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Merge remote-tracking branch 'origin/main' into stpls3d
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docs/config_explanation.md
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```
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model:
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channels: 32 # number of base channel for the backbone network
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num_blocks: 7 # number of backbone blocks
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semantic_classes: 20 # number of semantic classes
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instance_classes: 18 # number of instance classes (semantic class can be less than instance classes)
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sem2ins_classes: [] # class index to get instance directly from semantic. This trick is applied on S3DIS floor and ceil since 1 scene ussualy contain only 1 floor and 1 ceil.
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semantic_only: False # If true, only the point-wise networks (semantic and offset) are trained. The top-down refinement stage is not taken into consideration. Set it to True ussualy using for pretraining the backbone.
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ignore_label: -100 # Ignore label while training
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grouping_cfg:
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score_thr: 0.2 # soft score threshold using in softgroup.
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radius: 0.04 # the search radius of K-nearest neighbor using for grouping.
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mean_active: 300 # using to constrain the total size after K-NN
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class_numpoint_mean: [-1., -1., 3917., 12056., 2303.,
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8331., 3948., 3166., 5629., 11719.,
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1003., 3317., 4912., 10221., 3889.,
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4136., 2120., 945., 3967., 2589.] # the mean number of point per instance for each class.
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npoint_thr: 0.05 # absolute if class_numpoint == -1, relative if class_numpoint != -1 # when grouping, if num_point[i] > npoint_thr * class_numpoint_mean[i], the cluster is consider as an instance, otherwise discarded.
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ignore_classes: [0, 1] # classes will be ignored while perform grouping.
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instance_voxel_cfg:
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scale: 50 # scaling factor, voxel size = 1 / scale. In this case voxel_size = 1/50 = 0.02m
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spatial_shape: 20 # the dimension of instance in terms of voxels, i.e., H, W, D of instance will be 20 voxels.
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train_cfg:
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max_proposal_num: 200 # if number of proposals > max_proposal_num while training, the number of propsoals will be truncated to reduce memory usage.
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pos_iou_thr: 0.5 # intersection over union threshold to identify positive and negative samples.
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test_cfg:
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x4_split: False # whether divide the scene into 4 part then merge the results. This is used for S3DIS dataset since the scene is very big.
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cls_score_thr: 0.001 # score threshold for postprocessing
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mask_score_thr: -0.5 # threshold to classify background and foreground in segmentation
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min_npoint: 100 # min number of points for each instance
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fixed_modules: ['input_conv', 'unet', 'output_layer', 'semantic_linear', 'offset_linear'] # These module will not have gradient updates while training.
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data:
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train:
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type: 'scannetv2' # dataset type
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data_root: 'dataset/scannetv2' # root path to your data
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prefix: 'train' # data prefix
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suffix: '_inst_nostuff.pth' # data suffix
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training: True # training mode
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repeat: 4 # repeat factor for the data. In case the dataset is small, using repeat to avoid data loading every epoch -> reduce loading time.
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voxel_cfg:
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scale: 50 # scaling factor, voxel size = 1 / scale. In this case voxel_size = 1/50 = 0.02m
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spatial_shape: [128, 512] # min and max spatial shape of the whole scene after random crop
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max_npoint: 250000 # max number of points after random crop
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min_npoint: 5000 # min number of points after random crop
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test:
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type: 'scannetv2' # test data type
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data_root: 'dataset/scannetv2' # test data root
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prefix: 'val' # data prefix
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suffix: '_inst_nostuff.pth' # data suffix
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training: False # test mode
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voxel_cfg:
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scale: 50 # scaling factor, voxel size = 1 / scale. In this case voxel_size = 1/50 = 0.02m
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spatial_shape: [128, 512] # no effect during testing
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max_npoint: 250000 # no effect during testing
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min_npoint: 5000 # no effect during testing
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dataloader:
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train:
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batch_size: 4 # train batch size
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num_workers: 4 # train number of processes to load data
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test:
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batch_size: 1 # test batch size
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num_workers: 1 # test number of processes to load data
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optimizer:
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type: 'Adam' # optimizer type
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lr: 0.004 # learning rate
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save_cfg:
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semantic: True # weather saving semantic while evaluation
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offset: True # weather saving offset while evaluation
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instance: True # weather saving instance while evaluation
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fp16: False # Mix precision training
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epochs: 128 # Number of total epochs
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step_epoch: 50 # Epoch to step learning rate
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save_freq: 4 # frequency to save model and perform validation
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pretrain: './hais_ckpt_spconv2.pth' # pretrain model path
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work_dir: '' # directory to save model and log
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```
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674
docs/train_logs/softgroup_s3dis_fold5_20220602_075350.log
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674
docs/train_logs/softgroup_s3dis_fold5_20220602_075350.log
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2022-06-02 07:53:50,374 - INFO - Config:
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model:
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channels: 32
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num_blocks: 7
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semantic_classes: 13
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instance_classes: 13
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sem2ins_classes: [0, 1]
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semantic_only: False
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ignore_label: -100
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grouping_cfg:
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score_thr: 0.2
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radius: 0.04
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mean_active: 300
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class_numpoint_mean: [1823, 7457, 6189, 7424, 34229, 1724, 5439,
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6016, 39796, 5279, 5092, 12210, 10225]
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npoint_thr: 0.05 # absolute if class_numpoint == -1, relative if class_numpoint != -1
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ignore_classes: [0, 1]
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instance_voxel_cfg:
|
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scale: 50
|
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spatial_shape: 20
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train_cfg:
|
||||
max_proposal_num: 200
|
||||
pos_iou_thr: 0.5
|
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test_cfg:
|
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x4_split: True
|
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cls_score_thr: 0.001
|
||||
mask_score_thr: -0.5
|
||||
min_npoint: 100
|
||||
fixed_modules: ['input_conv', 'unet', 'output_layer', 'semantic_linear', 'offset_linear']
|
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data:
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train:
|
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type: 's3dis'
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data_root: 'dataset/s3dis/preprocess'
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prefix: ['Area_1', 'Area_2', 'Area_3', 'Area_4', 'Area_6']
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suffix: '_inst_nostuff.pth'
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repeat: 20
|
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training: True
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voxel_cfg:
|
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scale: 50
|
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spatial_shape: [128, 512]
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max_npoint: 250000
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min_npoint: 5000
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test:
|
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type: 's3dis'
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data_root: 'dataset/s3dis/preprocess'
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prefix: 'Area_5'
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suffix: '_inst_nostuff.pth'
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training: False
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||||
voxel_cfg:
|
||||
scale: 50
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spatial_shape: [128, 512]
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||||
max_npoint: 250000
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||||
min_npoint: 5000
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||||
dataloader:
|
||||
train:
|
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batch_size: 4
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num_workers: 4
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test:
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batch_size: 1
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num_workers: 1
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optimizer:
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type: 'Adam'
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lr: 0.004
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save_cfg:
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semantic: True
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offset: True
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instance: True
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fp16: False
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epochs: 20
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step_epoch: 0
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save_freq: 2
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pretrain: 'work_dirs/softgroup_s3dis_backbone/latest.pth'
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work_dir: ''
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2022-06-02 07:53:50,374 - INFO - Distributed: True
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2022-06-02 07:53:50,374 - INFO - Mix precision training: False
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2022-06-02 07:53:54,226 - INFO - Load train dataset: 4080 scans
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2022-06-02 07:53:54,227 - INFO - Load test dataset: 68 scans
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2022-06-02 07:53:54,229 - INFO - Load pretrain from work_dirs/softgroup_s3dis_backbone_sanity_aug1_org_xyz_middle_time2/latest.pth
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2022-06-02 07:53:54,551 - INFO - missing keys in source state_dict: tiny_unet.blocks.block0.conv_branch.0.weight, tiny_unet.blocks.block0.conv_branch.0.bias, tiny_unet.blocks.block0.conv_branch.0.running_mean, tiny_unet.blocks.block0.conv_branch.0.running_var, tiny_unet.blocks.block0.conv_branch.2.weight, tiny_unet.blocks.block0.conv_branch.3.weight, tiny_unet.blocks.block0.conv_branch.3.bias, tiny_unet.blocks.block0.conv_branch.3.running_mean, tiny_unet.blocks.block0.conv_branch.3.running_var, tiny_unet.blocks.block0.conv_branch.5.weight, tiny_unet.blocks.block1.conv_branch.0.weight, tiny_unet.blocks.block1.conv_branch.0.bias, tiny_unet.blocks.block1.conv_branch.0.running_mean, tiny_unet.blocks.block1.conv_branch.0.running_var, tiny_unet.blocks.block1.conv_branch.2.weight, tiny_unet.blocks.block1.conv_branch.3.weight, tiny_unet.blocks.block1.conv_branch.3.bias, tiny_unet.blocks.block1.conv_branch.3.running_mean, tiny_unet.blocks.block1.conv_branch.3.running_var, tiny_unet.blocks.block1.conv_branch.5.weight, tiny_unet.conv.0.weight, tiny_unet.conv.0.bias, tiny_unet.conv.0.running_mean, tiny_unet.conv.0.running_var, tiny_unet.conv.2.weight, tiny_unet.u.blocks.block0.conv_branch.0.weight, tiny_unet.u.blocks.block0.conv_branch.0.bias, tiny_unet.u.blocks.block0.conv_branch.0.running_mean, tiny_unet.u.blocks.block0.conv_branch.0.running_var, tiny_unet.u.blocks.block0.conv_branch.2.weight, tiny_unet.u.blocks.block0.conv_branch.3.weight, tiny_unet.u.blocks.block0.conv_branch.3.bias, tiny_unet.u.blocks.block0.conv_branch.3.running_mean, tiny_unet.u.blocks.block0.conv_branch.3.running_var, tiny_unet.u.blocks.block0.conv_branch.5.weight, tiny_unet.u.blocks.block1.conv_branch.0.weight, tiny_unet.u.blocks.block1.conv_branch.0.bias, tiny_unet.u.blocks.block1.conv_branch.0.running_mean, tiny_unet.u.blocks.block1.conv_branch.0.running_var, tiny_unet.u.blocks.block1.conv_branch.2.weight, tiny_unet.u.blocks.block1.conv_branch.3.weight, tiny_unet.u.blocks.block1.conv_branch.3.bias, tiny_unet.u.blocks.block1.conv_branch.3.running_mean, tiny_unet.u.blocks.block1.conv_branch.3.running_var, tiny_unet.u.blocks.block1.conv_branch.5.weight, tiny_unet.deconv.0.weight, tiny_unet.deconv.0.bias, tiny_unet.deconv.0.running_mean, tiny_unet.deconv.0.running_var, tiny_unet.deconv.2.weight, tiny_unet.blocks_tail.block0.i_branch.0.weight, tiny_unet.blocks_tail.block0.conv_branch.0.weight, tiny_unet.blocks_tail.block0.conv_branch.0.bias, tiny_unet.blocks_tail.block0.conv_branch.0.running_mean, tiny_unet.blocks_tail.block0.conv_branch.0.running_var, tiny_unet.blocks_tail.block0.conv_branch.2.weight, tiny_unet.blocks_tail.block0.conv_branch.3.weight, tiny_unet.blocks_tail.block0.conv_branch.3.bias, tiny_unet.blocks_tail.block0.conv_branch.3.running_mean, tiny_unet.blocks_tail.block0.conv_branch.3.running_var, tiny_unet.blocks_tail.block0.conv_branch.5.weight, tiny_unet.blocks_tail.block1.conv_branch.0.weight, tiny_unet.blocks_tail.block1.conv_branch.0.bias, tiny_unet.blocks_tail.block1.conv_branch.0.running_mean, tiny_unet.blocks_tail.block1.conv_branch.0.running_var, tiny_unet.blocks_tail.block1.conv_branch.2.weight, tiny_unet.blocks_tail.block1.conv_branch.3.weight, tiny_unet.blocks_tail.block1.conv_branch.3.bias, tiny_unet.blocks_tail.block1.conv_branch.3.running_mean, tiny_unet.blocks_tail.block1.conv_branch.3.running_var, tiny_unet.blocks_tail.block1.conv_branch.5.weight, tiny_unet_outputlayer.0.weight, tiny_unet_outputlayer.0.bias, tiny_unet_outputlayer.0.running_mean, tiny_unet_outputlayer.0.running_var, cls_linear.weight, cls_linear.bias, mask_linear.0.weight, mask_linear.0.bias, mask_linear.2.weight, mask_linear.2.bias, iou_score_linear.weight, iou_score_linear.bias
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2022-06-02 07:53:54,553 - INFO - Training
|
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2022-06-02 07:54:28,126 - INFO - Epoch [1/20][10/255] lr: 0.004, eta: 4:44:40, mem: 1322, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1691, offset_loss: 0.5141, cls_loss: 2.0304, mask_loss: 0.4040, iou_score_loss: 0.1229, loss: 3.2406
|
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2022-06-02 07:55:01,141 - INFO - Epoch [1/20][20/255] lr: 0.004, eta: 4:41:50, mem: 1322, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1463, offset_loss: 0.5638, cls_loss: 1.5698, mask_loss: 0.2221, iou_score_loss: 0.0481, loss: 2.5502
|
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2022-06-02 07:55:22,872 - INFO - Epoch [1/20][30/255] lr: 0.004, eta: 4:08:43, mem: 1322, data_time: 0.00, iter_time: 0.93, semantic_loss: 0.1503, offset_loss: 0.5763, cls_loss: 1.2391, mask_loss: 0.2647, iou_score_loss: 0.0442, loss: 2.2745
|
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2022-06-02 07:55:37,794 - INFO - Epoch [1/20][40/255] lr: 0.004, eta: 3:37:38, mem: 1322, data_time: 0.00, iter_time: 0.93, semantic_loss: 0.1228, offset_loss: 0.5023, cls_loss: 0.9995, mask_loss: 0.1860, iou_score_loss: 0.0255, loss: 1.8360
|
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2022-06-02 07:55:56,677 - INFO - Epoch [1/20][50/255] lr: 0.004, eta: 3:25:34, mem: 1322, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1228, offset_loss: 0.5253, cls_loss: 1.0399, mask_loss: 0.1914, iou_score_loss: 0.0204, loss: 1.8999
|
||||
2022-06-02 07:56:21,713 - INFO - Epoch [1/20][60/255] lr: 0.004, eta: 3:26:01, mem: 1322, data_time: 0.00, iter_time: 7.09, semantic_loss: 0.1373, offset_loss: 0.5326, cls_loss: 0.8519, mask_loss: 0.2147, iou_score_loss: 0.0192, loss: 1.7557
|
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2022-06-02 07:56:41,668 - INFO - Epoch [1/20][70/255] lr: 0.004, eta: 3:20:08, mem: 1322, data_time: 0.00, iter_time: 0.97, semantic_loss: 0.1397, offset_loss: 0.4515, cls_loss: 0.6905, mask_loss: 0.2372, iou_score_loss: 0.0190, loss: 1.5378
|
||||
2022-06-02 07:57:02,590 - INFO - Epoch [1/20][80/255] lr: 0.004, eta: 3:16:38, mem: 1322, data_time: 3.43, iter_time: 4.61, semantic_loss: 0.1391, offset_loss: 0.5969, cls_loss: 0.6372, mask_loss: 0.2209, iou_score_loss: 0.0186, loss: 1.6127
|
||||
2022-06-02 07:57:16,920 - INFO - Epoch [1/20][90/255] lr: 0.004, eta: 3:07:44, mem: 1405, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1493, offset_loss: 0.5616, cls_loss: 0.7154, mask_loss: 0.2343, iou_score_loss: 0.0212, loss: 1.6819
|
||||
2022-06-02 07:57:40,266 - INFO - Epoch [1/20][100/255] lr: 0.004, eta: 3:08:05, mem: 1421, data_time: 0.00, iter_time: 1.00, semantic_loss: 0.1536, offset_loss: 0.6587, cls_loss: 0.6418, mask_loss: 0.2153, iou_score_loss: 0.0151, loss: 1.6845
|
||||
2022-06-02 07:58:05,128 - INFO - Epoch [1/20][110/255] lr: 0.004, eta: 3:09:26, mem: 1421, data_time: 0.00, iter_time: 0.64, semantic_loss: 0.1489, offset_loss: 0.4976, cls_loss: 0.6358, mask_loss: 0.2118, iou_score_loss: 0.0168, loss: 1.5109
|
||||
2022-06-02 07:58:20,415 - INFO - Epoch [1/20][120/255] lr: 0.004, eta: 3:03:52, mem: 1421, data_time: 0.00, iter_time: 0.84, semantic_loss: 0.1503, offset_loss: 0.5526, cls_loss: 0.5620, mask_loss: 0.1928, iou_score_loss: 0.0221, loss: 1.4798
|
||||
2022-06-02 07:58:45,423 - INFO - Epoch [1/20][130/255] lr: 0.004, eta: 3:05:18, mem: 1421, data_time: 0.00, iter_time: 0.87, semantic_loss: 0.1511, offset_loss: 0.5345, cls_loss: 0.5464, mask_loss: 0.2015, iou_score_loss: 0.0167, loss: 1.4502
|
||||
2022-06-02 07:59:04,546 - INFO - Epoch [1/20][140/255] lr: 0.004, eta: 3:03:01, mem: 1421, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1413, offset_loss: 0.4774, cls_loss: 0.4336, mask_loss: 0.1775, iou_score_loss: 0.0162, loss: 1.2460
|
||||
2022-06-02 07:59:29,162 - INFO - Epoch [1/20][150/255] lr: 0.004, eta: 3:04:01, mem: 1421, data_time: 0.00, iter_time: 3.79, semantic_loss: 0.1380, offset_loss: 0.4953, cls_loss: 0.4728, mask_loss: 0.2480, iou_score_loss: 0.0163, loss: 1.3705
|
||||
2022-06-02 07:59:48,083 - INFO - Epoch [1/20][160/255] lr: 0.004, eta: 3:01:55, mem: 1421, data_time: 0.00, iter_time: 0.83, semantic_loss: 0.1353, offset_loss: 0.4531, cls_loss: 0.4310, mask_loss: 0.2434, iou_score_loss: 0.0225, loss: 1.2853
|
||||
2022-06-02 08:00:05,622 - INFO - Epoch [1/20][170/255] lr: 0.004, eta: 2:59:20, mem: 1421, data_time: 0.00, iter_time: 2.03, semantic_loss: 0.1343, offset_loss: 0.5377, cls_loss: 0.4243, mask_loss: 0.2104, iou_score_loss: 0.0188, loss: 1.3255
|
||||
2022-06-02 08:00:24,929 - INFO - Epoch [1/20][180/255] lr: 0.004, eta: 2:57:50, mem: 1421, data_time: 0.00, iter_time: 1.07, semantic_loss: 0.1332, offset_loss: 0.5377, cls_loss: 0.4870, mask_loss: 0.2320, iou_score_loss: 0.0205, loss: 1.4103
|
||||
2022-06-02 08:00:45,215 - INFO - Epoch [1/20][190/255] lr: 0.004, eta: 2:56:51, mem: 1421, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1292, offset_loss: 0.5058, cls_loss: 0.3841, mask_loss: 0.2199, iou_score_loss: 0.0161, loss: 1.2551
|
||||
2022-06-02 08:01:04,502 - INFO - Epoch [1/20][200/255] lr: 0.004, eta: 2:55:33, mem: 1421, data_time: 0.00, iter_time: 0.90, semantic_loss: 0.1394, offset_loss: 0.5239, cls_loss: 0.3718, mask_loss: 0.1859, iou_score_loss: 0.0128, loss: 1.2338
|
||||
2022-06-02 08:01:29,231 - INFO - Epoch [1/20][210/255] lr: 0.004, eta: 2:56:27, mem: 1421, data_time: 4.90, iter_time: 5.75, semantic_loss: 0.1425, offset_loss: 0.5661, cls_loss: 0.4373, mask_loss: 0.1768, iou_score_loss: 0.0140, loss: 1.3367
|
||||
2022-06-02 08:01:48,551 - INFO - Epoch [1/20][220/255] lr: 0.004, eta: 2:55:13, mem: 1421, data_time: 0.00, iter_time: 1.44, semantic_loss: 0.1226, offset_loss: 0.5407, cls_loss: 0.4352, mask_loss: 0.2343, iou_score_loss: 0.0160, loss: 1.3488
|
||||
2022-06-02 08:02:11,060 - INFO - Epoch [1/20][230/255] lr: 0.004, eta: 2:55:12, mem: 1421, data_time: 1.30, iter_time: 2.03, semantic_loss: 0.1475, offset_loss: 0.5719, cls_loss: 0.5312, mask_loss: 0.2420, iou_score_loss: 0.0195, loss: 1.5120
|
||||
2022-06-02 08:02:36,160 - INFO - Epoch [1/20][240/255] lr: 0.004, eta: 2:56:02, mem: 1421, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1283, offset_loss: 0.4713, cls_loss: 0.3618, mask_loss: 0.1614, iou_score_loss: 0.0134, loss: 1.1362
|
||||
2022-06-02 08:03:00,286 - INFO - Epoch [1/20][250/255] lr: 0.004, eta: 2:56:27, mem: 1421, data_time: 0.00, iter_time: 0.83, semantic_loss: 0.1452, offset_loss: 0.5230, cls_loss: 0.3593, mask_loss: 0.2058, iou_score_loss: 0.0149, loss: 1.2482
|
||||
2022-06-02 08:03:14,242 - INFO - Validation
|
||||
2022-06-02 08:06:08,539 - INFO - Evaluate instance segmentation
|
||||
2022-06-02 08:06:59,930 - INFO - AP: 0.519. AP_50: 0.652. AP_25: 0.723
|
||||
2022-06-02 08:06:59,931 - INFO - Evaluate semantic segmentation and offset MAE
|
||||
2022-06-02 08:07:09,680 - INFO - Class-wise mIoU: 85.9 97.0 85.1 0.0 36.7 61.9 72.4 88.3 79.4 75.1 69.4 79.6 57.2
|
||||
2022-06-02 08:07:09,681 - INFO - mIoU: 68.3
|
||||
2022-06-02 08:07:12,267 - INFO - Acc: 89.3
|
||||
2022-06-02 08:07:20,683 - INFO - Offset MAE: 1.983
|
||||
2022-06-02 08:07:48,251 - INFO - Epoch [2/20][10/255] lr: 0.004, eta: 3:40:47, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1414, offset_loss: 0.4754, cls_loss: 0.4191, mask_loss: 0.1617, iou_score_loss: 0.0148, loss: 1.2123
|
||||
2022-06-02 08:08:11,460 - INFO - Epoch [2/20][20/255] lr: 0.004, eta: 3:23:29, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1447, offset_loss: 0.5136, cls_loss: 0.4352, mask_loss: 0.1858, iou_score_loss: 0.0134, loss: 1.2927
|
||||
2022-06-02 08:08:30,271 - INFO - Epoch [2/20][30/255] lr: 0.004, eta: 3:05:39, mem: 18341, data_time: 0.00, iter_time: 2.86, semantic_loss: 0.1460, offset_loss: 0.5058, cls_loss: 0.3776, mask_loss: 0.1828, iou_score_loss: 0.0113, loss: 1.2235
|
||||
2022-06-02 08:08:55,837 - INFO - Epoch [2/20][40/255] lr: 0.004, eta: 3:10:09, mem: 18341, data_time: 3.43, iter_time: 4.08, semantic_loss: 0.1556, offset_loss: 0.5771, cls_loss: 0.4085, mask_loss: 0.2040, iou_score_loss: 0.0158, loss: 1.3610
|
||||
2022-06-02 08:09:12,307 - INFO - Epoch [2/20][50/255] lr: 0.004, eta: 2:58:07, mem: 18341, data_time: 0.00, iter_time: 0.66, semantic_loss: 0.1232, offset_loss: 0.5477, cls_loss: 0.3270, mask_loss: 0.1571, iou_score_loss: 0.0114, loss: 1.1663
|
||||
2022-06-02 08:09:31,728 - INFO - Epoch [2/20][60/255] lr: 0.004, eta: 2:53:56, mem: 18341, data_time: 5.86, iter_time: 6.68, semantic_loss: 0.1318, offset_loss: 0.5181, cls_loss: 0.3404, mask_loss: 0.1802, iou_score_loss: 0.0121, loss: 1.1827
|
||||
2022-06-02 08:09:45,655 - INFO - Epoch [2/20][70/255] lr: 0.004, eta: 2:44:37, mem: 18341, data_time: 0.31, iter_time: 1.12, semantic_loss: 0.1306, offset_loss: 0.5041, cls_loss: 0.3251, mask_loss: 0.1821, iou_score_loss: 0.0120, loss: 1.1539
|
||||
2022-06-02 08:10:16,545 - INFO - Epoch [2/20][80/255] lr: 0.004, eta: 2:54:24, mem: 18341, data_time: 0.00, iter_time: 0.66, semantic_loss: 0.1480, offset_loss: 0.6821, cls_loss: 0.5540, mask_loss: 0.1745, iou_score_loss: 0.0156, loss: 1.5742
|
||||
2022-06-02 08:10:34,195 - INFO - Epoch [2/20][90/255] lr: 0.004, eta: 2:50:14, mem: 18341, data_time: 2.01, iter_time: 2.78, semantic_loss: 0.1212, offset_loss: 0.5872, cls_loss: 0.3645, mask_loss: 0.1680, iou_score_loss: 0.0144, loss: 1.2553
|
||||
2022-06-02 08:10:56,811 - INFO - Epoch [2/20][100/255] lr: 0.004, eta: 2:50:47, mem: 18341, data_time: 0.00, iter_time: 4.28, semantic_loss: 0.1649, offset_loss: 0.5307, cls_loss: 0.4087, mask_loss: 0.1867, iou_score_loss: 0.0155, loss: 1.3064
|
||||
2022-06-02 08:11:21,640 - INFO - Epoch [2/20][110/255] lr: 0.004, eta: 2:52:44, mem: 18341, data_time: 4.87, iter_time: 5.50, semantic_loss: 0.1349, offset_loss: 0.5347, cls_loss: 0.2803, mask_loss: 0.1904, iou_score_loss: 0.0114, loss: 1.1517
|
||||
2022-06-02 08:11:51,602 - INFO - Epoch [2/20][120/255] lr: 0.004, eta: 2:57:40, mem: 18341, data_time: 0.00, iter_time: 0.55, semantic_loss: 0.1181, offset_loss: 0.5221, cls_loss: 0.3324, mask_loss: 0.2054, iou_score_loss: 0.0131, loss: 1.1911
|
||||
2022-06-02 08:12:06,209 - INFO - Epoch [2/20][130/255] lr: 0.004, eta: 2:52:29, mem: 18341, data_time: 0.27, iter_time: 0.92, semantic_loss: 0.1356, offset_loss: 0.4822, cls_loss: 0.3625, mask_loss: 0.2052, iou_score_loss: 0.0146, loss: 1.2000
|
||||
2022-06-02 08:12:33,202 - INFO - Epoch [2/20][140/255] lr: 0.004, eta: 2:54:56, mem: 18341, data_time: 0.00, iter_time: 0.75, semantic_loss: 0.1730, offset_loss: 0.5251, cls_loss: 0.4322, mask_loss: 0.1908, iou_score_loss: 0.0149, loss: 1.3359
|
||||
2022-06-02 08:13:01,446 - INFO - Epoch [2/20][150/255] lr: 0.004, eta: 2:57:40, mem: 18341, data_time: 0.00, iter_time: 0.66, semantic_loss: 0.1359, offset_loss: 0.5937, cls_loss: 0.3360, mask_loss: 0.1632, iou_score_loss: 0.0109, loss: 1.2396
|
||||
2022-06-02 08:13:24,047 - INFO - Epoch [2/20][160/255] lr: 0.004, eta: 2:57:13, mem: 18341, data_time: 0.00, iter_time: 2.38, semantic_loss: 0.1634, offset_loss: 0.5468, cls_loss: 0.3971, mask_loss: 0.1819, iou_score_loss: 0.0104, loss: 1.2996
|
||||
2022-06-02 08:13:44,599 - INFO - Epoch [2/20][170/255] lr: 0.004, eta: 2:55:52, mem: 18341, data_time: 0.92, iter_time: 2.96, semantic_loss: 0.1560, offset_loss: 0.5881, cls_loss: 0.4277, mask_loss: 0.1895, iou_score_loss: 0.0125, loss: 1.3738
|
||||
2022-06-02 08:14:10,801 - INFO - Epoch [2/20][180/255] lr: 0.004, eta: 2:57:04, mem: 18341, data_time: 0.00, iter_time: 0.64, semantic_loss: 0.1501, offset_loss: 0.5814, cls_loss: 0.4080, mask_loss: 0.1501, iou_score_loss: 0.0130, loss: 1.3026
|
||||
2022-06-02 08:14:37,043 - INFO - Epoch [2/20][190/255] lr: 0.004, eta: 2:58:06, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1810, offset_loss: 0.5264, cls_loss: 0.4135, mask_loss: 0.2266, iou_score_loss: 0.0123, loss: 1.3598
|
||||
2022-06-02 08:14:57,819 - INFO - Epoch [2/20][200/255] lr: 0.004, eta: 2:56:52, mem: 18341, data_time: 0.00, iter_time: 0.67, semantic_loss: 0.1167, offset_loss: 0.6152, cls_loss: 0.3732, mask_loss: 0.1601, iou_score_loss: 0.0130, loss: 1.2782
|
||||
2022-06-02 08:15:15,616 - INFO - Epoch [2/20][210/255] lr: 0.004, eta: 2:54:38, mem: 18341, data_time: 0.00, iter_time: 4.54, semantic_loss: 0.1511, offset_loss: 0.5363, cls_loss: 0.3622, mask_loss: 0.2148, iou_score_loss: 0.0141, loss: 1.2786
|
||||
2022-06-02 08:15:33,949 - INFO - Epoch [2/20][220/255] lr: 0.004, eta: 2:52:45, mem: 18341, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1498, offset_loss: 0.4993, cls_loss: 0.3242, mask_loss: 0.1706, iou_score_loss: 0.0128, loss: 1.1568
|
||||
2022-06-02 08:15:56,878 - INFO - Epoch [2/20][230/255] lr: 0.004, eta: 2:52:34, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1405, offset_loss: 0.5180, cls_loss: 0.3526, mask_loss: 0.2314, iou_score_loss: 0.0162, loss: 1.2586
|
||||
2022-06-02 08:16:13,666 - INFO - Epoch [2/20][240/255] lr: 0.004, eta: 2:50:23, mem: 18341, data_time: 3.04, iter_time: 4.60, semantic_loss: 0.1500, offset_loss: 0.4715, cls_loss: 0.3445, mask_loss: 0.1915, iou_score_loss: 0.0107, loss: 1.1683
|
||||
2022-06-02 08:16:36,288 - INFO - Epoch [2/20][250/255] lr: 0.004, eta: 2:50:08, mem: 18341, data_time: 0.00, iter_time: 0.67, semantic_loss: 0.1380, offset_loss: 0.5050, cls_loss: 0.2533, mask_loss: 0.2058, iou_score_loss: 0.0095, loss: 1.1116
|
||||
2022-06-02 08:16:44,889 - INFO - Validation
|
||||
2022-06-02 08:19:25,363 - INFO - Evaluate instance segmentation
|
||||
2022-06-02 08:20:09,715 - INFO - AP: 0.524. AP_50: 0.652. AP_25: 0.721
|
||||
2022-06-02 08:20:09,715 - INFO - Evaluate semantic segmentation and offset MAE
|
||||
2022-06-02 08:20:19,605 - INFO - Class-wise mIoU: 85.9 97.0 85.1 0.0 36.7 61.9 72.4 88.3 79.4 75.1 69.4 79.6 57.2
|
||||
2022-06-02 08:20:19,605 - INFO - mIoU: 68.3
|
||||
2022-06-02 08:20:21,919 - INFO - Acc: 89.3
|
||||
2022-06-02 08:20:30,328 - INFO - Offset MAE: 1.983
|
||||
2022-06-02 08:20:59,862 - INFO - Epoch [3/20][10/255] lr: 0.0039, eta: 3:44:02, mem: 18341, data_time: 0.00, iter_time: 0.72, semantic_loss: 0.1376, offset_loss: 0.5331, cls_loss: 0.3284, mask_loss: 0.1468, iou_score_loss: 0.0113, loss: 1.1573
|
||||
2022-06-02 08:21:25,381 - INFO - Epoch [3/20][20/255] lr: 0.0039, eta: 3:28:56, mem: 18341, data_time: 4.19, iter_time: 4.87, semantic_loss: 0.1473, offset_loss: 0.5321, cls_loss: 0.3285, mask_loss: 0.1714, iou_score_loss: 0.0112, loss: 1.1906
|
||||
2022-06-02 08:21:39,754 - INFO - Epoch [3/20][30/255] lr: 0.0039, eta: 2:55:22, mem: 18341, data_time: 0.00, iter_time: 0.78, semantic_loss: 0.1752, offset_loss: 0.4985, cls_loss: 0.4224, mask_loss: 0.2296, iou_score_loss: 0.0154, loss: 1.3411
|
||||
2022-06-02 08:22:06,033 - INFO - Epoch [3/20][40/255] lr: 0.0039, eta: 3:01:05, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1450, offset_loss: 0.5366, cls_loss: 0.2954, mask_loss: 0.1807, iou_score_loss: 0.0128, loss: 1.1705
|
||||
2022-06-02 08:22:21,669 - INFO - Epoch [3/20][50/255] lr: 0.0039, eta: 2:48:12, mem: 18341, data_time: 0.00, iter_time: 0.82, semantic_loss: 0.1481, offset_loss: 0.6521, cls_loss: 0.3702, mask_loss: 0.1737, iou_score_loss: 0.0163, loss: 1.3605
|
||||
2022-06-02 08:22:40,796 - INFO - Epoch [3/20][60/255] lr: 0.0039, eta: 2:43:56, mem: 18341, data_time: 0.00, iter_time: 3.45, semantic_loss: 0.1590, offset_loss: 0.5198, cls_loss: 0.4532, mask_loss: 0.2208, iou_score_loss: 0.0170, loss: 1.3699
|
||||
2022-06-02 08:22:59,446 - INFO - Epoch [3/20][70/255] lr: 0.0039, eta: 2:40:16, mem: 18341, data_time: 0.00, iter_time: 0.79, semantic_loss: 0.1283, offset_loss: 0.5708, cls_loss: 0.3509, mask_loss: 0.2056, iou_score_loss: 0.0163, loss: 1.2720
|
||||
2022-06-02 08:23:16,825 - INFO - Epoch [3/20][80/255] lr: 0.0039, eta: 2:36:16, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1440, offset_loss: 0.4881, cls_loss: 0.3687, mask_loss: 0.1720, iou_score_loss: 0.0107, loss: 1.1834
|
||||
2022-06-02 08:23:34,578 - INFO - Epoch [3/20][90/255] lr: 0.0039, eta: 2:33:22, mem: 18341, data_time: 0.00, iter_time: 0.66, semantic_loss: 0.1349, offset_loss: 0.6021, cls_loss: 0.3414, mask_loss: 0.1552, iou_score_loss: 0.0120, loss: 1.2457
|
||||
2022-06-02 08:23:56,041 - INFO - Epoch [3/20][100/255] lr: 0.0039, eta: 2:33:48, mem: 18341, data_time: 0.00, iter_time: 4.56, semantic_loss: 0.1276, offset_loss: 0.6097, cls_loss: 0.3484, mask_loss: 0.2085, iou_score_loss: 0.0121, loss: 1.3063
|
||||
2022-06-02 08:24:13,580 - INFO - Epoch [3/20][110/255] lr: 0.0039, eta: 2:31:24, mem: 18341, data_time: 0.00, iter_time: 0.84, semantic_loss: 0.1474, offset_loss: 0.5618, cls_loss: 0.3711, mask_loss: 0.1855, iou_score_loss: 0.0137, loss: 1.2795
|
||||
2022-06-02 08:24:51,300 - INFO - Epoch [3/20][120/255] lr: 0.0039, eta: 2:41:54, mem: 18341, data_time: 0.00, iter_time: 0.60, semantic_loss: 0.1337, offset_loss: 0.4995, cls_loss: 0.3286, mask_loss: 0.1576, iou_score_loss: 0.0103, loss: 1.1297
|
||||
2022-06-02 08:25:07,883 - INFO - Epoch [3/20][130/255] lr: 0.0039, eta: 2:38:36, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1252, offset_loss: 0.5714, cls_loss: 0.3697, mask_loss: 0.1923, iou_score_loss: 0.0147, loss: 1.2733
|
||||
2022-06-02 08:25:27,515 - INFO - Epoch [3/20][140/255] lr: 0.0039, eta: 2:37:20, mem: 18341, data_time: 2.17, iter_time: 2.98, semantic_loss: 0.1381, offset_loss: 0.4798, cls_loss: 0.3527, mask_loss: 0.1444, iou_score_loss: 0.0125, loss: 1.1275
|
||||
2022-06-02 08:26:05,785 - INFO - Epoch [3/20][150/255] lr: 0.0039, eta: 2:45:24, mem: 18341, data_time: 0.00, iter_time: 8.48, semantic_loss: 0.1194, offset_loss: 0.4596, cls_loss: 0.2709, mask_loss: 0.1631, iou_score_loss: 0.0111, loss: 1.0241
|
||||
2022-06-02 08:26:20,896 - INFO - Epoch [3/20][160/255] lr: 0.0039, eta: 2:41:41, mem: 18341, data_time: 0.00, iter_time: 0.82, semantic_loss: 0.1489, offset_loss: 0.5166, cls_loss: 0.3247, mask_loss: 0.1886, iou_score_loss: 0.0124, loss: 1.1913
|
||||
2022-06-02 08:26:43,468 - INFO - Epoch [3/20][170/255] lr: 0.0039, eta: 2:41:35, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1348, offset_loss: 0.4902, cls_loss: 0.3280, mask_loss: 0.1882, iou_score_loss: 0.0095, loss: 1.1507
|
||||
2022-06-02 08:27:08,373 - INFO - Epoch [3/20][180/255] lr: 0.0039, eta: 2:42:27, mem: 18341, data_time: 0.00, iter_time: 4.85, semantic_loss: 0.1494, offset_loss: 0.5253, cls_loss: 0.3839, mask_loss: 0.2068, iou_score_loss: 0.0139, loss: 1.2793
|
||||
2022-06-02 08:27:26,123 - INFO - Epoch [3/20][190/255] lr: 0.0039, eta: 2:40:24, mem: 18341, data_time: 0.00, iter_time: 0.60, semantic_loss: 0.1325, offset_loss: 0.4970, cls_loss: 0.3685, mask_loss: 0.1851, iou_score_loss: 0.0133, loss: 1.1963
|
||||
2022-06-02 08:27:42,351 - INFO - Epoch [3/20][200/255] lr: 0.0039, eta: 2:37:58, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1289, offset_loss: 0.5330, cls_loss: 0.3102, mask_loss: 0.1765, iou_score_loss: 0.0114, loss: 1.1600
|
||||
2022-06-02 08:28:05,379 - INFO - Epoch [3/20][210/255] lr: 0.0039, eta: 2:38:07, mem: 18341, data_time: 6.74, iter_time: 7.45, semantic_loss: 0.1521, offset_loss: 0.6256, cls_loss: 0.4061, mask_loss: 0.2099, iou_score_loss: 0.0116, loss: 1.4052
|
||||
2022-06-02 08:28:37,208 - INFO - Epoch [3/20][220/255] lr: 0.0039, eta: 2:41:07, mem: 18341, data_time: 0.00, iter_time: 12.08, semantic_loss: 0.1407, offset_loss: 0.5343, cls_loss: 0.3580, mask_loss: 0.1961, iou_score_loss: 0.0107, loss: 1.2398
|
||||
2022-06-02 08:28:48,984 - INFO - Epoch [3/20][230/255] lr: 0.0039, eta: 2:37:28, mem: 18341, data_time: 0.00, iter_time: 2.37, semantic_loss: 0.1300, offset_loss: 0.5425, cls_loss: 0.3170, mask_loss: 0.1973, iou_score_loss: 0.0150, loss: 1.2018
|
||||
2022-06-02 08:29:12,809 - INFO - Epoch [3/20][240/255] lr: 0.0039, eta: 2:37:46, mem: 18341, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1326, offset_loss: 0.5258, cls_loss: 0.3254, mask_loss: 0.1569, iou_score_loss: 0.0139, loss: 1.1545
|
||||
2022-06-02 08:29:39,004 - INFO - Epoch [3/20][250/255] lr: 0.0039, eta: 2:38:41, mem: 18341, data_time: 0.00, iter_time: 4.72, semantic_loss: 0.1726, offset_loss: 0.5475, cls_loss: 0.3673, mask_loss: 0.1425, iou_score_loss: 0.0097, loss: 1.2396
|
||||
2022-06-02 08:30:27,974 - INFO - Epoch [4/20][10/255] lr: 0.0038, eta: 3:54:18, mem: 18341, data_time: 0.00, iter_time: 0.72, semantic_loss: 0.1465, offset_loss: 0.5300, cls_loss: 0.3133, mask_loss: 0.1634, iou_score_loss: 0.0120, loss: 1.1652
|
||||
2022-06-02 08:30:49,291 - INFO - Epoch [4/20][20/255] lr: 0.0038, eta: 3:13:32, mem: 18341, data_time: 0.00, iter_time: 5.86, semantic_loss: 0.1154, offset_loss: 0.4724, cls_loss: 0.3308, mask_loss: 0.2116, iou_score_loss: 0.0140, loss: 1.1441
|
||||
2022-06-02 08:31:02,494 - INFO - Epoch [4/20][30/255] lr: 0.0038, eta: 2:40:19, mem: 18341, data_time: 0.00, iter_time: 0.94, semantic_loss: 0.1339, offset_loss: 0.5494, cls_loss: 0.3557, mask_loss: 0.1655, iou_score_loss: 0.0122, loss: 1.2167
|
||||
2022-06-02 08:31:20,960 - INFO - Epoch [4/20][40/255] lr: 0.0038, eta: 2:32:58, mem: 18341, data_time: 0.00, iter_time: 0.91, semantic_loss: 0.1488, offset_loss: 0.5298, cls_loss: 0.2515, mask_loss: 0.1993, iou_score_loss: 0.0112, loss: 1.1406
|
||||
2022-06-02 08:31:48,007 - INFO - Epoch [4/20][50/255] lr: 0.0038, eta: 2:40:44, mem: 18341, data_time: 0.00, iter_time: 13.64, semantic_loss: 0.1355, offset_loss: 0.5078, cls_loss: 0.3464, mask_loss: 0.1697, iou_score_loss: 0.0138, loss: 1.1732
|
||||
2022-06-02 08:32:12,159 - INFO - Epoch [4/20][60/255] lr: 0.0038, eta: 2:42:19, mem: 18341, data_time: 0.00, iter_time: 4.88, semantic_loss: 0.1418, offset_loss: 0.5987, cls_loss: 0.3541, mask_loss: 0.1661, iou_score_loss: 0.0117, loss: 1.2724
|
||||
2022-06-02 08:32:26,161 - INFO - Epoch [4/20][70/255] lr: 0.0038, eta: 2:33:01, mem: 18341, data_time: 0.00, iter_time: 2.26, semantic_loss: 0.1548, offset_loss: 0.4978, cls_loss: 0.3533, mask_loss: 0.1533, iou_score_loss: 0.0091, loss: 1.1683
|
||||
2022-06-02 08:32:49,743 - INFO - Epoch [4/20][80/255] lr: 0.0038, eta: 2:34:29, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1312, offset_loss: 0.5854, cls_loss: 0.3821, mask_loss: 0.2303, iou_score_loss: 0.0103, loss: 1.3393
|
||||
2022-06-02 08:33:07,327 - INFO - Epoch [4/20][90/255] lr: 0.0038, eta: 2:30:49, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1346, offset_loss: 0.4882, cls_loss: 0.3211, mask_loss: 0.1568, iou_score_loss: 0.0087, loss: 1.1094
|
||||
2022-06-02 08:33:29,695 - INFO - Epoch [4/20][100/255] lr: 0.0038, eta: 2:31:11, mem: 18341, data_time: 0.00, iter_time: 0.72, semantic_loss: 0.1289, offset_loss: 0.5000, cls_loss: 0.3652, mask_loss: 0.2041, iou_score_loss: 0.0167, loss: 1.2149
|
||||
2022-06-02 08:33:47,037 - INFO - Epoch [4/20][110/255] lr: 0.0038, eta: 2:28:14, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1297, offset_loss: 0.6644, cls_loss: 0.3548, mask_loss: 0.1823, iou_score_loss: 0.0123, loss: 1.3436
|
||||
2022-06-02 08:34:07,576 - INFO - Epoch [4/20][120/255] lr: 0.0038, eta: 2:27:35, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1428, offset_loss: 0.6065, cls_loss: 0.3607, mask_loss: 0.1983, iou_score_loss: 0.0104, loss: 1.3187
|
||||
2022-06-02 08:34:28,127 - INFO - Epoch [4/20][130/255] lr: 0.0038, eta: 2:26:59, mem: 18341, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1399, offset_loss: 0.5317, cls_loss: 0.3544, mask_loss: 0.1721, iou_score_loss: 0.0106, loss: 1.2088
|
||||
2022-06-02 08:34:52,623 - INFO - Epoch [4/20][140/255] lr: 0.0038, eta: 2:28:24, mem: 18341, data_time: 0.00, iter_time: 0.88, semantic_loss: 0.1352, offset_loss: 0.6140, cls_loss: 0.3843, mask_loss: 0.2112, iou_score_loss: 0.0102, loss: 1.3549
|
||||
2022-06-02 08:35:12,653 - INFO - Epoch [4/20][150/255] lr: 0.0038, eta: 2:27:29, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1280, offset_loss: 0.5213, cls_loss: 0.2749, mask_loss: 0.1755, iou_score_loss: 0.0109, loss: 1.1105
|
||||
2022-06-02 08:35:28,605 - INFO - Epoch [4/20][160/255] lr: 0.0038, eta: 2:24:52, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1193, offset_loss: 0.4941, cls_loss: 0.3041, mask_loss: 0.1996, iou_score_loss: 0.0098, loss: 1.1270
|
||||
2022-06-02 08:35:48,739 - INFO - Epoch [4/20][170/255] lr: 0.0038, eta: 2:24:14, mem: 18341, data_time: 0.37, iter_time: 1.21, semantic_loss: 0.1397, offset_loss: 0.5688, cls_loss: 0.3133, mask_loss: 0.1420, iou_score_loss: 0.0112, loss: 1.1751
|
||||
2022-06-02 08:36:15,819 - INFO - Epoch [4/20][180/255] lr: 0.0038, eta: 2:26:19, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1328, offset_loss: 0.6269, cls_loss: 0.5048, mask_loss: 0.1564, iou_score_loss: 0.0141, loss: 1.4349
|
||||
2022-06-02 08:36:36,670 - INFO - Epoch [4/20][190/255] lr: 0.0038, eta: 2:25:52, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1386, offset_loss: 0.5489, cls_loss: 0.3721, mask_loss: 0.1731, iou_score_loss: 0.0128, loss: 1.2454
|
||||
2022-06-02 08:36:50,534 - INFO - Epoch [4/20][200/255] lr: 0.0038, eta: 2:23:01, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1416, offset_loss: 0.4914, cls_loss: 0.3512, mask_loss: 0.1825, iou_score_loss: 0.0099, loss: 1.1765
|
||||
2022-06-02 08:37:11,871 - INFO - Epoch [4/20][210/255] lr: 0.0038, eta: 2:22:52, mem: 18341, data_time: 0.00, iter_time: 0.83, semantic_loss: 0.1444, offset_loss: 0.5101, cls_loss: 0.3487, mask_loss: 0.1661, iou_score_loss: 0.0130, loss: 1.1824
|
||||
2022-06-02 08:37:25,518 - INFO - Epoch [4/20][220/255] lr: 0.0038, eta: 2:20:17, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1435, offset_loss: 0.5488, cls_loss: 0.3102, mask_loss: 0.1764, iou_score_loss: 0.0107, loss: 1.1897
|
||||
2022-06-02 08:37:47,052 - INFO - Epoch [4/20][230/255] lr: 0.0038, eta: 2:20:16, mem: 18341, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1472, offset_loss: 0.5332, cls_loss: 0.3818, mask_loss: 0.1853, iou_score_loss: 0.0147, loss: 1.2623
|
||||
2022-06-02 08:38:19,701 - INFO - Epoch [4/20][240/255] lr: 0.0038, eta: 2:23:23, mem: 18341, data_time: 0.00, iter_time: 0.66, semantic_loss: 0.1433, offset_loss: 0.5050, cls_loss: 0.4027, mask_loss: 0.1852, iou_score_loss: 0.0109, loss: 1.2471
|
||||
2022-06-02 08:38:39,495 - INFO - Epoch [4/20][250/255] lr: 0.0038, eta: 2:22:42, mem: 18341, data_time: 0.00, iter_time: 0.63, semantic_loss: 0.1334, offset_loss: 0.5121, cls_loss: 0.3514, mask_loss: 0.1544, iou_score_loss: 0.0091, loss: 1.1604
|
||||
2022-06-02 08:38:56,699 - INFO - Validation
|
||||
2022-06-02 08:41:27,117 - INFO - Evaluate instance segmentation
|
||||
2022-06-02 08:42:06,986 - INFO - AP: 0.529. AP_50: 0.664. AP_25: 0.737
|
||||
2022-06-02 08:42:06,986 - INFO - Evaluate semantic segmentation and offset MAE
|
||||
2022-06-02 08:42:17,263 - INFO - Class-wise mIoU: 85.9 97.0 85.1 0.0 36.7 61.9 72.4 88.3 79.4 75.1 69.4 79.6 57.2
|
||||
2022-06-02 08:42:17,263 - INFO - mIoU: 68.3
|
||||
2022-06-02 08:42:19,715 - INFO - Acc: 89.3
|
||||
2022-06-02 08:42:28,070 - INFO - Offset MAE: 1.983
|
||||
2022-06-02 08:42:50,286 - INFO - Epoch [5/20][10/255] lr: 0.0036, eta: 2:29:24, mem: 18341, data_time: 0.00, iter_time: 0.88, semantic_loss: 0.1389, offset_loss: 0.4854, cls_loss: 0.2750, mask_loss: 0.1630, iou_score_loss: 0.0084, loss: 1.0707
|
||||
2022-06-02 08:43:11,394 - INFO - Epoch [5/20][20/255] lr: 0.0036, eta: 2:25:59, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1496, offset_loss: 0.5257, cls_loss: 0.3046, mask_loss: 0.1673, iou_score_loss: 0.0111, loss: 1.1584
|
||||
2022-06-02 08:43:29,574 - INFO - Epoch [5/20][30/255] lr: 0.0036, eta: 2:17:59, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1219, offset_loss: 0.5711, cls_loss: 0.2768, mask_loss: 0.2018, iou_score_loss: 0.0095, loss: 1.1811
|
||||
2022-06-02 08:43:50,845 - INFO - Epoch [5/20][40/255] lr: 0.0036, eta: 2:19:01, mem: 18341, data_time: 0.93, iter_time: 1.80, semantic_loss: 0.1228, offset_loss: 0.4988, cls_loss: 0.3528, mask_loss: 0.1760, iou_score_loss: 0.0121, loss: 1.1625
|
||||
2022-06-02 08:44:12,842 - INFO - Epoch [5/20][50/255] lr: 0.0036, eta: 2:20:30, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1393, offset_loss: 0.5802, cls_loss: 0.3842, mask_loss: 0.2195, iou_score_loss: 0.0148, loss: 1.3380
|
||||
2022-06-02 08:44:39,176 - INFO - Epoch [5/20][60/255] lr: 0.0036, eta: 2:26:11, mem: 18341, data_time: 0.00, iter_time: 0.64, semantic_loss: 0.1444, offset_loss: 0.5376, cls_loss: 0.2873, mask_loss: 0.1794, iou_score_loss: 0.0103, loss: 1.1590
|
||||
2022-06-02 08:44:53,532 - INFO - Epoch [5/20][70/255] lr: 0.0036, eta: 2:18:41, mem: 18341, data_time: 1.49, iter_time: 2.21, semantic_loss: 0.1289, offset_loss: 0.4447, cls_loss: 0.2484, mask_loss: 0.1505, iou_score_loss: 0.0105, loss: 0.9830
|
||||
2022-06-02 08:45:15,934 - INFO - Epoch [5/20][80/255] lr: 0.0036, eta: 2:19:44, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1545, offset_loss: 0.5120, cls_loss: 0.3926, mask_loss: 0.1618, iou_score_loss: 0.0111, loss: 1.2320
|
||||
2022-06-02 08:45:41,104 - INFO - Epoch [5/20][90/255] lr: 0.0036, eta: 2:22:29, mem: 18341, data_time: 3.45, iter_time: 4.14, semantic_loss: 0.1572, offset_loss: 0.5262, cls_loss: 0.3625, mask_loss: 0.2122, iou_score_loss: 0.0105, loss: 1.2686
|
||||
2022-06-02 08:46:07,390 - INFO - Epoch [5/20][100/255] lr: 0.0036, eta: 2:25:21, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1489, offset_loss: 0.4860, cls_loss: 0.3223, mask_loss: 0.1999, iou_score_loss: 0.0093, loss: 1.1664
|
||||
2022-06-02 08:46:24,639 - INFO - Epoch [5/20][110/255] lr: 0.0036, eta: 2:22:11, mem: 18341, data_time: 0.00, iter_time: 0.78, semantic_loss: 0.1435, offset_loss: 0.4765, cls_loss: 0.2785, mask_loss: 0.1605, iou_score_loss: 0.0118, loss: 1.0709
|
||||
2022-06-02 08:46:46,327 - INFO - Epoch [5/20][120/255] lr: 0.0036, eta: 2:21:56, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1576, offset_loss: 0.4690, cls_loss: 0.3278, mask_loss: 0.1881, iou_score_loss: 0.0119, loss: 1.1543
|
||||
2022-06-02 08:47:13,712 - INFO - Epoch [5/20][130/255] lr: 0.0036, eta: 2:24:33, mem: 18341, data_time: 0.00, iter_time: 0.78, semantic_loss: 0.1339, offset_loss: 0.5954, cls_loss: 0.3669, mask_loss: 0.1386, iou_score_loss: 0.0094, loss: 1.2443
|
||||
2022-06-02 08:47:29,424 - INFO - Epoch [5/20][140/255] lr: 0.0036, eta: 2:21:16, mem: 18341, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1393, offset_loss: 0.5530, cls_loss: 0.3012, mask_loss: 0.1842, iou_score_loss: 0.0111, loss: 1.1887
|
||||
2022-06-02 08:47:52,907 - INFO - Epoch [5/20][150/255] lr: 0.0036, eta: 2:21:45, mem: 18341, data_time: 0.00, iter_time: 0.66, semantic_loss: 0.1197, offset_loss: 0.5216, cls_loss: 0.2166, mask_loss: 0.1491, iou_score_loss: 0.0082, loss: 1.0152
|
||||
2022-06-02 08:48:12,256 - INFO - Epoch [5/20][160/255] lr: 0.0036, eta: 2:20:28, mem: 18341, data_time: 0.00, iter_time: 1.23, semantic_loss: 0.1500, offset_loss: 0.5718, cls_loss: 0.4001, mask_loss: 0.1655, iou_score_loss: 0.0108, loss: 1.2981
|
||||
2022-06-02 08:48:30,609 - INFO - Epoch [5/20][170/255] lr: 0.0036, eta: 2:18:54, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1380, offset_loss: 0.4798, cls_loss: 0.3332, mask_loss: 0.1725, iou_score_loss: 0.0109, loss: 1.1344
|
||||
2022-06-02 08:48:54,676 - INFO - Epoch [5/20][180/255] lr: 0.0036, eta: 2:19:32, mem: 18341, data_time: 0.00, iter_time: 0.92, semantic_loss: 0.1329, offset_loss: 0.5593, cls_loss: 0.2738, mask_loss: 0.1666, iou_score_loss: 0.0080, loss: 1.1406
|
||||
2022-06-02 08:49:17,128 - INFO - Epoch [5/20][190/255] lr: 0.0036, eta: 2:19:31, mem: 18341, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1456, offset_loss: 0.4833, cls_loss: 0.3399, mask_loss: 0.1957, iou_score_loss: 0.0109, loss: 1.1755
|
||||
2022-06-02 08:49:35,183 - INFO - Epoch [5/20][200/255] lr: 0.0036, eta: 2:18:02, mem: 18341, data_time: 0.00, iter_time: 0.85, semantic_loss: 0.1383, offset_loss: 0.5419, cls_loss: 0.2562, mask_loss: 0.1752, iou_score_loss: 0.0084, loss: 1.1201
|
||||
2022-06-02 08:49:59,890 - INFO - Epoch [5/20][210/255] lr: 0.0036, eta: 2:18:43, mem: 18341, data_time: 0.00, iter_time: 0.75, semantic_loss: 0.1427, offset_loss: 0.4816, cls_loss: 0.2879, mask_loss: 0.1886, iou_score_loss: 0.0097, loss: 1.1105
|
||||
2022-06-02 08:50:15,062 - INFO - Epoch [5/20][220/255] lr: 0.0036, eta: 2:16:30, mem: 18341, data_time: 1.13, iter_time: 4.05, semantic_loss: 0.1605, offset_loss: 0.5088, cls_loss: 0.3341, mask_loss: 0.1608, iou_score_loss: 0.0106, loss: 1.1748
|
||||
2022-06-02 08:50:35,982 - INFO - Epoch [5/20][230/255] lr: 0.0036, eta: 2:16:04, mem: 18341, data_time: 6.37, iter_time: 7.15, semantic_loss: 0.1215, offset_loss: 0.5072, cls_loss: 0.4183, mask_loss: 0.1614, iou_score_loss: 0.0108, loss: 1.2192
|
||||
2022-06-02 08:50:48,937 - INFO - Epoch [5/20][240/255] lr: 0.0036, eta: 2:13:31, mem: 18341, data_time: 0.00, iter_time: 0.72, semantic_loss: 0.1275, offset_loss: 0.5076, cls_loss: 0.2703, mask_loss: 0.1437, iou_score_loss: 0.0113, loss: 1.0604
|
||||
2022-06-02 08:51:11,653 - INFO - Epoch [5/20][250/255] lr: 0.0036, eta: 2:13:38, mem: 18341, data_time: 0.00, iter_time: 0.65, semantic_loss: 0.1451, offset_loss: 0.4684, cls_loss: 0.3244, mask_loss: 0.1348, iou_score_loss: 0.0105, loss: 1.0833
|
||||
2022-06-02 08:51:50,342 - INFO - Epoch [6/20][10/255] lr: 0.0034, eta: 2:58:55, mem: 18341, data_time: 0.00, iter_time: 0.69, semantic_loss: 0.1353, offset_loss: 0.5152, cls_loss: 0.2518, mask_loss: 0.1961, iou_score_loss: 0.0093, loss: 1.1078
|
||||
2022-06-02 08:52:13,179 - INFO - Epoch [6/20][20/255] lr: 0.0034, eta: 2:41:36, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1291, offset_loss: 0.6075, cls_loss: 0.3404, mask_loss: 0.1907, iou_score_loss: 0.0115, loss: 1.2792
|
||||
2022-06-02 08:52:37,420 - INFO - Epoch [6/20][30/255] lr: 0.0034, eta: 2:38:37, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1487, offset_loss: 0.6312, cls_loss: 0.3044, mask_loss: 0.1722, iou_score_loss: 0.0110, loss: 1.2675
|
||||
2022-06-02 08:52:58,460 - INFO - Epoch [6/20][40/255] lr: 0.0034, eta: 2:31:49, mem: 18341, data_time: 0.00, iter_time: 0.82, semantic_loss: 0.1325, offset_loss: 0.5444, cls_loss: 0.2918, mask_loss: 0.1990, iou_score_loss: 0.0112, loss: 1.1788
|
||||
2022-06-02 08:53:19,069 - INFO - Epoch [6/20][50/255] lr: 0.0034, eta: 2:27:04, mem: 18341, data_time: 0.63, iter_time: 1.36, semantic_loss: 0.1716, offset_loss: 0.5022, cls_loss: 0.3441, mask_loss: 0.1789, iou_score_loss: 0.0110, loss: 1.2076
|
||||
2022-06-02 08:53:39,787 - INFO - Epoch [6/20][60/255] lr: 0.0034, eta: 2:23:54, mem: 18341, data_time: 0.00, iter_time: 0.65, semantic_loss: 0.1498, offset_loss: 0.4954, cls_loss: 0.2920, mask_loss: 0.1492, iou_score_loss: 0.0095, loss: 1.0959
|
||||
2022-06-02 08:53:53,241 - INFO - Epoch [6/20][70/255] lr: 0.0034, eta: 2:15:02, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1411, offset_loss: 0.4757, cls_loss: 0.2804, mask_loss: 0.1579, iou_score_loss: 0.0087, loss: 1.0637
|
||||
2022-06-02 08:54:16,824 - INFO - Epoch [6/20][80/255] lr: 0.0034, eta: 2:16:15, mem: 18341, data_time: 0.00, iter_time: 0.87, semantic_loss: 0.1828, offset_loss: 0.6916, cls_loss: 0.4279, mask_loss: 0.1771, iou_score_loss: 0.0118, loss: 1.4913
|
||||
2022-06-02 08:54:39,928 - INFO - Epoch [6/20][90/255] lr: 0.0034, eta: 2:16:45, mem: 18341, data_time: 0.00, iter_time: 5.34, semantic_loss: 0.1494, offset_loss: 0.4901, cls_loss: 0.3801, mask_loss: 0.1693, iou_score_loss: 0.0130, loss: 1.2018
|
||||
2022-06-02 08:54:55,560 - INFO - Epoch [6/20][100/255] lr: 0.0034, eta: 2:12:28, mem: 18341, data_time: 0.00, iter_time: 2.91, semantic_loss: 0.1318, offset_loss: 0.6036, cls_loss: 0.3381, mask_loss: 0.1707, iou_score_loss: 0.0086, loss: 1.2528
|
||||
2022-06-02 08:55:13,820 - INFO - Epoch [6/20][110/255] lr: 0.0034, eta: 2:10:22, mem: 18341, data_time: 0.00, iter_time: 6.42, semantic_loss: 0.1267, offset_loss: 0.5320, cls_loss: 0.3514, mask_loss: 0.1524, iou_score_loss: 0.0117, loss: 1.1742
|
||||
2022-06-02 08:55:38,125 - INFO - Epoch [6/20][120/255] lr: 0.0034, eta: 2:11:42, mem: 18341, data_time: 2.20, iter_time: 4.97, semantic_loss: 0.1665, offset_loss: 0.5369, cls_loss: 0.3452, mask_loss: 0.1731, iou_score_loss: 0.0103, loss: 1.2321
|
||||
2022-06-02 08:56:03,862 - INFO - Epoch [6/20][130/255] lr: 0.0034, eta: 2:13:26, mem: 18341, data_time: 0.00, iter_time: 0.69, semantic_loss: 0.1429, offset_loss: 0.4773, cls_loss: 0.2726, mask_loss: 0.1492, iou_score_loss: 0.0092, loss: 1.0511
|
||||
2022-06-02 08:56:28,963 - INFO - Epoch [6/20][140/255] lr: 0.0034, eta: 2:14:34, mem: 18341, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1324, offset_loss: 0.5267, cls_loss: 0.3345, mask_loss: 0.1519, iou_score_loss: 0.0093, loss: 1.1548
|
||||
2022-06-02 08:56:52,882 - INFO - Epoch [6/20][150/255] lr: 0.0034, eta: 2:15:01, mem: 18341, data_time: 0.00, iter_time: 10.75, semantic_loss: 0.1483, offset_loss: 0.4956, cls_loss: 0.2865, mask_loss: 0.1714, iou_score_loss: 0.0101, loss: 1.1119
|
||||
2022-06-02 08:57:15,590 - INFO - Epoch [6/20][160/255] lr: 0.0034, eta: 2:14:55, mem: 18341, data_time: 0.00, iter_time: 0.55, semantic_loss: 0.1459, offset_loss: 0.5211, cls_loss: 0.3500, mask_loss: 0.2108, iou_score_loss: 0.0117, loss: 1.2396
|
||||
2022-06-02 08:57:32,507 - INFO - Epoch [6/20][170/255] lr: 0.0034, eta: 2:12:41, mem: 18341, data_time: 0.00, iter_time: 0.79, semantic_loss: 0.1289, offset_loss: 0.5288, cls_loss: 0.3245, mask_loss: 0.1435, iou_score_loss: 0.0110, loss: 1.1366
|
||||
2022-06-02 08:57:59,736 - INFO - Epoch [6/20][180/255] lr: 0.0034, eta: 2:14:10, mem: 18341, data_time: 9.72, iter_time: 10.35, semantic_loss: 0.1314, offset_loss: 0.4911, cls_loss: 0.3858, mask_loss: 0.1853, iou_score_loss: 0.0116, loss: 1.2050
|
||||
2022-06-02 08:58:19,587 - INFO - Epoch [6/20][190/255] lr: 0.0034, eta: 2:13:05, mem: 18341, data_time: 0.00, iter_time: 0.75, semantic_loss: 0.1319, offset_loss: 0.5387, cls_loss: 0.2882, mask_loss: 0.1639, iou_score_loss: 0.0106, loss: 1.1334
|
||||
2022-06-02 08:58:34,511 - INFO - Epoch [6/20][200/255] lr: 0.0034, eta: 2:10:35, mem: 18341, data_time: 0.00, iter_time: 0.88, semantic_loss: 0.1384, offset_loss: 0.6346, cls_loss: 0.3828, mask_loss: 0.1707, iou_score_loss: 0.0105, loss: 1.3370
|
||||
2022-06-02 08:58:49,504 - INFO - Epoch [6/20][210/255] lr: 0.0034, eta: 2:08:20, mem: 18341, data_time: 0.00, iter_time: 1.26, semantic_loss: 0.1312, offset_loss: 0.5047, cls_loss: 0.2669, mask_loss: 0.1894, iou_score_loss: 0.0110, loss: 1.1032
|
||||
2022-06-02 08:59:16,872 - INFO - Epoch [6/20][220/255] lr: 0.0034, eta: 2:09:38, mem: 18341, data_time: 0.00, iter_time: 4.16, semantic_loss: 0.1415, offset_loss: 0.6096, cls_loss: 0.3141, mask_loss: 0.1712, iou_score_loss: 0.0102, loss: 1.2466
|
||||
2022-06-02 08:59:45,931 - INFO - Epoch [6/20][230/255] lr: 0.0034, eta: 2:11:13, mem: 18341, data_time: 10.49, iter_time: 11.18, semantic_loss: 0.1421, offset_loss: 0.5318, cls_loss: 0.3018, mask_loss: 0.1802, iou_score_loss: 0.0097, loss: 1.1656
|
||||
2022-06-02 09:00:00,271 - INFO - Epoch [6/20][240/255] lr: 0.0034, eta: 2:08:58, mem: 18341, data_time: 0.00, iter_time: 0.66, semantic_loss: 0.1466, offset_loss: 0.4870, cls_loss: 0.3109, mask_loss: 0.1546, iou_score_loss: 0.0092, loss: 1.1082
|
||||
2022-06-02 09:00:31,154 - INFO - Epoch [6/20][250/255] lr: 0.0034, eta: 2:10:50, mem: 18341, data_time: 14.58, iter_time: 15.24, semantic_loss: 0.1177, offset_loss: 0.5158, cls_loss: 0.3287, mask_loss: 0.1600, iou_score_loss: 0.0100, loss: 1.1322
|
||||
2022-06-02 09:00:36,747 - INFO - Validation
|
||||
2022-06-02 09:03:07,538 - INFO - Evaluate instance segmentation
|
||||
2022-06-02 09:03:45,784 - INFO - AP: 0.533. AP_50: 0.666. AP_25: 0.734
|
||||
2022-06-02 09:03:45,785 - INFO - Evaluate semantic segmentation and offset MAE
|
||||
2022-06-02 09:03:57,072 - INFO - Class-wise mIoU: 85.9 97.0 85.1 0.0 36.7 61.9 72.4 88.3 79.4 75.1 69.4 79.6 57.2
|
||||
2022-06-02 09:03:57,073 - INFO - mIoU: 68.3
|
||||
2022-06-02 09:03:59,549 - INFO - Acc: 89.3
|
||||
2022-06-02 09:04:07,917 - INFO - Offset MAE: 1.983
|
||||
2022-06-02 09:04:27,891 - INFO - Epoch [7/20][10/255] lr: 0.0032, eta: 1:57:25, mem: 18341, data_time: 1.38, iter_time: 2.15, semantic_loss: 0.1397, offset_loss: 0.5183, cls_loss: 0.3201, mask_loss: 0.1767, iou_score_loss: 0.0109, loss: 1.1656
|
||||
2022-06-02 09:04:55,232 - INFO - Epoch [7/20][20/255] lr: 0.0032, eta: 2:19:25, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1340, offset_loss: 0.5058, cls_loss: 0.2621, mask_loss: 0.1914, iou_score_loss: 0.0106, loss: 1.1039
|
||||
2022-06-02 09:05:19,397 - INFO - Epoch [7/20][30/255] lr: 0.0032, eta: 2:20:13, mem: 18341, data_time: 0.00, iter_time: 0.96, semantic_loss: 0.1443, offset_loss: 0.5452, cls_loss: 0.2956, mask_loss: 0.1317, iou_score_loss: 0.0111, loss: 1.1279
|
||||
2022-06-02 09:05:36,282 - INFO - Epoch [7/20][40/255] lr: 0.0032, eta: 2:09:42, mem: 18341, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1506, offset_loss: 0.5443, cls_loss: 0.3445, mask_loss: 0.1487, iou_score_loss: 0.0098, loss: 1.1979
|
||||
2022-06-02 09:06:01,473 - INFO - Epoch [7/20][50/255] lr: 0.0032, eta: 2:13:00, mem: 18341, data_time: 8.89, iter_time: 9.50, semantic_loss: 0.1276, offset_loss: 0.5140, cls_loss: 0.4155, mask_loss: 0.1496, iou_score_loss: 0.0089, loss: 1.2155
|
||||
2022-06-02 09:06:26,866 - INFO - Epoch [7/20][60/255] lr: 0.0032, eta: 2:15:17, mem: 18341, data_time: 0.00, iter_time: 0.82, semantic_loss: 0.1417, offset_loss: 0.5420, cls_loss: 0.3357, mask_loss: 0.1769, iou_score_loss: 0.0117, loss: 1.2081
|
||||
2022-06-02 09:06:51,191 - INFO - Epoch [7/20][70/255] lr: 0.0032, eta: 2:15:54, mem: 18341, data_time: 5.35, iter_time: 6.15, semantic_loss: 0.1371, offset_loss: 0.5762, cls_loss: 0.2759, mask_loss: 0.1661, iou_score_loss: 0.0093, loss: 1.1646
|
||||
2022-06-02 09:07:08,902 - INFO - Epoch [7/20][80/255] lr: 0.0032, eta: 2:11:27, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1391, offset_loss: 0.5548, cls_loss: 0.3163, mask_loss: 0.1740, iou_score_loss: 0.0105, loss: 1.1946
|
||||
2022-06-02 09:07:25,080 - INFO - Epoch [7/20][90/255] lr: 0.0032, eta: 2:06:55, mem: 18341, data_time: 1.33, iter_time: 2.32, semantic_loss: 0.1413, offset_loss: 0.5712, cls_loss: 0.3606, mask_loss: 0.1664, iou_score_loss: 0.0105, loss: 1.2499
|
||||
2022-06-02 09:07:43,493 - INFO - Epoch [7/20][100/255] lr: 0.0032, eta: 2:04:33, mem: 18341, data_time: 0.00, iter_time: 1.48, semantic_loss: 0.1188, offset_loss: 0.5584, cls_loss: 0.3162, mask_loss: 0.1581, iou_score_loss: 0.0108, loss: 1.1623
|
||||
2022-06-02 09:08:03,934 - INFO - Epoch [7/20][110/255] lr: 0.0032, eta: 2:03:38, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1670, offset_loss: 0.5397, cls_loss: 0.2994, mask_loss: 0.1688, iou_score_loss: 0.0098, loss: 1.1847
|
||||
2022-06-02 09:08:22,148 - INFO - Epoch [7/20][120/255] lr: 0.0032, eta: 2:01:43, mem: 18341, data_time: 0.00, iter_time: 3.34, semantic_loss: 0.1725, offset_loss: 0.5241, cls_loss: 0.3630, mask_loss: 0.1546, iou_score_loss: 0.0100, loss: 1.2242
|
||||
2022-06-02 09:08:42,756 - INFO - Epoch [7/20][130/255] lr: 0.0032, eta: 2:01:07, mem: 18341, data_time: 0.00, iter_time: 0.89, semantic_loss: 0.1519, offset_loss: 0.6012, cls_loss: 0.3682, mask_loss: 0.2086, iou_score_loss: 0.0115, loss: 1.3413
|
||||
2022-06-02 09:09:02,191 - INFO - Epoch [7/20][140/255] lr: 0.0032, eta: 2:00:05, mem: 18341, data_time: 0.00, iter_time: 3.47, semantic_loss: 0.1476, offset_loss: 0.7480, cls_loss: 0.3617, mask_loss: 0.2415, iou_score_loss: 0.0110, loss: 1.5098
|
||||
2022-06-02 09:09:30,585 - INFO - Epoch [7/20][150/255] lr: 0.0032, eta: 2:02:32, mem: 18341, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1331, offset_loss: 0.5812, cls_loss: 0.3699, mask_loss: 0.1363, iou_score_loss: 0.0107, loss: 1.2312
|
||||
2022-06-02 09:09:48,700 - INFO - Epoch [7/20][160/255] lr: 0.0032, eta: 2:00:58, mem: 18341, data_time: 0.00, iter_time: 3.28, semantic_loss: 0.1495, offset_loss: 0.5321, cls_loss: 0.3252, mask_loss: 0.1922, iou_score_loss: 0.0110, loss: 1.2100
|
||||
2022-06-02 09:10:07,049 - INFO - Epoch [7/20][170/255] lr: 0.0032, eta: 1:59:38, mem: 18341, data_time: 0.00, iter_time: 0.89, semantic_loss: 0.1561, offset_loss: 0.5071, cls_loss: 0.2665, mask_loss: 0.2152, iou_score_loss: 0.0088, loss: 1.1538
|
||||
2022-06-02 09:10:31,890 - INFO - Epoch [7/20][180/255] lr: 0.0032, eta: 2:00:28, mem: 18341, data_time: 1.92, iter_time: 9.29, semantic_loss: 0.1408, offset_loss: 0.5521, cls_loss: 0.2755, mask_loss: 0.1653, iou_score_loss: 0.0097, loss: 1.1434
|
||||
2022-06-02 09:10:55,330 - INFO - Epoch [7/20][190/255] lr: 0.0032, eta: 2:00:44, mem: 18341, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1284, offset_loss: 0.7109, cls_loss: 0.2877, mask_loss: 0.1662, iou_score_loss: 0.0097, loss: 1.3028
|
||||
2022-06-02 09:11:07,839 - INFO - Epoch [7/20][200/255] lr: 0.0032, eta: 1:57:52, mem: 18341, data_time: 0.00, iter_time: 0.75, semantic_loss: 0.1385, offset_loss: 0.5435, cls_loss: 0.3162, mask_loss: 0.1837, iou_score_loss: 0.0092, loss: 1.1911
|
||||
2022-06-02 09:11:27,478 - INFO - Epoch [7/20][210/255] lr: 0.0032, eta: 1:57:09, mem: 18341, data_time: 1.96, iter_time: 2.80, semantic_loss: 0.1392, offset_loss: 0.4730, cls_loss: 0.2692, mask_loss: 0.1606, iou_score_loss: 0.0080, loss: 1.0500
|
||||
2022-06-02 09:12:02,710 - INFO - Epoch [7/20][220/255] lr: 0.0032, eta: 2:00:27, mem: 18341, data_time: 0.00, iter_time: 15.08, semantic_loss: 0.1916, offset_loss: 0.5341, cls_loss: 0.3859, mask_loss: 0.1834, iou_score_loss: 0.0123, loss: 1.3073
|
||||
2022-06-02 09:12:12,332 - INFO - Epoch [7/20][230/255] lr: 0.0032, eta: 1:57:11, mem: 18341, data_time: 0.00, iter_time: 1.70, semantic_loss: 0.1350, offset_loss: 0.4700, cls_loss: 0.2798, mask_loss: 0.1356, iou_score_loss: 0.0078, loss: 1.0282
|
||||
2022-06-02 09:12:37,081 - INFO - Epoch [7/20][240/255] lr: 0.0032, eta: 1:57:42, mem: 18341, data_time: 0.00, iter_time: 0.78, semantic_loss: 0.1456, offset_loss: 0.5239, cls_loss: 0.2831, mask_loss: 0.2203, iou_score_loss: 0.0097, loss: 1.1826
|
||||
2022-06-02 09:12:56,037 - INFO - Epoch [7/20][250/255] lr: 0.0032, eta: 1:56:51, mem: 18341, data_time: 0.00, iter_time: 0.84, semantic_loss: 0.1465, offset_loss: 0.6160, cls_loss: 0.3557, mask_loss: 0.1517, iou_score_loss: 0.0080, loss: 1.2779
|
||||
2022-06-02 09:14:00,302 - INFO - Epoch [8/20][10/255] lr: 0.0029, eta: 4:19:39, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1589, offset_loss: 0.5393, cls_loss: 0.2993, mask_loss: 0.1584, iou_score_loss: 0.0121, loss: 1.1680
|
||||
2022-06-02 09:14:20,491 - INFO - Epoch [8/20][20/255] lr: 0.0029, eta: 3:04:52, mem: 18341, data_time: 0.00, iter_time: 0.69, semantic_loss: 0.1569, offset_loss: 0.5047, cls_loss: 0.2912, mask_loss: 0.1564, iou_score_loss: 0.0091, loss: 1.1181
|
||||
2022-06-02 09:14:40,022 - INFO - Epoch [8/20][30/255] lr: 0.0029, eta: 2:38:31, mem: 18341, data_time: 0.00, iter_time: 0.79, semantic_loss: 0.1462, offset_loss: 0.4992, cls_loss: 0.3124, mask_loss: 0.1556, iou_score_loss: 0.0102, loss: 1.1236
|
||||
2022-06-02 09:14:58,139 - INFO - Epoch [8/20][40/255] lr: 0.0029, eta: 2:23:14, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1435, offset_loss: 0.4716, cls_loss: 0.2964, mask_loss: 0.1745, iou_score_loss: 0.0095, loss: 1.0954
|
||||
2022-06-02 09:15:17,327 - INFO - Epoch [8/20][50/255] lr: 0.0029, eta: 2:15:05, mem: 18341, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1269, offset_loss: 0.4939, cls_loss: 0.2909, mask_loss: 0.1831, iou_score_loss: 0.0101, loss: 1.1049
|
||||
2022-06-02 09:15:45,717 - INFO - Epoch [8/20][60/255] lr: 0.0029, eta: 2:17:56, mem: 18341, data_time: 12.67, iter_time: 13.30, semantic_loss: 0.1289, offset_loss: 0.4901, cls_loss: 0.3563, mask_loss: 0.2009, iou_score_loss: 0.0115, loss: 1.1877
|
||||
2022-06-02 09:16:02,643 - INFO - Epoch [8/20][70/255] lr: 0.0029, eta: 2:10:56, mem: 18341, data_time: 0.00, iter_time: 2.34, semantic_loss: 0.1239, offset_loss: 0.4691, cls_loss: 0.3000, mask_loss: 0.1462, iou_score_loss: 0.0105, loss: 1.0497
|
||||
2022-06-02 09:16:33,567 - INFO - Epoch [8/20][80/255] lr: 0.0029, eta: 2:15:03, mem: 18341, data_time: 0.00, iter_time: 0.75, semantic_loss: 0.1336, offset_loss: 0.4988, cls_loss: 0.2634, mask_loss: 0.1641, iou_score_loss: 0.0090, loss: 1.0690
|
||||
2022-06-02 09:16:47,437 - INFO - Epoch [8/20][90/255] lr: 0.0029, eta: 2:07:58, mem: 18341, data_time: 0.00, iter_time: 0.96, semantic_loss: 0.1507, offset_loss: 0.5187, cls_loss: 0.2561, mask_loss: 0.1607, iou_score_loss: 0.0089, loss: 1.0952
|
||||
2022-06-02 09:17:08,518 - INFO - Epoch [8/20][100/255] lr: 0.0029, eta: 2:06:06, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1554, offset_loss: 0.5611, cls_loss: 0.4102, mask_loss: 0.2078, iou_score_loss: 0.0123, loss: 1.3468
|
||||
2022-06-02 09:17:37,115 - INFO - Epoch [8/20][110/255] lr: 0.0029, eta: 2:08:10, mem: 18341, data_time: 0.00, iter_time: 6.72, semantic_loss: 0.1461, offset_loss: 0.5518, cls_loss: 0.3648, mask_loss: 0.2180, iou_score_loss: 0.0124, loss: 1.2931
|
||||
2022-06-02 09:18:03,123 - INFO - Epoch [8/20][120/255] lr: 0.0029, eta: 2:08:40, mem: 18341, data_time: 0.00, iter_time: 2.33, semantic_loss: 0.1428, offset_loss: 0.5590, cls_loss: 0.3027, mask_loss: 0.1631, iou_score_loss: 0.0108, loss: 1.1784
|
||||
2022-06-02 09:18:22,547 - INFO - Epoch [8/20][130/255] lr: 0.0029, eta: 2:06:19, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1319, offset_loss: 0.5352, cls_loss: 0.3073, mask_loss: 0.1531, iou_score_loss: 0.0117, loss: 1.1393
|
||||
2022-06-02 09:18:42,845 - INFO - Epoch [8/20][140/255] lr: 0.0029, eta: 2:04:36, mem: 18341, data_time: 0.00, iter_time: 0.72, semantic_loss: 0.1450, offset_loss: 0.5253, cls_loss: 0.3061, mask_loss: 0.1567, iou_score_loss: 0.0107, loss: 1.1438
|
||||
2022-06-02 09:19:05,615 - INFO - Epoch [8/20][150/255] lr: 0.0029, eta: 2:03:56, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1365, offset_loss: 0.5226, cls_loss: 0.3124, mask_loss: 0.1369, iou_score_loss: 0.0105, loss: 1.1189
|
||||
2022-06-02 09:19:30,354 - INFO - Epoch [8/20][160/255] lr: 0.0029, eta: 2:03:57, mem: 18341, data_time: 0.00, iter_time: 0.69, semantic_loss: 0.1427, offset_loss: 0.4732, cls_loss: 0.2593, mask_loss: 0.1530, iou_score_loss: 0.0085, loss: 1.0367
|
||||
2022-06-02 09:19:44,573 - INFO - Epoch [8/20][170/255] lr: 0.0029, eta: 2:00:41, mem: 18341, data_time: 0.00, iter_time: 0.88, semantic_loss: 0.1395, offset_loss: 0.4972, cls_loss: 0.2713, mask_loss: 0.1909, iou_score_loss: 0.0110, loss: 1.1099
|
||||
2022-06-02 09:20:08,122 - INFO - Epoch [8/20][180/255] lr: 0.0029, eta: 2:00:27, mem: 18341, data_time: 0.00, iter_time: 3.65, semantic_loss: 0.1555, offset_loss: 0.5587, cls_loss: 0.3409, mask_loss: 0.1976, iou_score_loss: 0.0116, loss: 1.2643
|
||||
2022-06-02 09:20:27,389 - INFO - Epoch [8/20][190/255] lr: 0.0029, eta: 1:59:01, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1468, offset_loss: 0.5153, cls_loss: 0.3311, mask_loss: 0.1633, iou_score_loss: 0.0085, loss: 1.1649
|
||||
2022-06-02 09:20:52,042 - INFO - Epoch [8/20][200/255] lr: 0.0029, eta: 1:59:06, mem: 18341, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1356, offset_loss: 0.5063, cls_loss: 0.3113, mask_loss: 0.1648, iou_score_loss: 0.0110, loss: 1.1290
|
||||
2022-06-02 09:21:06,186 - INFO - Epoch [8/20][210/255] lr: 0.0029, eta: 1:56:33, mem: 18341, data_time: 0.00, iter_time: 2.26, semantic_loss: 0.1391, offset_loss: 0.4975, cls_loss: 0.3666, mask_loss: 0.1876, iou_score_loss: 0.0084, loss: 1.1992
|
||||
2022-06-02 09:21:21,865 - INFO - Epoch [8/20][220/255] lr: 0.0029, eta: 1:54:35, mem: 18341, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1322, offset_loss: 0.5482, cls_loss: 0.3166, mask_loss: 0.1840, iou_score_loss: 0.0100, loss: 1.1909
|
||||
2022-06-02 09:21:50,159 - INFO - Epoch [8/20][230/255] lr: 0.0029, eta: 1:55:34, mem: 18341, data_time: 0.00, iter_time: 2.88, semantic_loss: 0.1262, offset_loss: 0.5612, cls_loss: 0.3059, mask_loss: 0.1730, iou_score_loss: 0.0101, loss: 1.1764
|
||||
2022-06-02 09:22:13,232 - INFO - Epoch [8/20][240/255] lr: 0.0029, eta: 1:55:19, mem: 18341, data_time: 0.00, iter_time: 0.53, semantic_loss: 0.1589, offset_loss: 0.5114, cls_loss: 0.2916, mask_loss: 0.1992, iou_score_loss: 0.0113, loss: 1.1724
|
||||
2022-06-02 09:22:28,055 - INFO - Epoch [8/20][250/255] lr: 0.0029, eta: 1:53:22, mem: 18341, data_time: 0.00, iter_time: 0.69, semantic_loss: 0.1530, offset_loss: 0.6058, cls_loss: 0.3863, mask_loss: 0.1703, iou_score_loss: 0.0111, loss: 1.3266
|
||||
2022-06-02 09:22:38,866 - INFO - Validation
|
||||
2022-06-02 09:25:04,585 - INFO - Evaluate instance segmentation
|
||||
2022-06-02 09:25:41,663 - INFO - AP: 0.531. AP_50: 0.664. AP_25: 0.738
|
||||
2022-06-02 09:25:41,664 - INFO - Evaluate semantic segmentation and offset MAE
|
||||
2022-06-02 09:25:51,331 - INFO - Class-wise mIoU: 85.9 97.0 85.1 0.0 36.7 61.9 72.4 88.3 79.4 75.1 69.4 79.6 57.2
|
||||
2022-06-02 09:25:51,331 - INFO - mIoU: 68.3
|
||||
2022-06-02 09:25:53,823 - INFO - Acc: 89.3
|
||||
2022-06-02 09:26:02,230 - INFO - Offset MAE: 1.983
|
||||
2022-06-02 09:26:27,815 - INFO - Epoch [9/20][10/255] lr: 0.0026, eta: 2:09:07, mem: 18341, data_time: 0.00, iter_time: 0.87, semantic_loss: 0.1653, offset_loss: 0.5934, cls_loss: 0.4058, mask_loss: 0.2189, iou_score_loss: 0.0109, loss: 1.3945
|
||||
2022-06-02 09:26:57,964 - INFO - Epoch [9/20][20/255] lr: 0.0026, eta: 2:20:43, mem: 18341, data_time: 10.60, iter_time: 11.40, semantic_loss: 0.1323, offset_loss: 0.5266, cls_loss: 0.2290, mask_loss: 0.1393, iou_score_loss: 0.0111, loss: 1.0383
|
||||
2022-06-02 09:27:18,718 - INFO - Epoch [9/20][30/255] lr: 0.0026, eta: 2:08:26, mem: 18341, data_time: 1.22, iter_time: 2.02, semantic_loss: 0.1377, offset_loss: 0.5339, cls_loss: 0.3717, mask_loss: 0.1826, iou_score_loss: 0.0124, loss: 1.2383
|
||||
2022-06-02 09:27:33,066 - INFO - Epoch [9/20][40/255] lr: 0.0026, eta: 1:54:04, mem: 18341, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1390, offset_loss: 0.5329, cls_loss: 0.3092, mask_loss: 0.1799, iou_score_loss: 0.0100, loss: 1.1711
|
||||
2022-06-02 09:27:59,677 - INFO - Epoch [9/20][50/255] lr: 0.0026, eta: 1:57:39, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1421, offset_loss: 0.4369, cls_loss: 0.2905, mask_loss: 0.1663, iou_score_loss: 0.0089, loss: 1.0446
|
||||
2022-06-02 09:28:23,092 - INFO - Epoch [9/20][60/255] lr: 0.0026, eta: 1:57:12, mem: 18341, data_time: 0.00, iter_time: 0.89, semantic_loss: 0.1212, offset_loss: 0.5330, cls_loss: 0.3433, mask_loss: 0.1805, iou_score_loss: 0.0101, loss: 1.1882
|
||||
2022-06-02 09:28:39,921 - INFO - Epoch [9/20][70/255] lr: 0.0026, eta: 1:52:07, mem: 18341, data_time: 0.00, iter_time: 0.68, semantic_loss: 0.1386, offset_loss: 0.4462, cls_loss: 0.3099, mask_loss: 0.1760, iou_score_loss: 0.0117, loss: 1.0825
|
||||
2022-06-02 09:28:59,874 - INFO - Epoch [9/20][80/255] lr: 0.0026, eta: 1:50:10, mem: 18341, data_time: 0.00, iter_time: 0.63, semantic_loss: 0.1719, offset_loss: 0.4632, cls_loss: 0.3175, mask_loss: 0.2096, iou_score_loss: 0.0107, loss: 1.1728
|
||||
2022-06-02 09:29:19,997 - INFO - Epoch [9/20][90/255] lr: 0.0026, eta: 1:48:38, mem: 18341, data_time: 0.00, iter_time: 3.68, semantic_loss: 0.1426, offset_loss: 0.5051, cls_loss: 0.2986, mask_loss: 0.1860, iou_score_loss: 0.0122, loss: 1.1444
|
||||
2022-06-02 09:29:39,076 - INFO - Epoch [9/20][100/255] lr: 0.0026, eta: 1:46:53, mem: 18341, data_time: 0.00, iter_time: 0.92, semantic_loss: 0.1453, offset_loss: 0.5151, cls_loss: 0.3364, mask_loss: 0.1601, iou_score_loss: 0.0101, loss: 1.1671
|
||||
2022-06-02 09:30:06,704 - INFO - Epoch [9/20][110/255] lr: 0.0026, eta: 1:49:11, mem: 18341, data_time: 0.00, iter_time: 0.82, semantic_loss: 0.1431, offset_loss: 0.5682, cls_loss: 0.2695, mask_loss: 0.1654, iou_score_loss: 0.0115, loss: 1.1575
|
||||
2022-06-02 09:30:25,951 - INFO - Epoch [9/20][120/255] lr: 0.0026, eta: 1:47:36, mem: 18341, data_time: 0.00, iter_time: 5.69, semantic_loss: 0.1512, offset_loss: 0.5683, cls_loss: 0.4196, mask_loss: 0.1733, iou_score_loss: 0.0099, loss: 1.3223
|
||||
2022-06-02 09:30:40,498 - INFO - Epoch [9/20][130/255] lr: 0.0026, eta: 1:44:26, mem: 18341, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1466, offset_loss: 0.5118, cls_loss: 0.2341, mask_loss: 0.1631, iou_score_loss: 0.0098, loss: 1.0654
|
||||
2022-06-02 09:31:09,660 - INFO - Epoch [9/20][140/255] lr: 0.0026, eta: 1:46:48, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1444, offset_loss: 0.5684, cls_loss: 0.3615, mask_loss: 0.2166, iou_score_loss: 0.0122, loss: 1.3030
|
||||
2022-06-02 09:31:32,736 - INFO - Epoch [9/20][150/255] lr: 0.0026, eta: 1:46:48, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1565, offset_loss: 0.6169, cls_loss: 0.3740, mask_loss: 0.1694, iou_score_loss: 0.0100, loss: 1.3269
|
||||
2022-06-02 09:31:49,407 - INFO - Epoch [9/20][160/255] lr: 0.0026, eta: 1:44:48, mem: 18341, data_time: 0.00, iter_time: 0.63, semantic_loss: 0.1492, offset_loss: 0.4596, cls_loss: 0.3362, mask_loss: 0.1547, iou_score_loss: 0.0098, loss: 1.1094
|
||||
2022-06-02 09:32:16,371 - INFO - Epoch [9/20][170/255] lr: 0.0026, eta: 1:45:57, mem: 18341, data_time: 0.61, iter_time: 13.95, semantic_loss: 0.1496, offset_loss: 0.5818, cls_loss: 0.3746, mask_loss: 0.2237, iou_score_loss: 0.0134, loss: 1.3430
|
||||
2022-06-02 09:32:37,497 - INFO - Epoch [9/20][180/255] lr: 0.0026, eta: 1:45:21, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1435, offset_loss: 0.5636, cls_loss: 0.3267, mask_loss: 0.1742, iou_score_loss: 0.0110, loss: 1.2190
|
||||
2022-06-02 09:32:59,953 - INFO - Epoch [9/20][190/255] lr: 0.0026, eta: 1:45:06, mem: 18341, data_time: 0.00, iter_time: 5.33, semantic_loss: 0.1270, offset_loss: 0.4830, cls_loss: 0.2507, mask_loss: 0.1917, iou_score_loss: 0.0114, loss: 1.0639
|
||||
2022-06-02 09:33:17,938 - INFO - Epoch [9/20][200/255] lr: 0.0026, eta: 1:43:47, mem: 18341, data_time: 0.00, iter_time: 0.68, semantic_loss: 0.1251, offset_loss: 0.4856, cls_loss: 0.2264, mask_loss: 0.1339, iou_score_loss: 0.0085, loss: 0.9795
|
||||
2022-06-02 09:33:36,184 - INFO - Epoch [9/20][210/255] lr: 0.0026, eta: 1:42:38, mem: 18341, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1584, offset_loss: 0.6140, cls_loss: 0.3500, mask_loss: 0.1757, iou_score_loss: 0.0098, loss: 1.3080
|
||||
2022-06-02 09:33:57,450 - INFO - Epoch [9/20][220/255] lr: 0.0026, eta: 1:42:12, mem: 18341, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1333, offset_loss: 0.4702, cls_loss: 0.2560, mask_loss: 0.1556, iou_score_loss: 0.0098, loss: 1.0249
|
||||
2022-06-02 09:34:19,625 - INFO - Epoch [9/20][230/255] lr: 0.0026, eta: 1:41:57, mem: 18341, data_time: 2.70, iter_time: 3.54, semantic_loss: 0.1453, offset_loss: 0.5696, cls_loss: 0.2560, mask_loss: 0.2084, iou_score_loss: 0.0090, loss: 1.1881
|
||||
2022-06-02 09:34:47,557 - INFO - Epoch [9/20][240/255] lr: 0.0026, eta: 1:42:50, mem: 18341, data_time: 0.00, iter_time: 0.83, semantic_loss: 0.1459, offset_loss: 0.6454, cls_loss: 0.2635, mask_loss: 0.1693, iou_score_loss: 0.0106, loss: 1.2347
|
||||
2022-06-02 09:35:11,875 - INFO - Epoch [9/20][250/255] lr: 0.0026, eta: 1:42:55, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1559, offset_loss: 0.5605, cls_loss: 0.3391, mask_loss: 0.1864, iou_score_loss: 0.0109, loss: 1.2528
|
||||
2022-06-02 09:35:52,056 - INFO - Epoch [10/20][10/255] lr: 0.0023, eta: 2:16:09, mem: 18341, data_time: 0.00, iter_time: 1.56, semantic_loss: 0.1572, offset_loss: 0.4991, cls_loss: 0.2799, mask_loss: 0.1788, iou_score_loss: 0.0089, loss: 1.1239
|
||||
2022-06-02 09:36:08,047 - INFO - Epoch [10/20][20/255] lr: 0.0023, eta: 1:44:59, mem: 18341, data_time: 0.00, iter_time: 0.85, semantic_loss: 0.1382, offset_loss: 0.6005, cls_loss: 0.2677, mask_loss: 0.1630, iou_score_loss: 0.0095, loss: 1.1790
|
||||
2022-06-02 09:36:27,371 - INFO - Epoch [10/20][30/255] lr: 0.0023, eta: 1:39:32, mem: 18341, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1518, offset_loss: 0.4991, cls_loss: 0.2861, mask_loss: 0.1287, iou_score_loss: 0.0100, loss: 1.0757
|
||||
2022-06-02 09:36:52,203 - INFO - Epoch [10/20][40/255] lr: 0.0023, eta: 1:42:58, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1227, offset_loss: 0.4644, cls_loss: 0.2335, mask_loss: 0.1264, iou_score_loss: 0.0072, loss: 0.9541
|
||||
2022-06-02 09:37:08,615 - INFO - Epoch [10/20][50/255] lr: 0.0023, eta: 1:37:09, mem: 18341, data_time: 0.00, iter_time: 0.84, semantic_loss: 0.1298, offset_loss: 0.6242, cls_loss: 0.2236, mask_loss: 0.1532, iou_score_loss: 0.0102, loss: 1.1410
|
||||
2022-06-02 09:37:41,437 - INFO - Epoch [10/20][60/255] lr: 0.0023, eta: 1:45:41, mem: 18341, data_time: 0.00, iter_time: 6.42, semantic_loss: 0.1318, offset_loss: 0.4875, cls_loss: 0.2775, mask_loss: 0.1577, iou_score_loss: 0.0092, loss: 1.0637
|
||||
2022-06-02 09:37:55,173 - INFO - Epoch [10/20][70/255] lr: 0.0023, eta: 1:39:13, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1645, offset_loss: 0.4740, cls_loss: 0.2908, mask_loss: 0.1933, iou_score_loss: 0.0100, loss: 1.1327
|
||||
2022-06-02 09:38:21,781 - INFO - Epoch [10/20][80/255] lr: 0.0023, eta: 1:41:35, mem: 18341, data_time: 0.00, iter_time: 1.06, semantic_loss: 0.1499, offset_loss: 0.5465, cls_loss: 0.3194, mask_loss: 0.1886, iou_score_loss: 0.0100, loss: 1.2143
|
||||
2022-06-02 09:38:43,563 - INFO - Epoch [10/20][90/255] lr: 0.0023, eta: 1:40:55, mem: 18341, data_time: 3.39, iter_time: 4.18, semantic_loss: 0.1279, offset_loss: 0.4999, cls_loss: 0.3007, mask_loss: 0.1473, iou_score_loss: 0.0103, loss: 1.0862
|
||||
2022-06-02 09:39:08,196 - INFO - Epoch [10/20][100/255] lr: 0.0023, eta: 1:41:36, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1275, offset_loss: 0.7790, cls_loss: 0.3574, mask_loss: 0.1759, iou_score_loss: 0.0088, loss: 1.4486
|
||||
2022-06-02 09:39:31,755 - INFO - Epoch [10/20][110/255] lr: 0.0023, eta: 1:41:38, mem: 18341, data_time: 4.16, iter_time: 5.02, semantic_loss: 0.1610, offset_loss: 0.5766, cls_loss: 0.3876, mask_loss: 0.1831, iou_score_loss: 0.0107, loss: 1.3190
|
||||
2022-06-02 09:39:55,913 - INFO - Epoch [10/20][120/255] lr: 0.0023, eta: 1:41:50, mem: 18341, data_time: 0.00, iter_time: 0.75, semantic_loss: 0.1215, offset_loss: 0.5041, cls_loss: 0.2546, mask_loss: 0.1473, iou_score_loss: 0.0085, loss: 1.0360
|
||||
2022-06-02 09:40:14,354 - INFO - Epoch [10/20][130/255] lr: 0.0023, eta: 1:39:59, mem: 18341, data_time: 0.00, iter_time: 3.19, semantic_loss: 0.1521, offset_loss: 0.5751, cls_loss: 0.3264, mask_loss: 0.1629, iou_score_loss: 0.0103, loss: 1.2268
|
||||
2022-06-02 09:40:29,970 - INFO - Epoch [10/20][140/255] lr: 0.0023, eta: 1:37:26, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1550, offset_loss: 0.5059, cls_loss: 0.2796, mask_loss: 0.1636, iou_score_loss: 0.0111, loss: 1.1152
|
||||
2022-06-02 09:40:55,912 - INFO - Epoch [10/20][150/255] lr: 0.0023, eta: 1:38:16, mem: 18341, data_time: 0.00, iter_time: 12.43, semantic_loss: 0.1400, offset_loss: 0.4860, cls_loss: 0.3293, mask_loss: 0.1623, iou_score_loss: 0.0101, loss: 1.1277
|
||||
2022-06-02 09:41:09,353 - INFO - Epoch [10/20][160/255] lr: 0.0023, eta: 1:35:28, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1473, offset_loss: 0.5544, cls_loss: 0.3665, mask_loss: 0.1735, iou_score_loss: 0.0107, loss: 1.2524
|
||||
2022-06-02 09:41:39,827 - INFO - Epoch [10/20][170/255] lr: 0.0023, eta: 1:37:23, mem: 18341, data_time: 0.00, iter_time: 0.68, semantic_loss: 0.1137, offset_loss: 0.4857, cls_loss: 0.3019, mask_loss: 0.1254, iou_score_loss: 0.0107, loss: 1.0374
|
||||
2022-06-02 09:41:59,928 - INFO - Epoch [10/20][180/255] lr: 0.0023, eta: 1:36:31, mem: 18341, data_time: 0.00, iter_time: 2.67, semantic_loss: 0.1111, offset_loss: 0.5514, cls_loss: 0.3005, mask_loss: 0.1544, iou_score_loss: 0.0100, loss: 1.1275
|
||||
2022-06-02 09:42:17,742 - INFO - Epoch [10/20][190/255] lr: 0.0023, eta: 1:35:10, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1451, offset_loss: 0.5069, cls_loss: 0.3236, mask_loss: 0.1474, iou_score_loss: 0.0107, loss: 1.1337
|
||||
2022-06-02 09:42:44,460 - INFO - Epoch [10/20][200/255] lr: 0.0023, eta: 1:35:52, mem: 18341, data_time: 0.00, iter_time: 10.41, semantic_loss: 0.1550, offset_loss: 0.6061, cls_loss: 0.2982, mask_loss: 0.1503, iou_score_loss: 0.0097, loss: 1.2193
|
||||
2022-06-02 09:42:59,547 - INFO - Epoch [10/20][210/255] lr: 0.0023, eta: 1:34:03, mem: 18341, data_time: 0.00, iter_time: 0.84, semantic_loss: 0.1325, offset_loss: 0.5446, cls_loss: 0.2934, mask_loss: 0.1751, iou_score_loss: 0.0109, loss: 1.1565
|
||||
2022-06-02 09:43:30,632 - INFO - Epoch [10/20][220/255] lr: 0.0023, eta: 1:35:31, mem: 18341, data_time: 0.00, iter_time: 0.65, semantic_loss: 0.1566, offset_loss: 0.5159, cls_loss: 0.2782, mask_loss: 0.1901, iou_score_loss: 0.0087, loss: 1.1494
|
||||
2022-06-02 09:43:56,649 - INFO - Epoch [10/20][230/255] lr: 0.0023, eta: 1:35:52, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1452, offset_loss: 0.5928, cls_loss: 0.2814, mask_loss: 0.2006, iou_score_loss: 0.0115, loss: 1.2315
|
||||
2022-06-02 09:44:21,359 - INFO - Epoch [10/20][240/255] lr: 0.0023, eta: 1:35:55, mem: 18341, data_time: 0.00, iter_time: 0.82, semantic_loss: 0.1496, offset_loss: 0.4978, cls_loss: 0.3849, mask_loss: 0.1812, iou_score_loss: 0.0092, loss: 1.2227
|
||||
2022-06-02 09:44:43,991 - INFO - Epoch [10/20][250/255] lr: 0.0023, eta: 1:35:35, mem: 18341, data_time: 0.00, iter_time: 0.72, semantic_loss: 0.1521, offset_loss: 0.5268, cls_loss: 0.3103, mask_loss: 0.1925, iou_score_loss: 0.0086, loss: 1.1902
|
||||
2022-06-02 09:44:52,332 - INFO - Validation
|
||||
2022-06-02 09:47:18,429 - INFO - Evaluate instance segmentation
|
||||
2022-06-02 09:47:55,369 - INFO - AP: 0.527. AP_50: 0.661. AP_25: 0.732
|
||||
2022-06-02 09:47:55,370 - INFO - Evaluate semantic segmentation and offset MAE
|
||||
2022-06-02 09:48:05,951 - INFO - Class-wise mIoU: 85.9 97.0 85.1 0.0 36.7 61.9 72.4 88.3 79.4 75.1 69.4 79.6 57.2
|
||||
2022-06-02 09:48:05,951 - INFO - mIoU: 68.3
|
||||
2022-06-02 09:48:08,389 - INFO - Acc: 89.3
|
||||
2022-06-02 09:48:16,758 - INFO - Offset MAE: 1.983
|
||||
2022-06-02 09:48:45,707 - INFO - Epoch [11/20][10/255] lr: 0.002, eta: 2:01:45, mem: 18341, data_time: 4.31, iter_time: 5.12, semantic_loss: 0.1359, offset_loss: 0.5483, cls_loss: 0.3453, mask_loss: 0.1535, iou_score_loss: 0.0082, loss: 1.1912
|
||||
2022-06-02 09:49:09,165 - INFO - Epoch [11/20][20/255] lr: 0.002, eta: 1:50:06, mem: 18341, data_time: 0.00, iter_time: 0.67, semantic_loss: 0.1479, offset_loss: 0.6562, cls_loss: 0.3469, mask_loss: 0.1968, iou_score_loss: 0.0111, loss: 1.3589
|
||||
2022-06-02 09:49:26,396 - INFO - Epoch [11/20][30/255] lr: 0.002, eta: 1:37:14, mem: 18341, data_time: 0.18, iter_time: 1.09, semantic_loss: 0.1675, offset_loss: 0.5487, cls_loss: 0.2902, mask_loss: 0.1838, iou_score_loss: 0.0107, loss: 1.2008
|
||||
2022-06-02 09:49:50,624 - INFO - Epoch [11/20][40/255] lr: 0.002, eta: 1:37:58, mem: 18341, data_time: 0.00, iter_time: 0.79, semantic_loss: 0.1356, offset_loss: 0.5803, cls_loss: 0.2751, mask_loss: 0.1726, iou_score_loss: 0.0094, loss: 1.1730
|
||||
2022-06-02 09:50:10,958 - INFO - Epoch [11/20][50/255] lr: 0.002, eta: 1:35:01, mem: 18341, data_time: 0.00, iter_time: 0.89, semantic_loss: 0.1616, offset_loss: 0.5135, cls_loss: 0.3601, mask_loss: 0.1835, iou_score_loss: 0.0103, loss: 1.2289
|
||||
2022-06-02 09:50:38,926 - INFO - Epoch [11/20][60/255] lr: 0.002, eta: 1:38:12, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1556, offset_loss: 0.5373, cls_loss: 0.2619, mask_loss: 0.1742, iou_score_loss: 0.0077, loss: 1.1367
|
||||
2022-06-02 09:51:02,596 - INFO - Epoch [11/20][70/255] lr: 0.002, eta: 1:37:48, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1414, offset_loss: 0.4926, cls_loss: 0.2602, mask_loss: 0.1716, iou_score_loss: 0.0094, loss: 1.0753
|
||||
2022-06-02 09:51:25,481 - INFO - Epoch [11/20][80/255] lr: 0.002, eta: 1:37:01, mem: 18341, data_time: 0.00, iter_time: 0.82, semantic_loss: 0.1649, offset_loss: 0.4693, cls_loss: 0.2556, mask_loss: 0.1723, iou_score_loss: 0.0087, loss: 1.0708
|
||||
2022-06-02 09:51:50,945 - INFO - Epoch [11/20][90/255] lr: 0.002, eta: 1:37:29, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1777, offset_loss: 0.5595, cls_loss: 0.2450, mask_loss: 0.1615, iou_score_loss: 0.0078, loss: 1.1515
|
||||
2022-06-02 09:52:11,152 - INFO - Epoch [11/20][100/255] lr: 0.002, eta: 1:35:38, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1258, offset_loss: 0.6166, cls_loss: 0.2690, mask_loss: 0.1953, iou_score_loss: 0.0102, loss: 1.2169
|
||||
2022-06-02 09:52:32,166 - INFO - Epoch [11/20][110/255] lr: 0.002, eta: 1:34:21, mem: 18341, data_time: 0.00, iter_time: 3.68, semantic_loss: 0.1509, offset_loss: 0.5100, cls_loss: 0.3064, mask_loss: 0.1634, iou_score_loss: 0.0086, loss: 1.1394
|
||||
2022-06-02 09:52:48,217 - INFO - Epoch [11/20][120/255] lr: 0.002, eta: 1:31:33, mem: 18341, data_time: 0.00, iter_time: 0.62, semantic_loss: 0.1319, offset_loss: 0.5471, cls_loss: 0.3308, mask_loss: 0.1484, iou_score_loss: 0.0094, loss: 1.1677
|
||||
2022-06-02 09:53:08,400 - INFO - Epoch [11/20][130/255] lr: 0.002, eta: 1:30:25, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1512, offset_loss: 0.4920, cls_loss: 0.2802, mask_loss: 0.1719, iou_score_loss: 0.0091, loss: 1.1045
|
||||
2022-06-02 09:53:31,609 - INFO - Epoch [11/20][140/255] lr: 0.002, eta: 1:30:16, mem: 18341, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1415, offset_loss: 0.5400, cls_loss: 0.3809, mask_loss: 0.1960, iou_score_loss: 0.0112, loss: 1.2697
|
||||
2022-06-02 09:53:51,472 - INFO - Epoch [11/20][150/255] lr: 0.002, eta: 1:29:12, mem: 18341, data_time: 0.00, iter_time: 0.96, semantic_loss: 0.1453, offset_loss: 0.6063, cls_loss: 0.2975, mask_loss: 0.1386, iou_score_loss: 0.0093, loss: 1.1970
|
||||
2022-06-02 09:54:10,796 - INFO - Epoch [11/20][160/255] lr: 0.002, eta: 1:28:05, mem: 18341, data_time: 0.41, iter_time: 1.19, semantic_loss: 0.1636, offset_loss: 0.5892, cls_loss: 0.3648, mask_loss: 0.1692, iou_score_loss: 0.0098, loss: 1.2966
|
||||
2022-06-02 09:54:30,882 - INFO - Epoch [11/20][170/255] lr: 0.002, eta: 1:27:15, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1278, offset_loss: 0.5032, cls_loss: 0.2548, mask_loss: 0.1358, iou_score_loss: 0.0088, loss: 1.0305
|
||||
2022-06-02 09:54:49,151 - INFO - Epoch [11/20][180/255] lr: 0.002, eta: 1:26:04, mem: 18341, data_time: 0.00, iter_time: 0.83, semantic_loss: 0.1469, offset_loss: 0.5096, cls_loss: 0.3104, mask_loss: 0.1849, iou_score_loss: 0.0101, loss: 1.1618
|
||||
2022-06-02 09:55:19,467 - INFO - Epoch [11/20][190/255] lr: 0.002, eta: 1:27:28, mem: 18341, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1419, offset_loss: 0.4925, cls_loss: 0.2835, mask_loss: 0.1458, iou_score_loss: 0.0083, loss: 1.0720
|
||||
2022-06-02 09:55:36,582 - INFO - Epoch [11/20][200/255] lr: 0.002, eta: 1:26:05, mem: 18341, data_time: 0.00, iter_time: 0.79, semantic_loss: 0.1286, offset_loss: 0.5454, cls_loss: 0.2593, mask_loss: 0.1414, iou_score_loss: 0.0106, loss: 1.0853
|
||||
2022-06-02 09:55:59,472 - INFO - Epoch [11/20][210/255] lr: 0.002, eta: 1:25:53, mem: 18341, data_time: 0.00, iter_time: 5.39, semantic_loss: 0.1876, offset_loss: 0.5105, cls_loss: 0.2579, mask_loss: 0.1527, iou_score_loss: 0.0089, loss: 1.1176
|
||||
2022-06-02 09:56:25,794 - INFO - Epoch [11/20][220/255] lr: 0.002, eta: 1:26:17, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1616, offset_loss: 0.5095, cls_loss: 0.2928, mask_loss: 0.1798, iou_score_loss: 0.0089, loss: 1.1525
|
||||
2022-06-02 09:56:51,885 - INFO - Epoch [11/20][230/255] lr: 0.002, eta: 1:26:34, mem: 18341, data_time: 0.00, iter_time: 4.40, semantic_loss: 0.1432, offset_loss: 0.5655, cls_loss: 0.2501, mask_loss: 0.1471, iou_score_loss: 0.0098, loss: 1.1158
|
||||
2022-06-02 09:57:09,371 - INFO - Epoch [11/20][240/255] lr: 0.002, eta: 1:25:24, mem: 18341, data_time: 0.00, iter_time: 0.78, semantic_loss: 0.1179, offset_loss: 0.4673, cls_loss: 0.1988, mask_loss: 0.1692, iou_score_loss: 0.0092, loss: 0.9623
|
||||
2022-06-02 09:57:27,037 - INFO - Epoch [11/20][250/255] lr: 0.002, eta: 1:24:20, mem: 18341, data_time: 2.05, iter_time: 2.91, semantic_loss: 0.1278, offset_loss: 0.5402, cls_loss: 0.2512, mask_loss: 0.1830, iou_score_loss: 0.0084, loss: 1.1105
|
||||
2022-06-02 09:58:14,449 - INFO - Epoch [12/20][10/255] lr: 0.0017, eta: 1:54:56, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1321, offset_loss: 0.5064, cls_loss: 0.2653, mask_loss: 0.1619, iou_score_loss: 0.0085, loss: 1.0742
|
||||
2022-06-02 09:58:31,409 - INFO - Epoch [12/20][20/255] lr: 0.0017, eta: 1:29:22, mem: 18341, data_time: 0.00, iter_time: 1.18, semantic_loss: 0.1481, offset_loss: 0.5768, cls_loss: 0.3271, mask_loss: 0.1642, iou_score_loss: 0.0082, loss: 1.2243
|
||||
2022-06-02 09:58:52,342 - INFO - Epoch [12/20][30/255] lr: 0.0017, eta: 1:25:40, mem: 18341, data_time: 0.00, iter_time: 0.90, semantic_loss: 0.1296, offset_loss: 0.5894, cls_loss: 0.2868, mask_loss: 0.1365, iou_score_loss: 0.0083, loss: 1.1506
|
||||
2022-06-02 09:59:06,679 - INFO - Epoch [12/20][40/255] lr: 0.0017, eta: 1:17:25, mem: 18341, data_time: 0.00, iter_time: 0.82, semantic_loss: 0.1557, offset_loss: 0.4773, cls_loss: 0.2461, mask_loss: 0.1443, iou_score_loss: 0.0070, loss: 1.0304
|
||||
2022-06-02 09:59:30,171 - INFO - Epoch [12/20][50/255] lr: 0.0017, eta: 1:19:15, mem: 18341, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1638, offset_loss: 0.5204, cls_loss: 0.2853, mask_loss: 0.2013, iou_score_loss: 0.0104, loss: 1.1814
|
||||
2022-06-02 09:59:51,135 - INFO - Epoch [12/20][60/255] lr: 0.0017, eta: 1:18:45, mem: 18341, data_time: 0.00, iter_time: 0.96, semantic_loss: 0.1370, offset_loss: 0.4922, cls_loss: 0.2563, mask_loss: 0.1575, iou_score_loss: 0.0085, loss: 1.0515
|
||||
2022-06-02 10:00:12,851 - INFO - Epoch [12/20][70/255] lr: 0.0017, eta: 1:18:43, mem: 18341, data_time: 0.00, iter_time: 1.35, semantic_loss: 0.1371, offset_loss: 0.4927, cls_loss: 0.3176, mask_loss: 0.1542, iou_score_loss: 0.0081, loss: 1.1097
|
||||
2022-06-02 10:00:28,516 - INFO - Epoch [12/20][80/255] lr: 0.0017, eta: 1:15:47, mem: 18341, data_time: 0.00, iter_time: 0.83, semantic_loss: 0.1465, offset_loss: 0.5052, cls_loss: 0.2945, mask_loss: 0.1777, iou_score_loss: 0.0079, loss: 1.1318
|
||||
2022-06-02 10:00:52,896 - INFO - Epoch [12/20][90/255] lr: 0.0017, eta: 1:17:01, mem: 18341, data_time: 0.00, iter_time: 0.75, semantic_loss: 0.1505, offset_loss: 0.4721, cls_loss: 0.2585, mask_loss: 0.1767, iou_score_loss: 0.0077, loss: 1.0655
|
||||
2022-06-02 10:01:11,266 - INFO - Epoch [12/20][100/255] lr: 0.0017, eta: 1:15:43, mem: 18341, data_time: 3.95, iter_time: 4.66, semantic_loss: 0.1347, offset_loss: 0.5250, cls_loss: 0.3045, mask_loss: 0.1700, iou_score_loss: 0.0091, loss: 1.1433
|
||||
2022-06-02 10:01:38,864 - INFO - Epoch [12/20][110/255] lr: 0.0017, eta: 1:17:39, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1344, offset_loss: 0.5682, cls_loss: 0.2901, mask_loss: 0.1371, iou_score_loss: 0.0094, loss: 1.1392
|
||||
2022-06-02 10:02:04,271 - INFO - Epoch [12/20][120/255] lr: 0.0017, eta: 1:18:32, mem: 18341, data_time: 0.00, iter_time: 0.67, semantic_loss: 0.1359, offset_loss: 0.5071, cls_loss: 0.2839, mask_loss: 0.1681, iou_score_loss: 0.0101, loss: 1.1051
|
||||
2022-06-02 10:02:29,355 - INFO - Epoch [12/20][130/255] lr: 0.0017, eta: 1:19:07, mem: 18341, data_time: 0.00, iter_time: 1.86, semantic_loss: 0.1520, offset_loss: 0.5513, cls_loss: 0.2875, mask_loss: 0.1875, iou_score_loss: 0.0109, loss: 1.1892
|
||||
2022-06-02 10:02:54,544 - INFO - Epoch [12/20][140/255] lr: 0.0017, eta: 1:19:36, mem: 18341, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1362, offset_loss: 0.5262, cls_loss: 0.2336, mask_loss: 0.1391, iou_score_loss: 0.0087, loss: 1.0439
|
||||
2022-06-02 10:03:13,240 - INFO - Epoch [12/20][150/255] lr: 0.0017, eta: 1:18:24, mem: 18341, data_time: 0.00, iter_time: 1.77, semantic_loss: 0.1453, offset_loss: 0.5853, cls_loss: 0.2895, mask_loss: 0.1646, iou_score_loss: 0.0098, loss: 1.1945
|
||||
2022-06-02 10:03:33,052 - INFO - Epoch [12/20][160/255] lr: 0.0017, eta: 1:17:34, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1264, offset_loss: 0.5189, cls_loss: 0.3082, mask_loss: 0.1747, iou_score_loss: 0.0103, loss: 1.1385
|
||||
2022-06-02 10:03:52,383 - INFO - Epoch [12/20][170/255] lr: 0.0017, eta: 1:16:41, mem: 18341, data_time: 0.00, iter_time: 8.36, semantic_loss: 0.1493, offset_loss: 0.5246, cls_loss: 0.2811, mask_loss: 0.1419, iou_score_loss: 0.0081, loss: 1.1050
|
||||
2022-06-02 10:04:16,459 - INFO - Epoch [12/20][180/255] lr: 0.0017, eta: 1:16:48, mem: 18341, data_time: 0.00, iter_time: 0.69, semantic_loss: 0.1221, offset_loss: 0.6497, cls_loss: 0.2676, mask_loss: 0.1338, iou_score_loss: 0.0092, loss: 1.1824
|
||||
2022-06-02 10:04:34,899 - INFO - Epoch [12/20][190/255] lr: 0.0017, eta: 1:15:49, mem: 18341, data_time: 0.00, iter_time: 2.08, semantic_loss: 0.1552, offset_loss: 0.5220, cls_loss: 0.3212, mask_loss: 0.1904, iou_score_loss: 0.0091, loss: 1.1980
|
||||
2022-06-02 10:04:54,634 - INFO - Epoch [12/20][200/255] lr: 0.0017, eta: 1:15:08, mem: 18341, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1557, offset_loss: 0.5502, cls_loss: 0.3142, mask_loss: 0.1564, iou_score_loss: 0.0083, loss: 1.1847
|
||||
2022-06-02 10:05:10,786 - INFO - Epoch [12/20][210/255] lr: 0.0017, eta: 1:13:53, mem: 18341, data_time: 0.00, iter_time: 0.90, semantic_loss: 0.1491, offset_loss: 0.4803, cls_loss: 0.2610, mask_loss: 0.1906, iou_score_loss: 0.0088, loss: 1.0899
|
||||
2022-06-02 10:05:28,887 - INFO - Epoch [12/20][220/255] lr: 0.0017, eta: 1:13:02, mem: 18341, data_time: 0.00, iter_time: 3.99, semantic_loss: 0.1864, offset_loss: 0.5536, cls_loss: 0.3899, mask_loss: 0.1819, iou_score_loss: 0.0090, loss: 1.3208
|
||||
2022-06-02 10:05:50,379 - INFO - Epoch [12/20][230/255] lr: 0.0017, eta: 1:12:44, mem: 18341, data_time: 0.00, iter_time: 0.89, semantic_loss: 0.1216, offset_loss: 0.6225, cls_loss: 0.3043, mask_loss: 0.1422, iou_score_loss: 0.0096, loss: 1.2002
|
||||
2022-06-02 10:06:11,221 - INFO - Epoch [12/20][240/255] lr: 0.0017, eta: 1:12:20, mem: 18341, data_time: 0.00, iter_time: 0.66, semantic_loss: 0.1605, offset_loss: 0.5256, cls_loss: 0.2649, mask_loss: 0.1375, iou_score_loss: 0.0095, loss: 1.0980
|
||||
2022-06-02 10:06:28,381 - INFO - Epoch [12/20][250/255] lr: 0.0017, eta: 1:11:27, mem: 18341, data_time: 3.49, iter_time: 4.06, semantic_loss: 0.1489, offset_loss: 0.4816, cls_loss: 0.2951, mask_loss: 0.1639, iou_score_loss: 0.0084, loss: 1.0979
|
||||
2022-06-02 10:06:40,412 - INFO - Validation
|
||||
2022-06-02 10:09:06,912 - INFO - Evaluate instance segmentation
|
||||
2022-06-02 10:09:47,562 - INFO - AP: 0.527. AP_50: 0.659. AP_25: 0.735
|
||||
2022-06-02 10:09:47,562 - INFO - Evaluate semantic segmentation and offset MAE
|
||||
2022-06-02 10:09:59,088 - INFO - Class-wise mIoU: 85.9 97.0 85.1 0.0 36.7 61.9 72.4 88.3 79.4 75.1 69.4 79.6 57.2
|
||||
2022-06-02 10:09:59,088 - INFO - mIoU: 68.3
|
||||
2022-06-02 10:10:01,572 - INFO - Acc: 89.3
|
||||
2022-06-02 10:10:10,043 - INFO - Offset MAE: 1.983
|
||||
2022-06-02 10:10:36,482 - INFO - Epoch [13/20][10/255] lr: 0.0014, eta: 1:28:50, mem: 18341, data_time: 0.00, iter_time: 5.97, semantic_loss: 0.1602, offset_loss: 0.5430, cls_loss: 0.2916, mask_loss: 0.1809, iou_score_loss: 0.0095, loss: 1.1852
|
||||
2022-06-02 10:10:59,302 - INFO - Epoch [13/20][20/255] lr: 0.0014, eta: 1:22:35, mem: 18341, data_time: 5.05, iter_time: 5.84, semantic_loss: 0.1489, offset_loss: 0.5011, cls_loss: 0.2780, mask_loss: 0.1748, iou_score_loss: 0.0076, loss: 1.1103
|
||||
2022-06-02 10:11:16,097 - INFO - Epoch [13/20][30/255] lr: 0.0014, eta: 1:13:33, mem: 18341, data_time: 0.00, iter_time: 0.62, semantic_loss: 0.1617, offset_loss: 0.5649, cls_loss: 0.3108, mask_loss: 0.1704, iou_score_loss: 0.0098, loss: 1.2177
|
||||
2022-06-02 10:11:47,646 - INFO - Epoch [13/20][40/255] lr: 0.0014, eta: 1:21:10, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1245, offset_loss: 0.5293, cls_loss: 0.2632, mask_loss: 0.1272, iou_score_loss: 0.0084, loss: 1.0526
|
||||
2022-06-02 10:12:09,920 - INFO - Epoch [13/20][50/255] lr: 0.0014, eta: 1:19:23, mem: 18341, data_time: 0.00, iter_time: 0.64, semantic_loss: 0.1314, offset_loss: 0.5828, cls_loss: 0.2359, mask_loss: 0.1459, iou_score_loss: 0.0074, loss: 1.1035
|
||||
2022-06-02 10:12:33,571 - INFO - Epoch [13/20][60/255] lr: 0.0014, eta: 1:18:50, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1477, offset_loss: 0.5499, cls_loss: 0.3280, mask_loss: 0.1677, iou_score_loss: 0.0092, loss: 1.2024
|
||||
2022-06-02 10:13:02,337 - INFO - Epoch [13/20][70/255] lr: 0.0014, eta: 1:20:43, mem: 18341, data_time: 0.00, iter_time: 0.87, semantic_loss: 0.1699, offset_loss: 0.4999, cls_loss: 0.3616, mask_loss: 0.1736, iou_score_loss: 0.0092, loss: 1.2141
|
||||
2022-06-02 10:13:24,475 - INFO - Epoch [13/20][80/255] lr: 0.0014, eta: 1:19:19, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1270, offset_loss: 0.5216, cls_loss: 0.2742, mask_loss: 0.1519, iou_score_loss: 0.0095, loss: 1.0842
|
||||
2022-06-02 10:13:40,888 - INFO - Epoch [13/20][90/255] lr: 0.0014, eta: 1:16:03, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1462, offset_loss: 0.4985, cls_loss: 0.2809, mask_loss: 0.1364, iou_score_loss: 0.0080, loss: 1.0700
|
||||
2022-06-02 10:14:05,477 - INFO - Epoch [13/20][100/255] lr: 0.0014, eta: 1:16:03, mem: 18341, data_time: 0.00, iter_time: 0.65, semantic_loss: 0.1328, offset_loss: 0.6938, cls_loss: 0.2625, mask_loss: 0.1333, iou_score_loss: 0.0079, loss: 1.2303
|
||||
2022-06-02 10:14:36,759 - INFO - Epoch [13/20][110/255] lr: 0.0014, eta: 1:17:56, mem: 18341, data_time: 2.81, iter_time: 3.59, semantic_loss: 0.1216, offset_loss: 0.5166, cls_loss: 0.2881, mask_loss: 0.1174, iou_score_loss: 0.0081, loss: 1.0517
|
||||
2022-06-02 10:14:56,265 - INFO - Epoch [13/20][120/255] lr: 0.0014, eta: 1:16:16, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1488, offset_loss: 0.5042, cls_loss: 0.3247, mask_loss: 0.2268, iou_score_loss: 0.0113, loss: 1.2157
|
||||
2022-06-02 10:15:15,374 - INFO - Epoch [13/20][130/255] lr: 0.0014, eta: 1:14:43, mem: 18341, data_time: 0.00, iter_time: 1.44, semantic_loss: 0.1315, offset_loss: 0.5071, cls_loss: 0.2977, mask_loss: 0.1649, iou_score_loss: 0.0085, loss: 1.1097
|
||||
2022-06-02 10:15:42,325 - INFO - Epoch [13/20][140/255] lr: 0.0014, eta: 1:15:07, mem: 18341, data_time: 0.00, iter_time: 0.66, semantic_loss: 0.1542, offset_loss: 0.4819, cls_loss: 0.2982, mask_loss: 0.1471, iou_score_loss: 0.0081, loss: 1.0895
|
||||
2022-06-02 10:16:03,626 - INFO - Epoch [13/20][150/255] lr: 0.0014, eta: 1:14:12, mem: 18341, data_time: 0.00, iter_time: 8.32, semantic_loss: 0.1197, offset_loss: 0.5480, cls_loss: 0.3353, mask_loss: 0.1389, iou_score_loss: 0.0094, loss: 1.1513
|
||||
2022-06-02 10:16:22,597 - INFO - Epoch [13/20][160/255] lr: 0.0014, eta: 1:12:55, mem: 18341, data_time: 0.00, iter_time: 0.82, semantic_loss: 0.1607, offset_loss: 0.5369, cls_loss: 0.2525, mask_loss: 0.1686, iou_score_loss: 0.0078, loss: 1.1266
|
||||
2022-06-02 10:16:46,657 - INFO - Epoch [13/20][170/255] lr: 0.0014, eta: 1:12:40, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1274, offset_loss: 0.5274, cls_loss: 0.2575, mask_loss: 0.1674, iou_score_loss: 0.0106, loss: 1.0903
|
||||
2022-06-02 10:17:12,384 - INFO - Epoch [13/20][180/255] lr: 0.0014, eta: 1:12:42, mem: 18341, data_time: 0.00, iter_time: 1.61, semantic_loss: 0.1157, offset_loss: 0.5230, cls_loss: 0.2458, mask_loss: 0.1516, iou_score_loss: 0.0081, loss: 1.0441
|
||||
2022-06-02 10:17:32,971 - INFO - Epoch [13/20][190/255] lr: 0.0014, eta: 1:11:50, mem: 18341, data_time: 6.80, iter_time: 7.49, semantic_loss: 0.1258, offset_loss: 0.5957, cls_loss: 0.3213, mask_loss: 0.1681, iou_score_loss: 0.0095, loss: 1.2204
|
||||
2022-06-02 10:17:44,225 - INFO - Epoch [13/20][200/255] lr: 0.0014, eta: 1:09:36, mem: 18341, data_time: 0.00, iter_time: 1.23, semantic_loss: 0.1215, offset_loss: 0.5602, cls_loss: 0.2804, mask_loss: 0.1798, iou_score_loss: 0.0090, loss: 1.1510
|
||||
2022-06-02 10:18:03,806 - INFO - Epoch [13/20][210/255] lr: 0.0014, eta: 1:08:46, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1212, offset_loss: 0.5011, cls_loss: 0.2401, mask_loss: 0.1610, iou_score_loss: 0.0094, loss: 1.0328
|
||||
2022-06-02 10:18:21,910 - INFO - Epoch [13/20][220/255] lr: 0.0014, eta: 1:07:47, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1350, offset_loss: 0.5396, cls_loss: 0.3395, mask_loss: 0.1925, iou_score_loss: 0.0079, loss: 1.2145
|
||||
2022-06-02 10:18:42,411 - INFO - Epoch [13/20][230/255] lr: 0.0014, eta: 1:07:10, mem: 18341, data_time: 0.00, iter_time: 0.78, semantic_loss: 0.1788, offset_loss: 0.5416, cls_loss: 0.2800, mask_loss: 0.1704, iou_score_loss: 0.0089, loss: 1.1798
|
||||
2022-06-02 10:19:11,330 - INFO - Epoch [13/20][240/255] lr: 0.0014, eta: 1:07:38, mem: 18341, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1499, offset_loss: 0.5306, cls_loss: 0.2299, mask_loss: 0.1725, iou_score_loss: 0.0086, loss: 1.0914
|
||||
2022-06-02 10:19:26,160 - INFO - Epoch [13/20][250/255] lr: 0.0014, eta: 1:06:20, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1416, offset_loss: 0.4697, cls_loss: 0.2462, mask_loss: 0.1914, iou_score_loss: 0.0077, loss: 1.0567
|
||||
2022-06-02 10:20:02,969 - INFO - Epoch [14/20][10/255] lr: 0.0011, eta: 1:22:28, mem: 18341, data_time: 0.00, iter_time: 0.64, semantic_loss: 0.1174, offset_loss: 0.4881, cls_loss: 0.2464, mask_loss: 0.1702, iou_score_loss: 0.0096, loss: 1.0317
|
||||
2022-06-02 10:20:30,089 - INFO - Epoch [14/20][20/255] lr: 0.0011, eta: 1:20:52, mem: 18341, data_time: 0.00, iter_time: 0.72, semantic_loss: 0.1501, offset_loss: 0.5541, cls_loss: 0.3039, mask_loss: 0.1573, iou_score_loss: 0.0086, loss: 1.1741
|
||||
2022-06-02 10:20:50,521 - INFO - Epoch [14/20][30/255] lr: 0.0011, eta: 1:13:32, mem: 18341, data_time: 0.00, iter_time: 0.60, semantic_loss: 0.1333, offset_loss: 0.4821, cls_loss: 0.2540, mask_loss: 0.1354, iou_score_loss: 0.0093, loss: 1.0141
|
||||
2022-06-02 10:21:07,854 - INFO - Epoch [14/20][40/255] lr: 0.0011, eta: 1:07:27, mem: 18341, data_time: 0.00, iter_time: 0.87, semantic_loss: 0.1295, offset_loss: 0.4937, cls_loss: 0.2676, mask_loss: 0.1500, iou_score_loss: 0.0076, loss: 1.0484
|
||||
2022-06-02 10:21:45,620 - INFO - Epoch [14/20][50/255] lr: 0.0011, eta: 1:15:29, mem: 18341, data_time: 8.87, iter_time: 9.71, semantic_loss: 0.1730, offset_loss: 0.5660, cls_loss: 0.3710, mask_loss: 0.1765, iou_score_loss: 0.0112, loss: 1.2977
|
||||
2022-06-02 10:22:07,087 - INFO - Epoch [14/20][60/255] lr: 0.0011, eta: 1:12:50, mem: 18341, data_time: 0.00, iter_time: 5.95, semantic_loss: 0.1503, offset_loss: 0.4915, cls_loss: 0.2962, mask_loss: 0.1465, iou_score_loss: 0.0103, loss: 1.0948
|
||||
2022-06-02 10:22:21,792 - INFO - Epoch [14/20][70/255] lr: 0.0011, eta: 1:08:03, mem: 18341, data_time: 0.00, iter_time: 0.88, semantic_loss: 0.1611, offset_loss: 0.4794, cls_loss: 0.3317, mask_loss: 0.1742, iou_score_loss: 0.0081, loss: 1.1545
|
||||
2022-06-02 10:22:44,455 - INFO - Epoch [14/20][80/255] lr: 0.0011, eta: 1:07:15, mem: 18341, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1376, offset_loss: 0.4842, cls_loss: 0.2130, mask_loss: 0.1358, iou_score_loss: 0.0067, loss: 0.9773
|
||||
2022-06-02 10:23:06,295 - INFO - Epoch [14/20][90/255] lr: 0.0011, eta: 1:06:17, mem: 18341, data_time: 0.00, iter_time: 0.90, semantic_loss: 0.1497, offset_loss: 0.5250, cls_loss: 0.3416, mask_loss: 0.1691, iou_score_loss: 0.0079, loss: 1.1933
|
||||
2022-06-02 10:23:19,137 - INFO - Epoch [14/20][100/255] lr: 0.0011, eta: 1:02:55, mem: 18341, data_time: 0.00, iter_time: 0.72, semantic_loss: 0.1443, offset_loss: 0.5145, cls_loss: 0.3567, mask_loss: 0.1594, iou_score_loss: 0.0090, loss: 1.1838
|
||||
2022-06-02 10:23:39,091 - INFO - Epoch [14/20][110/255] lr: 0.0011, eta: 1:01:55, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1428, offset_loss: 0.5353, cls_loss: 0.2717, mask_loss: 0.1728, iou_score_loss: 0.0086, loss: 1.1312
|
||||
2022-06-02 10:24:14,086 - INFO - Epoch [14/20][120/255] lr: 0.0011, eta: 1:04:31, mem: 18341, data_time: 0.00, iter_time: 7.14, semantic_loss: 0.1248, offset_loss: 0.5052, cls_loss: 0.3141, mask_loss: 0.1571, iou_score_loss: 0.0104, loss: 1.1116
|
||||
2022-06-02 10:24:27,519 - INFO - Epoch [14/20][130/255] lr: 0.0011, eta: 1:02:02, mem: 18341, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1261, offset_loss: 0.6672, cls_loss: 0.2660, mask_loss: 0.1513, iou_score_loss: 0.0071, loss: 1.2176
|
||||
2022-06-02 10:24:50,595 - INFO - Epoch [14/20][140/255] lr: 0.0011, eta: 1:01:47, mem: 18341, data_time: 1.09, iter_time: 1.93, semantic_loss: 0.1455, offset_loss: 0.5176, cls_loss: 0.2763, mask_loss: 0.1660, iou_score_loss: 0.0074, loss: 1.1129
|
||||
2022-06-02 10:25:04,743 - INFO - Epoch [14/20][150/255] lr: 0.0011, eta: 0:59:53, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1591, offset_loss: 0.5198, cls_loss: 0.2419, mask_loss: 0.1715, iou_score_loss: 0.0072, loss: 1.0995
|
||||
2022-06-02 10:25:30,358 - INFO - Epoch [14/20][160/255] lr: 0.0011, eta: 1:00:08, mem: 18341, data_time: 0.00, iter_time: 2.61, semantic_loss: 0.1409, offset_loss: 0.4933, cls_loss: 0.2846, mask_loss: 0.1589, iou_score_loss: 0.0089, loss: 1.0866
|
||||
2022-06-02 10:25:57,241 - INFO - Epoch [14/20][170/255] lr: 0.0011, eta: 1:00:30, mem: 18341, data_time: 0.00, iter_time: 0.79, semantic_loss: 0.1307, offset_loss: 0.5600, cls_loss: 0.2547, mask_loss: 0.1712, iou_score_loss: 0.0087, loss: 1.1253
|
||||
2022-06-02 10:26:18,575 - INFO - Epoch [14/20][180/255] lr: 0.0011, eta: 0:59:57, mem: 18341, data_time: 0.00, iter_time: 6.06, semantic_loss: 0.1191, offset_loss: 0.5848, cls_loss: 0.2482, mask_loss: 0.1693, iou_score_loss: 0.0079, loss: 1.1293
|
||||
2022-06-02 10:26:39,413 - INFO - Epoch [14/20][190/255] lr: 0.0011, eta: 0:59:22, mem: 18341, data_time: 5.27, iter_time: 5.94, semantic_loss: 0.1382, offset_loss: 0.5494, cls_loss: 0.2267, mask_loss: 0.1639, iou_score_loss: 0.0101, loss: 1.0884
|
||||
2022-06-02 10:26:58,442 - INFO - Epoch [14/20][200/255] lr: 0.0011, eta: 0:58:33, mem: 18341, data_time: 0.00, iter_time: 0.75, semantic_loss: 0.1362, offset_loss: 0.5065, cls_loss: 0.2443, mask_loss: 0.1425, iou_score_loss: 0.0073, loss: 1.0367
|
||||
2022-06-02 10:27:21,870 - INFO - Epoch [14/20][210/255] lr: 0.0011, eta: 0:58:20, mem: 18341, data_time: 0.00, iter_time: 6.87, semantic_loss: 0.1315, offset_loss: 0.4637, cls_loss: 0.2646, mask_loss: 0.1614, iou_score_loss: 0.0087, loss: 1.0299
|
||||
2022-06-02 10:27:41,590 - INFO - Epoch [14/20][220/255] lr: 0.0011, eta: 0:57:40, mem: 18341, data_time: 0.00, iter_time: 1.01, semantic_loss: 0.1424, offset_loss: 0.4897, cls_loss: 0.3242, mask_loss: 0.1927, iou_score_loss: 0.0102, loss: 1.1593
|
||||
2022-06-02 10:28:04,692 - INFO - Epoch [14/20][230/255] lr: 0.0011, eta: 0:57:25, mem: 18341, data_time: 0.00, iter_time: 0.79, semantic_loss: 0.1343, offset_loss: 0.5618, cls_loss: 0.2319, mask_loss: 0.1345, iou_score_loss: 0.0102, loss: 1.0726
|
||||
2022-06-02 10:28:25,853 - INFO - Epoch [14/20][240/255] lr: 0.0011, eta: 0:56:56, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1499, offset_loss: 0.5975, cls_loss: 0.2496, mask_loss: 0.1509, iou_score_loss: 0.0089, loss: 1.1567
|
||||
2022-06-02 10:28:40,685 - INFO - Epoch [14/20][250/255] lr: 0.0011, eta: 0:55:49, mem: 18341, data_time: 0.00, iter_time: 0.75, semantic_loss: 0.1543, offset_loss: 0.5347, cls_loss: 0.2916, mask_loss: 0.1758, iou_score_loss: 0.0091, loss: 1.1654
|
||||
2022-06-02 10:28:49,941 - INFO - Validation
|
||||
2022-06-02 10:31:17,139 - INFO - Evaluate instance segmentation
|
||||
2022-06-02 10:31:54,449 - INFO - AP: 0.525. AP_50: 0.660. AP_25: 0.735
|
||||
2022-06-02 10:31:54,449 - INFO - Evaluate semantic segmentation and offset MAE
|
||||
2022-06-02 10:32:05,998 - INFO - Class-wise mIoU: 85.9 97.0 85.1 0.0 36.7 61.9 72.4 88.3 79.4 75.1 69.4 79.6 57.2
|
||||
2022-06-02 10:32:05,998 - INFO - mIoU: 68.3
|
||||
2022-06-02 10:32:08,636 - INFO - Acc: 89.3
|
||||
2022-06-02 10:32:17,090 - INFO - Offset MAE: 1.983
|
||||
2022-06-02 10:32:45,626 - INFO - Epoch [15/20][10/255] lr: 0.00083, eta: 1:11:56, mem: 18341, data_time: 0.00, iter_time: 7.20, semantic_loss: 0.1462, offset_loss: 0.5283, cls_loss: 0.3089, mask_loss: 0.1440, iou_score_loss: 0.0073, loss: 1.1347
|
||||
2022-06-02 10:33:00,355 - INFO - Epoch [15/20][20/255] lr: 0.00083, eta: 0:54:15, mem: 18341, data_time: 0.00, iter_time: 0.84, semantic_loss: 0.1659, offset_loss: 0.4966, cls_loss: 0.2568, mask_loss: 0.1746, iou_score_loss: 0.0084, loss: 1.1023
|
||||
2022-06-02 10:33:30,360 - INFO - Epoch [15/20][30/255] lr: 0.00083, eta: 1:00:56, mem: 18341, data_time: 0.00, iter_time: 0.67, semantic_loss: 0.1307, offset_loss: 0.5130, cls_loss: 0.2402, mask_loss: 0.1236, iou_score_loss: 0.0069, loss: 1.0144
|
||||
2022-06-02 10:33:49,622 - INFO - Epoch [15/20][40/255] lr: 0.00083, eta: 0:57:21, mem: 18341, data_time: 0.53, iter_time: 3.33, semantic_loss: 0.1599, offset_loss: 0.5585, cls_loss: 0.3069, mask_loss: 0.1591, iou_score_loss: 0.0093, loss: 1.1937
|
||||
2022-06-02 10:34:09,408 - INFO - Epoch [15/20][50/255] lr: 0.00083, eta: 0:55:20, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1450, offset_loss: 0.5475, cls_loss: 0.3303, mask_loss: 0.2019, iou_score_loss: 0.0108, loss: 1.2355
|
||||
2022-06-02 10:34:28,836 - INFO - Epoch [15/20][60/255] lr: 0.00083, eta: 0:53:44, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1501, offset_loss: 0.4943, cls_loss: 0.2691, mask_loss: 0.1468, iou_score_loss: 0.0098, loss: 1.0702
|
||||
2022-06-02 10:34:51,256 - INFO - Epoch [15/20][70/255] lr: 0.00083, eta: 0:53:32, mem: 18341, data_time: 0.00, iter_time: 2.75, semantic_loss: 0.1292, offset_loss: 0.5289, cls_loss: 0.2562, mask_loss: 0.1969, iou_score_loss: 0.0077, loss: 1.1189
|
||||
2022-06-02 10:35:08,517 - INFO - Epoch [15/20][80/255] lr: 0.00083, eta: 0:51:44, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1670, offset_loss: 0.5416, cls_loss: 0.3485, mask_loss: 0.2031, iou_score_loss: 0.0095, loss: 1.2696
|
||||
2022-06-02 10:35:44,514 - INFO - Epoch [15/20][90/255] lr: 0.00083, eta: 0:55:16, mem: 18341, data_time: 0.00, iter_time: 6.82, semantic_loss: 0.1304, offset_loss: 0.4608, cls_loss: 0.2923, mask_loss: 0.1503, iou_score_loss: 0.0075, loss: 1.0413
|
||||
2022-06-02 10:36:02,138 - INFO - Epoch [15/20][100/255] lr: 0.00083, eta: 0:53:36, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1475, offset_loss: 0.5849, cls_loss: 0.3070, mask_loss: 0.1548, iou_score_loss: 0.0085, loss: 1.2027
|
||||
2022-06-02 10:36:20,991 - INFO - Epoch [15/20][110/255] lr: 0.00083, eta: 0:52:26, mem: 18341, data_time: 0.00, iter_time: 0.78, semantic_loss: 0.1425, offset_loss: 0.5596, cls_loss: 0.2882, mask_loss: 0.1427, iou_score_loss: 0.0083, loss: 1.1412
|
||||
2022-06-02 10:36:53,012 - INFO - Epoch [15/20][120/255] lr: 0.00083, eta: 0:54:00, mem: 18341, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1391, offset_loss: 0.6092, cls_loss: 0.3244, mask_loss: 0.1473, iou_score_loss: 0.0109, loss: 1.2309
|
||||
2022-06-02 10:37:15,491 - INFO - Epoch [15/20][130/255] lr: 0.00083, eta: 0:53:32, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1469, offset_loss: 0.5256, cls_loss: 0.2724, mask_loss: 0.1825, iou_score_loss: 0.0108, loss: 1.1382
|
||||
2022-06-02 10:37:35,720 - INFO - Epoch [15/20][140/255] lr: 0.00083, eta: 0:52:42, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1357, offset_loss: 0.5035, cls_loss: 0.2036, mask_loss: 0.1434, iou_score_loss: 0.0075, loss: 0.9937
|
||||
2022-06-02 10:37:54,122 - INFO - Epoch [15/20][150/255] lr: 0.00083, eta: 0:51:39, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1294, offset_loss: 0.5541, cls_loss: 0.2466, mask_loss: 0.1398, iou_score_loss: 0.0087, loss: 1.0786
|
||||
2022-06-02 10:38:16,786 - INFO - Epoch [15/20][160/255] lr: 0.00083, eta: 0:51:18, mem: 18341, data_time: 0.00, iter_time: 4.63, semantic_loss: 0.1593, offset_loss: 0.5015, cls_loss: 0.2736, mask_loss: 0.1720, iou_score_loss: 0.0087, loss: 1.1151
|
||||
2022-06-02 10:38:35,539 - INFO - Epoch [15/20][170/255] lr: 0.00083, eta: 0:50:26, mem: 18341, data_time: 0.00, iter_time: 0.68, semantic_loss: 0.1757, offset_loss: 0.4473, cls_loss: 0.2789, mask_loss: 0.1471, iou_score_loss: 0.0079, loss: 1.0569
|
||||
2022-06-02 10:39:00,407 - INFO - Epoch [15/20][180/255] lr: 0.00083, eta: 0:50:23, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1416, offset_loss: 0.5560, cls_loss: 0.2918, mask_loss: 0.1571, iou_score_loss: 0.0088, loss: 1.1552
|
||||
2022-06-02 10:39:20,517 - INFO - Epoch [15/20][190/255] lr: 0.00083, eta: 0:49:45, mem: 18341, data_time: 3.51, iter_time: 5.17, semantic_loss: 0.1269, offset_loss: 0.5436, cls_loss: 0.3269, mask_loss: 0.2002, iou_score_loss: 0.0109, loss: 1.2084
|
||||
2022-06-02 10:39:36,224 - INFO - Epoch [15/20][200/255] lr: 0.00083, eta: 0:48:39, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1484, offset_loss: 0.5199, cls_loss: 0.2541, mask_loss: 0.1528, iou_score_loss: 0.0085, loss: 1.0837
|
||||
2022-06-02 10:40:05,287 - INFO - Epoch [15/20][210/255] lr: 0.00083, eta: 0:49:02, mem: 18341, data_time: 0.92, iter_time: 10.55, semantic_loss: 0.1261, offset_loss: 0.5446, cls_loss: 0.2201, mask_loss: 0.1439, iou_score_loss: 0.0075, loss: 1.0422
|
||||
2022-06-02 10:40:22,401 - INFO - Epoch [15/20][220/255] lr: 0.00083, eta: 0:48:08, mem: 18341, data_time: 0.00, iter_time: 0.65, semantic_loss: 0.1561, offset_loss: 0.5448, cls_loss: 0.3131, mask_loss: 0.1592, iou_score_loss: 0.0080, loss: 1.1812
|
||||
2022-06-02 10:40:38,136 - INFO - Epoch [15/20][230/255] lr: 0.00083, eta: 0:47:11, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1696, offset_loss: 0.4817, cls_loss: 0.2444, mask_loss: 0.1946, iou_score_loss: 0.0078, loss: 1.0982
|
||||
2022-06-02 10:40:57,837 - INFO - Epoch [15/20][240/255] lr: 0.00083, eta: 0:46:38, mem: 18341, data_time: 0.00, iter_time: 4.27, semantic_loss: 0.1511, offset_loss: 0.5255, cls_loss: 0.3345, mask_loss: 0.2036, iou_score_loss: 0.0100, loss: 1.2247
|
||||
2022-06-02 10:41:14,464 - INFO - Epoch [15/20][250/255] lr: 0.00083, eta: 0:45:50, mem: 18341, data_time: 0.00, iter_time: 0.75, semantic_loss: 0.1506, offset_loss: 0.6546, cls_loss: 0.3184, mask_loss: 0.1711, iou_score_loss: 0.0095, loss: 1.3042
|
||||
2022-06-02 10:41:48,443 - INFO - Epoch [16/20][10/255] lr: 0.00059, eta: 0:53:36, mem: 18341, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1533, offset_loss: 0.5783, cls_loss: 0.2971, mask_loss: 0.1464, iou_score_loss: 0.0075, loss: 1.1826
|
||||
2022-06-02 10:42:13,645 - INFO - Epoch [16/20][20/255] lr: 0.00059, eta: 0:52:56, mem: 18341, data_time: 0.00, iter_time: 0.92, semantic_loss: 0.1371, offset_loss: 0.5796, cls_loss: 0.2409, mask_loss: 0.1582, iou_score_loss: 0.0084, loss: 1.1242
|
||||
2022-06-02 10:42:34,796 - INFO - Epoch [16/20][30/255] lr: 0.00059, eta: 0:49:38, mem: 18341, data_time: 0.00, iter_time: 0.85, semantic_loss: 0.1620, offset_loss: 0.5609, cls_loss: 0.3036, mask_loss: 0.1606, iou_score_loss: 0.0085, loss: 1.1956
|
||||
2022-06-02 10:42:54,437 - INFO - Epoch [16/20][40/255] lr: 0.00059, eta: 0:47:02, mem: 18341, data_time: 0.00, iter_time: 0.84, semantic_loss: 0.1449, offset_loss: 0.5381, cls_loss: 0.2602, mask_loss: 0.1435, iou_score_loss: 0.0073, loss: 1.0939
|
||||
2022-06-02 10:43:15,521 - INFO - Epoch [16/20][50/255] lr: 0.00059, eta: 0:45:56, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1399, offset_loss: 0.5640, cls_loss: 0.2560, mask_loss: 0.1549, iou_score_loss: 0.0071, loss: 1.1219
|
||||
2022-06-02 10:43:35,892 - INFO - Epoch [16/20][60/255] lr: 0.00059, eta: 0:44:50, mem: 18341, data_time: 0.00, iter_time: 5.76, semantic_loss: 0.1500, offset_loss: 0.4858, cls_loss: 0.2974, mask_loss: 0.1743, iou_score_loss: 0.0071, loss: 1.1146
|
||||
2022-06-02 10:43:55,403 - INFO - Epoch [16/20][70/255] lr: 0.00059, eta: 0:43:43, mem: 18341, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1482, offset_loss: 0.5105, cls_loss: 0.3312, mask_loss: 0.1569, iou_score_loss: 0.0098, loss: 1.1566
|
||||
2022-06-02 10:44:17,645 - INFO - Epoch [16/20][80/255] lr: 0.00059, eta: 0:43:28, mem: 18341, data_time: 0.00, iter_time: 0.67, semantic_loss: 0.1485, offset_loss: 0.5286, cls_loss: 0.2448, mask_loss: 0.1630, iou_score_loss: 0.0095, loss: 1.0945
|
||||
2022-06-02 10:44:35,061 - INFO - Epoch [16/20][90/255] lr: 0.00059, eta: 0:42:08, mem: 18341, data_time: 1.44, iter_time: 2.20, semantic_loss: 0.1353, offset_loss: 0.5882, cls_loss: 0.2455, mask_loss: 0.1540, iou_score_loss: 0.0064, loss: 1.1295
|
||||
2022-06-02 10:45:09,419 - INFO - Epoch [16/20][100/255] lr: 0.00059, eta: 0:44:20, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1436, offset_loss: 0.5696, cls_loss: 0.2025, mask_loss: 0.1476, iou_score_loss: 0.0086, loss: 1.0718
|
||||
2022-06-02 10:45:21,592 - INFO - Epoch [16/20][110/255] lr: 0.00059, eta: 0:42:06, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1442, offset_loss: 0.5079, cls_loss: 0.2989, mask_loss: 0.1533, iou_score_loss: 0.0097, loss: 1.1140
|
||||
2022-06-02 10:45:46,482 - INFO - Epoch [16/20][120/255] lr: 0.00059, eta: 0:42:15, mem: 18341, data_time: 0.00, iter_time: 3.40, semantic_loss: 0.1268, offset_loss: 0.4598, cls_loss: 0.2681, mask_loss: 0.1492, iou_score_loss: 0.0088, loss: 1.0128
|
||||
2022-06-02 10:46:09,872 - INFO - Epoch [16/20][130/255] lr: 0.00059, eta: 0:42:06, mem: 18341, data_time: 0.00, iter_time: 9.86, semantic_loss: 0.1169, offset_loss: 0.6140, cls_loss: 0.2608, mask_loss: 0.1472, iou_score_loss: 0.0091, loss: 1.1481
|
||||
2022-06-02 10:46:36,332 - INFO - Epoch [16/20][140/255] lr: 0.00059, eta: 0:42:20, mem: 18341, data_time: 0.00, iter_time: 6.16, semantic_loss: 0.1206, offset_loss: 0.5575, cls_loss: 0.2380, mask_loss: 0.1468, iou_score_loss: 0.0077, loss: 1.0707
|
||||
2022-06-02 10:47:01,350 - INFO - Epoch [16/20][150/255] lr: 0.00059, eta: 0:42:17, mem: 18341, data_time: 0.00, iter_time: 0.54, semantic_loss: 0.1545, offset_loss: 0.4876, cls_loss: 0.3182, mask_loss: 0.1338, iou_score_loss: 0.0072, loss: 1.1013
|
||||
2022-06-02 10:47:18,820 - INFO - Epoch [16/20][160/255] lr: 0.00059, eta: 0:41:19, mem: 18341, data_time: 0.00, iter_time: 4.17, semantic_loss: 0.1537, offset_loss: 0.5899, cls_loss: 0.3165, mask_loss: 0.1537, iou_score_loss: 0.0093, loss: 1.2231
|
||||
2022-06-02 10:47:46,192 - INFO - Epoch [16/20][170/255] lr: 0.00059, eta: 0:41:30, mem: 18341, data_time: 0.00, iter_time: 8.50, semantic_loss: 0.1292, offset_loss: 0.5946, cls_loss: 0.2585, mask_loss: 0.1842, iou_score_loss: 0.0103, loss: 1.1768
|
||||
2022-06-02 10:48:04,849 - INFO - Epoch [16/20][180/255] lr: 0.00059, eta: 0:40:44, mem: 18341, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1214, offset_loss: 0.5145, cls_loss: 0.2154, mask_loss: 0.1789, iou_score_loss: 0.0068, loss: 1.0371
|
||||
2022-06-02 10:48:21,151 - INFO - Epoch [16/20][190/255] lr: 0.00059, eta: 0:39:47, mem: 18341, data_time: 0.00, iter_time: 0.90, semantic_loss: 0.1288, offset_loss: 0.5078, cls_loss: 0.1762, mask_loss: 0.1662, iou_score_loss: 0.0068, loss: 0.9858
|
||||
2022-06-02 10:48:41,568 - INFO - Epoch [16/20][200/255] lr: 0.00059, eta: 0:39:17, mem: 18341, data_time: 0.00, iter_time: 0.95, semantic_loss: 0.1413, offset_loss: 0.4994, cls_loss: 0.2261, mask_loss: 0.1828, iou_score_loss: 0.0086, loss: 1.0581
|
||||
2022-06-02 10:49:00,166 - INFO - Epoch [16/20][210/255] lr: 0.00059, eta: 0:38:38, mem: 18341, data_time: 0.00, iter_time: 4.06, semantic_loss: 0.1550, offset_loss: 0.5082, cls_loss: 0.3130, mask_loss: 0.1610, iou_score_loss: 0.0070, loss: 1.1443
|
||||
2022-06-02 10:49:32,827 - INFO - Epoch [16/20][220/255] lr: 0.00059, eta: 0:39:08, mem: 18341, data_time: 0.00, iter_time: 14.89, semantic_loss: 0.1106, offset_loss: 0.6043, cls_loss: 0.2719, mask_loss: 0.1436, iou_score_loss: 0.0087, loss: 1.1392
|
||||
2022-06-02 10:49:55,514 - INFO - Epoch [16/20][230/255] lr: 0.00059, eta: 0:38:48, mem: 18341, data_time: 0.00, iter_time: 0.83, semantic_loss: 0.1519, offset_loss: 0.5623, cls_loss: 0.2597, mask_loss: 0.1451, iou_score_loss: 0.0069, loss: 1.1259
|
||||
2022-06-02 10:50:13,151 - INFO - Epoch [16/20][240/255] lr: 0.00059, eta: 0:38:06, mem: 18341, data_time: 0.00, iter_time: 1.86, semantic_loss: 0.1333, offset_loss: 0.6365, cls_loss: 0.1669, mask_loss: 0.1298, iou_score_loss: 0.0068, loss: 1.0733
|
||||
2022-06-02 10:50:37,046 - INFO - Epoch [16/20][250/255] lr: 0.00059, eta: 0:37:51, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1474, offset_loss: 0.5544, cls_loss: 0.2821, mask_loss: 0.1448, iou_score_loss: 0.0082, loss: 1.1369
|
||||
2022-06-02 10:50:44,070 - INFO - Validation
|
||||
2022-06-02 10:53:09,264 - INFO - Evaluate instance segmentation
|
||||
2022-06-02 10:53:47,378 - INFO - AP: 0.525. AP_50: 0.660. AP_25: 0.734
|
||||
2022-06-02 10:53:47,378 - INFO - Evaluate semantic segmentation and offset MAE
|
||||
2022-06-02 10:53:58,495 - INFO - Class-wise mIoU: 85.9 97.0 85.1 0.0 36.7 61.9 72.4 88.3 79.4 75.1 69.4 79.6 57.2
|
||||
2022-06-02 10:53:58,495 - INFO - mIoU: 68.3
|
||||
2022-06-02 10:54:00,992 - INFO - Acc: 89.3
|
||||
2022-06-02 10:54:09,554 - INFO - Offset MAE: 1.983
|
||||
2022-06-02 10:54:35,107 - INFO - Epoch [17/20][10/255] lr: 0.00038, eta: 0:42:40, mem: 18341, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1117, offset_loss: 0.5797, cls_loss: 0.2425, mask_loss: 0.1627, iou_score_loss: 0.0096, loss: 1.1062
|
||||
2022-06-02 10:54:55,488 - INFO - Epoch [17/20][20/255] lr: 0.00038, eta: 0:38:07, mem: 18341, data_time: 0.00, iter_time: 0.85, semantic_loss: 0.1575, offset_loss: 0.5637, cls_loss: 0.2254, mask_loss: 0.1433, iou_score_loss: 0.0071, loss: 1.0970
|
||||
2022-06-02 10:55:12,117 - INFO - Epoch [17/20][30/255] lr: 0.00038, eta: 0:34:18, mem: 18341, data_time: 4.02, iter_time: 4.73, semantic_loss: 0.1494, offset_loss: 0.5718, cls_loss: 0.2992, mask_loss: 0.1463, iou_score_loss: 0.0102, loss: 1.1768
|
||||
2022-06-02 10:55:33,187 - INFO - Epoch [17/20][40/255] lr: 0.00038, eta: 0:34:04, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1307, offset_loss: 0.6028, cls_loss: 0.2021, mask_loss: 0.1322, iou_score_loss: 0.0079, loss: 1.0756
|
||||
2022-06-02 10:55:49,626 - INFO - Epoch [17/20][50/255] lr: 0.00038, eta: 0:32:17, mem: 18341, data_time: 0.00, iter_time: 1.69, semantic_loss: 0.1578, offset_loss: 0.7090, cls_loss: 0.2493, mask_loss: 0.1705, iou_score_loss: 0.0083, loss: 1.2950
|
||||
2022-06-02 10:56:23,515 - INFO - Epoch [17/20][60/255] lr: 0.00038, eta: 0:35:40, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1428, offset_loss: 0.5195, cls_loss: 0.2633, mask_loss: 0.1554, iou_score_loss: 0.0083, loss: 1.0894
|
||||
2022-06-02 10:56:42,978 - INFO - Epoch [17/20][70/255] lr: 0.00038, eta: 0:34:39, mem: 18341, data_time: 0.00, iter_time: 1.12, semantic_loss: 0.1497, offset_loss: 0.5471, cls_loss: 0.2682, mask_loss: 0.2178, iou_score_loss: 0.0091, loss: 1.1920
|
||||
2022-06-02 10:57:02,857 - INFO - Epoch [17/20][80/255] lr: 0.00038, eta: 0:33:53, mem: 18341, data_time: 0.09, iter_time: 0.79, semantic_loss: 0.1238, offset_loss: 0.5260, cls_loss: 0.2206, mask_loss: 0.1459, iou_score_loss: 0.0074, loss: 1.0237
|
||||
2022-06-02 10:57:24,173 - INFO - Epoch [17/20][90/255] lr: 0.00038, eta: 0:33:29, mem: 18341, data_time: 0.02, iter_time: 0.78, semantic_loss: 0.1116, offset_loss: 0.5701, cls_loss: 0.2454, mask_loss: 0.1352, iou_score_loss: 0.0092, loss: 1.0715
|
||||
2022-06-02 10:57:41,633 - INFO - Epoch [17/20][100/255] lr: 0.00038, eta: 0:32:29, mem: 18341, data_time: 0.00, iter_time: 3.61, semantic_loss: 0.1158, offset_loss: 0.5044, cls_loss: 0.2265, mask_loss: 0.1327, iou_score_loss: 0.0070, loss: 0.9864
|
||||
2022-06-02 10:57:57,614 - INFO - Epoch [17/20][110/255] lr: 0.00038, eta: 0:31:25, mem: 18341, data_time: 0.00, iter_time: 0.82, semantic_loss: 0.1372, offset_loss: 0.5064, cls_loss: 0.2847, mask_loss: 0.1413, iou_score_loss: 0.0093, loss: 1.0788
|
||||
2022-06-02 10:58:18,506 - INFO - Epoch [17/20][120/255] lr: 0.00038, eta: 0:31:05, mem: 18341, data_time: 0.00, iter_time: 0.78, semantic_loss: 0.1225, offset_loss: 0.4874, cls_loss: 0.2560, mask_loss: 0.1408, iou_score_loss: 0.0093, loss: 1.0159
|
||||
2022-06-02 10:58:35,540 - INFO - Epoch [17/20][130/255] lr: 0.00038, eta: 0:30:19, mem: 18341, data_time: 0.00, iter_time: 3.43, semantic_loss: 0.1401, offset_loss: 0.5400, cls_loss: 0.2301, mask_loss: 0.1249, iou_score_loss: 0.0072, loss: 1.0423
|
||||
2022-06-02 10:58:50,859 - INFO - Epoch [17/20][140/255] lr: 0.00038, eta: 0:29:27, mem: 18341, data_time: 0.00, iter_time: 0.79, semantic_loss: 0.1603, offset_loss: 0.5354, cls_loss: 0.3016, mask_loss: 0.1694, iou_score_loss: 0.0097, loss: 1.1765
|
||||
2022-06-02 10:59:19,557 - INFO - Epoch [17/20][150/255] lr: 0.00038, eta: 0:29:56, mem: 18341, data_time: 0.00, iter_time: 4.58, semantic_loss: 0.1349, offset_loss: 0.5269, cls_loss: 0.2734, mask_loss: 0.1579, iou_score_loss: 0.0095, loss: 1.1025
|
||||
2022-06-02 10:59:33,867 - INFO - Epoch [17/20][160/255] lr: 0.00038, eta: 0:29:02, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1377, offset_loss: 0.5746, cls_loss: 0.3105, mask_loss: 0.1625, iou_score_loss: 0.0090, loss: 1.1943
|
||||
2022-06-02 11:00:09,625 - INFO - Epoch [17/20][170/255] lr: 0.00038, eta: 0:29:59, mem: 18341, data_time: 0.00, iter_time: 0.67, semantic_loss: 0.1159, offset_loss: 0.5060, cls_loss: 0.2542, mask_loss: 0.1340, iou_score_loss: 0.0104, loss: 1.0205
|
||||
2022-06-02 11:00:36,141 - INFO - Epoch [17/20][180/255] lr: 0.00038, eta: 0:30:03, mem: 18341, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1493, offset_loss: 0.5689, cls_loss: 0.3132, mask_loss: 0.1522, iou_score_loss: 0.0073, loss: 1.1909
|
||||
2022-06-02 11:01:03,496 - INFO - Epoch [17/20][190/255] lr: 0.00038, eta: 0:30:07, mem: 18341, data_time: 0.00, iter_time: 0.91, semantic_loss: 0.1529, offset_loss: 0.5016, cls_loss: 0.2178, mask_loss: 0.1560, iou_score_loss: 0.0084, loss: 1.0367
|
||||
2022-06-02 11:01:28,236 - INFO - Epoch [17/20][200/255] lr: 0.00038, eta: 0:29:57, mem: 18341, data_time: 0.00, iter_time: 0.79, semantic_loss: 0.1408, offset_loss: 0.5077, cls_loss: 0.2532, mask_loss: 0.1427, iou_score_loss: 0.0083, loss: 1.0527
|
||||
2022-06-02 11:01:46,848 - INFO - Epoch [17/20][210/255] lr: 0.00038, eta: 0:29:23, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1529, offset_loss: 0.5881, cls_loss: 0.2659, mask_loss: 0.1489, iou_score_loss: 0.0069, loss: 1.1627
|
||||
2022-06-02 11:02:07,077 - INFO - Epoch [17/20][220/255] lr: 0.00038, eta: 0:28:55, mem: 18341, data_time: 0.00, iter_time: 1.20, semantic_loss: 0.1740, offset_loss: 0.5475, cls_loss: 0.2990, mask_loss: 0.2052, iou_score_loss: 0.0095, loss: 1.2352
|
||||
2022-06-02 11:02:30,927 - INFO - Epoch [17/20][230/255] lr: 0.00038, eta: 0:28:41, mem: 18341, data_time: 5.72, iter_time: 6.40, semantic_loss: 0.1419, offset_loss: 0.4924, cls_loss: 0.2427, mask_loss: 0.1474, iou_score_loss: 0.0075, loss: 1.0318
|
||||
2022-06-02 11:02:50,249 - INFO - Epoch [17/20][240/255] lr: 0.00038, eta: 0:28:11, mem: 18341, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1346, offset_loss: 0.5023, cls_loss: 0.2341, mask_loss: 0.1624, iou_score_loss: 0.0086, loss: 1.0421
|
||||
2022-06-02 11:03:05,029 - INFO - Epoch [17/20][250/255] lr: 0.00038, eta: 0:27:28, mem: 18341, data_time: 0.00, iter_time: 0.65, semantic_loss: 0.1296, offset_loss: 0.5194, cls_loss: 0.2218, mask_loss: 0.1509, iou_score_loss: 0.0098, loss: 1.0315
|
||||
2022-06-02 11:03:46,622 - INFO - Epoch [18/20][10/255] lr: 0.00022, eta: 0:35:40, mem: 18341, data_time: 0.00, iter_time: 0.66, semantic_loss: 0.1360, offset_loss: 0.6054, cls_loss: 0.2460, mask_loss: 0.1311, iou_score_loss: 0.0081, loss: 1.1267
|
||||
2022-06-02 11:04:10,635 - INFO - Epoch [18/20][20/255] lr: 0.00022, eta: 0:32:30, mem: 18341, data_time: 0.00, iter_time: 0.79, semantic_loss: 0.1220, offset_loss: 0.6060, cls_loss: 0.2673, mask_loss: 0.1474, iou_score_loss: 0.0090, loss: 1.1517
|
||||
2022-06-02 11:04:41,816 - INFO - Epoch [18/20][30/255] lr: 0.00022, eta: 0:34:06, mem: 18341, data_time: 0.00, iter_time: 15.16, semantic_loss: 0.1193, offset_loss: 0.5873, cls_loss: 0.3089, mask_loss: 0.1538, iou_score_loss: 0.0088, loss: 1.1781
|
||||
2022-06-02 11:04:59,627 - INFO - Epoch [18/20][40/255] lr: 0.00022, eta: 0:30:36, mem: 18341, data_time: 0.00, iter_time: 0.78, semantic_loss: 0.1325, offset_loss: 0.5266, cls_loss: 0.2428, mask_loss: 0.1601, iou_score_loss: 0.0083, loss: 1.0704
|
||||
2022-06-02 11:05:17,915 - INFO - Epoch [18/20][50/255] lr: 0.00022, eta: 0:28:30, mem: 18341, data_time: 0.00, iter_time: 0.72, semantic_loss: 0.1437, offset_loss: 0.6671, cls_loss: 0.2896, mask_loss: 0.1521, iou_score_loss: 0.0082, loss: 1.2607
|
||||
2022-06-02 11:05:36,439 - INFO - Epoch [18/20][60/255] lr: 0.00022, eta: 0:27:03, mem: 18341, data_time: 0.00, iter_time: 1.93, semantic_loss: 0.1129, offset_loss: 0.6156, cls_loss: 0.2484, mask_loss: 0.1541, iou_score_loss: 0.0088, loss: 1.1398
|
||||
2022-06-02 11:06:10,318 - INFO - Epoch [18/20][70/255] lr: 0.00022, eta: 0:28:28, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1457, offset_loss: 0.5098, cls_loss: 0.2270, mask_loss: 0.1867, iou_score_loss: 0.0075, loss: 1.0767
|
||||
2022-06-02 11:06:34,212 - INFO - Epoch [18/20][80/255] lr: 0.00022, eta: 0:27:57, mem: 18341, data_time: 0.00, iter_time: 0.93, semantic_loss: 0.1797, offset_loss: 0.4922, cls_loss: 0.3226, mask_loss: 0.1885, iou_score_loss: 0.0086, loss: 1.1916
|
||||
2022-06-02 11:06:56,006 - INFO - Epoch [18/20][90/255] lr: 0.00022, eta: 0:27:13, mem: 18341, data_time: 0.00, iter_time: 0.78, semantic_loss: 0.1400, offset_loss: 0.6636, cls_loss: 0.3350, mask_loss: 0.2164, iou_score_loss: 0.0086, loss: 1.3636
|
||||
2022-06-02 11:07:17,169 - INFO - Epoch [18/20][100/255] lr: 0.00022, eta: 0:26:28, mem: 18341, data_time: 0.00, iter_time: 0.90, semantic_loss: 0.1540, offset_loss: 0.5289, cls_loss: 0.2815, mask_loss: 0.1824, iou_score_loss: 0.0087, loss: 1.1556
|
||||
2022-06-02 11:07:44,623 - INFO - Epoch [18/20][110/255] lr: 0.00022, eta: 0:26:26, mem: 18341, data_time: 0.00, iter_time: 0.79, semantic_loss: 0.1728, offset_loss: 0.5595, cls_loss: 0.2862, mask_loss: 0.1522, iou_score_loss: 0.0085, loss: 1.1792
|
||||
2022-06-02 11:08:01,763 - INFO - Epoch [18/20][120/255] lr: 0.00022, eta: 0:25:23, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1515, offset_loss: 0.6161, cls_loss: 0.2320, mask_loss: 0.1321, iou_score_loss: 0.0071, loss: 1.1388
|
||||
2022-06-02 11:08:23,292 - INFO - Epoch [18/20][130/255] lr: 0.00022, eta: 0:24:49, mem: 18341, data_time: 0.00, iter_time: 4.68, semantic_loss: 0.1520, offset_loss: 0.4911, cls_loss: 0.2707, mask_loss: 0.1438, iou_score_loss: 0.0077, loss: 1.0653
|
||||
2022-06-02 11:08:36,362 - INFO - Epoch [18/20][140/255] lr: 0.00022, eta: 0:23:40, mem: 18341, data_time: 0.00, iter_time: 0.75, semantic_loss: 0.1362, offset_loss: 0.4959, cls_loss: 0.2553, mask_loss: 0.1496, iou_score_loss: 0.0083, loss: 1.0452
|
||||
2022-06-02 11:08:58,829 - INFO - Epoch [18/20][150/255] lr: 0.00022, eta: 0:23:16, mem: 18341, data_time: 0.00, iter_time: 2.91, semantic_loss: 0.1621, offset_loss: 0.5330, cls_loss: 0.2914, mask_loss: 0.1465, iou_score_loss: 0.0077, loss: 1.1409
|
||||
2022-06-02 11:09:19,427 - INFO - Epoch [18/20][160/255] lr: 0.00022, eta: 0:22:45, mem: 18341, data_time: 0.00, iter_time: 0.73, semantic_loss: 0.1435, offset_loss: 0.5094, cls_loss: 0.2491, mask_loss: 0.1537, iou_score_loss: 0.0084, loss: 1.0641
|
||||
2022-06-02 11:09:44,534 - INFO - Epoch [18/20][170/255] lr: 0.00022, eta: 0:22:31, mem: 18341, data_time: 2.46, iter_time: 3.30, semantic_loss: 0.1360, offset_loss: 0.4995, cls_loss: 0.2365, mask_loss: 0.1405, iou_score_loss: 0.0073, loss: 1.0199
|
||||
2022-06-02 11:10:02,654 - INFO - Epoch [18/20][180/255] lr: 0.00022, eta: 0:21:54, mem: 18341, data_time: 0.00, iter_time: 0.93, semantic_loss: 0.1600, offset_loss: 0.5224, cls_loss: 0.2592, mask_loss: 0.1714, iou_score_loss: 0.0085, loss: 1.1215
|
||||
2022-06-02 11:10:25,694 - INFO - Epoch [18/20][190/255] lr: 0.00022, eta: 0:21:33, mem: 18341, data_time: 0.00, iter_time: 0.70, semantic_loss: 0.1401, offset_loss: 0.5608, cls_loss: 0.2350, mask_loss: 0.1720, iou_score_loss: 0.0093, loss: 1.1173
|
||||
2022-06-02 11:10:54,298 - INFO - Epoch [18/20][200/255] lr: 0.00022, eta: 0:21:28, mem: 18341, data_time: 0.00, iter_time: 0.77, semantic_loss: 0.1533, offset_loss: 0.4931, cls_loss: 0.2229, mask_loss: 0.1586, iou_score_loss: 0.0092, loss: 1.0371
|
||||
2022-06-02 11:11:16,326 - INFO - Epoch [18/20][210/255] lr: 0.00022, eta: 0:21:03, mem: 18341, data_time: 0.00, iter_time: 0.81, semantic_loss: 0.1651, offset_loss: 0.5376, cls_loss: 0.2832, mask_loss: 0.1624, iou_score_loss: 0.0085, loss: 1.1568
|
||||
2022-06-02 11:11:40,510 - INFO - Epoch [18/20][220/255] lr: 0.00022, eta: 0:20:44, mem: 18341, data_time: 0.00, iter_time: 0.95, semantic_loss: 0.1857, offset_loss: 0.6186, cls_loss: 0.3470, mask_loss: 0.2008, iou_score_loss: 0.0107, loss: 1.3628
|
||||
2022-06-02 11:11:58,297 - INFO - Epoch [18/20][230/255] lr: 0.00022, eta: 0:20:09, mem: 18341, data_time: 0.00, iter_time: 3.02, semantic_loss: 0.1373, offset_loss: 0.5608, cls_loss: 0.2413, mask_loss: 0.1569, iou_score_loss: 0.0082, loss: 1.1046
|
||||
2022-06-02 11:12:20,819 - INFO - Epoch [18/20][240/255] lr: 0.00022, eta: 0:19:46, mem: 18341, data_time: 0.00, iter_time: 0.87, semantic_loss: 0.1841, offset_loss: 0.5741, cls_loss: 0.3558, mask_loss: 0.2356, iou_score_loss: 0.0092, loss: 1.3588
|
||||
2022-06-02 11:12:44,801 - INFO - Epoch [18/20][250/255] lr: 0.00022, eta: 0:19:27, mem: 18341, data_time: 0.00, iter_time: 3.85, semantic_loss: 0.1397, offset_loss: 0.5289, cls_loss: 0.2447, mask_loss: 0.1623, iou_score_loss: 0.0093, loss: 1.0849
|
||||
2022-06-02 11:12:52,959 - INFO - Validation
|
||||
2022-06-02 11:15:18,706 - INFO - Evaluate instance segmentation
|
||||
2022-06-02 11:15:59,268 - INFO - AP: 0.528. AP_50: 0.662. AP_25: 0.737
|
||||
2022-06-02 11:15:59,268 - INFO - Evaluate semantic segmentation and offset MAE
|
||||
2022-06-02 11:16:10,774 - INFO - Class-wise mIoU: 85.9 97.0 85.1 0.0 36.7 61.9 72.4 88.3 79.4 75.1 69.4 79.6 57.2
|
||||
2022-06-02 11:16:10,774 - INFO - mIoU: 68.3
|
||||
2022-06-02 11:16:13,310 - INFO - Acc: 89.3
|
||||
2022-06-02 11:16:21,845 - INFO - Offset MAE: 1.983
|
||||
2022-06-02 11:16:49,030 - INFO - Epoch [19/20][10/255] lr: 9.9e-05, eta: 0:22:29, mem: 18341, data_time: 9.82, iter_time: 10.52, semantic_loss: 0.1493, offset_loss: 0.5857, cls_loss: 0.2745, mask_loss: 0.1312, iou_score_loss: 0.0083, loss: 1.1491
|
||||
2022-06-02 11:17:08,395 - INFO - Epoch [19/20][20/255] lr: 9.9e-05, eta: 0:18:55, mem: 18341, data_time: 0.00, iter_time: 1.22, semantic_loss: 0.1441, offset_loss: 0.5361, cls_loss: 0.3501, mask_loss: 0.1739, iou_score_loss: 0.0085, loss: 1.2127
|
||||
2022-06-02 11:17:24,788 - INFO - Epoch [19/20][30/255] lr: 9.9e-05, eta: 0:16:43, mem: 18341, data_time: 0.00, iter_time: 0.82, semantic_loss: 0.1239, offset_loss: 0.6784, cls_loss: 0.2479, mask_loss: 0.1786, iou_score_loss: 0.0084, loss: 1.2373
|
||||
2022-06-02 11:17:40,952 - INFO - Epoch [19/20][40/255] lr: 9.9e-05, eta: 0:15:27, mem: 18341, data_time: 0.00, iter_time: 0.84, semantic_loss: 0.1576, offset_loss: 0.5959, cls_loss: 0.2912, mask_loss: 0.1756, iou_score_loss: 0.0086, loss: 1.2288
|
||||
2022-06-02 11:18:06,899 - INFO - Epoch [19/20][50/255] lr: 9.9e-05, eta: 0:16:04, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1254, offset_loss: 0.4650, cls_loss: 0.2661, mask_loss: 0.1708, iou_score_loss: 0.0080, loss: 1.0353
|
||||
2022-06-02 11:18:26,378 - INFO - Epoch [19/20][60/255] lr: 9.9e-05, eta: 0:15:32, mem: 18341, data_time: 0.00, iter_time: 0.69, semantic_loss: 0.1359, offset_loss: 0.5022, cls_loss: 0.2234, mask_loss: 0.1665, iou_score_loss: 0.0081, loss: 1.0361
|
||||
2022-06-02 11:18:49,519 - INFO - Epoch [19/20][70/255] lr: 9.9e-05, eta: 0:15:27, mem: 18341, data_time: 0.00, iter_time: 0.65, semantic_loss: 0.1230, offset_loss: 0.4414, cls_loss: 0.1730, mask_loss: 0.1530, iou_score_loss: 0.0079, loss: 0.8984
|
||||
2022-06-02 11:19:11,834 - INFO - Epoch [19/20][80/255] lr: 9.9e-05, eta: 0:15:12, mem: 18341, data_time: 0.00, iter_time: 0.82, semantic_loss: 0.1397, offset_loss: 0.5389, cls_loss: 0.2488, mask_loss: 0.1356, iou_score_loss: 0.0067, loss: 1.0697
|
||||
2022-06-02 11:19:42,746 - INFO - Epoch [19/20][90/255] lr: 9.9e-05, eta: 0:15:36, mem: 18341, data_time: 0.00, iter_time: 0.66, semantic_loss: 0.1473, offset_loss: 0.4515, cls_loss: 0.3015, mask_loss: 0.1613, iou_score_loss: 0.0084, loss: 1.0701
|
||||
2022-06-02 11:20:03,091 - INFO - Epoch [19/20][100/255] lr: 9.9e-05, eta: 0:15:06, mem: 18341, data_time: 0.00, iter_time: 0.83, semantic_loss: 0.1614, offset_loss: 0.5166, cls_loss: 0.2344, mask_loss: 0.1514, iou_score_loss: 0.0086, loss: 1.0724
|
||||
2022-06-02 11:20:27,816 - INFO - Epoch [19/20][110/255] lr: 9.9e-05, eta: 0:14:53, mem: 18341, data_time: 0.00, iter_time: 4.05, semantic_loss: 0.1413, offset_loss: 0.5064, cls_loss: 0.2921, mask_loss: 0.1710, iou_score_loss: 0.0085, loss: 1.1192
|
||||
2022-06-02 11:20:47,407 - INFO - Epoch [19/20][120/255] lr: 9.9e-05, eta: 0:14:22, mem: 18341, data_time: 0.00, iter_time: 7.79, semantic_loss: 0.1446, offset_loss: 0.5044, cls_loss: 0.2366, mask_loss: 0.1602, iou_score_loss: 0.0076, loss: 1.0534
|
||||
2022-06-02 11:21:15,530 - INFO - Epoch [19/20][130/255] lr: 9.9e-05, eta: 0:14:17, mem: 18341, data_time: 0.00, iter_time: 2.69, semantic_loss: 0.1685, offset_loss: 0.4939, cls_loss: 0.2853, mask_loss: 0.1734, iou_score_loss: 0.0082, loss: 1.1293
|
||||
2022-06-02 11:21:32,950 - INFO - Epoch [19/20][140/255] lr: 9.9e-05, eta: 0:13:41, mem: 18341, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1361, offset_loss: 0.4514, cls_loss: 0.2117, mask_loss: 0.1518, iou_score_loss: 0.0070, loss: 0.9580
|
||||
2022-06-02 11:21:48,405 - INFO - Epoch [19/20][150/255] lr: 9.9e-05, eta: 0:13:03, mem: 18341, data_time: 0.00, iter_time: 0.85, semantic_loss: 0.1431, offset_loss: 0.4755, cls_loss: 0.2821, mask_loss: 0.1461, iou_score_loss: 0.0094, loss: 1.0562
|
||||
2022-06-02 11:22:09,651 - INFO - Epoch [19/20][160/255] lr: 9.9e-05, eta: 0:12:40, mem: 18341, data_time: 0.00, iter_time: 1.12, semantic_loss: 0.1550, offset_loss: 0.5892, cls_loss: 0.3040, mask_loss: 0.1829, iou_score_loss: 0.0075, loss: 1.2387
|
||||
2022-06-02 11:22:24,110 - INFO - Epoch [19/20][170/255] lr: 9.9e-05, eta: 0:12:04, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1426, offset_loss: 0.4613, cls_loss: 0.2197, mask_loss: 0.1151, iou_score_loss: 0.0067, loss: 0.9454
|
||||
2022-06-02 11:22:45,536 - INFO - Epoch [19/20][180/255] lr: 9.9e-05, eta: 0:11:43, mem: 18341, data_time: 0.00, iter_time: 0.83, semantic_loss: 0.1639, offset_loss: 0.5061, cls_loss: 0.2710, mask_loss: 0.1671, iou_score_loss: 0.0080, loss: 1.1161
|
||||
2022-06-02 11:23:08,544 - INFO - Epoch [19/20][190/255] lr: 9.9e-05, eta: 0:11:24, mem: 18341, data_time: 0.00, iter_time: 5.37, semantic_loss: 0.1514, offset_loss: 0.5211, cls_loss: 0.3368, mask_loss: 0.1647, iou_score_loss: 0.0086, loss: 1.1827
|
||||
2022-06-02 11:23:24,592 - INFO - Epoch [19/20][200/255] lr: 9.9e-05, eta: 0:10:54, mem: 18341, data_time: 0.00, iter_time: 4.61, semantic_loss: 0.1370, offset_loss: 0.4828, cls_loss: 0.2670, mask_loss: 0.2102, iou_score_loss: 0.0070, loss: 1.1040
|
||||
2022-06-02 11:23:44,989 - INFO - Epoch [19/20][210/255] lr: 9.9e-05, eta: 0:10:32, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1551, offset_loss: 0.4667, cls_loss: 0.2815, mask_loss: 0.1796, iou_score_loss: 0.0087, loss: 1.0916
|
||||
2022-06-02 11:24:02,990 - INFO - Epoch [19/20][220/255] lr: 9.9e-05, eta: 0:10:07, mem: 18341, data_time: 0.00, iter_time: 0.75, semantic_loss: 0.1399, offset_loss: 0.5003, cls_loss: 0.2176, mask_loss: 0.1394, iou_score_loss: 0.0085, loss: 1.0057
|
||||
2022-06-02 11:24:23,609 - INFO - Epoch [19/20][230/255] lr: 9.9e-05, eta: 0:09:46, mem: 18341, data_time: 0.00, iter_time: 0.86, semantic_loss: 0.1171, offset_loss: 0.6109, cls_loss: 0.2275, mask_loss: 0.1709, iou_score_loss: 0.0083, loss: 1.1347
|
||||
2022-06-02 11:24:54,508 - INFO - Epoch [19/20][240/255] lr: 9.9e-05, eta: 0:09:36, mem: 18341, data_time: 1.53, iter_time: 2.46, semantic_loss: 0.1390, offset_loss: 0.5708, cls_loss: 0.2785, mask_loss: 0.1586, iou_score_loss: 0.0077, loss: 1.1546
|
||||
2022-06-02 11:25:11,051 - INFO - Epoch [19/20][250/255] lr: 9.9e-05, eta: 0:09:10, mem: 18341, data_time: 0.00, iter_time: 0.71, semantic_loss: 0.1504, offset_loss: 0.4931, cls_loss: 0.2889, mask_loss: 0.1653, iou_score_loss: 0.0076, loss: 1.1052
|
||||
2022-06-02 11:25:55,083 - INFO - Epoch [20/20][10/255] lr: 2.6e-05, eta: 0:11:56, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1556, offset_loss: 0.5256, cls_loss: 0.3176, mask_loss: 0.1840, iou_score_loss: 0.0093, loss: 1.1921
|
||||
2022-06-02 11:26:16,620 - INFO - Epoch [20/20][20/255] lr: 2.6e-05, eta: 0:09:56, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1674, offset_loss: 0.5563, cls_loss: 0.3182, mask_loss: 0.2018, iou_score_loss: 0.0104, loss: 1.2541
|
||||
2022-06-02 11:26:34,363 - INFO - Epoch [20/20][30/255] lr: 2.6e-05, eta: 0:08:34, mem: 18341, data_time: 0.00, iter_time: 1.01, semantic_loss: 0.1361, offset_loss: 0.6577, cls_loss: 0.2391, mask_loss: 0.1262, iou_score_loss: 0.0063, loss: 1.1653
|
||||
2022-06-02 11:26:57,852 - INFO - Epoch [20/20][40/255] lr: 2.6e-05, eta: 0:08:14, mem: 18341, data_time: 0.00, iter_time: 0.83, semantic_loss: 0.1391, offset_loss: 0.5465, cls_loss: 0.2501, mask_loss: 0.1567, iou_score_loss: 0.0085, loss: 1.1009
|
||||
2022-06-02 11:27:23,805 - INFO - Epoch [20/20][50/255] lr: 2.6e-05, eta: 0:08:03, mem: 18341, data_time: 0.00, iter_time: 5.85, semantic_loss: 0.1467, offset_loss: 0.5136, cls_loss: 0.2068, mask_loss: 0.1211, iou_score_loss: 0.0069, loss: 0.9951
|
||||
2022-06-02 11:27:42,606 - INFO - Epoch [20/20][60/255] lr: 2.6e-05, eta: 0:07:24, mem: 18341, data_time: 0.00, iter_time: 3.30, semantic_loss: 0.1425, offset_loss: 0.4836, cls_loss: 0.2562, mask_loss: 0.1812, iou_score_loss: 0.0074, loss: 1.0708
|
||||
2022-06-02 11:28:04,961 - INFO - Epoch [20/20][70/255] lr: 2.6e-05, eta: 0:07:00, mem: 18341, data_time: 0.00, iter_time: 1.25, semantic_loss: 0.1381, offset_loss: 0.5377, cls_loss: 0.2850, mask_loss: 0.1451, iou_score_loss: 0.0082, loss: 1.1141
|
||||
2022-06-02 11:28:18,685 - INFO - Epoch [20/20][80/255] lr: 2.6e-05, eta: 0:06:18, mem: 18341, data_time: 0.00, iter_time: 0.72, semantic_loss: 0.1143, offset_loss: 0.4920, cls_loss: 0.2518, mask_loss: 0.1367, iou_score_loss: 0.0069, loss: 1.0018
|
||||
2022-06-02 11:28:39,006 - INFO - Epoch [20/20][90/255] lr: 2.6e-05, eta: 0:05:54, mem: 18341, data_time: 0.00, iter_time: 4.01, semantic_loss: 0.1358, offset_loss: 0.4956, cls_loss: 0.2441, mask_loss: 0.1619, iou_score_loss: 0.0072, loss: 1.0447
|
||||
2022-06-02 11:29:09,868 - INFO - Epoch [20/20][100/255] lr: 2.6e-05, eta: 0:05:47, mem: 18341, data_time: 0.00, iter_time: 11.81, semantic_loss: 0.1460, offset_loss: 0.5696, cls_loss: 0.3243, mask_loss: 0.1659, iou_score_loss: 0.0099, loss: 1.2157
|
||||
2022-06-02 11:29:35,202 - INFO - Epoch [20/20][110/255] lr: 2.6e-05, eta: 0:05:28, mem: 18341, data_time: 0.00, iter_time: 0.74, semantic_loss: 0.1486, offset_loss: 0.5129, cls_loss: 0.2743, mask_loss: 0.1717, iou_score_loss: 0.0083, loss: 1.1158
|
||||
2022-06-02 11:29:51,090 - INFO - Epoch [20/20][120/255] lr: 2.6e-05, eta: 0:04:58, mem: 18341, data_time: 0.00, iter_time: 1.85, semantic_loss: 0.1356, offset_loss: 0.5116, cls_loss: 0.1918, mask_loss: 0.1493, iou_score_loss: 0.0077, loss: 0.9959
|
||||
2022-06-02 11:30:12,144 - INFO - Epoch [20/20][130/255] lr: 2.6e-05, eta: 0:04:35, mem: 18341, data_time: 0.00, iter_time: 0.72, semantic_loss: 0.1160, offset_loss: 0.5993, cls_loss: 0.2289, mask_loss: 0.1461, iou_score_loss: 0.0063, loss: 1.0964
|
||||
2022-06-02 11:30:32,051 - INFO - Epoch [20/20][140/255] lr: 2.6e-05, eta: 0:04:11, mem: 18341, data_time: 0.00, iter_time: 2.28, semantic_loss: 0.1457, offset_loss: 0.4755, cls_loss: 0.2943, mask_loss: 0.1530, iou_score_loss: 0.0071, loss: 1.0757
|
||||
2022-06-02 11:30:53,393 - INFO - Epoch [20/20][150/255] lr: 2.6e-05, eta: 0:03:49, mem: 18341, data_time: 0.00, iter_time: 2.73, semantic_loss: 0.1469, offset_loss: 0.5533, cls_loss: 0.2626, mask_loss: 0.1601, iou_score_loss: 0.0078, loss: 1.1307
|
||||
2022-06-02 11:31:20,669 - INFO - Epoch [20/20][160/255] lr: 2.6e-05, eta: 0:03:30, mem: 18341, data_time: 0.00, iter_time: 0.60, semantic_loss: 0.1089, offset_loss: 0.5264, cls_loss: 0.2541, mask_loss: 0.1345, iou_score_loss: 0.0071, loss: 1.0310
|
||||
2022-06-02 11:31:34,707 - INFO - Epoch [20/20][170/255] lr: 2.6e-05, eta: 0:03:04, mem: 18341, data_time: 0.00, iter_time: 1.65, semantic_loss: 0.1167, offset_loss: 0.5210, cls_loss: 0.2332, mask_loss: 0.1609, iou_score_loss: 0.0091, loss: 1.0409
|
||||
2022-06-02 11:31:57,042 - INFO - Epoch [20/20][180/255] lr: 2.6e-05, eta: 0:02:42, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1531, offset_loss: 0.5166, cls_loss: 0.2397, mask_loss: 0.1464, iou_score_loss: 0.0068, loss: 1.0627
|
||||
2022-06-02 11:32:21,506 - INFO - Epoch [20/20][190/255] lr: 2.6e-05, eta: 0:02:22, mem: 18341, data_time: 0.00, iter_time: 0.80, semantic_loss: 0.1621, offset_loss: 0.5912, cls_loss: 0.2392, mask_loss: 0.1497, iou_score_loss: 0.0080, loss: 1.1502
|
||||
2022-06-02 11:32:38,215 - INFO - Epoch [20/20][200/255] lr: 2.6e-05, eta: 0:01:58, mem: 18341, data_time: 0.00, iter_time: 0.62, semantic_loss: 0.1366, offset_loss: 0.5507, cls_loss: 0.2845, mask_loss: 0.1488, iou_score_loss: 0.0094, loss: 1.1300
|
||||
2022-06-02 11:33:00,916 - INFO - Epoch [20/20][210/255] lr: 2.6e-05, eta: 0:01:37, mem: 18341, data_time: 0.00, iter_time: 0.72, semantic_loss: 0.1301, offset_loss: 0.5196, cls_loss: 0.1971, mask_loss: 0.1698, iou_score_loss: 0.0082, loss: 1.0247
|
||||
2022-06-02 11:33:33,620 - INFO - Epoch [20/20][220/255] lr: 2.6e-05, eta: 0:01:17, mem: 18341, data_time: 14.68, iter_time: 15.41, semantic_loss: 0.1166, offset_loss: 0.5671, cls_loss: 0.2475, mask_loss: 0.1452, iou_score_loss: 0.0083, loss: 1.0846
|
||||
2022-06-02 11:33:52,925 - INFO - Epoch [20/20][230/255] lr: 2.6e-05, eta: 0:00:55, mem: 18341, data_time: 0.00, iter_time: 4.00, semantic_loss: 0.1582, offset_loss: 0.5294, cls_loss: 0.2381, mask_loss: 0.1798, iou_score_loss: 0.0098, loss: 1.1153
|
||||
2022-06-02 11:34:23,242 - INFO - Epoch [20/20][240/255] lr: 2.6e-05, eta: 0:00:33, mem: 18341, data_time: 0.00, iter_time: 0.76, semantic_loss: 0.1428, offset_loss: 0.5675, cls_loss: 0.2929, mask_loss: 0.1744, iou_score_loss: 0.0103, loss: 1.1879
|
||||
2022-06-02 11:34:55,173 - INFO - Epoch [20/20][250/255] lr: 2.6e-05, eta: 0:00:11, mem: 18341, data_time: 0.00, iter_time: 3.84, semantic_loss: 0.1272, offset_loss: 0.5176, cls_loss: 0.2540, mask_loss: 0.1771, iou_score_loss: 0.0096, loss: 1.0856
|
||||
2022-06-02 11:35:08,190 - INFO - Validation
|
||||
2022-06-02 11:37:32,425 - INFO - Evaluate instance segmentation
|
||||
2022-06-02 11:38:08,779 - INFO - AP: 0.528. AP_50: 0.662. AP_25: 0.736
|
||||
2022-06-02 11:38:08,779 - INFO - Evaluate semantic segmentation and offset MAE
|
||||
2022-06-02 11:38:19,059 - INFO - Class-wise mIoU: 85.9 97.0 85.1 0.0 36.7 61.9 72.4 88.3 79.4 75.1 69.4 79.6 57.2
|
||||
2022-06-02 11:38:19,059 - INFO - mIoU: 68.3
|
||||
2022-06-02 11:38:21,419 - INFO - Acc: 89.3
|
||||
2022-06-02 11:38:29,990 - INFO - Offset MAE: 1.983
|
||||
4201
docs/train_logs/softgroup_scannet_20220602_120228.log
Normal file
4201
docs/train_logs/softgroup_scannet_20220602_120228.log
Normal file
File diff suppressed because it is too large
Load Diff
@ -85,7 +85,7 @@ class CustomDataset(Dataset):
|
||||
pt_offset_label = pt_mean - xyz
|
||||
return instance_num, instance_pointnum, instance_cls, pt_offset_label
|
||||
|
||||
def dataAugment(self, xyz, jitter=False, flip=False, rot=False, prob=0.9):
|
||||
def dataAugment(self, xyz, jitter=False, flip=False, rot=False, prob=1.0):
|
||||
m = np.eye(3)
|
||||
if jitter and np.random.rand() < prob:
|
||||
m += np.random.randn(3, 3) * 0.1
|
||||
@ -128,13 +128,13 @@ class CustomDataset(Dataset):
|
||||
j += 1
|
||||
return instance_label
|
||||
|
||||
def transform_train(self, xyz, rgb, semantic_label, instance_label, aug_prob=0.9):
|
||||
def transform_train(self, xyz, rgb, semantic_label, instance_label, aug_prob=1.0):
|
||||
xyz_middle = self.dataAugment(xyz, True, True, True, aug_prob)
|
||||
xyz = xyz_middle * self.voxel_cfg.scale
|
||||
if np.random.rand() < aug_prob:
|
||||
xyz = self.elastic(xyz, 6, 40.)
|
||||
xyz = self.elastic(xyz, 20, 160.)
|
||||
xyz_middle = xyz / self.voxel_cfg.scale
|
||||
# xyz_middle = xyz / self.voxel_cfg.scale
|
||||
xyz = xyz - xyz.min(0)
|
||||
max_tries = 5
|
||||
while (max_tries > 0):
|
||||
|
||||
@ -95,7 +95,7 @@ def main():
|
||||
_, world_size = get_dist_info()
|
||||
progress_bar = tqdm(total=len(dataloader) * world_size, disable=not is_main_process())
|
||||
with torch.no_grad():
|
||||
model = model.eval()
|
||||
model.eval()
|
||||
for i, batch in enumerate(dataloader):
|
||||
result = model(batch)
|
||||
results.append(result)
|
||||
|
||||
@ -89,7 +89,7 @@ def validate(epoch, model, val_loader, cfg, logger, writer):
|
||||
progress_bar = tqdm(total=len(val_loader) * world_size, disable=not is_main_process())
|
||||
val_set = val_loader.dataset
|
||||
with torch.no_grad():
|
||||
model = model.eval()
|
||||
model.eval()
|
||||
for i, batch in enumerate(val_loader):
|
||||
result = model(batch)
|
||||
results.append(result)
|
||||
@ -114,6 +114,8 @@ def validate(epoch, model, val_loader, cfg, logger, writer):
|
||||
writer.add_scalar('val/AP', eval_res['all_ap'], epoch)
|
||||
writer.add_scalar('val/AP_50', eval_res['all_ap_50%'], epoch)
|
||||
writer.add_scalar('val/AP_25', eval_res['all_ap_25%'], epoch)
|
||||
logger.info('AP: {:.3f}. AP_50: {:.3f}. AP_25: {:.3f}'.format(
|
||||
eval_res['all_ap'], eval_res['all_ap_50%'], eval_res['all_ap_25%']))
|
||||
logger.info('Evaluate semantic segmentation and offset MAE')
|
||||
miou = evaluate_semantic_miou(all_sem_preds, all_sem_labels, cfg.model.ignore_label, logger)
|
||||
acc = evaluate_semantic_acc(all_sem_preds, all_sem_labels, cfg.model.ignore_label, logger)
|
||||
|
||||
Loading…
Reference in New Issue
Block a user