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2022-11-04 05:54:28,665 - dist_train_voc_seg_neg.py - INFO: Pytorch version: 1.10.0a0+ecc3718
2022-11-04 05:54:29,063 - dist_train_voc_seg_neg.py - INFO: GPU type: A100-SXM4-40GB
2022-11-04 05:54:29,064 - dist_train_voc_seg_neg.py - INFO:
args: Namespace(aux_layer=-3, backbone='vit_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_final2/2022-11-04-05-54-28-662620/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_final2/2022-11-04-05-54-28-662620/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_final2/2022-11-04-05-54-28-662620', wt_decay=0.01)
2022-11-04 05:54:29,065 - distributed_c10d.py - INFO: Added key: store_based_barrier_key:1 to store for rank: 0
2022-11-04 05:54:29,065 - distributed_c10d.py - INFO: Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 2 nodes.
2022-11-04 05:54:29,065 - dist_train_voc_seg_neg.py - INFO: Total gpus: 2, samples per gpu: 2...
2022-11-04 05:54:30,622 - helpers.py - INFO: Loading pretrained weights from url (https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-vitjx/jx_vit_base_p16_224-80ecf9dd.pth)
2022-11-04 05:54:33,297 - 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 05:56:34,855 - dist_train_voc_seg_neg.py - INFO: Iter: 200; Elasped: 0:02:05; ETA: 3:26:15; LR: 7.960e-06; cls_loss: 0.4358, cls_loss_aux: 6.2393, ptc_loss: 0.3997, ctc_loss: 1.5585, seg_loss: 2.9299...
2022-11-04 05:58:30,807 - dist_train_voc_seg_neg.py - INFO: Iter: 400; Elasped: 0:04:01; ETA: 3:16:49; LR: 1.596e-05; cls_loss: 0.2413, cls_loss_aux: 0.4181, ptc_loss: 0.3938, ctc_loss: 1.3599, seg_loss: 2.9611...
2022-11-04 06:00:26,886 - dist_train_voc_seg_neg.py - INFO: Iter: 600; Elasped: 0:05:57; ETA: 3:12:23; LR: 2.396e-05; cls_loss: 0.2028, cls_loss_aux: 0.2684, ptc_loss: 0.3862, ctc_loss: 1.3723, seg_loss: 2.6846...
2022-11-04 06:02:22,882 - dist_train_voc_seg_neg.py - INFO: Iter: 800; Elasped: 0:07:53; ETA: 3:09:12; LR: 3.196e-05; cls_loss: 0.1700, cls_loss_aux: 0.2270, ptc_loss: 0.3784, ctc_loss: 0.9320, seg_loss: 2.3921...
2022-11-04 06:04:18,958 - dist_train_voc_seg_neg.py - INFO: Iter: 1000; Elasped: 0:09:49; ETA: 3:06:31; LR: 3.996e-05; cls_loss: 0.1309, cls_loss_aux: 0.2025, ptc_loss: 0.3782, ctc_loss: 0.6352, seg_loss: 1.9993...
2022-11-04 06:06:15,041 - dist_train_voc_seg_neg.py - INFO: Iter: 1200; Elasped: 0:11:46; ETA: 3:04:20; LR: 4.796e-05; cls_loss: 0.1104, cls_loss_aux: 0.2036, ptc_loss: 0.3808, ctc_loss: 0.5301, seg_loss: 1.8603...
2022-11-04 06:08:11,117 - dist_train_voc_seg_neg.py - INFO: Iter: 1400; Elasped: 0:13:42; ETA: 3:02:00; LR: 5.596e-05; cls_loss: 0.0884, cls_loss_aux: 0.1757, ptc_loss: 0.3675, ctc_loss: 0.3911, seg_loss: 1.8571...
2022-11-04 06:10:07,029 - dist_train_voc_seg_neg.py - INFO: Iter: 1600; Elasped: 0:15:38; ETA: 2:59:47; LR: 5.566e-05; cls_loss: 0.0861, cls_loss_aux: 0.1626, ptc_loss: 0.3724, ctc_loss: 0.3677, seg_loss: 1.7362...
2022-11-04 06:12:03,075 - dist_train_voc_seg_neg.py - INFO: Iter: 1800; Elasped: 0:17:34; ETA: 2:57:37; LR: 5.512e-05; cls_loss: 0.0876, cls_loss_aux: 0.1689, ptc_loss: 0.3740, ctc_loss: 0.4285, seg_loss: 1.7121...
2022-11-04 06:13:59,070 - dist_train_voc_seg_neg.py - INFO: Iter: 2000; Elasped: 0:19:30; ETA: 2:55:30; LR: 5.457e-05; cls_loss: 0.0900, cls_loss_aux: 0.1827, ptc_loss: 0.3500, ctc_loss: 0.6576, seg_loss: 2.1208...
2022-11-04 06:13:59,070 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 06:18:31,416 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.873037
2022-11-04 06:18:31,417 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 11.405 | 77.233 | 2.148 |
+--------------+--------+---------+----------+
| aeroplane | 14.075 | 34.761 | 0 |
+--------------+--------+---------+----------+
| bicycle | 8.291 | 36.791 | 0.102 |
+--------------+--------+---------+----------+
| bird | 11.535 | 26.655 | 0.026 |
+--------------+--------+---------+----------+
| boat | 11.747 | 19.105 | 0.038 |
+--------------+--------+---------+----------+
| bottle | 24.678 | 46.101 | 0 |
+--------------+--------+---------+----------+
| bus | 39.783 | 71.729 | 0.001 |
+--------------+--------+---------+----------+
| car | 30.179 | 67.346 | 0 |
+--------------+--------+---------+----------+
| cat | 37.401 | 65.851 | 0.141 |
+--------------+--------+---------+----------+
| chair | 17.784 | 17.529 | 1.118 |
+--------------+--------+---------+----------+
| cow | 26.482 | 65.003 | 0 |
+--------------+--------+---------+----------+
| diningtable | 32.352 | 46.223 | 0.321 |
+--------------+--------+---------+----------+
| dog | 31.603 | 73.826 | 2.417 |
+--------------+--------+---------+----------+
| horse | 22.007 | 70.591 | 0.189 |
+--------------+--------+---------+----------+
| motorbike | 24.156 | 61.540 | 0.593 |
+--------------+--------+---------+----------+
| person | 50.438 | 62.187 | 0.563 |
+--------------+--------+---------+----------+
| pottedplant | 17.219 | 40.222 | 0.012 |
+--------------+--------+---------+----------+
| sheep | 22.093 | 66.136 | 0.274 |
+--------------+--------+---------+----------+
| sofa | 26.022 | 37.021 | 0.070 |
+--------------+--------+---------+----------+
| train | 29.703 | 50.313 | 0 |
+--------------+--------+---------+----------+
| tvmonitor | 19.168 | 45.448 | 0 |
+--------------+--------+---------+----------+
| mIoU | 24.196 | 51.505 | 0.381 |
+--------------+--------+---------+----------+
2022-11-04 06:20:26,025 - dist_train_voc_seg_neg.py - INFO: Iter: 2200; Elasped: 0:25:57; ETA: 3:29:57; LR: 5.403e-05; cls_loss: 0.0867, cls_loss_aux: 0.1501, ptc_loss: 0.3134, ctc_loss: 0.5851, seg_loss: 1.7061...
2022-11-04 06:22:20,696 - dist_train_voc_seg_neg.py - INFO: Iter: 2400; Elasped: 0:27:51; ETA: 3:24:14; LR: 5.348e-05; cls_loss: 0.0801, cls_loss_aux: 0.1476, ptc_loss: 0.3060, ctc_loss: 0.6595, seg_loss: 0.8788...
2022-11-04 06:24:15,209 - dist_train_voc_seg_neg.py - INFO: Iter: 2600; Elasped: 0:29:46; ETA: 3:19:12; LR: 5.293e-05; cls_loss: 0.0912, cls_loss_aux: 0.1642, ptc_loss: 0.2492, ctc_loss: 0.7675, seg_loss: 0.6148...
2022-11-04 06:26:11,665 - dist_train_voc_seg_neg.py - INFO: Iter: 2800; Elasped: 0:31:42; ETA: 3:14:43; LR: 5.239e-05; cls_loss: 0.0791, cls_loss_aux: 0.1413, ptc_loss: 0.2135, ctc_loss: 0.7488, seg_loss: 0.4249...
2022-11-04 06:28:06,188 - dist_train_voc_seg_neg.py - INFO: Iter: 3000; Elasped: 0:33:37; ETA: 3:10:29; LR: 5.184e-05; cls_loss: 0.0790, cls_loss_aux: 0.1405, ptc_loss: 0.2055, ctc_loss: 0.7988, seg_loss: 0.3906...
2022-11-04 06:30:00,590 - dist_train_voc_seg_neg.py - INFO: Iter: 3200; Elasped: 0:35:31; ETA: 3:06:27; LR: 5.129e-05; cls_loss: 0.0745, cls_loss_aux: 0.1331, ptc_loss: 0.1834, ctc_loss: 0.8282, seg_loss: 0.2793...
2022-11-04 06:31:54,944 - dist_train_voc_seg_neg.py - INFO: Iter: 3400; Elasped: 0:37:25; ETA: 3:02:40; LR: 5.074e-05; cls_loss: 0.0825, cls_loss_aux: 0.1535, ptc_loss: 0.1849, ctc_loss: 0.7757, seg_loss: 0.3039...
2022-11-04 06:33:49,247 - dist_train_voc_seg_neg.py - INFO: Iter: 3600; Elasped: 0:39:20; ETA: 2:59:11; LR: 5.019e-05; cls_loss: 0.0722, cls_loss_aux: 0.1178, ptc_loss: 0.1711, ctc_loss: 0.7009, seg_loss: 0.2280...
2022-11-04 06:35:43,585 - dist_train_voc_seg_neg.py - INFO: Iter: 3800; Elasped: 0:41:14; ETA: 2:55:47; LR: 4.964e-05; cls_loss: 0.0796, cls_loss_aux: 0.1287, ptc_loss: 0.1671, ctc_loss: 0.6913, seg_loss: 0.2444...
2022-11-04 06:37:37,740 - dist_train_voc_seg_neg.py - INFO: Iter: 4000; Elasped: 0:43:08; ETA: 2:52:32; LR: 4.909e-05; cls_loss: 0.0825, cls_loss_aux: 0.1345, ptc_loss: 0.1723, ctc_loss: 0.7909, seg_loss: 0.3014...
2022-11-04 06:37:37,740 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 06:40:40,500 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.869817
2022-11-04 06:40:40,501 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 81.133 | 85.566 | 80.970 |
+--------------+--------+---------+----------+
| aeroplane | 54.309 | 73.232 | 61.399 |
+--------------+--------+---------+----------+
| bicycle | 35.347 | 44.519 | 28.545 |
+--------------+--------+---------+----------+
| bird | 32.414 | 45.339 | 38.632 |
+--------------+--------+---------+----------+
| boat | 24.363 | 35.424 | 21.967 |
+--------------+--------+---------+----------+
| bottle | 54.519 | 46.102 | 46.781 |
+--------------+--------+---------+----------+
| bus | 79.225 | 74.687 | 50.889 |
+--------------+--------+---------+----------+
| car | 72.740 | 74.543 | 46.180 |
+--------------+--------+---------+----------+
| cat | 80.372 | 68.443 | 73.494 |
+--------------+--------+---------+----------+
| chair | 31.300 | 32.397 | 17.298 |
+--------------+--------+---------+----------+
| cow | 79.466 | 66.470 | 68.138 |
+--------------+--------+---------+----------+
| diningtable | 47.949 | 51.409 | 43.099 |
+--------------+--------+---------+----------+
| dog | 79.591 | 69.811 | 72.784 |
+--------------+--------+---------+----------+
| horse | 64.508 | 71.318 | 62.050 |
+--------------+--------+---------+----------+
| motorbike | 68.436 | 73.870 | 60.921 |
+--------------+--------+---------+----------+
| person | 73.816 | 68.101 | 71.676 |
+--------------+--------+---------+----------+
| pottedplant | 39.150 | 56.696 | 34.847 |
+--------------+--------+---------+----------+
| sheep | 82.105 | 78.312 | 70.547 |
+--------------+--------+---------+----------+
| sofa | 46.965 | 50.384 | 30.159 |
+--------------+--------+---------+----------+
| train | 54.754 | 59.016 | 49.055 |
+--------------+--------+---------+----------+
| tvmonitor | 38.707 | 52.044 | 33.824 |
+--------------+--------+---------+----------+
| mIoU | 58.151 | 60.842 | 50.631 |
+--------------+--------+---------+----------+
2022-11-04 06:42:34,924 - dist_train_voc_seg_neg.py - INFO: Iter: 4200; Elasped: 0:48:05; ETA: 3:00:53; LR: 4.853e-05; cls_loss: 0.0750, cls_loss_aux: 0.1289, ptc_loss: 0.1656, ctc_loss: 0.6613, seg_loss: 0.2089...
2022-11-04 06:44:29,222 - dist_train_voc_seg_neg.py - INFO: Iter: 4400; Elasped: 0:50:00; ETA: 2:57:16; LR: 4.798e-05; cls_loss: 0.0684, cls_loss_aux: 0.1220, ptc_loss: 0.1476, ctc_loss: 0.5446, seg_loss: 0.2054...
2022-11-04 06:47:00,525 - dist_train_voc_seg_neg.py - INFO: Iter: 4600; Elasped: 0:52:31; ETA: 2:55:49; LR: 4.743e-05; cls_loss: 0.0773, cls_loss_aux: 0.1208, ptc_loss: 0.1703, ctc_loss: 0.6593, seg_loss: 0.2141...
2022-11-04 06:48:54,978 - dist_train_voc_seg_neg.py - INFO: Iter: 4800; Elasped: 0:54:25; ETA: 2:52:19; LR: 4.687e-05; cls_loss: 0.0685, cls_loss_aux: 0.1167, ptc_loss: 0.1646, ctc_loss: 0.7336, seg_loss: 0.2332...
2022-11-04 06:51:29,361 - dist_train_voc_seg_neg.py - INFO: Iter: 5000; Elasped: 0:57:00; ETA: 2:51:00; LR: 4.632e-05; cls_loss: 0.0767, cls_loss_aux: 0.1318, ptc_loss: 0.1474, ctc_loss: 0.7771, seg_loss: 0.2459...
2022-11-04 06:53:24,448 - dist_train_voc_seg_neg.py - INFO: Iter: 5200; Elasped: 0:58:55; ETA: 2:47:41; LR: 4.576e-05; cls_loss: 0.0697, cls_loss_aux: 0.1065, ptc_loss: 0.1447, ctc_loss: 0.7364, seg_loss: 0.1907...
2022-11-04 06:55:20,469 - dist_train_voc_seg_neg.py - INFO: Iter: 5400; Elasped: 1:00:51; ETA: 2:44:31; LR: 4.520e-05; cls_loss: 0.0670, cls_loss_aux: 0.1110, ptc_loss: 0.1252, ctc_loss: 0.7199, seg_loss: 0.1711...
2022-11-04 06:57:14,785 - dist_train_voc_seg_neg.py - INFO: Iter: 5600; Elasped: 1:02:45; ETA: 2:41:21; LR: 4.465e-05; cls_loss: 0.0688, cls_loss_aux: 0.1025, ptc_loss: 0.1381, ctc_loss: 0.6950, seg_loss: 0.1693...
2022-11-04 06:59:49,692 - dist_train_voc_seg_neg.py - INFO: Iter: 5800; Elasped: 1:05:20; ETA: 2:39:57; LR: 4.409e-05; cls_loss: 0.0763, cls_loss_aux: 0.1216, ptc_loss: 0.1768, ctc_loss: 0.6531, seg_loss: 0.2732...
2022-11-04 07:01:43,868 - dist_train_voc_seg_neg.py - INFO: Iter: 6000; Elasped: 1:07:14; ETA: 2:36:52; LR: 4.353e-05; cls_loss: 0.0729, cls_loss_aux: 0.1038, ptc_loss: 0.1572, ctc_loss: 0.7664, seg_loss: 0.1954...
2022-11-04 07:01:43,868 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 07:04:47,192 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.887955
2022-11-04 07:04:47,192 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 84.390 | 86.891 | 84.489 |
+--------------+--------+---------+----------+
| aeroplane | 67.531 | 79.181 | 71.273 |
+--------------+--------+---------+----------+
| bicycle | 45.354 | 45.798 | 41.367 |
+--------------+--------+---------+----------+
| bird | 32.498 | 60.735 | 31.631 |
+--------------+--------+---------+----------+
| boat | 27.089 | 41.390 | 23.488 |
+--------------+--------+---------+----------+
| bottle | 71.655 | 54.681 | 66.388 |
+--------------+--------+---------+----------+
| bus | 87.498 | 74.744 | 83.087 |
+--------------+--------+---------+----------+
| car | 84.758 | 69.552 | 79.429 |
+--------------+--------+---------+----------+
| cat | 87.467 | 77.332 | 84.976 |
+--------------+--------+---------+----------+
| chair | 33.080 | 39.504 | 25.374 |
+--------------+--------+---------+----------+
| cow | 69.638 | 54.021 | 37.310 |
+--------------+--------+---------+----------+
| diningtable | 52.286 | 56.498 | 39.421 |
+--------------+--------+---------+----------+
| dog | 83.044 | 75.893 | 77.755 |
+--------------+--------+---------+----------+
| horse | 76.129 | 81.400 | 50.554 |
+--------------+--------+---------+----------+
| motorbike | 75.355 | 75.923 | 68.011 |
+--------------+--------+---------+----------+
| person | 72.920 | 65.564 | 71.251 |
+--------------+--------+---------+----------+
| pottedplant | 43.035 | 54.710 | 47.316 |
+--------------+--------+---------+----------+
| sheep | 85.225 | 82.379 | 78.838 |
+--------------+--------+---------+----------+
| sofa | 37.572 | 52.053 | 29.572 |
+--------------+--------+---------+----------+
| train | 58.427 | 60.576 | 55.144 |
+--------------+--------+---------+----------+
| tvmonitor | 50.094 | 61.407 | 51.652 |
+--------------+--------+---------+----------+
| mIoU | 63.097 | 64.297 | 57.063 |
+--------------+--------+---------+----------+
2022-11-04 07:06:41,988 - dist_train_voc_seg_neg.py - INFO: Iter: 6200; Elasped: 1:12:12; ETA: 2:40:42; LR: 4.297e-05; cls_loss: 0.0775, cls_loss_aux: 0.1166, ptc_loss: 0.1318, ctc_loss: 0.7281, seg_loss: 0.2224...
2022-11-04 07:08:36,323 - dist_train_voc_seg_neg.py - INFO: Iter: 6400; Elasped: 1:14:07; ETA: 2:37:29; LR: 4.241e-05; cls_loss: 0.0758, cls_loss_aux: 0.1100, ptc_loss: 0.1367, ctc_loss: 0.6148, seg_loss: 0.2405...
2022-11-04 07:10:30,660 - dist_train_voc_seg_neg.py - INFO: Iter: 6600; Elasped: 1:16:01; ETA: 2:34:20; LR: 4.185e-05; cls_loss: 0.0693, cls_loss_aux: 0.1112, ptc_loss: 0.1369, ctc_loss: 0.3834, seg_loss: 0.1981...
2022-11-04 07:12:24,909 - dist_train_voc_seg_neg.py - INFO: Iter: 6800; Elasped: 1:17:55; ETA: 2:31:15; LR: 4.128e-05; cls_loss: 0.0652, cls_loss_aux: 0.1006, ptc_loss: 0.1515, ctc_loss: 0.4416, seg_loss: 0.1604...
2022-11-04 07:14:19,170 - dist_train_voc_seg_neg.py - INFO: Iter: 7000; Elasped: 1:19:50; ETA: 2:28:15; LR: 4.072e-05; cls_loss: 0.0595, cls_loss_aux: 0.0906, ptc_loss: 0.1319, ctc_loss: 0.4453, seg_loss: 0.1625...
2022-11-04 07:16:13,532 - dist_train_voc_seg_neg.py - INFO: Iter: 7200; Elasped: 1:21:44; ETA: 2:25:18; LR: 4.016e-05; cls_loss: 0.0662, cls_loss_aux: 0.0938, ptc_loss: 0.1365, ctc_loss: 0.5058, seg_loss: 0.1441...
2022-11-04 07:18:07,702 - dist_train_voc_seg_neg.py - INFO: Iter: 7400; Elasped: 1:23:38; ETA: 2:22:24; LR: 3.959e-05; cls_loss: 0.0614, cls_loss_aux: 0.0894, ptc_loss: 0.1399, ctc_loss: 0.6221, seg_loss: 0.1359...
2022-11-04 07:20:01,877 - dist_train_voc_seg_neg.py - INFO: Iter: 7600; Elasped: 1:25:32; ETA: 2:19:33; LR: 3.902e-05; cls_loss: 0.0721, cls_loss_aux: 0.1120, ptc_loss: 0.1467, ctc_loss: 0.6088, seg_loss: 0.1339...
2022-11-04 07:21:56,055 - dist_train_voc_seg_neg.py - INFO: Iter: 7800; Elasped: 1:27:27; ETA: 2:16:46; LR: 3.846e-05; cls_loss: 0.0640, cls_loss_aux: 0.0976, ptc_loss: 0.1300, ctc_loss: 0.7069, seg_loss: 0.2024...
2022-11-04 07:23:52,346 - dist_train_voc_seg_neg.py - INFO: Iter: 8000; Elasped: 1:29:23; ETA: 2:14:04; LR: 3.789e-05; cls_loss: 0.0625, cls_loss_aux: 0.0897, ptc_loss: 0.1546, ctc_loss: 0.7157, seg_loss: 0.1883...
2022-11-04 07:23:52,347 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 07:26:56,206 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.907651
2022-11-04 07:26:56,206 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 86.353 | 88.581 | 85.572 |
+--------------+--------+---------+----------+
| aeroplane | 73.786 | 80.943 | 75.348 |
+--------------+--------+---------+----------+
| bicycle | 41.431 | 41.403 | 38.230 |
+--------------+--------+---------+----------+
| bird | 33.141 | 60.145 | 32.773 |
+--------------+--------+---------+----------+
| boat | 33.780 | 48.873 | 30.949 |
+--------------+--------+---------+----------+
| bottle | 74.358 | 57.222 | 69.858 |
+--------------+--------+---------+----------+
| bus | 86.834 | 74.436 | 84.791 |
+--------------+--------+---------+----------+
| car | 84.907 | 70.955 | 80.377 |
+--------------+--------+---------+----------+
| cat | 90.207 | 84.177 | 87.488 |
+--------------+--------+---------+----------+
| chair | 38.037 | 39.914 | 28.630 |
+--------------+--------+---------+----------+
| cow | 87.950 | 78.917 | 81.433 |
+--------------+--------+---------+----------+
| diningtable | 56.705 | 55.331 | 49.423 |
+--------------+--------+---------+----------+
| dog | 86.717 | 81.172 | 82.160 |
+--------------+--------+---------+----------+
| horse | 79.703 | 79.268 | 72.112 |
+--------------+--------+---------+----------+
| motorbike | 79.719 | 78.637 | 76.829 |
+--------------+--------+---------+----------+
| person | 81.023 | 76.151 | 78.197 |
+--------------+--------+---------+----------+
| pottedplant | 45.541 | 55.661 | 41.923 |
+--------------+--------+---------+----------+
| sheep | 88.551 | 83.587 | 83.258 |
+--------------+--------+---------+----------+
| sofa | 46.979 | 63.194 | 32.345 |
+--------------+--------+---------+----------+
| train | 57.501 | 57.392 | 54.249 |
+--------------+--------+---------+----------+
| tvmonitor | 46.327 | 61.591 | 43.633 |
+--------------+--------+---------+----------+
| mIoU | 66.645 | 67.502 | 62.361 |
+--------------+--------+---------+----------+
2022-11-04 07:28:51,127 - dist_train_voc_seg_neg.py - INFO: Iter: 8200; Elasped: 1:34:22; ETA: 2:15:47; LR: 3.732e-05; cls_loss: 0.0557, cls_loss_aux: 0.0748, ptc_loss: 0.1507, ctc_loss: 0.6759, seg_loss: 0.1573...
2022-11-04 07:30:46,010 - dist_train_voc_seg_neg.py - INFO: Iter: 8400; Elasped: 1:36:17; ETA: 2:12:57; LR: 3.675e-05; cls_loss: 0.0570, cls_loss_aux: 0.0834, ptc_loss: 0.1252, ctc_loss: 0.6578, seg_loss: 0.1878...
2022-11-04 07:32:40,636 - dist_train_voc_seg_neg.py - INFO: Iter: 8600; Elasped: 1:38:11; ETA: 2:10:09; LR: 3.618e-05; cls_loss: 0.0607, cls_loss_aux: 0.0766, ptc_loss: 0.1491, ctc_loss: 0.6772, seg_loss: 0.1366...
2022-11-04 07:34:35,237 - dist_train_voc_seg_neg.py - INFO: Iter: 8800; Elasped: 1:40:06; ETA: 2:07:24; LR: 3.561e-05; cls_loss: 0.0646, cls_loss_aux: 0.0852, ptc_loss: 0.1382, ctc_loss: 0.6224, seg_loss: 0.1653...
2022-11-04 07:36:29,645 - dist_train_voc_seg_neg.py - INFO: Iter: 9000; Elasped: 1:42:00; ETA: 2:04:40; LR: 3.504e-05; cls_loss: 0.0660, cls_loss_aux: 0.0905, ptc_loss: 0.1257, ctc_loss: 0.6875, seg_loss: 0.1632...
2022-11-04 07:38:24,203 - dist_train_voc_seg_neg.py - INFO: Iter: 9200; Elasped: 1:43:55; ETA: 2:01:59; LR: 3.446e-05; cls_loss: 0.0641, cls_loss_aux: 0.0855, ptc_loss: 0.1400, ctc_loss: 0.6585, seg_loss: 0.1816...
2022-11-04 07:40:19,026 - dist_train_voc_seg_neg.py - INFO: Iter: 9400; Elasped: 1:45:50; ETA: 1:59:20; LR: 3.389e-05; cls_loss: 0.0534, cls_loss_aux: 0.0687, ptc_loss: 0.1329, ctc_loss: 0.8224, seg_loss: 0.1392...
2022-11-04 07:42:13,565 - dist_train_voc_seg_neg.py - INFO: Iter: 9600; Elasped: 1:47:44; ETA: 1:56:42; LR: 3.331e-05; cls_loss: 0.0607, cls_loss_aux: 0.0748, ptc_loss: 0.1337, ctc_loss: 0.7437, seg_loss: 0.1468...
2022-11-04 07:44:50,198 - dist_train_voc_seg_neg.py - INFO: Iter: 9800; Elasped: 1:50:21; ETA: 1:54:51; LR: 3.273e-05; cls_loss: 0.0586, cls_loss_aux: 0.0817, ptc_loss: 0.1136, ctc_loss: 0.6833, seg_loss: 0.1286...
2022-11-04 07:46:44,489 - dist_train_voc_seg_neg.py - INFO: Iter: 10000; Elasped: 1:52:15; ETA: 1:52:15; LR: 3.216e-05; cls_loss: 0.0576, cls_loss_aux: 0.0748, ptc_loss: 0.1233, ctc_loss: 0.6733, seg_loss: 0.1225...
2022-11-04 07:46:44,489 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 07:49:47,348 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.906526
2022-11-04 07:49:47,349 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 88.337 | 88.996 | 87.556 |
+--------------+--------+---------+----------+
| aeroplane | 67.215 | 81.291 | 70.346 |
+--------------+--------+---------+----------+
| bicycle | 45.224 | 48.735 | 37.387 |
+--------------+--------+---------+----------+
| bird | 50.649 | 60.154 | 51.630 |
+--------------+--------+---------+----------+
| boat | 29.996 | 52.904 | 27.330 |
+--------------+--------+---------+----------+
| bottle | 74.604 | 60.455 | 70.450 |
+--------------+--------+---------+----------+
| bus | 86.305 | 74.324 | 85.456 |
+--------------+--------+---------+----------+
| car | 82.527 | 67.043 | 75.216 |
+--------------+--------+---------+----------+
| cat | 90.067 | 83.296 | 86.960 |
+--------------+--------+---------+----------+
| chair | 47.455 | 44.242 | 28.729 |
+--------------+--------+---------+----------+
| cow | 87.309 | 79.671 | 83.843 |
+--------------+--------+---------+----------+
| diningtable | 64.127 | 53.816 | 52.950 |
+--------------+--------+---------+----------+
| dog | 87.318 | 81.797 | 83.181 |
+--------------+--------+---------+----------+
| horse | 83.080 | 73.285 | 79.929 |
+--------------+--------+---------+----------+
| motorbike | 80.226 | 77.775 | 75.372 |
+--------------+--------+---------+----------+
| person | 80.409 | 77.069 | 77.872 |
+--------------+--------+---------+----------+
| pottedplant | 50.325 | 54.291 | 51.107 |
+--------------+--------+---------+----------+
| sheep | 87.553 | 81.553 | 84.497 |
+--------------+--------+---------+----------+
| sofa | 51.600 | 63.173 | 38.443 |
+--------------+--------+---------+----------+
| train | 61.014 | 60.872 | 59.491 |
+--------------+--------+---------+----------+
| tvmonitor | 55.296 | 65.192 | 52.826 |
+--------------+--------+---------+----------+
| mIoU | 69.078 | 68.092 | 64.789 |
+--------------+--------+---------+----------+
2022-11-04 07:51:42,389 - dist_train_voc_seg_neg.py - INFO: Iter: 10200; Elasped: 1:57:13; ETA: 1:52:37; LR: 3.158e-05; cls_loss: 0.0658, cls_loss_aux: 0.0781, ptc_loss: 0.1494, ctc_loss: 0.6936, seg_loss: 0.1382...
2022-11-04 07:53:37,194 - dist_train_voc_seg_neg.py - INFO: Iter: 10400; Elasped: 1:59:08; ETA: 1:49:58; LR: 3.100e-05; cls_loss: 0.0529, cls_loss_aux: 0.0673, ptc_loss: 0.1185, ctc_loss: 0.7090, seg_loss: 0.1317...
2022-11-04 07:55:34,125 - dist_train_voc_seg_neg.py - INFO: Iter: 10600; Elasped: 2:01:05; ETA: 1:47:22; LR: 3.041e-05; cls_loss: 0.0568, cls_loss_aux: 0.0732, ptc_loss: 0.1133, ctc_loss: 0.7168, seg_loss: 0.1244...
2022-11-04 07:57:31,530 - dist_train_voc_seg_neg.py - INFO: Iter: 10800; Elasped: 2:03:02; ETA: 1:44:48; LR: 2.983e-05; cls_loss: 0.0652, cls_loss_aux: 0.0761, ptc_loss: 0.1382, ctc_loss: 0.6607, seg_loss: 0.1357...
2022-11-04 07:59:26,113 - dist_train_voc_seg_neg.py - INFO: Iter: 11000; Elasped: 2:04:57; ETA: 1:42:13; LR: 2.925e-05; cls_loss: 0.0472, cls_loss_aux: 0.0558, ptc_loss: 0.1405, ctc_loss: 0.7401, seg_loss: 0.1018...
2022-11-04 08:01:20,718 - dist_train_voc_seg_neg.py - INFO: Iter: 11200; Elasped: 2:06:51; ETA: 1:39:40; LR: 2.866e-05; cls_loss: 0.0460, cls_loss_aux: 0.0511, ptc_loss: 0.1178, ctc_loss: 0.8139, seg_loss: 0.1093...
2022-11-04 08:03:15,334 - dist_train_voc_seg_neg.py - INFO: Iter: 11400; Elasped: 2:08:46; ETA: 1:37:08; LR: 2.807e-05; cls_loss: 0.0523, cls_loss_aux: 0.0641, ptc_loss: 0.1132, ctc_loss: 0.7245, seg_loss: 0.1277...
2022-11-04 08:05:49,245 - dist_train_voc_seg_neg.py - INFO: Iter: 11600; Elasped: 2:11:20; ETA: 1:35:06; LR: 2.749e-05; cls_loss: 0.0578, cls_loss_aux: 0.0706, ptc_loss: 0.1141, ctc_loss: 0.6878, seg_loss: 0.1296...
2022-11-04 08:07:43,939 - dist_train_voc_seg_neg.py - INFO: Iter: 11800; Elasped: 2:13:14; ETA: 1:32:35; LR: 2.690e-05; cls_loss: 0.0626, cls_loss_aux: 0.0737, ptc_loss: 0.1200, ctc_loss: 0.6636, seg_loss: 0.1400...
2022-11-04 08:09:38,579 - dist_train_voc_seg_neg.py - INFO: Iter: 12000; Elasped: 2:15:09; ETA: 1:30:06; LR: 2.631e-05; cls_loss: 0.0551, cls_loss_aux: 0.0606, ptc_loss: 0.1255, ctc_loss: 0.6961, seg_loss: 0.1251...
2022-11-04 08:09:38,579 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 08:12:42,118 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.908615
2022-11-04 08:12:42,118 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 89.246 | 88.542 | 88.268 |
+--------------+--------+---------+----------+
| aeroplane | 71.066 | 81.199 | 74.957 |
+--------------+--------+---------+----------+
| bicycle | 46.624 | 44.462 | 43.877 |
+--------------+--------+---------+----------+
| bird | 62.590 | 66.227 | 63.709 |
+--------------+--------+---------+----------+
| boat | 39.144 | 54.214 | 36.376 |
+--------------+--------+---------+----------+
| bottle | 75.479 | 56.368 | 73.902 |
+--------------+--------+---------+----------+
| bus | 84.259 | 79.669 | 78.001 |
+--------------+--------+---------+----------+
| car | 80.661 | 64.407 | 78.636 |
+--------------+--------+---------+----------+
| cat | 88.562 | 81.095 | 86.204 |
+--------------+--------+---------+----------+
| chair | 44.112 | 44.631 | 29.020 |
+--------------+--------+---------+----------+
| cow | 86.894 | 76.150 | 84.347 |
+--------------+--------+---------+----------+
| diningtable | 62.021 | 55.434 | 51.123 |
+--------------+--------+---------+----------+
| dog | 85.267 | 78.378 | 79.078 |
+--------------+--------+---------+----------+
| horse | 85.323 | 77.462 | 79.710 |
+--------------+--------+---------+----------+
| motorbike | 80.157 | 77.233 | 74.626 |
+--------------+--------+---------+----------+
| person | 79.095 | 72.304 | 76.680 |
+--------------+--------+---------+----------+
| pottedplant | 52.315 | 56.362 | 52.756 |
+--------------+--------+---------+----------+
| sheep | 87.460 | 82.221 | 83.038 |
+--------------+--------+---------+----------+
| sofa | 54.979 | 61.790 | 42.820 |
+--------------+--------+---------+----------+
| train | 57.649 | 58.645 | 54.339 |
+--------------+--------+---------+----------+
| tvmonitor | 54.180 | 66.385 | 42.530 |
+--------------+--------+---------+----------+
| mIoU | 69.861 | 67.770 | 65.428 |
+--------------+--------+---------+----------+
2022-11-04 08:14:36,819 - dist_train_voc_seg_neg.py - INFO: Iter: 12200; Elasped: 2:20:07; ETA: 1:29:34; LR: 2.571e-05; cls_loss: 0.0595, cls_loss_aux: 0.0719, ptc_loss: 0.1373, ctc_loss: 0.7391, seg_loss: 0.1326...
2022-11-04 08:16:31,260 - dist_train_voc_seg_neg.py - INFO: Iter: 12400; Elasped: 2:22:02; ETA: 1:27:03; LR: 2.512e-05; cls_loss: 0.0519, cls_loss_aux: 0.0612, ptc_loss: 0.1428, ctc_loss: 0.7247, seg_loss: 0.1138...
2022-11-04 08:18:25,859 - dist_train_voc_seg_neg.py - INFO: Iter: 12600; Elasped: 2:23:56; ETA: 1:24:31; LR: 2.452e-05; cls_loss: 0.0516, cls_loss_aux: 0.0641, ptc_loss: 0.1105, ctc_loss: 0.7253, seg_loss: 0.1008...
2022-11-04 08:20:20,407 - dist_train_voc_seg_neg.py - INFO: Iter: 12800; Elasped: 2:25:51; ETA: 1:22:02; LR: 2.393e-05; cls_loss: 0.0463, cls_loss_aux: 0.0558, ptc_loss: 0.1205, ctc_loss: 0.7346, seg_loss: 0.1232...
2022-11-04 08:22:14,987 - dist_train_voc_seg_neg.py - INFO: Iter: 13000; Elasped: 2:27:45; ETA: 1:19:33; LR: 2.333e-05; cls_loss: 0.0540, cls_loss_aux: 0.0585, ptc_loss: 0.1091, ctc_loss: 0.7516, seg_loss: 0.1149...
2022-11-04 08:24:09,585 - dist_train_voc_seg_neg.py - INFO: Iter: 13200; Elasped: 2:29:40; ETA: 1:17:06; LR: 2.273e-05; cls_loss: 0.0526, cls_loss_aux: 0.0631, ptc_loss: 0.1312, ctc_loss: 0.7300, seg_loss: 0.1336...
2022-11-04 08:26:05,735 - dist_train_voc_seg_neg.py - INFO: Iter: 13400; Elasped: 2:31:36; ETA: 1:14:40; LR: 2.212e-05; cls_loss: 0.0478, cls_loss_aux: 0.0541, ptc_loss: 0.1171, ctc_loss: 0.6834, seg_loss: 0.1045...
2022-11-04 08:27:59,707 - dist_train_voc_seg_neg.py - INFO: Iter: 13600; Elasped: 2:33:30; ETA: 1:12:14; LR: 2.152e-05; cls_loss: 0.0469, cls_loss_aux: 0.0479, ptc_loss: 0.1170, ctc_loss: 0.7664, seg_loss: 0.1063...
2022-11-04 08:29:53,577 - dist_train_voc_seg_neg.py - INFO: Iter: 13800; Elasped: 2:35:24; ETA: 1:09:49; LR: 2.091e-05; cls_loss: 0.0484, cls_loss_aux: 0.0552, ptc_loss: 0.1280, ctc_loss: 0.6682, seg_loss: 0.1151...
2022-11-04 08:31:47,328 - dist_train_voc_seg_neg.py - INFO: Iter: 14000; Elasped: 2:37:18; ETA: 1:07:24; LR: 2.031e-05; cls_loss: 0.0501, cls_loss_aux: 0.0535, ptc_loss: 0.1309, ctc_loss: 0.6964, seg_loss: 0.1115...
2022-11-04 08:31:47,329 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 08:34:50,851 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.911641
2022-11-04 08:34:50,852 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 90.450 | 88.490 | 89.636 |
+--------------+--------+---------+----------+
| aeroplane | 79.943 | 78.196 | 83.208 |
+--------------+--------+---------+----------+
| bicycle | 45.073 | 44.411 | 39.238 |
+--------------+--------+---------+----------+
| bird | 67.289 | 70.033 | 65.780 |
+--------------+--------+---------+----------+
| boat | 43.373 | 52.215 | 37.919 |
+--------------+--------+---------+----------+
| bottle | 76.151 | 61.651 | 75.451 |
+--------------+--------+---------+----------+
| bus | 86.634 | 74.619 | 81.409 |
+--------------+--------+---------+----------+
| car | 84.289 | 65.070 | 81.222 |
+--------------+--------+---------+----------+
| cat | 86.095 | 77.635 | 85.776 |
+--------------+--------+---------+----------+
| chair | 52.177 | 46.766 | 35.667 |
+--------------+--------+---------+----------+
| cow | 86.855 | 77.082 | 84.382 |
+--------------+--------+---------+----------+
| diningtable | 60.162 | 54.453 | 57.881 |
+--------------+--------+---------+----------+
| dog | 84.724 | 79.877 | 82.932 |
+--------------+--------+---------+----------+
| horse | 85.765 | 70.330 | 81.849 |
+--------------+--------+---------+----------+
| motorbike | 80.252 | 75.809 | 73.105 |
+--------------+--------+---------+----------+
| person | 80.272 | 75.678 | 77.769 |
+--------------+--------+---------+----------+
| pottedplant | 52.854 | 45.276 | 49.804 |
+--------------+--------+---------+----------+
| sheep | 87.446 | 81.180 | 85.703 |
+--------------+--------+---------+----------+
| sofa | 59.056 | 65.574 | 36.934 |
+--------------+--------+---------+----------+
| train | 56.591 | 58.699 | 53.511 |
+--------------+--------+---------+----------+
| tvmonitor | 61.035 | 58.897 | 59.723 |
+--------------+--------+---------+----------+
| mIoU | 71.737 | 66.759 | 67.567 |
+--------------+--------+---------+----------+
2022-11-04 08:36:44,659 - dist_train_voc_seg_neg.py - INFO: Iter: 14200; Elasped: 2:42:15; ETA: 1:06:16; LR: 1.970e-05; cls_loss: 0.0460, cls_loss_aux: 0.0507, ptc_loss: 0.1297, ctc_loss: 0.6475, seg_loss: 0.1055...
2022-11-04 08:38:38,527 - dist_train_voc_seg_neg.py - INFO: Iter: 14400; Elasped: 2:44:09; ETA: 1:03:50; LR: 1.908e-05; cls_loss: 0.0551, cls_loss_aux: 0.0611, ptc_loss: 0.1285, ctc_loss: 0.6859, seg_loss: 0.1440...
2022-11-04 08:40:32,403 - dist_train_voc_seg_neg.py - INFO: Iter: 14600; Elasped: 2:46:03; ETA: 1:01:24; LR: 1.847e-05; cls_loss: 0.0461, cls_loss_aux: 0.0534, ptc_loss: 0.1193, ctc_loss: 0.6470, seg_loss: 0.0951...
2022-11-04 08:42:26,278 - dist_train_voc_seg_neg.py - INFO: Iter: 14800; Elasped: 2:47:57; ETA: 0:59:00; LR: 1.785e-05; cls_loss: 0.0398, cls_loss_aux: 0.0430, ptc_loss: 0.1141, ctc_loss: 0.6573, seg_loss: 0.1281...
2022-11-04 08:44:20,098 - dist_train_voc_seg_neg.py - INFO: Iter: 15000; Elasped: 2:49:51; ETA: 0:56:37; LR: 1.723e-05; cls_loss: 0.0427, cls_loss_aux: 0.0443, ptc_loss: 0.1210, ctc_loss: 0.7098, seg_loss: 0.1212...
2022-11-04 08:46:14,073 - dist_train_voc_seg_neg.py - INFO: Iter: 15200; Elasped: 2:51:45; ETA: 0:54:14; LR: 1.661e-05; cls_loss: 0.0429, cls_loss_aux: 0.0440, ptc_loss: 0.1075, ctc_loss: 0.6896, seg_loss: 0.1225...
2022-11-04 08:48:08,028 - dist_train_voc_seg_neg.py - INFO: Iter: 15400; Elasped: 2:53:39; ETA: 0:51:52; LR: 1.599e-05; cls_loss: 0.0481, cls_loss_aux: 0.0532, ptc_loss: 0.1299, ctc_loss: 0.7060, seg_loss: 0.1164...
2022-11-04 08:50:01,787 - dist_train_voc_seg_neg.py - INFO: Iter: 15600; Elasped: 2:55:32; ETA: 0:49:30; LR: 1.536e-05; cls_loss: 0.0435, cls_loss_aux: 0.0441, ptc_loss: 0.1187, ctc_loss: 0.7090, seg_loss: 0.1006...
2022-11-04 08:51:55,837 - dist_train_voc_seg_neg.py - INFO: Iter: 15800; Elasped: 2:57:26; ETA: 0:47:09; LR: 1.473e-05; cls_loss: 0.0396, cls_loss_aux: 0.0410, ptc_loss: 0.1130, ctc_loss: 0.7216, seg_loss: 0.0937...
2022-11-04 08:53:51,821 - dist_train_voc_seg_neg.py - INFO: Iter: 16000; Elasped: 2:59:22; ETA: 0:44:50; LR: 1.410e-05; cls_loss: 0.0460, cls_loss_aux: 0.0469, ptc_loss: 0.1116, ctc_loss: 0.6787, seg_loss: 0.0938...
2022-11-04 08:53:51,822 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 08:56:55,092 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.916013
2022-11-04 08:56:55,093 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 90.420 | 88.910 | 89.597 |
+--------------+--------+---------+----------+
| aeroplane | 77.814 | 77.143 | 79.745 |
+--------------+--------+---------+----------+
| bicycle | 46.434 | 44.210 | 41.644 |
+--------------+--------+---------+----------+
| bird | 68.227 | 71.380 | 66.189 |
+--------------+--------+---------+----------+
| boat | 38.313 | 50.747 | 34.922 |
+--------------+--------+---------+----------+
| bottle | 76.761 | 63.151 | 75.146 |
+--------------+--------+---------+----------+
| bus | 87.634 | 74.948 | 84.645 |
+--------------+--------+---------+----------+
| car | 83.480 | 65.856 | 79.552 |
+--------------+--------+---------+----------+
| cat | 84.566 | 74.559 | 84.669 |
+--------------+--------+---------+----------+
| chair | 50.384 | 47.332 | 35.841 |
+--------------+--------+---------+----------+
| cow | 87.105 | 79.970 | 83.636 |
+--------------+--------+---------+----------+
| diningtable | 60.253 | 52.942 | 56.727 |
+--------------+--------+---------+----------+
| dog | 83.910 | 77.398 | 82.541 |
+--------------+--------+---------+----------+
| horse | 85.266 | 73.131 | 80.582 |
+--------------+--------+---------+----------+
| motorbike | 78.562 | 76.911 | 74.226 |
+--------------+--------+---------+----------+
| person | 81.752 | 76.431 | 79.758 |
+--------------+--------+---------+----------+
| pottedplant | 53.845 | 53.660 | 51.603 |
+--------------+--------+---------+----------+
| sheep | 87.688 | 80.295 | 86.413 |
+--------------+--------+---------+----------+
| sofa | 62.499 | 67.321 | 44.732 |
+--------------+--------+---------+----------+
| train | 61.203 | 61.555 | 59.042 |
+--------------+--------+---------+----------+
| tvmonitor | 59.527 | 65.577 | 57.249 |
+--------------+--------+---------+----------+
| mIoU | 71.697 | 67.782 | 68.022 |
+--------------+--------+---------+----------+
2022-11-04 08:58:49,455 - dist_train_voc_seg_neg.py - INFO: Iter: 16200; Elasped: 3:04:20; ETA: 0:43:14; LR: 1.346e-05; cls_loss: 0.0435, cls_loss_aux: 0.0438, ptc_loss: 0.1202, ctc_loss: 0.6846, seg_loss: 0.0969...
2022-11-04 09:00:43,694 - dist_train_voc_seg_neg.py - INFO: Iter: 16400; Elasped: 3:06:14; ETA: 0:40:52; LR: 1.282e-05; cls_loss: 0.0395, cls_loss_aux: 0.0395, ptc_loss: 0.1157, ctc_loss: 0.6681, seg_loss: 0.0872...
2022-11-04 09:02:38,037 - dist_train_voc_seg_neg.py - INFO: Iter: 16600; Elasped: 3:08:09; ETA: 0:38:32; LR: 1.218e-05; cls_loss: 0.0374, cls_loss_aux: 0.0363, ptc_loss: 0.1306, ctc_loss: 0.6873, seg_loss: 0.1033...
2022-11-04 09:04:32,188 - dist_train_voc_seg_neg.py - INFO: Iter: 16800; Elasped: 3:10:03; ETA: 0:36:12; LR: 1.153e-05; cls_loss: 0.0408, cls_loss_aux: 0.0419, ptc_loss: 0.1056, ctc_loss: 0.7244, seg_loss: 0.0871...
2022-11-04 09:06:26,468 - dist_train_voc_seg_neg.py - INFO: Iter: 17000; Elasped: 3:11:57; ETA: 0:33:52; LR: 1.088e-05; cls_loss: 0.0408, cls_loss_aux: 0.0409, ptc_loss: 0.1127, ctc_loss: 0.7022, seg_loss: 0.1377...
2022-11-04 09:08:20,646 - dist_train_voc_seg_neg.py - INFO: Iter: 17200; Elasped: 3:13:51; ETA: 0:31:33; LR: 1.023e-05; cls_loss: 0.0372, cls_loss_aux: 0.0381, ptc_loss: 0.1465, ctc_loss: 0.6321, seg_loss: 0.0996...
2022-11-04 09:10:14,761 - dist_train_voc_seg_neg.py - INFO: Iter: 17400; Elasped: 3:15:45; ETA: 0:29:15; LR: 9.569e-06; cls_loss: 0.0433, cls_loss_aux: 0.0461, ptc_loss: 0.1256, ctc_loss: 0.6625, seg_loss: 0.1084...
2022-11-04 09:12:08,830 - dist_train_voc_seg_neg.py - INFO: Iter: 17600; Elasped: 3:17:39; ETA: 0:26:57; LR: 8.904e-06; cls_loss: 0.0346, cls_loss_aux: 0.0337, ptc_loss: 0.1233, ctc_loss: 0.7089, seg_loss: 0.0946...
2022-11-04 09:14:02,919 - dist_train_voc_seg_neg.py - INFO: Iter: 17800; Elasped: 3:19:33; ETA: 0:24:39; LR: 8.233e-06; cls_loss: 0.0382, cls_loss_aux: 0.0412, ptc_loss: 0.1313, ctc_loss: 0.6636, seg_loss: 0.0954...
2022-11-04 09:15:57,058 - dist_train_voc_seg_neg.py - INFO: Iter: 18000; Elasped: 3:21:28; ETA: 0:22:23; LR: 7.557e-06; cls_loss: 0.0433, cls_loss_aux: 0.0415, ptc_loss: 0.1187, ctc_loss: 0.6465, seg_loss: 0.1133...
2022-11-04 09:15:57,059 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 09:19:00,467 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.917159
2022-11-04 09:19:00,468 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 90.635 | 88.934 | 90.035 |
+--------------+--------+---------+----------+
| aeroplane | 77.261 | 82.657 | 76.818 |
+--------------+--------+---------+----------+
| bicycle | 46.638 | 43.414 | 43.431 |
+--------------+--------+---------+----------+
| bird | 66.521 | 69.216 | 65.437 |
+--------------+--------+---------+----------+
| boat | 49.019 | 53.126 | 44.733 |
+--------------+--------+---------+----------+
| bottle | 77.678 | 64.053 | 75.223 |
+--------------+--------+---------+----------+
| bus | 88.463 | 73.200 | 86.326 |
+--------------+--------+---------+----------+
| car | 83.239 | 64.357 | 80.951 |
+--------------+--------+---------+----------+
| cat | 86.116 | 76.872 | 87.237 |
+--------------+--------+---------+----------+
| chair | 45.868 | 44.420 | 34.721 |
+--------------+--------+---------+----------+
| cow | 85.919 | 76.875 | 82.636 |
+--------------+--------+---------+----------+
| diningtable | 62.712 | 55.971 | 57.451 |
+--------------+--------+---------+----------+
| dog | 82.881 | 76.391 | 81.919 |
+--------------+--------+---------+----------+
| horse | 85.050 | 71.392 | 80.800 |
+--------------+--------+---------+----------+
| motorbike | 80.639 | 78.552 | 73.855 |
+--------------+--------+---------+----------+
| person | 83.913 | 77.573 | 80.870 |
+--------------+--------+---------+----------+
| pottedplant | 54.525 | 58.231 | 51.737 |
+--------------+--------+---------+----------+
| sheep | 87.572 | 81.428 | 85.419 |
+--------------+--------+---------+----------+
| sofa | 57.900 | 66.689 | 41.618 |
+--------------+--------+---------+----------+
| train | 61.370 | 60.741 | 59.303 |
+--------------+--------+---------+----------+
| tvmonitor | 59.570 | 66.850 | 58.160 |
+--------------+--------+---------+----------+
| mIoU | 72.071 | 68.140 | 68.509 |
+--------------+--------+---------+----------+
2022-11-04 09:20:54,559 - dist_train_voc_seg_neg.py - INFO: Iter: 18200; Elasped: 3:26:25; ETA: 0:20:24; LR: 6.874e-06; cls_loss: 0.0367, cls_loss_aux: 0.0356, ptc_loss: 0.1021, ctc_loss: 0.7541, seg_loss: 0.0838...
2022-11-04 09:22:48,632 - dist_train_voc_seg_neg.py - INFO: Iter: 18400; Elasped: 3:28:19; ETA: 0:18:06; LR: 6.183e-06; cls_loss: 0.0396, cls_loss_aux: 0.0392, ptc_loss: 0.1153, ctc_loss: 0.7019, seg_loss: 0.1024...
2022-11-04 09:24:44,685 - dist_train_voc_seg_neg.py - INFO: Iter: 18600; Elasped: 3:30:15; ETA: 0:15:49; LR: 5.483e-06; cls_loss: 0.0365, cls_loss_aux: 0.0351, ptc_loss: 0.1026, ctc_loss: 0.7192, seg_loss: 0.0913...
2022-11-04 09:26:38,511 - dist_train_voc_seg_neg.py - INFO: Iter: 18800; Elasped: 3:32:09; ETA: 0:13:32; LR: 4.773e-06; cls_loss: 0.0459, cls_loss_aux: 0.0393, ptc_loss: 0.1170, ctc_loss: 0.6678, seg_loss: 0.0869...
2022-11-04 09:28:32,345 - dist_train_voc_seg_neg.py - INFO: Iter: 19000; Elasped: 3:34:03; ETA: 0:11:15; LR: 4.051e-06; cls_loss: 0.0320, cls_loss_aux: 0.0305, ptc_loss: 0.1237, ctc_loss: 0.6913, seg_loss: 0.0962...
2022-11-04 09:30:26,302 - dist_train_voc_seg_neg.py - INFO: Iter: 19200; Elasped: 3:35:57; ETA: 0:08:59; LR: 3.315e-06; cls_loss: 0.0347, cls_loss_aux: 0.0329, ptc_loss: 0.1246, ctc_loss: 0.6608, seg_loss: 0.0903...
2022-11-04 09:32:20,048 - dist_train_voc_seg_neg.py - INFO: Iter: 19400; Elasped: 3:37:51; ETA: 0:06:44; LR: 2.560e-06; cls_loss: 0.0340, cls_loss_aux: 0.0348, ptc_loss: 0.0996, ctc_loss: 0.6910, seg_loss: 0.1107...
2022-11-04 09:34:13,671 - dist_train_voc_seg_neg.py - INFO: Iter: 19600; Elasped: 3:39:44; ETA: 0:04:29; LR: 1.779e-06; cls_loss: 0.0412, cls_loss_aux: 0.0376, ptc_loss: 0.1218, ctc_loss: 0.6511, seg_loss: 0.0890...
2022-11-04 09:36:07,287 - dist_train_voc_seg_neg.py - INFO: Iter: 19800; Elasped: 3:41:38; ETA: 0:02:14; LR: 9.552e-07; cls_loss: 0.0392, cls_loss_aux: 0.0374, ptc_loss: 0.1286, ctc_loss: 0.6701, seg_loss: 0.1072...
2022-11-04 09:38:01,155 - dist_train_voc_seg_neg.py - INFO: Iter: 20000; Elasped: 3:43:32; ETA: 0:00:00; LR: 8.077e-09; cls_loss: 0.0414, cls_loss_aux: 0.0388, ptc_loss: 0.1118, ctc_loss: 0.6530, seg_loss: 0.0961...
2022-11-04 09:38:01,155 - dist_train_voc_seg_neg.py - INFO: Validating...
2022-11-04 09:41:04,518 - dist_train_voc_seg_neg.py - INFO: val cls score: 0.919560
2022-11-04 09:41:04,520 - dist_train_voc_seg_neg.py - INFO:
+--------------+--------+---------+----------+
| Class | CAM | aux_CAM | Seg_Pred |
+==============+========+=========+==========+
| _background_ | 90.758 | 89.025 | 90.166 |
+--------------+--------+---------+----------+
| aeroplane | 78.480 | 80.441 | 77.287 |
+--------------+--------+---------+----------+
| bicycle | 46.036 | 45.765 | 43.491 |
+--------------+--------+---------+----------+
| bird | 67.578 | 69.073 | 65.749 |
+--------------+--------+---------+----------+
| boat | 47.882 | 55.127 | 43.604 |
+--------------+--------+---------+----------+
| bottle | 77.662 | 65.678 | 77.186 |
+--------------+--------+---------+----------+
| bus | 88.112 | 74.193 | 86.230 |
+--------------+--------+---------+----------+
| car | 83.002 | 65.541 | 81.186 |
+--------------+--------+---------+----------+
| cat | 86.332 | 76.789 | 87.909 |
+--------------+--------+---------+----------+
| chair | 49.108 | 46.318 | 35.639 |
+--------------+--------+---------+----------+
| cow | 85.717 | 75.449 | 84.115 |
+--------------+--------+---------+----------+
| diningtable | 61.328 | 55.632 | 60.362 |
+--------------+--------+---------+----------+
| dog | 83.867 | 77.283 | 83.498 |
+--------------+--------+---------+----------+
| horse | 85.338 | 73.611 | 81.230 |
+--------------+--------+---------+----------+
| motorbike | 80.355 | 78.017 | 74.093 |
+--------------+--------+---------+----------+
| person | 82.951 | 77.311 | 80.789 |
+--------------+--------+---------+----------+
| pottedplant | 54.019 | 56.072 | 51.091 |
+--------------+--------+---------+----------+
| sheep | 87.546 | 81.597 | 85.415 |
+--------------+--------+---------+----------+
| sofa | 60.107 | 66.377 | 45.744 |
+--------------+--------+---------+----------+
| train | 60.516 | 59.755 | 57.999 |
+--------------+--------+---------+----------+
| tvmonitor | 62.329 | 66.346 | 60.734 |
+--------------+--------+---------+----------+
| mIoU | 72.334 | 68.352 | 69.215 |
+--------------+--------+---------+----------+