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toco_deit-b_voc_20k.log
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2022-11-04 01:50:48,443 - dist_train_voc_seg_neg.py - INFO: Pytorch version: 1.10.0a0+ecc3718
2022-11-04 01:50:48,821 - dist_train_voc_seg_neg.py - INFO: GPU type: A100-SXM4-40GB
2022-11-04 01:50:48,821 - dist_train_voc_seg_neg.py - INFO:
args: Namespace(aux_layer=-3, backbone='deit_base_patch16_224', backend='nccl', betas=(0.9, 0.999), bkg_thre=0.5, cam_scales=(1.0, 0.5, 1.5), ckpt_dir='workdir_voc_final2/2022-11-04-01-50-48-441426/checkpoints', crop_size=448, data_folder='../VOCdevkit/VOC2012', eval_iters=2000, high_thre=0.7, ignore_index=255, list_folder='datasets/voc', local_crop_size=96, local_rank=0, log_iters=200, low_thre=0.25, lr=6e-05, max_iters=20000, momentum=0.9, num_classes=21, num_workers=10, optimizer='PolyWarmupAdamW', pooling='gmp', power=0.9, pred_dir='workdir_voc_final2/2022-11-04-01-50-48-441426/predictions', pretrained=True, save_ckpt=True, scales=(0.5, 2), seed=0, spg=2, temp=0.5, train_set='train_aug', val_set='val', w_ctc=0.5, w_ptc=0.2, w_reg=0.05, w_seg=0.1, warmup_iters=1500, warmup_lr=1e-06, work_dir='workdir_voc_final2/2022-11-04-01-50-48-441426', wt_decay=0.01)
2022-11-04 01:50:48,822 - distributed_c10d.py - INFO: Added key: store_based_barrier_key:1 to store for rank: 0
2022-11-04 01:50:48,822 - distributed_c10d.py - INFO: Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 2 nodes.
2022-11-04 01:50:48,823 - dist_train_voc_seg_neg.py - INFO: Total gpus: 2, samples per gpu: 2...
2022-11-04 01:50:52,877 - dist_train_voc_seg_neg.py - INFO:
Optimizer:
PolyWarmupAdamW (
Parameter Group 0
amsgrad: False
betas: (0.9, 0.999)
eps: 1e-08
lr: 6e-05
weight_decay: 0.01
Parameter Group 1
amsgrad: False
betas: (0.9, 0.999)
eps: 1e-08
lr: 6e-05
weight_decay: 0.01
Parameter Group 2
amsgrad: False
betas: (0.9, 0.999)
eps: 1e-08
lr: 0.0006000000000000001
weight_decay: 0.01
Parameter Group 3
amsgrad: False
betas: (0.9, 0.999)
eps: 1e-08
lr: 0.0006000000000000001
weight_decay: 0.01
)
2022-11-04 01:52:53,434 - dist_train_voc_seg_neg.py - INFO: Iter: 200; Elasped: 0:02:05; ETA: 3:26:15; LR: 7.960e-06; cls_loss: 0.4211, cls_loss_aux: 0.5536, ptc_loss: 0.4534, ctc_loss: 1.1987, seg_loss: 2.8266...
2022-11-04 01:54:49,361 - dist_train_voc_seg_neg.py - INFO: Iter: 400; Elasped: 0:04:01; ETA: 3:16:49; LR: 1.596e-05; cls_loss: 0.2516, cls_loss_aux: 0.2562, ptc_loss: 0.4408, ctc_loss: 1.0617, seg_loss: 2.8712...
2022-11-04 01:56:45,294 - dist_train_voc_seg_neg.py - INFO: Iter: 600; Elasped: 0:05:57; ETA: 3:12:23; LR: 2.396e-05; cls_loss: 0.2147, cls_loss_aux: 0.2077, ptc_loss: 0.4342, ctc_loss: 0.8312, seg_loss: 2.9457...
2022-11-04 01:58:41,094 - dist_train_voc_seg_neg.py - INFO: Iter: 800; Elasped: 0:07:53; ETA: 3:09:12; LR: 3.196e-05; cls_loss: 0.1735, cls_loss_aux: 0.1716, ptc_loss: 0.3890, ctc_loss: 0.5551, seg_loss: 2.8774...
2022-11-04 02:00:37,101 - dist_train_voc_seg_neg.py - INFO: Iter: 1000; Elasped: 0:09:49; ETA: 3:06:31; LR: 3.996e-05; cls_loss: 0.1337, cls_loss_aux: 0.1617, ptc_loss: 0.3147, ctc_loss: 0.6417, seg_loss: 3.0138...
2022-11-04 02:02:32,995 - dist_train_voc_seg_neg.py - INFO: Iter: 1200; Elasped: 0:11:44; ETA: 3:03:49; LR: 4.796e-05; cls_loss: 0.1243, cls_loss_aux: 0.1615, ptc_loss: 0.2205, ctc_loss: 0.7034, seg_loss: 3.0089...
2022-11-04 02:04:28,677 - dist_train_voc_seg_neg.py - INFO: Iter: 1400; Elasped: 0:13:40; ETA: 3:01:34; LR: 5.596e-05; cls_loss: 0.1020, cls_loss_aux: 0.1421, ptc_loss: 0.1868, ctc_loss: 0.6714, seg_loss: 3.0305...
2022-11-04 02:06:24,274 - dist_train_voc_seg_neg.py - INFO: Iter: 1600; Elasped: 0:15:36; ETA: 2:59:24; LR: 5.566e-05; cls_loss: 0.0986, cls_loss_aux: 0.1429, ptc_loss: 0.1933, ctc_loss: 0.6789, seg_loss: 3.0001...
2022-11-04 02:08:20,167 - dist_train_voc_seg_neg.py - INFO: Iter: 1800; Elasped: 0:17:32; ETA: 2:57:16; LR: 5.512e-05; cls_loss: 0.1035, cls_loss_aux: 0.1460, ptc_loss: 0.1693, ctc_loss: 1.0573, seg_loss: 3.0016...
2022-11-04 02:10:15,854 - dist_train_voc_seg_neg.py - INFO: Iter: 2000; Elasped: 0:19:27; ETA: 2:55:03; LR: 5.457e-05; cls_loss: 0.1063, cls_loss_aux: 0.1528, ptc_loss: 0.1816, ctc_loss: 1.1748, seg_loss: 3.0221...
2022-11-04 02:10:15,855 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 02:13:18,480 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.775744
2022-11-04 02:13:18,480 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 73.144 | 78.935 | 0.728 |
+--------------+--------+---------+----------+
| aeroplane | 51.804 | 61.902 | 0 |
+--------------+--------+---------+----------+
| bicycle | 23.912 | 45.991 | 0 |
+--------------+--------+---------+----------+
| bird | 30.471 | 48.429 | 0 |
+--------------+--------+---------+----------+
| boat | 33.073 | 32.100 | 0.082 |
+--------------+--------+---------+----------+
| bottle | 43.829 | 39.598 | 0 |
+--------------+--------+---------+----------+
| bus | 61.218 | 55.969 | 0.294 |
+--------------+--------+---------+----------+
| car | 45.591 | 49.445 | 0.001 |
+--------------+--------+---------+----------+
| cat | 42.493 | 30.159 | 0.190 |
+--------------+--------+---------+----------+
| chair | 21.824 | 21.560 | 0.315 |
+--------------+--------+---------+----------+
| cow | 46.535 | 14.608 | 0.009 |
+--------------+--------+---------+----------+
| diningtable | 22.177 | 14.421 | 0.181 |
+--------------+--------+---------+----------+
| dog | 42.883 | 38.349 | 1.843 |
+--------------+--------+---------+----------+
| horse | 49.073 | 42.541 | 0.001 |
+--------------+--------+---------+----------+
| motorbike | 50.987 | 57.835 | 4.180 |
+--------------+--------+---------+----------+
| person | 38.539 | 31.457 | 0.338 |
+--------------+--------+---------+----------+
| pottedplant | 33.685 | 44.184 | 0.025 |
+--------------+--------+---------+----------+
| sheep | 39.385 | 35.597 | 0.187 |
+--------------+--------+---------+----------+
| sofa | 24.992 | 27.796 | 0.005 |
+--------------+--------+---------+----------+
| train | 50.351 | 47.490 | 0 |
+--------------+--------+---------+----------+
| tvmonitor | 18.636 | 27.053 | 0.132 |
+--------------+--------+---------+----------+
| mIoU | 40.219 | 40.258 | 0.405 |
+--------------+--------+---------+----------+
2022-11-04 02:15:12,948 - dist_train_voc_seg_neg.py - INFO: Iter: 2200; Elasped: 0:24:24; ETA: 3:17:25; LR: 5.403e-05; cls_loss: 0.1085, cls_loss_aux: 0.1491, ptc_loss: 0.1665, ctc_loss: 1.0228, seg_loss: 1.2299...
2022-11-04 02:17:07,427 - dist_train_voc_seg_neg.py - INFO: Iter: 2400; Elasped: 0:26:19; ETA: 3:12:59; LR: 5.348e-05; cls_loss: 0.0982, cls_loss_aux: 0.1464, ptc_loss: 0.1668, ctc_loss: 0.9435, seg_loss: 0.6632...
2022-11-04 02:19:01,859 - dist_train_voc_seg_neg.py - INFO: Iter: 2600; Elasped: 0:28:13; ETA: 3:08:50; LR: 5.293e-05; cls_loss: 0.1039, cls_loss_aux: 0.1512, ptc_loss: 0.1755, ctc_loss: 0.8578, seg_loss: 0.5106...
2022-11-04 02:20:58,115 - dist_train_voc_seg_neg.py - INFO: Iter: 2800; Elasped: 0:30:10; ETA: 3:05:18; LR: 5.239e-05; cls_loss: 0.0875, cls_loss_aux: 0.1250, ptc_loss: 0.1672, ctc_loss: 0.8604, seg_loss: 0.4478...
2022-11-04 02:22:52,353 - dist_train_voc_seg_neg.py - INFO: Iter: 3000; Elasped: 0:32:04; ETA: 3:01:42; LR: 5.184e-05; cls_loss: 0.0851, cls_loss_aux: 0.1172, ptc_loss: 0.1627, ctc_loss: 0.9159, seg_loss: 0.4109...
2022-11-04 02:24:46,743 - dist_train_voc_seg_neg.py - INFO: Iter: 3200; Elasped: 0:33:58; ETA: 2:58:19; LR: 5.129e-05; cls_loss: 0.0977, cls_loss_aux: 0.1400, ptc_loss: 0.1781, ctc_loss: 0.9016, seg_loss: 0.4366...
2022-11-04 02:26:41,007 - dist_train_voc_seg_neg.py - INFO: Iter: 3400; Elasped: 0:35:53; ETA: 2:55:11; LR: 5.074e-05; cls_loss: 0.0889, cls_loss_aux: 0.1282, ptc_loss: 0.1827, ctc_loss: 0.8620, seg_loss: 0.3546...
2022-11-04 02:28:35,240 - dist_train_voc_seg_neg.py - INFO: Iter: 3600; Elasped: 0:37:47; ETA: 2:52:07; LR: 5.019e-05; cls_loss: 0.0848, cls_loss_aux: 0.1217, ptc_loss: 0.1698, ctc_loss: 0.8375, seg_loss: 0.4286...
2022-11-04 02:30:29,436 - dist_train_voc_seg_neg.py - INFO: Iter: 3800; Elasped: 0:39:41; ETA: 2:49:10; LR: 4.964e-05; cls_loss: 0.0843, cls_loss_aux: 0.1227, ptc_loss: 0.1749, ctc_loss: 0.7975, seg_loss: 0.3604...
2022-11-04 02:32:23,714 - dist_train_voc_seg_neg.py - INFO: Iter: 4000; Elasped: 0:41:35; ETA: 2:46:20; LR: 4.909e-05; cls_loss: 0.0898, cls_loss_aux: 0.1266, ptc_loss: 0.1890, ctc_loss: 0.7854, seg_loss: 0.4007...
2022-11-04 02:32:23,715 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 02:35:26,400 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.851441
2022-11-04 02:35:26,401 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 79.178 | 85.403 | 81.086 |
+--------------+--------+---------+----------+
| aeroplane | 58.409 | 74.871 | 57.735 |
+--------------+--------+---------+----------+
| bicycle | 27.045 | 47.133 | 26.169 |
+--------------+--------+---------+----------+
| bird | 45.339 | 69.741 | 46.750 |
+--------------+--------+---------+----------+
| boat | 39.747 | 49.629 | 35.655 |
+--------------+--------+---------+----------+
| bottle | 51.215 | 52.410 | 55.340 |
+--------------+--------+---------+----------+
| bus | 71.899 | 71.301 | 72.698 |
+--------------+--------+---------+----------+
| car | 60.669 | 66.120 | 56.211 |
+--------------+--------+---------+----------+
| cat | 61.930 | 43.708 | 61.223 |
+--------------+--------+---------+----------+
| chair | 23.434 | 31.502 | 14.088 |
+--------------+--------+---------+----------+
| cow | 63.570 | 43.444 | 11.518 |
+--------------+--------+---------+----------+
| diningtable | 46.288 | 44.854 | 34.814 |
+--------------+--------+---------+----------+
| dog | 58.275 | 70.941 | 45.539 |
+--------------+--------+---------+----------+
| horse | 64.942 | 73.212 | 45.000 |
+--------------+--------+---------+----------+
| motorbike | 64.234 | 64.612 | 62.131 |
+--------------+--------+---------+----------+
| person | 61.971 | 60.209 | 59.641 |
+--------------+--------+---------+----------+
| pottedplant | 34.050 | 52.342 | 37.448 |
+--------------+--------+---------+----------+
| sheep | 71.573 | 61.358 | 47.960 |
+--------------+--------+---------+----------+
| sofa | 39.305 | 48.235 | 23.764 |
+--------------+--------+---------+----------+
| train | 58.336 | 59.018 | 55.598 |
+--------------+--------+---------+----------+
| tvmonitor | 31.399 | 43.835 | 26.148 |
+--------------+--------+---------+----------+
| mIoU | 52.991 | 57.804 | 45.548 |
+--------------+--------+---------+----------+
2022-11-04 02:37:20,685 - dist_train_voc_seg_neg.py - INFO: Iter: 4200; Elasped: 0:46:32; ETA: 2:55:03; LR: 4.853e-05; cls_loss: 0.0784, cls_loss_aux: 0.1064, ptc_loss: 0.1508, ctc_loss: 0.8662, seg_loss: 0.3853...
2022-11-04 02:39:15,009 - dist_train_voc_seg_neg.py - INFO: Iter: 4400; Elasped: 0:48:27; ETA: 2:51:46; LR: 4.798e-05; cls_loss: 0.0819, cls_loss_aux: 0.1110, ptc_loss: 0.1760, ctc_loss: 0.8034, seg_loss: 0.2945...
2022-11-04 02:41:09,326 - dist_train_voc_seg_neg.py - INFO: Iter: 4600; Elasped: 0:50:21; ETA: 2:48:33; LR: 4.743e-05; cls_loss: 0.0863, cls_loss_aux: 0.1138, ptc_loss: 0.1627, ctc_loss: 0.7265, seg_loss: 0.3789...
2022-11-04 02:43:03,502 - dist_train_voc_seg_neg.py - INFO: Iter: 4800; Elasped: 0:52:15; ETA: 2:45:27; LR: 4.687e-05; cls_loss: 0.0768, cls_loss_aux: 0.1033, ptc_loss: 0.1593, ctc_loss: 0.7971, seg_loss: 0.2821...
2022-11-04 02:44:57,758 - dist_train_voc_seg_neg.py - INFO: Iter: 5000; Elasped: 0:54:09; ETA: 2:42:27; LR: 4.632e-05; cls_loss: 0.0893, cls_loss_aux: 0.1194, ptc_loss: 0.1701, ctc_loss: 0.7372, seg_loss: 0.3438...
2022-11-04 02:46:51,901 - dist_train_voc_seg_neg.py - INFO: Iter: 5200; Elasped: 0:56:03; ETA: 2:39:31; LR: 4.576e-05; cls_loss: 0.0825, cls_loss_aux: 0.1060, ptc_loss: 0.1756, ctc_loss: 0.7644, seg_loss: 0.2639...
2022-11-04 02:48:48,186 - dist_train_voc_seg_neg.py - INFO: Iter: 5400; Elasped: 0:58:00; ETA: 2:36:48; LR: 4.520e-05; cls_loss: 0.0803, cls_loss_aux: 0.1089, ptc_loss: 0.1633, ctc_loss: 0.6623, seg_loss: 0.3530...
2022-11-04 02:50:43,140 - dist_train_voc_seg_neg.py - INFO: Iter: 5600; Elasped: 0:59:55; ETA: 2:34:04; LR: 4.465e-05; cls_loss: 0.0838, cls_loss_aux: 0.0996, ptc_loss: 0.1604, ctc_loss: 0.7086, seg_loss: 0.2968...
2022-11-04 02:52:38,011 - dist_train_voc_seg_neg.py - INFO: Iter: 5800; Elasped: 1:01:50; ETA: 2:31:23; LR: 4.409e-05; cls_loss: 0.0759, cls_loss_aux: 0.1007, ptc_loss: 0.1749, ctc_loss: 0.7039, seg_loss: 0.2798...
2022-11-04 02:54:33,169 - dist_train_voc_seg_neg.py - INFO: Iter: 6000; Elasped: 1:03:45; ETA: 2:28:45; LR: 4.353e-05; cls_loss: 0.0772, cls_loss_aux: 0.0987, ptc_loss: 0.1588, ctc_loss: 0.7453, seg_loss: 0.2655...
2022-11-04 02:54:33,170 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 02:57:36,410 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.883738
2022-11-04 02:57:36,411 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 85.235 | 86.554 | 85.383 |
+--------------+--------+---------+----------+
| aeroplane | 75.352 | 72.112 | 73.923 |
+--------------+--------+---------+----------+
| bicycle | 31.236 | 41.203 | 29.597 |
+--------------+--------+---------+----------+
| bird | 56.027 | 65.751 | 64.313 |
+--------------+--------+---------+----------+
| boat | 44.083 | 55.692 | 40.849 |
+--------------+--------+---------+----------+
| bottle | 58.865 | 57.146 | 60.900 |
+--------------+--------+---------+----------+
| bus | 74.422 | 74.322 | 73.215 |
+--------------+--------+---------+----------+
| car | 68.730 | 63.249 | 65.826 |
+--------------+--------+---------+----------+
| cat | 81.494 | 50.624 | 79.078 |
+--------------+--------+---------+----------+
| chair | 33.901 | 36.022 | 18.848 |
+--------------+--------+---------+----------+
| cow | 78.287 | 52.357 | 70.955 |
+--------------+--------+---------+----------+
| diningtable | 52.448 | 49.299 | 48.114 |
+--------------+--------+---------+----------+
| dog | 73.825 | 64.837 | 68.818 |
+--------------+--------+---------+----------+
| horse | 76.364 | 67.596 | 74.263 |
+--------------+--------+---------+----------+
| motorbike | 70.365 | 73.146 | 70.802 |
+--------------+--------+---------+----------+
| person | 73.354 | 73.521 | 73.687 |
+--------------+--------+---------+----------+
| pottedplant | 48.083 | 53.323 | 44.976 |
+--------------+--------+---------+----------+
| sheep | 72.302 | 71.846 | 69.794 |
+--------------+--------+---------+----------+
| sofa | 48.049 | 61.949 | 34.618 |
+--------------+--------+---------+----------+
| train | 55.791 | 49.785 | 50.197 |
+--------------+--------+---------+----------+
| tvmonitor | 39.865 | 56.907 | 37.709 |
+--------------+--------+---------+----------+
| mIoU | 61.813 | 60.821 | 58.851 |
+--------------+--------+---------+----------+
2022-11-04 02:59:31,697 - dist_train_voc_seg_neg.py - INFO: Iter: 6200; Elasped: 1:08:43; ETA: 2:32:57; LR: 4.297e-05; cls_loss: 0.0819, cls_loss_aux: 0.1071, ptc_loss: 0.1381, ctc_loss: 0.7307, seg_loss: 0.2780...
2022-11-04 03:01:26,647 - dist_train_voc_seg_neg.py - INFO: Iter: 6400; Elasped: 1:10:38; ETA: 2:30:05; LR: 4.241e-05; cls_loss: 0.0798, cls_loss_aux: 0.0984, ptc_loss: 0.1570, ctc_loss: 0.7151, seg_loss: 0.2680...
2022-11-04 03:03:21,863 - dist_train_voc_seg_neg.py - INFO: Iter: 6600; Elasped: 1:12:33; ETA: 2:27:17; LR: 4.185e-05; cls_loss: 0.0753, cls_loss_aux: 0.0939, ptc_loss: 0.1526, ctc_loss: 0.7812, seg_loss: 0.2312...
2022-11-04 03:05:17,134 - dist_train_voc_seg_neg.py - INFO: Iter: 6800; Elasped: 1:14:29; ETA: 2:24:35; LR: 4.128e-05; cls_loss: 0.0739, cls_loss_aux: 0.0950, ptc_loss: 0.1592, ctc_loss: 0.7290, seg_loss: 0.2402...
2022-11-04 03:07:12,161 - dist_train_voc_seg_neg.py - INFO: Iter: 7000; Elasped: 1:16:24; ETA: 2:21:53; LR: 4.072e-05; cls_loss: 0.0736, cls_loss_aux: 0.0981, ptc_loss: 0.1559, ctc_loss: 0.7338, seg_loss: 0.2395...
2022-11-04 03:09:07,090 - dist_train_voc_seg_neg.py - INFO: Iter: 7200; Elasped: 1:18:19; ETA: 2:19:13; LR: 4.016e-05; cls_loss: 0.0709, cls_loss_aux: 0.0892, ptc_loss: 0.1418, ctc_loss: 0.7835, seg_loss: 0.2117...
2022-11-04 03:11:01,842 - dist_train_voc_seg_neg.py - INFO: Iter: 7400; Elasped: 1:20:13; ETA: 2:16:35; LR: 3.959e-05; cls_loss: 0.0678, cls_loss_aux: 0.0880, ptc_loss: 0.1598, ctc_loss: 0.7266, seg_loss: 0.2202...
2022-11-04 03:12:56,621 - dist_train_voc_seg_neg.py - INFO: Iter: 7600; Elasped: 1:22:08; ETA: 2:14:00; LR: 3.902e-05; cls_loss: 0.0684, cls_loss_aux: 0.0850, ptc_loss: 0.1259, ctc_loss: 0.6824, seg_loss: 0.2538...
2022-11-04 03:14:51,243 - dist_train_voc_seg_neg.py - INFO: Iter: 7800; Elasped: 1:24:03; ETA: 2:11:27; LR: 3.846e-05; cls_loss: 0.0746, cls_loss_aux: 0.0889, ptc_loss: 0.1435, ctc_loss: 0.6508, seg_loss: 0.2529...
2022-11-04 03:16:47,933 - dist_train_voc_seg_neg.py - INFO: Iter: 8000; Elasped: 1:25:59; ETA: 2:08:58; LR: 3.789e-05; cls_loss: 0.0620, cls_loss_aux: 0.0759, ptc_loss: 0.1352, ctc_loss: 0.6781, seg_loss: 0.2197...
2022-11-04 03:16:47,934 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 03:19:53,302 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.895450
2022-11-04 03:19:53,303 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 85.820 | 86.071 | 85.635 |
+--------------+--------+---------+----------+
| aeroplane | 74.142 | 72.288 | 70.655 |
+--------------+--------+---------+----------+
| bicycle | 33.182 | 40.983 | 29.563 |
+--------------+--------+---------+----------+
| bird | 56.267 | 70.499 | 63.818 |
+--------------+--------+---------+----------+
| boat | 52.010 | 51.820 | 48.080 |
+--------------+--------+---------+----------+
| bottle | 64.498 | 55.705 | 59.480 |
+--------------+--------+---------+----------+
| bus | 78.647 | 76.093 | 76.238 |
+--------------+--------+---------+----------+
| car | 74.702 | 69.932 | 72.754 |
+--------------+--------+---------+----------+
| cat | 81.920 | 53.011 | 83.744 |
+--------------+--------+---------+----------+
| chair | 31.125 | 32.882 | 18.820 |
+--------------+--------+---------+----------+
| cow | 83.479 | 60.897 | 76.663 |
+--------------+--------+---------+----------+
| diningtable | 53.292 | 50.780 | 47.119 |
+--------------+--------+---------+----------+
| dog | 80.232 | 73.755 | 77.911 |
+--------------+--------+---------+----------+
| horse | 82.018 | 65.863 | 78.521 |
+--------------+--------+---------+----------+
| motorbike | 75.640 | 72.518 | 72.597 |
+--------------+--------+---------+----------+
| person | 55.882 | 53.048 | 46.460 |
+--------------+--------+---------+----------+
| pottedplant | 51.140 | 60.001 | 42.128 |
+--------------+--------+---------+----------+
| sheep | 81.921 | 63.814 | 77.274 |
+--------------+--------+---------+----------+
| sofa | 48.087 | 65.597 | 33.856 |
+--------------+--------+---------+----------+
| train | 57.147 | 51.310 | 55.349 |
+--------------+--------+---------+----------+
| tvmonitor | 42.996 | 57.873 | 41.957 |
+--------------+--------+---------+----------+
| mIoU | 64.007 | 61.178 | 59.934 |
+--------------+--------+---------+----------+
2022-11-04 03:21:48,130 - dist_train_voc_seg_neg.py - INFO: Iter: 8200; Elasped: 1:31:00; ETA: 2:10:57; LR: 3.732e-05; cls_loss: 0.0596, cls_loss_aux: 0.0747, ptc_loss: 0.1167, ctc_loss: 0.6539, seg_loss: 0.1848...
2022-11-04 03:23:43,025 - dist_train_voc_seg_neg.py - INFO: Iter: 8400; Elasped: 1:32:55; ETA: 2:08:18; LR: 3.675e-05; cls_loss: 0.0605, cls_loss_aux: 0.0767, ptc_loss: 0.1346, ctc_loss: 0.6147, seg_loss: 0.2066...
2022-11-04 03:25:37,520 - dist_train_voc_seg_neg.py - INFO: Iter: 8600; Elasped: 1:34:49; ETA: 2:05:41; LR: 3.618e-05; cls_loss: 0.0665, cls_loss_aux: 0.0832, ptc_loss: 0.1451, ctc_loss: 0.5911, seg_loss: 0.2296...
2022-11-04 03:27:32,206 - dist_train_voc_seg_neg.py - INFO: Iter: 8800; Elasped: 1:36:44; ETA: 2:03:06; LR: 3.561e-05; cls_loss: 0.0640, cls_loss_aux: 0.0803, ptc_loss: 0.1307, ctc_loss: 0.6358, seg_loss: 0.2083...
2022-11-04 03:29:26,640 - dist_train_voc_seg_neg.py - INFO: Iter: 9000; Elasped: 1:38:38; ETA: 2:00:33; LR: 3.504e-05; cls_loss: 0.0721, cls_loss_aux: 0.0868, ptc_loss: 0.1512, ctc_loss: 0.7019, seg_loss: 0.2006...
2022-11-04 03:31:21,228 - dist_train_voc_seg_neg.py - INFO: Iter: 9200; Elasped: 1:40:33; ETA: 1:58:02; LR: 3.446e-05; cls_loss: 0.0663, cls_loss_aux: 0.0780, ptc_loss: 0.1489, ctc_loss: 0.7033, seg_loss: 0.1974...
2022-11-04 03:33:15,669 - dist_train_voc_seg_neg.py - INFO: Iter: 9400; Elasped: 1:42:27; ETA: 1:55:31; LR: 3.389e-05; cls_loss: 0.0558, cls_loss_aux: 0.0658, ptc_loss: 0.1393, ctc_loss: 0.7330, seg_loss: 0.1951...
2022-11-04 03:35:10,224 - dist_train_voc_seg_neg.py - INFO: Iter: 9600; Elasped: 1:44:22; ETA: 1:53:03; LR: 3.331e-05; cls_loss: 0.0643, cls_loss_aux: 0.0730, ptc_loss: 0.1252, ctc_loss: 0.6679, seg_loss: 0.1831...
2022-11-04 03:37:04,869 - dist_train_voc_seg_neg.py - INFO: Iter: 9800; Elasped: 1:46:16; ETA: 1:50:36; LR: 3.273e-05; cls_loss: 0.0651, cls_loss_aux: 0.0769, ptc_loss: 0.1554, ctc_loss: 0.7263, seg_loss: 0.2248...
2022-11-04 03:38:59,309 - dist_train_voc_seg_neg.py - INFO: Iter: 10000; Elasped: 1:48:11; ETA: 1:48:11; LR: 3.216e-05; cls_loss: 0.0626, cls_loss_aux: 0.0730, ptc_loss: 0.1502, ctc_loss: 0.7577, seg_loss: 0.1814...
2022-11-04 03:38:59,309 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 03:42:03,395 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.886132
2022-11-04 03:42:03,395 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 86.763 | 86.308 | 86.605 |
+--------------+--------+---------+----------+
| aeroplane | 77.875 | 78.188 | 76.858 |
+--------------+--------+---------+----------+
| bicycle | 34.526 | 39.754 | 31.379 |
+--------------+--------+---------+----------+
| bird | 57.948 | 74.021 | 65.694 |
+--------------+--------+---------+----------+
| boat | 50.102 | 54.571 | 44.056 |
+--------------+--------+---------+----------+
| bottle | 62.694 | 52.283 | 67.016 |
+--------------+--------+---------+----------+
| bus | 78.604 | 70.136 | 77.232 |
+--------------+--------+---------+----------+
| car | 77.098 | 68.070 | 71.288 |
+--------------+--------+---------+----------+
| cat | 86.033 | 58.224 | 85.383 |
+--------------+--------+---------+----------+
| chair | 33.881 | 35.082 | 17.944 |
+--------------+--------+---------+----------+
| cow | 86.768 | 69.667 | 67.826 |
+--------------+--------+---------+----------+
| diningtable | 56.069 | 47.692 | 44.347 |
+--------------+--------+---------+----------+
| dog | 81.304 | 64.742 | 76.917 |
+--------------+--------+---------+----------+
| horse | 76.666 | 53.664 | 61.568 |
+--------------+--------+---------+----------+
| motorbike | 78.570 | 68.048 | 75.777 |
+--------------+--------+---------+----------+
| person | 65.588 | 65.202 | 65.802 |
+--------------+--------+---------+----------+
| pottedplant | 47.543 | 51.545 | 50.529 |
+--------------+--------+---------+----------+
| sheep | 83.101 | 58.769 | 80.291 |
+--------------+--------+---------+----------+
| sofa | 46.540 | 64.343 | 32.248 |
+--------------+--------+---------+----------+
| train | 60.058 | 52.423 | 57.236 |
+--------------+--------+---------+----------+
| tvmonitor | 43.401 | 59.716 | 39.034 |
+--------------+--------+---------+----------+
| mIoU | 65.292 | 60.593 | 60.716 |
+--------------+--------+---------+----------+
2022-11-04 03:43:57,756 - dist_train_voc_seg_neg.py - INFO: Iter: 10200; Elasped: 1:53:09; ETA: 1:48:42; LR: 3.158e-05; cls_loss: 0.0615, cls_loss_aux: 0.0760, ptc_loss: 0.1104, ctc_loss: 0.7210, seg_loss: 0.1639...
2022-11-04 03:45:52,128 - dist_train_voc_seg_neg.py - INFO: Iter: 10400; Elasped: 1:55:04; ETA: 1:46:12; LR: 3.100e-05; cls_loss: 0.0642, cls_loss_aux: 0.0746, ptc_loss: 0.1421, ctc_loss: 0.6625, seg_loss: 0.1793...
2022-11-04 03:47:48,145 - dist_train_voc_seg_neg.py - INFO: Iter: 10600; Elasped: 1:57:00; ETA: 1:43:45; LR: 3.041e-05; cls_loss: 0.0666, cls_loss_aux: 0.0798, ptc_loss: 0.1388, ctc_loss: 0.6637, seg_loss: 0.2329...
2022-11-04 03:49:42,851 - dist_train_voc_seg_neg.py - INFO: Iter: 10800; Elasped: 1:58:54; ETA: 1:41:17; LR: 2.983e-05; cls_loss: 0.0669, cls_loss_aux: 0.0771, ptc_loss: 0.1247, ctc_loss: 0.6602, seg_loss: 0.1620...
2022-11-04 03:51:37,246 - dist_train_voc_seg_neg.py - INFO: Iter: 11000; Elasped: 2:00:49; ETA: 1:38:51; LR: 2.925e-05; cls_loss: 0.0528, cls_loss_aux: 0.0613, ptc_loss: 0.1446, ctc_loss: 0.7296, seg_loss: 0.1423...
2022-11-04 03:53:31,814 - dist_train_voc_seg_neg.py - INFO: Iter: 11200; Elasped: 2:02:43; ETA: 1:36:25; LR: 2.866e-05; cls_loss: 0.0468, cls_loss_aux: 0.0501, ptc_loss: 0.1213, ctc_loss: 0.7435, seg_loss: 0.1784...
2022-11-04 03:55:26,028 - dist_train_voc_seg_neg.py - INFO: Iter: 11400; Elasped: 2:04:38; ETA: 1:34:01; LR: 2.807e-05; cls_loss: 0.0528, cls_loss_aux: 0.0564, ptc_loss: 0.1232, ctc_loss: 0.6642, seg_loss: 0.1452...
2022-11-04 03:57:20,485 - dist_train_voc_seg_neg.py - INFO: Iter: 11600; Elasped: 2:06:32; ETA: 1:31:37; LR: 2.749e-05; cls_loss: 0.0531, cls_loss_aux: 0.0600, ptc_loss: 0.1394, ctc_loss: 0.6293, seg_loss: 0.1486...
2022-11-04 03:59:14,850 - dist_train_voc_seg_neg.py - INFO: Iter: 11800; Elasped: 2:08:26; ETA: 1:29:15; LR: 2.690e-05; cls_loss: 0.0651, cls_loss_aux: 0.0726, ptc_loss: 0.1437, ctc_loss: 0.6462, seg_loss: 0.1945...
2022-11-04 04:01:09,184 - dist_train_voc_seg_neg.py - INFO: Iter: 12000; Elasped: 2:10:21; ETA: 1:26:54; LR: 2.631e-05; cls_loss: 0.0525, cls_loss_aux: 0.0609, ptc_loss: 0.1497, ctc_loss: 0.7224, seg_loss: 0.1293...
2022-11-04 04:01:09,184 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 04:04:13,231 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.902504
2022-11-04 04:04:13,232 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 89.153 | 86.537 | 88.831 |
+--------------+--------+---------+----------+
| aeroplane | 79.048 | 78.984 | 75.270 |
+--------------+--------+---------+----------+
| bicycle | 36.383 | 34.904 | 36.642 |
+--------------+--------+---------+----------+
| bird | 55.936 | 70.215 | 62.855 |
+--------------+--------+---------+----------+
| boat | 58.384 | 52.660 | 60.952 |
+--------------+--------+---------+----------+
| bottle | 61.783 | 56.386 | 64.361 |
+--------------+--------+---------+----------+
| bus | 84.020 | 71.904 | 81.702 |
+--------------+--------+---------+----------+
| car | 80.566 | 67.647 | 79.997 |
+--------------+--------+---------+----------+
| cat | 84.067 | 55.413 | 87.144 |
+--------------+--------+---------+----------+
| chair | 41.830 | 36.977 | 23.258 |
+--------------+--------+---------+----------+
| cow | 86.801 | 62.111 | 77.407 |
+--------------+--------+---------+----------+
| diningtable | 61.115 | 49.911 | 53.088 |
+--------------+--------+---------+----------+
| dog | 85.695 | 76.368 | 83.182 |
+--------------+--------+---------+----------+
| horse | 78.317 | 57.049 | 73.626 |
+--------------+--------+---------+----------+
| motorbike | 78.432 | 67.045 | 74.736 |
+--------------+--------+---------+----------+
| person | 68.119 | 64.383 | 66.849 |
+--------------+--------+---------+----------+
| pottedplant | 58.018 | 63.974 | 55.419 |
+--------------+--------+---------+----------+
| sheep | 84.756 | 60.315 | 81.922 |
+--------------+--------+---------+----------+
| sofa | 57.209 | 59.321 | 41.505 |
+--------------+--------+---------+----------+
| train | 61.540 | 55.035 | 58.395 |
+--------------+--------+---------+----------+
| tvmonitor | 58.734 | 62.041 | 55.238 |
+--------------+--------+---------+----------+
| mIoU | 69.043 | 61.389 | 65.828 |
+--------------+--------+---------+----------+
2022-11-04 04:06:07,556 - dist_train_voc_seg_neg.py - INFO: Iter: 12200; Elasped: 2:15:19; ETA: 1:26:30; LR: 2.571e-05; cls_loss: 0.0581, cls_loss_aux: 0.0646, ptc_loss: 0.1468, ctc_loss: 0.6601, seg_loss: 0.1714...
2022-11-04 04:08:01,856 - dist_train_voc_seg_neg.py - INFO: Iter: 12400; Elasped: 2:17:13; ETA: 1:24:06; LR: 2.512e-05; cls_loss: 0.0507, cls_loss_aux: 0.0550, ptc_loss: 0.1387, ctc_loss: 0.6428, seg_loss: 0.1695...
2022-11-04 04:09:55,941 - dist_train_voc_seg_neg.py - INFO: Iter: 12600; Elasped: 2:19:07; ETA: 1:21:42; LR: 2.452e-05; cls_loss: 0.0513, cls_loss_aux: 0.0587, ptc_loss: 0.1098, ctc_loss: 0.7369, seg_loss: 0.1490...
2022-11-04 04:11:50,318 - dist_train_voc_seg_neg.py - INFO: Iter: 12800; Elasped: 2:21:02; ETA: 1:19:19; LR: 2.393e-05; cls_loss: 0.0488, cls_loss_aux: 0.0522, ptc_loss: 0.1264, ctc_loss: 0.6659, seg_loss: 0.1482...
2022-11-04 04:13:44,633 - dist_train_voc_seg_neg.py - INFO: Iter: 13000; Elasped: 2:22:56; ETA: 1:16:57; LR: 2.333e-05; cls_loss: 0.0593, cls_loss_aux: 0.0668, ptc_loss: 0.1483, ctc_loss: 0.6780, seg_loss: 0.2157...
2022-11-04 04:15:39,137 - dist_train_voc_seg_neg.py - INFO: Iter: 13200; Elasped: 2:24:51; ETA: 1:14:37; LR: 2.273e-05; cls_loss: 0.0521, cls_loss_aux: 0.0613, ptc_loss: 0.1162, ctc_loss: 0.6285, seg_loss: 0.1512...
2022-11-04 04:17:35,299 - dist_train_voc_seg_neg.py - INFO: Iter: 13400; Elasped: 2:26:47; ETA: 1:12:17; LR: 2.212e-05; cls_loss: 0.0493, cls_loss_aux: 0.0516, ptc_loss: 0.1160, ctc_loss: 0.6521, seg_loss: 0.1280...
2022-11-04 04:19:29,589 - dist_train_voc_seg_neg.py - INFO: Iter: 13600; Elasped: 2:28:41; ETA: 1:09:58; LR: 2.152e-05; cls_loss: 0.0484, cls_loss_aux: 0.0485, ptc_loss: 0.1193, ctc_loss: 0.6960, seg_loss: 0.1473...
2022-11-04 04:21:23,752 - dist_train_voc_seg_neg.py - INFO: Iter: 13800; Elasped: 2:30:35; ETA: 1:07:39; LR: 2.091e-05; cls_loss: 0.0537, cls_loss_aux: 0.0615, ptc_loss: 0.1438, ctc_loss: 0.6579, seg_loss: 0.1325...
2022-11-04 04:23:17,952 - dist_train_voc_seg_neg.py - INFO: Iter: 14000; Elasped: 2:32:29; ETA: 1:05:21; LR: 2.031e-05; cls_loss: 0.0456, cls_loss_aux: 0.0496, ptc_loss: 0.1272, ctc_loss: 0.7252, seg_loss: 0.1319...
2022-11-04 04:23:17,952 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 04:26:22,038 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.902825
2022-11-04 04:26:22,039 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 88.596 | 86.454 | 88.264 |
+--------------+--------+---------+----------+
| aeroplane | 79.436 | 79.465 | 80.102 |
+--------------+--------+---------+----------+
| bicycle | 33.391 | 37.823 | 31.088 |
+--------------+--------+---------+----------+
| bird | 55.205 | 64.459 | 62.769 |
+--------------+--------+---------+----------+
| boat | 57.007 | 55.824 | 58.526 |
+--------------+--------+---------+----------+
| bottle | 68.828 | 53.173 | 70.961 |
+--------------+--------+---------+----------+
| bus | 82.802 | 65.555 | 80.887 |
+--------------+--------+---------+----------+
| car | 79.999 | 69.530 | 78.640 |
+--------------+--------+---------+----------+
| cat | 84.189 | 55.320 | 86.088 |
+--------------+--------+---------+----------+
| chair | 37.950 | 36.758 | 21.864 |
+--------------+--------+---------+----------+
| cow | 82.688 | 51.822 | 76.532 |
+--------------+--------+---------+----------+
| diningtable | 58.619 | 50.511 | 53.899 |
+--------------+--------+---------+----------+
| dog | 86.713 | 78.985 | 82.384 |
+--------------+--------+---------+----------+
| horse | 78.725 | 61.662 | 79.095 |
+--------------+--------+---------+----------+
| motorbike | 77.216 | 67.911 | 71.075 |
+--------------+--------+---------+----------+
| person | 70.870 | 69.127 | 68.855 |
+--------------+--------+---------+----------+
| pottedplant | 61.133 | 60.062 | 56.491 |
+--------------+--------+---------+----------+
| sheep | 82.508 | 54.886 | 77.258 |
+--------------+--------+---------+----------+
| sofa | 51.228 | 63.540 | 39.605 |
+--------------+--------+---------+----------+
| train | 59.752 | 48.727 | 56.558 |
+--------------+--------+---------+----------+
| tvmonitor | 63.321 | 62.342 | 60.939 |
+--------------+--------+---------+----------+
| mIoU | 68.580 | 60.664 | 65.804 |
+--------------+--------+---------+----------+
2022-11-04 04:28:16,199 - dist_train_voc_seg_neg.py - INFO: Iter: 14200; Elasped: 2:37:28; ETA: 1:04:19; LR: 1.970e-05; cls_loss: 0.0544, cls_loss_aux: 0.0596, ptc_loss: 0.1181, ctc_loss: 0.6396, seg_loss: 0.1311...
2022-11-04 04:30:10,279 - dist_train_voc_seg_neg.py - INFO: Iter: 14400; Elasped: 2:39:22; ETA: 1:01:58; LR: 1.908e-05; cls_loss: 0.0537, cls_loss_aux: 0.0575, ptc_loss: 0.1162, ctc_loss: 0.6933, seg_loss: 0.1313...
2022-11-04 04:32:04,452 - dist_train_voc_seg_neg.py - INFO: Iter: 14600; Elasped: 2:41:16; ETA: 0:59:38; LR: 1.847e-05; cls_loss: 0.0507, cls_loss_aux: 0.0548, ptc_loss: 0.1228, ctc_loss: 0.6807, seg_loss: 0.1277...
2022-11-04 04:33:58,578 - dist_train_voc_seg_neg.py - INFO: Iter: 14800; Elasped: 2:43:10; ETA: 0:57:19; LR: 1.785e-05; cls_loss: 0.0478, cls_loss_aux: 0.0475, ptc_loss: 0.1261, ctc_loss: 0.6824, seg_loss: 0.1389...
2022-11-04 04:35:52,789 - dist_train_voc_seg_neg.py - INFO: Iter: 15000; Elasped: 2:45:04; ETA: 0:55:01; LR: 1.723e-05; cls_loss: 0.0494, cls_loss_aux: 0.0545, ptc_loss: 0.1171, ctc_loss: 0.7057, seg_loss: 0.1443...
2022-11-04 04:37:47,074 - dist_train_voc_seg_neg.py - INFO: Iter: 15200; Elasped: 2:46:59; ETA: 0:52:43; LR: 1.661e-05; cls_loss: 0.0434, cls_loss_aux: 0.0484, ptc_loss: 0.1364, ctc_loss: 0.6787, seg_loss: 0.1143...
2022-11-04 04:39:41,326 - dist_train_voc_seg_neg.py - INFO: Iter: 15400; Elasped: 2:48:53; ETA: 0:50:26; LR: 1.599e-05; cls_loss: 0.0546, cls_loss_aux: 0.0563, ptc_loss: 0.1129, ctc_loss: 0.6309, seg_loss: 0.1504...
2022-11-04 04:41:35,424 - dist_train_voc_seg_neg.py - INFO: Iter: 15600; Elasped: 2:50:47; ETA: 0:48:10; LR: 1.536e-05; cls_loss: 0.0498, cls_loss_aux: 0.0499, ptc_loss: 0.1351, ctc_loss: 0.7074, seg_loss: 0.1260...
2022-11-04 04:43:29,692 - dist_train_voc_seg_neg.py - INFO: Iter: 15800; Elasped: 2:52:41; ETA: 0:45:54; LR: 1.473e-05; cls_loss: 0.0454, cls_loss_aux: 0.0492, ptc_loss: 0.1162, ctc_loss: 0.6623, seg_loss: 0.1009...
2022-11-04 04:45:25,870 - dist_train_voc_seg_neg.py - INFO: Iter: 16000; Elasped: 2:54:37; ETA: 0:43:39; LR: 1.410e-05; cls_loss: 0.0471, cls_loss_aux: 0.0484, ptc_loss: 0.1361, ctc_loss: 0.7182, seg_loss: 0.1384...
2022-11-04 04:45:25,871 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 04:48:29,448 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.914938
2022-11-04 04:48:29,448 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 89.500 | 86.591 | 89.334 |
+--------------+--------+---------+----------+
| aeroplane | 80.030 | 78.946 | 81.255 |
+--------------+--------+---------+----------+
| bicycle | 37.092 | 36.729 | 36.313 |
+--------------+--------+---------+----------+
| bird | 60.183 | 72.590 | 66.223 |
+--------------+--------+---------+----------+
| boat | 57.215 | 52.476 | 56.555 |
+--------------+--------+---------+----------+
| bottle | 69.211 | 54.728 | 73.215 |
+--------------+--------+---------+----------+
| bus | 85.543 | 73.261 | 84.028 |
+--------------+--------+---------+----------+
| car | 81.722 | 70.598 | 81.075 |
+--------------+--------+---------+----------+
| cat | 82.328 | 53.738 | 86.897 |
+--------------+--------+---------+----------+
| chair | 44.168 | 39.858 | 24.660 |
+--------------+--------+---------+----------+
| cow | 84.134 | 64.215 | 85.027 |
+--------------+--------+---------+----------+
| diningtable | 61.250 | 52.201 | 56.430 |
+--------------+--------+---------+----------+
| dog | 87.190 | 79.193 | 85.787 |
+--------------+--------+---------+----------+
| horse | 79.652 | 62.603 | 81.946 |
+--------------+--------+---------+----------+
| motorbike | 78.719 | 69.222 | 75.756 |
+--------------+--------+---------+----------+
| person | 65.899 | 61.609 | 61.912 |
+--------------+--------+---------+----------+
| pottedplant | 62.330 | 61.757 | 57.530 |
+--------------+--------+---------+----------+
| sheep | 83.048 | 54.071 | 80.641 |
+--------------+--------+---------+----------+
| sofa | 58.082 | 63.762 | 43.930 |
+--------------+--------+---------+----------+
| train | 58.138 | 49.088 | 56.479 |
+--------------+--------+---------+----------+
| tvmonitor | 63.863 | 63.399 | 62.901 |
+--------------+--------+---------+----------+
| mIoU | 69.966 | 61.935 | 67.995 |
+--------------+--------+---------+----------+
2022-11-04 04:50:24,176 - dist_train_voc_seg_neg.py - INFO: Iter: 16200; Elasped: 2:59:36; ETA: 0:42:07; LR: 1.346e-05; cls_loss: 0.0481, cls_loss_aux: 0.0505, ptc_loss: 0.1124, ctc_loss: 0.6289, seg_loss: 0.1484...
2022-11-04 04:52:18,817 - dist_train_voc_seg_neg.py - INFO: Iter: 16400; Elasped: 3:01:30; ETA: 0:39:50; LR: 1.282e-05; cls_loss: 0.0428, cls_loss_aux: 0.0461, ptc_loss: 0.1365, ctc_loss: 0.6857, seg_loss: 0.1092...
2022-11-04 04:54:13,278 - dist_train_voc_seg_neg.py - INFO: Iter: 16600; Elasped: 3:03:25; ETA: 0:37:34; LR: 1.218e-05; cls_loss: 0.0443, cls_loss_aux: 0.0464, ptc_loss: 0.1113, ctc_loss: 0.6108, seg_loss: 0.1145...
2022-11-04 04:56:07,647 - dist_train_voc_seg_neg.py - INFO: Iter: 16800; Elasped: 3:05:19; ETA: 0:35:17; LR: 1.153e-05; cls_loss: 0.0488, cls_loss_aux: 0.0492, ptc_loss: 0.1070, ctc_loss: 0.6623, seg_loss: 0.1372...
2022-11-04 04:58:02,072 - dist_train_voc_seg_neg.py - INFO: Iter: 17000; Elasped: 3:07:14; ETA: 0:33:02; LR: 1.088e-05; cls_loss: 0.0422, cls_loss_aux: 0.0438, ptc_loss: 0.1346, ctc_loss: 0.6424, seg_loss: 0.1190...
2022-11-04 04:59:56,419 - dist_train_voc_seg_neg.py - INFO: Iter: 17200; Elasped: 3:09:08; ETA: 0:30:47; LR: 1.023e-05; cls_loss: 0.0406, cls_loss_aux: 0.0409, ptc_loss: 0.1251, ctc_loss: 0.6321, seg_loss: 0.0978...
2022-11-04 05:01:50,974 - dist_train_voc_seg_neg.py - INFO: Iter: 17400; Elasped: 3:11:02; ETA: 0:28:32; LR: 9.569e-06; cls_loss: 0.0466, cls_loss_aux: 0.0450, ptc_loss: 0.1274, ctc_loss: 0.6824, seg_loss: 0.1126...
2022-11-04 05:03:45,367 - dist_train_voc_seg_neg.py - INFO: Iter: 17600; Elasped: 3:12:57; ETA: 0:26:18; LR: 8.904e-06; cls_loss: 0.0371, cls_loss_aux: 0.0382, ptc_loss: 0.1128, ctc_loss: 0.6831, seg_loss: 0.0910...
2022-11-04 05:05:39,741 - dist_train_voc_seg_neg.py - INFO: Iter: 17800; Elasped: 3:14:51; ETA: 0:24:04; LR: 8.233e-06; cls_loss: 0.0437, cls_loss_aux: 0.0409, ptc_loss: 0.1070, ctc_loss: 0.6651, seg_loss: 0.1199...
2022-11-04 05:07:34,213 - dist_train_voc_seg_neg.py - INFO: Iter: 18000; Elasped: 3:16:46; ETA: 0:21:51; LR: 7.557e-06; cls_loss: 0.0448, cls_loss_aux: 0.0460, ptc_loss: 0.1122, ctc_loss: 0.6433, seg_loss: 0.1326...
2022-11-04 05:07:34,214 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 05:10:38,105 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.911604
2022-11-04 05:10:38,105 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 89.161 | 86.423 | 88.885 |
+--------------+--------+---------+----------+
| aeroplane | 79.148 | 78.340 | 80.537 |
+--------------+--------+---------+----------+
| bicycle | 35.880 | 36.149 | 34.034 |
+--------------+--------+---------+----------+
| bird | 58.622 | 69.774 | 62.986 |
+--------------+--------+---------+----------+
| boat | 55.325 | 52.257 | 57.849 |
+--------------+--------+---------+----------+
| bottle | 70.793 | 55.551 | 73.898 |
+--------------+--------+---------+----------+
| bus | 84.867 | 69.718 | 83.253 |
+--------------+--------+---------+----------+
| car | 80.640 | 67.418 | 79.659 |
+--------------+--------+---------+----------+
| cat | 80.868 | 53.089 | 85.393 |
+--------------+--------+---------+----------+
| chair | 41.452 | 38.888 | 20.728 |
+--------------+--------+---------+----------+
| cow | 83.258 | 61.360 | 85.241 |
+--------------+--------+---------+----------+
| diningtable | 59.681 | 54.441 | 52.750 |
+--------------+--------+---------+----------+
| dog | 87.547 | 78.434 | 85.434 |
+--------------+--------+---------+----------+
| horse | 79.956 | 63.858 | 79.581 |
+--------------+--------+---------+----------+
| motorbike | 76.923 | 65.622 | 74.167 |
+--------------+--------+---------+----------+
| person | 70.437 | 63.078 | 66.134 |
+--------------+--------+---------+----------+
| pottedplant | 63.692 | 61.640 | 56.176 |
+--------------+--------+---------+----------+
| sheep | 82.768 | 59.393 | 81.420 |
+--------------+--------+---------+----------+
| sofa | 56.652 | 64.986 | 40.218 |
+--------------+--------+---------+----------+
| train | 57.139 | 47.914 | 55.395 |
+--------------+--------+---------+----------+
| tvmonitor | 63.219 | 62.285 | 61.950 |
+--------------+--------+---------+----------+
| mIoU | 69.430 | 61.458 | 66.937 |
+--------------+--------+---------+----------+
2022-11-04 05:12:32,453 - dist_train_voc_seg_neg.py - INFO: Iter: 18200; Elasped: 3:21:44; ETA: 0:19:57; LR: 6.874e-06; cls_loss: 0.0394, cls_loss_aux: 0.0394, ptc_loss: 0.1392, ctc_loss: 0.6796, seg_loss: 0.0951...
2022-11-04 05:14:26,735 - dist_train_voc_seg_neg.py - INFO: Iter: 18400; Elasped: 3:23:38; ETA: 0:17:42; LR: 6.183e-06; cls_loss: 0.0457, cls_loss_aux: 0.0456, ptc_loss: 0.1228, ctc_loss: 0.6834, seg_loss: 0.1398...
2022-11-04 05:16:23,027 - dist_train_voc_seg_neg.py - INFO: Iter: 18600; Elasped: 3:25:35; ETA: 0:15:28; LR: 5.483e-06; cls_loss: 0.0423, cls_loss_aux: 0.0417, ptc_loss: 0.1148, ctc_loss: 0.7361, seg_loss: 0.1233...
2022-11-04 05:18:17,395 - dist_train_voc_seg_neg.py - INFO: Iter: 18800; Elasped: 3:27:29; ETA: 0:13:14; LR: 4.773e-06; cls_loss: 0.0414, cls_loss_aux: 0.0406, ptc_loss: 0.1212, ctc_loss: 0.6679, seg_loss: 0.0979...
2022-11-04 05:20:11,572 - dist_train_voc_seg_neg.py - INFO: Iter: 19000; Elasped: 3:29:23; ETA: 0:11:01; LR: 4.051e-06; cls_loss: 0.0318, cls_loss_aux: 0.0297, ptc_loss: 0.1214, ctc_loss: 0.6558, seg_loss: 0.0838...
2022-11-04 05:22:05,889 - dist_train_voc_seg_neg.py - INFO: Iter: 19200; Elasped: 3:31:17; ETA: 0:08:48; LR: 3.315e-06; cls_loss: 0.0403, cls_loss_aux: 0.0407, ptc_loss: 0.0988, ctc_loss: 0.7177, seg_loss: 0.0967...
2022-11-04 05:24:00,153 - dist_train_voc_seg_neg.py - INFO: Iter: 19400; Elasped: 3:33:12; ETA: 0:06:35; LR: 2.560e-06; cls_loss: 0.0380, cls_loss_aux: 0.0393, ptc_loss: 0.1280, ctc_loss: 0.7195, seg_loss: 0.0951...
2022-11-04 05:25:54,364 - dist_train_voc_seg_neg.py - INFO: Iter: 19600; Elasped: 3:35:06; ETA: 0:04:23; LR: 1.779e-06; cls_loss: 0.0395, cls_loss_aux: 0.0376, ptc_loss: 0.1261, ctc_loss: 0.6990, seg_loss: 0.1196...
2022-11-04 05:27:48,543 - dist_train_voc_seg_neg.py - INFO: Iter: 19800; Elasped: 3:37:00; ETA: 0:02:11; LR: 9.552e-07; cls_loss: 0.0418, cls_loss_aux: 0.0391, ptc_loss: 0.1200, ctc_loss: 0.7046, seg_loss: 0.1011...
2022-11-04 05:29:42,823 - dist_train_voc_seg_neg.py - INFO: Iter: 20000; Elasped: 3:38:54; ETA: 0:00:00; LR: 8.077e-09; cls_loss: 0.0375, cls_loss_aux: 0.0349, ptc_loss: 0.1118, ctc_loss: 0.6756, seg_loss: 0.1238...
2022-11-04 05:29:42,824 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 05:32:46,653 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.914329
2022-11-04 05:32:46,655 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 89.675 | 86.913 | 89.339 |
+--------------+--------+---------+----------+
| aeroplane | 80.265 | 78.884 | 81.806 |
+--------------+--------+---------+----------+
| bicycle | 36.205 | 35.058 | 34.040 |
+--------------+--------+---------+----------+
| bird | 62.009 | 69.576 | 66.537 |
+--------------+--------+---------+----------+
| boat | 59.362 | 52.350 | 59.409 |
+--------------+--------+---------+----------+
| bottle | 73.181 | 58.843 | 73.669 |
+--------------+--------+---------+----------+
| bus | 84.877 | 70.376 | 83.178 |
+--------------+--------+---------+----------+
| car | 81.473 | 69.130 | 79.854 |
+--------------+--------+---------+----------+
| cat | 82.317 | 57.928 | 86.704 |
+--------------+--------+---------+----------+
| chair | 43.275 | 40.505 | 24.324 |
+--------------+--------+---------+----------+
| cow | 82.369 | 60.150 | 85.134 |
+--------------+--------+---------+----------+
| diningtable | 60.340 | 54.483 | 53.984 |
+--------------+--------+---------+----------+
| dog | 87.381 | 77.097 | 85.761 |
+--------------+--------+---------+----------+
| horse | 79.967 | 66.118 | 80.389 |
+--------------+--------+---------+----------+
| motorbike | 77.144 | 67.849 | 75.853 |
+--------------+--------+---------+----------+
| person | 70.746 | 64.759 | 67.880 |
+--------------+--------+---------+----------+
| pottedplant | 64.874 | 63.506 | 57.935 |
+--------------+--------+---------+----------+
| sheep | 82.595 | 58.362 | 82.047 |
+--------------+--------+---------+----------+
| sofa | 58.290 | 66.828 | 41.461 |
+--------------+--------+---------+----------+
| train | 57.936 | 50.214 | 56.596 |
+--------------+--------+---------+----------+
| tvmonitor | 65.945 | 62.989 | 64.129 |
+--------------+--------+---------+----------+
| mIoU | 70.487 | 62.472 | 68.097 |
+--------------+--------+---------+----------+