Strange output ' box i corners:...' at val stage

[Chi-Zaozao]

When I train second model on my own dataset, strange output occurs at val stage as following:

2020-06-03 07:16:29,295 - INFO - Distributed training: False
2020-06-03 07:16:29,295 - INFO - torch.backends.cudnn.benchmark: False
2020-06-03 07:16:29,295 - INFO - building model...
2020-06-03 07:16:29,434 - INFO - Finish RPN Initialization
2020-06-03 07:16:29,435 - INFO - num_classes: [1], num_preds: [14], num_dirs: [4]
2020-06-03 07:16:29,435 - INFO - Finish MultiGroupHead Initialization
2020-06-03 07:16:29,435 - INFO - model already been built
2020-06-03 07:16:29,435 - INFO - building datasets...
2020-06-03 07:16:29,630 - INFO - {'concealed': 1}
2020-06-03 07:16:29,630 - INFO - [-1]
2020-06-03 07:16:29,765 - INFO - load 11593 concealed database infos
2020-06-03 07:16:29,790 - INFO - After filter database:
2020-06-03 07:16:29,790 - INFO - load 11570 concealed database infos
2020-06-03 07:16:29,803 - INFO - datasets already been built
2020-06-03 07:16:29,933 - INFO - starting train detector...
total_steps: 20000000
len(data_loaders[0]): 1000
2020-06-03 07:16:37,304 - INFO - model structure: VoxelNet(
  (reader): VoxelFeatureExtractorV3()
  (backbone): SpMiddleFHD(
    (middle_conv): SparseSequential(
      (0): SubMConv3d()
      (1): BatchNorm1d(16, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (2): ReLU()
      (3): SubMConv3d()
      (4): BatchNorm1d(16, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (5): ReLU()
      (6): SparseConv3d()
      (7): BatchNorm1d(32, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (8): ReLU()
      (9): SubMConv3d()
      (10): BatchNorm1d(32, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (11): ReLU()
      (12): SubMConv3d()
      (13): BatchNorm1d(32, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (14): ReLU()
      (15): SparseConv3d()
      (16): BatchNorm1d(64, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (17): ReLU()
      (18): SubMConv3d()
      (19): BatchNorm1d(64, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (20): ReLU()
      (21): SubMConv3d()
      (22): BatchNorm1d(64, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (23): ReLU()
      (24): SubMConv3d()
      (25): BatchNorm1d(64, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (26): ReLU()
      (27): SparseConv3d()
      (28): BatchNorm1d(64, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (29): ReLU()
      (30): SubMConv3d()
      (31): BatchNorm1d(64, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (32): ReLU()
      (33): SubMConv3d()
      (34): BatchNorm1d(64, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (35): ReLU()
      (36): SubMConv3d()
      (37): BatchNorm1d(64, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (38): ReLU()
      (39): SparseConv3d()
      (40): BatchNorm1d(64, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
      (41): ReLU()
    )
  )
  (neck): RPN(
    (blocks): ModuleList(
      (0): Sequential(
        (0): ZeroPad2d(padding=(1, 1, 1, 1), value=0.0)
        (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), bias=False)
        (2): BatchNorm2d(128, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
        (3): ReLU()
        (4): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (5): BatchNorm2d(128, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
        (6): ReLU()
        (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (8): BatchNorm2d(128, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
        (9): ReLU()
        (10): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (11): BatchNorm2d(128, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
        (12): ReLU()
        (13): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (14): BatchNorm2d(128, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
        (15): ReLU()
        (16): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (17): BatchNorm2d(128, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
        (18): ReLU()
      )
    )
    (deblocks): ModuleList(
      (0): Sequential(
        (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (1): BatchNorm2d(128, eps=0.001, momentum=0.01, affine=True, track_running_stats=True)
        (2): ReLU()
      )
    )
  )
  (bbox_head): MultiGroupHead(
    (loss_cls): SigmoidFocalLoss()
    (loss_reg): WeightedSmoothL1Loss()
    (loss_aux): WeightedSoftmaxClassificationLoss()
    (tasks): ModuleList(
      (0): Head(
        (conv_box): Conv2d(128, 14, kernel_size=(1, 1), stride=(1, 1))
        (conv_cls): Conv2d(128, 2, kernel_size=(1, 1), stride=(1, 1))
        (conv_dir): Conv2d(128, 4, kernel_size=(1, 1), stride=(1, 1))
      )
    )
  )
)
2020-06-03 07:16:37,304 - INFO - building trainer...
2020-06-03 07:16:37,314 - INFO - trainer already been built
2020-06-03 07:16:37,314 - INFO - trainer registering hooks...
2020-06-03 07:16:37,315 - INFO - hooks already been built
2020-06-03 07:16:37,315 - INFO - start running trainer...
2020-06-03 07:16:37,315 - INFO - Start running, host: root@5ad3f45114dc, work_dir: /workspace/det3d_requirement/Det3D/data/Outputs/Det3D_Outputs/SECOND_lucky_3d_mini_20200603-071614
2020-06-03 07:16:37,315 - INFO - workflow: [('train', 1), ('val', 1)], max: 20000 epochs
2020-06-03 07:17:27,159 - INFO - Epoch [1/20000][10/1000]   lr: 0.00003, eta: 1145 days, 2:12:03, time: 4.947, data_time: 4.463, transfer_time: 0.033, forward_time: 0.234, loss_parse_time: 0.000 memory: 2473, 
2020-06-03 07:17:27,160 - INFO - task : ['concealed'], loss: 4131.7925, cls_pos_loss: 0.0244, cls_neg_loss: 4129.6011, dir_loss_reduced: 0.3525, cls_loss_reduced: 4129.6255, loc_loss_reduced: 2.1316, loc_loss_elem: ['0.0550', '0.1084', '0.2426', '0.2295', '0.4151', '0.0086', '0.0067'], num_pos: 42.4000, num_neg: 70357.4000

2020-06-03 07:18:04,929 - INFO - Epoch [1/20000][20/1000]   lr: 0.00003, eta: 1009 days, 16:40:47, time: 3.777, data_time: 3.470, transfer_time: 0.025, forward_time: 0.098, loss_parse_time: 0.000 memory: 2487, 
2020-06-03 07:18:04,929 - INFO - task : ['concealed'], loss: 5458.4286, cls_pos_loss: 0.0172, cls_neg_loss: 5456.8729, dir_loss_reduced: 0.2447, cls_loss_reduced: 5456.8901, loc_loss_reduced: 1.5140, loc_loss_elem: ['0.0435', '0.0698', '0.1668', '0.1853', '0.2802', '0.0065', '0.0049'], num_pos: 25.8000, num_neg: 70374.2000

2020-06-03 07:18:44,298 - INFO - Epoch [1/20000][30/1000]   lr: 0.00003, eta: 976 days, 21:32:00, time: 3.937, data_time: 3.585, transfer_time: 0.031, forward_time: 0.110, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:18:44,299 - INFO - task : ['concealed'], loss: 4193.7538, cls_pos_loss: 0.0243, cls_neg_loss: 4191.5561, dir_loss_reduced: 0.3399, cls_loss_reduced: 4191.5806, loc_loss_reduced: 2.1392, loc_loss_elem: ['0.0505', '0.1099', '0.2314', '0.2415', '0.4196', '0.0097', '0.0069'], num_pos: 97.4000, num_neg: 70302.6000

2020-06-03 07:19:22,685 - INFO - Epoch [1/20000][40/1000]   lr: 0.00003, eta: 954 days, 19:45:12, time: 3.839, data_time: 3.469, transfer_time: 0.032, forward_time: 0.114, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:19:22,685 - INFO - task : ['concealed'], loss: 3814.6002, cls_pos_loss: 0.0264, cls_neg_loss: 3812.4486, dir_loss_reduced: 0.3668, cls_loss_reduced: 3812.4749, loc_loss_reduced: 2.0885, loc_loss_elem: ['0.0354', '0.1112', '0.2496', '0.2071', '0.4230', '0.0106', '0.0073'], num_pos: 142.6000, num_neg: 70257.2000

2020-06-03 07:20:04,249 - INFO - Epoch [1/20000][50/1000]   lr: 0.00003, eta: 956 days, 6:46:53, time: 4.156, data_time: 3.773, transfer_time: 0.037, forward_time: 0.117, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:20:04,249 - INFO - task : ['concealed'], loss: 3311.6037, cls_pos_loss: 0.0297, cls_neg_loss: 3309.1759, dir_loss_reduced: 0.4072, cls_loss_reduced: 3309.2056, loc_loss_reduced: 2.3573, loc_loss_elem: ['0.0489', '0.1134', '0.2792', '0.2593', '0.4578', '0.0124', '0.0077'], num_pos: 70.4000, num_neg: 70329.6000

2020-06-03 07:20:43,056 - INFO - Epoch [1/20000][60/1000]   lr: 0.00003, eta: 946 days, 14:53:28, time: 3.881, data_time: 3.535, transfer_time: 0.029, forward_time: 0.108, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:20:43,057 - INFO - task : ['concealed'], loss: 4083.3811, cls_pos_loss: 0.0248, cls_neg_loss: 4081.0275, dir_loss_reduced: 0.3388, cls_loss_reduced: 4081.0523, loc_loss_reduced: 2.2948, loc_loss_elem: ['0.0669', '0.1172', '0.2317', '0.2769', '0.4385', '0.0103', '0.0060'], num_pos: 117.8000, num_neg: 70282.2000

2020-06-03 07:21:20,988 - INFO - Epoch [1/20000][70/1000]   lr: 0.00003, eta: 936 days, 19:44:10, time: 3.793, data_time: 3.429, transfer_time: 0.029, forward_time: 0.113, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:21:20,988 - INFO - task : ['concealed'], loss: 3250.7669, cls_pos_loss: 0.0300, cls_neg_loss: 3248.1527, dir_loss_reduced: 0.4059, cls_loss_reduced: 3248.1828, loc_loss_reduced: 2.5434, loc_loss_elem: ['0.0647', '0.1232', '0.2767', '0.3030', '0.4845', '0.0130', '0.0066'], num_pos: 74.2000, num_neg: 70325.8000

2020-06-03 07:21:58,199 - INFO - Epoch [1/20000][80/1000]   lr: 0.00003, eta: 927 days, 9:22:19, time: 3.721, data_time: 3.378, transfer_time: 0.027, forward_time: 0.107, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:21:58,199 - INFO - task : ['concealed'], loss: 3936.0775, cls_pos_loss: 0.0261, cls_neg_loss: 3933.8180, dir_loss_reduced: 0.3517, cls_loss_reduced: 3933.8440, loc_loss_reduced: 2.1983, loc_loss_elem: ['0.0491', '0.1136', '0.2388', '0.2540', '0.4266', '0.0116', '0.0055'], num_pos: 55.4000, num_neg: 70344.6000

2020-06-03 07:22:39,631 - INFO - Epoch [1/20000][90/1000]   lr: 0.00003, eta: 930 days, 21:49:26, time: 4.143, data_time: 3.775, transfer_time: 0.029, forward_time: 0.115, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:22:39,631 - INFO - task : ['concealed'], loss: 3466.9133, cls_pos_loss: 0.0293, cls_neg_loss: 3464.5209, dir_loss_reduced: 0.3921, cls_loss_reduced: 3464.5502, loc_loss_reduced: 2.3238, loc_loss_elem: ['0.0464', '0.1249', '0.2671', '0.2311', '0.4729', '0.0136', '0.0058'], num_pos: 50.4000, num_neg: 70349.6000

2020-06-03 07:23:20,761 - INFO - Epoch [1/20000][100/1000]  lr: 0.00003, eta: 933 days, 0:35:52, time: 4.113, data_time: 3.757, transfer_time: 0.028, forward_time: 0.111, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:23:20,761 - INFO - task : ['concealed'], loss: 3896.7871, cls_pos_loss: 0.0262, cls_neg_loss: 3894.7903, dir_loss_reduced: 0.3514, cls_loss_reduced: 3894.8164, loc_loss_reduced: 1.9356, loc_loss_elem: ['0.0365', '0.0937', '0.2387', '0.1909', '0.3912', '0.0117', '0.0051'], num_pos: 70.8000, num_neg: 70329.2000

2020-06-03 07:24:00,871 - INFO - Epoch [1/20000][110/1000]  lr: 0.00003, eta: 932 days, 14:39:18, time: 4.011, data_time: 3.691, transfer_time: 0.024, forward_time: 0.101, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:24:00,871 - INFO - task : ['concealed'], loss: 4628.6461, cls_pos_loss: 0.0211, cls_neg_loss: 4626.9901, dir_loss_reduced: 0.2838, cls_loss_reduced: 4627.0112, loc_loss_reduced: 1.6066, loc_loss_elem: ['0.0313', '0.0805', '0.1919', '0.1614', '0.3251', '0.0091', '0.0041'], num_pos: 80.2000, num_neg: 70319.6000

2020-06-03 07:24:39,970 - INFO - Epoch [1/20000][120/1000]  lr: 0.00003, eta: 930 days, 7:32:45, time: 3.910, data_time: 3.540, transfer_time: 0.032, forward_time: 0.115, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:24:39,970 - INFO - task : ['concealed'], loss: 3392.2012, cls_pos_loss: 0.0294, cls_neg_loss: 3389.9180, dir_loss_reduced: 0.3914, cls_loss_reduced: 3389.9475, loc_loss_reduced: 2.2147, loc_loss_elem: ['0.0464', '0.1059', '0.2655', '0.2434', '0.4273', '0.0133', '0.0054'], num_pos: 100.4000, num_neg: 70299.6000

2020-06-03 07:25:17,061 - INFO - Epoch [1/20000][130/1000]  lr: 0.00003, eta: 924 days, 19:05:22, time: 3.709, data_time: 3.357, transfer_time: 0.028, forward_time: 0.110, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:25:17,061 - INFO - task : ['concealed'], loss: 3679.3361, cls_pos_loss: 0.0275, cls_neg_loss: 3676.9898, dir_loss_reduced: 0.3643, cls_loss_reduced: 3677.0173, loc_loss_reduced: 2.2825, loc_loss_elem: ['0.0584', '0.1158', '0.2476', '0.2491', '0.4529', '0.0125', '0.0049'], num_pos: 52.0000, num_neg: 70347.6000

2020-06-03 07:25:56,613 - INFO - Epoch [1/20000][140/1000]  lr: 0.00003, eta: 924 days, 3:14:35, time: 3.955, data_time: 3.587, transfer_time: 0.031, forward_time: 0.114, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:25:56,613 - INFO - task : ['concealed'], loss: 3518.1649, cls_pos_loss: 0.0285, cls_neg_loss: 3516.0140, dir_loss_reduced: 0.3776, cls_loss_reduced: 3516.0426, loc_loss_reduced: 2.0846, loc_loss_elem: ['0.0394', '0.1030', '0.2558', '0.1915', '0.4347', '0.0129', '0.0049'], num_pos: 43.6000, num_neg: 70356.4000

2020-06-03 07:26:37,457 - INFO - Epoch [1/20000][150/1000]  lr: 0.00003, eta: 925 days, 13:20:57, time: 4.084, data_time: 3.705, transfer_time: 0.032, forward_time: 0.118, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:26:37,457 - INFO - task : ['concealed'], loss: 3008.1597, cls_pos_loss: 0.0318, cls_neg_loss: 3005.4237, dir_loss_reduced: 0.4179, cls_loss_reduced: 3005.4554, loc_loss_reduced: 2.6626, loc_loss_elem: ['0.0561', '0.1483', '0.2847', '0.2738', '0.5487', '0.0146', '0.0052'], num_pos: 104.6000, num_neg: 70295.4000

2020-06-03 07:27:14,544 - INFO - Epoch [1/20000][160/1000]  lr: 0.00003, eta: 921 days, 8:43:12, time: 3.709, data_time: 3.366, transfer_time: 0.027, forward_time: 0.108, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:27:14,544 - INFO - task : ['concealed'], loss: 3829.4554, cls_pos_loss: 0.0267, cls_neg_loss: 3827.2196, dir_loss_reduced: 0.3506, cls_loss_reduced: 3827.2464, loc_loss_reduced: 2.1740, loc_loss_elem: ['0.0490', '0.1136', '0.2369', '0.2349', '0.4362', '0.0121', '0.0043'], num_pos: 112.4000, num_neg: 70287.6000

2020-06-03 07:27:56,076 - INFO - Epoch [1/20000][170/1000]  lr: 0.00003, eta: 923 days, 17:12:04, time: 4.153, data_time: 3.784, transfer_time: 0.032, forward_time: 0.115, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:27:56,076 - INFO - task : ['concealed'], loss: 3372.2995, cls_pos_loss: 0.0289, cls_neg_loss: 3369.8677, dir_loss_reduced: 0.3771, cls_loss_reduced: 3369.8966, loc_loss_reduced: 2.3651, loc_loss_elem: ['0.0560', '0.1257', '0.2546', '0.2670', '0.4620', '0.0130', '0.0044'], num_pos: 94.6000, num_neg: 70305.4000

2020-06-03 07:28:35,992 - INFO - Epoch [1/20000][180/1000]  lr: 0.00003, eta: 923 days, 17:32:40, time: 3.992, data_time: 3.599, transfer_time: 0.033, forward_time: 0.121, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:28:35,992 - INFO - task : ['concealed'], loss: 2807.0194, cls_pos_loss: 0.0331, cls_neg_loss: 2804.1007, dir_loss_reduced: 0.4304, cls_loss_reduced: 2804.1339, loc_loss_reduced: 2.8426, loc_loss_elem: ['0.0826', '0.1435', '0.2901', '0.3418', '0.5436', '0.0148', '0.0048'], num_pos: 21.0000, num_neg: 70378.6000

2020-06-03 07:29:14,514 - INFO - Epoch [1/20000][190/1000]  lr: 0.00003, eta: 922 days, 1:04:59, time: 3.852, data_time: 3.507, transfer_time: 0.029, forward_time: 0.108, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:29:14,514 - INFO - task : ['concealed'], loss: 4066.5102, cls_pos_loss: 0.0247, cls_neg_loss: 4064.3906, dir_loss_reduced: 0.3227, cls_loss_reduced: 4064.4153, loc_loss_reduced: 2.0627, loc_loss_elem: ['0.0450', '0.1150', '0.2171', '0.2195', '0.4207', '0.0103', '0.0037'], num_pos: 34.2000, num_neg: 70365.6000

2020-06-03 07:29:52,215 - INFO - Epoch [1/20000][200/1000]  lr: 0.00003, eta: 919 days, 13:50:09, time: 3.770, data_time: 3.399, transfer_time: 0.030, forward_time: 0.116, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:29:52,215 - INFO - task : ['concealed'], loss: 3156.7197, cls_pos_loss: 0.0314, cls_neg_loss: 3154.3192, dir_loss_reduced: 0.4015, cls_loss_reduced: 3154.3506, loc_loss_reduced: 2.3289, loc_loss_elem: ['0.0379', '0.1323', '0.2712', '0.2017', '0.5030', '0.0142', '0.0041'], num_pos: 30.4000, num_neg: 70369.2000

2020-06-03 07:30:29,783 - INFO - Epoch [1/20000][210/1000]  lr: 0.00003, eta: 917 days, 4:45:02, time: 3.757, data_time: 3.430, transfer_time: 0.026, forward_time: 0.102, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:30:29,783 - INFO - task : ['concealed'], loss: 4185.7596, cls_pos_loss: 0.0238, cls_neg_loss: 4183.6910, dir_loss_reduced: 0.3083, cls_loss_reduced: 4183.7147, loc_loss_reduced: 2.0141, loc_loss_elem: ['0.0410', '0.1219', '0.2074', '0.1995', '0.4241', '0.0098', '0.0034'], num_pos: 74.2000, num_neg: 70325.6000

2020-06-03 07:31:09,999 - INFO - Epoch [1/20000][220/1000]  lr: 0.00003, eta: 917 days, 19:41:57, time: 4.022, data_time: 3.690, transfer_time: 0.026, forward_time: 0.104, loss_parse_time: 0.000 memory: 2641, 
2020-06-03 07:31:09,999 - INFO - task : ['concealed'], loss: 4353.6804, cls_pos_loss: 0.0228, cls_neg_loss: 4351.6963, dir_loss_reduced: 0.2947, cls_loss_reduced: 4351.7193, loc_loss_reduced: 1.9316, loc_loss_elem: ['0.0429', '0.1150', '0.1982', '0.2012', '0.3960', '0.0093', '0.0031'], num_pos: 32.2000, num_neg: 70367.4000

2020-06-03 07:31:50,175 - INFO - Epoch [1/20000][230/1000]  lr: 0.00003, eta: 918 days, 8:22:24, time: 4.018, data_time: 3.668, transfer_time: 0.028, forward_time: 0.110, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:31:50,175 - INFO - task : ['concealed'], loss: 3880.3974, cls_pos_loss: 0.0262, cls_neg_loss: 3878.1871, dir_loss_reduced: 0.3341, cls_loss_reduced: 3878.2134, loc_loss_reduced: 2.1505, loc_loss_elem: ['0.0582', '0.1117', '0.2234', '0.2472', '0.4202', '0.0111', '0.0034'], num_pos: 34.2000, num_neg: 70365.6000

2020-06-03 07:32:29,565 - INFO - Epoch [1/20000][240/1000]  lr: 0.00003, eta: 918 days, 1:48:38, time: 3.939, data_time: 3.607, transfer_time: 0.026, forward_time: 0.104, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:32:29,565 - INFO - task : ['concealed'], loss: 3862.8475, cls_pos_loss: 0.0252, cls_neg_loss: 3860.6722, dir_loss_reduced: 0.3206, cls_loss_reduced: 3860.6973, loc_loss_reduced: 2.1181, loc_loss_elem: ['0.0535', '0.1175', '0.2156', '0.2434', '0.4155', '0.0104', '0.0032'], num_pos: 31.2000, num_neg: 70368.6000

2020-06-03 07:33:10,270 - INFO - Epoch [1/20000][250/1000]  lr: 0.00003, eta: 919 days, 1:00:05, time: 4.071, data_time: 3.730, transfer_time: 0.026, forward_time: 0.107, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:33:10,270 - INFO - task : ['concealed'], loss: 4026.7036, cls_pos_loss: 0.0253, cls_neg_loss: 4024.8769, dir_loss_reduced: 0.3203, cls_loss_reduced: 4024.9022, loc_loss_reduced: 1.7693, loc_loss_elem: ['0.0346', '0.0825', '0.2157', '0.1925', '0.3459', '0.0104', '0.0031'], num_pos: 37.2000, num_neg: 70362.6000

2020-06-03 07:33:47,714 - INFO - Epoch [1/20000][260/1000]  lr: 0.00003, eta: 917 days, 0:42:47, time: 3.744, data_time: 3.379, transfer_time: 0.033, forward_time: 0.113, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:33:47,714 - INFO - task : ['concealed'], loss: 3540.2721, cls_pos_loss: 0.0287, cls_neg_loss: 3537.8220, dir_loss_reduced: 0.3595, cls_loss_reduced: 3537.8507, loc_loss_reduced: 2.3853, loc_loss_elem: ['0.0570', '0.1374', '0.2422', '0.2505', '0.4901', '0.0122', '0.0033'], num_pos: 117.4000, num_neg: 70282.4000

2020-06-03 07:34:27,829 - INFO - Epoch [1/20000][270/1000]  lr: 0.00003, eta: 917 days, 10:58:10, time: 4.012, data_time: 3.672, transfer_time: 0.028, forward_time: 0.106, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:34:27,830 - INFO - task : ['concealed'], loss: 3824.6857, cls_pos_loss: 0.0255, cls_neg_loss: 3822.5802, dir_loss_reduced: 0.3195, cls_loss_reduced: 3822.6057, loc_loss_reduced: 2.0480, loc_loss_elem: ['0.0493', '0.1108', '0.2149', '0.2233', '0.4123', '0.0105', '0.0030'], num_pos: 86.4000, num_neg: 70313.4000

2020-06-03 07:35:05,328 - INFO - Epoch [1/20000][280/1000]  lr: 0.00003, eta: 915 days, 16:33:56, time: 3.750, data_time: 3.372, transfer_time: 0.031, forward_time: 0.118, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:35:05,328 - INFO - task : ['concealed'], loss: 2884.1329, cls_pos_loss: 0.0332, cls_neg_loss: 2881.4818, dir_loss_reduced: 0.4119, cls_loss_reduced: 2881.5150, loc_loss_reduced: 2.5766, loc_loss_elem: ['0.0536', '0.1413', '0.2772', '0.2634', '0.5354', '0.0138', '0.0036'], num_pos: 72.6000, num_neg: 70327.2000

2020-06-03 07:35:44,040 - INFO - Epoch [1/20000][290/1000]  lr: 0.00003, eta: 915 days, 0:21:28, time: 3.871, data_time: 3.539, transfer_time: 0.026, forward_time: 0.105, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:35:44,041 - INFO - task : ['concealed'], loss: 4438.7302, cls_pos_loss: 0.0222, cls_neg_loss: 4437.1603, dir_loss_reduced: 0.2795, cls_loss_reduced: 4437.1826, loc_loss_reduced: 1.5198, loc_loss_elem: ['0.0283', '0.0749', '0.1877', '0.1473', '0.3104', '0.0085', '0.0026'], num_pos: 35.8000, num_neg: 70364.0000

2020-06-03 07:36:23,074 - INFO - Epoch [1/20000][300/1000]  lr: 0.00003, eta: 914 days, 15:10:00, time: 3.903, data_time: 3.580, transfer_time: 0.025, forward_time: 0.101, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:36:23,074 - INFO - task : ['concealed'], loss: 4259.3134, cls_pos_loss: 0.0233, cls_neg_loss: 4257.5731, dir_loss_reduced: 0.2926, cls_loss_reduced: 4257.5965, loc_loss_reduced: 1.6877, loc_loss_elem: ['0.0501', '0.0756', '0.1970', '0.1984', '0.3114', '0.0087', '0.0027'], num_pos: 41.2000, num_neg: 70358.8000

2020-06-03 07:37:03,619 - INFO - Epoch [1/20000][310/1000]  lr: 0.00003, eta: 915 days, 9:39:34, time: 4.055, data_time: 3.673, transfer_time: 0.033, forward_time: 0.119, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:37:03,619 - INFO - task : ['concealed'], loss: 3014.9106, cls_pos_loss: 0.0324, cls_neg_loss: 3012.3379, dir_loss_reduced: 0.3973, cls_loss_reduced: 3012.3702, loc_loss_reduced: 2.5006, loc_loss_elem: ['0.0570', '0.1401', '0.2689', '0.2516', '0.5167', '0.0126', '0.0032'], num_pos: 57.4000, num_neg: 70342.6000

2020-06-03 07:37:41,472 - INFO - Epoch [1/20000][320/1000]  lr: 0.00003, eta: 914 days, 4:15:27, time: 3.785, data_time: 3.420, transfer_time: 0.029, forward_time: 0.114, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:37:41,472 - INFO - task : ['concealed'], loss: 3105.1656, cls_pos_loss: 0.0312, cls_neg_loss: 3102.7851, dir_loss_reduced: 0.3842, cls_loss_reduced: 3102.8163, loc_loss_reduced: 2.3109, loc_loss_elem: ['0.0416', '0.1288', '0.2591', '0.2248', '0.4865', '0.0115', '0.0031'], num_pos: 74.4000, num_neg: 70325.6000

2020-06-03 07:38:16,786 - INFO - Epoch [1/20000][330/1000]  lr: 0.00003, eta: 911 days, 5:53:18, time: 3.531, data_time: 3.188, transfer_time: 0.028, forward_time: 0.108, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:38:16,786 - INFO - task : ['concealed'], loss: 3713.7850, cls_pos_loss: 0.0269, cls_neg_loss: 3711.6992, dir_loss_reduced: 0.3313, cls_loss_reduced: 3711.7262, loc_loss_reduced: 2.0258, loc_loss_elem: ['0.0443', '0.1137', '0.2225', '0.2025', '0.4177', '0.0095', '0.0027'], num_pos: 43.2000, num_neg: 70356.6000

2020-06-03 07:38:55,596 - INFO - Epoch [1/20000][340/1000]  lr: 0.00003, eta: 910 days, 20:46:34, time: 3.881, data_time: 3.542, transfer_time: 0.028, forward_time: 0.106, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:38:55,596 - INFO - task : ['concealed'], loss: 3982.6011, cls_pos_loss: 0.0250, cls_neg_loss: 3980.7110, dir_loss_reduced: 0.3042, cls_loss_reduced: 3980.7361, loc_loss_reduced: 1.8347, loc_loss_elem: ['0.0465', '0.0871', '0.2034', '0.2133', '0.3562', '0.0085', '0.0023'], num_pos: 55.6000, num_neg: 70344.4000

2020-06-03 07:39:34,277 - INFO - Epoch [1/20000][350/1000]  lr: 0.00003, eta: 910 days, 10:08:51, time: 3.868, data_time: 3.576, transfer_time: 0.023, forward_time: 0.094, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:39:34,277 - INFO - task : ['concealed'], loss: 4494.9857, cls_pos_loss: 0.0190, cls_neg_loss: 4493.5449, dir_loss_reduced: 0.2234, cls_loss_reduced: 4493.5640, loc_loss_reduced: 1.3994, loc_loss_elem: ['0.0267', '0.0702', '0.1508', '0.1564', '0.2869', '0.0070', '0.0016'], num_pos: 40.6000, num_neg: 70359.2000

2020-06-03 07:40:12,947 - INFO - Epoch [1/20000][360/1000]  lr: 0.00003, eta: 909 days, 23:56:51, time: 3.867, data_time: 3.494, transfer_time: 0.032, forward_time: 0.116, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:40:12,948 - INFO - task : ['concealed'], loss: 2685.9013, cls_pos_loss: 0.0361, cls_neg_loss: 2683.4497, dir_loss_reduced: 0.3736, cls_loss_reduced: 2683.4859, loc_loss_reduced: 2.3780, loc_loss_elem: ['0.0455', '0.1332', '0.2582', '0.2215', '0.5068', '0.0219', '0.0019'], num_pos: 48.6000, num_neg: 70351.2000

2020-06-03 07:40:51,114 - INFO - Epoch [1/20000][370/1000]  lr: 0.00003, eta: 909 days, 6:43:24, time: 3.817, data_time: 3.458, transfer_time: 0.030, forward_time: 0.111, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:40:51,114 - INFO - task : ['concealed'], loss: 2522.3722, cls_pos_loss: 0.0377, cls_neg_loss: 2520.2078, dir_loss_reduced: 0.3406, cls_loss_reduced: 2520.2455, loc_loss_reduced: 2.0927, loc_loss_elem: ['0.0456', '0.1032', '0.2418', '0.2055', '0.4187', '0.0309', '0.0005'], num_pos: 29.0000, num_neg: 70371.0000

2020-06-03 07:41:28,752 - INFO - Epoch [1/20000][380/1000]  lr: 0.00003, eta: 908 days, 6:41:17, time: 3.764, data_time: 3.398, transfer_time: 0.031, forward_time: 0.113, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:41:28,752 - INFO - task : ['concealed'], loss: 2351.6869, cls_pos_loss: 0.0394, cls_neg_loss: 2349.3741, dir_loss_reduced: 0.3372, cls_loss_reduced: 2349.4135, loc_loss_reduced: 2.2397, loc_loss_elem: ['0.0490', '0.1236', '0.2386', '0.2191', '0.4545', '0.0350', '0.0001'], num_pos: 58.4000, num_neg: 70341.6000

2020-06-03 07:42:06,312 - INFO - Epoch [1/20000][390/1000]  lr: 0.00003, eta: 907 days, 6:46:12, time: 3.756, data_time: 3.437, transfer_time: 0.026, forward_time: 0.100, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:42:06,312 - INFO - task : ['concealed'], loss: 3100.5245, cls_pos_loss: 0.0282, cls_neg_loss: 3098.9998, dir_loss_reduced: 0.2375, cls_loss_reduced: 3099.0281, loc_loss_reduced: 1.4727, loc_loss_elem: ['0.0285', '0.0770', '0.1678', '0.1298', '0.3086', '0.0246', '0.0001'], num_pos: 12.0000, num_neg: 70388.0000

2020-06-03 07:42:43,299 - INFO - Epoch [1/20000][400/1000]  lr: 0.00003, eta: 906 days, 0:04:38, time: 3.699, data_time: 3.323, transfer_time: 0.035, forward_time: 0.115, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:42:43,299 - INFO - task : ['concealed'], loss: 2018.2716, cls_pos_loss: 0.0441, cls_neg_loss: 2015.9178, dir_loss_reduced: 0.3602, cls_loss_reduced: 2015.9618, loc_loss_reduced: 2.2737, loc_loss_elem: ['0.0469', '0.1203', '0.2560', '0.2098', '0.4661', '0.0373', '0.0004'], num_pos: 47.0000, num_neg: 70353.0000

2020-06-03 07:43:21,421 - INFO - Epoch [1/20000][410/1000]  lr: 0.00003, eta: 905 days, 10:16:14, time: 3.812, data_time: 3.487, transfer_time: 0.026, forward_time: 0.101, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:43:21,421 - INFO - task : ['concealed'], loss: 2719.0888, cls_pos_loss: 0.0324, cls_neg_loss: 2717.2921, dir_loss_reduced: 0.2604, cls_loss_reduced: 2717.3245, loc_loss_reduced: 1.7383, loc_loss_elem: ['0.0432', '0.0860', '0.1843', '0.1820', '0.3458', '0.0273', '0.0005'], num_pos: 76.8000, num_neg: 70323.2000

2020-06-03 07:43:59,378 - INFO - Epoch [1/20000][420/1000]  lr: 0.00003, eta: 904 days, 18:56:29, time: 3.796, data_time: 3.468, transfer_time: 0.025, forward_time: 0.103, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:43:59,378 - INFO - task : ['concealed'], loss: 2411.0493, cls_pos_loss: 0.0362, cls_neg_loss: 2409.1931, dir_loss_reduced: 0.2843, cls_loss_reduced: 2409.2293, loc_loss_reduced: 1.7915, loc_loss_elem: ['0.0436', '0.0856', '0.1998', '0.1774', '0.3586', '0.0300', '0.0007'], num_pos: 33.8000, num_neg: 70366.2000

2020-06-03 07:44:39,073 - INFO - Epoch [1/20000][430/1000]  lr: 0.00003, eta: 905 days, 2:46:59, time: 3.970, data_time: 3.627, transfer_time: 0.026, forward_time: 0.107, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:44:39,074 - INFO - task : ['concealed'], loss: 2185.2574, cls_pos_loss: 0.0400, cls_neg_loss: 2183.1103, dir_loss_reduced: 0.3077, cls_loss_reduced: 2183.1503, loc_loss_reduced: 2.0763, loc_loss_elem: ['0.0508', '0.1055', '0.2157', '0.2165', '0.4155', '0.0331', '0.0010'], num_pos: 71.6000, num_neg: 70328.0000

2020-06-03 07:45:15,645 - INFO - Epoch [1/20000][440/1000]  lr: 0.00003, eta: 903 days, 18:49:47, time: 3.657, data_time: 3.346, transfer_time: 0.023, forward_time: 0.098, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:45:15,646 - INFO - task : ['concealed'], loss: 2633.1714, cls_pos_loss: 0.0307, cls_neg_loss: 2631.6080, dir_loss_reduced: 0.2335, cls_loss_reduced: 2631.6387, loc_loss_reduced: 1.5093, loc_loss_elem: ['0.0255', '0.0822', '0.1632', '0.1327', '0.3252', '0.0251', '0.0008'], num_pos: 71.2000, num_neg: 70328.8000

2020-06-03 07:45:55,448 - INFO - Epoch [1/20000][450/1000]  lr: 0.00003, eta: 904 days, 4:10:32, time: 3.980, data_time: 3.620, transfer_time: 0.031, forward_time: 0.112, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:45:55,448 - INFO - task : ['concealed'], loss: 2012.2760, cls_pos_loss: 0.0426, cls_neg_loss: 2010.1127, dir_loss_reduced: 0.3182, cls_loss_reduced: 2010.1553, loc_loss_reduced: 2.0889, loc_loss_elem: ['0.0469', '0.1109', '0.2229', '0.1956', '0.4321', '0.0347', '0.0014'], num_pos: 43.0000, num_neg: 70357.0000

2020-06-03 07:46:34,040 - INFO - Epoch [1/20000][460/1000]  lr: 0.00003, eta: 903 days, 22:30:18, time: 3.859, data_time: 3.495, transfer_time: 0.029, forward_time: 0.115, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:46:34,041 - INFO - task : ['concealed'], loss: 1728.4673, cls_pos_loss: 0.0482, cls_neg_loss: 1725.9269, dir_loss_reduced: 0.3543, cls_loss_reduced: 1725.9751, loc_loss_reduced: 2.4568, loc_loss_elem: ['0.0678', '0.1260', '0.2483', '0.2492', '0.4974', '0.0383', '0.0015'], num_pos: 68.6000, num_neg: 70331.4000

2020-06-03 07:47:13,680 - INFO - Epoch [1/20000][470/1000]  lr: 0.00003, eta: 904 days, 5:26:52, time: 3.964, data_time: 3.591, transfer_time: 0.034, forward_time: 0.115, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:47:13,680 - INFO - task : ['concealed'], loss: 1707.1378, cls_pos_loss: 0.0487, cls_neg_loss: 1704.8194, dir_loss_reduced: 0.3535, cls_loss_reduced: 1704.8680, loc_loss_reduced: 2.2345, loc_loss_elem: ['0.0451', '0.1128', '0.2458', '0.2099', '0.4648', '0.0376', '0.0013'], num_pos: 65.6000, num_neg: 70334.4000

2020-06-03 07:47:51,443 - INFO - Epoch [1/20000][480/1000]  lr: 0.00003, eta: 903 days, 14:23:02, time: 3.776, data_time: 3.431, transfer_time: 0.028, forward_time: 0.108, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:47:51,443 - INFO - task : ['concealed'], loss: 2155.2600, cls_pos_loss: 0.0389, cls_neg_loss: 2153.3198, dir_loss_reduced: 0.2797, cls_loss_reduced: 2153.3588, loc_loss_reduced: 1.8732, loc_loss_elem: ['0.0401', '0.0988', '0.1936', '0.1860', '0.3878', '0.0294', '0.0009'], num_pos: 30.8000, num_neg: 70369.2000

2020-06-03 07:48:29,816 - INFO - Epoch [1/20000][490/1000]  lr: 0.00003, eta: 903 days, 6:51:33, time: 3.837, data_time: 3.482, transfer_time: 0.029, forward_time: 0.110, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:48:29,817 - INFO - task : ['concealed'], loss: 1803.1706, cls_pos_loss: 0.0461, cls_neg_loss: 1800.9839, dir_loss_reduced: 0.3271, cls_loss_reduced: 1801.0300, loc_loss_reduced: 2.1079, loc_loss_elem: ['0.0427', '0.1139', '0.2266', '0.1935', '0.4415', '0.0345', '0.0012'], num_pos: 84.4000, num_neg: 70315.6000

2020-06-03 07:49:08,403 - INFO - Epoch [1/20000][500/1000]  lr: 0.00003, eta: 903 days, 1:59:59, time: 3.859, data_time: 3.527, transfer_time: 0.026, forward_time: 0.104, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:49:08,403 - INFO - task : ['concealed'], loss: 2096.6392, cls_pos_loss: 0.0396, cls_neg_loss: 2094.9140, dir_loss_reduced: 0.2780, cls_loss_reduced: 2094.9535, loc_loss_reduced: 1.6579, loc_loss_elem: ['0.0379', '0.0784', '0.1917', '0.1594', '0.3315', '0.0289', '0.0011'], num_pos: 35.0000, num_neg: 70365.0000

2020-06-03 07:49:47,085 - INFO - Epoch [1/20000][510/1000]  lr: 0.00003, eta: 902 days, 22:21:59, time: 3.868, data_time: 3.505, transfer_time: 0.031, forward_time: 0.113, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:49:47,085 - INFO - task : ['concealed'], loss: 1683.3603, cls_pos_loss: 0.0487, cls_neg_loss: 1680.9186, dir_loss_reduced: 0.3374, cls_loss_reduced: 1680.9673, loc_loss_reduced: 2.3592, loc_loss_elem: ['0.0638', '0.1219', '0.2336', '0.2451', '0.4785', '0.0353', '0.0014'], num_pos: 83.2000, num_neg: 70316.6000

2020-06-03 07:50:22,265 - INFO - Epoch [1/20000][520/1000]  lr: 0.00003, eta: 901 days, 5:27:50, time: 3.518, data_time: 3.219, transfer_time: 0.023, forward_time: 0.095, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:50:22,265 - INFO - task : ['concealed'], loss: 2480.9835, cls_pos_loss: 0.0297, cls_neg_loss: 2479.6767, dir_loss_reduced: 0.2046, cls_loss_reduced: 2479.7064, loc_loss_reduced: 1.2566, loc_loss_elem: ['0.0269', '0.0599', '0.1409', '0.1155', '0.2637', '0.0207', '0.0008'], num_pos: 25.6000, num_neg: 70374.4000

2020-06-03 07:51:01,690 - INFO - Epoch [1/20000][530/1000]  lr: 0.00003, eta: 901 days, 10:35:58, time: 3.943, data_time: 3.585, transfer_time: 0.030, forward_time: 0.111, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:51:01,690 - INFO - task : ['concealed'], loss: 1650.1722, cls_pos_loss: 0.0493, cls_neg_loss: 1647.9739, dir_loss_reduced: 0.3358, cls_loss_reduced: 1648.0232, loc_loss_reduced: 2.1154, loc_loss_elem: ['0.0439', '0.1131', '0.2309', '0.1869', '0.4474', '0.0342', '0.0013'], num_pos: 119.0000, num_neg: 70281.0000

2020-06-03 07:51:38,719 - INFO - Epoch [1/20000][540/1000]  lr: 0.00003, eta: 900 days, 14:53:27, time: 3.703, data_time: 3.385, transfer_time: 0.024, forward_time: 0.101, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:51:38,719 - INFO - task : ['concealed'], loss: 2272.2267, cls_pos_loss: 0.0337, cls_neg_loss: 2270.6178, dir_loss_reduced: 0.2272, cls_loss_reduced: 2270.6515, loc_loss_reduced: 1.5524, loc_loss_elem: ['0.0376', '0.0830', '0.1563', '0.1476', '0.3282', '0.0227', '0.0009'], num_pos: 50.2000, num_neg: 70349.8000

2020-06-03 07:52:18,458 - INFO - Epoch [1/20000][550/1000]  lr: 0.00003, eta: 900 days, 23:16:55, time: 3.974, data_time: 3.621, transfer_time: 0.030, forward_time: 0.111, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:52:18,459 - INFO - task : ['concealed'], loss: 1748.3367, cls_pos_loss: 0.0483, cls_neg_loss: 1745.9823, dir_loss_reduced: 0.3213, cls_loss_reduced: 1746.0306, loc_loss_reduced: 2.2739, loc_loss_elem: ['0.0652', '0.1209', '0.2204', '0.2381', '0.4587', '0.0322', '0.0014'], num_pos: 84.4000, num_neg: 70315.6000

2020-06-03 07:53:00,340 - INFO - Epoch [1/20000][560/1000]  lr: 0.00003, eta: 902 days, 4:37:04, time: 4.188, data_time: 3.845, transfer_time: 0.028, forward_time: 0.108, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:53:00,340 - INFO - task : ['concealed'], loss: 1871.9316, cls_pos_loss: 0.0432, cls_neg_loss: 1869.8687, dir_loss_reduced: 0.2850, cls_loss_reduced: 1869.9119, loc_loss_reduced: 1.9912, loc_loss_elem: ['0.0540', '0.1095', '0.1951', '0.1983', '0.4099', '0.0277', '0.0011'], num_pos: 34.8000, num_neg: 70365.0000

2020-06-03 07:53:40,791 - INFO - Epoch [1/20000][570/1000]  lr: 0.00003, eta: 902 days, 18:59:25, time: 4.045, data_time: 3.691, transfer_time: 0.028, forward_time: 0.111, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:53:40,791 - INFO - task : ['concealed'], loss: 1639.6732, cls_pos_loss: 0.0490, cls_neg_loss: 1637.4611, dir_loss_reduced: 0.3193, cls_loss_reduced: 1637.5102, loc_loss_reduced: 2.1311, loc_loss_elem: ['0.0418', '0.1211', '0.2199', '0.1820', '0.4687', '0.0307', '0.0013'], num_pos: 18.8000, num_neg: 70381.2000

2020-06-03 07:54:19,975 - INFO - Epoch [1/20000][580/1000]  lr: 0.00003, eta: 902 days, 20:43:24, time: 3.918, data_time: 3.544, transfer_time: 0.031, forward_time: 0.116, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:54:19,976 - INFO - task : ['concealed'], loss: 1419.7032, cls_pos_loss: 0.0549, cls_neg_loss: 1417.1340, dir_loss_reduced: 0.3535, cls_loss_reduced: 1417.1890, loc_loss_reduced: 2.4789, loc_loss_elem: ['0.0565', '0.1411', '0.2427', '0.2397', '0.5241', '0.0338', '0.0015'], num_pos: 52.0000, num_neg: 70348.0000

2020-06-03 07:54:57,211 - INFO - Epoch [1/20000][590/1000]  lr: 0.00003, eta: 902 days, 4:03:13, time: 3.724, data_time: 3.392, transfer_time: 0.027, forward_time: 0.103, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:54:57,211 - INFO - task : ['concealed'], loss: 1941.5276, cls_pos_loss: 0.0424, cls_neg_loss: 1939.6451, dir_loss_reduced: 0.2705, cls_loss_reduced: 1939.6875, loc_loss_reduced: 1.8131, loc_loss_elem: ['0.0467', '0.1010', '0.1853', '0.1724', '0.3744', '0.0255', '0.0012'], num_pos: 113.2000, num_neg: 70286.8000

2020-06-03 07:55:38,125 - INFO - Epoch [1/20000][600/1000]  lr: 0.00003, eta: 902 days, 21:59:53, time: 4.091, data_time: 3.776, transfer_time: 0.024, forward_time: 0.099, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:55:38,125 - INFO - task : ['concealed'], loss: 2108.1097, cls_pos_loss: 0.0371, cls_neg_loss: 2106.4673, dir_loss_reduced: 0.2348, cls_loss_reduced: 2106.5044, loc_loss_reduced: 1.5819, loc_loss_elem: ['0.0437', '0.0843', '0.1615', '0.1564', '0.3223', '0.0218', '0.0010'], num_pos: 46.6000, num_neg: 70353.2000

2020-06-03 07:56:18,047 - INFO - Epoch [1/20000][610/1000]  lr: 0.00003, eta: 903 days, 6:19:24, time: 3.992, data_time: 3.696, transfer_time: 0.024, forward_time: 0.094, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:56:18,048 - INFO - task : ['concealed'], loss: 2415.7139, cls_pos_loss: 0.0279, cls_neg_loss: 2414.6411, dir_loss_reduced: 0.1757, cls_loss_reduced: 2414.6691, loc_loss_reduced: 1.0273, loc_loss_elem: ['0.0224', '0.0480', '0.1213', '0.0920', '0.2129', '0.0162', '0.0008'], num_pos: 28.2000, num_neg: 70371.8000

2020-06-03 07:56:57,089 - INFO - Epoch [1/20000][620/1000]  lr: 0.00003, eta: 903 days, 6:29:18, time: 3.904, data_time: 3.549, transfer_time: 0.030, forward_time: 0.110, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:56:57,090 - INFO - task : ['concealed'], loss: 1621.5165, cls_pos_loss: 0.0489, cls_neg_loss: 1619.5643, dir_loss_reduced: 0.3035, cls_loss_reduced: 1619.6133, loc_loss_reduced: 1.8729, loc_loss_elem: ['0.0365', '0.0953', '0.2092', '0.1692', '0.3966', '0.0282', '0.0014'], num_pos: 86.2000, num_neg: 70313.4000

2020-06-03 07:57:36,311 - INFO - Epoch [1/20000][630/1000]  lr: 0.00003, eta: 903 days, 8:14:07, time: 3.922, data_time: 3.597, transfer_time: 0.025, forward_time: 0.102, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:57:36,311 - INFO - task : ['concealed'], loss: 1867.7254, cls_pos_loss: 0.0417, cls_neg_loss: 1866.0985, dir_loss_reduced: 0.2565, cls_loss_reduced: 1866.1402, loc_loss_reduced: 1.5596, loc_loss_elem: ['0.0312', '0.0759', '0.1755', '0.1474', '0.3250', '0.0237', '0.0012'], num_pos: 38.4000, num_neg: 70361.6000

2020-06-03 07:58:14,224 - INFO - Epoch [1/20000][640/1000]  lr: 0.00003, eta: 902 days, 22:33:45, time: 3.791, data_time: 3.413, transfer_time: 0.032, forward_time: 0.117, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:58:14,224 - INFO - task : ['concealed'], loss: 1250.8697, cls_pos_loss: 0.0593, cls_neg_loss: 1248.1245, dir_loss_reduced: 0.3605, cls_loss_reduced: 1248.1838, loc_loss_reduced: 2.6498, loc_loss_elem: ['0.0774', '0.1455', '0.2495', '0.2804', '0.5370', '0.0333', '0.0018'], num_pos: 115.4000, num_neg: 70284.6000

2020-06-03 07:58:50,565 - INFO - Epoch [1/20000][650/1000]  lr: 0.00003, eta: 901 days, 23:45:08, time: 3.634, data_time: 3.279, transfer_time: 0.028, forward_time: 0.111, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:58:50,565 - INFO - task : ['concealed'], loss: 1379.5836, cls_pos_loss: 0.0559, cls_neg_loss: 1377.4320, dir_loss_reduced: 0.3364, cls_loss_reduced: 1377.4879, loc_loss_reduced: 2.0621, loc_loss_elem: ['0.0467', '0.0980', '0.2316', '0.2049', '0.4172', '0.0310', '0.0016'], num_pos: 55.6000, num_neg: 70344.2000

2020-06-03 07:59:29,871 - INFO - Epoch [1/20000][660/1000]  lr: 0.00003, eta: 902 days, 2:35:46, time: 3.931, data_time: 3.582, transfer_time: 0.028, forward_time: 0.109, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 07:59:29,871 - INFO - task : ['concealed'], loss: 1551.7164, cls_pos_loss: 0.0504, cls_neg_loss: 1549.5897, dir_loss_reduced: 0.3008, cls_loss_reduced: 1549.6402, loc_loss_reduced: 2.0462, loc_loss_elem: ['0.0523', '0.1095', '0.2072', '0.2003', '0.4249', '0.0275', '0.0014'], num_pos: 55.2000, num_neg: 70344.8000

2020-06-03 08:00:09,478 - INFO - Epoch [1/20000][670/1000]  lr: 0.00003, eta: 902 days, 7:51:04, time: 3.961, data_time: 3.607, transfer_time: 0.028, forward_time: 0.111, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:00:09,479 - INFO - task : ['concealed'], loss: 1537.6860, cls_pos_loss: 0.0507, cls_neg_loss: 1535.6283, dir_loss_reduced: 0.3004, cls_loss_reduced: 1535.6790, loc_loss_reduced: 1.9769, loc_loss_elem: ['0.0377', '0.1120', '0.2066', '0.1832', '0.4205', '0.0271', '0.0014'], num_pos: 103.0000, num_neg: 70296.8000

2020-06-03 08:00:50,531 - INFO - Epoch [1/20000][680/1000]  lr: 0.00003, eta: 903 days, 0:45:27, time: 4.105, data_time: 3.762, transfer_time: 0.027, forward_time: 0.108, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:00:50,531 - INFO - task : ['concealed'], loss: 1703.0414, cls_pos_loss: 0.0452, cls_neg_loss: 1701.3633, dir_loss_reduced: 0.2652, cls_loss_reduced: 1701.4085, loc_loss_reduced: 1.6064, loc_loss_elem: ['0.0402', '0.0758', '0.1813', '0.1586', '0.3224', '0.0237', '0.0012'], num_pos: 59.0000, num_neg: 70340.6000

2020-06-03 08:01:32,166 - INFO - Epoch [1/20000][690/1000]  lr: 0.00003, eta: 903 days, 21:51:33, time: 4.163, data_time: 3.817, transfer_time: 0.029, forward_time: 0.108, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:01:32,166 - INFO - task : ['concealed'], loss: 1622.3084, cls_pos_loss: 0.0476, cls_neg_loss: 1620.3568, dir_loss_reduced: 0.2760, cls_loss_reduced: 1620.4043, loc_loss_reduced: 1.8766, loc_loss_elem: ['0.0483', '0.0995', '0.1891', '0.1850', '0.3907', '0.0244', '0.0012'], num_pos: 48.0000, num_neg: 70351.8000

2020-06-03 08:02:12,000 - INFO - Epoch [1/20000][700/1000]  lr: 0.00003, eta: 904 days, 4:04:10, time: 3.983, data_time: 3.645, transfer_time: 0.027, forward_time: 0.106, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:02:12,000 - INFO - task : ['concealed'], loss: 1721.4324, cls_pos_loss: 0.0459, cls_neg_loss: 1719.6133, dir_loss_reduced: 0.2640, cls_loss_reduced: 1719.6592, loc_loss_reduced: 1.7468, loc_loss_elem: ['0.0278', '0.1073', '0.1806', '0.1332', '0.4002', '0.0232', '0.0011'], num_pos: 111.2000, num_neg: 70288.8000

2020-06-03 08:02:53,391 - INFO - Epoch [1/20000][710/1000]  lr: 0.00003, eta: 904 days, 22:17:17, time: 4.139, data_time: 3.812, transfer_time: 0.025, forward_time: 0.103, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:02:53,392 - INFO - task : ['concealed'], loss: 1822.1024, cls_pos_loss: 0.0400, cls_neg_loss: 1820.4204, dir_loss_reduced: 0.2293, cls_loss_reduced: 1820.4604, loc_loss_reduced: 1.6190, loc_loss_elem: ['0.0399', '0.0930', '0.1566', '0.1576', '0.3418', '0.0198', '0.0009'], num_pos: 83.2000, num_neg: 70316.8000

2020-06-03 08:03:32,563 - INFO - Epoch [1/20000][720/1000]  lr: 0.00003, eta: 904 days, 22:52:35, time: 3.917, data_time: 3.574, transfer_time: 0.026, forward_time: 0.107, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:03:32,564 - INFO - task : ['concealed'], loss: 1506.6953, cls_pos_loss: 0.0505, cls_neg_loss: 1504.6393, dir_loss_reduced: 0.2859, cls_loss_reduced: 1504.6897, loc_loss_reduced: 1.9770, loc_loss_elem: ['0.0471', '0.1151', '0.1945', '0.1820', '0.4242', '0.0245', '0.0011'], num_pos: 35.2000, num_neg: 70364.6000

2020-06-03 08:04:12,905 - INFO - Epoch [1/20000][730/1000]  lr: 0.00003, eta: 905 days, 8:21:05, time: 4.034, data_time: 3.676, transfer_time: 0.029, forward_time: 0.111, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:04:12,906 - INFO - task : ['concealed'], loss: 1436.7572, cls_pos_loss: 0.0529, cls_neg_loss: 1434.8173, dir_loss_reduced: 0.2966, cls_loss_reduced: 1434.8702, loc_loss_reduced: 1.8574, loc_loss_elem: ['0.0437', '0.0940', '0.2017', '0.1774', '0.3857', '0.0251', '0.0011'], num_pos: 87.2000, num_neg: 70312.6000

2020-06-03 08:04:52,632 - INFO - Epoch [1/20000][740/1000]  lr: 0.00003, eta: 905 days, 12:56:54, time: 3.973, data_time: 3.654, transfer_time: 0.027, forward_time: 0.100, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:04:52,632 - INFO - task : ['concealed'], loss: 1850.6535, cls_pos_loss: 0.0389, cls_neg_loss: 1849.0332, dir_loss_reduced: 0.2163, cls_loss_reduced: 1849.0721, loc_loss_reduced: 1.5597, loc_loss_elem: ['0.0549', '0.0725', '0.1476', '0.1868', '0.2992', '0.0180', '0.0007'], num_pos: 101.2000, num_neg: 70298.6000

2020-06-03 08:05:33,183 - INFO - Epoch [1/20000][750/1000]  lr: 0.00003, eta: 905 days, 23:32:11, time: 4.055, data_time: 3.663, transfer_time: 0.033, forward_time: 0.122, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:05:33,184 - INFO - task : ['concealed'], loss: 943.8477, cls_pos_loss: 0.0703, cls_neg_loss: 941.1571, dir_loss_reduced: 0.3860, cls_loss_reduced: 941.2274, loc_loss_reduced: 2.5816, loc_loss_elem: ['0.0670', '0.1402', '0.2620', '0.2454', '0.5430', '0.0320', '0.0012'], num_pos: 102.2000, num_neg: 70297.8000

2020-06-03 08:06:11,594 - INFO - Epoch [1/20000][760/1000]  lr: 0.00003, eta: 905 days, 18:11:39, time: 3.841, data_time: 3.534, transfer_time: 0.023, forward_time: 0.098, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:06:11,594 - INFO - task : ['concealed'], loss: 1771.3127, cls_pos_loss: 0.0415, cls_neg_loss: 1769.8127, dir_loss_reduced: 0.2265, cls_loss_reduced: 1769.8542, loc_loss_reduced: 1.4359, loc_loss_elem: ['0.0363', '0.0710', '0.1542', '0.1437', '0.2938', '0.0183', '0.0006'], num_pos: 16.2000, num_neg: 70383.8000

2020-06-03 08:06:54,033 - INFO - Epoch [1/20000][770/1000]  lr: 0.00003, eta: 906 days, 18:03:16, time: 4.244, data_time: 3.882, transfer_time: 0.031, forward_time: 0.114, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:06:54,033 - INFO - task : ['concealed'], loss: 1270.4754, cls_pos_loss: 0.0586, cls_neg_loss: 1268.1310, dir_loss_reduced: 0.3159, cls_loss_reduced: 1268.1896, loc_loss_reduced: 2.2542, loc_loss_elem: ['0.0746', '0.1132', '0.2142', '0.2530', '0.4459', '0.0253', '0.0008'], num_pos: 37.8000, num_neg: 70362.2000

2020-06-03 08:07:31,012 - INFO - Epoch [1/20000][780/1000]  lr: 0.00003, eta: 906 days, 2:24:59, time: 3.698, data_time: 3.365, transfer_time: 0.026, forward_time: 0.105, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:07:31,012 - INFO - task : ['concealed'], loss: 1586.8513, cls_pos_loss: 0.0463, cls_neg_loss: 1585.0769, dir_loss_reduced: 0.2476, cls_loss_reduced: 1585.1232, loc_loss_reduced: 1.7034, loc_loss_elem: ['0.0477', '0.0928', '0.1669', '0.1723', '0.3522', '0.0192', '0.0006'], num_pos: 23.2000, num_neg: 70376.6000

2020-06-03 08:08:08,207 - INFO - Epoch [1/20000][790/1000]  lr: 0.00003, eta: 905 days, 12:41:25, time: 3.719, data_time: 3.363, transfer_time: 0.028, forward_time: 0.111, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:08:08,207 - INFO - task : ['concealed'], loss: 1232.2743, cls_pos_loss: 0.0593, cls_neg_loss: 1230.1550, dir_loss_reduced: 0.3142, cls_loss_reduced: 1230.2143, loc_loss_reduced: 2.0286, loc_loss_elem: ['0.0427', '0.1128', '0.2128', '0.1864', '0.4350', '0.0240', '0.0006'], num_pos: 83.0000, num_neg: 70317.0000

2020-06-03 08:08:46,001 - INFO - Epoch [1/20000][800/1000]  lr: 0.00003, eta: 905 days, 3:28:08, time: 3.779, data_time: 3.452, transfer_time: 0.027, forward_time: 0.102, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:08:46,001 - INFO - task : ['concealed'], loss: 1547.0802, cls_pos_loss: 0.0469, cls_neg_loss: 1545.3112, dir_loss_reduced: 0.2463, cls_loss_reduced: 1545.3581, loc_loss_reduced: 1.6974, loc_loss_elem: ['0.0379', '0.1079', '0.1661', '0.1394', '0.3783', '0.0186', '0.0005'], num_pos: 45.8000, num_neg: 70354.2000

2020-06-03 08:09:23,376 - INFO - Epoch [1/20000][810/1000]  lr: 0.00003, eta: 904 days, 15:36:09, time: 3.738, data_time: 3.394, transfer_time: 0.029, forward_time: 0.107, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:09:23,376 - INFO - task : ['concealed'], loss: 1428.1767, cls_pos_loss: 0.0515, cls_neg_loss: 1426.2992, dir_loss_reduced: 0.2680, cls_loss_reduced: 1426.3507, loc_loss_reduced: 1.7993, loc_loss_elem: ['0.0340', '0.1082', '0.1812', '0.1620', '0.3935', '0.0202', '0.0005'], num_pos: 28.2000, num_neg: 70371.6000

2020-06-03 08:10:04,649 - INFO - Epoch [1/20000][820/1000]  lr: 0.00003, eta: 905 days, 6:25:52, time: 4.127, data_time: 3.781, transfer_time: 0.029, forward_time: 0.108, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:10:04,649 - INFO - task : ['concealed'], loss: 1352.7852, cls_pos_loss: 0.0541, cls_neg_loss: 1350.8146, dir_loss_reduced: 0.2785, cls_loss_reduced: 1350.8687, loc_loss_reduced: 1.8886, loc_loss_elem: ['0.0436', '0.1079', '0.1878', '0.1802', '0.4033', '0.0210', '0.0004'], num_pos: 53.0000, num_neg: 70347.0000

2020-06-03 08:10:43,815 - INFO - Epoch [1/20000][830/1000]  lr: 0.00003, eta: 905 days, 6:48:10, time: 3.917, data_time: 3.550, transfer_time: 0.033, forward_time: 0.113, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:10:43,816 - INFO - task : ['concealed'], loss: 1234.9761, cls_pos_loss: 0.0588, cls_neg_loss: 1232.9296, dir_loss_reduced: 0.2997, cls_loss_reduced: 1232.9884, loc_loss_reduced: 1.9577, loc_loss_elem: ['0.0399', '0.1126', '0.2023', '0.1778', '0.4232', '0.0227', '0.0004'], num_pos: 54.8000, num_neg: 70344.8000

2020-06-03 08:11:23,151 - INFO - Epoch [1/20000][840/1000]  lr: 0.00003, eta: 905 days, 8:17:09, time: 3.934, data_time: 3.586, transfer_time: 0.028, forward_time: 0.108, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:11:23,151 - INFO - task : ['concealed'], loss: 1288.8926, cls_pos_loss: 0.0570, cls_neg_loss: 1286.9018, dir_loss_reduced: 0.2874, cls_loss_reduced: 1286.9588, loc_loss_reduced: 1.9050, loc_loss_elem: ['0.0395', '0.1060', '0.1948', '0.1759', '0.4139', '0.0220', '0.0003'], num_pos: 55.2000, num_neg: 70344.6000

2020-06-03 08:12:01,412 - INFO - Epoch [1/20000][850/1000]  lr: 0.00003, eta: 905 days, 2:42:27, time: 3.826, data_time: 3.469, transfer_time: 0.031, forward_time: 0.111, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:12:01,412 - INFO - task : ['concealed'], loss: 1175.2041, cls_pos_loss: 0.0619, cls_neg_loss: 1173.0315, dir_loss_reduced: 0.3083, cls_loss_reduced: 1173.0934, loc_loss_reduced: 2.0799, loc_loss_elem: ['0.0453', '0.1220', '0.2093', '0.1866', '0.4528', '0.0237', '0.0003'], num_pos: 93.0000, num_neg: 70306.6000

2020-06-03 08:12:40,279 - INFO - Epoch [1/20000][860/1000]  lr: 0.00003, eta: 905 days, 1:10:28, time: 3.887, data_time: 3.577, transfer_time: 0.024, forward_time: 0.097, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:12:40,279 - INFO - task : ['concealed'], loss: 1663.4578, cls_pos_loss: 0.0398, cls_neg_loss: 1662.1142, dir_loss_reduced: 0.1975, cls_loss_reduced: 1662.1540, loc_loss_reduced: 1.2840, loc_loss_elem: ['0.0347', '0.0677', '0.1352', '0.1256', '0.2637', '0.0150', '0.0001'], num_pos: 5.8000, num_neg: 70394.2000

2020-06-03 08:13:19,777 - INFO - Epoch [1/20000][870/1000]  lr: 0.00003, eta: 905 days, 3:42:15, time: 3.950, data_time: 3.594, transfer_time: 0.030, forward_time: 0.110, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:13:19,777 - INFO - task : ['concealed'], loss: 1284.2745, cls_pos_loss: 0.0558, cls_neg_loss: 1282.3905, dir_loss_reduced: 0.2730, cls_loss_reduced: 1282.4463, loc_loss_reduced: 1.8009, loc_loss_elem: ['0.0425', '0.0932', '0.1861', '0.1803', '0.3771', '0.0211', '0.0001'], num_pos: 73.8000, num_neg: 70326.0000

2020-06-03 08:13:57,644 - INFO - Epoch [1/20000][880/1000]  lr: 0.00003, eta: 904 days, 19:53:12, time: 3.787, data_time: 3.422, transfer_time: 0.031, forward_time: 0.113, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:13:57,645 - INFO - task : ['concealed'], loss: 1021.1990, cls_pos_loss: 0.0676, cls_neg_loss: 1018.9231, dir_loss_reduced: 0.3261, cls_loss_reduced: 1018.9907, loc_loss_reduced: 2.1757, loc_loss_elem: ['0.0542', '0.1184', '0.2238', '0.2075', '0.4583', '0.0255', '0.0001'], num_pos: 87.8000, num_neg: 70312.2000

2020-06-03 08:14:35,762 - INFO - Epoch [1/20000][890/1000]  lr: 0.00003, eta: 904 days, 13:48:15, time: 3.812, data_time: 3.479, transfer_time: 0.027, forward_time: 0.104, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:14:35,762 - INFO - task : ['concealed'], loss: 1463.4002, cls_pos_loss: 0.0475, cls_neg_loss: 1461.9265, dir_loss_reduced: 0.2277, cls_loss_reduced: 1461.9739, loc_loss_reduced: 1.4035, loc_loss_elem: ['0.0286', '0.0733', '0.1561', '0.1232', '0.3028', '0.0177', '0.0000'], num_pos: 10.8000, num_neg: 70389.2000

2020-06-03 08:15:16,326 - INFO - Epoch [1/20000][900/1000]  lr: 0.00003, eta: 904 days, 22:57:19, time: 4.056, data_time: 3.695, transfer_time: 0.029, forward_time: 0.114, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:15:16,326 - INFO - task : ['concealed'], loss: 1102.1041, cls_pos_loss: 0.0640, cls_neg_loss: 1099.8517, dir_loss_reduced: 0.3020, cls_loss_reduced: 1099.9157, loc_loss_reduced: 2.1581, loc_loss_elem: ['0.0582', '0.1289', '0.2073', '0.2062', '0.4545', '0.0239', '0.0000'], num_pos: 67.6000, num_neg: 70332.0000

2020-06-03 08:15:54,445 - INFO - Epoch [1/20000][910/1000]  lr: 0.00003, eta: 904 days, 16:58:59, time: 3.812, data_time: 3.472, transfer_time: 0.027, forward_time: 0.106, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:15:54,446 - INFO - task : ['concealed'], loss: 1247.8030, cls_pos_loss: 0.0575, cls_neg_loss: 1245.9152, dir_loss_reduced: 0.2686, cls_loss_reduced: 1245.9726, loc_loss_reduced: 1.8036, loc_loss_elem: ['0.0406', '0.1048', '0.1858', '0.1542', '0.3952', '0.0212', '0.0000'], num_pos: 88.8000, num_neg: 70311.0000

2020-06-03 08:16:33,711 - INFO - Epoch [1/20000][920/1000]  lr: 0.00003, eta: 904 days, 18:03:38, time: 3.927, data_time: 3.600, transfer_time: 0.025, forward_time: 0.102, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:16:33,711 - INFO - task : ['concealed'], loss: 1366.5477, cls_pos_loss: 0.0508, cls_neg_loss: 1364.7404, dir_loss_reduced: 0.2355, cls_loss_reduced: 1364.7912, loc_loss_reduced: 1.7330, loc_loss_elem: ['0.0505', '0.1011', '0.1638', '0.1701', '0.3627', '0.0183', '0.0000'], num_pos: 114.2000, num_neg: 70285.4000

2020-06-03 08:17:13,690 - INFO - Epoch [1/20000][930/1000]  lr: 0.00003, eta: 904 days, 23:22:37, time: 3.998, data_time: 3.664, transfer_time: 0.026, forward_time: 0.105, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:17:13,690 - INFO - task : ['concealed'], loss: 1298.3851, cls_pos_loss: 0.0535, cls_neg_loss: 1296.6462, dir_loss_reduced: 0.2453, cls_loss_reduced: 1296.6997, loc_loss_reduced: 1.6609, loc_loss_elem: ['0.0342', '0.0994', '0.1700', '0.1471', '0.3606', '0.0191', '0.0000'], num_pos: 76.6000, num_neg: 70323.4000

2020-06-03 08:17:50,578 - INFO - Epoch [1/20000][940/1000]  lr: 0.00003, eta: 904 days, 10:19:02, time: 3.689, data_time: 3.369, transfer_time: 0.026, forward_time: 0.101, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:17:50,579 - INFO - task : ['concealed'], loss: 1385.4298, cls_pos_loss: 0.0492, cls_neg_loss: 1383.7541, dir_loss_reduced: 0.2235, cls_loss_reduced: 1383.8032, loc_loss_reduced: 1.6042, loc_loss_elem: ['0.0433', '0.0911', '0.1540', '0.1673', '0.3291', '0.0174', '0.0000'], num_pos: 70.0000, num_neg: 70329.2000

2020-06-03 08:18:30,473 - INFO - Epoch [1/20000][950/1000]  lr: 0.00003, eta: 904 days, 15:06:37, time: 3.989, data_time: 3.652, transfer_time: 0.026, forward_time: 0.106, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:18:30,474 - INFO - task : ['concealed'], loss: 1218.7830, cls_pos_loss: 0.0565, cls_neg_loss: 1217.1915, dir_loss_reduced: 0.2548, cls_loss_reduced: 1217.2481, loc_loss_reduced: 1.5094, loc_loss_elem: ['0.0322', '0.0721', '0.1773', '0.1447', '0.3086', '0.0199', '0.0000'], num_pos: 15.2000, num_neg: 70384.8000

2020-06-03 08:19:09,554 - INFO - Epoch [1/20000][960/1000]  lr: 0.00003, eta: 904 days, 15:05:31, time: 3.908, data_time: 3.549, transfer_time: 0.028, forward_time: 0.111, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:19:09,554 - INFO - task : ['concealed'], loss: 1066.3048, cls_pos_loss: 0.0641, cls_neg_loss: 1064.2957, dir_loss_reduced: 0.2860, cls_loss_reduced: 1064.3598, loc_loss_reduced: 1.9164, loc_loss_elem: ['0.0369', '0.1130', '0.1992', '0.1702', '0.4163', '0.0225', '0.0000'], num_pos: 54.4000, num_neg: 70345.6000

2020-06-03 08:19:49,511 - INFO - Epoch [1/20000][970/1000]  lr: 0.00003, eta: 904 days, 20:05:45, time: 3.996, data_time: 3.668, transfer_time: 0.025, forward_time: 0.103, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:19:49,512 - INFO - task : ['concealed'], loss: 1276.2839, cls_pos_loss: 0.0525, cls_neg_loss: 1274.7750, dir_loss_reduced: 0.2328, cls_loss_reduced: 1274.8275, loc_loss_reduced: 1.4331, loc_loss_elem: ['0.0357', '0.0741', '0.1626', '0.1325', '0.2934', '0.0182', '0.0000'], num_pos: 45.2000, num_neg: 70354.8000

2020-06-03 08:20:41,788 - INFO - Epoch [1/20000][980/1000]  lr: 0.00003, eta: 907 days, 22:49:50, time: 5.228, data_time: 4.863, transfer_time: 0.032, forward_time: 0.113, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:20:41,788 - INFO - task : ['concealed'], loss: 1128.2427, cls_pos_loss: 0.0602, cls_neg_loss: 1126.2002, dir_loss_reduced: 0.2638, cls_loss_reduced: 1126.2604, loc_loss_reduced: 1.9559, loc_loss_elem: ['0.0612', '0.1147', '0.1824', '0.1954', '0.4035', '0.0207', '0.0000'], num_pos: 65.0000, num_neg: 70335.0000

2020-06-03 08:21:26,670 - INFO - Epoch [1/20000][990/1000]  lr: 0.00003, eta: 909 days, 6:33:36, time: 4.488, data_time: 4.131, transfer_time: 0.029, forward_time: 0.110, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:21:26,670 - INFO - task : ['concealed'], loss: 1116.5016, cls_pos_loss: 0.0606, cls_neg_loss: 1114.5912, dir_loss_reduced: 0.2632, cls_loss_reduced: 1114.6518, loc_loss_reduced: 1.8235, loc_loss_elem: ['0.0510', '0.1022', '0.1819', '0.1828', '0.3733', '0.0205', '0.0000'], num_pos: 88.6000, num_neg: 70311.0000

2020-06-03 08:22:07,391 - INFO - Epoch [1/20000][1000/1000] lr: 0.00003, eta: 909 days, 14:32:14, time: 4.072, data_time: 3.677, transfer_time: 0.035, forward_time: 0.121, loss_parse_time: 0.000 memory: 2683, 
2020-06-03 08:22:07,391 - INFO - task : ['concealed'], loss: 891.6404, cls_pos_loss: 0.0733, cls_neg_loss: 889.3148, dir_loss_reduced: 0.3149, cls_loss_reduced: 889.3882, loc_loss_reduced: 2.2208, loc_loss_elem: ['0.0597', '0.1272', '0.2176', '0.2105', '0.4711', '0.0243', '0.0000'], num_pos: 75.8000, num_neg: 70324.2000

2020-06-03 08:22:07,477 - INFO - work dir: /workspace/det3d_requirement/Det3D/data/Outputs/Det3D_Outputs/SECOND_lucky_3d_mini_20200603-071614
[                              ] 20/2099, 0.5 task/s, elapsed: 39s, ETA:  4013sbox i corners:
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[                              ] 25/2099, 0.5 task/s, elapsed: 48s, ETA:  4003sbox i corners:
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[                              ] 50/2099, 0.5 task/s, elapsed: 94s, ETA:  3872sbox i corners:
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[>                             ] 70/2099, 0.5 task/s, elapsed: 130s, ETA:  3775sbox i corners:
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-9.67536e+12 -9.43265e+13
box j corners:
6.99748 44.6928
6.59048 52.6912
21.184 53.4338
21.591 45.4353
box i corners:
9.67536e+12 9.43265e+13
9.67536e+12 9.43265e+13
-9.67536e+12 -9.43265e+13
-9.67536e+12 -9.43265e+13
box j corners:
5.92361 44.6928
5.51662 52.6912
20.1101 53.4338
20.5171 45.4353
box i corners:
9.67536e+12 9.43265e+13
9.67536e+12 9.43265e+13
-9.67536e+12 -9.43265e+13
-9.67536e+12 -9.43265e+13
box j corners:
4.84975 44.6928
4.44275 52.6912
19.0363 53.4338
19.4433 45.4353
box i corners:
9.67536e+12 9.43265e+13
9.67536e+12 9.43265e+13
-9.67536e+12 -9.43265e+13
-9.67536e+12 -9.43265e+13
box j corners:
3.77589 44.6928
3.36889 52.6912
17.9624 53.4338
18.3694 45.4353
......

I never add a output like this, and I don't know when will it stop. I will be appreciate if you could explain it. Thank you very much!

[tianweiy]

That means that your detection predictions generate nonreasonable corner values. The accuracy are really low + out of any possible range. e.g. 9.67536e+12 9.43265e+13 9.67536e+12 9.43265e+13 -9.67536e+12 -9.43265e+13 -9.67536e+12 -9.43265e+13

[Chi-Zaozao]

Thank you very much for your reply.
But why is the program stuck here？Do you know how to avoid this?
And It only happens at the val stage.

[tianweiy]

This is because your model doesn't train well. If that is the log of your model this, the loss is a few thousand, which means that the model doesn't predict anything useful... You may need to tune the learning rate, and also it seems there are only 9* batch_size examples in the dataset which is probably too small. Additionally, you need to check that your data format / annotations are correct. First try to get the loss done to some one digit number and then check other stuff