s, loss: 0.5993, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.0993, RCNNLoss.rcnn_loss_bbox: 0.1679, SampledMaskLoss.rcnn_loss_mask: 0.2908 [06/20 13:40:57] Vis4D INFO: Epoch 7: 9150/9726, ETA: 0:05:32, 1.73it/s, loss: 0.6609, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1109, RCNNLoss.rcnn_loss_bbox: 0.1840, SampledMaskLoss.rcnn_loss_mask: 0.3225 [06/20 13:41:26] Vis4D INFO: Epoch 7: 9200/9726, ETA: 0:05:03, 1.73it/s, loss: 0.6055, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1072, RCNNLoss.rcnn_loss_bbox: 0.1656, SampledMaskLoss.rcnn_loss_mask: 0.2901 [06/20 13:41:52] Vis4D INFO: Epoch 7: 9250/9726, ETA: 0:04:34, 1.73it/s, loss: 0.6607, RPNLoss.loss_cls: 0.0159, RPNLoss.loss_bbox: 0.0372, RCNNLoss.rcnn_loss_cls: 0.1178, RCNNLoss.rcnn_loss_bbox: 0.1833, SampledMaskLoss.rcnn_loss_mask: 0.3065 [06/20 13:42:18] Vis4D INFO: Epoch 7: 9300/9726, ETA: 0:04:05, 1.74it/s, loss: 0.6256, RPNLoss.loss_cls: 0.0121, RPNLoss.loss_bbox: 0.0244, RCNNLoss.rcnn_loss_cls: 0.0963, RCNNLoss.rcnn_loss_bbox: 0.1600, SampledMaskLoss.rcnn_loss_mask: 0.3328 [06/20 13:42:46] Vis4D INFO: Epoch 7: 9350/9726, ETA: 0:03:36, 1.74it/s, loss: 0.6495, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1117, RCNNLoss.rcnn_loss_bbox: 0.1630, SampledMaskLoss.rcnn_loss_mask: 0.3271 [06/20 13:43:15] Vis4D INFO: Epoch 7: 9400/9726, ETA: 0:03:07, 1.74it/s, loss: 0.6471, RPNLoss.loss_cls: 0.0177, RPNLoss.loss_bbox: 0.0344, RCNNLoss.rcnn_loss_cls: 0.1092, RCNNLoss.rcnn_loss_bbox: 0.1660, SampledMaskLoss.rcnn_loss_mask: 0.3197 [06/20 13:43:45] Vis4D INFO: Epoch 7: 9450/9726, ETA: 0:02:39, 1.74it/s, loss: 0.6443, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1148, RCNNLoss.rcnn_loss_bbox: 0.1670, SampledMaskLoss.rcnn_loss_mask: 0.3172 [06/20 13:44:14] Vis4D INFO: Epoch 7: 9500/9726, ETA: 0:02:10, 1.74it/s, loss: 0.5921, RPNLoss.loss_cls: 0.0097, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.0944, RCNNLoss.rcnn_loss_bbox: 0.1527, SampledMaskLoss.rcnn_loss_mask: 0.3074 [06/20 13:44:44] Vis4D INFO: Epoch 7: 9550/9726, ETA: 0:01:41, 1.74it/s, loss: 0.6578, RPNLoss.loss_cls: 0.0099, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.1085, RCNNLoss.rcnn_loss_bbox: 0.1692, SampledMaskLoss.rcnn_loss_mask: 0.3438 [06/20 13:45:15] Vis4D INFO: Epoch 7: 9600/9726, ETA: 0:01:12, 1.73it/s, loss: 0.6543, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0340, RCNNLoss.rcnn_loss_cls: 0.1216, RCNNLoss.rcnn_loss_bbox: 0.1913, SampledMaskLoss.rcnn_loss_mask: 0.2930 [06/20 13:45:43] Vis4D INFO: Epoch 7: 9650/9726, ETA: 0:00:43, 1.73it/s, loss: 0.6958, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1083, RCNNLoss.rcnn_loss_bbox: 0.1638, SampledMaskLoss.rcnn_loss_mask: 0.3804 [06/20 13:46:12] Vis4D INFO: Epoch 7: 9700/9726, ETA: 0:00:14, 1.73it/s, loss: 0.6733, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1133, RCNNLoss.rcnn_loss_bbox: 0.1728, SampledMaskLoss.rcnn_loss_mask: 0.3447 [06/20 13:46:46] Vis4D INFO: Testing: 50/1400, ETA: 0:08:38, 2.61it/s [06/20 13:47:03] Vis4D INFO: Testing: 100/1400, ETA: 0:07:49, 2.77it/s [06/20 13:47:16] Vis4D INFO: Testing: 150/1400, ETA: 0:06:42, 3.11it/s [06/20 13:47:29] Vis4D INFO: Testing: 200/1400, ETA: 0:06:11, 3.23it/s [06/20 13:47:45] Vis4D INFO: Testing: 250/1400, ETA: 0:05:57, 3.22it/s [06/20 13:47:55] Vis4D INFO: Testing: 300/1400, ETA: 0:05:22, 3.41it/s [06/20 13:48:06] Vis4D INFO: Testing: 350/1400, ETA: 0:04:56, 3.54it/s [06/20 13:48:23] Vis4D INFO: Testing: 400/1400, ETA: 0:04:48, 3.47it/s [06/20 13:48:39] Vis4D INFO: Testing: 450/1400, ETA: 0:04:38, 3.41it/s [06/20 13:48:51] Vis4D INFO: Testing: 500/1400, ETA: 0:04:18, 3.48it/s [06/20 13:49:05] Vis4D INFO: Testing: 550/1400, ETA: 0:04:04, 3.48it/s [06/20 13:49:26] Vis4D INFO: Testing: 600/1400, ETA: 0:03:58, 3.36it/s [06/20 13:49:41] Vis4D INFO: Testing: 650/1400, ETA: 0:03:43, 3.35it/s [06/20 13:49:51] Vis4D INFO: Testing: 700/1400, ETA: 0:03:24, 3.43it/s [06/20 13:50:05] Vis4D INFO: Testing: 750/1400, ETA: 0:03:08, 3.45it/s [06/20 13:50:14] Vis4D INFO: Testing: 800/1400, ETA: 0:02:49, 3.53it/s [06/20 13:50:26] Vis4D INFO: Testing: 850/1400, ETA: 0:02:34, 3.56it/s [06/20 13:50:37] Vis4D INFO: Testing: 900/1400, ETA: 0:02:18, 3.60it/s [06/20 13:50:53] Vis4D INFO: Testing: 950/1400, ETA: 0:02:05, 3.58it/s [06/20 13:51:03] Vis4D INFO: Testing: 1000/1400, ETA: 0:01:50, 3.63it/s [06/20 13:51:16] Vis4D INFO: Testing: 1050/1400, ETA: 0:01:36, 3.64it/s [06/20 13:51:28] Vis4D INFO: Testing: 1100/1400, ETA: 0:01:22, 3.65it/s [06/20 13:51:44] Vis4D INFO: Testing: 1150/1400, ETA: 0:01:08, 3.63it/s [06/20 13:51:59] Vis4D INFO: Testing: 1200/1400, ETA: 0:00:55, 3.62it/s [06/20 13:52:11] Vis4D INFO: Testing: 1250/1400, ETA: 0:00:41, 3.64it/s [06/20 13:52:21] Vis4D INFO: Testing: 1300/1400, ETA: 0:00:27, 3.68it/s [06/20 13:52:35] Vis4D INFO: Testing: 1350/1400, ETA: 0:00:13, 3.67it/s [06/20 13:52:49] Vis4D INFO: Testing: 1400/1400, ETA: 0:00:00, 3.67it/s [06/20 13:52:49] Vis4D INFO: Running evaluator Scalabel Tracking Evaluator... [06/20 13:53:03] Vis4D INFO: Det/AP: 38.9295 [06/20 13:53:03] Vis4D INFO: Det/AP50: 59.2956 [06/20 13:53:03] Vis4D INFO: Det/AP75: 44.1991 [06/20 13:53:03] Vis4D INFO: Det/APs: 22.9088 [06/20 13:53:03] Vis4D INFO: Det/APm: 64.5462 [06/20 13:53:03] Vis4D INFO: Det/APl: 79.7448 [06/20 13:53:03] Vis4D INFO: Det/AR1: 29.0613 [06/20 13:53:03] Vis4D INFO: Det/AR10: 43.6100 [06/20 13:53:03] Vis4D INFO: Det/AR100: 44.4141 [06/20 13:53:03] Vis4D INFO: Det/ARs: 28.6679 [06/20 13:53:03] Vis4D INFO: Det/ARm: 70.9025 [06/20 13:53:03] Vis4D INFO: Det/ARl: 84.2362 [06/20 13:53:03] Vis4D INFO: Det/AP/pedestrian: 38.4622 [06/20 13:53:03] Vis4D INFO: Det/AP/car: 46.3066 [06/20 13:53:03] Vis4D INFO: Det/AP/truck: 40.6713 [06/20 13:53:03] Vis4D INFO: Det/AP/bus: 35.2987 [06/20 13:53:03] Vis4D INFO: Det/AP/motorcycle: 39.4356 [06/20 13:53:03] Vis4D INFO: Det/AP/bicycle: 33.4029 [06/20 13:53:03] Vis4D INFO: Showing evaluation results for Det [06/20 13:53:03] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl --------------------------------------------------------------------------- pedestrian 38.5 63.5 42.2 29.1 71.6 80.5 11.4 39.0 42.7 34.2 76.3 84.4 car 46.3 65.3 52.2 27.3 67.0 86.1 19.8 50.5 51.6 32.8 73.8 90.1 truck 40.7 62.8 46.1 21.3 60.3 75.0 31.9 46.7 46.7 28.4 66.5 80.4 bus 35.3 54.3 39.5 24.3 69.9 81.6 37.7 42.9 42.9 32.4 75.8 88.3 motorcycle 39.4 58.4 47.4 20.7 65.8 79.7 38.2 44.0 44.0 24.4 71.9 83.4 bicycle 33.4 51.4 37.8 14.8 52.7 75.5 35.5 38.5 38.5 19.8 61.2 78.9 --------------------------------------------------------------------------- OVERALL 38.9 59.3 44.2 22.9 64.5 79.7 29.1 43.6 44.4 28.7 70.9 84.2 [06/20 13:53:24] Vis4D INFO: InsSeg/AP: 1.0951 [06/20 13:53:24] Vis4D INFO: InsSeg/AP50: 1.6012 [06/20 13:53:24] Vis4D INFO: InsSeg/AP75: 1.2031 [06/20 13:53:24] Vis4D INFO: InsSeg/APs: 0.6358 [06/20 13:53:24] Vis4D INFO: InsSeg/APm: 2.6281 [06/20 13:53:24] Vis4D INFO: InsSeg/APl: 2.8441 [06/20 13:53:24] Vis4D INFO: InsSeg/AR1: 0.7464 [06/20 13:53:24] Vis4D INFO: InsSeg/AR10: 0.9136 [06/20 13:53:24] Vis4D INFO: InsSeg/AR100: 0.9140 [06/20 13:53:24] Vis4D INFO: InsSeg/ARs: 0.4385 [06/20 13:53:24] Vis4D INFO: InsSeg/ARm: 2.5091 [06/20 13:53:24] Vis4D INFO: InsSeg/ARl: 2.5844 [06/20 13:53:24] Vis4D INFO: InsSeg/AP/pedestrian: 0.9341 [06/20 13:53:24] Vis4D INFO: InsSeg/AP/car: 1.1725 [06/20 13:53:24] Vis4D INFO: InsSeg/AP/truck: 0.9241 [06/20 13:53:24] Vis4D INFO: InsSeg/AP/bus: 0.8260 [06/20 13:53:24] Vis4D INFO: InsSeg/AP/motorcycle: 1.2288 [06/20 13:53:24] Vis4D INFO: InsSeg/AP/bicycle: 1.4851 [06/20 13:53:24] Vis4D INFO: Showing evaluation results for InsSeg [06/20 13:53:24] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl -------------------------------------------------------------------------- pedestrian 0.9 1.8 0.6 0.8 2.2 2.0 0.4 0.8 0.8 0.6 2.2 1.6 car 1.2 1.5 1.4 0.9 1.7 2.1 0.9 1.2 1.2 1.0 1.5 1.6 truck 0.9 1.0 1.0 0.7 1.5 2.6 0.6 0.6 0.6 0.1 1.1 1.9 bus 0.8 1.5 0.6 0.0 4.3 0.0 0.8 0.8 0.8 0.0 5.2 0.0 motorcycle 1.2 1.9 1.7 1.2 2.3 0.0 0.7 1.0 1.0 0.8 1.9 0.0 bicycle 1.5 2.0 2.0 0.2 3.7 10.4 1.2 1.2 1.2 0.1 3.2 10.4 -------------------------------------------------------------------------- OVERALL 1.1 1.6 1.2 0.6 2.6 2.8 0.7 0.9 0.9 0.4 2.5 2.6 [06/20 13:53:56] Vis4D INFO: Epoch 8: 50/9726, ETA: 1:39:53, 1.61it/s, loss: 0.6350, RPNLoss.loss_cls: 0.0099, RPNLoss.loss_bbox: 0.0312, RCNNLoss.rcnn_loss_cls: 0.1089, RCNNLoss.rcnn_loss_bbox: 0.1784, SampledMaskLoss.rcnn_loss_mask: 0.3065 [06/20 13:54:26] Vis4D INFO: Epoch 8: 100/9726, ETA: 1:37:17, 1.65it/s, loss: 0.7029, RPNLoss.loss_cls: 0.0121, RPNLoss.loss_bbox: 0.0345, RCNNLoss.rcnn_loss_cls: 0.1157, RCNNLoss.rcnn_loss_bbox: 0.1911, SampledMaskLoss.rcnn_loss_mask: 0.3496 [06/20 13:54:57] Vis4D INFO: Epoch 8: 150/9726, ETA: 1:38:04, 1.63it/s, loss: 0.5819, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1164, RCNNLoss.rcnn_loss_bbox: 0.1717, SampledMaskLoss.rcnn_loss_mask: 0.2512 [06/20 13:55:28] Vis4D INFO: Epoch 8: 200/9726, ETA: 1:37:27, 1.63it/s, loss: 0.6505, RPNLoss.loss_cls: 0.0178, RPNLoss.loss_bbox: 0.0337, RCNNLoss.rcnn_loss_cls: 0.1130, RCNNLoss.rcnn_loss_bbox: 0.1742, SampledMaskLoss.rcnn_loss_mask: 0.3118 [06/20 13:56:01] Vis4D INFO: Epoch 8: 250/9726, ETA: 1:38:10, 1.61it/s, loss: 0.6477, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1108, RCNNLoss.rcnn_loss_bbox: 0.1680, SampledMaskLoss.rcnn_loss_mask: 0.3246 [06/20 13:56:32] Vis4D INFO: Epoch 8: 300/9726, ETA: 1:37:47, 1.61it/s, loss: 0.6348, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.0904, RCNNLoss.rcnn_loss_bbox: 0.1479, SampledMaskLoss.rcnn_loss_mask: 0.3524 [06/20 13:57:03] Vis4D INFO: Epoch 8: 350/9726, ETA: 1:37:24, 1.60it/s, loss: 0.6214, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.1065, RCNNLoss.rcnn_loss_bbox: 0.1697, SampledMaskLoss.rcnn_loss_mask: 0.3049 [06/20 13:57:35] Vis4D INFO: Epoch 8: 400/9726, ETA: 1:36:53, 1.60it/s, loss: 0.6354, RPNLoss.loss_cls: 0.0232, RPNLoss.loss_bbox: 0.0333, RCNNLoss.rcnn_loss_cls: 0.1098, RCNNLoss.rcnn_loss_bbox: 0.1763, SampledMaskLoss.rcnn_loss_mask: 0.2927 [06/20 13:58:09] Vis4D INFO: Epoch 8: 450/9726, ETA: 1:37:24, 1.59it/s, loss: 0.6255, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1068, RCNNLoss.rcnn_loss_bbox: 0.1525, SampledMaskLoss.rcnn_loss_mask: 0.3229 [06/20 13:58:40] Vis4D INFO: Epoch 8: 500/9726, ETA: 1:36:40, 1.59it/s, loss: 0.6183, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.0949, RCNNLoss.rcnn_loss_bbox: 0.1568, SampledMaskLoss.rcnn_loss_mask: 0.3231 [06/20 13:59:12] Vis4D INFO: Epoch 8: 550/9726, ETA: 1:36:20, 1.59it/s, loss: 0.5706, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1048, RCNNLoss.rcnn_loss_bbox: 0.1617, SampledMaskLoss.rcnn_loss_mask: 0.2629 [06/20 13:59:42] Vis4D INFO: Epoch 8: 600/9726, ETA: 1:35:31, 1.59it/s, loss: 0.6574, RPNLoss.loss_cls: 0.0179, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.1113, RCNNLoss.rcnn_loss_bbox: 0.1706, SampledMaskLoss.rcnn_loss_mask: 0.3272 [06/20 14:00:13] Vis4D INFO: Epoch 8: 650/9726, ETA: 1:34:54, 1.59it/s, loss: 0.6662, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1076, RCNNLoss.rcnn_loss_bbox: 0.1595, SampledMaskLoss.rcnn_loss_mask: 0.3572 [06/20 14:00:43] Vis4D INFO: Epoch 8: 700/9726, ETA: 1:34:03, 1.60it/s, loss: 0.6576, RPNLoss.loss_cls: 0.0104, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.1022, RCNNLoss.rcnn_loss_bbox: 0.1575, SampledMaskLoss.rcnn_loss_mask: 0.3624 [06/20 14:01:13] Vis4D INFO: Epoch 8: 750/9726, ETA: 1:33:23, 1.60it/s, loss: 0.5992, RPNLoss.loss_cls: 0.0098, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.0970, RCNNLoss.rcnn_loss_bbox: 0.1527, SampledMaskLoss.rcnn_loss_mask: 0.3147 [06/20 14:01:42] Vis4D INFO: Epoch 8: 800/9726, ETA: 1:32:17, 1.61it/s, loss: 0.5784, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1002, RCNNLoss.rcnn_loss_bbox: 0.1494, SampledMaskLoss.rcnn_loss_mask: 0.2892 [06/20 14:02:09] Vis4D INFO: Epoch 8: 850/9726, ETA: 1:31:09, 1.62it/s, loss: 0.6036, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0318, RCNNLoss.rcnn_loss_cls: 0.1009, RCNNLoss.rcnn_loss_bbox: 0.1673, SampledMaskLoss.rcnn_loss_mask: 0.2908 [06/20 14:02:37] Vis4D INFO: Epoch 8: 900/9726, ETA: 1:30:10, 1.63it/s, loss: 0.6168, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.0942, RCNNLoss.rcnn_loss_bbox: 0.1600, SampledMaskLoss.rcnn_loss_mask: 0.3215 [06/20 14:03:06] Vis4D INFO: Epoch 8: 950/9726, ETA: 1:29:20, 1.64it/s, loss: 0.6877, RPNLoss.loss_cls: 0.0169, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1128, RCNNLoss.rcnn_loss_bbox: 0.1667, SampledMaskLoss.rcnn_loss_mask: 0.3598 [06/20 14:03:35] Vis4D INFO: Epoch 8: 1000/9726, ETA: 1:28:36, 1.64it/s, loss: 0.6329, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0268, RCNNLoss.rcnn_loss_cls: 0.1067, RCNNLoss.rcnn_loss_bbox: 0.1636, SampledMaskLoss.rcnn_loss_mask: 0.3217 [06/20 14:04:03] Vis4D INFO: Epoch 8: 1050/9726, ETA: 1:27:49, 1.65it/s, loss: 0.6492, RPNLoss.loss_cls: 0.0167, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1078, RCNNLoss.rcnn_loss_bbox: 0.1694, SampledMaskLoss.rcnn_loss_mask: 0.3237 [06/20 14:04:30] Vis4D INFO: Epoch 8: 1100/9726, ETA: 1:26:49, 1.66it/s, loss: 0.5858, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0254, RCNNLoss.rcnn_loss_cls: 0.0933, RCNNLoss.rcnn_loss_bbox: 0.1528, SampledMaskLoss.rcnn_loss_mask: 0.3002 [06/20 14:04:59] Vis4D INFO: Epoch 8: 1150/9726, ETA: 1:26:12, 1.66it/s, loss: 0.6729, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1091, RCNNLoss.rcnn_loss_bbox: 0.1704, SampledMaskLoss.rcnn_loss_mask: 0.3518 [06/20 14:05:26] Vis4D INFO: Epoch 8: 1200/9726, ETA: 1:25:21, 1.66it/s, loss: 0.7037, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0345, RCNNLoss.rcnn_loss_cls: 0.1173, RCNNLoss.rcnn_loss_bbox: 0.1721, SampledMaskLoss.rcnn_loss_mask: 0.3652 [06/20 14:05:56] Vis4D INFO: Epoch 8: 1250/9726, ETA: 1:24:52, 1.66it/s, loss: 0.6322, RPNLoss.loss_cls: 0.0241, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1025, RCNNLoss.rcnn_loss_bbox: 0.1631, SampledMaskLoss.rcnn_loss_mask: 0.3109 [06/20 14:06:25] Vis4D INFO: Epoch 8: 1300/9726, ETA: 1:24:12, 1.67it/s, loss: 0.7014, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.1102, RCNNLoss.rcnn_loss_bbox: 0.1686, SampledMaskLoss.rcnn_loss_mask: 0.3819 [06/20 14:06:53] Vis4D INFO: Epoch 8: 1350/9726, ETA: 1:23:28, 1.67it/s, loss: 0.6255, RPNLoss.loss_cls: 0.0199, RPNLoss.loss_bbox: 0.0268, RCNNLoss.rcnn_loss_cls: 0.1025, RCNNLoss.rcnn_loss_bbox: 0.1594, SampledMaskLoss.rcnn_loss_mask: 0.3170 [06/20 14:07:19] Vis4D INFO: Epoch 8: 1400/9726, ETA: 1:22:37, 1.68it/s, loss: 0.6515, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0381, RCNNLoss.rcnn_loss_cls: 0.1143, RCNNLoss.rcnn_loss_bbox: 0.1721, SampledMaskLoss.rcnn_loss_mask: 0.3130 [06/20 14:07:49] Vis4D INFO: Epoch 8: 1450/9726, ETA: 1:22:11, 1.68it/s, loss: 0.6031, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0261, RCNNLoss.rcnn_loss_cls: 0.1052, RCNNLoss.rcnn_loss_bbox: 0.1601, SampledMaskLoss.rcnn_loss_mask: 0.2991 [06/20 14:08:22] Vis4D INFO: Epoch 8: 1500/9726, ETA: 1:21:59, 1.67it/s, loss: 0.6373, RPNLoss.loss_cls: 0.0106, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1061, RCNNLoss.rcnn_loss_bbox: 0.1612, SampledMaskLoss.rcnn_loss_mask: 0.3303 [06/20 14:08:54] Vis4D INFO: Epoch 8: 1550/9726, ETA: 1:21:38, 1.67it/s, loss: 0.6471, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1145, RCNNLoss.rcnn_loss_bbox: 0.1753, SampledMaskLoss.rcnn_loss_mask: 0.3163 [06/20 14:09:23] Vis4D INFO: Epoch 8: 1600/9726, ETA: 1:21:06, 1.67it/s, loss: 0.6696, RPNLoss.loss_cls: 0.0221, RPNLoss.loss_bbox: 0.0347, RCNNLoss.rcnn_loss_cls: 0.1183, RCNNLoss.rcnn_loss_bbox: 0.1821, SampledMaskLoss.rcnn_loss_mask: 0.3124 [06/20 14:09:53] Vis4D INFO: Epoch 8: 1650/9726, ETA: 1:20:32, 1.67it/s, loss: 0.6632, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0305, RCNNLoss.rcnn_loss_cls: 0.1059, RCNNLoss.rcnn_loss_bbox: 0.1652, SampledMaskLoss.rcnn_loss_mask: 0.3489 [06/20 14:10:23] Vis4D INFO: Epoch 8: 1700/9726, ETA: 1:20:05, 1.67it/s, loss: 0.6695, RPNLoss.loss_cls: 0.0152, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1057, RCNNLoss.rcnn_loss_bbox: 0.1713, SampledMaskLoss.rcnn_loss_mask: 0.3476 [06/20 14:10:51] Vis4D INFO: Epoch 8: 1750/9726, ETA: 1:19:27, 1.67it/s, loss: 0.6650, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0329, RCNNLoss.rcnn_loss_cls: 0.1179, RCNNLoss.rcnn_loss_bbox: 0.1807, SampledMaskLoss.rcnn_loss_mask: 0.3203 [06/20 14:11:19] Vis4D INFO: Epoch 8: 1800/9726, ETA: 1:18:49, 1.68it/s, loss: 0.5695, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0809, RCNNLoss.rcnn_loss_bbox: 0.1339, SampledMaskLoss.rcnn_loss_mask: 0.3256 [06/20 14:11:46] Vis4D INFO: Epoch 8: 1850/9726, ETA: 1:18:07, 1.68it/s, loss: 0.6482, RPNLoss.loss_cls: 0.0149, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.1037, RCNNLoss.rcnn_loss_bbox: 0.1625, SampledMaskLoss.rcnn_loss_mask: 0.3397 [06/20 14:12:13] Vis4D INFO: Epoch 8: 1900/9726, ETA: 1:17:23, 1.69it/s, loss: 0.5406, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.0946, RCNNLoss.rcnn_loss_bbox: 0.1483, SampledMaskLoss.rcnn_loss_mask: 0.2568 [06/20 14:12:41] Vis4D INFO: Epoch 8: 1950/9726, ETA: 1:16:49, 1.69it/s, loss: 0.6561, RPNLoss.loss_cls: 0.0168, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.0985, RCNNLoss.rcnn_loss_bbox: 0.1512, SampledMaskLoss.rcnn_loss_mask: 0.3611 [06/20 14:13:09] Vis4D INFO: Epoch 8: 2000/9726, ETA: 1:16:11, 1.69it/s, loss: 0.6278, RPNLoss.loss_cls: 0.0167, RPNLoss.loss_bbox: 0.0318, RCNNLoss.rcnn_loss_cls: 0.1127, RCNNLoss.rcnn_loss_bbox: 0.1709, SampledMaskLoss.rcnn_loss_mask: 0.2957 [06/20 14:13:37] Vis4D INFO: Epoch 8: 2050/9726, ETA: 1:15:36, 1.69it/s, loss: 0.6398, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1083, RCNNLoss.rcnn_loss_bbox: 0.1698, SampledMaskLoss.rcnn_loss_mask: 0.3184 [06/20 14:14:05] Vis4D INFO: Epoch 8: 2100/9726, ETA: 1:15:02, 1.69it/s, loss: 0.5764, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0254, RCNNLoss.rcnn_loss_cls: 0.0995, RCNNLoss.rcnn_loss_bbox: 0.1534, SampledMaskLoss.rcnn_loss_mask: 0.2859 [06/20 14:14:33] Vis4D INFO: Epoch 8: 2150/9726, ETA: 1:14:27, 1.70it/s, loss: 0.6574, RPNLoss.loss_cls: 0.0189, RPNLoss.loss_bbox: 0.0308, RCNNLoss.rcnn_loss_cls: 0.1047, RCNNLoss.rcnn_loss_bbox: 0.1689, SampledMaskLoss.rcnn_loss_mask: 0.3341 [06/20 14:15:02] Vis4D INFO: Epoch 8: 2200/9726, ETA: 1:13:57, 1.70it/s, loss: 0.6341, RPNLoss.loss_cls: 0.0194, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.0950, RCNNLoss.rcnn_loss_bbox: 0.1455, SampledMaskLoss.rcnn_loss_mask: 0.3453 [06/20 14:15:30] Vis4D INFO: Epoch 8: 2250/9726, ETA: 1:13:22, 1.70it/s, loss: 0.6149, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.0985, RCNNLoss.rcnn_loss_bbox: 0.1514, SampledMaskLoss.rcnn_loss_mask: 0.3258 [06/20 14:15:56] Vis4D INFO: Epoch 8: 2300/9726, ETA: 1:12:42, 1.70it/s, loss: 0.5976, RPNLoss.loss_cls: 0.0123, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1014, RCNNLoss.rcnn_loss_bbox: 0.1590, SampledMaskLoss.rcnn_loss_mask: 0.2953 [06/20 14:16:25] Vis4D INFO: Epoch 8: 2350/9726, ETA: 1:12:09, 1.70it/s, loss: 0.6141, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1116, RCNNLoss.rcnn_loss_bbox: 0.1690, SampledMaskLoss.rcnn_loss_mask: 0.2925 [06/20 14:16:53] Vis4D INFO: Epoch 8: 2400/9726, ETA: 1:11:38, 1.70it/s, loss: 0.6073, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1013, RCNNLoss.rcnn_loss_bbox: 0.1665, SampledMaskLoss.rcnn_loss_mask: 0.2955 [06/20 14:17:22] Vis4D INFO: Epoch 8: 2450/9726, ETA: 1:11:06, 1.71it/s, loss: 0.6514, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0315, RCNNLoss.rcnn_loss_cls: 0.1162, RCNNLoss.rcnn_loss_bbox: 0.1813, SampledMaskLoss.rcnn_loss_mask: 0.3085 [06/20 14:17:52] Vis4D INFO: Epoch 8: 2500/9726, ETA: 1:10:39, 1.70it/s, loss: 0.6806, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0352, RCNNLoss.rcnn_loss_cls: 0.1202, RCNNLoss.rcnn_loss_bbox: 0.1888, SampledMaskLoss.rcnn_loss_mask: 0.3212 [06/20 14:18:23] Vis4D INFO: Epoch 8: 2550/9726, ETA: 1:10:13, 1.70it/s, loss: 0.6272, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0231, RCNNLoss.rcnn_loss_cls: 0.1036, RCNNLoss.rcnn_loss_bbox: 0.1503, SampledMaskLoss.rcnn_loss_mask: 0.3393 [06/20 14:18:54] Vis4D INFO: Epoch 8: 2600/9726, ETA: 1:09:50, 1.70it/s, loss: 0.6495, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1124, RCNNLoss.rcnn_loss_bbox: 0.1632, SampledMaskLoss.rcnn_loss_mask: 0.3312 [06/20 14:19:27] Vis4D INFO: Epoch 8: 2650/9726, ETA: 1:09:28, 1.70it/s, loss: 0.6340, RPNLoss.loss_cls: 0.0154, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.1162, RCNNLoss.rcnn_loss_bbox: 0.1696, SampledMaskLoss.rcnn_loss_mask: 0.3081 [06/20 14:19:58] Vis4D INFO: Epoch 8: 2700/9726, ETA: 1:09:05, 1.69it/s, loss: 0.6081, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1010, RCNNLoss.rcnn_loss_bbox: 0.1587, SampledMaskLoss.rcnn_loss_mask: 0.3079 [06/20 14:20:26] Vis4D INFO: Epoch 8: 2750/9726, ETA: 1:08:31, 1.70it/s, loss: 0.6882, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0341, RCNNLoss.rcnn_loss_cls: 0.1181, RCNNLoss.rcnn_loss_bbox: 0.1819, SampledMaskLoss.rcnn_loss_mask: 0.3391 [06/20 14:20:55] Vis4D INFO: Epoch 8: 2800/9726, ETA: 1:08:00, 1.70it/s, loss: 0.6270, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1039, RCNNLoss.rcnn_loss_bbox: 0.1643, SampledMaskLoss.rcnn_loss_mask: 0.3130 [06/20 14:21:24] Vis4D INFO: Epoch 8: 2850/9726, ETA: 1:07:30, 1.70it/s, loss: 0.6676, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1132, RCNNLoss.rcnn_loss_bbox: 0.1813, SampledMaskLoss.rcnn_loss_mask: 0.3282 [06/20 14:21:52] Vis4D INFO: Epoch 8: 2900/9726, ETA: 1:06:56, 1.70it/s, loss: 0.6154, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0295, RCNNLoss.rcnn_loss_cls: 0.1046, RCNNLoss.rcnn_loss_bbox: 0.1682, SampledMaskLoss.rcnn_loss_mask: 0.2998 [06/20 14:22:20] Vis4D INFO: Epoch 8: 2950/9726, ETA: 1:06:23, 1.70it/s, loss: 0.6285, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0339, RCNNLoss.rcnn_loss_cls: 0.1159, RCNNLoss.rcnn_loss_bbox: 0.1799, SampledMaskLoss.rcnn_loss_mask: 0.2874 [06/20 14:22:47] Vis4D INFO: Epoch 8: 3000/9726, ETA: 1:05:50, 1.70it/s, loss: 0.6345, RPNLoss.loss_cls: 0.0121, RPNLoss.loss_bbox: 0.0335, RCNNLoss.rcnn_loss_cls: 0.1207, RCNNLoss.rcnn_loss_bbox: 0.1892, SampledMaskLoss.rcnn_loss_mask: 0.2790 [06/20 14:23:16] Vis4D INFO: Epoch 8: 3050/9726, ETA: 1:05:20, 1.70it/s, loss: 0.6378, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0338, RCNNLoss.rcnn_loss_cls: 0.1182, RCNNLoss.rcnn_loss_bbox: 0.1928, SampledMaskLoss.rcnn_loss_mask: 0.2817 [06/20 14:23:47] Vis4D INFO: Epoch 8: 3100/9726, ETA: 1:04:53, 1.70it/s, loss: 0.5900, RPNLoss.loss_cls: 0.0123, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1017, RCNNLoss.rcnn_loss_bbox: 0.1643, SampledMaskLoss.rcnn_loss_mask: 0.2818 [06/20 14:24:17] Vis4D INFO: Epoch 8: 3150/9726, ETA: 1:04:26, 1.70it/s, loss: 0.6873, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1191, RCNNLoss.rcnn_loss_bbox: 0.1851, SampledMaskLoss.rcnn_loss_mask: 0.3366 [06/20 14:24:48] Vis4D INFO: Epoch 8: 3200/9726, ETA: 1:03:59, 1.70it/s, loss: 0.5981, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1073, RCNNLoss.rcnn_loss_bbox: 0.1636, SampledMaskLoss.rcnn_loss_mask: 0.2882 [06/20 14:25:17] Vis4D INFO: Epoch 8: 3250/9726, ETA: 1:03:29, 1.70it/s, loss: 0.5720, RPNLoss.loss_cls: 0.0102, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.0944, RCNNLoss.rcnn_loss_bbox: 0.1450, SampledMaskLoss.rcnn_loss_mask: 0.2978 [06/20 14:25:45] Vis4D INFO: Epoch 8: 3300/9726, ETA: 1:02:57, 1.70it/s, loss: 0.6284, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1072, RCNNLoss.rcnn_loss_bbox: 0.1671, SampledMaskLoss.rcnn_loss_mask: 0.3115 [06/20 14:26:13] Vis4D INFO: Epoch 8: 3350/9726, ETA: 1:02:25, 1.70it/s, loss: 0.6259, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0337, RCNNLoss.rcnn_loss_cls: 0.1132, RCNNLoss.rcnn_loss_bbox: 0.1777, SampledMaskLoss.rcnn_loss_mask: 0.2865 [06/20 14:26:40] Vis4D INFO: Epoch 8: 3400/9726, ETA: 1:01:52, 1.70it/s, loss: 0.6267, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0988, RCNNLoss.rcnn_loss_bbox: 0.1584, SampledMaskLoss.rcnn_loss_mask: 0.3339 [06/20 14:27:08] Vis4D INFO: Epoch 8: 3450/9726, ETA: 1:01:20, 1.71it/s, loss: 0.6518, RPNLoss.loss_cls: 0.0123, RPNLoss.loss_bbox: 0.0324, RCNNLoss.rcnn_loss_cls: 0.1206, RCNNLoss.rcnn_loss_bbox: 0.1936, SampledMaskLoss.rcnn_loss_mask: 0.2930 [06/20 14:27:36] Vis4D INFO: Epoch 8: 3500/9726, ETA: 1:00:48, 1.71it/s, loss: 0.6543, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1171, RCNNLoss.rcnn_loss_bbox: 0.1839, SampledMaskLoss.rcnn_loss_mask: 0.3052 [06/20 14:28:05] Vis4D INFO: Epoch 8: 3550/9726, ETA: 1:00:18, 1.71it/s, loss: 0.6205, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.1019, RCNNLoss.rcnn_loss_bbox: 0.1609, SampledMaskLoss.rcnn_loss_mask: 0.3204 [06/20 14:28:33] Vis4D INFO: Epoch 8: 3600/9726, ETA: 0:59:47, 1.71it/s, loss: 0.6437, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1083, RCNNLoss.rcnn_loss_bbox: 0.1606, SampledMaskLoss.rcnn_loss_mask: 0.3261 [06/20 14:29:02] Vis4D INFO: Epoch 8: 3650/9726, ETA: 0:59:16, 1.71it/s, loss: 0.5469, RPNLoss.loss_cls: 0.0101, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0872, RCNNLoss.rcnn_loss_bbox: 0.1409, SampledMaskLoss.rcnn_loss_mask: 0.2859 [06/20 14:29:34] Vis4D INFO: Epoch 8: 3700/9726, ETA: 0:58:52, 1.71it/s, loss: 0.6359, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0330, RCNNLoss.rcnn_loss_cls: 0.1085, RCNNLoss.rcnn_loss_bbox: 0.1738, SampledMaskLoss.rcnn_loss_mask: 0.3050 [06/20 14:30:05] Vis4D INFO: Epoch 8: 3750/9726, ETA: 0:58:26, 1.70it/s, loss: 0.5779, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.0957, RCNNLoss.rcnn_loss_bbox: 0.1522, SampledMaskLoss.rcnn_loss_mask: 0.2931 [06/20 14:30:37] Vis4D INFO: Epoch 8: 3800/9726, ETA: 0:58:00, 1.70it/s, loss: 0.6171, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.1010, RCNNLoss.rcnn_loss_bbox: 0.1445, SampledMaskLoss.rcnn_loss_mask: 0.3313 [06/20 14:31:09] Vis4D INFO: Epoch 8: 3850/9726, ETA: 0:57:35, 1.70it/s, loss: 0.6674, RPNLoss.loss_cls: 0.0184, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1136, RCNNLoss.rcnn_loss_bbox: 0.1689, SampledMaskLoss.rcnn_loss_mask: 0.3358 [06/20 14:31:40] Vis4D INFO: Epoch 8: 3900/9726, ETA: 0:57:07, 1.70it/s, loss: 0.5993, RPNLoss.loss_cls: 0.0186, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1048, RCNNLoss.rcnn_loss_bbox: 0.1490, SampledMaskLoss.rcnn_loss_mask: 0.2992 [06/20 14:32:11] Vis4D INFO: Epoch 8: 3950/9726, ETA: 0:56:40, 1.70it/s, loss: 0.6168, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.1018, RCNNLoss.rcnn_loss_bbox: 0.1514, SampledMaskLoss.rcnn_loss_mask: 0.3239 [06/20 14:32:41] Vis4D INFO: Epoch 8: 4000/9726, ETA: 0:56:12, 1.70it/s, loss: 0.5878, RPNLoss.loss_cls: 0.0171, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1055, RCNNLoss.rcnn_loss_bbox: 0.1618, SampledMaskLoss.rcnn_loss_mask: 0.2724 [06/20 14:33:14] Vis4D INFO: Epoch 8: 4050/9726, ETA: 0:55:48, 1.70it/s, loss: 0.6045, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0330, RCNNLoss.rcnn_loss_cls: 0.0983, RCNNLoss.rcnn_loss_bbox: 0.1685, SampledMaskLoss.rcnn_loss_mask: 0.2911 [06/20 14:33:45] Vis4D INFO: Epoch 8: 4100/9726, ETA: 0:55:19, 1.69it/s, loss: 0.6034, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.1099, RCNNLoss.rcnn_loss_bbox: 0.1758, SampledMaskLoss.rcnn_loss_mask: 0.2755 [06/20 14:34:13] Vis4D INFO: Epoch 8: 4150/9726, ETA: 0:54:49, 1.70it/s, loss: 0.6481, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0325, RCNNLoss.rcnn_loss_cls: 0.1116, RCNNLoss.rcnn_loss_bbox: 0.1711, SampledMaskLoss.rcnn_loss_mask: 0.3164 [06/20 14:34:41] Vis4D INFO: Epoch 8: 4200/9726, ETA: 0:54:17, 1.70it/s, loss: 0.7213, RPNLoss.loss_cls: 0.0193, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1266, RCNNLoss.rcnn_loss_bbox: 0.1806, SampledMaskLoss.rcnn_loss_mask: 0.3615 [06/20 14:35:10] Vis4D INFO: Epoch 8: 4250/9726, ETA: 0:53:47, 1.70it/s, loss: 0.5924, RPNLoss.loss_cls: 0.0166, RPNLoss.loss_bbox: 0.0297, RCNNLoss.rcnn_loss_cls: 0.1092, RCNNLoss.rcnn_loss_bbox: 0.1627, SampledMaskLoss.rcnn_loss_mask: 0.2742 [06/20 14:35:39] Vis4D INFO: Epoch 8: 4300/9726, ETA: 0:53:17, 1.70it/s, loss: 0.6503, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.1127, RCNNLoss.rcnn_loss_bbox: 0.1607, SampledMaskLoss.rcnn_loss_mask: 0.3344 [06/20 14:36:08] Vis4D INFO: Epoch 8: 4350/9726, ETA: 0:52:46, 1.70it/s, loss: 0.6674, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0354, RCNNLoss.rcnn_loss_cls: 0.1165, RCNNLoss.rcnn_loss_bbox: 0.1873, SampledMaskLoss.rcnn_loss_mask: 0.3129 [06/20 14:36:36] Vis4D INFO: Epoch 8: 4400/9726, ETA: 0:52:16, 1.70it/s, loss: 0.6838, RPNLoss.loss_cls: 0.0142, RPNLoss.loss_bbox: 0.0345, RCNNLoss.rcnn_loss_cls: 0.1193, RCNNLoss.rcnn_loss_bbox: 0.1859, SampledMaskLoss.rcnn_loss_mask: 0.3299 [06/20 14:37:05] Vis4D INFO: Epoch 8: 4450/9726, ETA: 0:51:46, 1.70it/s, loss: 0.6876, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0287, RCNNLoss.rcnn_loss_cls: 0.1162, RCNNLoss.rcnn_loss_bbox: 0.1708, SampledMaskLoss.rcnn_loss_mask: 0.3569 [06/20 14:37:35] Vis4D INFO: Epoch 8: 4500/9726, ETA: 0:51:17, 1.70it/s, loss: 0.5603, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0998, RCNNLoss.rcnn_loss_bbox: 0.1516, SampledMaskLoss.rcnn_loss_mask: 0.2727 [06/20 14:38:04] Vis4D INFO: Epoch 8: 4550/9726, ETA: 0:50:47, 1.70it/s, loss: 0.5875, RPNLoss.loss_cls: 0.0144, RPNLoss.loss_bbox: 0.0261, RCNNLoss.rcnn_loss_cls: 0.1086, RCNNLoss.rcnn_loss_bbox: 0.1599, SampledMaskLoss.rcnn_loss_mask: 0.2785 [06/20 14:38:32] Vis4D INFO: Epoch 8: 4600/9726, ETA: 0:50:16, 1.70it/s, loss: 0.6234, RPNLoss.loss_cls: 0.0138, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.1052, RCNNLoss.rcnn_loss_bbox: 0.1593, SampledMaskLoss.rcnn_loss_mask: 0.3182 [06/20 14:39:03] Vis4D INFO: Epoch 8: 4650/9726, ETA: 0:49:48, 1.70it/s, loss: 0.5863, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.0999, RCNNLoss.rcnn_loss_bbox: 0.1511, SampledMaskLoss.rcnn_loss_mask: 0.2971 [06/20 14:39:32] Vis4D INFO: Epoch 8: 4700/9726, ETA: 0:49:18, 1.70it/s, loss: 0.6114, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1126, RCNNLoss.rcnn_loss_bbox: 0.1781, SampledMaskLoss.rcnn_loss_mask: 0.2780 [06/20 14:40:00] Vis4D INFO: Epoch 8: 4750/9726, ETA: 0:48:47, 1.70it/s, loss: 0.6226, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.0994, RCNNLoss.rcnn_loss_bbox: 0.1675, SampledMaskLoss.rcnn_loss_mask: 0.3156 [06/20 14:40:30] Vis4D INFO: Epoch 8: 4800/9726, ETA: 0:48:18, 1.70it/s, loss: 0.6765, RPNLoss.loss_cls: 0.0206, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1096, RCNNLoss.rcnn_loss_bbox: 0.1779, SampledMaskLoss.rcnn_loss_mask: 0.3359 [06/20 14:41:00] Vis4D INFO: Epoch 8: 4850/9726, ETA: 0:47:49, 1.70it/s, loss: 0.6095, RPNLoss.loss_cls: 0.0117, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.0943, RCNNLoss.rcnn_loss_bbox: 0.1537, SampledMaskLoss.rcnn_loss_mask: 0.3234 [06/20 14:41:31] Vis4D INFO: Epoch 8: 4900/9726, ETA: 0:47:22, 1.70it/s, loss: 0.6800, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0354, RCNNLoss.rcnn_loss_cls: 0.1138, RCNNLoss.rcnn_loss_bbox: 0.1877, SampledMaskLoss.rcnn_loss_mask: 0.3278 [06/20 14:42:02] Vis4D INFO: Epoch 8: 4950/9726, ETA: 0:46:54, 1.70it/s, loss: 0.7162, RPNLoss.loss_cls: 0.0150, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1167, RCNNLoss.rcnn_loss_bbox: 0.1746, SampledMaskLoss.rcnn_loss_mask: 0.3783 [06/20 14:42:33] Vis4D INFO: Epoch 8: 5000/9726, ETA: 0:46:26, 1.70it/s, loss: 0.6256, RPNLoss.loss_cls: 0.0209, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1099, RCNNLoss.rcnn_loss_bbox: 0.1722, SampledMaskLoss.rcnn_loss_mask: 0.2903 [06/20 14:43:04] Vis4D INFO: Epoch 8: 5050/9726, ETA: 0:45:57, 1.70it/s, loss: 0.5981, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0260, RCNNLoss.rcnn_loss_cls: 0.0953, RCNNLoss.rcnn_loss_bbox: 0.1532, SampledMaskLoss.rcnn_loss_mask: 0.3101 [06/20 14:43:32] Vis4D INFO: Epoch 8: 5100/9726, ETA: 0:45:27, 1.70it/s, loss: 0.6049, RPNLoss.loss_cls: 0.0159, RPNLoss.loss_bbox: 0.0320, RCNNLoss.rcnn_loss_cls: 0.1116, RCNNLoss.rcnn_loss_bbox: 0.1664, SampledMaskLoss.rcnn_loss_mask: 0.2789 [06/20 14:44:04] Vis4D INFO: Epoch 8: 5150/9726, ETA: 0:44:59, 1.69it/s, loss: 0.6066, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1062, RCNNLoss.rcnn_loss_bbox: 0.1608, SampledMaskLoss.rcnn_loss_mask: 0.2942 [06/20 14:44:34] Vis4D INFO: Epoch 8: 5200/9726, ETA: 0:44:30, 1.69it/s, loss: 0.6146, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0296, RCNNLoss.rcnn_loss_cls: 0.1018, RCNNLoss.rcnn_loss_bbox: 0.1613, SampledMaskLoss.rcnn_loss_mask: 0.3074 [06/20 14:45:04] Vis4D INFO: Epoch 8: 5250/9726, ETA: 0:44:01, 1.69it/s, loss: 0.6101, RPNLoss.loss_cls: 0.0172, RPNLoss.loss_bbox: 0.0242, RCNNLoss.rcnn_loss_cls: 0.0936, RCNNLoss.rcnn_loss_bbox: 0.1429, SampledMaskLoss.rcnn_loss_mask: 0.3323 [06/20 14:45:33] Vis4D INFO: Epoch 8: 5300/9726, ETA: 0:43:32, 1.69it/s, loss: 0.6835, RPNLoss.loss_cls: 0.0163, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1220, RCNNLoss.rcnn_loss_bbox: 0.1790, SampledMaskLoss.rcnn_loss_mask: 0.3355 [06/20 14:46:01] Vis4D INFO: Epoch 8: 5350/9726, ETA: 0:43:01, 1.70it/s, loss: 0.6455, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1047, RCNNLoss.rcnn_loss_bbox: 0.1663, SampledMaskLoss.rcnn_loss_mask: 0.3306 [06/20 14:46:30] Vis4D INFO: Epoch 8: 5400/9726, ETA: 0:42:31, 1.70it/s, loss: 0.6353, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.1024, RCNNLoss.rcnn_loss_bbox: 0.1686, SampledMaskLoss.rcnn_loss_mask: 0.3206 [06/20 14:46:59] Vis4D INFO: Epoch 8: 5450/9726, ETA: 0:42:01, 1.70it/s, loss: 0.6334, RPNLoss.loss_cls: 0.0207, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1032, RCNNLoss.rcnn_loss_bbox: 0.1563, SampledMaskLoss.rcnn_loss_mask: 0.3249 [06/20 14:47:27] Vis4D INFO: Epoch 8: 5500/9726, ETA: 0:41:31, 1.70it/s, loss: 0.6105, RPNLoss.loss_cls: 0.0121, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.0969, RCNNLoss.rcnn_loss_bbox: 0.1602, SampledMaskLoss.rcnn_loss_mask: 0.3127 [06/20 14:47:57] Vis4D INFO: Epoch 8: 5550/9726, ETA: 0:41:01, 1.70it/s, loss: 0.6533, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0272, RCNNLoss.rcnn_loss_cls: 0.1150, RCNNLoss.rcnn_loss_bbox: 0.1604, SampledMaskLoss.rcnn_loss_mask: 0.3357 [06/20 14:48:24] Vis4D INFO: Epoch 8: 5600/9726, ETA: 0:40:30, 1.70it/s, loss: 0.5708, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.0976, RCNNLoss.rcnn_loss_bbox: 0.1592, SampledMaskLoss.rcnn_loss_mask: 0.2722 [06/20 14:48:53] Vis4D INFO: Epoch 8: 5650/9726, ETA: 0:40:00, 1.70it/s, loss: 0.6754, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.1034, RCNNLoss.rcnn_loss_bbox: 0.1571, SampledMaskLoss.rcnn_loss_mask: 0.3742 [06/20 14:49:22] Vis4D INFO: Epoch 8: 5700/9726, ETA: 0:39:30, 1.70it/s, loss: 0.6268, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0261, RCNNLoss.rcnn_loss_cls: 0.1103, RCNNLoss.rcnn_loss_bbox: 0.1731, SampledMaskLoss.rcnn_loss_mask: 0.3040 [06/20 14:49:50] Vis4D INFO: Epoch 8: 5750/9726, ETA: 0:39:00, 1.70it/s, loss: 0.6369, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.1045, RCNNLoss.rcnn_loss_bbox: 0.1645, SampledMaskLoss.rcnn_loss_mask: 0.3263 [06/20 14:50:19] Vis4D INFO: Epoch 8: 5800/9726, ETA: 0:38:30, 1.70it/s, loss: 0.6585, RPNLoss.loss_cls: 0.0147, RPNLoss.loss_bbox: 0.0283, RCNNLoss.rcnn_loss_cls: 0.1158, RCNNLoss.rcnn_loss_bbox: 0.1717, SampledMaskLoss.rcnn_loss_mask: 0.3281 [06/20 14:50:46] Vis4D INFO: Epoch 8: 5850/9726, ETA: 0:37:59, 1.70it/s, loss: 0.6234, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0936, RCNNLoss.rcnn_loss_bbox: 0.1430, SampledMaskLoss.rcnn_loss_mask: 0.3485 [06/20 14:51:16] Vis4D INFO: Epoch 8: 5900/9726, ETA: 0:37:30, 1.70it/s, loss: 0.6566, RPNLoss.loss_cls: 0.0199, RPNLoss.loss_bbox: 0.0283, RCNNLoss.rcnn_loss_cls: 0.1049, RCNNLoss.rcnn_loss_bbox: 0.1695, SampledMaskLoss.rcnn_loss_mask: 0.3340 [06/20 14:51:47] Vis4D INFO: Epoch 8: 5950/9726, ETA: 0:37:02, 1.70it/s, loss: 0.6097, RPNLoss.loss_cls: 0.0123, RPNLoss.loss_bbox: 0.0289, RCNNLoss.rcnn_loss_cls: 0.1087, RCNNLoss.rcnn_loss_bbox: 0.1770, SampledMaskLoss.rcnn_loss_mask: 0.2828 [06/20 14:52:17] Vis4D INFO: Epoch 8: 6000/9726, ETA: 0:36:33, 1.70it/s, loss: 0.6346, RPNLoss.loss_cls: 0.0134, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1114, RCNNLoss.rcnn_loss_bbox: 0.1771, SampledMaskLoss.rcnn_loss_mask: 0.3005 [06/20 14:52:49] Vis4D INFO: Epoch 8: 6050/9726, ETA: 0:36:05, 1.70it/s, loss: 0.6048, RPNLoss.loss_cls: 0.0100, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.1100, RCNNLoss.rcnn_loss_bbox: 0.1696, SampledMaskLoss.rcnn_loss_mask: 0.2884 [06/20 14:53:18] Vis4D INFO: Epoch 8: 6100/9726, ETA: 0:35:35, 1.70it/s, loss: 0.6445, RPNLoss.loss_cls: 0.0125, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1107, RCNNLoss.rcnn_loss_bbox: 0.1775, SampledMaskLoss.rcnn_loss_mask: 0.3117 [06/20 14:53:48] Vis4D INFO: Epoch 8: 6150/9726, ETA: 0:35:06, 1.70it/s, loss: 0.5925, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1081, RCNNLoss.rcnn_loss_bbox: 0.1668, SampledMaskLoss.rcnn_loss_mask: 0.2761 [06/20 14:54:16] Vis4D INFO: Epoch 8: 6200/9726, ETA: 0:34:36, 1.70it/s, loss: 0.6461, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1287, RCNNLoss.rcnn_loss_bbox: 0.1922, SampledMaskLoss.rcnn_loss_mask: 0.2779 [06/20 14:54:43] Vis4D INFO: Epoch 8: 6250/9726, ETA: 0:34:05, 1.70it/s, loss: 0.5774, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.1024, RCNNLoss.rcnn_loss_bbox: 0.1604, SampledMaskLoss.rcnn_loss_mask: 0.2736 [06/20 14:55:12] Vis4D INFO: Epoch 8: 6300/9726, ETA: 0:33:36, 1.70it/s, loss: 0.5727, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.0906, RCNNLoss.rcnn_loss_bbox: 0.1445, SampledMaskLoss.rcnn_loss_mask: 0.2941 [06/20 14:55:41] Vis4D INFO: Epoch 8: 6350/9726, ETA: 0:33:05, 1.70it/s, loss: 0.6202, RPNLoss.loss_cls: 0.0165, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.1088, RCNNLoss.rcnn_loss_bbox: 0.1646, SampledMaskLoss.rcnn_loss_mask: 0.3000 [06/20 14:56:10] Vis4D INFO: Epoch 8: 6400/9726, ETA: 0:32:36, 1.70it/s, loss: 0.6530, RPNLoss.loss_cls: 0.0185, RPNLoss.loss_bbox: 0.0357, RCNNLoss.rcnn_loss_cls: 0.1250, RCNNLoss.rcnn_loss_bbox: 0.1876, SampledMaskLoss.rcnn_loss_mask: 0.2863 [06/20 14:56:39] Vis4D INFO: Epoch 8: 6450/9726, ETA: 0:32:06, 1.70it/s, loss: 0.6531, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0331, RCNNLoss.rcnn_loss_cls: 0.1070, RCNNLoss.rcnn_loss_bbox: 0.1706, SampledMaskLoss.rcnn_loss_mask: 0.3279 [06/20 14:57:08] Vis4D INFO: Epoch 8: 6500/9726, ETA: 0:31:37, 1.70it/s, loss: 0.6175, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0268, RCNNLoss.rcnn_loss_cls: 0.1058, RCNNLoss.rcnn_loss_bbox: 0.1619, SampledMaskLoss.rcnn_loss_mask: 0.3087 [06/20 14:57:36] Vis4D INFO: Epoch 8: 6550/9726, ETA: 0:31:07, 1.70it/s, loss: 0.6237, RPNLoss.loss_cls: 0.0155, RPNLoss.loss_bbox: 0.0303, RCNNLoss.rcnn_loss_cls: 0.0955, RCNNLoss.rcnn_loss_bbox: 0.1592, SampledMaskLoss.rcnn_loss_mask: 0.3231 [06/20 14:58:07] Vis4D INFO: Epoch 8: 6600/9726, ETA: 0:30:38, 1.70it/s, loss: 0.6611, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0306, RCNNLoss.rcnn_loss_cls: 0.0980, RCNNLoss.rcnn_loss_bbox: 0.1571, SampledMaskLoss.rcnn_loss_mask: 0.3635 [06/20 14:58:39] Vis4D INFO: Epoch 8: 6650/9726, ETA: 0:30:10, 1.70it/s, loss: 0.6236, RPNLoss.loss_cls: 0.0148, RPNLoss.loss_bbox: 0.0298, RCNNLoss.rcnn_loss_cls: 0.1168, RCNNLoss.rcnn_loss_bbox: 0.1759, SampledMaskLoss.rcnn_loss_mask: 0.2864 [06/20 14:59:10] Vis4D INFO: Epoch 8: 6700/9726, ETA: 0:29:41, 1.70it/s, loss: 0.6682, RPNLoss.loss_cls: 0.0198, RPNLoss.loss_bbox: 0.0338, RCNNLoss.rcnn_loss_cls: 0.1220, RCNNLoss.rcnn_loss_bbox: 0.1755, SampledMaskLoss.rcnn_loss_mask: 0.3171 [06/20 14:59:41] Vis4D INFO: Epoch 8: 6750/9726, ETA: 0:29:13, 1.70it/s, loss: 0.6475, RPNLoss.loss_cls: 0.0174, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1120, RCNNLoss.rcnn_loss_bbox: 0.1746, SampledMaskLoss.rcnn_loss_mask: 0.3114 [06/20 15:00:13] Vis4D INFO: Epoch 8: 6800/9726, ETA: 0:28:44, 1.70it/s, loss: 0.5707, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0247, RCNNLoss.rcnn_loss_cls: 0.0964, RCNNLoss.rcnn_loss_bbox: 0.1515, SampledMaskLoss.rcnn_loss_mask: 0.2874 [06/20 15:00:44] Vis4D INFO: Epoch 8: 6850/9726, ETA: 0:28:15, 1.70it/s, loss: 0.6001, RPNLoss.loss_cls: 0.0162, RPNLoss.loss_bbox: 0.0330, RCNNLoss.rcnn_loss_cls: 0.1050, RCNNLoss.rcnn_loss_bbox: 0.1710, SampledMaskLoss.rcnn_loss_mask: 0.2749 [06/20 15:01:11] Vis4D INFO: Epoch 8: 6900/9726, ETA: 0:27:45, 1.70it/s, loss: 0.5829, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0980, RCNNLoss.rcnn_loss_bbox: 0.1522, SampledMaskLoss.rcnn_loss_mask: 0.2969 [06/20 15:01:39] Vis4D INFO: Epoch 8: 6950/9726, ETA: 0:27:15, 1.70it/s, loss: 0.6114, RPNLoss.loss_cls: 0.0247, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1018, RCNNLoss.rcnn_loss_bbox: 0.1545, SampledMaskLoss.rcnn_loss_mask: 0.3024 [06/20 15:02:09] Vis4D INFO: Epoch 8: 7000/9726, ETA: 0:26:45, 1.70it/s, loss: 0.5769, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.0905, RCNNLoss.rcnn_loss_bbox: 0.1475, SampledMaskLoss.rcnn_loss_mask: 0.3015 [06/20 15:02:37] Vis4D INFO: Epoch 8: 7050/9726, ETA: 0:26:15, 1.70it/s, loss: 0.6047, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.0996, RCNNLoss.rcnn_loss_bbox: 0.1611, SampledMaskLoss.rcnn_loss_mask: 0.3031 [06/20 15:03:05] Vis4D INFO: Epoch 8: 7100/9726, ETA: 0:25:45, 1.70it/s, loss: 0.6159, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1073, RCNNLoss.rcnn_loss_bbox: 0.1710, SampledMaskLoss.rcnn_loss_mask: 0.2987 [06/20 15:03:33] Vis4D INFO: Epoch 8: 7150/9726, ETA: 0:25:15, 1.70it/s, loss: 0.6390, RPNLoss.loss_cls: 0.0188, RPNLoss.loss_bbox: 0.0337, RCNNLoss.rcnn_loss_cls: 0.1153, RCNNLoss.rcnn_loss_bbox: 0.1814, SampledMaskLoss.rcnn_loss_mask: 0.2898 [06/20 15:04:01] Vis4D INFO: Epoch 8: 7200/9726, ETA: 0:24:46, 1.70it/s, loss: 0.5990, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0321, RCNNLoss.rcnn_loss_cls: 0.1133, RCNNLoss.rcnn_loss_bbox: 0.1774, SampledMaskLoss.rcnn_loss_mask: 0.2636 [06/20 15:04:33] Vis4D INFO: Epoch 8: 7250/9726, ETA: 0:24:17, 1.70it/s, loss: 0.5671, RPNLoss.loss_cls: 0.0181, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.1018, RCNNLoss.rcnn_loss_bbox: 0.1587, SampledMaskLoss.rcnn_loss_mask: 0.2612 [06/20 15:05:05] Vis4D INFO: Epoch 8: 7300/9726, ETA: 0:23:48, 1.70it/s, loss: 0.6554, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1022, RCNNLoss.rcnn_loss_bbox: 0.1625, SampledMaskLoss.rcnn_loss_mask: 0.3447 [06/20 15:05:37] Vis4D INFO: Epoch 8: 7350/9726, ETA: 0:23:20, 1.70it/s, loss: 0.6222, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0326, RCNNLoss.rcnn_loss_cls: 0.1071, RCNNLoss.rcnn_loss_bbox: 0.1754, SampledMaskLoss.rcnn_loss_mask: 0.2947 [06/20 15:06:07] Vis4D INFO: Epoch 8: 7400/9726, ETA: 0:22:51, 1.70it/s, loss: 0.6098, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0315, RCNNLoss.rcnn_loss_cls: 0.1076, RCNNLoss.rcnn_loss_bbox: 0.1717, SampledMaskLoss.rcnn_loss_mask: 0.2850 [06/20 15:06:38] Vis4D INFO: Epoch 8: 7450/9726, ETA: 0:22:21, 1.70it/s, loss: 0.6484, RPNLoss.loss_cls: 0.0207, RPNLoss.loss_bbox: 0.0301, RCNNLoss.rcnn_loss_cls: 0.1071, RCNNLoss.rcnn_loss_bbox: 0.1745, SampledMaskLoss.rcnn_loss_mask: 0.3161 [06/20 15:07:09] Vis4D INFO: Epoch 8: 7500/9726, ETA: 0:21:52, 1.70it/s, loss: 0.5986, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.1064, RCNNLoss.rcnn_loss_bbox: 0.1593, SampledMaskLoss.rcnn_loss_mask: 0.2913 [06/20 15:07:39] Vis4D INFO: Epoch 8: 7550/9726, ETA: 0:21:23, 1.70it/s, loss: 0.5632, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0299, RCNNLoss.rcnn_loss_cls: 0.1060, RCNNLoss.rcnn_loss_bbox: 0.1689, SampledMaskLoss.rcnn_loss_mask: 0.2440 [06/20 15:08:11] Vis4D INFO: Epoch 8: 7600/9726, ETA: 0:20:54, 1.69it/s, loss: 0.6587, RPNLoss.loss_cls: 0.0199, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1146, RCNNLoss.rcnn_loss_bbox: 0.1731, SampledMaskLoss.rcnn_loss_mask: 0.3226 [06/20 15:08:42] Vis4D INFO: Epoch 8: 7650/9726, ETA: 0:20:25, 1.69it/s, loss: 0.6037, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.0993, RCNNLoss.rcnn_loss_bbox: 0.1645, SampledMaskLoss.rcnn_loss_mask: 0.2988 [06/20 15:09:11] Vis4D INFO: Epoch 8: 7700/9726, ETA: 0:19:56, 1.69it/s, loss: 0.6173, RPNLoss.loss_cls: 0.0163, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1126, RCNNLoss.rcnn_loss_bbox: 0.1726, SampledMaskLoss.rcnn_loss_mask: 0.2847 [06/20 15:09:41] Vis4D INFO: Epoch 8: 7750/9726, ETA: 0:19:26, 1.69it/s, loss: 0.6257, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0314, RCNNLoss.rcnn_loss_cls: 0.1109, RCNNLoss.rcnn_loss_bbox: 0.1725, SampledMaskLoss.rcnn_loss_mask: 0.2982 [06/20 15:10:10] Vis4D INFO: Epoch 8: 7800/9726, ETA: 0:18:57, 1.69it/s, loss: 0.6337, RPNLoss.loss_cls: 0.0156, RPNLoss.loss_bbox: 0.0300, RCNNLoss.rcnn_loss_cls: 0.1137, RCNNLoss.rcnn_loss_bbox: 0.1795, SampledMaskLoss.rcnn_loss_mask: 0.2949 [06/20 15:10:40] Vis4D INFO: Epoch 8: 7850/9726, ETA: 0:18:27, 1.69it/s, loss: 0.6553, RPNLoss.loss_cls: 0.0167, RPNLoss.loss_bbox: 0.0343, RCNNLoss.rcnn_loss_cls: 0.1257, RCNNLoss.rcnn_loss_bbox: 0.1847, SampledMaskLoss.rcnn_loss_mask: 0.2939 [06/20 15:11:08] Vis4D INFO: Epoch 8: 7900/9726, ETA: 0:17:57, 1.69it/s, loss: 0.6340, RPNLoss.loss_cls: 0.0152, RPNLoss.loss_bbox: 0.0337, RCNNLoss.rcnn_loss_cls: 0.1131, RCNNLoss.rcnn_loss_bbox: 0.1797, SampledMaskLoss.rcnn_loss_mask: 0.2922 [06/20 15:11:37] Vis4D INFO: Epoch 8: 7950/9726, ETA: 0:17:28, 1.69it/s, loss: 0.6960, RPNLoss.loss_cls: 0.0171, RPNLoss.loss_bbox: 0.0317, RCNNLoss.rcnn_loss_cls: 0.1127, RCNNLoss.rcnn_loss_bbox: 0.1722, SampledMaskLoss.rcnn_loss_mask: 0.3623 [06/20 15:12:05] Vis4D INFO: Epoch 8: 8000/9726, ETA: 0:16:58, 1.69it/s, loss: 0.6326, RPNLoss.loss_cls: 0.0121, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.1110, RCNNLoss.rcnn_loss_bbox: 0.1732, SampledMaskLoss.rcnn_loss_mask: 0.3101 [06/20 15:12:36] Vis4D INFO: Epoch 8: 8050/9726, ETA: 0:16:29, 1.69it/s, loss: 0.6493, RPNLoss.loss_cls: 0.0146, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.1010, RCNNLoss.rcnn_loss_bbox: 0.1648, SampledMaskLoss.rcnn_loss_mask: 0.3396 [06/20 15:13:05] Vis4D INFO: Epoch 8: 8100/9726, ETA: 0:15:59, 1.69it/s, loss: 0.6645, RPNLoss.loss_cls: 0.0159, RPNLoss.loss_bbox: 0.0304, RCNNLoss.rcnn_loss_cls: 0.1157, RCNNLoss.rcnn_loss_bbox: 0.1791, SampledMaskLoss.rcnn_loss_mask: 0.3234 [06/20 15:13:35] Vis4D INFO: Epoch 8: 8150/9726, ETA: 0:15:30, 1.69it/s, loss: 0.6460, RPNLoss.loss_cls: 0.0170, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.1130, RCNNLoss.rcnn_loss_bbox: 0.1625, SampledMaskLoss.rcnn_loss_mask: 0.3255 [06/20 15:14:02] Vis4D INFO: Epoch 8: 8200/9726, ETA: 0:15:00, 1.70it/s, loss: 0.6545, RPNLoss.loss_cls: 0.0143, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1191, RCNNLoss.rcnn_loss_bbox: 0.1831, SampledMaskLoss.rcnn_loss_mask: 0.3089 [06/20 15:14:32] Vis4D INFO: Epoch 8: 8250/9726, ETA: 0:14:30, 1.70it/s, loss: 0.6082, RPNLoss.loss_cls: 0.0188, RPNLoss.loss_bbox: 0.0293, RCNNLoss.rcnn_loss_cls: 0.0995, RCNNLoss.rcnn_loss_bbox: 0.1616, SampledMaskLoss.rcnn_loss_mask: 0.2990 [06/20 15:15:03] Vis4D INFO: Epoch 8: 8300/9726, ETA: 0:14:01, 1.69it/s, loss: 0.6276, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0260, RCNNLoss.rcnn_loss_cls: 0.1078, RCNNLoss.rcnn_loss_bbox: 0.1540, SampledMaskLoss.rcnn_loss_mask: 0.3270 [06/20 15:15:35] Vis4D INFO: Epoch 8: 8350/9726, ETA: 0:13:32, 1.69it/s, loss: 0.5857, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.0914, RCNNLoss.rcnn_loss_bbox: 0.1462, SampledMaskLoss.rcnn_loss_mask: 0.3118 [06/20 15:16:05] Vis4D INFO: Epoch 8: 8400/9726, ETA: 0:13:02, 1.69it/s, loss: 0.6499, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0354, RCNNLoss.rcnn_loss_cls: 0.1166, RCNNLoss.rcnn_loss_bbox: 0.1792, SampledMaskLoss.rcnn_loss_mask: 0.3055 [06/20 15:16:34] Vis4D INFO: Epoch 8: 8450/9726, ETA: 0:12:33, 1.69it/s, loss: 0.6287, RPNLoss.loss_cls: 0.0185, RPNLoss.loss_bbox: 0.0302, RCNNLoss.rcnn_loss_cls: 0.1064, RCNNLoss.rcnn_loss_bbox: 0.1596, SampledMaskLoss.rcnn_loss_mask: 0.3140 [06/20 15:17:05] Vis4D INFO: Epoch 8: 8500/9726, ETA: 0:12:03, 1.69it/s, loss: 0.6371, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.1101, RCNNLoss.rcnn_loss_bbox: 0.1781, SampledMaskLoss.rcnn_loss_mask: 0.3064 [06/20 15:17:34] Vis4D INFO: Epoch 8: 8550/9726, ETA: 0:11:34, 1.69it/s, loss: 0.6304, RPNLoss.loss_cls: 0.0154, RPNLoss.loss_bbox: 0.0306, RCNNLoss.rcnn_loss_cls: 0.1166, RCNNLoss.rcnn_loss_bbox: 0.1700, SampledMaskLoss.rcnn_loss_mask: 0.2978 [06/20 15:18:02] Vis4D INFO: Epoch 8: 8600/9726, ETA: 0:11:04, 1.69it/s, loss: 0.6090, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1002, RCNNLoss.rcnn_loss_bbox: 0.1580, SampledMaskLoss.rcnn_loss_mask: 0.3111 [06/20 15:18:31] Vis4D INFO: Epoch 8: 8650/9726, ETA: 0:10:35, 1.69it/s, loss: 0.6202, RPNLoss.loss_cls: 0.0166, RPNLoss.loss_bbox: 0.0345, RCNNLoss.rcnn_loss_cls: 0.1148, RCNNLoss.rcnn_loss_bbox: 0.1786, SampledMaskLoss.rcnn_loss_mask: 0.2758 [06/20 15:19:00] Vis4D INFO: Epoch 8: 8700/9726, ETA: 0:10:05, 1.69it/s, loss: 0.5739, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.0999, RCNNLoss.rcnn_loss_bbox: 0.1559, SampledMaskLoss.rcnn_loss_mask: 0.2781 [06/20 15:19:29] Vis4D INFO: Epoch 8: 8750/9726, ETA: 0:09:36, 1.69it/s, loss: 0.6093, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0282, RCNNLoss.rcnn_loss_cls: 0.0965, RCNNLoss.rcnn_loss_bbox: 0.1610, SampledMaskLoss.rcnn_loss_mask: 0.3098 [06/20 15:19:57] Vis4D INFO: Epoch 8: 8800/9726, ETA: 0:09:06, 1.69it/s, loss: 0.6609, RPNLoss.loss_cls: 0.0145, RPNLoss.loss_bbox: 0.0292, RCNNLoss.rcnn_loss_cls: 0.1182, RCNNLoss.rcnn_loss_bbox: 0.1746, SampledMaskLoss.rcnn_loss_mask: 0.3245 [06/20 15:20:24] Vis4D INFO: Epoch 8: 8850/9726, ETA: 0:08:36, 1.70it/s, loss: 0.6934, RPNLoss.loss_cls: 0.0204, RPNLoss.loss_bbox: 0.0327, RCNNLoss.rcnn_loss_cls: 0.1093, RCNNLoss.rcnn_loss_bbox: 0.1696, SampledMaskLoss.rcnn_loss_mask: 0.3614 [06/20 15:20:51] Vis4D INFO: Epoch 8: 8900/9726, ETA: 0:08:06, 1.70it/s, loss: 0.5829, RPNLoss.loss_cls: 0.0153, RPNLoss.loss_bbox: 0.0272, RCNNLoss.rcnn_loss_cls: 0.0883, RCNNLoss.rcnn_loss_bbox: 0.1399, SampledMaskLoss.rcnn_loss_mask: 0.3121 [06/20 15:21:20] Vis4D INFO: Epoch 8: 8950/9726, ETA: 0:07:37, 1.70it/s, loss: 0.6828, RPNLoss.loss_cls: 0.0201, RPNLoss.loss_bbox: 0.0367, RCNNLoss.rcnn_loss_cls: 0.1190, RCNNLoss.rcnn_loss_bbox: 0.1829, SampledMaskLoss.rcnn_loss_mask: 0.3241 [06/20 15:21:48] Vis4D INFO: Epoch 8: 9000/9726, ETA: 0:07:07, 1.70it/s, loss: 0.6339, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.0947, RCNNLoss.rcnn_loss_bbox: 0.1553, SampledMaskLoss.rcnn_loss_mask: 0.3446 [06/20 15:22:17] Vis4D INFO: Epoch 8: 9050/9726, ETA: 0:06:38, 1.70it/s, loss: 0.6214, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1150, RCNNLoss.rcnn_loss_bbox: 0.1763, SampledMaskLoss.rcnn_loss_mask: 0.2916 [06/20 15:22:43] Vis4D INFO: Epoch 8: 9100/9726, ETA: 0:06:08, 1.70it/s, loss: 0.6342, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0306, RCNNLoss.rcnn_loss_cls: 0.1042, RCNNLoss.rcnn_loss_bbox: 0.1575, SampledMaskLoss.rcnn_loss_mask: 0.3282 [06/20 15:23:12] Vis4D INFO: Epoch 8: 9150/9726, ETA: 0:05:39, 1.70it/s, loss: 0.6490, RPNLoss.loss_cls: 0.0117, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1163, RCNNLoss.rcnn_loss_bbox: 0.1711, SampledMaskLoss.rcnn_loss_mask: 0.3223 [06/20 15:23:44] Vis4D INFO: Epoch 8: 9200/9726, ETA: 0:05:09, 1.70it/s, loss: 0.5983, RPNLoss.loss_cls: 0.0128, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.1056, RCNNLoss.rcnn_loss_bbox: 0.1614, SampledMaskLoss.rcnn_loss_mask: 0.2863 [06/20 15:24:15] Vis4D INFO: Epoch 8: 9250/9726, ETA: 0:04:40, 1.70it/s, loss: 0.5776, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0247, RCNNLoss.rcnn_loss_cls: 0.0870, RCNNLoss.rcnn_loss_bbox: 0.1500, SampledMaskLoss.rcnn_loss_mask: 0.3028 [06/20 15:24:45] Vis4D INFO: Epoch 8: 9300/9726, ETA: 0:04:11, 1.70it/s, loss: 0.6251, RPNLoss.loss_cls: 0.0176, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.1270, RCNNLoss.rcnn_loss_bbox: 0.1842, SampledMaskLoss.rcnn_loss_mask: 0.2655 [06/20 15:25:16] Vis4D INFO: Epoch 8: 9350/9726, ETA: 0:03:41, 1.70it/s, loss: 0.6318, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0311, RCNNLoss.rcnn_loss_cls: 0.1018, RCNNLoss.rcnn_loss_bbox: 0.1634, SampledMaskLoss.rcnn_loss_mask: 0.3247 [06/20 15:25:47] Vis4D INFO: Epoch 8: 9400/9726, ETA: 0:03:12, 1.70it/s, loss: 0.6829, RPNLoss.loss_cls: 0.0131, RPNLoss.loss_bbox: 0.0332, RCNNLoss.rcnn_loss_cls: 0.1216, RCNNLoss.rcnn_loss_bbox: 0.1914, SampledMaskLoss.rcnn_loss_mask: 0.3237 [06/20 15:26:18] Vis4D INFO: Epoch 8: 9450/9726, ETA: 0:02:42, 1.70it/s, loss: 0.6067, RPNLoss.loss_cls: 0.0140, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.1094, RCNNLoss.rcnn_loss_bbox: 0.1724, SampledMaskLoss.rcnn_loss_mask: 0.2819 [06/20 15:26:47] Vis4D INFO: Epoch 8: 9500/9726, ETA: 0:02:13, 1.70it/s, loss: 0.5973, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0252, RCNNLoss.rcnn_loss_cls: 0.0897, RCNNLoss.rcnn_loss_bbox: 0.1445, SampledMaskLoss.rcnn_loss_mask: 0.3260 [06/20 15:27:16] Vis4D INFO: Epoch 8: 9550/9726, ETA: 0:01:43, 1.70it/s, loss: 0.6418, RPNLoss.loss_cls: 0.0166, RPNLoss.loss_bbox: 0.0280, RCNNLoss.rcnn_loss_cls: 0.1024, RCNNLoss.rcnn_loss_bbox: 0.1652, SampledMaskLoss.rcnn_loss_mask: 0.3296 [06/20 15:27:46] Vis4D INFO: Epoch 8: 9600/9726, ETA: 0:01:14, 1.70it/s, loss: 0.6230, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0316, RCNNLoss.rcnn_loss_cls: 0.1114, RCNNLoss.rcnn_loss_bbox: 0.1812, SampledMaskLoss.rcnn_loss_mask: 0.2877 [06/20 15:28:16] Vis4D INFO: Epoch 8: 9650/9726, ETA: 0:00:44, 1.70it/s, loss: 0.6456, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0314, RCNNLoss.rcnn_loss_cls: 0.1107, RCNNLoss.rcnn_loss_bbox: 0.1830, SampledMaskLoss.rcnn_loss_mask: 0.3096 [06/20 15:28:47] Vis4D INFO: Epoch 8: 9700/9726, ETA: 0:00:15, 1.70it/s, loss: 0.6597, RPNLoss.loss_cls: 0.0117, RPNLoss.loss_bbox: 0.0342, RCNNLoss.rcnn_loss_cls: 0.1188, RCNNLoss.rcnn_loss_bbox: 0.1932, SampledMaskLoss.rcnn_loss_mask: 0.3018 [06/20 15:29:21] Vis4D INFO: Testing: 50/1400, ETA: 0:08:29, 2.65it/s [06/20 15:29:38] Vis4D INFO: Testing: 100/1400, ETA: 0:07:43, 2.81it/s [06/20 15:29:50] Vis4D INFO: Testing: 150/1400, ETA: 0:06:35, 3.16it/s [06/20 15:30:04] Vis4D INFO: Testing: 200/1400, ETA: 0:06:07, 3.26it/s [06/20 15:30:19] Vis4D INFO: Testing: 250/1400, ETA: 0:05:53, 3.25it/s [06/20 15:30:29] Vis4D INFO: Testing: 300/1400, ETA: 0:05:18, 3.45it/s [06/20 15:30:39] Vis4D INFO: Testing: 350/1400, ETA: 0:04:49, 3.63it/s [06/20 15:30:54] Vis4D INFO: Testing: 400/1400, ETA: 0:04:38, 3.59it/s [06/20 15:31:10] Vis4D INFO: Testing: 450/1400, ETA: 0:04:28, 3.53it/s [06/20 15:31:22] Vis4D INFO: Testing: 500/1400, ETA: 0:04:10, 3.59it/s [06/20 15:31:36] Vis4D INFO: Testing: 550/1400, ETA: 0:03:57, 3.57it/s [06/20 15:31:58] Vis4D INFO: Testing: 600/1400, ETA: 0:03:54, 3.41it/s [06/20 15:32:13] Vis4D INFO: Testing: 650/1400, ETA: 0:03:40, 3.40it/s [06/20 15:32:24] Vis4D INFO: Testing: 700/1400, ETA: 0:03:21, 3.48it/s [06/20 15:32:38] Vis4D INFO: Testing: 750/1400, ETA: 0:03:06, 3.48it/s [06/20 15:32:46] Vis4D INFO: Testing: 800/1400, ETA: 0:02:48, 3.57it/s [06/20 15:32:59] Vis4D INFO: Testing: 850/1400, ETA: 0:02:33, 3.59it/s [06/20 15:33:10] Vis4D INFO: Testing: 900/1400, ETA: 0:02:17, 3.63it/s [06/20 15:33:26] Vis4D INFO: Testing: 950/1400, ETA: 0:02:04, 3.60it/s [06/20 15:33:36] Vis4D INFO: Testing: 1000/1400, ETA: 0:01:49, 3.65it/s [06/20 15:33:49] Vis4D INFO: Testing: 1050/1400, ETA: 0:01:35, 3.66it/s [06/20 15:34:02] Vis4D INFO: Testing: 1100/1400, ETA: 0:01:21, 3.68it/s [06/20 15:34:17] Vis4D INFO: Testing: 1150/1400, ETA: 0:01:08, 3.65it/s [06/20 15:34:32] Vis4D INFO: Testing: 1200/1400, ETA: 0:00:54, 3.64it/s [06/20 15:34:43] Vis4D INFO: Testing: 1250/1400, ETA: 0:00:40, 3.67it/s [06/20 15:34:53] Vis4D INFO: Testing: 1300/1400, ETA: 0:00:26, 3.71it/s [06/20 15:35:08] Vis4D INFO: Testing: 1350/1400, ETA: 0:00:13, 3.69it/s [06/20 15:35:21] Vis4D INFO: Testing: 1400/1400, ETA: 0:00:00, 3.70it/s [06/20 15:35:21] Vis4D INFO: Running evaluator Scalabel Tracking Evaluator... [06/20 15:35:38] Vis4D INFO: Det/AP: 39.4089 [06/20 15:35:38] Vis4D INFO: Det/AP50: 59.2037 [06/20 15:35:38] Vis4D INFO: Det/AP75: 44.5405 [06/20 15:35:38] Vis4D INFO: Det/APs: 23.1429 [06/20 15:35:38] Vis4D INFO: Det/APm: 65.7804 [06/20 15:35:38] Vis4D INFO: Det/APl: 80.6750 [06/20 15:35:38] Vis4D INFO: Det/AR1: 29.7586 [06/20 15:35:38] Vis4D INFO: Det/AR10: 44.4958 [06/20 15:35:38] Vis4D INFO: Det/AR100: 45.3615 [06/20 15:35:38] Vis4D INFO: Det/ARs: 29.7030 [06/20 15:35:38] Vis4D INFO: Det/ARm: 71.4900 [06/20 15:35:38] Vis4D INFO: Det/ARl: 84.9122 [06/20 15:35:38] Vis4D INFO: Det/AP/pedestrian: 37.9995 [06/20 15:35:38] Vis4D INFO: Det/AP/car: 46.2418 [06/20 15:35:38] Vis4D INFO: Det/AP/truck: 40.4256 [06/20 15:35:38] Vis4D INFO: Det/AP/bus: 37.0061 [06/20 15:35:38] Vis4D INFO: Det/AP/motorcycle: 40.8191 [06/20 15:35:38] Vis4D INFO: Det/AP/bicycle: 33.9612 [06/20 15:35:38] Vis4D INFO: Showing evaluation results for Det [06/20 15:35:38] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl --------------------------------------------------------------------------- pedestrian 38.0 64.5 40.5 28.9 70.1 78.8 11.3 38.7 42.9 34.8 74.9 83.2 car 46.2 66.0 51.7 27.4 67.0 87.1 19.8 50.6 51.4 32.8 73.0 90.2 truck 40.4 61.3 45.1 20.1 62.9 75.2 32.1 46.9 47.0 28.1 68.1 80.4 bus 37.0 55.3 40.9 25.7 71.7 86.0 38.5 44.2 44.2 33.7 76.7 91.5 motorcycle 40.8 57.3 49.8 22.1 70.1 74.0 39.9 46.2 46.2 27.0 76.0 77.5 bicycle 34.0 50.9 39.3 14.8 52.9 83.0 37.0 40.4 40.4 21.8 60.3 86.8 --------------------------------------------------------------------------- OVERALL 39.4 59.2 44.5 23.1 65.8 80.7 29.8 44.5 45.4 29.7 71.5 84.9 [06/20 15:35:57] Vis4D INFO: InsSeg/AP: 0.5995 [06/20 15:35:57] Vis4D INFO: InsSeg/AP50: 0.9388 [06/20 15:35:57] Vis4D INFO: InsSeg/AP75: 0.5360 [06/20 15:35:57] Vis4D INFO: InsSeg/APs: 0.3632 [06/20 15:35:57] Vis4D INFO: InsSeg/APm: 1.1765 [06/20 15:35:57] Vis4D INFO: InsSeg/APl: 1.4113 [06/20 15:35:57] Vis4D INFO: InsSeg/AR1: 0.4332 [06/20 15:35:57] Vis4D INFO: InsSeg/AR10: 0.5234 [06/20 15:35:57] Vis4D INFO: InsSeg/AR100: 0.5234 [06/20 15:35:57] Vis4D INFO: InsSeg/ARs: 0.3860 [06/20 15:35:57] Vis4D INFO: InsSeg/ARm: 1.0044 [06/20 15:35:57] Vis4D INFO: InsSeg/ARl: 1.2607 [06/20 15:35:57] Vis4D INFO: InsSeg/AP/pedestrian: 0.1123 [06/20 15:35:57] Vis4D INFO: InsSeg/AP/car: 1.5943 [06/20 15:35:57] Vis4D INFO: InsSeg/AP/truck: 0.5545 [06/20 15:35:57] Vis4D INFO: InsSeg/AP/bus: 0.5116 [06/20 15:35:57] Vis4D INFO: InsSeg/AP/motorcycle: 0.6922 [06/20 15:35:57] Vis4D INFO: InsSeg/AP/bicycle: 0.1320 [06/20 15:35:57] Vis4D INFO: Showing evaluation results for InsSeg [06/20 15:35:57] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl -------------------------------------------------------------------------- pedestrian 0.1 0.2 0.1 0.0 1.1 2.6 0.1 0.2 0.2 0.1 1.1 2.4 car 1.6 2.3 1.7 1.2 1.9 3.3 1.1 1.5 1.5 1.2 1.7 2.8 truck 0.6 1.0 0.2 0.2 0.0 0.5 0.1 0.1 0.1 0.1 0.0 0.3 bus 0.5 0.7 0.5 0.3 2.0 2.1 0.5 0.5 0.5 0.2 1.7 2.1 motorcycle 0.7 1.1 0.6 0.4 1.4 0.0 0.6 0.6 0.6 0.6 1.0 0.0 bicycle 0.1 0.3 0.2 0.0 0.7 0.0 0.2 0.2 0.2 0.1 0.5 0.0 -------------------------------------------------------------------------- OVERALL 0.6 0.9 0.5 0.4 1.2 1.4 0.4 0.5 0.5 0.4 1.0 1.3 [06/20 15:36:26] Vis4D INFO: Epoch 9: 50/9726, ETA: 1:29:15, 1.81it/s, loss: 0.5731, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.1005, RCNNLoss.rcnn_loss_bbox: 0.1638, SampledMaskLoss.rcnn_loss_mask: 0.2728 [06/20 15:36:57] Vis4D INFO: Epoch 9: 100/9726, ETA: 1:34:46, 1.69it/s, loss: 0.5843, RPNLoss.loss_cls: 0.0097, RPNLoss.loss_bbox: 0.0259, RCNNLoss.rcnn_loss_cls: 0.1011, RCNNLoss.rcnn_loss_bbox: 0.1629, SampledMaskLoss.rcnn_loss_mask: 0.2848 [06/20 15:37:26] Vis4D INFO: Epoch 9: 150/9726, ETA: 1:33:30, 1.71it/s, loss: 0.5846, RPNLoss.loss_cls: 0.0133, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.1017, RCNNLoss.rcnn_loss_bbox: 0.1651, SampledMaskLoss.rcnn_loss_mask: 0.2759 [06/20 15:37:55] Vis4D INFO: Epoch 9: 200/9726, ETA: 1:32:54, 1.71it/s, loss: 0.5447, RPNLoss.loss_cls: 0.0094, RPNLoss.loss_bbox: 0.0237, RCNNLoss.rcnn_loss_cls: 0.0952, RCNNLoss.rcnn_loss_bbox: 0.1439, SampledMaskLoss.rcnn_loss_mask: 0.2725 [06/20 15:38:26] Vis4D INFO: Epoch 9: 250/9726, ETA: 1:33:40, 1.69it/s, loss: 0.5168, RPNLoss.loss_cls: 0.0121, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0950, RCNNLoss.rcnn_loss_bbox: 0.1560, SampledMaskLoss.rcnn_loss_mask: 0.2298 [06/20 15:38:57] Vis4D INFO: Epoch 9: 300/9726, ETA: 1:33:37, 1.68it/s, loss: 0.5187, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0209, RCNNLoss.rcnn_loss_cls: 0.0930, RCNNLoss.rcnn_loss_bbox: 0.1485, SampledMaskLoss.rcnn_loss_mask: 0.2479 [06/20 15:39:28] Vis4D INFO: Epoch 9: 350/9726, ETA: 1:33:30, 1.67it/s, loss: 0.5300, RPNLoss.loss_cls: 0.0137, RPNLoss.loss_bbox: 0.0243, RCNNLoss.rcnn_loss_cls: 0.1049, RCNNLoss.rcnn_loss_bbox: 0.1586, SampledMaskLoss.rcnn_loss_mask: 0.2284 [06/20 15:39:58] Vis4D INFO: Epoch 9: 400/9726, ETA: 1:33:22, 1.66it/s, loss: 0.6024, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0309, RCNNLoss.rcnn_loss_cls: 0.1143, RCNNLoss.rcnn_loss_bbox: 0.1790, SampledMaskLoss.rcnn_loss_mask: 0.2648 [06/20 15:40:26] Vis4D INFO: Epoch 9: 450/9726, ETA: 1:32:10, 1.68it/s, loss: 0.4841, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.0873, RCNNLoss.rcnn_loss_bbox: 0.1478, SampledMaskLoss.rcnn_loss_mask: 0.2150 [06/20 15:40:53] Vis4D INFO: Epoch 9: 500/9726, ETA: 1:30:44, 1.69it/s, loss: 0.5247, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0217, RCNNLoss.rcnn_loss_cls: 0.0872, RCNNLoss.rcnn_loss_bbox: 0.1436, SampledMaskLoss.rcnn_loss_mask: 0.2634 [06/20 15:41:21] Vis4D INFO: Epoch 9: 550/9726, ETA: 1:29:54, 1.70it/s, loss: 0.5233, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.0984, RCNNLoss.rcnn_loss_bbox: 0.1573, SampledMaskLoss.rcnn_loss_mask: 0.2344 [06/20 15:41:51] Vis4D INFO: Epoch 9: 600/9726, ETA: 1:29:32, 1.70it/s, loss: 0.5699, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.1002, RCNNLoss.rcnn_loss_bbox: 0.1516, SampledMaskLoss.rcnn_loss_mask: 0.2803 [06/20 15:42:21] Vis4D INFO: Epoch 9: 650/9726, ETA: 1:29:09, 1.70it/s, loss: 0.4861, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0904, RCNNLoss.rcnn_loss_bbox: 0.1406, SampledMaskLoss.rcnn_loss_mask: 0.2207 [06/20 15:42:52] Vis4D INFO: Epoch 9: 700/9726, ETA: 1:28:51, 1.69it/s, loss: 0.6052, RPNLoss.loss_cls: 0.0160, RPNLoss.loss_bbox: 0.0351, RCNNLoss.rcnn_loss_cls: 0.1169, RCNNLoss.rcnn_loss_bbox: 0.1880, SampledMaskLoss.rcnn_loss_mask: 0.2492 [06/20 15:43:21] Vis4D INFO: Epoch 9: 750/9726, ETA: 1:28:19, 1.69it/s, loss: 0.5075, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0242, RCNNLoss.rcnn_loss_cls: 0.0946, RCNNLoss.rcnn_loss_bbox: 0.1542, SampledMaskLoss.rcnn_loss_mask: 0.2238 [06/20 15:43:50] Vis4D INFO: Epoch 9: 800/9726, ETA: 1:27:40, 1.70it/s, loss: 0.4904, RPNLoss.loss_cls: 0.0123, RPNLoss.loss_bbox: 0.0239, RCNNLoss.rcnn_loss_cls: 0.0944, RCNNLoss.rcnn_loss_bbox: 0.1484, SampledMaskLoss.rcnn_loss_mask: 0.2114 [06/20 15:44:18] Vis4D INFO: Epoch 9: 850/9726, ETA: 1:27:01, 1.70it/s, loss: 0.4761, RPNLoss.loss_cls: 0.0096, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.0849, RCNNLoss.rcnn_loss_bbox: 0.1462, SampledMaskLoss.rcnn_loss_mask: 0.2105 [06/20 15:44:48] Vis4D INFO: Epoch 9: 900/9726, ETA: 1:26:32, 1.70it/s, loss: 0.5057, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0272, RCNNLoss.rcnn_loss_cls: 0.1036, RCNNLoss.rcnn_loss_bbox: 0.1641, SampledMaskLoss.rcnn_loss_mask: 0.1998 [06/20 15:45:15] Vis4D INFO: Epoch 9: 950/9726, ETA: 1:25:46, 1.71it/s, loss: 0.5312, RPNLoss.loss_cls: 0.0101, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.0964, RCNNLoss.rcnn_loss_bbox: 0.1612, SampledMaskLoss.rcnn_loss_mask: 0.2360 [06/20 15:45:44] Vis4D INFO: Epoch 9: 1000/9726, ETA: 1:25:15, 1.71it/s, loss: 0.5902, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0306, RCNNLoss.rcnn_loss_cls: 0.0999, RCNNLoss.rcnn_loss_bbox: 0.1719, SampledMaskLoss.rcnn_loss_mask: 0.2785 [06/20 15:46:13] Vis4D INFO: Epoch 9: 1050/9726, ETA: 1:24:37, 1.71it/s, loss: 0.5282, RPNLoss.loss_cls: 0.0089, RPNLoss.loss_bbox: 0.0224, RCNNLoss.rcnn_loss_cls: 0.1055, RCNNLoss.rcnn_loss_bbox: 0.1584, SampledMaskLoss.rcnn_loss_mask: 0.2331 [06/20 15:46:41] Vis4D INFO: Epoch 9: 1100/9726, ETA: 1:24:03, 1.71it/s, loss: 0.5291, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0257, RCNNLoss.rcnn_loss_cls: 0.0952, RCNNLoss.rcnn_loss_bbox: 0.1524, SampledMaskLoss.rcnn_loss_mask: 0.2416 [06/20 15:47:08] Vis4D INFO: Epoch 9: 1150/9726, ETA: 1:23:15, 1.72it/s, loss: 0.5440, RPNLoss.loss_cls: 0.0120, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.1093, RCNNLoss.rcnn_loss_bbox: 0.1588, SampledMaskLoss.rcnn_loss_mask: 0.2375 [06/20 15:47:36] Vis4D INFO: Epoch 9: 1200/9726, ETA: 1:22:37, 1.72it/s, loss: 0.5648, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.1026, RCNNLoss.rcnn_loss_bbox: 0.1595, SampledMaskLoss.rcnn_loss_mask: 0.2662 [06/20 15:48:03] Vis4D INFO: Epoch 9: 1250/9726, ETA: 1:21:57, 1.72it/s, loss: 0.4999, RPNLoss.loss_cls: 0.0132, RPNLoss.loss_bbox: 0.0242, RCNNLoss.rcnn_loss_cls: 0.0877, RCNNLoss.rcnn_loss_bbox: 0.1451, SampledMaskLoss.rcnn_loss_mask: 0.2298 [06/20 15:48:31] Vis4D INFO: Epoch 9: 1300/9726, ETA: 1:21:17, 1.73it/s, loss: 0.4672, RPNLoss.loss_cls: 0.0135, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.0938, RCNNLoss.rcnn_loss_bbox: 0.1542, SampledMaskLoss.rcnn_loss_mask: 0.1804 [06/20 15:48:58] Vis4D INFO: Epoch 9: 1350/9726, ETA: 1:20:40, 1.73it/s, loss: 0.4308, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0876, RCNNLoss.rcnn_loss_bbox: 0.1362, SampledMaskLoss.rcnn_loss_mask: 0.1767 [06/20 15:49:25] Vis4D INFO: Epoch 9: 1400/9726, ETA: 1:20:01, 1.73it/s, loss: 0.5920, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.0998, RCNNLoss.rcnn_loss_bbox: 0.1696, SampledMaskLoss.rcnn_loss_mask: 0.2861 [06/20 15:49:55] Vis4D INFO: Epoch 9: 1450/9726, ETA: 1:19:34, 1.73it/s, loss: 0.5290, RPNLoss.loss_cls: 0.0102, RPNLoss.loss_bbox: 0.0226, RCNNLoss.rcnn_loss_cls: 0.0929, RCNNLoss.rcnn_loss_bbox: 0.1535, SampledMaskLoss.rcnn_loss_mask: 0.2497 [06/20 15:50:24] Vis4D INFO: Epoch 9: 1500/9726, ETA: 1:19:08, 1.73it/s, loss: 0.4766, RPNLoss.loss_cls: 0.0094, RPNLoss.loss_bbox: 0.0245, RCNNLoss.rcnn_loss_cls: 0.0910, RCNNLoss.rcnn_loss_bbox: 0.1404, SampledMaskLoss.rcnn_loss_mask: 0.2114 [06/20 15:50:55] Vis4D INFO: Epoch 9: 1550/9726, ETA: 1:18:51, 1.73it/s, loss: 0.4811, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0249, RCNNLoss.rcnn_loss_cls: 0.0858, RCNNLoss.rcnn_loss_bbox: 0.1486, SampledMaskLoss.rcnn_loss_mask: 0.2125 [06/20 15:51:25] Vis4D INFO: Epoch 9: 1600/9726, ETA: 1:18:29, 1.73it/s, loss: 0.5001, RPNLoss.loss_cls: 0.0139, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.0906, RCNNLoss.rcnn_loss_bbox: 0.1459, SampledMaskLoss.rcnn_loss_mask: 0.2247 [06/20 15:51:55] Vis4D INFO: Epoch 9: 1650/9726, ETA: 1:18:01, 1.73it/s, loss: 0.5556, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.0927, RCNNLoss.rcnn_loss_bbox: 0.1505, SampledMaskLoss.rcnn_loss_mask: 0.2745 [06/20 15:52:25] Vis4D INFO: Epoch 9: 1700/9726, ETA: 1:17:39, 1.72it/s, loss: 0.4940, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0242, RCNNLoss.rcnn_loss_cls: 0.0909, RCNNLoss.rcnn_loss_bbox: 0.1518, SampledMaskLoss.rcnn_loss_mask: 0.2159 [06/20 15:52:53] Vis4D INFO: Epoch 9: 1750/9726, ETA: 1:17:07, 1.72it/s, loss: 0.4908, RPNLoss.loss_cls: 0.0104, RPNLoss.loss_bbox: 0.0257, RCNNLoss.rcnn_loss_cls: 0.0962, RCNNLoss.rcnn_loss_bbox: 0.1591, SampledMaskLoss.rcnn_loss_mask: 0.1993 [06/20 15:53:23] Vis4D INFO: Epoch 9: 1800/9726, ETA: 1:16:41, 1.72it/s, loss: 0.4587, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0235, RCNNLoss.rcnn_loss_cls: 0.0850, RCNNLoss.rcnn_loss_bbox: 0.1376, SampledMaskLoss.rcnn_loss_mask: 0.2020 [06/20 15:53:52] Vis4D INFO: Epoch 9: 1850/9726, ETA: 1:16:13, 1.72it/s, loss: 0.5052, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.0886, RCNNLoss.rcnn_loss_bbox: 0.1512, SampledMaskLoss.rcnn_loss_mask: 0.2331 [06/20 15:54:21] Vis4D INFO: Epoch 9: 1900/9726, ETA: 1:15:44, 1.72it/s, loss: 0.5226, RPNLoss.loss_cls: 0.0104, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.0969, RCNNLoss.rcnn_loss_bbox: 0.1587, SampledMaskLoss.rcnn_loss_mask: 0.2297 [06/20 15:54:50] Vis4D INFO: Epoch 9: 1950/9726, ETA: 1:15:12, 1.72it/s, loss: 0.4716, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0242, RCNNLoss.rcnn_loss_cls: 0.0933, RCNNLoss.rcnn_loss_bbox: 0.1507, SampledMaskLoss.rcnn_loss_mask: 0.1946 [06/20 15:55:18] Vis4D INFO: Epoch 9: 2000/9726, ETA: 1:14:40, 1.72it/s, loss: 0.4846, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.0900, RCNNLoss.rcnn_loss_bbox: 0.1394, SampledMaskLoss.rcnn_loss_mask: 0.2214 [06/20 15:55:46] Vis4D INFO: Epoch 9: 2050/9726, ETA: 1:14:06, 1.73it/s, loss: 0.5247, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0231, RCNNLoss.rcnn_loss_cls: 0.0926, RCNNLoss.rcnn_loss_bbox: 0.1556, SampledMaskLoss.rcnn_loss_mask: 0.2458 [06/20 15:56:14] Vis4D INFO: Epoch 9: 2100/9726, ETA: 1:13:34, 1.73it/s, loss: 0.4937, RPNLoss.loss_cls: 0.0075, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0839, RCNNLoss.rcnn_loss_bbox: 0.1380, SampledMaskLoss.rcnn_loss_mask: 0.2413 [06/20 15:56:42] Vis4D INFO: Epoch 9: 2150/9726, ETA: 1:13:01, 1.73it/s, loss: 0.5206, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.1000, RCNNLoss.rcnn_loss_bbox: 0.1624, SampledMaskLoss.rcnn_loss_mask: 0.2240 [06/20 15:57:12] Vis4D INFO: Epoch 9: 2200/9726, ETA: 1:12:38, 1.73it/s, loss: 0.4496, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0822, RCNNLoss.rcnn_loss_bbox: 0.1318, SampledMaskLoss.rcnn_loss_mask: 0.2045 [06/20 15:57:42] Vis4D INFO: Epoch 9: 2250/9726, ETA: 1:12:10, 1.73it/s, loss: 0.4963, RPNLoss.loss_cls: 0.0097, RPNLoss.loss_bbox: 0.0234, RCNNLoss.rcnn_loss_cls: 0.0894, RCNNLoss.rcnn_loss_bbox: 0.1501, SampledMaskLoss.rcnn_loss_mask: 0.2237 [06/20 15:58:11] Vis4D INFO: Epoch 9: 2300/9726, ETA: 1:11:43, 1.73it/s, loss: 0.5235, RPNLoss.loss_cls: 0.0098, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.0919, RCNNLoss.rcnn_loss_bbox: 0.1621, SampledMaskLoss.rcnn_loss_mask: 0.2323 [06/20 15:58:39] Vis4D INFO: Epoch 9: 2350/9726, ETA: 1:11:12, 1.73it/s, loss: 0.4576, RPNLoss.loss_cls: 0.0100, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0759, RCNNLoss.rcnn_loss_bbox: 0.1280, SampledMaskLoss.rcnn_loss_mask: 0.2228 [06/20 15:59:06] Vis4D INFO: Epoch 9: 2400/9726, ETA: 1:10:36, 1.73it/s, loss: 0.4838, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0190, RCNNLoss.rcnn_loss_cls: 0.0832, RCNNLoss.rcnn_loss_bbox: 0.1368, SampledMaskLoss.rcnn_loss_mask: 0.2367 [06/20 15:59:33] Vis4D INFO: Epoch 9: 2450/9726, ETA: 1:10:03, 1.73it/s, loss: 0.4976, RPNLoss.loss_cls: 0.0087, RPNLoss.loss_bbox: 0.0249, RCNNLoss.rcnn_loss_cls: 0.0926, RCNNLoss.rcnn_loss_bbox: 0.1553, SampledMaskLoss.rcnn_loss_mask: 0.2161 [06/20 16:00:00] Vis4D INFO: Epoch 9: 2500/9726, ETA: 1:09:27, 1.73it/s, loss: 0.5149, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0254, RCNNLoss.rcnn_loss_cls: 0.0949, RCNNLoss.rcnn_loss_bbox: 0.1485, SampledMaskLoss.rcnn_loss_mask: 0.2379 [06/20 16:00:27] Vis4D INFO: Epoch 9: 2550/9726, ETA: 1:08:54, 1.74it/s, loss: 0.4406, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0236, RCNNLoss.rcnn_loss_cls: 0.0786, RCNNLoss.rcnn_loss_bbox: 0.1404, SampledMaskLoss.rcnn_loss_mask: 0.1899 [06/20 16:00:54] Vis4D INFO: Epoch 9: 2600/9726, ETA: 1:08:20, 1.74it/s, loss: 0.5227, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0238, RCNNLoss.rcnn_loss_cls: 0.0942, RCNNLoss.rcnn_loss_bbox: 0.1493, SampledMaskLoss.rcnn_loss_mask: 0.2492 [06/20 16:01:22] Vis4D INFO: Epoch 9: 2650/9726, ETA: 1:07:49, 1.74it/s, loss: 0.5070, RPNLoss.loss_cls: 0.0097, RPNLoss.loss_bbox: 0.0245, RCNNLoss.rcnn_loss_cls: 0.0928, RCNNLoss.rcnn_loss_bbox: 0.1520, SampledMaskLoss.rcnn_loss_mask: 0.2280 [06/20 16:01:49] Vis4D INFO: Epoch 9: 2700/9726, ETA: 1:07:16, 1.74it/s, loss: 0.4749, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0883, RCNNLoss.rcnn_loss_bbox: 0.1390, SampledMaskLoss.rcnn_loss_mask: 0.2174 [06/20 16:02:16] Vis4D INFO: Epoch 9: 2750/9726, ETA: 1:06:43, 1.74it/s, loss: 0.5162, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0958, RCNNLoss.rcnn_loss_bbox: 0.1650, SampledMaskLoss.rcnn_loss_mask: 0.2211 [06/20 16:02:46] Vis4D INFO: Epoch 9: 2800/9726, ETA: 1:06:16, 1.74it/s, loss: 0.5565, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.1051, RCNNLoss.rcnn_loss_bbox: 0.1608, SampledMaskLoss.rcnn_loss_mask: 0.2509 [06/20 16:03:14] Vis4D INFO: Epoch 9: 2850/9726, ETA: 1:05:46, 1.74it/s, loss: 0.5162, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0218, RCNNLoss.rcnn_loss_cls: 0.0856, RCNNLoss.rcnn_loss_bbox: 0.1435, SampledMaskLoss.rcnn_loss_mask: 0.2572 [06/20 16:03:41] Vis4D INFO: Epoch 9: 2900/9726, ETA: 1:05:14, 1.74it/s, loss: 0.5057, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0307, RCNNLoss.rcnn_loss_cls: 0.0997, RCNNLoss.rcnn_loss_bbox: 0.1685, SampledMaskLoss.rcnn_loss_mask: 0.1950 [06/20 16:04:09] Vis4D INFO: Epoch 9: 2950/9726, ETA: 1:04:42, 1.75it/s, loss: 0.4619, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0879, RCNNLoss.rcnn_loss_bbox: 0.1413, SampledMaskLoss.rcnn_loss_mask: 0.1971 [06/20 16:04:36] Vis4D INFO: Epoch 9: 3000/9726, ETA: 1:04:12, 1.75it/s, loss: 0.4503, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0752, RCNNLoss.rcnn_loss_bbox: 0.1327, SampledMaskLoss.rcnn_loss_mask: 0.2130 [06/20 16:05:05] Vis4D INFO: Epoch 9: 3050/9726, ETA: 1:03:44, 1.75it/s, loss: 0.5000, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0909, RCNNLoss.rcnn_loss_bbox: 0.1525, SampledMaskLoss.rcnn_loss_mask: 0.2254 [06/20 16:05:33] Vis4D INFO: Epoch 9: 3100/9726, ETA: 1:03:14, 1.75it/s, loss: 0.4881, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0942, RCNNLoss.rcnn_loss_bbox: 0.1449, SampledMaskLoss.rcnn_loss_mask: 0.2150 [06/20 16:06:03] Vis4D INFO: Epoch 9: 3150/9726, ETA: 1:02:47, 1.75it/s, loss: 0.4721, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0218, RCNNLoss.rcnn_loss_cls: 0.0830, RCNNLoss.rcnn_loss_bbox: 0.1422, SampledMaskLoss.rcnn_loss_mask: 0.2158 [06/20 16:06:32] Vis4D INFO: Epoch 9: 3200/9726, ETA: 1:02:19, 1.75it/s, loss: 0.5252, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0242, RCNNLoss.rcnn_loss_cls: 0.0931, RCNNLoss.rcnn_loss_bbox: 0.1490, SampledMaskLoss.rcnn_loss_mask: 0.2501 [06/20 16:07:00] Vis4D INFO: Epoch 9: 3250/9726, ETA: 1:01:49, 1.75it/s, loss: 0.4870, RPNLoss.loss_cls: 0.0068, RPNLoss.loss_bbox: 0.0232, RCNNLoss.rcnn_loss_cls: 0.0916, RCNNLoss.rcnn_loss_bbox: 0.1506, SampledMaskLoss.rcnn_loss_mask: 0.2147 [06/20 16:07:27] Vis4D INFO: Epoch 9: 3300/9726, ETA: 1:01:19, 1.75it/s, loss: 0.5018, RPNLoss.loss_cls: 0.0098, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0927, RCNNLoss.rcnn_loss_bbox: 0.1482, SampledMaskLoss.rcnn_loss_mask: 0.2259 [06/20 16:07:55] Vis4D INFO: Epoch 9: 3350/9726, ETA: 1:00:48, 1.75it/s, loss: 0.4781, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0908, RCNNLoss.rcnn_loss_bbox: 0.1448, SampledMaskLoss.rcnn_loss_mask: 0.2130 [06/20 16:08:22] Vis4D INFO: Epoch 9: 3400/9726, ETA: 1:00:15, 1.75it/s, loss: 0.4914, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.0955, RCNNLoss.rcnn_loss_bbox: 0.1593, SampledMaskLoss.rcnn_loss_mask: 0.2039 [06/20 16:08:49] Vis4D INFO: Epoch 9: 3450/9726, ETA: 0:59:45, 1.75it/s, loss: 0.4838, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0221, RCNNLoss.rcnn_loss_cls: 0.0838, RCNNLoss.rcnn_loss_bbox: 0.1452, SampledMaskLoss.rcnn_loss_mask: 0.2250 [06/20 16:09:16] Vis4D INFO: Epoch 9: 3500/9726, ETA: 0:59:14, 1.75it/s, loss: 0.5094, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.0992, RCNNLoss.rcnn_loss_bbox: 0.1595, SampledMaskLoss.rcnn_loss_mask: 0.2125 [06/20 16:09:43] Vis4D INFO: Epoch 9: 3550/9726, ETA: 0:58:42, 1.75it/s, loss: 0.4611, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0184, RCNNLoss.rcnn_loss_cls: 0.0803, RCNNLoss.rcnn_loss_bbox: 0.1259, SampledMaskLoss.rcnn_loss_mask: 0.2281 [06/20 16:10:09] Vis4D INFO: Epoch 9: 3600/9726, ETA: 0:58:09, 1.76it/s, loss: 0.4837, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0224, RCNNLoss.rcnn_loss_cls: 0.0862, RCNNLoss.rcnn_loss_bbox: 0.1429, SampledMaskLoss.rcnn_loss_mask: 0.2241 [06/20 16:10:36] Vis4D INFO: Epoch 9: 3650/9726, ETA: 0:57:38, 1.76it/s, loss: 0.4655, RPNLoss.loss_cls: 0.0098, RPNLoss.loss_bbox: 0.0200, RCNNLoss.rcnn_loss_cls: 0.0891, RCNNLoss.rcnn_loss_bbox: 0.1373, SampledMaskLoss.rcnn_loss_mask: 0.2095 [06/20 16:11:04] Vis4D INFO: Epoch 9: 3700/9726, ETA: 0:57:09, 1.76it/s, loss: 0.4862, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0207, RCNNLoss.rcnn_loss_cls: 0.0843, RCNNLoss.rcnn_loss_bbox: 0.1494, SampledMaskLoss.rcnn_loss_mask: 0.2235 [06/20 16:11:32] Vis4D INFO: Epoch 9: 3750/9726, ETA: 0:56:40, 1.76it/s, loss: 0.4513, RPNLoss.loss_cls: 0.0095, RPNLoss.loss_bbox: 0.0242, RCNNLoss.rcnn_loss_cls: 0.0896, RCNNLoss.rcnn_loss_bbox: 0.1392, SampledMaskLoss.rcnn_loss_mask: 0.1887 [06/20 16:12:01] Vis4D INFO: Epoch 9: 3800/9726, ETA: 0:56:13, 1.76it/s, loss: 0.4520, RPNLoss.loss_cls: 0.0075, RPNLoss.loss_bbox: 0.0184, RCNNLoss.rcnn_loss_cls: 0.0766, RCNNLoss.rcnn_loss_bbox: 0.1210, SampledMaskLoss.rcnn_loss_mask: 0.2285 [06/20 16:12:31] Vis4D INFO: Epoch 9: 3850/9726, ETA: 0:55:46, 1.76it/s, loss: 0.5025, RPNLoss.loss_cls: 0.0106, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.0928, RCNNLoss.rcnn_loss_bbox: 0.1546, SampledMaskLoss.rcnn_loss_mask: 0.2179 [06/20 16:13:00] Vis4D INFO: Epoch 9: 3900/9726, ETA: 0:55:19, 1.76it/s, loss: 0.5148, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0244, RCNNLoss.rcnn_loss_cls: 0.0908, RCNNLoss.rcnn_loss_bbox: 0.1512, SampledMaskLoss.rcnn_loss_mask: 0.2408 [06/20 16:13:31] Vis4D INFO: Epoch 9: 3950/9726, ETA: 0:54:54, 1.75it/s, loss: 0.4542, RPNLoss.loss_cls: 0.0067, RPNLoss.loss_bbox: 0.0171, RCNNLoss.rcnn_loss_cls: 0.0731, RCNNLoss.rcnn_loss_bbox: 0.1252, SampledMaskLoss.rcnn_loss_mask: 0.2320 [06/20 16:14:02] Vis4D INFO: Epoch 9: 4000/9726, ETA: 0:54:28, 1.75it/s, loss: 0.4767, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0809, RCNNLoss.rcnn_loss_bbox: 0.1374, SampledMaskLoss.rcnn_loss_mask: 0.2307 [06/20 16:14:33] Vis4D INFO: Epoch 9: 4050/9726, ETA: 0:54:04, 1.75it/s, loss: 0.4836, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0236, RCNNLoss.rcnn_loss_cls: 0.0866, RCNNLoss.rcnn_loss_bbox: 0.1494, SampledMaskLoss.rcnn_loss_mask: 0.2168 [06/20 16:15:04] Vis4D INFO: Epoch 9: 4100/9726, ETA: 0:53:39, 1.75it/s, loss: 0.4899, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0245, RCNNLoss.rcnn_loss_cls: 0.0929, RCNNLoss.rcnn_loss_bbox: 0.1486, SampledMaskLoss.rcnn_loss_mask: 0.2123 [06/20 16:15:35] Vis4D INFO: Epoch 9: 4150/9726, ETA: 0:53:14, 1.75it/s, loss: 0.4526, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0887, RCNNLoss.rcnn_loss_bbox: 0.1449, SampledMaskLoss.rcnn_loss_mask: 0.1842 [06/20 16:16:05] Vis4D INFO: Epoch 9: 4200/9726, ETA: 0:52:46, 1.75it/s, loss: 0.4729, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0220, RCNNLoss.rcnn_loss_cls: 0.0918, RCNNLoss.rcnn_loss_bbox: 0.1488, SampledMaskLoss.rcnn_loss_mask: 0.1997 [06/20 16:16:34] Vis4D INFO: Epoch 9: 4250/9726, ETA: 0:52:18, 1.74it/s, loss: 0.4675, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0854, RCNNLoss.rcnn_loss_bbox: 0.1452, SampledMaskLoss.rcnn_loss_mask: 0.2075 [06/20 16:17:03] Vis4D INFO: Epoch 9: 4300/9726, ETA: 0:51:50, 1.74it/s, loss: 0.4733, RPNLoss.loss_cls: 0.0100, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0928, RCNNLoss.rcnn_loss_bbox: 0.1591, SampledMaskLoss.rcnn_loss_mask: 0.1892 [06/20 16:17:31] Vis4D INFO: Epoch 9: 4350/9726, ETA: 0:51:20, 1.75it/s, loss: 0.4632, RPNLoss.loss_cls: 0.0098, RPNLoss.loss_bbox: 0.0212, RCNNLoss.rcnn_loss_cls: 0.0820, RCNNLoss.rcnn_loss_bbox: 0.1346, SampledMaskLoss.rcnn_loss_mask: 0.2157 [06/20 16:18:02] Vis4D INFO: Epoch 9: 4400/9726, ETA: 0:50:54, 1.74it/s, loss: 0.4696, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.0802, RCNNLoss.rcnn_loss_bbox: 0.1345, SampledMaskLoss.rcnn_loss_mask: 0.2233 [06/20 16:18:30] Vis4D INFO: Epoch 9: 4450/9726, ETA: 0:50:25, 1.74it/s, loss: 0.4443, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0203, RCNNLoss.rcnn_loss_cls: 0.0781, RCNNLoss.rcnn_loss_bbox: 0.1287, SampledMaskLoss.rcnn_loss_mask: 0.2095 [06/20 16:18:58] Vis4D INFO: Epoch 9: 4500/9726, ETA: 0:49:56, 1.74it/s, loss: 0.5088, RPNLoss.loss_cls: 0.0097, RPNLoss.loss_bbox: 0.0243, RCNNLoss.rcnn_loss_cls: 0.0990, RCNNLoss.rcnn_loss_bbox: 0.1572, SampledMaskLoss.rcnn_loss_mask: 0.2186 [06/20 16:19:25] Vis4D INFO: Epoch 9: 4550/9726, ETA: 0:49:25, 1.75it/s, loss: 0.4764, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0947, RCNNLoss.rcnn_loss_bbox: 0.1545, SampledMaskLoss.rcnn_loss_mask: 0.1934 [06/20 16:19:52] Vis4D INFO: Epoch 9: 4600/9726, ETA: 0:48:55, 1.75it/s, loss: 0.4616, RPNLoss.loss_cls: 0.0065, RPNLoss.loss_bbox: 0.0197, RCNNLoss.rcnn_loss_cls: 0.0812, RCNNLoss.rcnn_loss_bbox: 0.1363, SampledMaskLoss.rcnn_loss_mask: 0.2179 [06/20 16:20:21] Vis4D INFO: Epoch 9: 4650/9726, ETA: 0:48:26, 1.75it/s, loss: 0.4634, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0257, RCNNLoss.rcnn_loss_cls: 0.0794, RCNNLoss.rcnn_loss_bbox: 0.1381, SampledMaskLoss.rcnn_loss_mask: 0.2135 [06/20 16:20:49] Vis4D INFO: Epoch 9: 4700/9726, ETA: 0:47:57, 1.75it/s, loss: 0.4942, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.0904, RCNNLoss.rcnn_loss_bbox: 0.1498, SampledMaskLoss.rcnn_loss_mask: 0.2166 [06/20 16:21:16] Vis4D INFO: Epoch 9: 4750/9726, ETA: 0:47:27, 1.75it/s, loss: 0.4971, RPNLoss.loss_cls: 0.0098, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0856, RCNNLoss.rcnn_loss_bbox: 0.1481, SampledMaskLoss.rcnn_loss_mask: 0.2305 [06/20 16:21:45] Vis4D INFO: Epoch 9: 4800/9726, ETA: 0:46:58, 1.75it/s, loss: 0.4798, RPNLoss.loss_cls: 0.0090, RPNLoss.loss_bbox: 0.0252, RCNNLoss.rcnn_loss_cls: 0.0940, RCNNLoss.rcnn_loss_bbox: 0.1560, SampledMaskLoss.rcnn_loss_mask: 0.1956 [06/20 16:22:14] Vis4D INFO: Epoch 9: 4850/9726, ETA: 0:46:30, 1.75it/s, loss: 0.4779, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0237, RCNNLoss.rcnn_loss_cls: 0.0880, RCNNLoss.rcnn_loss_bbox: 0.1482, SampledMaskLoss.rcnn_loss_mask: 0.2110 [06/20 16:22:41] Vis4D INFO: Epoch 9: 4900/9726, ETA: 0:46:01, 1.75it/s, loss: 0.4434, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0193, RCNNLoss.rcnn_loss_cls: 0.0841, RCNNLoss.rcnn_loss_bbox: 0.1331, SampledMaskLoss.rcnn_loss_mask: 0.1983 [06/20 16:23:10] Vis4D INFO: Epoch 9: 4950/9726, ETA: 0:45:32, 1.75it/s, loss: 0.5005, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0236, RCNNLoss.rcnn_loss_cls: 0.0828, RCNNLoss.rcnn_loss_bbox: 0.1485, SampledMaskLoss.rcnn_loss_mask: 0.2334 [06/20 16:23:38] Vis4D INFO: Epoch 9: 5000/9726, ETA: 0:45:03, 1.75it/s, loss: 0.5006, RPNLoss.loss_cls: 0.0075, RPNLoss.loss_bbox: 0.0218, RCNNLoss.rcnn_loss_cls: 0.0874, RCNNLoss.rcnn_loss_bbox: 0.1447, SampledMaskLoss.rcnn_loss_mask: 0.2391 [06/20 16:24:05] Vis4D INFO: Epoch 9: 5050/9726, ETA: 0:44:33, 1.75it/s, loss: 0.4702, RPNLoss.loss_cls: 0.0087, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0900, RCNNLoss.rcnn_loss_bbox: 0.1486, SampledMaskLoss.rcnn_loss_mask: 0.2017 [06/20 16:24:36] Vis4D INFO: Epoch 9: 5100/9726, ETA: 0:44:06, 1.75it/s, loss: 0.4831, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.0969, RCNNLoss.rcnn_loss_bbox: 0.1564, SampledMaskLoss.rcnn_loss_mask: 0.1951 [06/20 16:25:07] Vis4D INFO: Epoch 9: 5150/9726, ETA: 0:43:39, 1.75it/s, loss: 0.4419, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0199, RCNNLoss.rcnn_loss_cls: 0.0755, RCNNLoss.rcnn_loss_bbox: 0.1286, SampledMaskLoss.rcnn_loss_mask: 0.2098 [06/20 16:25:37] Vis4D INFO: Epoch 9: 5200/9726, ETA: 0:43:12, 1.75it/s, loss: 0.5009, RPNLoss.loss_cls: 0.0100, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.0892, RCNNLoss.rcnn_loss_bbox: 0.1540, SampledMaskLoss.rcnn_loss_mask: 0.2231 [06/20 16:26:10] Vis4D INFO: Epoch 9: 5250/9726, ETA: 0:42:47, 1.74it/s, loss: 0.4945, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0276, RCNNLoss.rcnn_loss_cls: 0.0871, RCNNLoss.rcnn_loss_bbox: 0.1453, SampledMaskLoss.rcnn_loss_mask: 0.2263 [06/20 16:26:40] Vis4D INFO: Epoch 9: 5300/9726, ETA: 0:42:20, 1.74it/s, loss: 0.5101, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0259, RCNNLoss.rcnn_loss_cls: 0.0890, RCNNLoss.rcnn_loss_bbox: 0.1556, SampledMaskLoss.rcnn_loss_mask: 0.2306 [06/20 16:27:11] Vis4D INFO: Epoch 9: 5350/9726, ETA: 0:41:53, 1.74it/s, loss: 0.4604, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0252, RCNNLoss.rcnn_loss_cls: 0.0880, RCNNLoss.rcnn_loss_bbox: 0.1585, SampledMaskLoss.rcnn_loss_mask: 0.1805 [06/20 16:27:39] Vis4D INFO: Epoch 9: 5400/9726, ETA: 0:41:24, 1.74it/s, loss: 0.4441, RPNLoss.loss_cls: 0.0067, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0827, RCNNLoss.rcnn_loss_bbox: 0.1415, SampledMaskLoss.rcnn_loss_mask: 0.1898 [06/20 16:28:07] Vis4D INFO: Epoch 9: 5450/9726, ETA: 0:40:54, 1.74it/s, loss: 0.4237, RPNLoss.loss_cls: 0.0097, RPNLoss.loss_bbox: 0.0200, RCNNLoss.rcnn_loss_cls: 0.0826, RCNNLoss.rcnn_loss_bbox: 0.1307, SampledMaskLoss.rcnn_loss_mask: 0.1807 [06/20 16:28:34] Vis4D INFO: Epoch 9: 5500/9726, ETA: 0:40:24, 1.74it/s, loss: 0.5272, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0876, RCNNLoss.rcnn_loss_bbox: 0.1429, SampledMaskLoss.rcnn_loss_mask: 0.2645 [06/20 16:29:02] Vis4D INFO: Epoch 9: 5550/9726, ETA: 0:39:55, 1.74it/s, loss: 0.5007, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0904, RCNNLoss.rcnn_loss_bbox: 0.1477, SampledMaskLoss.rcnn_loss_mask: 0.2309 [06/20 16:29:31] Vis4D INFO: Epoch 9: 5600/9726, ETA: 0:39:27, 1.74it/s, loss: 0.5036, RPNLoss.loss_cls: 0.0087, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.0928, RCNNLoss.rcnn_loss_bbox: 0.1471, SampledMaskLoss.rcnn_loss_mask: 0.2286 [06/20 16:30:00] Vis4D INFO: Epoch 9: 5650/9726, ETA: 0:38:58, 1.74it/s, loss: 0.4325, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0206, RCNNLoss.rcnn_loss_cls: 0.0760, RCNNLoss.rcnn_loss_bbox: 0.1353, SampledMaskLoss.rcnn_loss_mask: 0.1941 [06/20 16:30:28] Vis4D INFO: Epoch 9: 5700/9726, ETA: 0:38:29, 1.74it/s, loss: 0.5039, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0188, RCNNLoss.rcnn_loss_cls: 0.0864, RCNNLoss.rcnn_loss_bbox: 0.1395, SampledMaskLoss.rcnn_loss_mask: 0.2518 [06/20 16:30:54] Vis4D INFO: Epoch 9: 5750/9726, ETA: 0:37:59, 1.74it/s, loss: 0.4004, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0182, RCNNLoss.rcnn_loss_cls: 0.0673, RCNNLoss.rcnn_loss_bbox: 0.1166, SampledMaskLoss.rcnn_loss_mask: 0.1920 [06/20 16:31:22] Vis4D INFO: Epoch 9: 5800/9726, ETA: 0:37:30, 1.74it/s, loss: 0.4940, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.0892, RCNNLoss.rcnn_loss_bbox: 0.1524, SampledMaskLoss.rcnn_loss_mask: 0.2188 [06/20 16:31:50] Vis4D INFO: Epoch 9: 5850/9726, ETA: 0:37:00, 1.75it/s, loss: 0.4907, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0242, RCNNLoss.rcnn_loss_cls: 0.0899, RCNNLoss.rcnn_loss_bbox: 0.1511, SampledMaskLoss.rcnn_loss_mask: 0.2162 [06/20 16:32:16] Vis4D INFO: Epoch 9: 5900/9726, ETA: 0:36:30, 1.75it/s, loss: 0.4716, RPNLoss.loss_cls: 0.0053, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0884, RCNNLoss.rcnn_loss_bbox: 0.1453, SampledMaskLoss.rcnn_loss_mask: 0.2117 [06/20 16:32:46] Vis4D INFO: Epoch 9: 5950/9726, ETA: 0:36:02, 1.75it/s, loss: 0.5079, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.1022, RCNNLoss.rcnn_loss_bbox: 0.1568, SampledMaskLoss.rcnn_loss_mask: 0.2147 [06/20 16:33:13] Vis4D INFO: Epoch 9: 6000/9726, ETA: 0:35:33, 1.75it/s, loss: 0.5068, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0241, RCNNLoss.rcnn_loss_cls: 0.0905, RCNNLoss.rcnn_loss_bbox: 0.1537, SampledMaskLoss.rcnn_loss_mask: 0.2316 [06/20 16:33:41] Vis4D INFO: Epoch 9: 6050/9726, ETA: 0:35:04, 1.75it/s, loss: 0.4297, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0195, RCNNLoss.rcnn_loss_cls: 0.0800, RCNNLoss.rcnn_loss_bbox: 0.1318, SampledMaskLoss.rcnn_loss_mask: 0.1899 [06/20 16:34:10] Vis4D INFO: Epoch 9: 6100/9726, ETA: 0:34:35, 1.75it/s, loss: 0.4905, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.0914, RCNNLoss.rcnn_loss_bbox: 0.1493, SampledMaskLoss.rcnn_loss_mask: 0.2150 [06/20 16:34:37] Vis4D INFO: Epoch 9: 6150/9726, ETA: 0:34:06, 1.75it/s, loss: 0.4268, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0182, RCNNLoss.rcnn_loss_cls: 0.0747, RCNNLoss.rcnn_loss_bbox: 0.1232, SampledMaskLoss.rcnn_loss_mask: 0.2033 [06/20 16:35:07] Vis4D INFO: Epoch 9: 6200/9726, ETA: 0:33:38, 1.75it/s, loss: 0.5286, RPNLoss.loss_cls: 0.0102, RPNLoss.loss_bbox: 0.0261, RCNNLoss.rcnn_loss_cls: 0.0941, RCNNLoss.rcnn_loss_bbox: 0.1571, SampledMaskLoss.rcnn_loss_mask: 0.2409 [06/20 16:35:34] Vis4D INFO: Epoch 9: 6250/9726, ETA: 0:33:08, 1.75it/s, loss: 0.4720, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0831, RCNNLoss.rcnn_loss_bbox: 0.1439, SampledMaskLoss.rcnn_loss_mask: 0.2164 [06/20 16:36:05] Vis4D INFO: Epoch 9: 6300/9726, ETA: 0:32:41, 1.75it/s, loss: 0.4313, RPNLoss.loss_cls: 0.0073, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0823, RCNNLoss.rcnn_loss_bbox: 0.1394, SampledMaskLoss.rcnn_loss_mask: 0.1801 [06/20 16:36:34] Vis4D INFO: Epoch 9: 6350/9726, ETA: 0:32:13, 1.75it/s, loss: 0.4972, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0902, RCNNLoss.rcnn_loss_bbox: 0.1481, SampledMaskLoss.rcnn_loss_mask: 0.2280 [06/20 16:37:06] Vis4D INFO: Epoch 9: 6400/9726, ETA: 0:31:46, 1.74it/s, loss: 0.4875, RPNLoss.loss_cls: 0.0089, RPNLoss.loss_bbox: 0.0234, RCNNLoss.rcnn_loss_cls: 0.0910, RCNNLoss.rcnn_loss_bbox: 0.1396, SampledMaskLoss.rcnn_loss_mask: 0.2246 [06/20 16:37:35] Vis4D INFO: Epoch 9: 6450/9726, ETA: 0:31:17, 1.74it/s, loss: 0.4682, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0875, RCNNLoss.rcnn_loss_bbox: 0.1401, SampledMaskLoss.rcnn_loss_mask: 0.2104 [06/20 16:38:06] Vis4D INFO: Epoch 9: 6500/9726, ETA: 0:30:50, 1.74it/s, loss: 0.5169, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.0996, RCNNLoss.rcnn_loss_bbox: 0.1675, SampledMaskLoss.rcnn_loss_mask: 0.2128 [06/20 16:38:36] Vis4D INFO: Epoch 9: 6550/9726, ETA: 0:30:22, 1.74it/s, loss: 0.4696, RPNLoss.loss_cls: 0.0103, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0901, RCNNLoss.rcnn_loss_bbox: 0.1530, SampledMaskLoss.rcnn_loss_mask: 0.1929 [06/20 16:39:04] Vis4D INFO: Epoch 9: 6600/9726, ETA: 0:29:53, 1.74it/s, loss: 0.4806, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0238, RCNNLoss.rcnn_loss_cls: 0.0863, RCNNLoss.rcnn_loss_bbox: 0.1471, SampledMaskLoss.rcnn_loss_mask: 0.2157 [06/20 16:39:33] Vis4D INFO: Epoch 9: 6650/9726, ETA: 0:29:24, 1.74it/s, loss: 0.4513, RPNLoss.loss_cls: 0.0114, RPNLoss.loss_bbox: 0.0260, RCNNLoss.rcnn_loss_cls: 0.0909, RCNNLoss.rcnn_loss_bbox: 0.1534, SampledMaskLoss.rcnn_loss_mask: 0.1697 [06/20 16:40:02] Vis4D INFO: Epoch 9: 6700/9726, ETA: 0:28:55, 1.74it/s, loss: 0.4597, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.0900, RCNNLoss.rcnn_loss_bbox: 0.1403, SampledMaskLoss.rcnn_loss_mask: 0.1912 [06/20 16:40:31] Vis4D INFO: Epoch 9: 6750/9726, ETA: 0:28:27, 1.74it/s, loss: 0.4838, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0861, RCNNLoss.rcnn_loss_bbox: 0.1477, SampledMaskLoss.rcnn_loss_mask: 0.2178 [06/20 16:41:01] Vis4D INFO: Epoch 9: 6800/9726, ETA: 0:27:59, 1.74it/s, loss: 0.4556, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0209, RCNNLoss.rcnn_loss_cls: 0.0769, RCNNLoss.rcnn_loss_bbox: 0.1238, SampledMaskLoss.rcnn_loss_mask: 0.2232 [06/20 16:41:29] Vis4D INFO: Epoch 9: 6850/9726, ETA: 0:27:30, 1.74it/s, loss: 0.4754, RPNLoss.loss_cls: 0.0101, RPNLoss.loss_bbox: 0.0252, RCNNLoss.rcnn_loss_cls: 0.0909, RCNNLoss.rcnn_loss_bbox: 0.1440, SampledMaskLoss.rcnn_loss_mask: 0.2052 [06/20 16:41:59] Vis4D INFO: Epoch 9: 6900/9726, ETA: 0:27:02, 1.74it/s, loss: 0.4435, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0934, RCNNLoss.rcnn_loss_bbox: 0.1492, SampledMaskLoss.rcnn_loss_mask: 0.1684 [06/20 16:42:28] Vis4D INFO: Epoch 9: 6950/9726, ETA: 0:26:33, 1.74it/s, loss: 0.5305, RPNLoss.loss_cls: 0.0097, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0934, RCNNLoss.rcnn_loss_bbox: 0.1447, SampledMaskLoss.rcnn_loss_mask: 0.2587 [06/20 16:42:56] Vis4D INFO: Epoch 9: 7000/9726, ETA: 0:26:04, 1.74it/s, loss: 0.4880, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0985, RCNNLoss.rcnn_loss_bbox: 0.1658, SampledMaskLoss.rcnn_loss_mask: 0.1919 [06/20 16:43:25] Vis4D INFO: Epoch 9: 7050/9726, ETA: 0:25:35, 1.74it/s, loss: 0.4566, RPNLoss.loss_cls: 0.0121, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0817, RCNNLoss.rcnn_loss_bbox: 0.1344, SampledMaskLoss.rcnn_loss_mask: 0.2054 [06/20 16:43:55] Vis4D INFO: Epoch 9: 7100/9726, ETA: 0:25:07, 1.74it/s, loss: 0.4828, RPNLoss.loss_cls: 0.0075, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0806, RCNNLoss.rcnn_loss_bbox: 0.1383, SampledMaskLoss.rcnn_loss_mask: 0.2348 [06/20 16:44:24] Vis4D INFO: Epoch 9: 7150/9726, ETA: 0:24:39, 1.74it/s, loss: 0.4829, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0223, RCNNLoss.rcnn_loss_cls: 0.0862, RCNNLoss.rcnn_loss_bbox: 0.1446, SampledMaskLoss.rcnn_loss_mask: 0.2214 [06/20 16:44:52] Vis4D INFO: Epoch 9: 7200/9726, ETA: 0:24:10, 1.74it/s, loss: 0.4364, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0207, RCNNLoss.rcnn_loss_cls: 0.0902, RCNNLoss.rcnn_loss_bbox: 0.1405, SampledMaskLoss.rcnn_loss_mask: 0.1767 [06/20 16:45:21] Vis4D INFO: Epoch 9: 7250/9726, ETA: 0:23:41, 1.74it/s, loss: 0.5090, RPNLoss.loss_cls: 0.0122, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.0915, RCNNLoss.rcnn_loss_bbox: 0.1508, SampledMaskLoss.rcnn_loss_mask: 0.2292 [06/20 16:45:51] Vis4D INFO: Epoch 9: 7300/9726, ETA: 0:23:13, 1.74it/s, loss: 0.4709, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0911, RCNNLoss.rcnn_loss_bbox: 0.1510, SampledMaskLoss.rcnn_loss_mask: 0.1977 [06/20 16:46:23] Vis4D INFO: Epoch 9: 7350/9726, ETA: 0:22:45, 1.74it/s, loss: 0.5082, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.1031, RCNNLoss.rcnn_loss_bbox: 0.1700, SampledMaskLoss.rcnn_loss_mask: 0.1954 [06/20 16:46:57] Vis4D INFO: Epoch 9: 7400/9726, ETA: 0:22:18, 1.74it/s, loss: 0.5004, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0940, RCNNLoss.rcnn_loss_bbox: 0.1581, SampledMaskLoss.rcnn_loss_mask: 0.2179 [06/20 16:47:28] Vis4D INFO: Epoch 9: 7450/9726, ETA: 0:21:50, 1.74it/s, loss: 0.4526, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.0907, RCNNLoss.rcnn_loss_bbox: 0.1572, SampledMaskLoss.rcnn_loss_mask: 0.1666 [06/20 16:47:57] Vis4D INFO: Epoch 9: 7500/9726, ETA: 0:21:21, 1.74it/s, loss: 0.4377, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0187, RCNNLoss.rcnn_loss_cls: 0.0814, RCNNLoss.rcnn_loss_bbox: 0.1321, SampledMaskLoss.rcnn_loss_mask: 0.1977 [06/20 16:48:27] Vis4D INFO: Epoch 9: 7550/9726, ETA: 0:20:53, 1.74it/s, loss: 0.5397, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.0915, RCNNLoss.rcnn_loss_bbox: 0.1544, SampledMaskLoss.rcnn_loss_mask: 0.2579 [06/20 16:48:57] Vis4D INFO: Epoch 9: 7600/9726, ETA: 0:20:25, 1.74it/s, loss: 0.4598, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0260, RCNNLoss.rcnn_loss_cls: 0.0845, RCNNLoss.rcnn_loss_bbox: 0.1442, SampledMaskLoss.rcnn_loss_mask: 0.1965 [06/20 16:49:28] Vis4D INFO: Epoch 9: 7650/9726, ETA: 0:19:56, 1.73it/s, loss: 0.4641, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0809, RCNNLoss.rcnn_loss_bbox: 0.1410, SampledMaskLoss.rcnn_loss_mask: 0.2125 [06/20 16:50:01] Vis4D INFO: Epoch 9: 7700/9726, ETA: 0:19:28, 1.73it/s, loss: 0.4630, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0883, RCNNLoss.rcnn_loss_bbox: 0.1489, SampledMaskLoss.rcnn_loss_mask: 0.1964 [06/20 16:50:39] Vis4D INFO: Epoch 9: 7750/9726, ETA: 0:19:02, 1.73it/s, loss: 0.5422, RPNLoss.loss_cls: 0.0096, RPNLoss.loss_bbox: 0.0266, RCNNLoss.rcnn_loss_cls: 0.1060, RCNNLoss.rcnn_loss_bbox: 0.1709, SampledMaskLoss.rcnn_loss_mask: 0.2290 [06/20 16:51:16] Vis4D INFO: Epoch 9: 7800/9726, ETA: 0:18:35, 1.73it/s, loss: 0.4588, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0243, RCNNLoss.rcnn_loss_cls: 0.0865, RCNNLoss.rcnn_loss_bbox: 0.1438, SampledMaskLoss.rcnn_loss_mask: 0.1963 [06/20 16:51:51] Vis4D INFO: Epoch 9: 7850/9726, ETA: 0:18:08, 1.72it/s, loss: 0.4484, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0266, RCNNLoss.rcnn_loss_cls: 0.0847, RCNNLoss.rcnn_loss_bbox: 0.1400, SampledMaskLoss.rcnn_loss_mask: 0.1886 [06/20 16:52:28] Vis4D INFO: Epoch 9: 7900/9726, ETA: 0:17:40, 1.72it/s, loss: 0.4774, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0784, RCNNLoss.rcnn_loss_bbox: 0.1353, SampledMaskLoss.rcnn_loss_mask: 0.2324 [06/20 16:53:03] Vis4D INFO: Epoch 9: 7950/9726, ETA: 0:17:13, 1.72it/s, loss: 0.4893, RPNLoss.loss_cls: 0.0151, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.0904, RCNNLoss.rcnn_loss_bbox: 0.1538, SampledMaskLoss.rcnn_loss_mask: 0.2046 [06/20 16:53:39] Vis4D INFO: Epoch 9: 8000/9726, ETA: 0:16:45, 1.72it/s, loss: 0.4735, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.0967, RCNNLoss.rcnn_loss_bbox: 0.1514, SampledMaskLoss.rcnn_loss_mask: 0.1930 [06/20 16:54:15] Vis4D INFO: Epoch 9: 8050/9726, ETA: 0:16:17, 1.71it/s, loss: 0.5139, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0941, RCNNLoss.rcnn_loss_bbox: 0.1546, SampledMaskLoss.rcnn_loss_mask: 0.2334 [06/20 16:54:48] Vis4D INFO: Epoch 9: 8100/9726, ETA: 0:15:49, 1.71it/s, loss: 0.4505, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0864, RCNNLoss.rcnn_loss_bbox: 0.1425, SampledMaskLoss.rcnn_loss_mask: 0.1931 [06/20 16:55:19] Vis4D INFO: Epoch 9: 8150/9726, ETA: 0:15:20, 1.71it/s, loss: 0.4813, RPNLoss.loss_cls: 0.0097, RPNLoss.loss_bbox: 0.0265, RCNNLoss.rcnn_loss_cls: 0.0953, RCNNLoss.rcnn_loss_bbox: 0.1595, SampledMaskLoss.rcnn_loss_mask: 0.1903 [06/20 16:55:50] Vis4D INFO: Epoch 9: 8200/9726, ETA: 0:14:51, 1.71it/s, loss: 0.4773, RPNLoss.loss_cls: 0.0101, RPNLoss.loss_bbox: 0.0236, RCNNLoss.rcnn_loss_cls: 0.0868, RCNNLoss.rcnn_loss_bbox: 0.1462, SampledMaskLoss.rcnn_loss_mask: 0.2106 [06/20 16:56:23] Vis4D INFO: Epoch 9: 8250/9726, ETA: 0:14:23, 1.71it/s, loss: 0.4932, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.0963, RCNNLoss.rcnn_loss_bbox: 0.1608, SampledMaskLoss.rcnn_loss_mask: 0.1998 [06/20 16:56:53] Vis4D INFO: Epoch 9: 8300/9726, ETA: 0:13:54, 1.71it/s, loss: 0.4974, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.0963, RCNNLoss.rcnn_loss_bbox: 0.1566, SampledMaskLoss.rcnn_loss_mask: 0.2089 [06/20 16:57:24] Vis4D INFO: Epoch 9: 8350/9726, ETA: 0:13:25, 1.71it/s, loss: 0.4697, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0803, RCNNLoss.rcnn_loss_bbox: 0.1414, SampledMaskLoss.rcnn_loss_mask: 0.2191 [06/20 16:57:56] Vis4D INFO: Epoch 9: 8400/9726, ETA: 0:12:56, 1.71it/s, loss: 0.4767, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0906, RCNNLoss.rcnn_loss_bbox: 0.1521, SampledMaskLoss.rcnn_loss_mask: 0.2021 [06/20 16:58:26] Vis4D INFO: Epoch 9: 8450/9726, ETA: 0:12:27, 1.71it/s, loss: 0.4504, RPNLoss.loss_cls: 0.0101, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0864, RCNNLoss.rcnn_loss_bbox: 0.1353, SampledMaskLoss.rcnn_loss_mask: 0.1954 [06/20 16:58:55] Vis4D INFO: Epoch 9: 8500/9726, ETA: 0:11:57, 1.71it/s, loss: 0.4860, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0234, RCNNLoss.rcnn_loss_cls: 0.0849, RCNNLoss.rcnn_loss_bbox: 0.1408, SampledMaskLoss.rcnn_loss_mask: 0.2238 [06/20 16:59:27] Vis4D INFO: Epoch 9: 8550/9726, ETA: 0:11:29, 1.71it/s, loss: 0.4342, RPNLoss.loss_cls: 0.0057, RPNLoss.loss_bbox: 0.0181, RCNNLoss.rcnn_loss_cls: 0.0788, RCNNLoss.rcnn_loss_bbox: 0.1391, SampledMaskLoss.rcnn_loss_mask: 0.1926 [06/20 17:00:01] Vis4D INFO: Epoch 9: 8600/9726, ETA: 0:11:00, 1.71it/s, loss: 0.4904, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0241, RCNNLoss.rcnn_loss_cls: 0.0919, RCNNLoss.rcnn_loss_bbox: 0.1473, SampledMaskLoss.rcnn_loss_mask: 0.2179 [06/20 17:00:36] Vis4D INFO: Epoch 9: 8650/9726, ETA: 0:10:31, 1.70it/s, loss: 0.4726, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0198, RCNNLoss.rcnn_loss_cls: 0.0811, RCNNLoss.rcnn_loss_bbox: 0.1361, SampledMaskLoss.rcnn_loss_mask: 0.2280 [06/20 17:01:05] Vis4D INFO: Epoch 9: 8700/9726, ETA: 0:10:02, 1.70it/s, loss: 0.4341, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0197, RCNNLoss.rcnn_loss_cls: 0.0757, RCNNLoss.rcnn_loss_bbox: 0.1264, SampledMaskLoss.rcnn_loss_mask: 0.2044 [06/20 17:01:42] Vis4D INFO: Epoch 9: 8750/9726, ETA: 0:09:33, 1.70it/s, loss: 0.4647, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0235, RCNNLoss.rcnn_loss_cls: 0.0826, RCNNLoss.rcnn_loss_bbox: 0.1431, SampledMaskLoss.rcnn_loss_mask: 0.2063 [06/20 17:02:15] Vis4D INFO: Epoch 9: 8800/9726, ETA: 0:09:04, 1.70it/s, loss: 0.4750, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0760, RCNNLoss.rcnn_loss_bbox: 0.1309, SampledMaskLoss.rcnn_loss_mask: 0.2361 [06/20 17:02:48] Vis4D INFO: Epoch 9: 8850/9726, ETA: 0:08:35, 1.70it/s, loss: 0.4677, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0203, RCNNLoss.rcnn_loss_cls: 0.0929, RCNNLoss.rcnn_loss_bbox: 0.1423, SampledMaskLoss.rcnn_loss_mask: 0.2006 [06/20 17:03:21] Vis4D INFO: Epoch 9: 8900/9726, ETA: 0:08:06, 1.70it/s, loss: 0.4512, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0212, RCNNLoss.rcnn_loss_cls: 0.0830, RCNNLoss.rcnn_loss_bbox: 0.1376, SampledMaskLoss.rcnn_loss_mask: 0.2009 [06/20 17:03:58] Vis4D INFO: Epoch 9: 8950/9726, ETA: 0:07:37, 1.70it/s, loss: 0.4865, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0242, RCNNLoss.rcnn_loss_cls: 0.0859, RCNNLoss.rcnn_loss_bbox: 0.1443, SampledMaskLoss.rcnn_loss_mask: 0.2244 [06/20 17:04:30] Vis4D INFO: Epoch 9: 9000/9726, ETA: 0:07:08, 1.69it/s, loss: 0.4833, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0234, RCNNLoss.rcnn_loss_cls: 0.0901, RCNNLoss.rcnn_loss_bbox: 0.1483, SampledMaskLoss.rcnn_loss_mask: 0.2136 [06/20 17:05:03] Vis4D INFO: Epoch 9: 9050/9726, ETA: 0:06:39, 1.69it/s, loss: 0.4210, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0813, RCNNLoss.rcnn_loss_bbox: 0.1348, SampledMaskLoss.rcnn_loss_mask: 0.1746 [06/20 17:05:38] Vis4D INFO: Epoch 9: 9100/9726, ETA: 0:06:10, 1.69it/s, loss: 0.4567, RPNLoss.loss_cls: 0.0095, RPNLoss.loss_bbox: 0.0219, RCNNLoss.rcnn_loss_cls: 0.0926, RCNNLoss.rcnn_loss_bbox: 0.1553, SampledMaskLoss.rcnn_loss_mask: 0.1773 [06/20 17:06:14] Vis4D INFO: Epoch 9: 9150/9726, ETA: 0:05:40, 1.69it/s, loss: 0.4997, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.0913, RCNNLoss.rcnn_loss_bbox: 0.1603, SampledMaskLoss.rcnn_loss_mask: 0.2145 [06/20 17:06:44] Vis4D INFO: Epoch 9: 9200/9726, ETA: 0:05:11, 1.69it/s, loss: 0.3953, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0176, RCNNLoss.rcnn_loss_cls: 0.0693, RCNNLoss.rcnn_loss_bbox: 0.1221, SampledMaskLoss.rcnn_loss_mask: 0.1803 [06/20 17:07:18] Vis4D INFO: Epoch 9: 9250/9726, ETA: 0:04:41, 1.69it/s, loss: 0.4346, RPNLoss.loss_cls: 0.0053, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0800, RCNNLoss.rcnn_loss_bbox: 0.1366, SampledMaskLoss.rcnn_loss_mask: 0.1912 [06/20 17:07:51] Vis4D INFO: Epoch 9: 9300/9726, ETA: 0:04:12, 1.69it/s, loss: 0.4689, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0864, RCNNLoss.rcnn_loss_bbox: 0.1480, SampledMaskLoss.rcnn_loss_mask: 0.2051 [06/20 17:08:23] Vis4D INFO: Epoch 9: 9350/9726, ETA: 0:03:42, 1.69it/s, loss: 0.4784, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.0924, RCNNLoss.rcnn_loss_bbox: 0.1490, SampledMaskLoss.rcnn_loss_mask: 0.1984 [06/20 17:08:55] Vis4D INFO: Epoch 9: 9400/9726, ETA: 0:03:13, 1.69it/s, loss: 0.4611, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0221, RCNNLoss.rcnn_loss_cls: 0.0867, RCNNLoss.rcnn_loss_bbox: 0.1478, SampledMaskLoss.rcnn_loss_mask: 0.1965 [06/20 17:09:27] Vis4D INFO: Epoch 9: 9450/9726, ETA: 0:02:43, 1.68it/s, loss: 0.4737, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0916, RCNNLoss.rcnn_loss_bbox: 0.1512, SampledMaskLoss.rcnn_loss_mask: 0.2004 [06/20 17:09:58] Vis4D INFO: Epoch 9: 9500/9726, ETA: 0:02:14, 1.68it/s, loss: 0.4151, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0167, RCNNLoss.rcnn_loss_cls: 0.0713, RCNNLoss.rcnn_loss_bbox: 0.1228, SampledMaskLoss.rcnn_loss_mask: 0.1983 [06/20 17:10:30] Vis4D INFO: Epoch 9: 9550/9726, ETA: 0:01:44, 1.68it/s, loss: 0.4514, RPNLoss.loss_cls: 0.0089, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0808, RCNNLoss.rcnn_loss_bbox: 0.1324, SampledMaskLoss.rcnn_loss_mask: 0.2088 [06/20 17:11:01] Vis4D INFO: Epoch 9: 9600/9726, ETA: 0:01:14, 1.68it/s, loss: 0.4593, RPNLoss.loss_cls: 0.0063, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0830, RCNNLoss.rcnn_loss_bbox: 0.1440, SampledMaskLoss.rcnn_loss_mask: 0.2052 [06/20 17:11:33] Vis4D INFO: Epoch 9: 9650/9726, ETA: 0:00:45, 1.68it/s, loss: 0.5204, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.0998, RCNNLoss.rcnn_loss_bbox: 0.1669, SampledMaskLoss.rcnn_loss_mask: 0.2150 [06/20 17:12:05] Vis4D INFO: Epoch 9: 9700/9726, ETA: 0:00:15, 1.68it/s, loss: 0.4531, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0244, RCNNLoss.rcnn_loss_cls: 0.0923, RCNNLoss.rcnn_loss_bbox: 0.1512, SampledMaskLoss.rcnn_loss_mask: 0.1778 [06/20 17:12:40] Vis4D INFO: Testing: 50/1400, ETA: 0:08:50, 2.54it/s [06/20 17:12:57] Vis4D INFO: Testing: 100/1400, ETA: 0:07:52, 2.75it/s [06/20 17:13:09] Vis4D INFO: Testing: 150/1400, ETA: 0:06:43, 3.10it/s [06/20 17:13:22] Vis4D INFO: Testing: 200/1400, ETA: 0:06:10, 3.24it/s [06/20 17:13:38] Vis4D INFO: Testing: 250/1400, ETA: 0:05:53, 3.25it/s [06/20 17:13:48] Vis4D INFO: Testing: 300/1400, ETA: 0:05:19, 3.44it/s [06/20 17:13:58] Vis4D INFO: Testing: 350/1400, ETA: 0:04:51, 3.60it/s [06/20 17:14:14] Vis4D INFO: Testing: 400/1400, ETA: 0:04:42, 3.55it/s [06/20 17:14:29] Vis4D INFO: Testing: 450/1400, ETA: 0:04:31, 3.50it/s [06/20 17:14:41] Vis4D INFO: Testing: 500/1400, ETA: 0:04:12, 3.57it/s [06/20 17:14:54] Vis4D INFO: Testing: 550/1400, ETA: 0:03:57, 3.58it/s [06/20 17:15:15] Vis4D INFO: Testing: 600/1400, ETA: 0:03:51, 3.45it/s [06/20 17:15:31] Vis4D INFO: Testing: 650/1400, ETA: 0:03:39, 3.42it/s [06/20 17:15:42] Vis4D INFO: Testing: 700/1400, ETA: 0:03:21, 3.48it/s [06/20 17:15:57] Vis4D INFO: Testing: 750/1400, ETA: 0:03:07, 3.47it/s [06/20 17:16:07] Vis4D INFO: Testing: 800/1400, ETA: 0:02:49, 3.54it/s [06/20 17:16:21] Vis4D INFO: Testing: 850/1400, ETA: 0:02:35, 3.54it/s [06/20 17:16:32] Vis4D INFO: Testing: 900/1400, ETA: 0:02:19, 3.57it/s [06/20 17:16:50] Vis4D INFO: Testing: 950/1400, ETA: 0:02:07, 3.53it/s [06/20 17:17:01] Vis4D INFO: Testing: 1000/1400, ETA: 0:01:51, 3.57it/s [06/20 17:17:15] Vis4D INFO: Testing: 1050/1400, ETA: 0:01:38, 3.57it/s [06/20 17:17:28] Vis4D INFO: Testing: 1100/1400, ETA: 0:01:23, 3.58it/s [06/20 17:17:46] Vis4D INFO: Testing: 1150/1400, ETA: 0:01:10, 3.53it/s [06/20 17:18:02] Vis4D INFO: Testing: 1200/1400, ETA: 0:00:56, 3.52it/s [06/20 17:18:15] Vis4D INFO: Testing: 1250/1400, ETA: 0:00:42, 3.52it/s [06/20 17:18:26] Vis4D INFO: Testing: 1300/1400, ETA: 0:00:28, 3.56it/s [06/20 17:18:42] Vis4D INFO: Testing: 1350/1400, ETA: 0:00:14, 3.54it/s [06/20 17:18:57] Vis4D INFO: Testing: 1400/1400, ETA: 0:00:00, 3.53it/s [06/20 17:18:57] Vis4D INFO: Running evaluator Scalabel Tracking Evaluator... [06/20 17:19:17] Vis4D INFO: Det/AP: 43.1829 [06/20 17:19:17] Vis4D INFO: Det/AP50: 62.1907 [06/20 17:19:17] Vis4D INFO: Det/AP75: 48.3138 [06/20 17:19:17] Vis4D INFO: Det/APs: 25.7826 [06/20 17:19:17] Vis4D INFO: Det/APm: 70.7288 [06/20 17:19:17] Vis4D INFO: Det/APl: 86.0196 [06/20 17:19:17] Vis4D INFO: Det/AR1: 31.8904 [06/20 17:19:17] Vis4D INFO: Det/AR10: 47.3132 [06/20 17:19:17] Vis4D INFO: Det/AR100: 48.1463 [06/20 17:19:17] Vis4D INFO: Det/ARs: 31.7370 [06/20 17:19:17] Vis4D INFO: Det/ARm: 75.8526 [06/20 17:19:17] Vis4D INFO: Det/ARl: 88.8902 [06/20 17:19:17] Vis4D INFO: Det/AP/pedestrian: 40.8790 [06/20 17:19:17] Vis4D INFO: Det/AP/car: 49.9087 [06/20 17:19:17] Vis4D INFO: Det/AP/truck: 45.6466 [06/20 17:19:17] Vis4D INFO: Det/AP/bus: 40.6234 [06/20 17:19:17] Vis4D INFO: Det/AP/motorcycle: 44.1394 [06/20 17:19:17] Vis4D INFO: Det/AP/bicycle: 37.9001 [06/20 17:19:17] Vis4D INFO: Showing evaluation results for Det [06/20 17:19:17] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl --------------------------------------------------------------------------- pedestrian 40.9 65.6 44.1 31.0 75.9 87.0 12.0 41.0 45.0 36.0 79.9 89.6 car 49.9 67.4 54.7 29.6 71.9 91.7 20.8 53.2 54.2 35.0 76.8 93.9 truck 45.6 65.4 50.6 23.0 67.7 84.8 35.2 50.6 50.6 30.0 72.8 88.3 bus 40.6 59.4 44.8 29.0 76.0 90.2 41.9 47.4 47.4 36.7 81.0 93.2 motorcycle 44.1 60.7 52.1 24.1 74.9 79.0 42.1 48.4 48.4 28.6 79.2 81.3 bicycle 37.9 54.6 43.5 17.9 58.0 83.3 39.4 43.3 43.3 24.0 65.4 87.1 --------------------------------------------------------------------------- OVERALL 43.2 62.2 48.3 25.8 70.7 86.0 31.9 47.3 48.1 31.7 75.9 88.9 [06/20 17:19:39] Vis4D INFO: InsSeg/AP: 0.9686 [06/20 17:19:39] Vis4D INFO: InsSeg/AP50: 1.4413 [06/20 17:19:39] Vis4D INFO: InsSeg/AP75: 0.9964 [06/20 17:19:39] Vis4D INFO: InsSeg/APs: 0.7171 [06/20 17:19:39] Vis4D INFO: InsSeg/APm: 2.0494 [06/20 17:19:39] Vis4D INFO: InsSeg/APl: 2.0614 [06/20 17:19:39] Vis4D INFO: InsSeg/AR1: 0.6598 [06/20 17:19:39] Vis4D INFO: InsSeg/AR10: 0.8196 [06/20 17:19:39] Vis4D INFO: InsSeg/AR100: 0.8212 [06/20 17:19:39] Vis4D INFO: InsSeg/ARs: 0.5578 [06/20 17:19:39] Vis4D INFO: InsSeg/ARm: 1.7927 [06/20 17:19:39] Vis4D INFO: InsSeg/ARl: 1.7096 [06/20 17:19:39] Vis4D INFO: InsSeg/AP/pedestrian: 0.7416 [06/20 17:19:39] Vis4D INFO: InsSeg/AP/car: 1.5911 [06/20 17:19:39] Vis4D INFO: InsSeg/AP/truck: 0.6648 [06/20 17:19:39] Vis4D INFO: InsSeg/AP/bus: 0.4653 [06/20 17:19:39] Vis4D INFO: InsSeg/AP/motorcycle: 1.3785 [06/20 17:19:39] Vis4D INFO: InsSeg/AP/bicycle: 0.9703 [06/20 17:19:39] Vis4D INFO: Showing evaluation results for InsSeg [06/20 17:19:39] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl -------------------------------------------------------------------------- pedestrian 0.7 1.2 1.0 0.7 1.3 2.5 0.2 0.5 0.5 0.4 1.0 2.0 car 1.6 2.2 1.6 1.4 2.7 1.8 1.0 1.6 1.6 1.4 2.4 1.1 truck 0.7 1.0 0.5 0.8 0.6 2.0 0.3 0.3 0.3 0.1 0.4 1.4 bus 0.5 0.5 0.5 0.0 3.7 0.0 0.5 0.5 0.5 0.0 2.9 0.0 motorcycle 1.4 2.0 1.9 1.2 1.9 0.0 1.0 1.2 1.2 1.2 1.5 0.0 bicycle 1.0 1.7 0.5 0.1 2.1 6.1 0.9 0.9 0.9 0.2 2.5 5.6 -------------------------------------------------------------------------- OVERALL 1.0 1.4 1.0 0.7 2.0 2.1 0.7 0.8 0.8 0.6 1.8 1.7 [06/20 17:20:12] Vis4D INFO: Epoch 10: 50/9726, ETA: 1:42:26, 1.57it/s, loss: 0.4367, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0206, RCNNLoss.rcnn_loss_cls: 0.0807, RCNNLoss.rcnn_loss_bbox: 0.1368, SampledMaskLoss.rcnn_loss_mask: 0.1917 [06/20 17:20:42] Vis4D INFO: Epoch 10: 100/9726, ETA: 1:40:19, 1.60it/s, loss: 0.4635, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0910, RCNNLoss.rcnn_loss_bbox: 0.1428, SampledMaskLoss.rcnn_loss_mask: 0.1987 [06/20 17:21:15] Vis4D INFO: Epoch 10: 150/9726, ETA: 1:41:06, 1.58it/s, loss: 0.4853, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.0938, RCNNLoss.rcnn_loss_bbox: 0.1595, SampledMaskLoss.rcnn_loss_mask: 0.1948 [06/20 17:21:43] Vis4D INFO: Epoch 10: 200/9726, ETA: 1:38:04, 1.62it/s, loss: 0.4119, RPNLoss.loss_cls: 0.0090, RPNLoss.loss_bbox: 0.0181, RCNNLoss.rcnn_loss_cls: 0.0737, RCNNLoss.rcnn_loss_bbox: 0.1191, SampledMaskLoss.rcnn_loss_mask: 0.1920 [06/20 17:22:13] Vis4D INFO: Epoch 10: 250/9726, ETA: 1:36:53, 1.63it/s, loss: 0.4712, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0907, RCNNLoss.rcnn_loss_bbox: 0.1547, SampledMaskLoss.rcnn_loss_mask: 0.1937 [06/20 17:22:41] Vis4D INFO: Epoch 10: 300/9726, ETA: 1:34:58, 1.65it/s, loss: 0.4295, RPNLoss.loss_cls: 0.0089, RPNLoss.loss_bbox: 0.0212, RCNNLoss.rcnn_loss_cls: 0.0785, RCNNLoss.rcnn_loss_bbox: 0.1345, SampledMaskLoss.rcnn_loss_mask: 0.1863 [06/20 17:23:12] Vis4D INFO: Epoch 10: 350/9726, ETA: 1:34:35, 1.65it/s, loss: 0.4852, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.0914, RCNNLoss.rcnn_loss_bbox: 0.1559, SampledMaskLoss.rcnn_loss_mask: 0.2023 [06/20 17:23:41] Vis4D INFO: Epoch 10: 400/9726, ETA: 1:33:37, 1.66it/s, loss: 0.4831, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0257, RCNNLoss.rcnn_loss_cls: 0.0972, RCNNLoss.rcnn_loss_bbox: 0.1483, SampledMaskLoss.rcnn_loss_mask: 0.2026 [06/20 17:24:10] Vis4D INFO: Epoch 10: 450/9726, ETA: 1:32:45, 1.67it/s, loss: 0.4161, RPNLoss.loss_cls: 0.0067, RPNLoss.loss_bbox: 0.0191, RCNNLoss.rcnn_loss_cls: 0.0722, RCNNLoss.rcnn_loss_bbox: 0.1213, SampledMaskLoss.rcnn_loss_mask: 0.1968 [06/20 17:24:39] Vis4D INFO: Epoch 10: 500/9726, ETA: 1:32:02, 1.67it/s, loss: 0.4741, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0211, RCNNLoss.rcnn_loss_cls: 0.0851, RCNNLoss.rcnn_loss_bbox: 0.1491, SampledMaskLoss.rcnn_loss_mask: 0.2110 [06/20 17:25:09] Vis4D INFO: Epoch 10: 550/9726, ETA: 1:31:27, 1.67it/s, loss: 0.4837, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0834, RCNNLoss.rcnn_loss_bbox: 0.1481, SampledMaskLoss.rcnn_loss_mask: 0.2219 [06/20 17:25:39] Vis4D INFO: Epoch 10: 600/9726, ETA: 1:30:59, 1.67it/s, loss: 0.4498, RPNLoss.loss_cls: 0.0087, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0834, RCNNLoss.rcnn_loss_bbox: 0.1381, SampledMaskLoss.rcnn_loss_mask: 0.1990 [06/20 17:26:07] Vis4D INFO: Epoch 10: 650/9726, ETA: 1:30:11, 1.68it/s, loss: 0.4564, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0906, RCNNLoss.rcnn_loss_bbox: 0.1457, SampledMaskLoss.rcnn_loss_mask: 0.1892 [06/20 17:26:38] Vis4D INFO: Epoch 10: 700/9726, ETA: 1:29:53, 1.67it/s, loss: 0.4803, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0244, RCNNLoss.rcnn_loss_cls: 0.0849, RCNNLoss.rcnn_loss_bbox: 0.1513, SampledMaskLoss.rcnn_loss_mask: 0.2126 [06/20 17:27:08] Vis4D INFO: Epoch 10: 750/9726, ETA: 1:29:20, 1.67it/s, loss: 0.4646, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0237, RCNNLoss.rcnn_loss_cls: 0.0848, RCNNLoss.rcnn_loss_bbox: 0.1453, SampledMaskLoss.rcnn_loss_mask: 0.2027 [06/20 17:27:37] Vis4D INFO: Epoch 10: 800/9726, ETA: 1:28:48, 1.68it/s, loss: 0.4381, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0213, RCNNLoss.rcnn_loss_cls: 0.0785, RCNNLoss.rcnn_loss_bbox: 0.1313, SampledMaskLoss.rcnn_loss_mask: 0.2000 [06/20 17:28:08] Vis4D INFO: Epoch 10: 850/9726, ETA: 1:28:20, 1.67it/s, loss: 0.4654, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0812, RCNNLoss.rcnn_loss_bbox: 0.1502, SampledMaskLoss.rcnn_loss_mask: 0.2062 [06/20 17:28:39] Vis4D INFO: Epoch 10: 900/9726, ETA: 1:28:06, 1.67it/s, loss: 0.4520, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0196, RCNNLoss.rcnn_loss_cls: 0.0873, RCNNLoss.rcnn_loss_bbox: 0.1401, SampledMaskLoss.rcnn_loss_mask: 0.1973 [06/20 17:29:11] Vis4D INFO: Epoch 10: 950/9726, ETA: 1:27:52, 1.66it/s, loss: 0.4986, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0235, RCNNLoss.rcnn_loss_cls: 0.0905, RCNNLoss.rcnn_loss_bbox: 0.1524, SampledMaskLoss.rcnn_loss_mask: 0.2251 [06/20 17:29:43] Vis4D INFO: Epoch 10: 1000/9726, ETA: 1:27:43, 1.66it/s, loss: 0.4174, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0223, RCNNLoss.rcnn_loss_cls: 0.0836, RCNNLoss.rcnn_loss_bbox: 0.1381, SampledMaskLoss.rcnn_loss_mask: 0.1659 [06/20 17:30:13] Vis4D INFO: Epoch 10: 1050/9726, ETA: 1:27:11, 1.66it/s, loss: 0.4123, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0853, RCNNLoss.rcnn_loss_bbox: 0.1356, SampledMaskLoss.rcnn_loss_mask: 0.1610 [06/20 17:30:43] Vis4D INFO: Epoch 10: 1100/9726, ETA: 1:26:40, 1.66it/s, loss: 0.4299, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0848, RCNNLoss.rcnn_loss_bbox: 0.1442, SampledMaskLoss.rcnn_loss_mask: 0.1725 [06/20 17:31:14] Vis4D INFO: Epoch 10: 1150/9726, ETA: 1:26:18, 1.66it/s, loss: 0.4234, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0814, RCNNLoss.rcnn_loss_bbox: 0.1364, SampledMaskLoss.rcnn_loss_mask: 0.1758 [06/20 17:31:46] Vis4D INFO: Epoch 10: 1200/9726, ETA: 1:26:00, 1.65it/s, loss: 0.5005, RPNLoss.loss_cls: 0.0099, RPNLoss.loss_bbox: 0.0218, RCNNLoss.rcnn_loss_cls: 0.0891, RCNNLoss.rcnn_loss_bbox: 0.1414, SampledMaskLoss.rcnn_loss_mask: 0.2383 [06/20 17:32:15] Vis4D INFO: Epoch 10: 1250/9726, ETA: 1:25:18, 1.66it/s, loss: 0.4868, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0271, RCNNLoss.rcnn_loss_cls: 0.0976, RCNNLoss.rcnn_loss_bbox: 0.1523, SampledMaskLoss.rcnn_loss_mask: 0.2018 [06/20 17:32:43] Vis4D INFO: Epoch 10: 1300/9726, ETA: 1:24:32, 1.66it/s, loss: 0.4432, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0203, RCNNLoss.rcnn_loss_cls: 0.0792, RCNNLoss.rcnn_loss_bbox: 0.1394, SampledMaskLoss.rcnn_loss_mask: 0.1980 [06/20 17:33:12] Vis4D INFO: Epoch 10: 1350/9726, ETA: 1:24:00, 1.66it/s, loss: 0.4224, RPNLoss.loss_cls: 0.0087, RPNLoss.loss_bbox: 0.0211, RCNNLoss.rcnn_loss_cls: 0.0755, RCNNLoss.rcnn_loss_bbox: 0.1284, SampledMaskLoss.rcnn_loss_mask: 0.1886 [06/20 17:33:42] Vis4D INFO: Epoch 10: 1400/9726, ETA: 1:23:28, 1.66it/s, loss: 0.4303, RPNLoss.loss_cls: 0.0065, RPNLoss.loss_bbox: 0.0226, RCNNLoss.rcnn_loss_cls: 0.0798, RCNNLoss.rcnn_loss_bbox: 0.1415, SampledMaskLoss.rcnn_loss_mask: 0.1798 [06/20 17:34:12] Vis4D INFO: Epoch 10: 1450/9726, ETA: 1:22:58, 1.66it/s, loss: 0.3787, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0163, RCNNLoss.rcnn_loss_cls: 0.0717, RCNNLoss.rcnn_loss_bbox: 0.1239, SampledMaskLoss.rcnn_loss_mask: 0.1602 [06/20 17:34:45] Vis4D INFO: Epoch 10: 1500/9726, ETA: 1:22:40, 1.66it/s, loss: 0.4528, RPNLoss.loss_cls: 0.0089, RPNLoss.loss_bbox: 0.0237, RCNNLoss.rcnn_loss_cls: 0.0871, RCNNLoss.rcnn_loss_bbox: 0.1427, SampledMaskLoss.rcnn_loss_mask: 0.1904 [06/20 17:35:16] Vis4D INFO: Epoch 10: 1550/9726, ETA: 1:22:19, 1.66it/s, loss: 0.4058, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0193, RCNNLoss.rcnn_loss_cls: 0.0775, RCNNLoss.rcnn_loss_bbox: 0.1246, SampledMaskLoss.rcnn_loss_mask: 0.1773 [06/20 17:35:48] Vis4D INFO: Epoch 10: 1600/9726, ETA: 1:21:54, 1.65it/s, loss: 0.4623, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0234, RCNNLoss.rcnn_loss_cls: 0.0987, RCNNLoss.rcnn_loss_bbox: 0.1604, SampledMaskLoss.rcnn_loss_mask: 0.1717 [06/20 17:36:20] Vis4D INFO: Epoch 10: 1650/9726, ETA: 1:21:32, 1.65it/s, loss: 0.4036, RPNLoss.loss_cls: 0.0067, RPNLoss.loss_bbox: 0.0186, RCNNLoss.rcnn_loss_cls: 0.0752, RCNNLoss.rcnn_loss_bbox: 0.1318, SampledMaskLoss.rcnn_loss_mask: 0.1713 [06/20 17:36:50] Vis4D INFO: Epoch 10: 1700/9726, ETA: 1:21:04, 1.65it/s, loss: 0.4531, RPNLoss.loss_cls: 0.0055, RPNLoss.loss_bbox: 0.0212, RCNNLoss.rcnn_loss_cls: 0.0758, RCNNLoss.rcnn_loss_bbox: 0.1393, SampledMaskLoss.rcnn_loss_mask: 0.2113 [06/20 17:37:23] Vis4D INFO: Epoch 10: 1750/9726, ETA: 1:20:46, 1.65it/s, loss: 0.4565, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0841, RCNNLoss.rcnn_loss_bbox: 0.1411, SampledMaskLoss.rcnn_loss_mask: 0.1997 [06/20 17:37:56] Vis4D INFO: Epoch 10: 1800/9726, ETA: 1:20:26, 1.64it/s, loss: 0.4444, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0245, RCNNLoss.rcnn_loss_cls: 0.0839, RCNNLoss.rcnn_loss_bbox: 0.1459, SampledMaskLoss.rcnn_loss_mask: 0.1821 [06/20 17:38:30] Vis4D INFO: Epoch 10: 1850/9726, ETA: 1:20:11, 1.64it/s, loss: 0.5081, RPNLoss.loss_cls: 0.0089, RPNLoss.loss_bbox: 0.0256, RCNNLoss.rcnn_loss_cls: 0.0953, RCNNLoss.rcnn_loss_bbox: 0.1535, SampledMaskLoss.rcnn_loss_mask: 0.2247 [06/20 17:39:02] Vis4D INFO: Epoch 10: 1900/9726, ETA: 1:19:48, 1.63it/s, loss: 0.4230, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0209, RCNNLoss.rcnn_loss_cls: 0.0864, RCNNLoss.rcnn_loss_bbox: 0.1420, SampledMaskLoss.rcnn_loss_mask: 0.1657 [06/20 17:39:36] Vis4D INFO: Epoch 10: 1950/9726, ETA: 1:19:29, 1.63it/s, loss: 0.4144, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0234, RCNNLoss.rcnn_loss_cls: 0.0813, RCNNLoss.rcnn_loss_bbox: 0.1306, SampledMaskLoss.rcnn_loss_mask: 0.1711 [06/20 17:40:13] Vis4D INFO: Epoch 10: 2000/9726, ETA: 1:19:22, 1.62it/s, loss: 0.4557, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0834, RCNNLoss.rcnn_loss_bbox: 0.1427, SampledMaskLoss.rcnn_loss_mask: 0.1974 [06/20 17:40:46] Vis4D INFO: Epoch 10: 2050/9726, ETA: 1:18:59, 1.62it/s, loss: 0.4605, RPNLoss.loss_cls: 0.0100, RPNLoss.loss_bbox: 0.0243, RCNNLoss.rcnn_loss_cls: 0.0872, RCNNLoss.rcnn_loss_bbox: 0.1553, SampledMaskLoss.rcnn_loss_mask: 0.1837 [06/20 17:41:18] Vis4D INFO: Epoch 10: 2100/9726, ETA: 1:18:33, 1.62it/s, loss: 0.4506, RPNLoss.loss_cls: 0.0124, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0756, RCNNLoss.rcnn_loss_bbox: 0.1353, SampledMaskLoss.rcnn_loss_mask: 0.2052 [06/20 17:41:50] Vis4D INFO: Epoch 10: 2150/9726, ETA: 1:18:07, 1.62it/s, loss: 0.4233, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0207, RCNNLoss.rcnn_loss_cls: 0.0762, RCNNLoss.rcnn_loss_bbox: 0.1307, SampledMaskLoss.rcnn_loss_mask: 0.1865 [06/20 17:42:21] Vis4D INFO: Epoch 10: 2200/9726, ETA: 1:17:37, 1.62it/s, loss: 0.4644, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0238, RCNNLoss.rcnn_loss_cls: 0.0834, RCNNLoss.rcnn_loss_bbox: 0.1404, SampledMaskLoss.rcnn_loss_mask: 0.2085 [06/20 17:42:49] Vis4D INFO: Epoch 10: 2250/9726, ETA: 1:16:56, 1.62it/s, loss: 0.4136, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0202, RCNNLoss.rcnn_loss_cls: 0.0761, RCNNLoss.rcnn_loss_bbox: 0.1313, SampledMaskLoss.rcnn_loss_mask: 0.1798 [06/20 17:43:21] Vis4D INFO: Epoch 10: 2300/9726, ETA: 1:16:29, 1.62it/s, loss: 0.4549, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0887, RCNNLoss.rcnn_loss_bbox: 0.1410, SampledMaskLoss.rcnn_loss_mask: 0.1972 [06/20 17:43:51] Vis4D INFO: Epoch 10: 2350/9726, ETA: 1:15:54, 1.62it/s, loss: 0.4743, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.0921, RCNNLoss.rcnn_loss_bbox: 0.1536, SampledMaskLoss.rcnn_loss_mask: 0.1959 [06/20 17:44:20] Vis4D INFO: Epoch 10: 2400/9726, ETA: 1:15:18, 1.62it/s, loss: 0.4812, RPNLoss.loss_cls: 0.0109, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0909, RCNNLoss.rcnn_loss_bbox: 0.1444, SampledMaskLoss.rcnn_loss_mask: 0.2120 [06/20 17:44:51] Vis4D INFO: Epoch 10: 2450/9726, ETA: 1:14:47, 1.62it/s, loss: 0.5243, RPNLoss.loss_cls: 0.0103, RPNLoss.loss_bbox: 0.0290, RCNNLoss.rcnn_loss_cls: 0.1040, RCNNLoss.rcnn_loss_bbox: 0.1635, SampledMaskLoss.rcnn_loss_mask: 0.2176 [06/20 17:45:19] Vis4D INFO: Epoch 10: 2500/9726, ETA: 1:14:07, 1.62it/s, loss: 0.4071, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0186, RCNNLoss.rcnn_loss_cls: 0.0722, RCNNLoss.rcnn_loss_bbox: 0.1182, SampledMaskLoss.rcnn_loss_mask: 0.1901 [06/20 17:45:49] Vis4D INFO: Epoch 10: 2550/9726, ETA: 1:13:34, 1.63it/s, loss: 0.4424, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0219, RCNNLoss.rcnn_loss_cls: 0.0829, RCNNLoss.rcnn_loss_bbox: 0.1380, SampledMaskLoss.rcnn_loss_mask: 0.1927 [06/20 17:46:19] Vis4D INFO: Epoch 10: 2600/9726, ETA: 1:13:01, 1.63it/s, loss: 0.4654, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0234, RCNNLoss.rcnn_loss_cls: 0.0834, RCNNLoss.rcnn_loss_bbox: 0.1400, SampledMaskLoss.rcnn_loss_mask: 0.2097 [06/20 17:46:48] Vis4D INFO: Epoch 10: 2650/9726, ETA: 1:12:28, 1.63it/s, loss: 0.4818, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0232, RCNNLoss.rcnn_loss_cls: 0.0892, RCNNLoss.rcnn_loss_bbox: 0.1510, SampledMaskLoss.rcnn_loss_mask: 0.2112 [06/20 17:47:16] Vis4D INFO: Epoch 10: 2700/9726, ETA: 1:11:50, 1.63it/s, loss: 0.4641, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.0890, RCNNLoss.rcnn_loss_bbox: 0.1498, SampledMaskLoss.rcnn_loss_mask: 0.1918 [06/20 17:47:45] Vis4D INFO: Epoch 10: 2750/9726, ETA: 1:11:14, 1.63it/s, loss: 0.5209, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0259, RCNNLoss.rcnn_loss_cls: 0.0976, RCNNLoss.rcnn_loss_bbox: 0.1600, SampledMaskLoss.rcnn_loss_mask: 0.2294 [06/20 17:48:13] Vis4D INFO: Epoch 10: 2800/9726, ETA: 1:10:37, 1.63it/s, loss: 0.4209, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0217, RCNNLoss.rcnn_loss_cls: 0.0859, RCNNLoss.rcnn_loss_bbox: 0.1491, SampledMaskLoss.rcnn_loss_mask: 0.1564 [06/20 17:48:41] Vis4D INFO: Epoch 10: 2850/9726, ETA: 1:10:00, 1.64it/s, loss: 0.4484, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0841, RCNNLoss.rcnn_loss_bbox: 0.1382, SampledMaskLoss.rcnn_loss_mask: 0.1929 [06/20 17:49:09] Vis4D INFO: Epoch 10: 2900/9726, ETA: 1:09:23, 1.64it/s, loss: 0.4550, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0218, RCNNLoss.rcnn_loss_cls: 0.0806, RCNNLoss.rcnn_loss_bbox: 0.1391, SampledMaskLoss.rcnn_loss_mask: 0.2075 [06/20 17:49:37] Vis4D INFO: Epoch 10: 2950/9726, ETA: 1:08:48, 1.64it/s, loss: 0.4409, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0183, RCNNLoss.rcnn_loss_cls: 0.0794, RCNNLoss.rcnn_loss_bbox: 0.1278, SampledMaskLoss.rcnn_loss_mask: 0.2071 [06/20 17:50:07] Vis4D INFO: Epoch 10: 3000/9726, ETA: 1:08:16, 1.64it/s, loss: 0.4382, RPNLoss.loss_cls: 0.0048, RPNLoss.loss_bbox: 0.0212, RCNNLoss.rcnn_loss_cls: 0.0774, RCNNLoss.rcnn_loss_bbox: 0.1375, SampledMaskLoss.rcnn_loss_mask: 0.1974 [06/20 17:50:37] Vis4D INFO: Epoch 10: 3050/9726, ETA: 1:07:44, 1.64it/s, loss: 0.5147, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.0985, RCNNLoss.rcnn_loss_bbox: 0.1608, SampledMaskLoss.rcnn_loss_mask: 0.2221 [06/20 17:51:05] Vis4D INFO: Epoch 10: 3100/9726, ETA: 1:07:09, 1.64it/s, loss: 0.4304, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0186, RCNNLoss.rcnn_loss_cls: 0.0747, RCNNLoss.rcnn_loss_bbox: 0.1292, SampledMaskLoss.rcnn_loss_mask: 0.2018 [06/20 17:51:33] Vis4D INFO: Epoch 10: 3150/9726, ETA: 1:06:33, 1.65it/s, loss: 0.4151, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0763, RCNNLoss.rcnn_loss_bbox: 0.1327, SampledMaskLoss.rcnn_loss_mask: 0.1771 [06/20 17:52:02] Vis4D INFO: Epoch 10: 3200/9726, ETA: 1:05:59, 1.65it/s, loss: 0.4810, RPNLoss.loss_cls: 0.0058, RPNLoss.loss_bbox: 0.0204, RCNNLoss.rcnn_loss_cls: 0.0783, RCNNLoss.rcnn_loss_bbox: 0.1369, SampledMaskLoss.rcnn_loss_mask: 0.2395 [06/20 17:52:28] Vis4D INFO: Epoch 10: 3250/9726, ETA: 1:05:21, 1.65it/s, loss: 0.5088, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.0952, RCNNLoss.rcnn_loss_bbox: 0.1549, SampledMaskLoss.rcnn_loss_mask: 0.2234 [06/20 17:52:56] Vis4D INFO: Epoch 10: 3300/9726, ETA: 1:04:46, 1.65it/s, loss: 0.4264, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0191, RCNNLoss.rcnn_loss_cls: 0.0753, RCNNLoss.rcnn_loss_bbox: 0.1332, SampledMaskLoss.rcnn_loss_mask: 0.1905 [06/20 17:53:24] Vis4D INFO: Epoch 10: 3350/9726, ETA: 1:04:12, 1.66it/s, loss: 0.4479, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0247, RCNNLoss.rcnn_loss_cls: 0.0890, RCNNLoss.rcnn_loss_bbox: 0.1463, SampledMaskLoss.rcnn_loss_mask: 0.1788 [06/20 17:53:55] Vis4D INFO: Epoch 10: 3400/9726, ETA: 1:03:42, 1.65it/s, loss: 0.4240, RPNLoss.loss_cls: 0.0090, RPNLoss.loss_bbox: 0.0201, RCNNLoss.rcnn_loss_cls: 0.0789, RCNNLoss.rcnn_loss_bbox: 0.1290, SampledMaskLoss.rcnn_loss_mask: 0.1870 [06/20 17:54:24] Vis4D INFO: Epoch 10: 3450/9726, ETA: 1:03:10, 1.66it/s, loss: 0.4764, RPNLoss.loss_cls: 0.0141, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.0967, RCNNLoss.rcnn_loss_bbox: 0.1523, SampledMaskLoss.rcnn_loss_mask: 0.1889 [06/20 17:54:55] Vis4D INFO: Epoch 10: 3500/9726, ETA: 1:02:41, 1.66it/s, loss: 0.4560, RPNLoss.loss_cls: 0.0098, RPNLoss.loss_bbox: 0.0231, RCNNLoss.rcnn_loss_cls: 0.0930, RCNNLoss.rcnn_loss_bbox: 0.1508, SampledMaskLoss.rcnn_loss_mask: 0.1794 [06/20 17:55:24] Vis4D INFO: Epoch 10: 3550/9726, ETA: 1:02:09, 1.66it/s, loss: 0.4742, RPNLoss.loss_cls: 0.0129, RPNLoss.loss_bbox: 0.0225, RCNNLoss.rcnn_loss_cls: 0.0884, RCNNLoss.rcnn_loss_bbox: 0.1385, SampledMaskLoss.rcnn_loss_mask: 0.2119 [06/20 17:55:53] Vis4D INFO: Epoch 10: 3600/9726, ETA: 1:01:38, 1.66it/s, loss: 0.4303, RPNLoss.loss_cls: 0.0090, RPNLoss.loss_bbox: 0.0213, RCNNLoss.rcnn_loss_cls: 0.0794, RCNNLoss.rcnn_loss_bbox: 0.1383, SampledMaskLoss.rcnn_loss_mask: 0.1822 [06/20 17:56:25] Vis4D INFO: Epoch 10: 3650/9726, ETA: 1:01:10, 1.66it/s, loss: 0.4727, RPNLoss.loss_cls: 0.0115, RPNLoss.loss_bbox: 0.0241, RCNNLoss.rcnn_loss_cls: 0.0873, RCNNLoss.rcnn_loss_bbox: 0.1476, SampledMaskLoss.rcnn_loss_mask: 0.2021 [06/20 17:56:57] Vis4D INFO: Epoch 10: 3700/9726, ETA: 1:00:43, 1.65it/s, loss: 0.4784, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0237, RCNNLoss.rcnn_loss_cls: 0.0851, RCNNLoss.rcnn_loss_bbox: 0.1423, SampledMaskLoss.rcnn_loss_mask: 0.2190 [06/20 17:57:27] Vis4D INFO: Epoch 10: 3750/9726, ETA: 1:00:12, 1.65it/s, loss: 0.4984, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0218, RCNNLoss.rcnn_loss_cls: 0.0846, RCNNLoss.rcnn_loss_bbox: 0.1448, SampledMaskLoss.rcnn_loss_mask: 0.2388 [06/20 17:57:58] Vis4D INFO: Epoch 10: 3800/9726, ETA: 0:59:43, 1.65it/s, loss: 0.4375, RPNLoss.loss_cls: 0.0116, RPNLoss.loss_bbox: 0.0268, RCNNLoss.rcnn_loss_cls: 0.0869, RCNNLoss.rcnn_loss_bbox: 0.1340, SampledMaskLoss.rcnn_loss_mask: 0.1781 [06/20 17:58:28] Vis4D INFO: Epoch 10: 3850/9726, ETA: 0:59:13, 1.65it/s, loss: 0.3949, RPNLoss.loss_cls: 0.0068, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0729, RCNNLoss.rcnn_loss_bbox: 0.1266, SampledMaskLoss.rcnn_loss_mask: 0.1678 [06/20 17:58:57] Vis4D INFO: Epoch 10: 3900/9726, ETA: 0:58:41, 1.65it/s, loss: 0.4693, RPNLoss.loss_cls: 0.0096, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0839, RCNNLoss.rcnn_loss_bbox: 0.1428, SampledMaskLoss.rcnn_loss_mask: 0.2080 [06/20 17:59:27] Vis4D INFO: Epoch 10: 3950/9726, ETA: 0:58:10, 1.65it/s, loss: 0.4690, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0223, RCNNLoss.rcnn_loss_cls: 0.0872, RCNNLoss.rcnn_loss_bbox: 0.1439, SampledMaskLoss.rcnn_loss_mask: 0.2091 [06/20 17:59:57] Vis4D INFO: Epoch 10: 4000/9726, ETA: 0:57:40, 1.65it/s, loss: 0.3950, RPNLoss.loss_cls: 0.0103, RPNLoss.loss_bbox: 0.0184, RCNNLoss.rcnn_loss_cls: 0.0779, RCNNLoss.rcnn_loss_bbox: 0.1277, SampledMaskLoss.rcnn_loss_mask: 0.1607 [06/20 18:00:28] Vis4D INFO: Epoch 10: 4050/9726, ETA: 0:57:10, 1.65it/s, loss: 0.4487, RPNLoss.loss_cls: 0.0096, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.0901, RCNNLoss.rcnn_loss_bbox: 0.1541, SampledMaskLoss.rcnn_loss_mask: 0.1684 [06/20 18:00:57] Vis4D INFO: Epoch 10: 4100/9726, ETA: 0:56:38, 1.66it/s, loss: 0.3915, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0187, RCNNLoss.rcnn_loss_cls: 0.0753, RCNNLoss.rcnn_loss_bbox: 0.1309, SampledMaskLoss.rcnn_loss_mask: 0.1586 [06/20 18:01:28] Vis4D INFO: Epoch 10: 4150/9726, ETA: 0:56:09, 1.65it/s, loss: 0.5152, RPNLoss.loss_cls: 0.0100, RPNLoss.loss_bbox: 0.0261, RCNNLoss.rcnn_loss_cls: 0.0913, RCNNLoss.rcnn_loss_bbox: 0.1492, SampledMaskLoss.rcnn_loss_mask: 0.2386 [06/20 18:01:56] Vis4D INFO: Epoch 10: 4200/9726, ETA: 0:55:37, 1.66it/s, loss: 0.4644, RPNLoss.loss_cls: 0.0054, RPNLoss.loss_bbox: 0.0182, RCNNLoss.rcnn_loss_cls: 0.0761, RCNNLoss.rcnn_loss_bbox: 0.1333, SampledMaskLoss.rcnn_loss_mask: 0.2312 [06/20 18:02:26] Vis4D INFO: Epoch 10: 4250/9726, ETA: 0:55:06, 1.66it/s, loss: 0.4314, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0180, RCNNLoss.rcnn_loss_cls: 0.0812, RCNNLoss.rcnn_loss_bbox: 0.1354, SampledMaskLoss.rcnn_loss_mask: 0.1897 [06/20 18:02:54] Vis4D INFO: Epoch 10: 4300/9726, ETA: 0:54:33, 1.66it/s, loss: 0.4539, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0252, RCNNLoss.rcnn_loss_cls: 0.0800, RCNNLoss.rcnn_loss_bbox: 0.1398, SampledMaskLoss.rcnn_loss_mask: 0.2030 [06/20 18:03:22] Vis4D INFO: Epoch 10: 4350/9726, ETA: 0:54:01, 1.66it/s, loss: 0.4644, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0872, RCNNLoss.rcnn_loss_bbox: 0.1429, SampledMaskLoss.rcnn_loss_mask: 0.2051 [06/20 18:03:51] Vis4D INFO: Epoch 10: 4400/9726, ETA: 0:53:29, 1.66it/s, loss: 0.4490, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0754, RCNNLoss.rcnn_loss_bbox: 0.1353, SampledMaskLoss.rcnn_loss_mask: 0.2099 [06/20 18:04:19] Vis4D INFO: Epoch 10: 4450/9726, ETA: 0:52:56, 1.66it/s, loss: 0.4289, RPNLoss.loss_cls: 0.0063, RPNLoss.loss_bbox: 0.0210, RCNNLoss.rcnn_loss_cls: 0.0708, RCNNLoss.rcnn_loss_bbox: 0.1285, SampledMaskLoss.rcnn_loss_mask: 0.2024 [06/20 18:04:48] Vis4D INFO: Epoch 10: 4500/9726, ETA: 0:52:25, 1.66it/s, loss: 0.4529, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0221, RCNNLoss.rcnn_loss_cls: 0.0829, RCNNLoss.rcnn_loss_bbox: 0.1412, SampledMaskLoss.rcnn_loss_mask: 0.1997 [06/20 18:05:17] Vis4D INFO: Epoch 10: 4550/9726, ETA: 0:51:53, 1.66it/s, loss: 0.4931, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0254, RCNNLoss.rcnn_loss_cls: 0.0853, RCNNLoss.rcnn_loss_bbox: 0.1461, SampledMaskLoss.rcnn_loss_mask: 0.2293 [06/20 18:05:45] Vis4D INFO: Epoch 10: 4600/9726, ETA: 0:51:21, 1.66it/s, loss: 0.4817, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.0915, RCNNLoss.rcnn_loss_bbox: 0.1430, SampledMaskLoss.rcnn_loss_mask: 0.2141 [06/20 18:06:15] Vis4D INFO: Epoch 10: 4650/9726, ETA: 0:50:51, 1.66it/s, loss: 0.4157, RPNLoss.loss_cls: 0.0055, RPNLoss.loss_bbox: 0.0185, RCNNLoss.rcnn_loss_cls: 0.0751, RCNNLoss.rcnn_loss_bbox: 0.1280, SampledMaskLoss.rcnn_loss_mask: 0.1886 [06/20 18:06:44] Vis4D INFO: Epoch 10: 4700/9726, ETA: 0:50:20, 1.66it/s, loss: 0.4679, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0209, RCNNLoss.rcnn_loss_cls: 0.0853, RCNNLoss.rcnn_loss_bbox: 0.1440, SampledMaskLoss.rcnn_loss_mask: 0.2096 [06/20 18:07:15] Vis4D INFO: Epoch 10: 4750/9726, ETA: 0:49:50, 1.66it/s, loss: 0.4319, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0787, RCNNLoss.rcnn_loss_bbox: 0.1390, SampledMaskLoss.rcnn_loss_mask: 0.1831 [06/20 18:07:44] Vis4D INFO: Epoch 10: 4800/9726, ETA: 0:49:19, 1.66it/s, loss: 0.5279, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0257, RCNNLoss.rcnn_loss_cls: 0.0953, RCNNLoss.rcnn_loss_bbox: 0.1579, SampledMaskLoss.rcnn_loss_mask: 0.2383 [06/20 18:08:14] Vis4D INFO: Epoch 10: 4850/9726, ETA: 0:48:49, 1.66it/s, loss: 0.4305, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0239, RCNNLoss.rcnn_loss_cls: 0.0781, RCNNLoss.rcnn_loss_bbox: 0.1322, SampledMaskLoss.rcnn_loss_mask: 0.1885 [06/20 18:08:45] Vis4D INFO: Epoch 10: 4900/9726, ETA: 0:48:21, 1.66it/s, loss: 0.4382, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0780, RCNNLoss.rcnn_loss_bbox: 0.1299, SampledMaskLoss.rcnn_loss_mask: 0.2012 [06/20 18:09:16] Vis4D INFO: Epoch 10: 4950/9726, ETA: 0:47:51, 1.66it/s, loss: 0.4785, RPNLoss.loss_cls: 0.0095, RPNLoss.loss_bbox: 0.0323, RCNNLoss.rcnn_loss_cls: 0.0973, RCNNLoss.rcnn_loss_bbox: 0.1556, SampledMaskLoss.rcnn_loss_mask: 0.1838 [06/20 18:09:49] Vis4D INFO: Epoch 10: 5000/9726, ETA: 0:47:23, 1.66it/s, loss: 0.4382, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0834, RCNNLoss.rcnn_loss_bbox: 0.1391, SampledMaskLoss.rcnn_loss_mask: 0.1856 [06/20 18:10:21] Vis4D INFO: Epoch 10: 5050/9726, ETA: 0:46:55, 1.66it/s, loss: 0.4220, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0195, RCNNLoss.rcnn_loss_cls: 0.0737, RCNNLoss.rcnn_loss_bbox: 0.1349, SampledMaskLoss.rcnn_loss_mask: 0.1867 [06/20 18:10:54] Vis4D INFO: Epoch 10: 5100/9726, ETA: 0:46:28, 1.66it/s, loss: 0.4408, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0257, RCNNLoss.rcnn_loss_cls: 0.0836, RCNNLoss.rcnn_loss_bbox: 0.1449, SampledMaskLoss.rcnn_loss_mask: 0.1797 [06/20 18:11:26] Vis4D INFO: Epoch 10: 5150/9726, ETA: 0:45:59, 1.66it/s, loss: 0.4408, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0186, RCNNLoss.rcnn_loss_cls: 0.0799, RCNNLoss.rcnn_loss_bbox: 0.1255, SampledMaskLoss.rcnn_loss_mask: 0.2101 [06/20 18:11:59] Vis4D INFO: Epoch 10: 5200/9726, ETA: 0:45:31, 1.66it/s, loss: 0.4936, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.0953, RCNNLoss.rcnn_loss_bbox: 0.1682, SampledMaskLoss.rcnn_loss_mask: 0.1976 [06/20 18:12:29] Vis4D INFO: Epoch 10: 5250/9726, ETA: 0:45:01, 1.66it/s, loss: 0.4376, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0249, RCNNLoss.rcnn_loss_cls: 0.0776, RCNNLoss.rcnn_loss_bbox: 0.1338, SampledMaskLoss.rcnn_loss_mask: 0.1943 [06/20 18:13:02] Vis4D INFO: Epoch 10: 5300/9726, ETA: 0:44:33, 1.66it/s, loss: 0.4997, RPNLoss.loss_cls: 0.0102, RPNLoss.loss_bbox: 0.0266, RCNNLoss.rcnn_loss_cls: 0.0919, RCNNLoss.rcnn_loss_bbox: 0.1502, SampledMaskLoss.rcnn_loss_mask: 0.2209 [06/20 18:13:34] Vis4D INFO: Epoch 10: 5350/9726, ETA: 0:44:05, 1.65it/s, loss: 0.4832, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.0922, RCNNLoss.rcnn_loss_bbox: 0.1523, SampledMaskLoss.rcnn_loss_mask: 0.2025 [06/20 18:14:05] Vis4D INFO: Epoch 10: 5400/9726, ETA: 0:43:36, 1.65it/s, loss: 0.4262, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0196, RCNNLoss.rcnn_loss_cls: 0.0796, RCNNLoss.rcnn_loss_bbox: 0.1317, SampledMaskLoss.rcnn_loss_mask: 0.1861 [06/20 18:14:40] Vis4D INFO: Epoch 10: 5450/9726, ETA: 0:43:08, 1.65it/s, loss: 0.4122, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0769, RCNNLoss.rcnn_loss_bbox: 0.1311, SampledMaskLoss.rcnn_loss_mask: 0.1750 [06/20 18:15:11] Vis4D INFO: Epoch 10: 5500/9726, ETA: 0:42:39, 1.65it/s, loss: 0.4432, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0204, RCNNLoss.rcnn_loss_cls: 0.0860, RCNNLoss.rcnn_loss_bbox: 0.1342, SampledMaskLoss.rcnn_loss_mask: 0.1956 [06/20 18:15:42] Vis4D INFO: Epoch 10: 5550/9726, ETA: 0:42:09, 1.65it/s, loss: 0.4313, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0223, RCNNLoss.rcnn_loss_cls: 0.0764, RCNNLoss.rcnn_loss_bbox: 0.1353, SampledMaskLoss.rcnn_loss_mask: 0.1909 [06/20 18:16:16] Vis4D INFO: Epoch 10: 5600/9726, ETA: 0:41:42, 1.65it/s, loss: 0.4564, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0224, RCNNLoss.rcnn_loss_cls: 0.0785, RCNNLoss.rcnn_loss_bbox: 0.1328, SampledMaskLoss.rcnn_loss_mask: 0.2156 [06/20 18:16:48] Vis4D INFO: Epoch 10: 5650/9726, ETA: 0:41:12, 1.65it/s, loss: 0.4654, RPNLoss.loss_cls: 0.0090, RPNLoss.loss_bbox: 0.0220, RCNNLoss.rcnn_loss_cls: 0.0928, RCNNLoss.rcnn_loss_bbox: 0.1547, SampledMaskLoss.rcnn_loss_mask: 0.1868 [06/20 18:17:20] Vis4D INFO: Epoch 10: 5700/9726, ETA: 0:40:43, 1.65it/s, loss: 0.4429, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0232, RCNNLoss.rcnn_loss_cls: 0.0900, RCNNLoss.rcnn_loss_bbox: 0.1505, SampledMaskLoss.rcnn_loss_mask: 0.1707 [06/20 18:17:50] Vis4D INFO: Epoch 10: 5750/9726, ETA: 0:40:13, 1.65it/s, loss: 0.4666, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0832, RCNNLoss.rcnn_loss_bbox: 0.1402, SampledMaskLoss.rcnn_loss_mask: 0.2124 [06/20 18:18:21] Vis4D INFO: Epoch 10: 5800/9726, ETA: 0:39:43, 1.65it/s, loss: 0.4643, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0850, RCNNLoss.rcnn_loss_bbox: 0.1413, SampledMaskLoss.rcnn_loss_mask: 0.2088 [06/20 18:18:50] Vis4D INFO: Epoch 10: 5850/9726, ETA: 0:39:12, 1.65it/s, loss: 0.4140, RPNLoss.loss_cls: 0.0075, RPNLoss.loss_bbox: 0.0199, RCNNLoss.rcnn_loss_cls: 0.0794, RCNNLoss.rcnn_loss_bbox: 0.1372, SampledMaskLoss.rcnn_loss_mask: 0.1699 [06/20 18:19:20] Vis4D INFO: Epoch 10: 5900/9726, ETA: 0:38:41, 1.65it/s, loss: 0.4554, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0194, RCNNLoss.rcnn_loss_cls: 0.0829, RCNNLoss.rcnn_loss_bbox: 0.1391, SampledMaskLoss.rcnn_loss_mask: 0.2070 [06/20 18:19:50] Vis4D INFO: Epoch 10: 5950/9726, ETA: 0:38:10, 1.65it/s, loss: 0.4962, RPNLoss.loss_cls: 0.0095, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0889, RCNNLoss.rcnn_loss_bbox: 0.1372, SampledMaskLoss.rcnn_loss_mask: 0.2384 [06/20 18:20:21] Vis4D INFO: Epoch 10: 6000/9726, ETA: 0:37:40, 1.65it/s, loss: 0.4280, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0201, RCNNLoss.rcnn_loss_cls: 0.0800, RCNNLoss.rcnn_loss_bbox: 0.1390, SampledMaskLoss.rcnn_loss_mask: 0.1825 [06/20 18:20:52] Vis4D INFO: Epoch 10: 6050/9726, ETA: 0:37:11, 1.65it/s, loss: 0.4598, RPNLoss.loss_cls: 0.0101, RPNLoss.loss_bbox: 0.0226, RCNNLoss.rcnn_loss_cls: 0.0881, RCNNLoss.rcnn_loss_bbox: 0.1577, SampledMaskLoss.rcnn_loss_mask: 0.1814 [06/20 18:21:22] Vis4D INFO: Epoch 10: 6100/9726, ETA: 0:36:40, 1.65it/s, loss: 0.3835, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0194, RCNNLoss.rcnn_loss_cls: 0.0739, RCNNLoss.rcnn_loss_bbox: 0.1263, SampledMaskLoss.rcnn_loss_mask: 0.1561 [06/20 18:21:52] Vis4D INFO: Epoch 10: 6150/9726, ETA: 0:36:10, 1.65it/s, loss: 0.4086, RPNLoss.loss_cls: 0.0067, RPNLoss.loss_bbox: 0.0172, RCNNLoss.rcnn_loss_cls: 0.0750, RCNNLoss.rcnn_loss_bbox: 0.1247, SampledMaskLoss.rcnn_loss_mask: 0.1850 [06/20 18:22:28] Vis4D INFO: Epoch 10: 6200/9726, ETA: 0:35:42, 1.65it/s, loss: 0.4615, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0200, RCNNLoss.rcnn_loss_cls: 0.0831, RCNNLoss.rcnn_loss_bbox: 0.1376, SampledMaskLoss.rcnn_loss_mask: 0.2129 [06/20 18:23:01] Vis4D INFO: Epoch 10: 6250/9726, ETA: 0:35:13, 1.64it/s, loss: 0.4425, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0221, RCNNLoss.rcnn_loss_cls: 0.0812, RCNNLoss.rcnn_loss_bbox: 0.1427, SampledMaskLoss.rcnn_loss_mask: 0.1904 [06/20 18:23:36] Vis4D INFO: Epoch 10: 6300/9726, ETA: 0:34:45, 1.64it/s, loss: 0.4255, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0791, RCNNLoss.rcnn_loss_bbox: 0.1357, SampledMaskLoss.rcnn_loss_mask: 0.1818 [06/20 18:24:14] Vis4D INFO: Epoch 10: 6350/9726, ETA: 0:34:19, 1.64it/s, loss: 0.4290, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0220, RCNNLoss.rcnn_loss_cls: 0.0835, RCNNLoss.rcnn_loss_bbox: 0.1386, SampledMaskLoss.rcnn_loss_mask: 0.1779 [06/20 18:24:47] Vis4D INFO: Epoch 10: 6400/9726, ETA: 0:33:50, 1.64it/s, loss: 0.4292, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0213, RCNNLoss.rcnn_loss_cls: 0.0836, RCNNLoss.rcnn_loss_bbox: 0.1435, SampledMaskLoss.rcnn_loss_mask: 0.1727 [06/20 18:25:21] Vis4D INFO: Epoch 10: 6450/9726, ETA: 0:33:21, 1.64it/s, loss: 0.4264, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0763, RCNNLoss.rcnn_loss_bbox: 0.1226, SampledMaskLoss.rcnn_loss_mask: 0.1993 [06/20 18:25:57] Vis4D INFO: Epoch 10: 6500/9726, ETA: 0:32:54, 1.63it/s, loss: 0.4856, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0901, RCNNLoss.rcnn_loss_bbox: 0.1549, SampledMaskLoss.rcnn_loss_mask: 0.2074 [06/20 18:26:36] Vis4D INFO: Epoch 10: 6550/9726, ETA: 0:32:27, 1.63it/s, loss: 0.4576, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0291, RCNNLoss.rcnn_loss_cls: 0.0932, RCNNLoss.rcnn_loss_bbox: 0.1539, SampledMaskLoss.rcnn_loss_mask: 0.1723 [06/20 18:27:11] Vis4D INFO: Epoch 10: 6600/9726, ETA: 0:31:58, 1.63it/s, loss: 0.4197, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0189, RCNNLoss.rcnn_loss_cls: 0.0825, RCNNLoss.rcnn_loss_bbox: 0.1290, SampledMaskLoss.rcnn_loss_mask: 0.1809 [06/20 18:27:53] Vis4D INFO: Epoch 10: 6650/9726, ETA: 0:31:33, 1.62it/s, loss: 0.5115, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0969, RCNNLoss.rcnn_loss_bbox: 0.1562, SampledMaskLoss.rcnn_loss_mask: 0.2280 [06/20 18:28:35] Vis4D INFO: Epoch 10: 6700/9726, ETA: 0:31:07, 1.62it/s, loss: 0.4479, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0256, RCNNLoss.rcnn_loss_cls: 0.0813, RCNNLoss.rcnn_loss_bbox: 0.1400, SampledMaskLoss.rcnn_loss_mask: 0.1936 [06/20 18:29:15] Vis4D INFO: Epoch 10: 6750/9726, ETA: 0:30:40, 1.62it/s, loss: 0.4407, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0863, RCNNLoss.rcnn_loss_bbox: 0.1395, SampledMaskLoss.rcnn_loss_mask: 0.1836 [06/20 18:29:58] Vis4D INFO: Epoch 10: 6800/9726, ETA: 0:30:14, 1.61it/s, loss: 0.4604, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0792, RCNNLoss.rcnn_loss_bbox: 0.1335, SampledMaskLoss.rcnn_loss_mask: 0.2162 [06/20 18:30:43] Vis4D INFO: Epoch 10: 6850/9726, ETA: 0:29:49, 1.61it/s, loss: 0.4362, RPNLoss.loss_cls: 0.0090, RPNLoss.loss_bbox: 0.0186, RCNNLoss.rcnn_loss_cls: 0.0804, RCNNLoss.rcnn_loss_bbox: 0.1256, SampledMaskLoss.rcnn_loss_mask: 0.2025 [06/20 18:31:24] Vis4D INFO: Epoch 10: 6900/9726, ETA: 0:29:22, 1.60it/s, loss: 0.4837, RPNLoss.loss_cls: 0.0099, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0894, RCNNLoss.rcnn_loss_bbox: 0.1465, SampledMaskLoss.rcnn_loss_mask: 0.2128 [06/20 18:32:01] Vis4D INFO: Epoch 10: 6950/9726, ETA: 0:28:53, 1.60it/s, loss: 0.4877, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.0927, RCNNLoss.rcnn_loss_bbox: 0.1548, SampledMaskLoss.rcnn_loss_mask: 0.2058 [06/20 18:32:44] Vis4D INFO: Epoch 10: 7000/9726, ETA: 0:28:27, 1.60it/s, loss: 0.4519, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0241, RCNNLoss.rcnn_loss_cls: 0.0819, RCNNLoss.rcnn_loss_bbox: 0.1454, SampledMaskLoss.rcnn_loss_mask: 0.1934 [06/20 18:33:26] Vis4D INFO: Epoch 10: 7050/9726, ETA: 0:28:00, 1.59it/s, loss: 0.4397, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0219, RCNNLoss.rcnn_loss_cls: 0.0817, RCNNLoss.rcnn_loss_bbox: 0.1355, SampledMaskLoss.rcnn_loss_mask: 0.1935 [06/20 18:34:09] Vis4D INFO: Epoch 10: 7100/9726, ETA: 0:27:32, 1.59it/s, loss: 0.5498, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0294, RCNNLoss.rcnn_loss_cls: 0.0971, RCNNLoss.rcnn_loss_bbox: 0.1666, SampledMaskLoss.rcnn_loss_mask: 0.2483 [06/20 18:34:48] Vis4D INFO: Epoch 10: 7150/9726, ETA: 0:27:04, 1.59it/s, loss: 0.4174, RPNLoss.loss_cls: 0.0055, RPNLoss.loss_bbox: 0.0200, RCNNLoss.rcnn_loss_cls: 0.0754, RCNNLoss.rcnn_loss_bbox: 0.1271, SampledMaskLoss.rcnn_loss_mask: 0.1894 [06/20 18:35:27] Vis4D INFO: Epoch 10: 7200/9726, ETA: 0:26:35, 1.58it/s, loss: 0.4991, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0249, RCNNLoss.rcnn_loss_cls: 0.0893, RCNNLoss.rcnn_loss_bbox: 0.1588, SampledMaskLoss.rcnn_loss_mask: 0.2187 [06/20 18:36:05] Vis4D INFO: Epoch 10: 7250/9726, ETA: 0:26:05, 1.58it/s, loss: 0.4413, RPNLoss.loss_cls: 0.0073, RPNLoss.loss_bbox: 0.0241, RCNNLoss.rcnn_loss_cls: 0.0805, RCNNLoss.rcnn_loss_bbox: 0.1399, SampledMaskLoss.rcnn_loss_mask: 0.1894 [06/20 18:36:37] Vis4D INFO: Epoch 10: 7300/9726, ETA: 0:25:34, 1.58it/s, loss: 0.4349, RPNLoss.loss_cls: 0.0058, RPNLoss.loss_bbox: 0.0197, RCNNLoss.rcnn_loss_cls: 0.0743, RCNNLoss.rcnn_loss_bbox: 0.1458, SampledMaskLoss.rcnn_loss_mask: 0.1893 [06/20 18:37:17] Vis4D INFO: Epoch 10: 7350/9726, ETA: 0:25:05, 1.58it/s, loss: 0.4574, RPNLoss.loss_cls: 0.0068, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0858, RCNNLoss.rcnn_loss_bbox: 0.1394, SampledMaskLoss.rcnn_loss_mask: 0.2024 [06/20 18:38:03] Vis4D INFO: Epoch 10: 7400/9726, ETA: 0:24:38, 1.57it/s, loss: 0.4545, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0864, RCNNLoss.rcnn_loss_bbox: 0.1469, SampledMaskLoss.rcnn_loss_mask: 0.1903 [06/20 18:38:37] Vis4D INFO: Epoch 10: 7450/9726, ETA: 0:24:07, 1.57it/s, loss: 0.4581, RPNLoss.loss_cls: 0.0100, RPNLoss.loss_bbox: 0.0279, RCNNLoss.rcnn_loss_cls: 0.0940, RCNNLoss.rcnn_loss_bbox: 0.1569, SampledMaskLoss.rcnn_loss_mask: 0.1693 [06/20 18:39:08] Vis4D INFO: Epoch 10: 7500/9726, ETA: 0:23:35, 1.57it/s, loss: 0.4747, RPNLoss.loss_cls: 0.0063, RPNLoss.loss_bbox: 0.0176, RCNNLoss.rcnn_loss_cls: 0.0753, RCNNLoss.rcnn_loss_bbox: 0.1308, SampledMaskLoss.rcnn_loss_mask: 0.2447 [06/20 18:39:40] Vis4D INFO: Epoch 10: 7550/9726, ETA: 0:23:03, 1.57it/s, loss: 0.4868, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0854, RCNNLoss.rcnn_loss_bbox: 0.1403, SampledMaskLoss.rcnn_loss_mask: 0.2279 [06/20 18:40:13] Vis4D INFO: Epoch 10: 7600/9726, ETA: 0:22:31, 1.57it/s, loss: 0.4758, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0869, RCNNLoss.rcnn_loss_bbox: 0.1480, SampledMaskLoss.rcnn_loss_mask: 0.2107 [06/20 18:40:42] Vis4D INFO: Epoch 10: 7650/9726, ETA: 0:21:59, 1.57it/s, loss: 0.4765, RPNLoss.loss_cls: 0.0087, RPNLoss.loss_bbox: 0.0260, RCNNLoss.rcnn_loss_cls: 0.0934, RCNNLoss.rcnn_loss_bbox: 0.1676, SampledMaskLoss.rcnn_loss_mask: 0.1808 [06/20 18:41:13] Vis4D INFO: Epoch 10: 7700/9726, ETA: 0:21:27, 1.57it/s, loss: 0.4730, RPNLoss.loss_cls: 0.0113, RPNLoss.loss_bbox: 0.0239, RCNNLoss.rcnn_loss_cls: 0.0965, RCNNLoss.rcnn_loss_bbox: 0.1546, SampledMaskLoss.rcnn_loss_mask: 0.1866 [06/20 18:41:43] Vis4D INFO: Epoch 10: 7750/9726, ETA: 0:20:55, 1.57it/s, loss: 0.4319, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0237, RCNNLoss.rcnn_loss_cls: 0.0856, RCNNLoss.rcnn_loss_bbox: 0.1389, SampledMaskLoss.rcnn_loss_mask: 0.1751 [06/20 18:42:15] Vis4D INFO: Epoch 10: 7800/9726, ETA: 0:20:23, 1.57it/s, loss: 0.4834, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0245, RCNNLoss.rcnn_loss_cls: 0.0897, RCNNLoss.rcnn_loss_bbox: 0.1493, SampledMaskLoss.rcnn_loss_mask: 0.2108 [06/20 18:42:45] Vis4D INFO: Epoch 10: 7850/9726, ETA: 0:19:51, 1.57it/s, loss: 0.4385, RPNLoss.loss_cls: 0.0094, RPNLoss.loss_bbox: 0.0213, RCNNLoss.rcnn_loss_cls: 0.0854, RCNNLoss.rcnn_loss_bbox: 0.1347, SampledMaskLoss.rcnn_loss_mask: 0.1876 [06/20 18:43:14] Vis4D INFO: Epoch 10: 7900/9726, ETA: 0:19:18, 1.58it/s, loss: 0.4234, RPNLoss.loss_cls: 0.0098, RPNLoss.loss_bbox: 0.0192, RCNNLoss.rcnn_loss_cls: 0.0741, RCNNLoss.rcnn_loss_bbox: 0.1201, SampledMaskLoss.rcnn_loss_mask: 0.2002 [06/20 18:43:44] Vis4D INFO: Epoch 10: 7950/9726, ETA: 0:18:46, 1.58it/s, loss: 0.4781, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0243, RCNNLoss.rcnn_loss_cls: 0.0930, RCNNLoss.rcnn_loss_bbox: 0.1608, SampledMaskLoss.rcnn_loss_mask: 0.1930 [06/20 18:44:16] Vis4D INFO: Epoch 10: 8000/9726, ETA: 0:18:15, 1.58it/s, loss: 0.4110, RPNLoss.loss_cls: 0.0054, RPNLoss.loss_bbox: 0.0190, RCNNLoss.rcnn_loss_cls: 0.0773, RCNNLoss.rcnn_loss_bbox: 0.1316, SampledMaskLoss.rcnn_loss_mask: 0.1777 [06/20 18:44:45] Vis4D INFO: Epoch 10: 8050/9726, ETA: 0:17:42, 1.58it/s, loss: 0.4437, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0181, RCNNLoss.rcnn_loss_cls: 0.0860, RCNNLoss.rcnn_loss_bbox: 0.1357, SampledMaskLoss.rcnn_loss_mask: 0.1964 [06/20 18:45:14] Vis4D INFO: Epoch 10: 8100/9726, ETA: 0:17:10, 1.58it/s, loss: 0.4214, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0811, RCNNLoss.rcnn_loss_bbox: 0.1362, SampledMaskLoss.rcnn_loss_mask: 0.1730 [06/20 18:45:41] Vis4D INFO: Epoch 10: 8150/9726, ETA: 0:16:38, 1.58it/s, loss: 0.4422, RPNLoss.loss_cls: 0.0096, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0801, RCNNLoss.rcnn_loss_bbox: 0.1357, SampledMaskLoss.rcnn_loss_mask: 0.1963 [06/20 18:46:10] Vis4D INFO: Epoch 10: 8200/9726, ETA: 0:16:05, 1.58it/s, loss: 0.4510, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.0854, RCNNLoss.rcnn_loss_bbox: 0.1460, SampledMaskLoss.rcnn_loss_mask: 0.1900 [06/20 18:46:37] Vis4D INFO: Epoch 10: 8250/9726, ETA: 0:15:33, 1.58it/s, loss: 0.4450, RPNLoss.loss_cls: 0.0068, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0802, RCNNLoss.rcnn_loss_bbox: 0.1398, SampledMaskLoss.rcnn_loss_mask: 0.1973 [06/20 18:47:07] Vis4D INFO: Epoch 10: 8300/9726, ETA: 0:15:01, 1.58it/s, loss: 0.4887, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0217, RCNNLoss.rcnn_loss_cls: 0.0875, RCNNLoss.rcnn_loss_bbox: 0.1475, SampledMaskLoss.rcnn_loss_mask: 0.2235 [06/20 18:47:35] Vis4D INFO: Epoch 10: 8350/9726, ETA: 0:14:29, 1.58it/s, loss: 0.3896, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0209, RCNNLoss.rcnn_loss_cls: 0.0745, RCNNLoss.rcnn_loss_bbox: 0.1323, SampledMaskLoss.rcnn_loss_mask: 0.1538 [06/20 18:48:03] Vis4D INFO: Epoch 10: 8400/9726, ETA: 0:13:57, 1.58it/s, loss: 0.3904, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0202, RCNNLoss.rcnn_loss_cls: 0.0683, RCNNLoss.rcnn_loss_bbox: 0.1249, SampledMaskLoss.rcnn_loss_mask: 0.1704 [06/20 18:48:32] Vis4D INFO: Epoch 10: 8450/9726, ETA: 0:13:25, 1.58it/s, loss: 0.5068, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0224, RCNNLoss.rcnn_loss_cls: 0.0951, RCNNLoss.rcnn_loss_bbox: 0.1479, SampledMaskLoss.rcnn_loss_mask: 0.2305 [06/20 18:48:59] Vis4D INFO: Epoch 10: 8500/9726, ETA: 0:12:53, 1.59it/s, loss: 0.4517, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0286, RCNNLoss.rcnn_loss_cls: 0.0867, RCNNLoss.rcnn_loss_bbox: 0.1441, SampledMaskLoss.rcnn_loss_mask: 0.1845 [06/20 18:49:28] Vis4D INFO: Epoch 10: 8550/9726, ETA: 0:12:21, 1.59it/s, loss: 0.4416, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0794, RCNNLoss.rcnn_loss_bbox: 0.1429, SampledMaskLoss.rcnn_loss_mask: 0.1893 [06/20 18:49:55] Vis4D INFO: Epoch 10: 8600/9726, ETA: 0:11:48, 1.59it/s, loss: 0.4749, RPNLoss.loss_cls: 0.0087, RPNLoss.loss_bbox: 0.0238, RCNNLoss.rcnn_loss_cls: 0.0862, RCNNLoss.rcnn_loss_bbox: 0.1403, SampledMaskLoss.rcnn_loss_mask: 0.2159 [06/20 18:50:25] Vis4D INFO: Epoch 10: 8650/9726, ETA: 0:11:17, 1.59it/s, loss: 0.4884, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.1004, RCNNLoss.rcnn_loss_bbox: 0.1652, SampledMaskLoss.rcnn_loss_mask: 0.1870 [06/20 18:50:52] Vis4D INFO: Epoch 10: 8700/9726, ETA: 0:10:45, 1.59it/s, loss: 0.4540, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0235, RCNNLoss.rcnn_loss_cls: 0.0824, RCNNLoss.rcnn_loss_bbox: 0.1462, SampledMaskLoss.rcnn_loss_mask: 0.1939 [06/20 18:51:20] Vis4D INFO: Epoch 10: 8750/9726, ETA: 0:10:13, 1.59it/s, loss: 0.4533, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0791, RCNNLoss.rcnn_loss_bbox: 0.1365, SampledMaskLoss.rcnn_loss_mask: 0.2107 [06/20 18:51:49] Vis4D INFO: Epoch 10: 8800/9726, ETA: 0:09:41, 1.59it/s, loss: 0.4465, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0197, RCNNLoss.rcnn_loss_cls: 0.0829, RCNNLoss.rcnn_loss_bbox: 0.1326, SampledMaskLoss.rcnn_loss_mask: 0.2027 [06/20 18:52:17] Vis4D INFO: Epoch 10: 8850/9726, ETA: 0:09:10, 1.59it/s, loss: 0.4371, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0217, RCNNLoss.rcnn_loss_cls: 0.0807, RCNNLoss.rcnn_loss_bbox: 0.1320, SampledMaskLoss.rcnn_loss_mask: 0.1940 [06/20 18:52:47] Vis4D INFO: Epoch 10: 8900/9726, ETA: 0:08:38, 1.59it/s, loss: 0.4363, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.0938, RCNNLoss.rcnn_loss_bbox: 0.1533, SampledMaskLoss.rcnn_loss_mask: 0.1532 [06/20 18:53:19] Vis4D INFO: Epoch 10: 8950/9726, ETA: 0:08:07, 1.59it/s, loss: 0.4712, RPNLoss.loss_cls: 0.0117, RPNLoss.loss_bbox: 0.0259, RCNNLoss.rcnn_loss_cls: 0.0881, RCNNLoss.rcnn_loss_bbox: 0.1504, SampledMaskLoss.rcnn_loss_mask: 0.1952 [06/20 18:53:48] Vis4D INFO: Epoch 10: 9000/9726, ETA: 0:07:35, 1.59it/s, loss: 0.4705, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0226, RCNNLoss.rcnn_loss_cls: 0.0851, RCNNLoss.rcnn_loss_bbox: 0.1433, SampledMaskLoss.rcnn_loss_mask: 0.2124 [06/20 18:54:17] Vis4D INFO: Epoch 10: 9050/9726, ETA: 0:07:04, 1.59it/s, loss: 0.4623, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0269, RCNNLoss.rcnn_loss_cls: 0.0902, RCNNLoss.rcnn_loss_bbox: 0.1489, SampledMaskLoss.rcnn_loss_mask: 0.1843 [06/20 18:54:44] Vis4D INFO: Epoch 10: 9100/9726, ETA: 0:06:32, 1.60it/s, loss: 0.4252, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0196, RCNNLoss.rcnn_loss_cls: 0.0777, RCNNLoss.rcnn_loss_bbox: 0.1388, SampledMaskLoss.rcnn_loss_mask: 0.1807 [06/20 18:55:12] Vis4D INFO: Epoch 10: 9150/9726, ETA: 0:06:00, 1.60it/s, loss: 0.4239, RPNLoss.loss_cls: 0.0055, RPNLoss.loss_bbox: 0.0210, RCNNLoss.rcnn_loss_cls: 0.0783, RCNNLoss.rcnn_loss_bbox: 0.1350, SampledMaskLoss.rcnn_loss_mask: 0.1841 [06/20 18:55:41] Vis4D INFO: Epoch 10: 9200/9726, ETA: 0:05:29, 1.60it/s, loss: 0.4567, RPNLoss.loss_cls: 0.0089, RPNLoss.loss_bbox: 0.0217, RCNNLoss.rcnn_loss_cls: 0.0889, RCNNLoss.rcnn_loss_bbox: 0.1399, SampledMaskLoss.rcnn_loss_mask: 0.1973 [06/20 18:56:07] Vis4D INFO: Epoch 10: 9250/9726, ETA: 0:04:57, 1.60it/s, loss: 0.4644, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0220, RCNNLoss.rcnn_loss_cls: 0.0841, RCNNLoss.rcnn_loss_bbox: 0.1366, SampledMaskLoss.rcnn_loss_mask: 0.2145 [06/20 18:56:36] Vis4D INFO: Epoch 10: 9300/9726, ETA: 0:04:26, 1.60it/s, loss: 0.5042, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0247, RCNNLoss.rcnn_loss_cls: 0.0908, RCNNLoss.rcnn_loss_bbox: 0.1605, SampledMaskLoss.rcnn_loss_mask: 0.2202 [06/20 18:57:03] Vis4D INFO: Epoch 10: 9350/9726, ETA: 0:03:54, 1.60it/s, loss: 0.4754, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0832, RCNNLoss.rcnn_loss_bbox: 0.1511, SampledMaskLoss.rcnn_loss_mask: 0.2101 [06/20 18:57:32] Vis4D INFO: Epoch 10: 9400/9726, ETA: 0:03:23, 1.60it/s, loss: 0.4277, RPNLoss.loss_cls: 0.0054, RPNLoss.loss_bbox: 0.0184, RCNNLoss.rcnn_loss_cls: 0.0749, RCNNLoss.rcnn_loss_bbox: 0.1324, SampledMaskLoss.rcnn_loss_mask: 0.1967 [06/20 18:58:01] Vis4D INFO: Epoch 10: 9450/9726, ETA: 0:02:52, 1.60it/s, loss: 0.4451, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0206, RCNNLoss.rcnn_loss_cls: 0.0872, RCNNLoss.rcnn_loss_bbox: 0.1450, SampledMaskLoss.rcnn_loss_mask: 0.1844 [06/20 18:58:28] Vis4D INFO: Epoch 10: 9500/9726, ETA: 0:02:21, 1.60it/s, loss: 0.3886, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0201, RCNNLoss.rcnn_loss_cls: 0.0779, RCNNLoss.rcnn_loss_bbox: 0.1316, SampledMaskLoss.rcnn_loss_mask: 0.1505 [06/20 18:58:56] Vis4D INFO: Epoch 10: 9550/9726, ETA: 0:01:49, 1.60it/s, loss: 0.4326, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0787, RCNNLoss.rcnn_loss_bbox: 0.1336, SampledMaskLoss.rcnn_loss_mask: 0.1884 [06/20 18:59:24] Vis4D INFO: Epoch 10: 9600/9726, ETA: 0:01:18, 1.60it/s, loss: 0.4716, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0275, RCNNLoss.rcnn_loss_cls: 0.0906, RCNNLoss.rcnn_loss_bbox: 0.1584, SampledMaskLoss.rcnn_loss_mask: 0.1875 [06/20 18:59:54] Vis4D INFO: Epoch 10: 9650/9726, ETA: 0:00:47, 1.60it/s, loss: 0.4696, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.0958, RCNNLoss.rcnn_loss_bbox: 0.1510, SampledMaskLoss.rcnn_loss_mask: 0.1878 [06/20 19:00:25] Vis4D INFO: Epoch 10: 9700/9726, ETA: 0:00:16, 1.60it/s, loss: 0.4454, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0226, RCNNLoss.rcnn_loss_cls: 0.0806, RCNNLoss.rcnn_loss_bbox: 0.1385, SampledMaskLoss.rcnn_loss_mask: 0.1952 [06/20 19:01:01] Vis4D INFO: Testing: 50/1400, ETA: 0:08:43, 2.58it/s [06/20 19:01:18] Vis4D INFO: Testing: 100/1400, ETA: 0:07:54, 2.74it/s [06/20 19:01:30] Vis4D INFO: Testing: 150/1400, ETA: 0:06:42, 3.10it/s [06/20 19:01:44] Vis4D INFO: Testing: 200/1400, ETA: 0:06:10, 3.24it/s [06/20 19:01:59] Vis4D INFO: Testing: 250/1400, ETA: 0:05:54, 3.24it/s [06/20 19:02:10] Vis4D INFO: Testing: 300/1400, ETA: 0:05:21, 3.42it/s [06/20 19:02:20] Vis4D INFO: Testing: 350/1400, ETA: 0:04:52, 3.59it/s [06/20 19:02:36] Vis4D INFO: Testing: 400/1400, ETA: 0:04:44, 3.52it/s [06/20 19:02:53] Vis4D INFO: Testing: 450/1400, ETA: 0:04:36, 3.44it/s [06/20 19:03:05] Vis4D INFO: Testing: 500/1400, ETA: 0:04:16, 3.50it/s [06/20 19:03:20] Vis4D INFO: Testing: 550/1400, ETA: 0:04:04, 3.48it/s [06/20 19:03:42] Vis4D INFO: Testing: 600/1400, ETA: 0:03:59, 3.34it/s [06/20 19:03:58] Vis4D INFO: Testing: 650/1400, ETA: 0:03:46, 3.32it/s [06/20 19:04:08] Vis4D INFO: Testing: 700/1400, ETA: 0:03:26, 3.39it/s [06/20 19:04:21] Vis4D INFO: Testing: 750/1400, ETA: 0:03:10, 3.42it/s [06/20 19:04:30] Vis4D INFO: Testing: 800/1400, ETA: 0:02:51, 3.50it/s [06/20 19:04:43] Vis4D INFO: Testing: 850/1400, ETA: 0:02:35, 3.53it/s [06/20 19:04:53] Vis4D INFO: Testing: 900/1400, ETA: 0:02:19, 3.58it/s [06/20 19:05:08] Vis4D INFO: Testing: 950/1400, ETA: 0:02:05, 3.57it/s [06/20 19:05:18] Vis4D INFO: Testing: 1000/1400, ETA: 0:01:50, 3.63it/s [06/20 19:05:30] Vis4D INFO: Testing: 1050/1400, ETA: 0:01:36, 3.64it/s [06/20 19:05:42] Vis4D INFO: Testing: 1100/1400, ETA: 0:01:21, 3.67it/s [06/20 19:05:58] Vis4D INFO: Testing: 1150/1400, ETA: 0:01:08, 3.64it/s [06/20 19:06:12] Vis4D INFO: Testing: 1200/1400, ETA: 0:00:54, 3.64it/s [06/20 19:06:24] Vis4D INFO: Testing: 1250/1400, ETA: 0:00:41, 3.65it/s [06/20 19:06:33] Vis4D INFO: Testing: 1300/1400, ETA: 0:00:27, 3.70it/s [06/20 19:06:48] Vis4D INFO: Testing: 1350/1400, ETA: 0:00:13, 3.69it/s [06/20 19:07:01] Vis4D INFO: Testing: 1400/1400, ETA: 0:00:00, 3.69it/s [06/20 19:07:02] Vis4D INFO: Running evaluator Scalabel Tracking Evaluator... [06/20 19:07:15] Vis4D INFO: Det/AP: 43.6669 [06/20 19:07:15] Vis4D INFO: Det/AP50: 62.5071 [06/20 19:07:15] Vis4D INFO: Det/AP75: 49.0391 [06/20 19:07:15] Vis4D INFO: Det/APs: 26.1308 [06/20 19:07:15] Vis4D INFO: Det/APm: 71.1487 [06/20 19:07:15] Vis4D INFO: Det/APl: 87.2190 [06/20 19:07:15] Vis4D INFO: Det/AR1: 32.0322 [06/20 19:07:15] Vis4D INFO: Det/AR10: 47.3876 [06/20 19:07:15] Vis4D INFO: Det/AR100: 48.2312 [06/20 19:07:15] Vis4D INFO: Det/ARs: 31.7215 [06/20 19:07:15] Vis4D INFO: Det/ARm: 75.7775 [06/20 19:07:15] Vis4D INFO: Det/ARl: 89.9131 [06/20 19:07:15] Vis4D INFO: Det/AP/pedestrian: 41.2983 [06/20 19:07:15] Vis4D INFO: Det/AP/car: 50.0777 [06/20 19:07:15] Vis4D INFO: Det/AP/truck: 45.6122 [06/20 19:07:15] Vis4D INFO: Det/AP/bus: 41.2919 [06/20 19:07:15] Vis4D INFO: Det/AP/motorcycle: 45.1485 [06/20 19:07:15] Vis4D INFO: Det/AP/bicycle: 38.5730 [06/20 19:07:15] Vis4D INFO: Showing evaluation results for Det [06/20 19:07:15] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl --------------------------------------------------------------------------- pedestrian 41.3 65.9 44.8 31.4 76.3 87.8 12.0 41.1 45.2 36.2 80.2 90.5 car 50.1 68.3 54.8 29.7 72.7 92.1 20.9 53.5 54.5 35.1 77.4 94.4 truck 45.6 65.1 50.7 22.8 67.9 84.8 34.6 50.0 50.0 29.2 72.3 88.1 bus 41.3 59.8 45.8 29.4 76.5 92.0 42.9 47.8 47.8 37.3 80.5 94.4 motorcycle 45.1 60.9 53.8 24.9 75.2 81.3 42.3 48.6 48.6 28.6 79.0 83.4 bicycle 38.6 55.0 44.4 18.5 58.4 85.4 39.4 43.3 43.3 23.9 65.2 88.7 --------------------------------------------------------------------------- OVERALL 43.7 62.5 49.0 26.1 71.1 87.2 32.0 47.4 48.2 31.7 75.8 89.9 [06/20 19:07:35] Vis4D INFO: InsSeg/AP: 1.2692 [06/20 19:07:35] Vis4D INFO: InsSeg/AP50: 1.7866 [06/20 19:07:35] Vis4D INFO: InsSeg/AP75: 1.3937 [06/20 19:07:35] Vis4D INFO: InsSeg/APs: 0.8142 [06/20 19:07:35] Vis4D INFO: InsSeg/APm: 2.8795 [06/20 19:07:35] Vis4D INFO: InsSeg/APl: 3.8625 [06/20 19:07:35] Vis4D INFO: InsSeg/AR1: 0.9382 [06/20 19:07:35] Vis4D INFO: InsSeg/AR10: 1.1149 [06/20 19:07:35] Vis4D INFO: InsSeg/AR100: 1.1149 [06/20 19:07:35] Vis4D INFO: InsSeg/ARs: 0.6177 [06/20 19:07:35] Vis4D INFO: InsSeg/ARm: 2.7578 [06/20 19:07:35] Vis4D INFO: InsSeg/ARl: 3.5187 [06/20 19:07:35] Vis4D INFO: InsSeg/AP/pedestrian: 0.9246 [06/20 19:07:35] Vis4D INFO: InsSeg/AP/car: 1.6141 [06/20 19:07:35] Vis4D INFO: InsSeg/AP/truck: 0.8911 [06/20 19:07:35] Vis4D INFO: InsSeg/AP/bus: 1.7327 [06/20 19:07:35] Vis4D INFO: InsSeg/AP/motorcycle: 1.3969 [06/20 19:07:35] Vis4D INFO: InsSeg/AP/bicycle: 1.0557 [06/20 19:07:35] Vis4D INFO: Showing evaluation results for InsSeg [06/20 19:07:35] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl -------------------------------------------------------------------------- pedestrian 0.9 1.6 1.0 0.8 2.1 5.3 0.4 0.8 0.8 0.6 2.1 4.7 car 1.6 2.4 1.8 1.3 2.9 1.8 1.0 1.6 1.6 1.3 2.6 1.2 truck 0.9 1.0 1.0 1.0 0.5 3.6 0.7 0.7 0.7 0.3 0.4 3.4 bus 1.7 1.9 1.9 0.3 7.8 2.7 1.6 1.6 1.6 0.3 8.1 2.6 motorcycle 1.4 1.9 1.9 1.2 2.2 1.6 1.2 1.3 1.3 1.1 2.0 1.0 bicycle 1.1 1.9 0.8 0.3 1.7 8.2 0.8 0.8 0.8 0.1 1.4 8.2 -------------------------------------------------------------------------- OVERALL 1.3 1.8 1.4 0.8 2.9 3.9 0.9 1.1 1.1 0.6 2.8 3.5 [06/20 19:08:05] Vis4D INFO: Epoch 11: 50/9726, ETA: 1:32:59, 1.73it/s, loss: 0.4436, RPNLoss.loss_cls: 0.0073, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0814, RCNNLoss.rcnn_loss_bbox: 0.1395, SampledMaskLoss.rcnn_loss_mask: 0.1932 [06/20 19:08:34] Vis4D INFO: Epoch 11: 100/9726, ETA: 1:32:01, 1.74it/s, loss: 0.4029, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0232, RCNNLoss.rcnn_loss_cls: 0.0840, RCNNLoss.rcnn_loss_bbox: 0.1413, SampledMaskLoss.rcnn_loss_mask: 0.1468 [06/20 19:09:02] Vis4D INFO: Epoch 11: 150/9726, ETA: 1:31:30, 1.74it/s, loss: 0.4565, RPNLoss.loss_cls: 0.0058, RPNLoss.loss_bbox: 0.0209, RCNNLoss.rcnn_loss_cls: 0.0832, RCNNLoss.rcnn_loss_bbox: 0.1384, SampledMaskLoss.rcnn_loss_mask: 0.2081 [06/20 19:09:31] Vis4D INFO: Epoch 11: 200/9726, ETA: 1:30:56, 1.75it/s, loss: 0.4182, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0218, RCNNLoss.rcnn_loss_cls: 0.0764, RCNNLoss.rcnn_loss_bbox: 0.1347, SampledMaskLoss.rcnn_loss_mask: 0.1771 [06/20 19:09:59] Vis4D INFO: Epoch 11: 250/9726, ETA: 1:30:16, 1.75it/s, loss: 0.4705, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0260, RCNNLoss.rcnn_loss_cls: 0.0921, RCNNLoss.rcnn_loss_bbox: 0.1591, SampledMaskLoss.rcnn_loss_mask: 0.1840 [06/20 19:10:39] Vis4D INFO: Epoch 11: 300/9726, ETA: 1:35:20, 1.65it/s, loss: 0.4241, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0809, RCNNLoss.rcnn_loss_bbox: 0.1328, SampledMaskLoss.rcnn_loss_mask: 0.1812 [06/20 19:11:22] Vis4D INFO: Epoch 11: 350/9726, ETA: 1:40:43, 1.55it/s, loss: 0.4462, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0225, RCNNLoss.rcnn_loss_cls: 0.0830, RCNNLoss.rcnn_loss_bbox: 0.1442, SampledMaskLoss.rcnn_loss_mask: 0.1895 [06/20 19:11:56] Vis4D INFO: Epoch 11: 400/9726, ETA: 1:40:57, 1.54it/s, loss: 0.4433, RPNLoss.loss_cls: 0.0090, RPNLoss.loss_bbox: 0.0268, RCNNLoss.rcnn_loss_cls: 0.0812, RCNNLoss.rcnn_loss_bbox: 0.1446, SampledMaskLoss.rcnn_loss_mask: 0.1817 [06/20 19:12:41] Vis4D INFO: Epoch 11: 450/9726, ETA: 1:44:42, 1.48it/s, loss: 0.4146, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0193, RCNNLoss.rcnn_loss_cls: 0.0737, RCNNLoss.rcnn_loss_bbox: 0.1355, SampledMaskLoss.rcnn_loss_mask: 0.1800 [06/20 19:13:19] Vis4D INFO: Epoch 11: 500/9726, ETA: 1:45:13, 1.46it/s, loss: 0.4574, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0254, RCNNLoss.rcnn_loss_cls: 0.0896, RCNNLoss.rcnn_loss_bbox: 0.1523, SampledMaskLoss.rcnn_loss_mask: 0.1812 [06/20 19:13:54] Vis4D INFO: Epoch 11: 550/9726, ETA: 1:45:04, 1.46it/s, loss: 0.3524, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0153, RCNNLoss.rcnn_loss_cls: 0.0690, RCNNLoss.rcnn_loss_bbox: 0.1080, SampledMaskLoss.rcnn_loss_mask: 0.1527 [06/20 19:14:28] Vis4D INFO: Epoch 11: 600/9726, ETA: 1:44:23, 1.46it/s, loss: 0.4019, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0709, RCNNLoss.rcnn_loss_bbox: 0.1297, SampledMaskLoss.rcnn_loss_mask: 0.1706 [06/20 19:15:08] Vis4D INFO: Epoch 11: 650/9726, ETA: 1:45:02, 1.44it/s, loss: 0.3992, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0209, RCNNLoss.rcnn_loss_cls: 0.0855, RCNNLoss.rcnn_loss_bbox: 0.1355, SampledMaskLoss.rcnn_loss_mask: 0.1488 [06/20 19:15:41] Vis4D INFO: Epoch 11: 700/9726, ETA: 1:44:12, 1.44it/s, loss: 0.3967, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0738, RCNNLoss.rcnn_loss_bbox: 0.1308, SampledMaskLoss.rcnn_loss_mask: 0.1655 [06/20 19:16:16] Vis4D INFO: Epoch 11: 750/9726, ETA: 1:43:35, 1.44it/s, loss: 0.4600, RPNLoss.loss_cls: 0.0126, RPNLoss.loss_bbox: 0.0243, RCNNLoss.rcnn_loss_cls: 0.0943, RCNNLoss.rcnn_loss_bbox: 0.1459, SampledMaskLoss.rcnn_loss_mask: 0.1829 [06/20 19:16:52] Vis4D INFO: Epoch 11: 800/9726, ETA: 1:43:23, 1.44it/s, loss: 0.4485, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0210, RCNNLoss.rcnn_loss_cls: 0.0818, RCNNLoss.rcnn_loss_bbox: 0.1417, SampledMaskLoss.rcnn_loss_mask: 0.1974 [06/20 19:17:27] Vis4D INFO: Epoch 11: 850/9726, ETA: 1:42:48, 1.44it/s, loss: 0.3886, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0731, RCNNLoss.rcnn_loss_bbox: 0.1216, SampledMaskLoss.rcnn_loss_mask: 0.1665 [06/20 19:18:01] Vis4D INFO: Epoch 11: 900/9726, ETA: 1:42:09, 1.44it/s, loss: 0.4161, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0182, RCNNLoss.rcnn_loss_cls: 0.0769, RCNNLoss.rcnn_loss_bbox: 0.1258, SampledMaskLoss.rcnn_loss_mask: 0.1875 [06/20 19:18:37] Vis4D INFO: Epoch 11: 950/9726, ETA: 1:41:40, 1.44it/s, loss: 0.4375, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0209, RCNNLoss.rcnn_loss_cls: 0.0859, RCNNLoss.rcnn_loss_bbox: 0.1463, SampledMaskLoss.rcnn_loss_mask: 0.1785 [06/20 19:19:10] Vis4D INFO: Epoch 11: 1000/9726, ETA: 1:40:49, 1.44it/s, loss: 0.4300, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0723, RCNNLoss.rcnn_loss_bbox: 0.1253, SampledMaskLoss.rcnn_loss_mask: 0.2056 [06/20 19:19:43] Vis4D INFO: Epoch 11: 1050/9726, ETA: 1:40:03, 1.45it/s, loss: 0.4145, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0183, RCNNLoss.rcnn_loss_cls: 0.0796, RCNNLoss.rcnn_loss_bbox: 0.1316, SampledMaskLoss.rcnn_loss_mask: 0.1780 [06/20 19:20:22] Vis4D INFO: Epoch 11: 1100/9726, ETA: 1:40:03, 1.44it/s, loss: 0.4306, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0220, RCNNLoss.rcnn_loss_cls: 0.0848, RCNNLoss.rcnn_loss_bbox: 0.1457, SampledMaskLoss.rcnn_loss_mask: 0.1716 [06/20 19:21:06] Vis4D INFO: Epoch 11: 1150/9726, ETA: 1:40:34, 1.42it/s, loss: 0.4238, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0187, RCNNLoss.rcnn_loss_cls: 0.0763, RCNNLoss.rcnn_loss_bbox: 0.1246, SampledMaskLoss.rcnn_loss_mask: 0.1980 [06/20 19:21:43] Vis4D INFO: Epoch 11: 1200/9726, ETA: 1:40:11, 1.42it/s, loss: 0.4270, RPNLoss.loss_cls: 0.0087, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.0812, RCNNLoss.rcnn_loss_bbox: 0.1428, SampledMaskLoss.rcnn_loss_mask: 0.1686 [06/20 19:22:16] Vis4D INFO: Epoch 11: 1250/9726, ETA: 1:39:26, 1.42it/s, loss: 0.3954, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0220, RCNNLoss.rcnn_loss_cls: 0.0736, RCNNLoss.rcnn_loss_bbox: 0.1305, SampledMaskLoss.rcnn_loss_mask: 0.1623 [06/20 19:22:51] Vis4D INFO: Epoch 11: 1300/9726, ETA: 1:38:45, 1.42it/s, loss: 0.4673, RPNLoss.loss_cls: 0.0097, RPNLoss.loss_bbox: 0.0239, RCNNLoss.rcnn_loss_cls: 0.0855, RCNNLoss.rcnn_loss_bbox: 0.1385, SampledMaskLoss.rcnn_loss_mask: 0.2097 [06/20 19:23:26] Vis4D INFO: Epoch 11: 1350/9726, ETA: 1:38:09, 1.42it/s, loss: 0.4664, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0239, RCNNLoss.rcnn_loss_cls: 0.0897, RCNNLoss.rcnn_loss_bbox: 0.1509, SampledMaskLoss.rcnn_loss_mask: 0.1914 [06/20 19:24:02] Vis4D INFO: Epoch 11: 1400/9726, ETA: 1:37:40, 1.42it/s, loss: 0.4108, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0207, RCNNLoss.rcnn_loss_cls: 0.0759, RCNNLoss.rcnn_loss_bbox: 0.1273, SampledMaskLoss.rcnn_loss_mask: 0.1779 [06/20 19:24:36] Vis4D INFO: Epoch 11: 1450/9726, ETA: 1:36:56, 1.42it/s, loss: 0.4255, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0191, RCNNLoss.rcnn_loss_cls: 0.0770, RCNNLoss.rcnn_loss_bbox: 0.1262, SampledMaskLoss.rcnn_loss_mask: 0.1960 [06/20 19:25:16] Vis4D INFO: Epoch 11: 1500/9726, ETA: 1:36:51, 1.42it/s, loss: 0.4125, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0210, RCNNLoss.rcnn_loss_cls: 0.0785, RCNNLoss.rcnn_loss_bbox: 0.1402, SampledMaskLoss.rcnn_loss_mask: 0.1668 [06/20 19:25:48] Vis4D INFO: Epoch 11: 1550/9726, ETA: 1:35:56, 1.42it/s, loss: 0.4205, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0829, RCNNLoss.rcnn_loss_bbox: 0.1389, SampledMaskLoss.rcnn_loss_mask: 0.1679 [06/20 19:26:23] Vis4D INFO: Epoch 11: 1600/9726, ETA: 1:35:22, 1.42it/s, loss: 0.4144, RPNLoss.loss_cls: 0.0095, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.0885, RCNNLoss.rcnn_loss_bbox: 0.1454, SampledMaskLoss.rcnn_loss_mask: 0.1460 [06/20 19:27:03] Vis4D INFO: Epoch 11: 1650/9726, ETA: 1:35:11, 1.41it/s, loss: 0.4209, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0191, RCNNLoss.rcnn_loss_cls: 0.0831, RCNNLoss.rcnn_loss_bbox: 0.1414, SampledMaskLoss.rcnn_loss_mask: 0.1711 [06/20 19:27:38] Vis4D INFO: Epoch 11: 1700/9726, ETA: 1:34:34, 1.41it/s, loss: 0.4900, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0922, RCNNLoss.rcnn_loss_bbox: 0.1581, SampledMaskLoss.rcnn_loss_mask: 0.2060 [06/20 19:28:11] Vis4D INFO: Epoch 11: 1750/9726, ETA: 1:33:45, 1.42it/s, loss: 0.4346, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0217, RCNNLoss.rcnn_loss_cls: 0.0844, RCNNLoss.rcnn_loss_bbox: 0.1416, SampledMaskLoss.rcnn_loss_mask: 0.1797 [06/20 19:28:46] Vis4D INFO: Epoch 11: 1800/9726, ETA: 1:33:08, 1.42it/s, loss: 0.3984, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0183, RCNNLoss.rcnn_loss_cls: 0.0692, RCNNLoss.rcnn_loss_bbox: 0.1166, SampledMaskLoss.rcnn_loss_mask: 0.1868 [06/20 19:29:22] Vis4D INFO: Epoch 11: 1850/9726, ETA: 1:32:36, 1.42it/s, loss: 0.4295, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0224, RCNNLoss.rcnn_loss_cls: 0.0802, RCNNLoss.rcnn_loss_bbox: 0.1372, SampledMaskLoss.rcnn_loss_mask: 0.1816 [06/20 19:30:06] Vis4D INFO: Epoch 11: 1900/9726, ETA: 1:32:38, 1.41it/s, loss: 0.4311, RPNLoss.loss_cls: 0.0065, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0829, RCNNLoss.rcnn_loss_bbox: 0.1357, SampledMaskLoss.rcnn_loss_mask: 0.1852 [06/20 19:30:37] Vis4D INFO: Epoch 11: 1950/9726, ETA: 1:31:46, 1.41it/s, loss: 0.4152, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0693, RCNNLoss.rcnn_loss_bbox: 0.1171, SampledMaskLoss.rcnn_loss_mask: 0.2001 [06/20 19:31:11] Vis4D INFO: Epoch 11: 2000/9726, ETA: 1:31:05, 1.41it/s, loss: 0.4168, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0237, RCNNLoss.rcnn_loss_cls: 0.0834, RCNNLoss.rcnn_loss_bbox: 0.1365, SampledMaskLoss.rcnn_loss_mask: 0.1627 [06/20 19:31:45] Vis4D INFO: Epoch 11: 2050/9726, ETA: 1:30:23, 1.42it/s, loss: 0.4435, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0217, RCNNLoss.rcnn_loss_cls: 0.0808, RCNNLoss.rcnn_loss_bbox: 0.1331, SampledMaskLoss.rcnn_loss_mask: 0.1997 [06/20 19:32:17] Vis4D INFO: Epoch 11: 2100/9726, ETA: 1:29:37, 1.42it/s, loss: 0.3907, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0218, RCNNLoss.rcnn_loss_cls: 0.0820, RCNNLoss.rcnn_loss_bbox: 0.1346, SampledMaskLoss.rcnn_loss_mask: 0.1445 [06/20 19:32:48] Vis4D INFO: Epoch 11: 2150/9726, ETA: 1:28:47, 1.42it/s, loss: 0.4067, RPNLoss.loss_cls: 0.0073, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0806, RCNNLoss.rcnn_loss_bbox: 0.1413, SampledMaskLoss.rcnn_loss_mask: 0.1558 [06/20 19:33:21] Vis4D INFO: Epoch 11: 2200/9726, ETA: 1:28:02, 1.42it/s, loss: 0.4730, RPNLoss.loss_cls: 0.0057, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0819, RCNNLoss.rcnn_loss_bbox: 0.1440, SampledMaskLoss.rcnn_loss_mask: 0.2200 [06/20 19:33:55] Vis4D INFO: Epoch 11: 2250/9726, ETA: 1:27:26, 1.42it/s, loss: 0.4433, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0837, RCNNLoss.rcnn_loss_bbox: 0.1439, SampledMaskLoss.rcnn_loss_mask: 0.1876 [06/20 19:34:28] Vis4D INFO: Epoch 11: 2300/9726, ETA: 1:26:44, 1.43it/s, loss: 0.4462, RPNLoss.loss_cls: 0.0063, RPNLoss.loss_bbox: 0.0218, RCNNLoss.rcnn_loss_cls: 0.0783, RCNNLoss.rcnn_loss_bbox: 0.1310, SampledMaskLoss.rcnn_loss_mask: 0.2089 [06/20 19:35:01] Vis4D INFO: Epoch 11: 2350/9726, ETA: 1:26:02, 1.43it/s, loss: 0.4719, RPNLoss.loss_cls: 0.0094, RPNLoss.loss_bbox: 0.0274, RCNNLoss.rcnn_loss_cls: 0.0912, RCNNLoss.rcnn_loss_bbox: 0.1628, SampledMaskLoss.rcnn_loss_mask: 0.1811 [06/20 19:35:34] Vis4D INFO: Epoch 11: 2400/9726, ETA: 1:25:20, 1.43it/s, loss: 0.4245, RPNLoss.loss_cls: 0.0067, RPNLoss.loss_bbox: 0.0199, RCNNLoss.rcnn_loss_cls: 0.0717, RCNNLoss.rcnn_loss_bbox: 0.1314, SampledMaskLoss.rcnn_loss_mask: 0.1948 [06/20 19:36:05] Vis4D INFO: Epoch 11: 2450/9726, ETA: 1:24:34, 1.43it/s, loss: 0.4486, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0211, RCNNLoss.rcnn_loss_cls: 0.0843, RCNNLoss.rcnn_loss_bbox: 0.1490, SampledMaskLoss.rcnn_loss_mask: 0.1850 [06/20 19:36:35] Vis4D INFO: Epoch 11: 2500/9726, ETA: 1:23:46, 1.44it/s, loss: 0.4775, RPNLoss.loss_cls: 0.0103, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.1013, RCNNLoss.rcnn_loss_bbox: 0.1599, SampledMaskLoss.rcnn_loss_mask: 0.1806 [06/20 19:37:08] Vis4D INFO: Epoch 11: 2550/9726, ETA: 1:23:04, 1.44it/s, loss: 0.4286, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0235, RCNNLoss.rcnn_loss_cls: 0.0852, RCNNLoss.rcnn_loss_bbox: 0.1422, SampledMaskLoss.rcnn_loss_mask: 0.1696 [06/20 19:37:41] Vis4D INFO: Epoch 11: 2600/9726, ETA: 1:22:24, 1.44it/s, loss: 0.4134, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0202, RCNNLoss.rcnn_loss_cls: 0.0807, RCNNLoss.rcnn_loss_bbox: 0.1327, SampledMaskLoss.rcnn_loss_mask: 0.1724 [06/20 19:38:10] Vis4D INFO: Epoch 11: 2650/9726, ETA: 1:21:36, 1.45it/s, loss: 0.3957, RPNLoss.loss_cls: 0.0053, RPNLoss.loss_bbox: 0.0183, RCNNLoss.rcnn_loss_cls: 0.0700, RCNNLoss.rcnn_loss_bbox: 0.1266, SampledMaskLoss.rcnn_loss_mask: 0.1754 [06/20 19:38:40] Vis4D INFO: Epoch 11: 2700/9726, ETA: 1:20:50, 1.45it/s, loss: 0.4215, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0221, RCNNLoss.rcnn_loss_cls: 0.0806, RCNNLoss.rcnn_loss_bbox: 0.1402, SampledMaskLoss.rcnn_loss_mask: 0.1703 [06/20 19:39:11] Vis4D INFO: Epoch 11: 2750/9726, ETA: 1:20:06, 1.45it/s, loss: 0.4272, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0199, RCNNLoss.rcnn_loss_cls: 0.0793, RCNNLoss.rcnn_loss_bbox: 0.1431, SampledMaskLoss.rcnn_loss_mask: 0.1777 [06/20 19:39:41] Vis4D INFO: Epoch 11: 2800/9726, ETA: 1:19:20, 1.45it/s, loss: 0.4534, RPNLoss.loss_cls: 0.0098, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0772, RCNNLoss.rcnn_loss_bbox: 0.1326, SampledMaskLoss.rcnn_loss_mask: 0.2133 [06/20 19:40:12] Vis4D INFO: Epoch 11: 2850/9726, ETA: 1:18:37, 1.46it/s, loss: 0.4563, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0259, RCNNLoss.rcnn_loss_cls: 0.0884, RCNNLoss.rcnn_loss_bbox: 0.1490, SampledMaskLoss.rcnn_loss_mask: 0.1865 [06/20 19:40:42] Vis4D INFO: Epoch 11: 2900/9726, ETA: 1:17:54, 1.46it/s, loss: 0.4270, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0795, RCNNLoss.rcnn_loss_bbox: 0.1430, SampledMaskLoss.rcnn_loss_mask: 0.1769 [06/20 19:41:14] Vis4D INFO: Epoch 11: 2950/9726, ETA: 1:17:13, 1.46it/s, loss: 0.4492, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0202, RCNNLoss.rcnn_loss_cls: 0.0835, RCNNLoss.rcnn_loss_bbox: 0.1347, SampledMaskLoss.rcnn_loss_mask: 0.2037 [06/20 19:41:44] Vis4D INFO: Epoch 11: 3000/9726, ETA: 1:16:31, 1.46it/s, loss: 0.3985, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0178, RCNNLoss.rcnn_loss_cls: 0.0704, RCNNLoss.rcnn_loss_bbox: 0.1289, SampledMaskLoss.rcnn_loss_mask: 0.1734 [06/20 19:42:16] Vis4D INFO: Epoch 11: 3050/9726, ETA: 1:15:52, 1.47it/s, loss: 0.4085, RPNLoss.loss_cls: 0.0057, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0741, RCNNLoss.rcnn_loss_bbox: 0.1281, SampledMaskLoss.rcnn_loss_mask: 0.1798 [06/20 19:42:45] Vis4D INFO: Epoch 11: 3100/9726, ETA: 1:15:05, 1.47it/s, loss: 0.4447, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0865, RCNNLoss.rcnn_loss_bbox: 0.1435, SampledMaskLoss.rcnn_loss_mask: 0.1836 [06/20 19:43:15] Vis4D INFO: Epoch 11: 3150/9726, ETA: 1:14:23, 1.47it/s, loss: 0.4482, RPNLoss.loss_cls: 0.0059, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.0837, RCNNLoss.rcnn_loss_bbox: 0.1443, SampledMaskLoss.rcnn_loss_mask: 0.1887 [06/20 19:43:45] Vis4D INFO: Epoch 11: 3200/9726, ETA: 1:13:41, 1.48it/s, loss: 0.4186, RPNLoss.loss_cls: 0.0105, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0904, RCNNLoss.rcnn_loss_bbox: 0.1412, SampledMaskLoss.rcnn_loss_mask: 0.1560 [06/20 19:44:15] Vis4D INFO: Epoch 11: 3250/9726, ETA: 1:13:01, 1.48it/s, loss: 0.4133, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0171, RCNNLoss.rcnn_loss_cls: 0.0690, RCNNLoss.rcnn_loss_bbox: 0.1197, SampledMaskLoss.rcnn_loss_mask: 0.2014 [06/20 19:44:45] Vis4D INFO: Epoch 11: 3300/9726, ETA: 1:12:20, 1.48it/s, loss: 0.3993, RPNLoss.loss_cls: 0.0058, RPNLoss.loss_bbox: 0.0199, RCNNLoss.rcnn_loss_cls: 0.0811, RCNNLoss.rcnn_loss_bbox: 0.1281, SampledMaskLoss.rcnn_loss_mask: 0.1644 [06/20 19:45:17] Vis4D INFO: Epoch 11: 3350/9726, ETA: 1:11:42, 1.48it/s, loss: 0.4520, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.0820, RCNNLoss.rcnn_loss_bbox: 0.1441, SampledMaskLoss.rcnn_loss_mask: 0.1960 [06/20 19:45:46] Vis4D INFO: Epoch 11: 3400/9726, ETA: 1:10:59, 1.49it/s, loss: 0.4696, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0259, RCNNLoss.rcnn_loss_cls: 0.0880, RCNNLoss.rcnn_loss_bbox: 0.1532, SampledMaskLoss.rcnn_loss_mask: 0.1931 [06/20 19:46:16] Vis4D INFO: Epoch 11: 3450/9726, ETA: 1:10:19, 1.49it/s, loss: 0.4327, RPNLoss.loss_cls: 0.0055, RPNLoss.loss_bbox: 0.0188, RCNNLoss.rcnn_loss_cls: 0.0787, RCNNLoss.rcnn_loss_bbox: 0.1276, SampledMaskLoss.rcnn_loss_mask: 0.2021 [06/20 19:46:46] Vis4D INFO: Epoch 11: 3500/9726, ETA: 1:09:40, 1.49it/s, loss: 0.4404, RPNLoss.loss_cls: 0.0119, RPNLoss.loss_bbox: 0.0211, RCNNLoss.rcnn_loss_cls: 0.0809, RCNNLoss.rcnn_loss_bbox: 0.1420, SampledMaskLoss.rcnn_loss_mask: 0.1844 [06/20 19:47:20] Vis4D INFO: Epoch 11: 3550/9726, ETA: 1:09:07, 1.49it/s, loss: 0.4318, RPNLoss.loss_cls: 0.0065, RPNLoss.loss_bbox: 0.0225, RCNNLoss.rcnn_loss_cls: 0.0826, RCNNLoss.rcnn_loss_bbox: 0.1366, SampledMaskLoss.rcnn_loss_mask: 0.1837 [06/20 19:47:53] Vis4D INFO: Epoch 11: 3600/9726, ETA: 1:08:31, 1.49it/s, loss: 0.4532, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0880, RCNNLoss.rcnn_loss_bbox: 0.1444, SampledMaskLoss.rcnn_loss_mask: 0.1904 [06/20 19:48:22] Vis4D INFO: Epoch 11: 3650/9726, ETA: 1:07:51, 1.49it/s, loss: 0.3867, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0190, RCNNLoss.rcnn_loss_cls: 0.0718, RCNNLoss.rcnn_loss_bbox: 0.1250, SampledMaskLoss.rcnn_loss_mask: 0.1649 [06/20 19:48:50] Vis4D INFO: Epoch 11: 3700/9726, ETA: 1:07:08, 1.50it/s, loss: 0.4683, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0211, RCNNLoss.rcnn_loss_cls: 0.0789, RCNNLoss.rcnn_loss_bbox: 0.1395, SampledMaskLoss.rcnn_loss_mask: 0.2216 [06/20 19:49:22] Vis4D INFO: Epoch 11: 3750/9726, ETA: 1:06:32, 1.50it/s, loss: 0.4978, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.0944, RCNNLoss.rcnn_loss_bbox: 0.1609, SampledMaskLoss.rcnn_loss_mask: 0.2076 [06/20 19:49:53] Vis4D INFO: Epoch 11: 3800/9726, ETA: 1:05:55, 1.50it/s, loss: 0.4075, RPNLoss.loss_cls: 0.0089, RPNLoss.loss_bbox: 0.0191, RCNNLoss.rcnn_loss_cls: 0.0741, RCNNLoss.rcnn_loss_bbox: 0.1218, SampledMaskLoss.rcnn_loss_mask: 0.1834 [06/20 19:50:24] Vis4D INFO: Epoch 11: 3850/9726, ETA: 1:05:18, 1.50it/s, loss: 0.4298, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0224, RCNNLoss.rcnn_loss_cls: 0.0782, RCNNLoss.rcnn_loss_bbox: 0.1367, SampledMaskLoss.rcnn_loss_mask: 0.1850 [06/20 19:50:52] Vis4D INFO: Epoch 11: 3900/9726, ETA: 1:04:37, 1.50it/s, loss: 0.4505, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0206, RCNNLoss.rcnn_loss_cls: 0.0797, RCNNLoss.rcnn_loss_bbox: 0.1356, SampledMaskLoss.rcnn_loss_mask: 0.2067 [06/20 19:51:21] Vis4D INFO: Epoch 11: 3950/9726, ETA: 1:03:57, 1.51it/s, loss: 0.4481, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0239, RCNNLoss.rcnn_loss_cls: 0.0829, RCNNLoss.rcnn_loss_bbox: 0.1469, SampledMaskLoss.rcnn_loss_mask: 0.1868 [06/20 19:51:50] Vis4D INFO: Epoch 11: 4000/9726, ETA: 1:03:18, 1.51it/s, loss: 0.4449, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0249, RCNNLoss.rcnn_loss_cls: 0.0822, RCNNLoss.rcnn_loss_bbox: 0.1484, SampledMaskLoss.rcnn_loss_mask: 0.1819 [06/20 19:52:18] Vis4D INFO: Epoch 11: 4050/9726, ETA: 1:02:38, 1.51it/s, loss: 0.4488, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0238, RCNNLoss.rcnn_loss_cls: 0.0837, RCNNLoss.rcnn_loss_bbox: 0.1443, SampledMaskLoss.rcnn_loss_mask: 0.1892 [06/20 19:52:47] Vis4D INFO: Epoch 11: 4100/9726, ETA: 1:02:00, 1.51it/s, loss: 0.4509, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.0943, RCNNLoss.rcnn_loss_bbox: 0.1541, SampledMaskLoss.rcnn_loss_mask: 0.1699 [06/20 19:53:16] Vis4D INFO: Epoch 11: 4150/9726, ETA: 1:01:20, 1.51it/s, loss: 0.4029, RPNLoss.loss_cls: 0.0096, RPNLoss.loss_bbox: 0.0202, RCNNLoss.rcnn_loss_cls: 0.0713, RCNNLoss.rcnn_loss_bbox: 0.1283, SampledMaskLoss.rcnn_loss_mask: 0.1736 [06/20 19:53:43] Vis4D INFO: Epoch 11: 4200/9726, ETA: 1:00:39, 1.52it/s, loss: 0.3992, RPNLoss.loss_cls: 0.0045, RPNLoss.loss_bbox: 0.0166, RCNNLoss.rcnn_loss_cls: 0.0706, RCNNLoss.rcnn_loss_bbox: 0.1236, SampledMaskLoss.rcnn_loss_mask: 0.1839 [06/20 19:54:10] Vis4D INFO: Epoch 11: 4250/9726, ETA: 0:59:59, 1.52it/s, loss: 0.4326, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0179, RCNNLoss.rcnn_loss_cls: 0.0751, RCNNLoss.rcnn_loss_bbox: 0.1182, SampledMaskLoss.rcnn_loss_mask: 0.2134 [06/20 19:54:38] Vis4D INFO: Epoch 11: 4300/9726, ETA: 0:59:20, 1.52it/s, loss: 0.4033, RPNLoss.loss_cls: 0.0046, RPNLoss.loss_bbox: 0.0163, RCNNLoss.rcnn_loss_cls: 0.0715, RCNNLoss.rcnn_loss_bbox: 0.1189, SampledMaskLoss.rcnn_loss_mask: 0.1920 [06/20 19:55:05] Vis4D INFO: Epoch 11: 4350/9726, ETA: 0:58:40, 1.53it/s, loss: 0.4354, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0247, RCNNLoss.rcnn_loss_cls: 0.0849, RCNNLoss.rcnn_loss_bbox: 0.1504, SampledMaskLoss.rcnn_loss_mask: 0.1666 [06/20 19:55:33] Vis4D INFO: Epoch 11: 4400/9726, ETA: 0:58:02, 1.53it/s, loss: 0.4734, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0257, RCNNLoss.rcnn_loss_cls: 0.0916, RCNNLoss.rcnn_loss_bbox: 0.1563, SampledMaskLoss.rcnn_loss_mask: 0.1927 [06/20 19:56:02] Vis4D INFO: Epoch 11: 4450/9726, ETA: 0:57:24, 1.53it/s, loss: 0.4657, RPNLoss.loss_cls: 0.0094, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.0863, RCNNLoss.rcnn_loss_bbox: 0.1488, SampledMaskLoss.rcnn_loss_mask: 0.1950 [06/20 19:56:31] Vis4D INFO: Epoch 11: 4500/9726, ETA: 0:56:48, 1.53it/s, loss: 0.4088, RPNLoss.loss_cls: 0.0067, RPNLoss.loss_bbox: 0.0223, RCNNLoss.rcnn_loss_cls: 0.0779, RCNNLoss.rcnn_loss_bbox: 0.1334, SampledMaskLoss.rcnn_loss_mask: 0.1685 [06/20 19:56:58] Vis4D INFO: Epoch 11: 4550/9726, ETA: 0:56:08, 1.54it/s, loss: 0.4052, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0181, RCNNLoss.rcnn_loss_cls: 0.0792, RCNNLoss.rcnn_loss_bbox: 0.1281, SampledMaskLoss.rcnn_loss_mask: 0.1737 [06/20 19:57:24] Vis4D INFO: Epoch 11: 4600/9726, ETA: 0:55:29, 1.54it/s, loss: 0.4263, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0196, RCNNLoss.rcnn_loss_cls: 0.0736, RCNNLoss.rcnn_loss_bbox: 0.1243, SampledMaskLoss.rcnn_loss_mask: 0.2010 [06/20 19:57:50] Vis4D INFO: Epoch 11: 4650/9726, ETA: 0:54:49, 1.54it/s, loss: 0.4372, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0202, RCNNLoss.rcnn_loss_cls: 0.0808, RCNNLoss.rcnn_loss_bbox: 0.1342, SampledMaskLoss.rcnn_loss_mask: 0.1938 [06/20 19:58:17] Vis4D INFO: Epoch 11: 4700/9726, ETA: 0:54:11, 1.55it/s, loss: 0.5040, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0238, RCNNLoss.rcnn_loss_cls: 0.0939, RCNNLoss.rcnn_loss_bbox: 0.1514, SampledMaskLoss.rcnn_loss_mask: 0.2265 [06/20 19:58:44] Vis4D INFO: Epoch 11: 4750/9726, ETA: 0:53:33, 1.55it/s, loss: 0.4565, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0278, RCNNLoss.rcnn_loss_cls: 0.0802, RCNNLoss.rcnn_loss_bbox: 0.1472, SampledMaskLoss.rcnn_loss_mask: 0.1931 [06/20 19:59:10] Vis4D INFO: Epoch 11: 4800/9726, ETA: 0:52:54, 1.55it/s, loss: 0.4004, RPNLoss.loss_cls: 0.0053, RPNLoss.loss_bbox: 0.0182, RCNNLoss.rcnn_loss_cls: 0.0695, RCNNLoss.rcnn_loss_bbox: 0.1249, SampledMaskLoss.rcnn_loss_mask: 0.1824 [06/20 19:59:37] Vis4D INFO: Epoch 11: 4850/9726, ETA: 0:52:17, 1.55it/s, loss: 0.4313, RPNLoss.loss_cls: 0.0068, RPNLoss.loss_bbox: 0.0203, RCNNLoss.rcnn_loss_cls: 0.0778, RCNNLoss.rcnn_loss_bbox: 0.1373, SampledMaskLoss.rcnn_loss_mask: 0.1892 [06/20 20:00:04] Vis4D INFO: Epoch 11: 4900/9726, ETA: 0:51:39, 1.56it/s, loss: 0.4099, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0782, RCNNLoss.rcnn_loss_bbox: 0.1347, SampledMaskLoss.rcnn_loss_mask: 0.1691 [06/20 20:00:29] Vis4D INFO: Epoch 11: 4950/9726, ETA: 0:51:01, 1.56it/s, loss: 0.4585, RPNLoss.loss_cls: 0.0107, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.0907, RCNNLoss.rcnn_loss_bbox: 0.1509, SampledMaskLoss.rcnn_loss_mask: 0.1814 [06/20 20:00:56] Vis4D INFO: Epoch 11: 5000/9726, ETA: 0:50:24, 1.56it/s, loss: 0.4079, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0178, RCNNLoss.rcnn_loss_cls: 0.0732, RCNNLoss.rcnn_loss_bbox: 0.1170, SampledMaskLoss.rcnn_loss_mask: 0.1931 [06/20 20:01:22] Vis4D INFO: Epoch 11: 5050/9726, ETA: 0:49:46, 1.57it/s, loss: 0.4396, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0242, RCNNLoss.rcnn_loss_cls: 0.0837, RCNNLoss.rcnn_loss_bbox: 0.1477, SampledMaskLoss.rcnn_loss_mask: 0.1751 [06/20 20:01:48] Vis4D INFO: Epoch 11: 5100/9726, ETA: 0:49:09, 1.57it/s, loss: 0.4432, RPNLoss.loss_cls: 0.0075, RPNLoss.loss_bbox: 0.0231, RCNNLoss.rcnn_loss_cls: 0.0798, RCNNLoss.rcnn_loss_bbox: 0.1357, SampledMaskLoss.rcnn_loss_mask: 0.1971 [06/20 20:02:15] Vis4D INFO: Epoch 11: 5150/9726, ETA: 0:48:32, 1.57it/s, loss: 0.4832, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0925, RCNNLoss.rcnn_loss_bbox: 0.1497, SampledMaskLoss.rcnn_loss_mask: 0.2114 [06/20 20:02:42] Vis4D INFO: Epoch 11: 5200/9726, ETA: 0:47:57, 1.57it/s, loss: 0.4335, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0211, RCNNLoss.rcnn_loss_cls: 0.0811, RCNNLoss.rcnn_loss_bbox: 0.1356, SampledMaskLoss.rcnn_loss_mask: 0.1879 [06/20 20:03:11] Vis4D INFO: Epoch 11: 5250/9726, ETA: 0:47:22, 1.57it/s, loss: 0.3980, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0176, RCNNLoss.rcnn_loss_cls: 0.0731, RCNNLoss.rcnn_loss_bbox: 0.1263, SampledMaskLoss.rcnn_loss_mask: 0.1750 [06/20 20:03:40] Vis4D INFO: Epoch 11: 5300/9726, ETA: 0:46:48, 1.58it/s, loss: 0.4850, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0260, RCNNLoss.rcnn_loss_cls: 0.0849, RCNNLoss.rcnn_loss_bbox: 0.1472, SampledMaskLoss.rcnn_loss_mask: 0.2181 [06/20 20:04:07] Vis4D INFO: Epoch 11: 5350/9726, ETA: 0:46:13, 1.58it/s, loss: 0.4368, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0791, RCNNLoss.rcnn_loss_bbox: 0.1399, SampledMaskLoss.rcnn_loss_mask: 0.1887 [06/20 20:04:36] Vis4D INFO: Epoch 11: 5400/9726, ETA: 0:45:39, 1.58it/s, loss: 0.4198, RPNLoss.loss_cls: 0.0063, RPNLoss.loss_bbox: 0.0197, RCNNLoss.rcnn_loss_cls: 0.0799, RCNNLoss.rcnn_loss_bbox: 0.1340, SampledMaskLoss.rcnn_loss_mask: 0.1799 [06/20 20:05:07] Vis4D INFO: Epoch 11: 5450/9726, ETA: 0:45:07, 1.58it/s, loss: 0.4242, RPNLoss.loss_cls: 0.0136, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0872, RCNNLoss.rcnn_loss_bbox: 0.1440, SampledMaskLoss.rcnn_loss_mask: 0.1555 [06/20 20:05:34] Vis4D INFO: Epoch 11: 5500/9726, ETA: 0:44:32, 1.58it/s, loss: 0.4582, RPNLoss.loss_cls: 0.0067, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.0798, RCNNLoss.rcnn_loss_bbox: 0.1406, SampledMaskLoss.rcnn_loss_mask: 0.2058 [06/20 20:06:03] Vis4D INFO: Epoch 11: 5550/9726, ETA: 0:43:58, 1.58it/s, loss: 0.4750, RPNLoss.loss_cls: 0.0087, RPNLoss.loss_bbox: 0.0243, RCNNLoss.rcnn_loss_cls: 0.0839, RCNNLoss.rcnn_loss_bbox: 0.1460, SampledMaskLoss.rcnn_loss_mask: 0.2122 [06/20 20:06:34] Vis4D INFO: Epoch 11: 5600/9726, ETA: 0:43:26, 1.58it/s, loss: 0.3442, RPNLoss.loss_cls: 0.0058, RPNLoss.loss_bbox: 0.0162, RCNNLoss.rcnn_loss_cls: 0.0616, RCNNLoss.rcnn_loss_bbox: 0.1116, SampledMaskLoss.rcnn_loss_mask: 0.1490 [06/20 20:07:05] Vis4D INFO: Epoch 11: 5650/9726, ETA: 0:42:54, 1.58it/s, loss: 0.4698, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0226, RCNNLoss.rcnn_loss_cls: 0.0832, RCNNLoss.rcnn_loss_bbox: 0.1471, SampledMaskLoss.rcnn_loss_mask: 0.2087 [06/20 20:07:37] Vis4D INFO: Epoch 11: 5700/9726, ETA: 0:42:22, 1.58it/s, loss: 0.4323, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0190, RCNNLoss.rcnn_loss_cls: 0.0821, RCNNLoss.rcnn_loss_bbox: 0.1359, SampledMaskLoss.rcnn_loss_mask: 0.1874 [06/20 20:08:08] Vis4D INFO: Epoch 11: 5750/9726, ETA: 0:41:50, 1.58it/s, loss: 0.4106, RPNLoss.loss_cls: 0.0052, RPNLoss.loss_bbox: 0.0178, RCNNLoss.rcnn_loss_cls: 0.0715, RCNNLoss.rcnn_loss_bbox: 0.1262, SampledMaskLoss.rcnn_loss_mask: 0.1899 [06/20 20:08:39] Vis4D INFO: Epoch 11: 5800/9726, ETA: 0:41:19, 1.58it/s, loss: 0.4887, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0235, RCNNLoss.rcnn_loss_cls: 0.0929, RCNNLoss.rcnn_loss_bbox: 0.1536, SampledMaskLoss.rcnn_loss_mask: 0.2121 [06/20 20:09:09] Vis4D INFO: Epoch 11: 5850/9726, ETA: 0:40:46, 1.58it/s, loss: 0.4105, RPNLoss.loss_cls: 0.0057, RPNLoss.loss_bbox: 0.0187, RCNNLoss.rcnn_loss_cls: 0.0748, RCNNLoss.rcnn_loss_bbox: 0.1374, SampledMaskLoss.rcnn_loss_mask: 0.1740 [06/20 20:09:38] Vis4D INFO: Epoch 11: 5900/9726, ETA: 0:40:13, 1.59it/s, loss: 0.4772, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0899, RCNNLoss.rcnn_loss_bbox: 0.1472, SampledMaskLoss.rcnn_loss_mask: 0.2102 [06/20 20:10:07] Vis4D INFO: Epoch 11: 5950/9726, ETA: 0:39:39, 1.59it/s, loss: 0.3897, RPNLoss.loss_cls: 0.0059, RPNLoss.loss_bbox: 0.0173, RCNNLoss.rcnn_loss_cls: 0.0674, RCNNLoss.rcnn_loss_bbox: 0.1160, SampledMaskLoss.rcnn_loss_mask: 0.1830 [06/20 20:10:38] Vis4D INFO: Epoch 11: 6000/9726, ETA: 0:39:08, 1.59it/s, loss: 0.4214, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0223, RCNNLoss.rcnn_loss_cls: 0.0739, RCNNLoss.rcnn_loss_bbox: 0.1364, SampledMaskLoss.rcnn_loss_mask: 0.1822 [06/20 20:11:08] Vis4D INFO: Epoch 11: 6050/9726, ETA: 0:38:36, 1.59it/s, loss: 0.4390, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0217, RCNNLoss.rcnn_loss_cls: 0.0830, RCNNLoss.rcnn_loss_bbox: 0.1368, SampledMaskLoss.rcnn_loss_mask: 0.1891 [06/20 20:11:39] Vis4D INFO: Epoch 11: 6100/9726, ETA: 0:38:03, 1.59it/s, loss: 0.4710, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0824, RCNNLoss.rcnn_loss_bbox: 0.1475, SampledMaskLoss.rcnn_loss_mask: 0.2101 [06/20 20:12:07] Vis4D INFO: Epoch 11: 6150/9726, ETA: 0:37:30, 1.59it/s, loss: 0.4061, RPNLoss.loss_cls: 0.0059, RPNLoss.loss_bbox: 0.0189, RCNNLoss.rcnn_loss_cls: 0.0720, RCNNLoss.rcnn_loss_bbox: 0.1273, SampledMaskLoss.rcnn_loss_mask: 0.1819 [06/20 20:12:37] Vis4D INFO: Epoch 11: 6200/9726, ETA: 0:36:58, 1.59it/s, loss: 0.4405, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0224, RCNNLoss.rcnn_loss_cls: 0.0824, RCNNLoss.rcnn_loss_bbox: 0.1320, SampledMaskLoss.rcnn_loss_mask: 0.1948 [06/20 20:13:06] Vis4D INFO: Epoch 11: 6250/9726, ETA: 0:36:25, 1.59it/s, loss: 0.4654, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0244, RCNNLoss.rcnn_loss_cls: 0.0802, RCNNLoss.rcnn_loss_bbox: 0.1485, SampledMaskLoss.rcnn_loss_mask: 0.2049 [06/20 20:13:37] Vis4D INFO: Epoch 11: 6300/9726, ETA: 0:35:53, 1.59it/s, loss: 0.4424, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0821, RCNNLoss.rcnn_loss_bbox: 0.1376, SampledMaskLoss.rcnn_loss_mask: 0.1930 [06/20 20:14:06] Vis4D INFO: Epoch 11: 6350/9726, ETA: 0:35:21, 1.59it/s, loss: 0.4620, RPNLoss.loss_cls: 0.0089, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.0946, RCNNLoss.rcnn_loss_bbox: 0.1587, SampledMaskLoss.rcnn_loss_mask: 0.1750 [06/20 20:14:35] Vis4D INFO: Epoch 11: 6400/9726, ETA: 0:34:48, 1.59it/s, loss: 0.4125, RPNLoss.loss_cls: 0.0095, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0852, RCNNLoss.rcnn_loss_bbox: 0.1435, SampledMaskLoss.rcnn_loss_mask: 0.1514 [06/20 20:15:04] Vis4D INFO: Epoch 11: 6450/9726, ETA: 0:34:15, 1.59it/s, loss: 0.4056, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0242, RCNNLoss.rcnn_loss_cls: 0.0810, RCNNLoss.rcnn_loss_bbox: 0.1441, SampledMaskLoss.rcnn_loss_mask: 0.1490 [06/20 20:15:33] Vis4D INFO: Epoch 11: 6500/9726, ETA: 0:33:42, 1.59it/s, loss: 0.4441, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0763, RCNNLoss.rcnn_loss_bbox: 0.1303, SampledMaskLoss.rcnn_loss_mask: 0.2095 [06/20 20:16:00] Vis4D INFO: Epoch 11: 6550/9726, ETA: 0:33:09, 1.60it/s, loss: 0.4136, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0777, RCNNLoss.rcnn_loss_bbox: 0.1290, SampledMaskLoss.rcnn_loss_mask: 0.1772 [06/20 20:16:28] Vis4D INFO: Epoch 11: 6600/9726, ETA: 0:32:36, 1.60it/s, loss: 0.4062, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0203, RCNNLoss.rcnn_loss_cls: 0.0747, RCNNLoss.rcnn_loss_bbox: 0.1250, SampledMaskLoss.rcnn_loss_mask: 0.1750 [06/20 20:16:55] Vis4D INFO: Epoch 11: 6650/9726, ETA: 0:32:03, 1.60it/s, loss: 0.4501, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0809, RCNNLoss.rcnn_loss_bbox: 0.1426, SampledMaskLoss.rcnn_loss_mask: 0.1933 [06/20 20:17:23] Vis4D INFO: Epoch 11: 6700/9726, ETA: 0:31:30, 1.60it/s, loss: 0.4832, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.0922, RCNNLoss.rcnn_loss_bbox: 0.1588, SampledMaskLoss.rcnn_loss_mask: 0.1995 [06/20 20:17:52] Vis4D INFO: Epoch 11: 6750/9726, ETA: 0:30:58, 1.60it/s, loss: 0.3652, RPNLoss.loss_cls: 0.0054, RPNLoss.loss_bbox: 0.0197, RCNNLoss.rcnn_loss_cls: 0.0647, RCNNLoss.rcnn_loss_bbox: 0.1180, SampledMaskLoss.rcnn_loss_mask: 0.1574 [06/20 20:18:21] Vis4D INFO: Epoch 11: 6800/9726, ETA: 0:30:26, 1.60it/s, loss: 0.4668, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0252, RCNNLoss.rcnn_loss_cls: 0.0852, RCNNLoss.rcnn_loss_bbox: 0.1441, SampledMaskLoss.rcnn_loss_mask: 0.2038 [06/20 20:18:49] Vis4D INFO: Epoch 11: 6850/9726, ETA: 0:29:53, 1.60it/s, loss: 0.4100, RPNLoss.loss_cls: 0.0053, RPNLoss.loss_bbox: 0.0231, RCNNLoss.rcnn_loss_cls: 0.0793, RCNNLoss.rcnn_loss_bbox: 0.1387, SampledMaskLoss.rcnn_loss_mask: 0.1637 [06/20 20:19:18] Vis4D INFO: Epoch 11: 6900/9726, ETA: 0:29:21, 1.60it/s, loss: 0.4394, RPNLoss.loss_cls: 0.0106, RPNLoss.loss_bbox: 0.0220, RCNNLoss.rcnn_loss_cls: 0.0775, RCNNLoss.rcnn_loss_bbox: 0.1371, SampledMaskLoss.rcnn_loss_mask: 0.1923 [06/20 20:19:47] Vis4D INFO: Epoch 11: 6950/9726, ETA: 0:28:49, 1.60it/s, loss: 0.4093, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0176, RCNNLoss.rcnn_loss_cls: 0.0727, RCNNLoss.rcnn_loss_bbox: 0.1232, SampledMaskLoss.rcnn_loss_mask: 0.1872 [06/20 20:20:16] Vis4D INFO: Epoch 11: 7000/9726, ETA: 0:28:17, 1.61it/s, loss: 0.4963, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0232, RCNNLoss.rcnn_loss_cls: 0.0973, RCNNLoss.rcnn_loss_bbox: 0.1565, SampledMaskLoss.rcnn_loss_mask: 0.2112 [06/20 20:20:46] Vis4D INFO: Epoch 11: 7050/9726, ETA: 0:27:46, 1.61it/s, loss: 0.4020, RPNLoss.loss_cls: 0.0059, RPNLoss.loss_bbox: 0.0187, RCNNLoss.rcnn_loss_cls: 0.0768, RCNNLoss.rcnn_loss_bbox: 0.1293, SampledMaskLoss.rcnn_loss_mask: 0.1712 [06/20 20:21:16] Vis4D INFO: Epoch 11: 7100/9726, ETA: 0:27:14, 1.61it/s, loss: 0.4239, RPNLoss.loss_cls: 0.0068, RPNLoss.loss_bbox: 0.0224, RCNNLoss.rcnn_loss_cls: 0.0810, RCNNLoss.rcnn_loss_bbox: 0.1352, SampledMaskLoss.rcnn_loss_mask: 0.1786 [06/20 20:21:47] Vis4D INFO: Epoch 11: 7150/9726, ETA: 0:26:43, 1.61it/s, loss: 0.4181, RPNLoss.loss_cls: 0.0059, RPNLoss.loss_bbox: 0.0201, RCNNLoss.rcnn_loss_cls: 0.0771, RCNNLoss.rcnn_loss_bbox: 0.1306, SampledMaskLoss.rcnn_loss_mask: 0.1844 [06/20 20:22:19] Vis4D INFO: Epoch 11: 7200/9726, ETA: 0:26:12, 1.61it/s, loss: 0.4168, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.0844, RCNNLoss.rcnn_loss_bbox: 0.1466, SampledMaskLoss.rcnn_loss_mask: 0.1537 [06/20 20:22:51] Vis4D INFO: Epoch 11: 7250/9726, ETA: 0:25:41, 1.61it/s, loss: 0.4672, RPNLoss.loss_cls: 0.0094, RPNLoss.loss_bbox: 0.0284, RCNNLoss.rcnn_loss_cls: 0.0919, RCNNLoss.rcnn_loss_bbox: 0.1553, SampledMaskLoss.rcnn_loss_mask: 0.1822 [06/20 20:23:24] Vis4D INFO: Epoch 11: 7300/9726, ETA: 0:25:11, 1.61it/s, loss: 0.3858, RPNLoss.loss_cls: 0.0065, RPNLoss.loss_bbox: 0.0199, RCNNLoss.rcnn_loss_cls: 0.0764, RCNNLoss.rcnn_loss_bbox: 0.1299, SampledMaskLoss.rcnn_loss_mask: 0.1532 [06/20 20:23:56] Vis4D INFO: Epoch 11: 7350/9726, ETA: 0:24:40, 1.61it/s, loss: 0.4129, RPNLoss.loss_cls: 0.0087, RPNLoss.loss_bbox: 0.0207, RCNNLoss.rcnn_loss_cls: 0.0756, RCNNLoss.rcnn_loss_bbox: 0.1273, SampledMaskLoss.rcnn_loss_mask: 0.1805 [06/20 20:24:27] Vis4D INFO: Epoch 11: 7400/9726, ETA: 0:24:09, 1.60it/s, loss: 0.4129, RPNLoss.loss_cls: 0.0055, RPNLoss.loss_bbox: 0.0184, RCNNLoss.rcnn_loss_cls: 0.0715, RCNNLoss.rcnn_loss_bbox: 0.1340, SampledMaskLoss.rcnn_loss_mask: 0.1836 [06/20 20:24:59] Vis4D INFO: Epoch 11: 7450/9726, ETA: 0:23:38, 1.60it/s, loss: 0.4566, RPNLoss.loss_cls: 0.0097, RPNLoss.loss_bbox: 0.0225, RCNNLoss.rcnn_loss_cls: 0.0978, RCNNLoss.rcnn_loss_bbox: 0.1470, SampledMaskLoss.rcnn_loss_mask: 0.1795 [06/20 20:25:29] Vis4D INFO: Epoch 11: 7500/9726, ETA: 0:23:06, 1.61it/s, loss: 0.4437, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0249, RCNNLoss.rcnn_loss_cls: 0.0801, RCNNLoss.rcnn_loss_bbox: 0.1438, SampledMaskLoss.rcnn_loss_mask: 0.1872 [06/20 20:26:00] Vis4D INFO: Epoch 11: 7550/9726, ETA: 0:22:35, 1.61it/s, loss: 0.4491, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0224, RCNNLoss.rcnn_loss_cls: 0.0788, RCNNLoss.rcnn_loss_bbox: 0.1411, SampledMaskLoss.rcnn_loss_mask: 0.1993 [06/20 20:26:31] Vis4D INFO: Epoch 11: 7600/9726, ETA: 0:22:04, 1.61it/s, loss: 0.4555, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0224, RCNNLoss.rcnn_loss_cls: 0.0883, RCNNLoss.rcnn_loss_bbox: 0.1506, SampledMaskLoss.rcnn_loss_mask: 0.1863 [06/20 20:27:00] Vis4D INFO: Epoch 11: 7650/9726, ETA: 0:21:32, 1.61it/s, loss: 0.4715, RPNLoss.loss_cls: 0.0102, RPNLoss.loss_bbox: 0.0244, RCNNLoss.rcnn_loss_cls: 0.0886, RCNNLoss.rcnn_loss_bbox: 0.1524, SampledMaskLoss.rcnn_loss_mask: 0.1959 [06/20 20:27:27] Vis4D INFO: Epoch 11: 7700/9726, ETA: 0:21:00, 1.61it/s, loss: 0.4513, RPNLoss.loss_cls: 0.0127, RPNLoss.loss_bbox: 0.0221, RCNNLoss.rcnn_loss_cls: 0.0833, RCNNLoss.rcnn_loss_bbox: 0.1359, SampledMaskLoss.rcnn_loss_mask: 0.1973 [06/20 20:27:55] Vis4D INFO: Epoch 11: 7750/9726, ETA: 0:20:28, 1.61it/s, loss: 0.4566, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0819, RCNNLoss.rcnn_loss_bbox: 0.1507, SampledMaskLoss.rcnn_loss_mask: 0.1934 [06/20 20:28:24] Vis4D INFO: Epoch 11: 7800/9726, ETA: 0:19:56, 1.61it/s, loss: 0.4210, RPNLoss.loss_cls: 0.0089, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0833, RCNNLoss.rcnn_loss_bbox: 0.1403, SampledMaskLoss.rcnn_loss_mask: 0.1656 [06/20 20:28:52] Vis4D INFO: Epoch 11: 7850/9726, ETA: 0:19:25, 1.61it/s, loss: 0.3759, RPNLoss.loss_cls: 0.0073, RPNLoss.loss_bbox: 0.0180, RCNNLoss.rcnn_loss_cls: 0.0682, RCNNLoss.rcnn_loss_bbox: 0.1222, SampledMaskLoss.rcnn_loss_mask: 0.1602 [06/20 20:29:20] Vis4D INFO: Epoch 11: 7900/9726, ETA: 0:18:53, 1.61it/s, loss: 0.4631, RPNLoss.loss_cls: 0.0063, RPNLoss.loss_bbox: 0.0211, RCNNLoss.rcnn_loss_cls: 0.0867, RCNNLoss.rcnn_loss_bbox: 0.1440, SampledMaskLoss.rcnn_loss_mask: 0.2049 [06/20 20:29:49] Vis4D INFO: Epoch 11: 7950/9726, ETA: 0:18:21, 1.61it/s, loss: 0.4121, RPNLoss.loss_cls: 0.0059, RPNLoss.loss_bbox: 0.0197, RCNNLoss.rcnn_loss_cls: 0.0724, RCNNLoss.rcnn_loss_bbox: 0.1255, SampledMaskLoss.rcnn_loss_mask: 0.1887 [06/20 20:30:18] Vis4D INFO: Epoch 11: 8000/9726, ETA: 0:17:50, 1.61it/s, loss: 0.4622, RPNLoss.loss_cls: 0.0104, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0877, RCNNLoss.rcnn_loss_bbox: 0.1505, SampledMaskLoss.rcnn_loss_mask: 0.1910 [06/20 20:30:46] Vis4D INFO: Epoch 11: 8050/9726, ETA: 0:17:18, 1.61it/s, loss: 0.4114, RPNLoss.loss_cls: 0.0054, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0799, RCNNLoss.rcnn_loss_bbox: 0.1458, SampledMaskLoss.rcnn_loss_mask: 0.1588 [06/20 20:31:16] Vis4D INFO: Epoch 11: 8100/9726, ETA: 0:16:47, 1.61it/s, loss: 0.3909, RPNLoss.loss_cls: 0.0089, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0799, RCNNLoss.rcnn_loss_bbox: 0.1365, SampledMaskLoss.rcnn_loss_mask: 0.1440 [06/20 20:31:45] Vis4D INFO: Epoch 11: 8150/9726, ETA: 0:16:16, 1.61it/s, loss: 0.4572, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0261, RCNNLoss.rcnn_loss_cls: 0.0890, RCNNLoss.rcnn_loss_bbox: 0.1446, SampledMaskLoss.rcnn_loss_mask: 0.1882 [06/20 20:32:13] Vis4D INFO: Epoch 11: 8200/9726, ETA: 0:15:44, 1.62it/s, loss: 0.4984, RPNLoss.loss_cls: 0.0068, RPNLoss.loss_bbox: 0.0237, RCNNLoss.rcnn_loss_cls: 0.0898, RCNNLoss.rcnn_loss_bbox: 0.1515, SampledMaskLoss.rcnn_loss_mask: 0.2266 [06/20 20:32:42] Vis4D INFO: Epoch 11: 8250/9726, ETA: 0:15:13, 1.62it/s, loss: 0.4833, RPNLoss.loss_cls: 0.0075, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.0953, RCNNLoss.rcnn_loss_bbox: 0.1569, SampledMaskLoss.rcnn_loss_mask: 0.1972 [06/20 20:33:14] Vis4D INFO: Epoch 11: 8300/9726, ETA: 0:14:42, 1.62it/s, loss: 0.4540, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0256, RCNNLoss.rcnn_loss_cls: 0.0928, RCNNLoss.rcnn_loss_bbox: 0.1552, SampledMaskLoss.rcnn_loss_mask: 0.1722 [06/20 20:33:44] Vis4D INFO: Epoch 11: 8350/9726, ETA: 0:14:11, 1.62it/s, loss: 0.4619, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0252, RCNNLoss.rcnn_loss_cls: 0.0920, RCNNLoss.rcnn_loss_bbox: 0.1495, SampledMaskLoss.rcnn_loss_mask: 0.1845 [06/20 20:34:14] Vis4D INFO: Epoch 11: 8400/9726, ETA: 0:13:40, 1.62it/s, loss: 0.4512, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0879, RCNNLoss.rcnn_loss_bbox: 0.1485, SampledMaskLoss.rcnn_loss_mask: 0.1850 [06/20 20:34:46] Vis4D INFO: Epoch 11: 8450/9726, ETA: 0:13:09, 1.62it/s, loss: 0.3888, RPNLoss.loss_cls: 0.0058, RPNLoss.loss_bbox: 0.0190, RCNNLoss.rcnn_loss_cls: 0.0696, RCNNLoss.rcnn_loss_bbox: 0.1257, SampledMaskLoss.rcnn_loss_mask: 0.1686 [06/20 20:35:18] Vis4D INFO: Epoch 11: 8500/9726, ETA: 0:12:38, 1.62it/s, loss: 0.4510, RPNLoss.loss_cls: 0.0130, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.0871, RCNNLoss.rcnn_loss_bbox: 0.1549, SampledMaskLoss.rcnn_loss_mask: 0.1705 [06/20 20:35:50] Vis4D INFO: Epoch 11: 8550/9726, ETA: 0:12:08, 1.62it/s, loss: 0.4175, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0196, RCNNLoss.rcnn_loss_cls: 0.0748, RCNNLoss.rcnn_loss_bbox: 0.1325, SampledMaskLoss.rcnn_loss_mask: 0.1842 [06/20 20:36:21] Vis4D INFO: Epoch 11: 8600/9726, ETA: 0:11:37, 1.62it/s, loss: 0.4253, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0211, RCNNLoss.rcnn_loss_cls: 0.0787, RCNNLoss.rcnn_loss_bbox: 0.1322, SampledMaskLoss.rcnn_loss_mask: 0.1856 [06/20 20:36:53] Vis4D INFO: Epoch 11: 8650/9726, ETA: 0:11:06, 1.61it/s, loss: 0.4367, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0872, RCNNLoss.rcnn_loss_bbox: 0.1421, SampledMaskLoss.rcnn_loss_mask: 0.1764 [06/20 20:37:24] Vis4D INFO: Epoch 11: 8700/9726, ETA: 0:10:35, 1.61it/s, loss: 0.4391, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0237, RCNNLoss.rcnn_loss_cls: 0.0802, RCNNLoss.rcnn_loss_bbox: 0.1459, SampledMaskLoss.rcnn_loss_mask: 0.1816 [06/20 20:37:57] Vis4D INFO: Epoch 11: 8750/9726, ETA: 0:10:04, 1.61it/s, loss: 0.4860, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0277, RCNNLoss.rcnn_loss_cls: 0.0951, RCNNLoss.rcnn_loss_bbox: 0.1625, SampledMaskLoss.rcnn_loss_mask: 0.1929 [06/20 20:38:31] Vis4D INFO: Epoch 11: 8800/9726, ETA: 0:09:33, 1.61it/s, loss: 0.4161, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.0807, RCNNLoss.rcnn_loss_bbox: 0.1431, SampledMaskLoss.rcnn_loss_mask: 0.1616 [06/20 20:39:04] Vis4D INFO: Epoch 11: 8850/9726, ETA: 0:09:03, 1.61it/s, loss: 0.4709, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0288, RCNNLoss.rcnn_loss_cls: 0.0881, RCNNLoss.rcnn_loss_bbox: 0.1601, SampledMaskLoss.rcnn_loss_mask: 0.1854 [06/20 20:39:35] Vis4D INFO: Epoch 11: 8900/9726, ETA: 0:08:32, 1.61it/s, loss: 0.4308, RPNLoss.loss_cls: 0.0055, RPNLoss.loss_bbox: 0.0184, RCNNLoss.rcnn_loss_cls: 0.0839, RCNNLoss.rcnn_loss_bbox: 0.1398, SampledMaskLoss.rcnn_loss_mask: 0.1831 [06/20 20:40:06] Vis4D INFO: Epoch 11: 8950/9726, ETA: 0:08:01, 1.61it/s, loss: 0.4473, RPNLoss.loss_cls: 0.0063, RPNLoss.loss_bbox: 0.0212, RCNNLoss.rcnn_loss_cls: 0.0832, RCNNLoss.rcnn_loss_bbox: 0.1397, SampledMaskLoss.rcnn_loss_mask: 0.1969 [06/20 20:40:39] Vis4D INFO: Epoch 11: 9000/9726, ETA: 0:07:30, 1.61it/s, loss: 0.4463, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.0960, RCNNLoss.rcnn_loss_bbox: 0.1618, SampledMaskLoss.rcnn_loss_mask: 0.1546 [06/20 20:41:12] Vis4D INFO: Epoch 11: 9050/9726, ETA: 0:06:59, 1.61it/s, loss: 0.3955, RPNLoss.loss_cls: 0.0063, RPNLoss.loss_bbox: 0.0193, RCNNLoss.rcnn_loss_cls: 0.0698, RCNNLoss.rcnn_loss_bbox: 0.1317, SampledMaskLoss.rcnn_loss_mask: 0.1684 [06/20 20:41:44] Vis4D INFO: Epoch 11: 9100/9726, ETA: 0:06:28, 1.61it/s, loss: 0.4160, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0202, RCNNLoss.rcnn_loss_cls: 0.0778, RCNNLoss.rcnn_loss_bbox: 0.1388, SampledMaskLoss.rcnn_loss_mask: 0.1726 [06/20 20:42:17] Vis4D INFO: Epoch 11: 9150/9726, ETA: 0:05:57, 1.61it/s, loss: 0.4501, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0264, RCNNLoss.rcnn_loss_cls: 0.0821, RCNNLoss.rcnn_loss_bbox: 0.1455, SampledMaskLoss.rcnn_loss_mask: 0.1890 [06/20 20:42:47] Vis4D INFO: Epoch 11: 9200/9726, ETA: 0:05:26, 1.61it/s, loss: 0.4275, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0210, RCNNLoss.rcnn_loss_cls: 0.0778, RCNNLoss.rcnn_loss_bbox: 0.1275, SampledMaskLoss.rcnn_loss_mask: 0.1926 [06/20 20:43:19] Vis4D INFO: Epoch 11: 9250/9726, ETA: 0:04:55, 1.61it/s, loss: 0.4103, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0884, RCNNLoss.rcnn_loss_bbox: 0.1394, SampledMaskLoss.rcnn_loss_mask: 0.1521 [06/20 20:43:52] Vis4D INFO: Epoch 11: 9300/9726, ETA: 0:04:24, 1.61it/s, loss: 0.4375, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0217, RCNNLoss.rcnn_loss_cls: 0.0825, RCNNLoss.rcnn_loss_bbox: 0.1438, SampledMaskLoss.rcnn_loss_mask: 0.1822 [06/20 20:44:22] Vis4D INFO: Epoch 11: 9350/9726, ETA: 0:03:53, 1.61it/s, loss: 0.4381, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.0893, RCNNLoss.rcnn_loss_bbox: 0.1539, SampledMaskLoss.rcnn_loss_mask: 0.1605 [06/20 20:44:52] Vis4D INFO: Epoch 11: 9400/9726, ETA: 0:03:22, 1.61it/s, loss: 0.4357, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.0815, RCNNLoss.rcnn_loss_bbox: 0.1456, SampledMaskLoss.rcnn_loss_mask: 0.1788 [06/20 20:45:21] Vis4D INFO: Epoch 11: 9450/9726, ETA: 0:02:51, 1.61it/s, loss: 0.4604, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0845, RCNNLoss.rcnn_loss_bbox: 0.1493, SampledMaskLoss.rcnn_loss_mask: 0.1960 [06/20 20:45:52] Vis4D INFO: Epoch 11: 9500/9726, ETA: 0:02:20, 1.61it/s, loss: 0.4460, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0856, RCNNLoss.rcnn_loss_bbox: 0.1394, SampledMaskLoss.rcnn_loss_mask: 0.1921 [06/20 20:46:23] Vis4D INFO: Epoch 11: 9550/9726, ETA: 0:01:49, 1.61it/s, loss: 0.4120, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0255, RCNNLoss.rcnn_loss_cls: 0.0868, RCNNLoss.rcnn_loss_bbox: 0.1486, SampledMaskLoss.rcnn_loss_mask: 0.1433 [06/20 20:46:55] Vis4D INFO: Epoch 11: 9600/9726, ETA: 0:01:18, 1.61it/s, loss: 0.4327, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0802, RCNNLoss.rcnn_loss_bbox: 0.1399, SampledMaskLoss.rcnn_loss_mask: 0.1825 [06/20 20:47:24] Vis4D INFO: Epoch 11: 9650/9726, ETA: 0:00:47, 1.61it/s, loss: 0.3747, RPNLoss.loss_cls: 0.0068, RPNLoss.loss_bbox: 0.0158, RCNNLoss.rcnn_loss_cls: 0.0693, RCNNLoss.rcnn_loss_bbox: 0.1162, SampledMaskLoss.rcnn_loss_mask: 0.1665 [06/20 20:47:53] Vis4D INFO: Epoch 11: 9700/9726, ETA: 0:00:16, 1.61it/s, loss: 0.4207, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0834, RCNNLoss.rcnn_loss_bbox: 0.1400, SampledMaskLoss.rcnn_loss_mask: 0.1682 [06/20 20:48:25] Vis4D INFO: Testing: 50/1400, ETA: 0:07:42, 2.92it/s [06/20 20:48:40] Vis4D INFO: Testing: 100/1400, ETA: 0:06:52, 3.15it/s [06/20 20:48:51] Vis4D INFO: Testing: 150/1400, ETA: 0:05:54, 3.52it/s [06/20 20:49:03] Vis4D INFO: Testing: 200/1400, ETA: 0:05:27, 3.66it/s [06/20 20:49:16] Vis4D INFO: Testing: 250/1400, ETA: 0:05:13, 3.67it/s [06/20 20:49:26] Vis4D INFO: Testing: 300/1400, ETA: 0:04:45, 3.85it/s [06/20 20:49:35] Vis4D INFO: Testing: 350/1400, ETA: 0:04:20, 4.02it/s [06/20 20:49:49] Vis4D INFO: Testing: 400/1400, ETA: 0:04:13, 3.94it/s [06/20 20:50:04] Vis4D INFO: Testing: 450/1400, ETA: 0:04:06, 3.86it/s [06/20 20:50:15] Vis4D INFO: Testing: 500/1400, ETA: 0:03:49, 3.92it/s [06/20 20:50:29] Vis4D INFO: Testing: 550/1400, ETA: 0:03:37, 3.90it/s [06/20 20:50:48] Vis4D INFO: Testing: 600/1400, ETA: 0:03:33, 3.74it/s [06/20 20:51:03] Vis4D INFO: Testing: 650/1400, ETA: 0:03:22, 3.71it/s [06/20 20:51:13] Vis4D INFO: Testing: 700/1400, ETA: 0:03:05, 3.78it/s [06/20 20:51:26] Vis4D INFO: Testing: 750/1400, ETA: 0:02:51, 3.79it/s [06/20 20:51:35] Vis4D INFO: Testing: 800/1400, ETA: 0:02:35, 3.86it/s [06/20 20:51:47] Vis4D INFO: Testing: 850/1400, ETA: 0:02:21, 3.88it/s [06/20 20:51:57] Vis4D INFO: Testing: 900/1400, ETA: 0:02:07, 3.92it/s [06/20 20:52:12] Vis4D INFO: Testing: 950/1400, ETA: 0:01:55, 3.89it/s [06/20 20:52:22] Vis4D INFO: Testing: 1000/1400, ETA: 0:01:41, 3.94it/s [06/20 20:52:34] Vis4D INFO: Testing: 1050/1400, ETA: 0:01:28, 3.95it/s [06/20 20:52:46] Vis4D INFO: Testing: 1100/1400, ETA: 0:01:15, 3.96it/s [06/20 20:53:01] Vis4D INFO: Testing: 1150/1400, ETA: 0:01:03, 3.92it/s [06/20 20:53:15] Vis4D INFO: Testing: 1200/1400, ETA: 0:00:51, 3.90it/s [06/20 20:53:27] Vis4D INFO: Testing: 1250/1400, ETA: 0:00:38, 3.91it/s [06/20 20:53:37] Vis4D INFO: Testing: 1300/1400, ETA: 0:00:25, 3.95it/s [06/20 20:53:52] Vis4D INFO: Testing: 1350/1400, ETA: 0:00:12, 3.92it/s [06/20 20:54:06] Vis4D INFO: Testing: 1400/1400, ETA: 0:00:00, 3.91it/s [06/20 20:54:06] Vis4D INFO: Running evaluator Scalabel Tracking Evaluator... [06/20 20:54:19] Vis4D INFO: Det/AP: 43.4982 [06/20 20:54:19] Vis4D INFO: Det/AP50: 62.2632 [06/20 20:54:19] Vis4D INFO: Det/AP75: 48.5615 [06/20 20:54:19] Vis4D INFO: Det/APs: 25.6947 [06/20 20:54:19] Vis4D INFO: Det/APm: 71.3611 [06/20 20:54:19] Vis4D INFO: Det/APl: 87.3804 [06/20 20:54:19] Vis4D INFO: Det/AR1: 31.9619 [06/20 20:54:19] Vis4D INFO: Det/AR10: 47.3321 [06/20 20:54:19] Vis4D INFO: Det/AR100: 48.1430 [06/20 20:54:19] Vis4D INFO: Det/ARs: 31.3246 [06/20 20:54:19] Vis4D INFO: Det/ARm: 76.2577 [06/20 20:54:19] Vis4D INFO: Det/ARl: 90.2748 [06/20 20:54:19] Vis4D INFO: Det/AP/pedestrian: 41.2127 [06/20 20:54:19] Vis4D INFO: Det/AP/car: 50.2096 [06/20 20:54:19] Vis4D INFO: Det/AP/truck: 45.9467 [06/20 20:54:19] Vis4D INFO: Det/AP/bus: 40.9995 [06/20 20:54:19] Vis4D INFO: Det/AP/motorcycle: 44.2158 [06/20 20:54:19] Vis4D INFO: Det/AP/bicycle: 38.4050 [06/20 20:54:19] Vis4D INFO: Showing evaluation results for Det [06/20 20:54:19] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl --------------------------------------------------------------------------- pedestrian 41.2 66.0 44.8 31.3 76.2 86.3 12.1 41.1 45.1 36.1 80.1 89.7 car 50.2 67.8 54.8 29.6 73.0 91.9 20.9 53.4 54.3 34.5 77.8 94.5 truck 45.9 65.4 50.4 22.8 68.5 85.6 35.1 50.7 50.7 29.8 73.4 88.8 bus 41.0 59.6 45.4 28.8 77.0 92.1 42.4 47.3 47.3 36.6 80.6 94.9 motorcycle 44.2 60.2 51.9 23.8 74.6 82.0 42.0 48.3 48.3 27.8 79.3 84.3 bicycle 38.4 54.6 44.0 17.8 58.8 86.3 39.3 43.2 43.2 23.1 66.3 89.4 --------------------------------------------------------------------------- OVERALL 43.5 62.3 48.6 25.7 71.4 87.4 32.0 47.3 48.1 31.3 76.3 90.3 [06/20 20:54:42] Vis4D INFO: InsSeg/AP: 1.3034 [06/20 20:54:42] Vis4D INFO: InsSeg/AP50: 1.8267 [06/20 20:54:42] Vis4D INFO: InsSeg/AP75: 1.3685 [06/20 20:54:42] Vis4D INFO: InsSeg/APs: 0.7074 [06/20 20:54:42] Vis4D INFO: InsSeg/APm: 2.2152 [06/20 20:54:42] Vis4D INFO: InsSeg/APl: 3.3250 [06/20 20:54:42] Vis4D INFO: InsSeg/AR1: 0.8372 [06/20 20:54:42] Vis4D INFO: InsSeg/AR10: 1.0330 [06/20 20:54:42] Vis4D INFO: InsSeg/AR100: 1.0333 [06/20 20:54:42] Vis4D INFO: InsSeg/ARs: 0.6829 [06/20 20:54:42] Vis4D INFO: InsSeg/ARm: 2.0497 [06/20 20:54:42] Vis4D INFO: InsSeg/ARl: 3.1258 [06/20 20:54:42] Vis4D INFO: InsSeg/AP/pedestrian: 1.0804 [06/20 20:54:42] Vis4D INFO: InsSeg/AP/car: 1.8922 [06/20 20:54:42] Vis4D INFO: InsSeg/AP/truck: 1.2164 [06/20 20:54:42] Vis4D INFO: InsSeg/AP/bus: 1.1202 [06/20 20:54:42] Vis4D INFO: InsSeg/AP/motorcycle: 1.2947 [06/20 20:54:42] Vis4D INFO: InsSeg/AP/bicycle: 1.2164 [06/20 20:54:42] Vis4D INFO: Showing evaluation results for InsSeg [06/20 20:54:42] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl -------------------------------------------------------------------------- pedestrian 1.1 1.8 1.0 0.9 3.2 3.9 0.5 0.9 0.9 0.7 2.9 4.0 car 1.9 2.4 1.7 1.6 2.6 1.7 1.1 1.7 1.7 1.5 2.6 1.0 truck 1.2 1.6 1.0 0.3 0.9 4.1 0.8 0.9 0.9 0.5 0.4 4.2 bus 1.1 1.7 1.0 0.2 4.4 0.0 1.0 1.0 1.0 0.2 5.0 0.0 motorcycle 1.3 1.8 1.8 1.0 1.4 1.6 0.8 0.9 0.9 0.9 1.0 1.0 bicycle 1.2 1.7 1.7 0.3 0.8 8.6 0.8 0.8 0.8 0.3 0.6 8.5 -------------------------------------------------------------------------- OVERALL 1.3 1.8 1.4 0.7 2.2 3.3 0.8 1.0 1.0 0.7 2.0 3.1 [06/20 20:55:13] Vis4D INFO: Epoch 12: 50/9726, ETA: 1:34:35, 1.70it/s, loss: 0.4004, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0192, RCNNLoss.rcnn_loss_cls: 0.0711, RCNNLoss.rcnn_loss_bbox: 0.1238, SampledMaskLoss.rcnn_loss_mask: 0.1800 [06/20 20:55:43] Vis4D INFO: Epoch 12: 100/9726, ETA: 1:35:39, 1.68it/s, loss: 0.4128, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0167, RCNNLoss.rcnn_loss_cls: 0.0733, RCNNLoss.rcnn_loss_bbox: 0.1229, SampledMaskLoss.rcnn_loss_mask: 0.1935 [06/20 20:56:15] Vis4D INFO: Epoch 12: 150/9726, ETA: 1:37:28, 1.64it/s, loss: 0.3878, RPNLoss.loss_cls: 0.0056, RPNLoss.loss_bbox: 0.0170, RCNNLoss.rcnn_loss_cls: 0.0745, RCNNLoss.rcnn_loss_bbox: 0.1221, SampledMaskLoss.rcnn_loss_mask: 0.1685 [06/20 20:56:46] Vis4D INFO: Epoch 12: 200/9726, ETA: 1:37:31, 1.63it/s, loss: 0.4397, RPNLoss.loss_cls: 0.0091, RPNLoss.loss_bbox: 0.0196, RCNNLoss.rcnn_loss_cls: 0.0807, RCNNLoss.rcnn_loss_bbox: 0.1379, SampledMaskLoss.rcnn_loss_mask: 0.1923 [06/20 20:57:17] Vis4D INFO: Epoch 12: 250/9726, ETA: 1:36:47, 1.63it/s, loss: 0.4184, RPNLoss.loss_cls: 0.0051, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0764, RCNNLoss.rcnn_loss_bbox: 0.1292, SampledMaskLoss.rcnn_loss_mask: 0.1863 [06/20 20:57:48] Vis4D INFO: Epoch 12: 300/9726, ETA: 1:36:46, 1.62it/s, loss: 0.4419, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0841, RCNNLoss.rcnn_loss_bbox: 0.1398, SampledMaskLoss.rcnn_loss_mask: 0.1883 [06/20 20:58:19] Vis4D INFO: Epoch 12: 350/9726, ETA: 1:36:02, 1.63it/s, loss: 0.3228, RPNLoss.loss_cls: 0.0037, RPNLoss.loss_bbox: 0.0156, RCNNLoss.rcnn_loss_cls: 0.0569, RCNNLoss.rcnn_loss_bbox: 0.1050, SampledMaskLoss.rcnn_loss_mask: 0.1416 [06/20 20:58:48] Vis4D INFO: Epoch 12: 400/9726, ETA: 1:34:54, 1.64it/s, loss: 0.4133, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.0769, RCNNLoss.rcnn_loss_bbox: 0.1416, SampledMaskLoss.rcnn_loss_mask: 0.1640 [06/20 20:59:19] Vis4D INFO: Epoch 12: 450/9726, ETA: 1:34:33, 1.63it/s, loss: 0.4114, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0234, RCNNLoss.rcnn_loss_cls: 0.0804, RCNNLoss.rcnn_loss_bbox: 0.1340, SampledMaskLoss.rcnn_loss_mask: 0.1660 [06/20 20:59:47] Vis4D INFO: Epoch 12: 500/9726, ETA: 1:33:14, 1.65it/s, loss: 0.4059, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0173, RCNNLoss.rcnn_loss_cls: 0.0711, RCNNLoss.rcnn_loss_bbox: 0.1180, SampledMaskLoss.rcnn_loss_mask: 0.1935 [06/20 21:00:15] Vis4D INFO: Epoch 12: 550/9726, ETA: 1:32:14, 1.66it/s, loss: 0.4243, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0253, RCNNLoss.rcnn_loss_cls: 0.0814, RCNNLoss.rcnn_loss_bbox: 0.1470, SampledMaskLoss.rcnn_loss_mask: 0.1634 [06/20 21:00:43] Vis4D INFO: Epoch 12: 600/9726, ETA: 1:31:07, 1.67it/s, loss: 0.4353, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0210, RCNNLoss.rcnn_loss_cls: 0.0793, RCNNLoss.rcnn_loss_bbox: 0.1339, SampledMaskLoss.rcnn_loss_mask: 0.1934 [06/20 21:01:14] Vis4D INFO: Epoch 12: 650/9726, ETA: 1:30:48, 1.67it/s, loss: 0.4229, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0840, RCNNLoss.rcnn_loss_bbox: 0.1473, SampledMaskLoss.rcnn_loss_mask: 0.1618 [06/20 21:01:45] Vis4D INFO: Epoch 12: 700/9726, ETA: 1:30:34, 1.66it/s, loss: 0.4526, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0244, RCNNLoss.rcnn_loss_cls: 0.0820, RCNNLoss.rcnn_loss_bbox: 0.1399, SampledMaskLoss.rcnn_loss_mask: 0.1974 [06/20 21:02:16] Vis4D INFO: Epoch 12: 750/9726, ETA: 1:30:18, 1.66it/s, loss: 0.4165, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0212, RCNNLoss.rcnn_loss_cls: 0.0792, RCNNLoss.rcnn_loss_bbox: 0.1334, SampledMaskLoss.rcnn_loss_mask: 0.1744 [06/20 21:02:46] Vis4D INFO: Epoch 12: 800/9726, ETA: 1:29:44, 1.66it/s, loss: 0.4330, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0198, RCNNLoss.rcnn_loss_cls: 0.0819, RCNNLoss.rcnn_loss_bbox: 0.1307, SampledMaskLoss.rcnn_loss_mask: 0.1945 [06/20 21:03:17] Vis4D INFO: Epoch 12: 850/9726, ETA: 1:29:19, 1.66it/s, loss: 0.4476, RPNLoss.loss_cls: 0.0100, RPNLoss.loss_bbox: 0.0273, RCNNLoss.rcnn_loss_cls: 0.0890, RCNNLoss.rcnn_loss_bbox: 0.1518, SampledMaskLoss.rcnn_loss_mask: 0.1695 [06/20 21:03:46] Vis4D INFO: Epoch 12: 900/9726, ETA: 1:28:44, 1.66it/s, loss: 0.4127, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0781, RCNNLoss.rcnn_loss_bbox: 0.1396, SampledMaskLoss.rcnn_loss_mask: 0.1665 [06/20 21:04:15] Vis4D INFO: Epoch 12: 950/9726, ETA: 1:28:02, 1.66it/s, loss: 0.4396, RPNLoss.loss_cls: 0.0106, RPNLoss.loss_bbox: 0.0285, RCNNLoss.rcnn_loss_cls: 0.0860, RCNNLoss.rcnn_loss_bbox: 0.1555, SampledMaskLoss.rcnn_loss_mask: 0.1590 [06/20 21:04:43] Vis4D INFO: Epoch 12: 1000/9726, ETA: 1:27:10, 1.67it/s, loss: 0.3857, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0172, RCNNLoss.rcnn_loss_cls: 0.0738, RCNNLoss.rcnn_loss_bbox: 0.1253, SampledMaskLoss.rcnn_loss_mask: 0.1634 [06/20 21:05:11] Vis4D INFO: Epoch 12: 1050/9726, ETA: 1:26:26, 1.67it/s, loss: 0.4027, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0192, RCNNLoss.rcnn_loss_cls: 0.0761, RCNNLoss.rcnn_loss_bbox: 0.1314, SampledMaskLoss.rcnn_loss_mask: 0.1690 [06/20 21:05:39] Vis4D INFO: Epoch 12: 1100/9726, ETA: 1:25:37, 1.68it/s, loss: 0.4112, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0830, RCNNLoss.rcnn_loss_bbox: 0.1380, SampledMaskLoss.rcnn_loss_mask: 0.1585 [06/20 21:06:08] Vis4D INFO: Epoch 12: 1150/9726, ETA: 1:25:01, 1.68it/s, loss: 0.4178, RPNLoss.loss_cls: 0.0048, RPNLoss.loss_bbox: 0.0187, RCNNLoss.rcnn_loss_cls: 0.0764, RCNNLoss.rcnn_loss_bbox: 0.1405, SampledMaskLoss.rcnn_loss_mask: 0.1774 [06/20 21:06:40] Vis4D INFO: Epoch 12: 1200/9726, ETA: 1:24:50, 1.67it/s, loss: 0.4012, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0206, RCNNLoss.rcnn_loss_cls: 0.0806, RCNNLoss.rcnn_loss_bbox: 0.1365, SampledMaskLoss.rcnn_loss_mask: 0.1556 [06/20 21:07:10] Vis4D INFO: Epoch 12: 1250/9726, ETA: 1:24:22, 1.67it/s, loss: 0.3814, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0191, RCNNLoss.rcnn_loss_cls: 0.0809, RCNNLoss.rcnn_loss_bbox: 0.1301, SampledMaskLoss.rcnn_loss_mask: 0.1453 [06/20 21:07:41] Vis4D INFO: Epoch 12: 1300/9726, ETA: 1:23:57, 1.67it/s, loss: 0.4125, RPNLoss.loss_cls: 0.0068, RPNLoss.loss_bbox: 0.0209, RCNNLoss.rcnn_loss_cls: 0.0789, RCNNLoss.rcnn_loss_bbox: 0.1388, SampledMaskLoss.rcnn_loss_mask: 0.1672 [06/20 21:08:11] Vis4D INFO: Epoch 12: 1350/9726, ETA: 1:23:27, 1.67it/s, loss: 0.4396, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0210, RCNNLoss.rcnn_loss_cls: 0.0875, RCNNLoss.rcnn_loss_bbox: 0.1487, SampledMaskLoss.rcnn_loss_mask: 0.1755 [06/20 21:08:41] Vis4D INFO: Epoch 12: 1400/9726, ETA: 1:22:57, 1.67it/s, loss: 0.3888, RPNLoss.loss_cls: 0.0058, RPNLoss.loss_bbox: 0.0168, RCNNLoss.rcnn_loss_cls: 0.0734, RCNNLoss.rcnn_loss_bbox: 0.1246, SampledMaskLoss.rcnn_loss_mask: 0.1682 [06/20 21:09:13] Vis4D INFO: Epoch 12: 1450/9726, ETA: 1:22:40, 1.67it/s, loss: 0.4223, RPNLoss.loss_cls: 0.0048, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0779, RCNNLoss.rcnn_loss_bbox: 0.1362, SampledMaskLoss.rcnn_loss_mask: 0.1829 [06/20 21:09:44] Vis4D INFO: Epoch 12: 1500/9726, ETA: 1:22:16, 1.67it/s, loss: 0.4025, RPNLoss.loss_cls: 0.0058, RPNLoss.loss_bbox: 0.0167, RCNNLoss.rcnn_loss_cls: 0.0658, RCNNLoss.rcnn_loss_bbox: 0.1209, SampledMaskLoss.rcnn_loss_mask: 0.1933 [06/20 21:10:11] Vis4D INFO: Epoch 12: 1550/9726, ETA: 1:21:32, 1.67it/s, loss: 0.3571, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0170, RCNNLoss.rcnn_loss_cls: 0.0626, RCNNLoss.rcnn_loss_bbox: 0.1165, SampledMaskLoss.rcnn_loss_mask: 0.1548 [06/20 21:10:37] Vis4D INFO: Epoch 12: 1600/9726, ETA: 1:20:44, 1.68it/s, loss: 0.4051, RPNLoss.loss_cls: 0.0057, RPNLoss.loss_bbox: 0.0200, RCNNLoss.rcnn_loss_cls: 0.0731, RCNNLoss.rcnn_loss_bbox: 0.1319, SampledMaskLoss.rcnn_loss_mask: 0.1744 [06/20 21:11:06] Vis4D INFO: Epoch 12: 1650/9726, ETA: 1:20:08, 1.68it/s, loss: 0.3801, RPNLoss.loss_cls: 0.0058, RPNLoss.loss_bbox: 0.0206, RCNNLoss.rcnn_loss_cls: 0.0755, RCNNLoss.rcnn_loss_bbox: 0.1339, SampledMaskLoss.rcnn_loss_mask: 0.1443 [06/20 21:11:35] Vis4D INFO: Epoch 12: 1700/9726, ETA: 1:19:32, 1.68it/s, loss: 0.4234, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0235, RCNNLoss.rcnn_loss_cls: 0.0847, RCNNLoss.rcnn_loss_bbox: 0.1358, SampledMaskLoss.rcnn_loss_mask: 0.1711 [06/20 21:12:04] Vis4D INFO: Epoch 12: 1750/9726, ETA: 1:19:00, 1.68it/s, loss: 0.4310, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0248, RCNNLoss.rcnn_loss_cls: 0.0824, RCNNLoss.rcnn_loss_bbox: 0.1517, SampledMaskLoss.rcnn_loss_mask: 0.1659 [06/20 21:12:32] Vis4D INFO: Epoch 12: 1800/9726, ETA: 1:18:24, 1.68it/s, loss: 0.3565, RPNLoss.loss_cls: 0.0050, RPNLoss.loss_bbox: 0.0166, RCNNLoss.rcnn_loss_cls: 0.0659, RCNNLoss.rcnn_loss_bbox: 0.1194, SampledMaskLoss.rcnn_loss_mask: 0.1496 [06/20 21:13:01] Vis4D INFO: Epoch 12: 1850/9726, ETA: 1:17:52, 1.69it/s, loss: 0.4179, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0223, RCNNLoss.rcnn_loss_cls: 0.0795, RCNNLoss.rcnn_loss_bbox: 0.1326, SampledMaskLoss.rcnn_loss_mask: 0.1751 [06/20 21:13:28] Vis4D INFO: Epoch 12: 1900/9726, ETA: 1:17:11, 1.69it/s, loss: 0.4270, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0231, RCNNLoss.rcnn_loss_cls: 0.0809, RCNNLoss.rcnn_loss_bbox: 0.1411, SampledMaskLoss.rcnn_loss_mask: 0.1734 [06/20 21:13:58] Vis4D INFO: Epoch 12: 1950/9726, ETA: 1:16:42, 1.69it/s, loss: 0.3945, RPNLoss.loss_cls: 0.0053, RPNLoss.loss_bbox: 0.0198, RCNNLoss.rcnn_loss_cls: 0.0752, RCNNLoss.rcnn_loss_bbox: 0.1319, SampledMaskLoss.rcnn_loss_mask: 0.1623 [06/20 21:14:25] Vis4D INFO: Epoch 12: 2000/9726, ETA: 1:16:05, 1.69it/s, loss: 0.3889, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0213, RCNNLoss.rcnn_loss_cls: 0.0802, RCNNLoss.rcnn_loss_bbox: 0.1295, SampledMaskLoss.rcnn_loss_mask: 0.1498 [06/20 21:14:54] Vis4D INFO: Epoch 12: 2050/9726, ETA: 1:15:31, 1.69it/s, loss: 0.4238, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0206, RCNNLoss.rcnn_loss_cls: 0.0796, RCNNLoss.rcnn_loss_bbox: 0.1420, SampledMaskLoss.rcnn_loss_mask: 0.1748 [06/20 21:15:23] Vis4D INFO: Epoch 12: 2100/9726, ETA: 1:15:01, 1.69it/s, loss: 0.3966, RPNLoss.loss_cls: 0.0055, RPNLoss.loss_bbox: 0.0179, RCNNLoss.rcnn_loss_cls: 0.0795, RCNNLoss.rcnn_loss_bbox: 0.1303, SampledMaskLoss.rcnn_loss_mask: 0.1634 [06/20 21:15:52] Vis4D INFO: Epoch 12: 2150/9726, ETA: 1:14:28, 1.70it/s, loss: 0.4404, RPNLoss.loss_cls: 0.0078, RPNLoss.loss_bbox: 0.0225, RCNNLoss.rcnn_loss_cls: 0.0823, RCNNLoss.rcnn_loss_bbox: 0.1416, SampledMaskLoss.rcnn_loss_mask: 0.1862 [06/20 21:16:19] Vis4D INFO: Epoch 12: 2200/9726, ETA: 1:13:52, 1.70it/s, loss: 0.3739, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0187, RCNNLoss.rcnn_loss_cls: 0.0658, RCNNLoss.rcnn_loss_bbox: 0.1208, SampledMaskLoss.rcnn_loss_mask: 0.1615 [06/20 21:16:49] Vis4D INFO: Epoch 12: 2250/9726, ETA: 1:13:25, 1.70it/s, loss: 0.4078, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.0883, RCNNLoss.rcnn_loss_bbox: 0.1480, SampledMaskLoss.rcnn_loss_mask: 0.1364 [06/20 21:17:19] Vis4D INFO: Epoch 12: 2300/9726, ETA: 1:12:57, 1.70it/s, loss: 0.3931, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0203, RCNNLoss.rcnn_loss_cls: 0.0709, RCNNLoss.rcnn_loss_bbox: 0.1295, SampledMaskLoss.rcnn_loss_mask: 0.1653 [06/20 21:17:51] Vis4D INFO: Epoch 12: 2350/9726, ETA: 1:12:35, 1.69it/s, loss: 0.4384, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0887, RCNNLoss.rcnn_loss_bbox: 0.1535, SampledMaskLoss.rcnn_loss_mask: 0.1658 [06/20 21:18:21] Vis4D INFO: Epoch 12: 2400/9726, ETA: 1:12:07, 1.69it/s, loss: 0.4472, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.0856, RCNNLoss.rcnn_loss_bbox: 0.1507, SampledMaskLoss.rcnn_loss_mask: 0.1793 [06/20 21:18:53] Vis4D INFO: Epoch 12: 2450/9726, ETA: 1:11:44, 1.69it/s, loss: 0.3670, RPNLoss.loss_cls: 0.0048, RPNLoss.loss_bbox: 0.0170, RCNNLoss.rcnn_loss_cls: 0.0611, RCNNLoss.rcnn_loss_bbox: 0.1131, SampledMaskLoss.rcnn_loss_mask: 0.1710 [06/20 21:19:24] Vis4D INFO: Epoch 12: 2500/9726, ETA: 1:11:18, 1.69it/s, loss: 0.3749, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0171, RCNNLoss.rcnn_loss_cls: 0.0681, RCNNLoss.rcnn_loss_bbox: 0.1144, SampledMaskLoss.rcnn_loss_mask: 0.1688 [06/20 21:19:55] Vis4D INFO: Epoch 12: 2550/9726, ETA: 1:10:52, 1.69it/s, loss: 0.3768, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0186, RCNNLoss.rcnn_loss_cls: 0.0729, RCNNLoss.rcnn_loss_bbox: 0.1273, SampledMaskLoss.rcnn_loss_mask: 0.1520 [06/20 21:20:24] Vis4D INFO: Epoch 12: 2600/9726, ETA: 1:10:20, 1.69it/s, loss: 0.4179, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0788, RCNNLoss.rcnn_loss_bbox: 0.1375, SampledMaskLoss.rcnn_loss_mask: 0.1706 [06/20 21:20:54] Vis4D INFO: Epoch 12: 2650/9726, ETA: 1:09:52, 1.69it/s, loss: 0.4232, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0819, RCNNLoss.rcnn_loss_bbox: 0.1432, SampledMaskLoss.rcnn_loss_mask: 0.1671 [06/20 21:21:25] Vis4D INFO: Epoch 12: 2700/9726, ETA: 1:09:28, 1.69it/s, loss: 0.4181, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.0806, RCNNLoss.rcnn_loss_bbox: 0.1452, SampledMaskLoss.rcnn_loss_mask: 0.1628 [06/20 21:21:57] Vis4D INFO: Epoch 12: 2750/9726, ETA: 1:09:02, 1.68it/s, loss: 0.3836, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0218, RCNNLoss.rcnn_loss_cls: 0.0790, RCNNLoss.rcnn_loss_bbox: 0.1419, SampledMaskLoss.rcnn_loss_mask: 0.1348 [06/20 21:22:30] Vis4D INFO: Epoch 12: 2800/9726, ETA: 1:08:41, 1.68it/s, loss: 0.3984, RPNLoss.loss_cls: 0.0051, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0764, RCNNLoss.rcnn_loss_bbox: 0.1327, SampledMaskLoss.rcnn_loss_mask: 0.1627 [06/20 21:23:01] Vis4D INFO: Epoch 12: 2850/9726, ETA: 1:08:16, 1.68it/s, loss: 0.4471, RPNLoss.loss_cls: 0.0111, RPNLoss.loss_bbox: 0.0250, RCNNLoss.rcnn_loss_cls: 0.0784, RCNNLoss.rcnn_loss_bbox: 0.1368, SampledMaskLoss.rcnn_loss_mask: 0.1957 [06/20 21:23:33] Vis4D INFO: Epoch 12: 2900/9726, ETA: 1:07:51, 1.68it/s, loss: 0.3620, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0197, RCNNLoss.rcnn_loss_cls: 0.0710, RCNNLoss.rcnn_loss_bbox: 0.1255, SampledMaskLoss.rcnn_loss_mask: 0.1390 [06/20 21:24:05] Vis4D INFO: Epoch 12: 2950/9726, ETA: 1:07:24, 1.68it/s, loss: 0.3917, RPNLoss.loss_cls: 0.0068, RPNLoss.loss_bbox: 0.0206, RCNNLoss.rcnn_loss_cls: 0.0745, RCNNLoss.rcnn_loss_bbox: 0.1328, SampledMaskLoss.rcnn_loss_mask: 0.1570 [06/20 21:24:38] Vis4D INFO: Epoch 12: 3000/9726, ETA: 1:07:03, 1.67it/s, loss: 0.4123, RPNLoss.loss_cls: 0.0065, RPNLoss.loss_bbox: 0.0209, RCNNLoss.rcnn_loss_cls: 0.0825, RCNNLoss.rcnn_loss_bbox: 0.1359, SampledMaskLoss.rcnn_loss_mask: 0.1665 [06/20 21:25:09] Vis4D INFO: Epoch 12: 3050/9726, ETA: 1:06:34, 1.67it/s, loss: 0.4429, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0263, RCNNLoss.rcnn_loss_cls: 0.0903, RCNNLoss.rcnn_loss_bbox: 0.1469, SampledMaskLoss.rcnn_loss_mask: 0.1705 [06/20 21:25:39] Vis4D INFO: Epoch 12: 3100/9726, ETA: 1:06:06, 1.67it/s, loss: 0.3867, RPNLoss.loss_cls: 0.0059, RPNLoss.loss_bbox: 0.0176, RCNNLoss.rcnn_loss_cls: 0.0682, RCNNLoss.rcnn_loss_bbox: 0.1232, SampledMaskLoss.rcnn_loss_mask: 0.1717 [06/20 21:26:10] Vis4D INFO: Epoch 12: 3150/9726, ETA: 1:05:38, 1.67it/s, loss: 0.3723, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0149, RCNNLoss.rcnn_loss_cls: 0.0665, RCNNLoss.rcnn_loss_bbox: 0.1116, SampledMaskLoss.rcnn_loss_mask: 0.1724 [06/20 21:26:42] Vis4D INFO: Epoch 12: 3200/9726, ETA: 1:05:12, 1.67it/s, loss: 0.4223, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0259, RCNNLoss.rcnn_loss_cls: 0.0904, RCNNLoss.rcnn_loss_bbox: 0.1542, SampledMaskLoss.rcnn_loss_mask: 0.1449 [06/20 21:27:13] Vis4D INFO: Epoch 12: 3250/9726, ETA: 1:04:44, 1.67it/s, loss: 0.3773, RPNLoss.loss_cls: 0.0057, RPNLoss.loss_bbox: 0.0189, RCNNLoss.rcnn_loss_cls: 0.0722, RCNNLoss.rcnn_loss_bbox: 0.1261, SampledMaskLoss.rcnn_loss_mask: 0.1544 [06/20 21:27:44] Vis4D INFO: Epoch 12: 3300/9726, ETA: 1:04:16, 1.67it/s, loss: 0.4041, RPNLoss.loss_cls: 0.0053, RPNLoss.loss_bbox: 0.0186, RCNNLoss.rcnn_loss_cls: 0.0687, RCNNLoss.rcnn_loss_bbox: 0.1278, SampledMaskLoss.rcnn_loss_mask: 0.1837 [06/20 21:28:16] Vis4D INFO: Epoch 12: 3350/9726, ETA: 1:03:49, 1.66it/s, loss: 0.4014, RPNLoss.loss_cls: 0.0100, RPNLoss.loss_bbox: 0.0209, RCNNLoss.rcnn_loss_cls: 0.0741, RCNNLoss.rcnn_loss_bbox: 0.1302, SampledMaskLoss.rcnn_loss_mask: 0.1662 [06/20 21:28:46] Vis4D INFO: Epoch 12: 3400/9726, ETA: 1:03:20, 1.66it/s, loss: 0.4115, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0210, RCNNLoss.rcnn_loss_cls: 0.0813, RCNNLoss.rcnn_loss_bbox: 0.1377, SampledMaskLoss.rcnn_loss_mask: 0.1653 [06/20 21:29:17] Vis4D INFO: Epoch 12: 3450/9726, ETA: 1:02:51, 1.66it/s, loss: 0.4360, RPNLoss.loss_cls: 0.0097, RPNLoss.loss_bbox: 0.0232, RCNNLoss.rcnn_loss_cls: 0.0846, RCNNLoss.rcnn_loss_bbox: 0.1413, SampledMaskLoss.rcnn_loss_mask: 0.1772 [06/20 21:29:48] Vis4D INFO: Epoch 12: 3500/9726, ETA: 1:02:24, 1.66it/s, loss: 0.4044, RPNLoss.loss_cls: 0.0118, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0778, RCNNLoss.rcnn_loss_bbox: 0.1298, SampledMaskLoss.rcnn_loss_mask: 0.1635 [06/20 21:30:18] Vis4D INFO: Epoch 12: 3550/9726, ETA: 1:01:53, 1.66it/s, loss: 0.4230, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0802, RCNNLoss.rcnn_loss_bbox: 0.1309, SampledMaskLoss.rcnn_loss_mask: 0.1834 [06/20 21:30:48] Vis4D INFO: Epoch 12: 3600/9726, ETA: 1:01:23, 1.66it/s, loss: 0.4513, RPNLoss.loss_cls: 0.0056, RPNLoss.loss_bbox: 0.0217, RCNNLoss.rcnn_loss_cls: 0.0841, RCNNLoss.rcnn_loss_bbox: 0.1461, SampledMaskLoss.rcnn_loss_mask: 0.1939 [06/20 21:31:17] Vis4D INFO: Epoch 12: 3650/9726, ETA: 1:00:51, 1.66it/s, loss: 0.3848, RPNLoss.loss_cls: 0.0065, RPNLoss.loss_bbox: 0.0211, RCNNLoss.rcnn_loss_cls: 0.0711, RCNNLoss.rcnn_loss_bbox: 0.1281, SampledMaskLoss.rcnn_loss_mask: 0.1579 [06/20 21:31:46] Vis4D INFO: Epoch 12: 3700/9726, ETA: 1:00:19, 1.66it/s, loss: 0.3772, RPNLoss.loss_cls: 0.0059, RPNLoss.loss_bbox: 0.0178, RCNNLoss.rcnn_loss_cls: 0.0734, RCNNLoss.rcnn_loss_bbox: 0.1220, SampledMaskLoss.rcnn_loss_mask: 0.1583 [06/20 21:32:15] Vis4D INFO: Epoch 12: 3750/9726, ETA: 0:59:47, 1.67it/s, loss: 0.4089, RPNLoss.loss_cls: 0.0057, RPNLoss.loss_bbox: 0.0204, RCNNLoss.rcnn_loss_cls: 0.0774, RCNNLoss.rcnn_loss_bbox: 0.1327, SampledMaskLoss.rcnn_loss_mask: 0.1726 [06/20 21:32:44] Vis4D INFO: Epoch 12: 3800/9726, ETA: 0:59:16, 1.67it/s, loss: 0.3987, RPNLoss.loss_cls: 0.0092, RPNLoss.loss_bbox: 0.0199, RCNNLoss.rcnn_loss_cls: 0.0697, RCNNLoss.rcnn_loss_bbox: 0.1336, SampledMaskLoss.rcnn_loss_mask: 0.1663 [06/20 21:33:14] Vis4D INFO: Epoch 12: 3850/9726, ETA: 0:58:46, 1.67it/s, loss: 0.4310, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0207, RCNNLoss.rcnn_loss_cls: 0.0798, RCNNLoss.rcnn_loss_bbox: 0.1386, SampledMaskLoss.rcnn_loss_mask: 0.1856 [06/20 21:33:44] Vis4D INFO: Epoch 12: 3900/9726, ETA: 0:58:15, 1.67it/s, loss: 0.4078, RPNLoss.loss_cls: 0.0050, RPNLoss.loss_bbox: 0.0169, RCNNLoss.rcnn_loss_cls: 0.0695, RCNNLoss.rcnn_loss_bbox: 0.1284, SampledMaskLoss.rcnn_loss_mask: 0.1880 [06/20 21:34:14] Vis4D INFO: Epoch 12: 3950/9726, ETA: 0:57:45, 1.67it/s, loss: 0.4520, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0906, RCNNLoss.rcnn_loss_bbox: 0.1508, SampledMaskLoss.rcnn_loss_mask: 0.1804 [06/20 21:34:44] Vis4D INFO: Epoch 12: 4000/9726, ETA: 0:57:15, 1.67it/s, loss: 0.4402, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0260, RCNNLoss.rcnn_loss_cls: 0.0853, RCNNLoss.rcnn_loss_bbox: 0.1536, SampledMaskLoss.rcnn_loss_mask: 0.1683 [06/20 21:35:14] Vis4D INFO: Epoch 12: 4050/9726, ETA: 0:56:46, 1.67it/s, loss: 0.4045, RPNLoss.loss_cls: 0.0096, RPNLoss.loss_bbox: 0.0217, RCNNLoss.rcnn_loss_cls: 0.0814, RCNNLoss.rcnn_loss_bbox: 0.1391, SampledMaskLoss.rcnn_loss_mask: 0.1526 [06/20 21:35:40] Vis4D INFO: Epoch 12: 4100/9726, ETA: 0:56:10, 1.67it/s, loss: 0.3675, RPNLoss.loss_cls: 0.0053, RPNLoss.loss_bbox: 0.0200, RCNNLoss.rcnn_loss_cls: 0.0688, RCNNLoss.rcnn_loss_bbox: 0.1259, SampledMaskLoss.rcnn_loss_mask: 0.1474 [06/20 21:36:07] Vis4D INFO: Epoch 12: 4150/9726, ETA: 0:55:36, 1.67it/s, loss: 0.4122, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0202, RCNNLoss.rcnn_loss_cls: 0.0751, RCNNLoss.rcnn_loss_bbox: 0.1330, SampledMaskLoss.rcnn_loss_mask: 0.1778 [06/20 21:36:36] Vis4D INFO: Epoch 12: 4200/9726, ETA: 0:55:05, 1.67it/s, loss: 0.4264, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0210, RCNNLoss.rcnn_loss_cls: 0.0892, RCNNLoss.rcnn_loss_bbox: 0.1393, SampledMaskLoss.rcnn_loss_mask: 0.1695 [06/20 21:37:04] Vis4D INFO: Epoch 12: 4250/9726, ETA: 0:54:33, 1.67it/s, loss: 0.4442, RPNLoss.loss_cls: 0.0089, RPNLoss.loss_bbox: 0.0258, RCNNLoss.rcnn_loss_cls: 0.0868, RCNNLoss.rcnn_loss_bbox: 0.1444, SampledMaskLoss.rcnn_loss_mask: 0.1783 [06/20 21:37:34] Vis4D INFO: Epoch 12: 4300/9726, ETA: 0:54:03, 1.67it/s, loss: 0.3836, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0187, RCNNLoss.rcnn_loss_cls: 0.0781, RCNNLoss.rcnn_loss_bbox: 0.1266, SampledMaskLoss.rcnn_loss_mask: 0.1538 [06/20 21:38:05] Vis4D INFO: Epoch 12: 4350/9726, ETA: 0:53:34, 1.67it/s, loss: 0.4239, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0206, RCNNLoss.rcnn_loss_cls: 0.0801, RCNNLoss.rcnn_loss_bbox: 0.1348, SampledMaskLoss.rcnn_loss_mask: 0.1815 [06/20 21:38:34] Vis4D INFO: Epoch 12: 4400/9726, ETA: 0:53:04, 1.67it/s, loss: 0.3948, RPNLoss.loss_cls: 0.0054, RPNLoss.loss_bbox: 0.0209, RCNNLoss.rcnn_loss_cls: 0.0749, RCNNLoss.rcnn_loss_bbox: 0.1377, SampledMaskLoss.rcnn_loss_mask: 0.1560 [06/20 21:39:06] Vis4D INFO: Epoch 12: 4450/9726, ETA: 0:52:36, 1.67it/s, loss: 0.4220, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0249, RCNNLoss.rcnn_loss_cls: 0.0835, RCNNLoss.rcnn_loss_bbox: 0.1437, SampledMaskLoss.rcnn_loss_mask: 0.1619 [06/20 21:39:37] Vis4D INFO: Epoch 12: 4500/9726, ETA: 0:52:07, 1.67it/s, loss: 0.3986, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0809, RCNNLoss.rcnn_loss_bbox: 0.1349, SampledMaskLoss.rcnn_loss_mask: 0.1512 [06/20 21:40:08] Vis4D INFO: Epoch 12: 4550/9726, ETA: 0:51:39, 1.67it/s, loss: 0.3826, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0217, RCNNLoss.rcnn_loss_cls: 0.0703, RCNNLoss.rcnn_loss_bbox: 0.1209, SampledMaskLoss.rcnn_loss_mask: 0.1637 [06/20 21:40:39] Vis4D INFO: Epoch 12: 4600/9726, ETA: 0:51:10, 1.67it/s, loss: 0.4143, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0246, RCNNLoss.rcnn_loss_cls: 0.0813, RCNNLoss.rcnn_loss_bbox: 0.1395, SampledMaskLoss.rcnn_loss_mask: 0.1608 [06/20 21:41:08] Vis4D INFO: Epoch 12: 4650/9726, ETA: 0:50:39, 1.67it/s, loss: 0.4054, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.0823, RCNNLoss.rcnn_loss_bbox: 0.1446, SampledMaskLoss.rcnn_loss_mask: 0.1480 [06/20 21:41:38] Vis4D INFO: Epoch 12: 4700/9726, ETA: 0:50:09, 1.67it/s, loss: 0.3984, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0192, RCNNLoss.rcnn_loss_cls: 0.0783, RCNNLoss.rcnn_loss_bbox: 0.1259, SampledMaskLoss.rcnn_loss_mask: 0.1671 [06/20 21:42:09] Vis4D INFO: Epoch 12: 4750/9726, ETA: 0:49:40, 1.67it/s, loss: 0.4224, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0901, RCNNLoss.rcnn_loss_bbox: 0.1468, SampledMaskLoss.rcnn_loss_mask: 0.1544 [06/20 21:42:38] Vis4D INFO: Epoch 12: 4800/9726, ETA: 0:49:09, 1.67it/s, loss: 0.4260, RPNLoss.loss_cls: 0.0067, RPNLoss.loss_bbox: 0.0247, RCNNLoss.rcnn_loss_cls: 0.0740, RCNNLoss.rcnn_loss_bbox: 0.1393, SampledMaskLoss.rcnn_loss_mask: 0.1813 [06/20 21:43:08] Vis4D INFO: Epoch 12: 4850/9726, ETA: 0:48:39, 1.67it/s, loss: 0.4007, RPNLoss.loss_cls: 0.0079, RPNLoss.loss_bbox: 0.0218, RCNNLoss.rcnn_loss_cls: 0.0799, RCNNLoss.rcnn_loss_bbox: 0.1350, SampledMaskLoss.rcnn_loss_mask: 0.1561 [06/20 21:43:35] Vis4D INFO: Epoch 12: 4900/9726, ETA: 0:48:07, 1.67it/s, loss: 0.3761, RPNLoss.loss_cls: 0.0072, RPNLoss.loss_bbox: 0.0206, RCNNLoss.rcnn_loss_cls: 0.0699, RCNNLoss.rcnn_loss_bbox: 0.1234, SampledMaskLoss.rcnn_loss_mask: 0.1550 [06/20 21:44:03] Vis4D INFO: Epoch 12: 4950/9726, ETA: 0:47:35, 1.67it/s, loss: 0.4235, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.0838, RCNNLoss.rcnn_loss_bbox: 0.1445, SampledMaskLoss.rcnn_loss_mask: 0.1664 [06/20 21:44:33] Vis4D INFO: Epoch 12: 5000/9726, ETA: 0:47:05, 1.67it/s, loss: 0.3376, RPNLoss.loss_cls: 0.0058, RPNLoss.loss_bbox: 0.0190, RCNNLoss.rcnn_loss_cls: 0.0685, RCNNLoss.rcnn_loss_bbox: 0.1230, SampledMaskLoss.rcnn_loss_mask: 0.1213 [06/20 21:45:03] Vis4D INFO: Epoch 12: 5050/9726, ETA: 0:46:36, 1.67it/s, loss: 0.3755, RPNLoss.loss_cls: 0.0057, RPNLoss.loss_bbox: 0.0184, RCNNLoss.rcnn_loss_cls: 0.0748, RCNNLoss.rcnn_loss_bbox: 0.1265, SampledMaskLoss.rcnn_loss_mask: 0.1501 [06/20 21:45:34] Vis4D INFO: Epoch 12: 5100/9726, ETA: 0:46:07, 1.67it/s, loss: 0.4325, RPNLoss.loss_cls: 0.0073, RPNLoss.loss_bbox: 0.0187, RCNNLoss.rcnn_loss_cls: 0.0848, RCNNLoss.rcnn_loss_bbox: 0.1410, SampledMaskLoss.rcnn_loss_mask: 0.1807 [06/20 21:46:07] Vis4D INFO: Epoch 12: 5150/9726, ETA: 0:45:39, 1.67it/s, loss: 0.3658, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0213, RCNNLoss.rcnn_loss_cls: 0.0669, RCNNLoss.rcnn_loss_bbox: 0.1196, SampledMaskLoss.rcnn_loss_mask: 0.1516 [06/20 21:46:39] Vis4D INFO: Epoch 12: 5200/9726, ETA: 0:45:11, 1.67it/s, loss: 0.4107, RPNLoss.loss_cls: 0.0067, RPNLoss.loss_bbox: 0.0184, RCNNLoss.rcnn_loss_cls: 0.0790, RCNNLoss.rcnn_loss_bbox: 0.1321, SampledMaskLoss.rcnn_loss_mask: 0.1746 [06/20 21:47:07] Vis4D INFO: Epoch 12: 5250/9726, ETA: 0:44:40, 1.67it/s, loss: 0.4212, RPNLoss.loss_cls: 0.0108, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0879, RCNNLoss.rcnn_loss_bbox: 0.1429, SampledMaskLoss.rcnn_loss_mask: 0.1545 [06/20 21:47:37] Vis4D INFO: Epoch 12: 5300/9726, ETA: 0:44:10, 1.67it/s, loss: 0.4120, RPNLoss.loss_cls: 0.0075, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0796, RCNNLoss.rcnn_loss_bbox: 0.1385, SampledMaskLoss.rcnn_loss_mask: 0.1642 [06/20 21:48:07] Vis4D INFO: Epoch 12: 5350/9726, ETA: 0:43:40, 1.67it/s, loss: 0.4501, RPNLoss.loss_cls: 0.0052, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0843, RCNNLoss.rcnn_loss_bbox: 0.1557, SampledMaskLoss.rcnn_loss_mask: 0.1819 [06/20 21:48:37] Vis4D INFO: Epoch 12: 5400/9726, ETA: 0:43:10, 1.67it/s, loss: 0.4178, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0241, RCNNLoss.rcnn_loss_cls: 0.0823, RCNNLoss.rcnn_loss_bbox: 0.1427, SampledMaskLoss.rcnn_loss_mask: 0.1603 [06/20 21:49:08] Vis4D INFO: Epoch 12: 5450/9726, ETA: 0:42:41, 1.67it/s, loss: 0.4580, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0220, RCNNLoss.rcnn_loss_cls: 0.0851, RCNNLoss.rcnn_loss_bbox: 0.1361, SampledMaskLoss.rcnn_loss_mask: 0.2061 [06/20 21:49:36] Vis4D INFO: Epoch 12: 5500/9726, ETA: 0:42:09, 1.67it/s, loss: 0.3935, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0193, RCNNLoss.rcnn_loss_cls: 0.0712, RCNNLoss.rcnn_loss_bbox: 0.1215, SampledMaskLoss.rcnn_loss_mask: 0.1753 [06/20 21:50:10] Vis4D INFO: Epoch 12: 5550/9726, ETA: 0:41:42, 1.67it/s, loss: 0.5130, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0267, RCNNLoss.rcnn_loss_cls: 0.0967, RCNNLoss.rcnn_loss_bbox: 0.1667, SampledMaskLoss.rcnn_loss_mask: 0.2155 [06/20 21:50:40] Vis4D INFO: Epoch 12: 5600/9726, ETA: 0:41:13, 1.67it/s, loss: 0.3501, RPNLoss.loss_cls: 0.0051, RPNLoss.loss_bbox: 0.0180, RCNNLoss.rcnn_loss_cls: 0.0672, RCNNLoss.rcnn_loss_bbox: 0.1222, SampledMaskLoss.rcnn_loss_mask: 0.1376 [06/20 21:51:12] Vis4D INFO: Epoch 12: 5650/9726, ETA: 0:40:44, 1.67it/s, loss: 0.4186, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0236, RCNNLoss.rcnn_loss_cls: 0.0838, RCNNLoss.rcnn_loss_bbox: 0.1363, SampledMaskLoss.rcnn_loss_mask: 0.1686 [06/20 21:51:43] Vis4D INFO: Epoch 12: 5700/9726, ETA: 0:40:14, 1.67it/s, loss: 0.4286, RPNLoss.loss_cls: 0.0076, RPNLoss.loss_bbox: 0.0235, RCNNLoss.rcnn_loss_cls: 0.0833, RCNNLoss.rcnn_loss_bbox: 0.1459, SampledMaskLoss.rcnn_loss_mask: 0.1683 [06/20 21:52:14] Vis4D INFO: Epoch 12: 5750/9726, ETA: 0:39:45, 1.67it/s, loss: 0.3971, RPNLoss.loss_cls: 0.0046, RPNLoss.loss_bbox: 0.0191, RCNNLoss.rcnn_loss_cls: 0.0711, RCNNLoss.rcnn_loss_bbox: 0.1224, SampledMaskLoss.rcnn_loss_mask: 0.1799 [06/20 21:52:44] Vis4D INFO: Epoch 12: 5800/9726, ETA: 0:39:16, 1.67it/s, loss: 0.4464, RPNLoss.loss_cls: 0.0098, RPNLoss.loss_bbox: 0.0229, RCNNLoss.rcnn_loss_cls: 0.0841, RCNNLoss.rcnn_loss_bbox: 0.1402, SampledMaskLoss.rcnn_loss_mask: 0.1894 [06/20 21:53:17] Vis4D INFO: Epoch 12: 5850/9726, ETA: 0:38:47, 1.67it/s, loss: 0.3828, RPNLoss.loss_cls: 0.0055, RPNLoss.loss_bbox: 0.0192, RCNNLoss.rcnn_loss_cls: 0.0780, RCNNLoss.rcnn_loss_bbox: 0.1411, SampledMaskLoss.rcnn_loss_mask: 0.1391 [06/20 21:53:47] Vis4D INFO: Epoch 12: 5900/9726, ETA: 0:38:17, 1.67it/s, loss: 0.3934, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0204, RCNNLoss.rcnn_loss_cls: 0.0790, RCNNLoss.rcnn_loss_bbox: 0.1364, SampledMaskLoss.rcnn_loss_mask: 0.1515 [06/20 21:54:17] Vis4D INFO: Epoch 12: 5950/9726, ETA: 0:37:47, 1.67it/s, loss: 0.4052, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0220, RCNNLoss.rcnn_loss_cls: 0.0789, RCNNLoss.rcnn_loss_bbox: 0.1319, SampledMaskLoss.rcnn_loss_mask: 0.1653 [06/20 21:54:46] Vis4D INFO: Epoch 12: 6000/9726, ETA: 0:37:17, 1.67it/s, loss: 0.3962, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0188, RCNNLoss.rcnn_loss_cls: 0.0709, RCNNLoss.rcnn_loss_bbox: 0.1267, SampledMaskLoss.rcnn_loss_mask: 0.1717 [06/20 21:55:18] Vis4D INFO: Epoch 12: 6050/9726, ETA: 0:36:48, 1.66it/s, loss: 0.3820, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0697, RCNNLoss.rcnn_loss_bbox: 0.1227, SampledMaskLoss.rcnn_loss_mask: 0.1608 [06/20 21:55:47] Vis4D INFO: Epoch 12: 6100/9726, ETA: 0:36:17, 1.67it/s, loss: 0.3534, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0181, RCNNLoss.rcnn_loss_cls: 0.0688, RCNNLoss.rcnn_loss_bbox: 0.1236, SampledMaskLoss.rcnn_loss_mask: 0.1367 [06/20 21:56:19] Vis4D INFO: Epoch 12: 6150/9726, ETA: 0:35:48, 1.66it/s, loss: 0.3799, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0740, RCNNLoss.rcnn_loss_bbox: 0.1320, SampledMaskLoss.rcnn_loss_mask: 0.1460 [06/20 21:56:50] Vis4D INFO: Epoch 12: 6200/9726, ETA: 0:35:19, 1.66it/s, loss: 0.4144, RPNLoss.loss_cls: 0.0045, RPNLoss.loss_bbox: 0.0200, RCNNLoss.rcnn_loss_cls: 0.0807, RCNNLoss.rcnn_loss_bbox: 0.1373, SampledMaskLoss.rcnn_loss_mask: 0.1718 [06/20 21:57:20] Vis4D INFO: Epoch 12: 6250/9726, ETA: 0:34:49, 1.66it/s, loss: 0.3752, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0199, RCNNLoss.rcnn_loss_cls: 0.0745, RCNNLoss.rcnn_loss_bbox: 0.1375, SampledMaskLoss.rcnn_loss_mask: 0.1372 [06/20 21:57:48] Vis4D INFO: Epoch 12: 6300/9726, ETA: 0:34:17, 1.66it/s, loss: 0.3824, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0176, RCNNLoss.rcnn_loss_cls: 0.0724, RCNNLoss.rcnn_loss_bbox: 0.1269, SampledMaskLoss.rcnn_loss_mask: 0.1571 [06/20 21:58:16] Vis4D INFO: Epoch 12: 6350/9726, ETA: 0:33:46, 1.67it/s, loss: 0.3607, RPNLoss.loss_cls: 0.0043, RPNLoss.loss_bbox: 0.0171, RCNNLoss.rcnn_loss_cls: 0.0706, RCNNLoss.rcnn_loss_bbox: 0.1268, SampledMaskLoss.rcnn_loss_mask: 0.1420 [06/20 21:58:43] Vis4D INFO: Epoch 12: 6400/9726, ETA: 0:33:15, 1.67it/s, loss: 0.4024, RPNLoss.loss_cls: 0.0068, RPNLoss.loss_bbox: 0.0187, RCNNLoss.rcnn_loss_cls: 0.0709, RCNNLoss.rcnn_loss_bbox: 0.1249, SampledMaskLoss.rcnn_loss_mask: 0.1811 [06/20 21:59:11] Vis4D INFO: Epoch 12: 6450/9726, ETA: 0:32:44, 1.67it/s, loss: 0.4095, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0731, RCNNLoss.rcnn_loss_bbox: 0.1336, SampledMaskLoss.rcnn_loss_mask: 0.1751 [06/20 21:59:38] Vis4D INFO: Epoch 12: 6500/9726, ETA: 0:32:13, 1.67it/s, loss: 0.4050, RPNLoss.loss_cls: 0.0052, RPNLoss.loss_bbox: 0.0204, RCNNLoss.rcnn_loss_cls: 0.0778, RCNNLoss.rcnn_loss_bbox: 0.1355, SampledMaskLoss.rcnn_loss_mask: 0.1662 [06/20 22:00:05] Vis4D INFO: Epoch 12: 6550/9726, ETA: 0:31:41, 1.67it/s, loss: 0.4180, RPNLoss.loss_cls: 0.0053, RPNLoss.loss_bbox: 0.0186, RCNNLoss.rcnn_loss_cls: 0.0842, RCNNLoss.rcnn_loss_bbox: 0.1358, SampledMaskLoss.rcnn_loss_mask: 0.1741 [06/20 22:00:34] Vis4D INFO: Epoch 12: 6600/9726, ETA: 0:31:11, 1.67it/s, loss: 0.4103, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0226, RCNNLoss.rcnn_loss_cls: 0.0890, RCNNLoss.rcnn_loss_bbox: 0.1508, SampledMaskLoss.rcnn_loss_mask: 0.1404 [06/20 22:01:02] Vis4D INFO: Epoch 12: 6650/9726, ETA: 0:30:40, 1.67it/s, loss: 0.3803, RPNLoss.loss_cls: 0.0073, RPNLoss.loss_bbox: 0.0204, RCNNLoss.rcnn_loss_cls: 0.0814, RCNNLoss.rcnn_loss_bbox: 0.1324, SampledMaskLoss.rcnn_loss_mask: 0.1388 [06/20 22:01:30] Vis4D INFO: Epoch 12: 6700/9726, ETA: 0:30:09, 1.67it/s, loss: 0.3989, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0169, RCNNLoss.rcnn_loss_cls: 0.0770, RCNNLoss.rcnn_loss_bbox: 0.1278, SampledMaskLoss.rcnn_loss_mask: 0.1698 [06/20 22:01:57] Vis4D INFO: Epoch 12: 6750/9726, ETA: 0:29:38, 1.67it/s, loss: 0.3503, RPNLoss.loss_cls: 0.0067, RPNLoss.loss_bbox: 0.0187, RCNNLoss.rcnn_loss_cls: 0.0713, RCNNLoss.rcnn_loss_bbox: 0.1145, SampledMaskLoss.rcnn_loss_mask: 0.1391 [06/20 22:02:26] Vis4D INFO: Epoch 12: 6800/9726, ETA: 0:29:08, 1.67it/s, loss: 0.4098, RPNLoss.loss_cls: 0.0046, RPNLoss.loss_bbox: 0.0193, RCNNLoss.rcnn_loss_cls: 0.0733, RCNNLoss.rcnn_loss_bbox: 0.1277, SampledMaskLoss.rcnn_loss_mask: 0.1849 [06/20 22:02:53] Vis4D INFO: Epoch 12: 6850/9726, ETA: 0:28:37, 1.67it/s, loss: 0.4470, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0853, RCNNLoss.rcnn_loss_bbox: 0.1475, SampledMaskLoss.rcnn_loss_mask: 0.1861 [06/20 22:03:22] Vis4D INFO: Epoch 12: 6900/9726, ETA: 0:28:06, 1.68it/s, loss: 0.3988, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0232, RCNNLoss.rcnn_loss_cls: 0.0802, RCNNLoss.rcnn_loss_bbox: 0.1348, SampledMaskLoss.rcnn_loss_mask: 0.1544 [06/20 22:03:52] Vis4D INFO: Epoch 12: 6950/9726, ETA: 0:27:36, 1.68it/s, loss: 0.4122, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0821, RCNNLoss.rcnn_loss_bbox: 0.1366, SampledMaskLoss.rcnn_loss_mask: 0.1652 [06/20 22:04:23] Vis4D INFO: Epoch 12: 7000/9726, ETA: 0:27:07, 1.67it/s, loss: 0.4138, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.0799, RCNNLoss.rcnn_loss_bbox: 0.1251, SampledMaskLoss.rcnn_loss_mask: 0.1777 [06/20 22:04:53] Vis4D INFO: Epoch 12: 7050/9726, ETA: 0:26:37, 1.67it/s, loss: 0.3815, RPNLoss.loss_cls: 0.0059, RPNLoss.loss_bbox: 0.0196, RCNNLoss.rcnn_loss_cls: 0.0712, RCNNLoss.rcnn_loss_bbox: 0.1227, SampledMaskLoss.rcnn_loss_mask: 0.1622 [06/20 22:05:24] Vis4D INFO: Epoch 12: 7100/9726, ETA: 0:26:08, 1.67it/s, loss: 0.3922, RPNLoss.loss_cls: 0.0047, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0819, RCNNLoss.rcnn_loss_bbox: 0.1350, SampledMaskLoss.rcnn_loss_mask: 0.1497 [06/20 22:05:55] Vis4D INFO: Epoch 12: 7150/9726, ETA: 0:25:38, 1.67it/s, loss: 0.4012, RPNLoss.loss_cls: 0.0063, RPNLoss.loss_bbox: 0.0212, RCNNLoss.rcnn_loss_cls: 0.0770, RCNNLoss.rcnn_loss_bbox: 0.1329, SampledMaskLoss.rcnn_loss_mask: 0.1638 [06/20 22:06:27] Vis4D INFO: Epoch 12: 7200/9726, ETA: 0:25:09, 1.67it/s, loss: 0.3616, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0682, RCNNLoss.rcnn_loss_bbox: 0.1154, SampledMaskLoss.rcnn_loss_mask: 0.1470 [06/20 22:06:58] Vis4D INFO: Epoch 12: 7250/9726, ETA: 0:24:40, 1.67it/s, loss: 0.3837, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0743, RCNNLoss.rcnn_loss_bbox: 0.1294, SampledMaskLoss.rcnn_loss_mask: 0.1507 [06/20 22:07:30] Vis4D INFO: Epoch 12: 7300/9726, ETA: 0:24:10, 1.67it/s, loss: 0.4307, RPNLoss.loss_cls: 0.0055, RPNLoss.loss_bbox: 0.0222, RCNNLoss.rcnn_loss_cls: 0.0828, RCNNLoss.rcnn_loss_bbox: 0.1459, SampledMaskLoss.rcnn_loss_mask: 0.1743 [06/20 22:08:01] Vis4D INFO: Epoch 12: 7350/9726, ETA: 0:23:41, 1.67it/s, loss: 0.4220, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0200, RCNNLoss.rcnn_loss_cls: 0.0751, RCNNLoss.rcnn_loss_bbox: 0.1366, SampledMaskLoss.rcnn_loss_mask: 0.1841 [06/20 22:08:31] Vis4D INFO: Epoch 12: 7400/9726, ETA: 0:23:11, 1.67it/s, loss: 0.4296, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0232, RCNNLoss.rcnn_loss_cls: 0.0856, RCNNLoss.rcnn_loss_bbox: 0.1336, SampledMaskLoss.rcnn_loss_mask: 0.1801 [06/20 22:09:05] Vis4D INFO: Epoch 12: 7450/9726, ETA: 0:22:42, 1.67it/s, loss: 0.4018, RPNLoss.loss_cls: 0.0095, RPNLoss.loss_bbox: 0.0188, RCNNLoss.rcnn_loss_cls: 0.0769, RCNNLoss.rcnn_loss_bbox: 0.1198, SampledMaskLoss.rcnn_loss_mask: 0.1768 [06/20 22:09:38] Vis4D INFO: Epoch 12: 7500/9726, ETA: 0:22:13, 1.67it/s, loss: 0.4412, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0228, RCNNLoss.rcnn_loss_cls: 0.0813, RCNNLoss.rcnn_loss_bbox: 0.1401, SampledMaskLoss.rcnn_loss_mask: 0.1895 [06/20 22:10:08] Vis4D INFO: Epoch 12: 7550/9726, ETA: 0:21:44, 1.67it/s, loss: 0.3973, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0198, RCNNLoss.rcnn_loss_cls: 0.0805, RCNNLoss.rcnn_loss_bbox: 0.1389, SampledMaskLoss.rcnn_loss_mask: 0.1520 [06/20 22:10:38] Vis4D INFO: Epoch 12: 7600/9726, ETA: 0:21:14, 1.67it/s, loss: 0.3906, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0207, RCNNLoss.rcnn_loss_cls: 0.0822, RCNNLoss.rcnn_loss_bbox: 0.1427, SampledMaskLoss.rcnn_loss_mask: 0.1391 [06/20 22:11:06] Vis4D INFO: Epoch 12: 7650/9726, ETA: 0:20:43, 1.67it/s, loss: 0.4470, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0865, RCNNLoss.rcnn_loss_bbox: 0.1452, SampledMaskLoss.rcnn_loss_mask: 0.1821 [06/20 22:11:35] Vis4D INFO: Epoch 12: 7700/9726, ETA: 0:20:13, 1.67it/s, loss: 0.3573, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0195, RCNNLoss.rcnn_loss_cls: 0.0766, RCNNLoss.rcnn_loss_bbox: 0.1285, SampledMaskLoss.rcnn_loss_mask: 0.1250 [06/20 22:12:02] Vis4D INFO: Epoch 12: 7750/9726, ETA: 0:19:42, 1.67it/s, loss: 0.4201, RPNLoss.loss_cls: 0.0088, RPNLoss.loss_bbox: 0.0230, RCNNLoss.rcnn_loss_cls: 0.0917, RCNNLoss.rcnn_loss_bbox: 0.1491, SampledMaskLoss.rcnn_loss_mask: 0.1477 [06/20 22:12:28] Vis4D INFO: Epoch 12: 7800/9726, ETA: 0:19:11, 1.67it/s, loss: 0.4142, RPNLoss.loss_cls: 0.0069, RPNLoss.loss_bbox: 0.0212, RCNNLoss.rcnn_loss_cls: 0.0741, RCNNLoss.rcnn_loss_bbox: 0.1301, SampledMaskLoss.rcnn_loss_mask: 0.1819 [06/20 22:12:56] Vis4D INFO: Epoch 12: 7850/9726, ETA: 0:18:41, 1.67it/s, loss: 0.4430, RPNLoss.loss_cls: 0.0061, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0875, RCNNLoss.rcnn_loss_bbox: 0.1470, SampledMaskLoss.rcnn_loss_mask: 0.1797 [06/20 22:13:22] Vis4D INFO: Epoch 12: 7900/9726, ETA: 0:18:10, 1.67it/s, loss: 0.3624, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0168, RCNNLoss.rcnn_loss_cls: 0.0681, RCNNLoss.rcnn_loss_bbox: 0.1224, SampledMaskLoss.rcnn_loss_mask: 0.1470 [06/20 22:13:52] Vis4D INFO: Epoch 12: 7950/9726, ETA: 0:17:40, 1.67it/s, loss: 0.3902, RPNLoss.loss_cls: 0.0094, RPNLoss.loss_bbox: 0.0201, RCNNLoss.rcnn_loss_cls: 0.0806, RCNNLoss.rcnn_loss_bbox: 0.1354, SampledMaskLoss.rcnn_loss_mask: 0.1446 [06/20 22:14:19] Vis4D INFO: Epoch 12: 8000/9726, ETA: 0:17:10, 1.68it/s, loss: 0.4352, RPNLoss.loss_cls: 0.0075, RPNLoss.loss_bbox: 0.0224, RCNNLoss.rcnn_loss_cls: 0.0824, RCNNLoss.rcnn_loss_bbox: 0.1420, SampledMaskLoss.rcnn_loss_mask: 0.1809 [06/20 22:14:45] Vis4D INFO: Epoch 12: 8050/9726, ETA: 0:16:39, 1.68it/s, loss: 0.4037, RPNLoss.loss_cls: 0.0073, RPNLoss.loss_bbox: 0.0249, RCNNLoss.rcnn_loss_cls: 0.0811, RCNNLoss.rcnn_loss_bbox: 0.1393, SampledMaskLoss.rcnn_loss_mask: 0.1511 [06/20 22:15:14] Vis4D INFO: Epoch 12: 8100/9726, ETA: 0:16:09, 1.68it/s, loss: 0.4489, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.0914, RCNNLoss.rcnn_loss_bbox: 0.1522, SampledMaskLoss.rcnn_loss_mask: 0.1711 [06/20 22:15:44] Vis4D INFO: Epoch 12: 8150/9726, ETA: 0:15:39, 1.68it/s, loss: 0.4332, RPNLoss.loss_cls: 0.0073, RPNLoss.loss_bbox: 0.0231, RCNNLoss.rcnn_loss_cls: 0.0851, RCNNLoss.rcnn_loss_bbox: 0.1423, SampledMaskLoss.rcnn_loss_mask: 0.1754 [06/20 22:16:14] Vis4D INFO: Epoch 12: 8200/9726, ETA: 0:15:10, 1.68it/s, loss: 0.3954, RPNLoss.loss_cls: 0.0081, RPNLoss.loss_bbox: 0.0215, RCNNLoss.rcnn_loss_cls: 0.0732, RCNNLoss.rcnn_loss_bbox: 0.1328, SampledMaskLoss.rcnn_loss_mask: 0.1598 [06/20 22:16:44] Vis4D INFO: Epoch 12: 8250/9726, ETA: 0:14:40, 1.68it/s, loss: 0.4037, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0235, RCNNLoss.rcnn_loss_cls: 0.0797, RCNNLoss.rcnn_loss_bbox: 0.1376, SampledMaskLoss.rcnn_loss_mask: 0.1556 [06/20 22:17:13] Vis4D INFO: Epoch 12: 8300/9726, ETA: 0:14:10, 1.68it/s, loss: 0.4429, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0204, RCNNLoss.rcnn_loss_cls: 0.0841, RCNNLoss.rcnn_loss_bbox: 0.1375, SampledMaskLoss.rcnn_loss_mask: 0.1939 [06/20 22:17:43] Vis4D INFO: Epoch 12: 8350/9726, ETA: 0:13:40, 1.68it/s, loss: 0.4133, RPNLoss.loss_cls: 0.0065, RPNLoss.loss_bbox: 0.0194, RCNNLoss.rcnn_loss_cls: 0.0767, RCNNLoss.rcnn_loss_bbox: 0.1322, SampledMaskLoss.rcnn_loss_mask: 0.1785 [06/20 22:18:14] Vis4D INFO: Epoch 12: 8400/9726, ETA: 0:13:10, 1.68it/s, loss: 0.4597, RPNLoss.loss_cls: 0.0064, RPNLoss.loss_bbox: 0.0237, RCNNLoss.rcnn_loss_cls: 0.0907, RCNNLoss.rcnn_loss_bbox: 0.1538, SampledMaskLoss.rcnn_loss_mask: 0.1850 [06/20 22:18:43] Vis4D INFO: Epoch 12: 8450/9726, ETA: 0:12:40, 1.68it/s, loss: 0.3942, RPNLoss.loss_cls: 0.0057, RPNLoss.loss_bbox: 0.0218, RCNNLoss.rcnn_loss_cls: 0.0785, RCNNLoss.rcnn_loss_bbox: 0.1329, SampledMaskLoss.rcnn_loss_mask: 0.1553 [06/20 22:19:13] Vis4D INFO: Epoch 12: 8500/9726, ETA: 0:12:11, 1.68it/s, loss: 0.3849, RPNLoss.loss_cls: 0.0062, RPNLoss.loss_bbox: 0.0208, RCNNLoss.rcnn_loss_cls: 0.0740, RCNNLoss.rcnn_loss_bbox: 0.1319, SampledMaskLoss.rcnn_loss_mask: 0.1522 [06/20 22:19:42] Vis4D INFO: Epoch 12: 8550/9726, ETA: 0:11:41, 1.68it/s, loss: 0.4368, RPNLoss.loss_cls: 0.0084, RPNLoss.loss_bbox: 0.0262, RCNNLoss.rcnn_loss_cls: 0.0913, RCNNLoss.rcnn_loss_bbox: 0.1482, SampledMaskLoss.rcnn_loss_mask: 0.1626 [06/20 22:20:10] Vis4D INFO: Epoch 12: 8600/9726, ETA: 0:11:11, 1.68it/s, loss: 0.3823, RPNLoss.loss_cls: 0.0086, RPNLoss.loss_bbox: 0.0214, RCNNLoss.rcnn_loss_cls: 0.0763, RCNNLoss.rcnn_loss_bbox: 0.1271, SampledMaskLoss.rcnn_loss_mask: 0.1489 [06/20 22:20:40] Vis4D INFO: Epoch 12: 8650/9726, ETA: 0:10:41, 1.68it/s, loss: 0.4372, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0826, RCNNLoss.rcnn_loss_bbox: 0.1411, SampledMaskLoss.rcnn_loss_mask: 0.1823 [06/20 22:21:10] Vis4D INFO: Epoch 12: 8700/9726, ETA: 0:10:11, 1.68it/s, loss: 0.3936, RPNLoss.loss_cls: 0.0083, RPNLoss.loss_bbox: 0.0199, RCNNLoss.rcnn_loss_cls: 0.0701, RCNNLoss.rcnn_loss_bbox: 0.1321, SampledMaskLoss.rcnn_loss_mask: 0.1631 [06/20 22:21:43] Vis4D INFO: Epoch 12: 8750/9726, ETA: 0:09:42, 1.68it/s, loss: 0.3971, RPNLoss.loss_cls: 0.0070, RPNLoss.loss_bbox: 0.0206, RCNNLoss.rcnn_loss_cls: 0.0778, RCNNLoss.rcnn_loss_bbox: 0.1347, SampledMaskLoss.rcnn_loss_mask: 0.1570 [06/20 22:22:14] Vis4D INFO: Epoch 12: 8800/9726, ETA: 0:09:12, 1.68it/s, loss: 0.4231, RPNLoss.loss_cls: 0.0063, RPNLoss.loss_bbox: 0.0203, RCNNLoss.rcnn_loss_cls: 0.0842, RCNNLoss.rcnn_loss_bbox: 0.1445, SampledMaskLoss.rcnn_loss_mask: 0.1677 [06/20 22:22:45] Vis4D INFO: Epoch 12: 8850/9726, ETA: 0:08:42, 1.68it/s, loss: 0.4227, RPNLoss.loss_cls: 0.0074, RPNLoss.loss_bbox: 0.0233, RCNNLoss.rcnn_loss_cls: 0.0826, RCNNLoss.rcnn_loss_bbox: 0.1443, SampledMaskLoss.rcnn_loss_mask: 0.1652 [06/20 22:23:14] Vis4D INFO: Epoch 12: 8900/9726, ETA: 0:08:12, 1.68it/s, loss: 0.4162, RPNLoss.loss_cls: 0.0059, RPNLoss.loss_bbox: 0.0213, RCNNLoss.rcnn_loss_cls: 0.0774, RCNNLoss.rcnn_loss_bbox: 0.1367, SampledMaskLoss.rcnn_loss_mask: 0.1749 [06/20 22:23:43] Vis4D INFO: Epoch 12: 8950/9726, ETA: 0:07:42, 1.68it/s, loss: 0.4146, RPNLoss.loss_cls: 0.0068, RPNLoss.loss_bbox: 0.0195, RCNNLoss.rcnn_loss_cls: 0.0791, RCNNLoss.rcnn_loss_bbox: 0.1370, SampledMaskLoss.rcnn_loss_mask: 0.1723 [06/20 22:24:15] Vis4D INFO: Epoch 12: 9000/9726, ETA: 0:07:13, 1.68it/s, loss: 0.4480, RPNLoss.loss_cls: 0.0093, RPNLoss.loss_bbox: 0.0256, RCNNLoss.rcnn_loss_cls: 0.0958, RCNNLoss.rcnn_loss_bbox: 0.1608, SampledMaskLoss.rcnn_loss_mask: 0.1564 [06/20 22:24:46] Vis4D INFO: Epoch 12: 9050/9726, ETA: 0:06:43, 1.68it/s, loss: 0.4460, RPNLoss.loss_cls: 0.0085, RPNLoss.loss_bbox: 0.0251, RCNNLoss.rcnn_loss_cls: 0.0899, RCNNLoss.rcnn_loss_bbox: 0.1473, SampledMaskLoss.rcnn_loss_mask: 0.1752 [06/20 22:25:15] Vis4D INFO: Epoch 12: 9100/9726, ETA: 0:06:13, 1.68it/s, loss: 0.4098, RPNLoss.loss_cls: 0.0073, RPNLoss.loss_bbox: 0.0234, RCNNLoss.rcnn_loss_cls: 0.0775, RCNNLoss.rcnn_loss_bbox: 0.1354, SampledMaskLoss.rcnn_loss_mask: 0.1662 [06/20 22:25:45] Vis4D INFO: Epoch 12: 9150/9726, ETA: 0:05:43, 1.68it/s, loss: 0.3985, RPNLoss.loss_cls: 0.0071, RPNLoss.loss_bbox: 0.0206, RCNNLoss.rcnn_loss_cls: 0.0716, RCNNLoss.rcnn_loss_bbox: 0.1271, SampledMaskLoss.rcnn_loss_mask: 0.1719 [06/20 22:26:16] Vis4D INFO: Epoch 12: 9200/9726, ETA: 0:05:14, 1.68it/s, loss: 0.4133, RPNLoss.loss_cls: 0.0080, RPNLoss.loss_bbox: 0.0240, RCNNLoss.rcnn_loss_cls: 0.0820, RCNNLoss.rcnn_loss_bbox: 0.1480, SampledMaskLoss.rcnn_loss_mask: 0.1513 [06/20 22:26:46] Vis4D INFO: Epoch 12: 9250/9726, ETA: 0:04:44, 1.68it/s, loss: 0.4154, RPNLoss.loss_cls: 0.0051, RPNLoss.loss_bbox: 0.0205, RCNNLoss.rcnn_loss_cls: 0.0766, RCNNLoss.rcnn_loss_bbox: 0.1366, SampledMaskLoss.rcnn_loss_mask: 0.1767 [06/20 22:27:18] Vis4D INFO: Epoch 12: 9300/9726, ETA: 0:04:14, 1.67it/s, loss: 0.4268, RPNLoss.loss_cls: 0.0112, RPNLoss.loss_bbox: 0.0270, RCNNLoss.rcnn_loss_cls: 0.0824, RCNNLoss.rcnn_loss_bbox: 0.1464, SampledMaskLoss.rcnn_loss_mask: 0.1598 [06/20 22:27:47] Vis4D INFO: Epoch 12: 9350/9726, ETA: 0:03:44, 1.67it/s, loss: 0.3849, RPNLoss.loss_cls: 0.0059, RPNLoss.loss_bbox: 0.0190, RCNNLoss.rcnn_loss_cls: 0.0777, RCNNLoss.rcnn_loss_bbox: 0.1252, SampledMaskLoss.rcnn_loss_mask: 0.1571 [06/20 22:28:19] Vis4D INFO: Epoch 12: 9400/9726, ETA: 0:03:14, 1.67it/s, loss: 0.4273, RPNLoss.loss_cls: 0.0066, RPNLoss.loss_bbox: 0.0216, RCNNLoss.rcnn_loss_cls: 0.0748, RCNNLoss.rcnn_loss_bbox: 0.1311, SampledMaskLoss.rcnn_loss_mask: 0.1932 [06/20 22:28:48] Vis4D INFO: Epoch 12: 9450/9726, ETA: 0:02:44, 1.67it/s, loss: 0.4062, RPNLoss.loss_cls: 0.0065, RPNLoss.loss_bbox: 0.0194, RCNNLoss.rcnn_loss_cls: 0.0816, RCNNLoss.rcnn_loss_bbox: 0.1398, SampledMaskLoss.rcnn_loss_mask: 0.1589 [06/20 22:29:19] Vis4D INFO: Epoch 12: 9500/9726, ETA: 0:02:15, 1.67it/s, loss: 0.4124, RPNLoss.loss_cls: 0.0082, RPNLoss.loss_bbox: 0.0211, RCNNLoss.rcnn_loss_cls: 0.0769, RCNNLoss.rcnn_loss_bbox: 0.1297, SampledMaskLoss.rcnn_loss_mask: 0.1765 [06/20 22:29:47] Vis4D INFO: Epoch 12: 9550/9726, ETA: 0:01:45, 1.67it/s, loss: 0.4164, RPNLoss.loss_cls: 0.0060, RPNLoss.loss_bbox: 0.0227, RCNNLoss.rcnn_loss_cls: 0.0815, RCNNLoss.rcnn_loss_bbox: 0.1431, SampledMaskLoss.rcnn_loss_mask: 0.1631 [06/20 22:30:18] Vis4D INFO: Epoch 12: 9600/9726, ETA: 0:01:15, 1.67it/s, loss: 0.3908, RPNLoss.loss_cls: 0.0063, RPNLoss.loss_bbox: 0.0202, RCNNLoss.rcnn_loss_cls: 0.0739, RCNNLoss.rcnn_loss_bbox: 0.1272, SampledMaskLoss.rcnn_loss_mask: 0.1632 [06/20 22:30:50] Vis4D INFO: Epoch 12: 9650/9726, ETA: 0:00:45, 1.67it/s, loss: 0.4563, RPNLoss.loss_cls: 0.0077, RPNLoss.loss_bbox: 0.0268, RCNNLoss.rcnn_loss_cls: 0.0902, RCNNLoss.rcnn_loss_bbox: 0.1585, SampledMaskLoss.rcnn_loss_mask: 0.1731 [06/20 22:31:22] Vis4D INFO: Epoch 12: 9700/9726, ETA: 0:00:15, 1.67it/s, loss: 0.4103, RPNLoss.loss_cls: 0.0053, RPNLoss.loss_bbox: 0.0213, RCNNLoss.rcnn_loss_cls: 0.0852, RCNNLoss.rcnn_loss_bbox: 0.1484, SampledMaskLoss.rcnn_loss_mask: 0.1500 [06/20 22:31:56] Vis4D INFO: Testing: 50/1400, ETA: 0:08:40, 2.59it/s [06/20 22:32:13] Vis4D INFO: Testing: 100/1400, ETA: 0:07:47, 2.78it/s [06/20 22:32:25] Vis4D INFO: Testing: 150/1400, ETA: 0:06:39, 3.13it/s [06/20 22:32:38] Vis4D INFO: Testing: 200/1400, ETA: 0:06:07, 3.27it/s [06/20 22:32:53] Vis4D INFO: Testing: 250/1400, ETA: 0:05:50, 3.28it/s [06/20 22:33:04] Vis4D INFO: Testing: 300/1400, ETA: 0:05:19, 3.45it/s [06/20 22:33:14] Vis4D INFO: Testing: 350/1400, ETA: 0:04:50, 3.61it/s [06/20 22:33:30] Vis4D INFO: Testing: 400/1400, ETA: 0:04:43, 3.53it/s [06/20 22:33:48] Vis4D INFO: Testing: 450/1400, ETA: 0:04:35, 3.45it/s [06/20 22:34:00] Vis4D INFO: Testing: 500/1400, ETA: 0:04:16, 3.51it/s [06/20 22:34:15] Vis4D INFO: Testing: 550/1400, ETA: 0:04:04, 3.48it/s [06/20 22:34:37] Vis4D INFO: Testing: 600/1400, ETA: 0:03:59, 3.34it/s [06/20 22:34:54] Vis4D INFO: Testing: 650/1400, ETA: 0:03:46, 3.31it/s [06/20 22:35:05] Vis4D INFO: Testing: 700/1400, ETA: 0:03:27, 3.37it/s [06/20 22:35:19] Vis4D INFO: Testing: 750/1400, ETA: 0:03:12, 3.39it/s [06/20 22:35:29] Vis4D INFO: Testing: 800/1400, ETA: 0:02:53, 3.46it/s [06/20 22:35:42] Vis4D INFO: Testing: 850/1400, ETA: 0:02:38, 3.47it/s [06/20 22:35:54] Vis4D INFO: Testing: 900/1400, ETA: 0:02:22, 3.51it/s [06/20 22:36:10] Vis4D INFO: Testing: 950/1400, ETA: 0:02:09, 3.48it/s [06/20 22:36:21] Vis4D INFO: Testing: 1000/1400, ETA: 0:01:53, 3.53it/s [06/20 22:36:34] Vis4D INFO: Testing: 1050/1400, ETA: 0:01:39, 3.53it/s [06/20 22:36:47] Vis4D INFO: Testing: 1100/1400, ETA: 0:01:24, 3.55it/s [06/20 22:37:05] Vis4D INFO: Testing: 1150/1400, ETA: 0:01:11, 3.51it/s [06/20 22:37:21] Vis4D INFO: Testing: 1200/1400, ETA: 0:00:57, 3.49it/s [06/20 22:37:34] Vis4D INFO: Testing: 1250/1400, ETA: 0:00:42, 3.50it/s [06/20 22:37:45] Vis4D INFO: Testing: 1300/1400, ETA: 0:00:28, 3.54it/s [06/20 22:38:01] Vis4D INFO: Testing: 1350/1400, ETA: 0:00:14, 3.52it/s [06/20 22:38:16] Vis4D INFO: Testing: 1400/1400, ETA: 0:00:00, 3.51it/s [06/20 22:38:16] Vis4D INFO: Running evaluator Scalabel Tracking Evaluator... [06/20 22:38:32] Vis4D INFO: Det/AP: 43.9237 [06/20 22:38:32] Vis4D INFO: Det/AP50: 62.5399 [06/20 22:38:32] Vis4D INFO: Det/AP75: 49.0769 [06/20 22:38:32] Vis4D INFO: Det/APs: 26.1665 [06/20 22:38:32] Vis4D INFO: Det/APm: 71.6500 [06/20 22:38:32] Vis4D INFO: Det/APl: 88.0937 [06/20 22:38:32] Vis4D INFO: Det/AR1: 32.1797 [06/20 22:38:32] Vis4D INFO: Det/AR10: 47.5647 [06/20 22:38:32] Vis4D INFO: Det/AR100: 48.3597 [06/20 22:38:32] Vis4D INFO: Det/ARs: 31.6360 [06/20 22:38:32] Vis4D INFO: Det/ARm: 76.1856 [06/20 22:38:32] Vis4D INFO: Det/ARl: 90.6275 [06/20 22:38:32] Vis4D INFO: Det/AP/pedestrian: 41.5713 [06/20 22:38:32] Vis4D INFO: Det/AP/car: 50.5631 [06/20 22:38:32] Vis4D INFO: Det/AP/truck: 46.1622 [06/20 22:38:32] Vis4D INFO: Det/AP/bus: 41.7989 [06/20 22:38:32] Vis4D INFO: Det/AP/motorcycle: 44.9776 [06/20 22:38:32] Vis4D INFO: Det/AP/bicycle: 38.4693 [06/20 22:38:32] Vis4D INFO: Showing evaluation results for Det [06/20 22:38:32] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl --------------------------------------------------------------------------- pedestrian 41.6 66.2 45.0 31.7 76.8 87.9 12.1 41.4 45.4 36.4 80.6 90.9 car 50.6 68.2 55.5 30.1 73.1 92.7 21.0 53.8 54.5 35.0 77.7 94.7 truck 46.2 65.5 50.4 23.1 68.5 85.8 35.1 50.6 50.6 29.8 73.2 88.7 bus 41.8 60.6 46.3 29.7 77.3 93.2 43.2 48.0 48.0 37.5 80.5 94.9 motorcycle 45.0 60.3 53.7 24.6 75.2 82.3 42.4 48.6 48.6 28.3 79.2 84.5 bicycle 38.5 54.4 43.6 17.9 58.9 86.7 39.2 43.0 43.0 22.8 65.9 90.2 --------------------------------------------------------------------------- OVERALL 43.9 62.5 49.1 26.2 71.6 88.1 32.2 47.6 48.4 31.6 76.2 90.6 [06/20 22:38:57] Vis4D INFO: InsSeg/AP: 1.3382 [06/20 22:38:57] Vis4D INFO: InsSeg/AP50: 1.9407 [06/20 22:38:57] Vis4D INFO: InsSeg/AP75: 1.5479 [06/20 22:38:57] Vis4D INFO: InsSeg/APs: 0.7030 [06/20 22:38:57] Vis4D INFO: InsSeg/APm: 2.9500 [06/20 22:38:57] Vis4D INFO: InsSeg/APl: 4.4878 [06/20 22:38:57] Vis4D INFO: InsSeg/AR1: 1.0408 [06/20 22:38:57] Vis4D INFO: InsSeg/AR10: 1.2681 [06/20 22:38:57] Vis4D INFO: InsSeg/AR100: 1.2690 [06/20 22:38:57] Vis4D INFO: InsSeg/ARs: 0.7775 [06/20 22:38:57] Vis4D INFO: InsSeg/ARm: 2.7670 [06/20 22:38:57] Vis4D INFO: InsSeg/ARl: 4.1709 [06/20 22:38:57] Vis4D INFO: InsSeg/AP/pedestrian: 1.0897 [06/20 22:38:57] Vis4D INFO: InsSeg/AP/car: 1.8232 [06/20 22:38:57] Vis4D INFO: InsSeg/AP/truck: 1.2064 [06/20 22:38:57] Vis4D INFO: InsSeg/AP/bus: 1.2403 [06/20 22:38:57] Vis4D INFO: InsSeg/AP/motorcycle: 1.3366 [06/20 22:38:57] Vis4D INFO: InsSeg/AP/bicycle: 1.3326 [06/20 22:38:57] Vis4D INFO: Showing evaluation results for InsSeg [06/20 22:38:57] Vis4D INFO: AP AP50 AP75 APs APm APl AR1 AR10 AR100 ARs ARm ARl -------------------------------------------------------------------------- pedestrian 1.1 2.3 1.0 0.9 2.6 7.0 0.5 1.0 1.0 0.8 2.5 6.6 car 1.8 2.4 2.2 1.5 3.1 2.3 1.3 1.9 1.9 1.7 2.7 1.8 truck 1.2 1.6 1.4 0.3 1.2 4.8 1.1 1.1 1.1 0.6 1.1 4.4 bus 1.2 1.6 1.1 0.1 6.9 2.7 1.3 1.3 1.3 0.2 6.8 2.6 motorcycle 1.3 1.9 1.9 1.1 1.5 1.6 1.0 1.1 1.1 1.0 1.3 1.0 bicycle 1.3 1.8 1.7 0.3 2.4 8.5 1.1 1.1 1.1 0.3 2.1 8.5 -------------------------------------------------------------------------- OVERALL 1.3 1.9 1.5 0.7 2.9 4.5 1.0 1.3 1.3 0.8 2.8 4.2 [06/20 22:38:58] Vis4D INFO: `Trainer.fit` stopped: `max_epochs=12` reached.