toco_vit-b_coco_80k.log

2022-11-02 22:16:01,451 - dist_train_coco_seg_neg2.py - INFO: Pytorch version: 1.10.0a0+ecc3718
2022-11-02 22:16:02,142 - dist_train_coco_seg_neg2.py - INFO: GPU type: A100-SXM4-40GB
2022-11-02 22:16:02,142 - dist_train_coco_seg_neg2.py - INFO: 
args: Namespace(backbone='vit_base_patch16_224', backend='nccl', betas=(0.9, 0.999), bkg_thre=0.45, cam_scales=(1.0, 0.5, 1.5), ckpt_dir='workdir_coco_final/2022-11-02-22-16-01-448587/checkpoints', crop_size=448, eval_iters=4000, high_thre=0.65, ignore_index=255, img_folder='../coco2014', label_folder='../MSCOCO/SegmentationClass', list_folder='datasets/coco', local_crop_size=96, local_rank=0, log_iters=200, low_thre=0.25, lr=6e-05, max_iters=80000, momentum=0.9, num_classes=81, num_workers=10, optimizer='PolyWarmupAdamW', pooling='gmp', power=0.9, pred_dir='workdir_coco_final/2022-11-02-22-16-01-448587/predictions', pretrained=True, save_ckpt=True, scales=(0.5, 2), seed=0, spg=2, temp=0.5, train_set='train', val_set='val_part', w_reg=0.05, warmup_iters=1500, warmup_lr=1e-06, work_dir='workdir_coco_final/2022-11-02-22-16-01-448587', wt_decay=0.01)
2022-11-02 22:16:02,143 - distributed_c10d.py - INFO: Added key: store_based_barrier_key:1 to store for rank: 0
2022-11-02 22:16:02,173 - distributed_c10d.py - INFO: Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes.
2022-11-02 22:16:02,173 - dist_train_coco_seg_neg2.py - INFO: Total gpus: 4, samples per gpu: 2...
2022-11-02 22:16:04,246 - 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)
2022-11-02 22:16:07,178 - dist_train_coco_seg_neg2.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
)
2022-11-02 22:19:35,458 - dist_train_coco_seg_neg2.py - INFO: Iter: 200; Elasped: 0:03:33; ETA: 23:36:27; LR: 7.960e-06; cls_loss: 0.3981, cls_loss_aux: 5.8373, ptc_loss: 0.4290, ctc_loss: 1.0276, seg_loss: 4.2279...
2022-11-02 22:22:57,017 - dist_train_coco_seg_neg2.py - INFO: Iter: 400; Elasped: 0:06:55; ETA: 22:56:25; LR: 1.596e-05; cls_loss: 0.1331, cls_loss_aux: 0.2476, ptc_loss: 0.4238, ctc_loss: 0.8463, seg_loss: 4.3167...
2022-11-02 22:26:18,215 - dist_train_coco_seg_neg2.py - INFO: Iter: 600; Elasped: 0:10:16; ETA: 22:38:37; LR: 2.396e-05; cls_loss: 0.1213, cls_loss_aux: 0.1655, ptc_loss: 0.4065, ctc_loss: 0.7907, seg_loss: 4.3745...
2022-11-02 22:29:39,367 - dist_train_coco_seg_neg2.py - INFO: Iter: 800; Elasped: 0:13:37; ETA: 22:28:03; LR: 3.196e-05; cls_loss: 0.1055, cls_loss_aux: 0.1411, ptc_loss: 0.4016, ctc_loss: 0.6319, seg_loss: 4.2640...
2022-11-02 22:32:59,997 - dist_train_coco_seg_neg2.py - INFO: Iter: 1000; Elasped: 0:16:57; ETA: 22:19:03; LR: 3.996e-05; cls_loss: 0.0957, cls_loss_aux: 0.1372, ptc_loss: 0.4036, ctc_loss: 0.5412, seg_loss: 4.2882...
2022-11-02 22:36:20,291 - dist_train_coco_seg_neg2.py - INFO: Iter: 1200; Elasped: 0:20:18; ETA: 22:13:02; LR: 4.796e-05; cls_loss: 0.0804, cls_loss_aux: 0.1237, ptc_loss: 0.4024, ctc_loss: 0.3929, seg_loss: 4.2482...
2022-11-02 22:39:40,772 - dist_train_coco_seg_neg2.py - INFO: Iter: 1400; Elasped: 0:23:38; ETA: 22:06:50; LR: 5.596e-05; cls_loss: 0.0771, cls_loss_aux: 0.1222, ptc_loss: 0.4158, ctc_loss: 0.3177, seg_loss: 4.1815...
2022-11-02 22:43:01,326 - dist_train_coco_seg_neg2.py - INFO: Iter: 1600; Elasped: 0:26:59; ETA: 22:02:11; LR: 5.892e-05; cls_loss: 0.0719, cls_loss_aux: 0.1226, ptc_loss: 0.4242, ctc_loss: 0.2596, seg_loss: 4.0402...
2022-11-02 22:46:21,463 - dist_train_coco_seg_neg2.py - INFO: Iter: 1800; Elasped: 0:30:19; ETA: 21:57:05; LR: 5.878e-05; cls_loss: 0.0730, cls_loss_aux: 0.1179, ptc_loss: 0.4329, ctc_loss: 0.1471, seg_loss: 3.8745...
2022-11-02 22:49:41,780 - dist_train_coco_seg_neg2.py - INFO: Iter: 2000; Elasped: 0:33:39; ETA: 21:52:21; LR: 5.865e-05; cls_loss: 0.0617, cls_loss_aux: 0.0986, ptc_loss: 0.4410, ctc_loss: 0.2150, seg_loss: 3.9908...
2022-11-02 22:53:02,267 - dist_train_coco_seg_neg2.py - INFO: Iter: 2200; Elasped: 0:37:00; ETA: 21:48:27; LR: 5.851e-05; cls_loss: 0.0731, cls_loss_aux: 0.1105, ptc_loss: 0.4285, ctc_loss: 0.2171, seg_loss: 3.8641...
2022-11-02 22:56:22,264 - dist_train_coco_seg_neg2.py - INFO: Iter: 2400; Elasped: 0:40:20; ETA: 21:44:06; LR: 5.838e-05; cls_loss: 0.0670, cls_loss_aux: 0.1035, ptc_loss: 0.4241, ctc_loss: 0.2704, seg_loss: 3.8954...
2022-11-02 22:59:42,688 - dist_train_coco_seg_neg2.py - INFO: Iter: 2600; Elasped: 0:43:40; ETA: 21:39:55; LR: 5.824e-05; cls_loss: 0.0626, cls_loss_aux: 0.0955, ptc_loss: 0.4478, ctc_loss: 0.2057, seg_loss: 3.8742...
2022-11-02 23:03:02,925 - dist_train_coco_seg_neg2.py - INFO: Iter: 2800; Elasped: 0:47:00; ETA: 21:35:51; LR: 5.811e-05; cls_loss: 0.0667, cls_loss_aux: 0.1028, ptc_loss: 0.4549, ctc_loss: 0.2242, seg_loss: 3.9302...
2022-11-02 23:06:22,408 - dist_train_coco_seg_neg2.py - INFO: Iter: 3000; Elasped: 0:50:20; ETA: 21:31:53; LR: 5.797e-05; cls_loss: 0.0617, cls_loss_aux: 0.0873, ptc_loss: 0.4595, ctc_loss: 0.1914, seg_loss: 4.0108...
2022-11-02 23:09:41,956 - dist_train_coco_seg_neg2.py - INFO: Iter: 3200; Elasped: 0:53:39; ETA: 21:27:36; LR: 5.784e-05; cls_loss: 0.0590, cls_loss_aux: 0.0839, ptc_loss: 0.4517, ctc_loss: 0.2296, seg_loss: 3.9425...
2022-11-02 23:13:01,783 - dist_train_coco_seg_neg2.py - INFO: Iter: 3400; Elasped: 0:56:59; ETA: 21:23:48; LR: 5.770e-05; cls_loss: 0.0640, cls_loss_aux: 0.0936, ptc_loss: 0.4579, ctc_loss: 0.1371, seg_loss: 3.9212...
2022-11-02 23:16:22,100 - dist_train_coco_seg_neg2.py - INFO: Iter: 3600; Elasped: 1:00:20; ETA: 21:20:24; LR: 5.757e-05; cls_loss: 0.0649, cls_loss_aux: 0.0885, ptc_loss: 0.4641, ctc_loss: 0.1308, seg_loss: 3.9563...
2022-11-02 23:19:42,670 - dist_train_coco_seg_neg2.py - INFO: Iter: 3800; Elasped: 1:03:40; ETA: 21:16:41; LR: 5.743e-05; cls_loss: 0.0634, cls_loss_aux: 0.0860, ptc_loss: 0.4712, ctc_loss: 0.1492, seg_loss: 3.9451...
2022-11-02 23:23:02,690 - dist_train_coco_seg_neg2.py - INFO: Iter: 4000; Elasped: 1:07:00; ETA: 21:13:00; LR: 5.729e-05; cls_loss: 0.0612, cls_loss_aux: 0.0771, ptc_loss: 0.4729, ctc_loss: 0.1537, seg_loss: 3.8781...
2022-11-02 23:23:02,691 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-02 23:40:44,124 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.740266
2022-11-02 23:40:44,126 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 2.297  | 46.847  | 0.343    |
+----------------+--------+---------+----------+
| person         | 28.834 | 40.157  | 0.013    |
+----------------+--------+---------+----------+
| bicycle        | 13.960 | 16.211  | 0        |
+----------------+--------+---------+----------+
| car            | 13.486 | 15.199  | 0.013    |
+----------------+--------+---------+----------+
| motorcycle     | 30.746 | 52.407  | 0.546    |
+----------------+--------+---------+----------+
| airplane       | 12.649 | 48.334  | 0        |
+----------------+--------+---------+----------+
| bus            | 36.277 | 53.993  | 0        |
+----------------+--------+---------+----------+
| train          | 27.039 | 49.026  | 0        |
+----------------+--------+---------+----------+
| truck          | 27.935 | 15.488  | 0.019    |
+----------------+--------+---------+----------+
| boat           | 16.223 | 26.825  | 0.409    |
+----------------+--------+---------+----------+
| traffic light  | 5.991  | 6.021   | 0        |
+----------------+--------+---------+----------+
| fire hydrant   | 13.211 | 31.353  | 0        |
+----------------+--------+---------+----------+
| stop sign      | 7.704  | 22.587  | 0.054    |
+----------------+--------+---------+----------+
| parking meter  | 22.051 | 16.126  | 0        |
+----------------+--------+---------+----------+
| bench          | 18.090 | 25.066  | 0.129    |
+----------------+--------+---------+----------+
| bird           | 8.063  | 23.760  | 0.163    |
+----------------+--------+---------+----------+
| cat            | 39.090 | 70.539  | 0.010    |
+----------------+--------+---------+----------+
| dog            | 20.164 | 26.705  | 0.705    |
+----------------+--------+---------+----------+
| horse          | 18.327 | 47.552  | 0        |
+----------------+--------+---------+----------+
| sheep          | 16.227 | 42.614  | 0        |
+----------------+--------+---------+----------+
| cow            | 19.926 | 54.545  | 0        |
+----------------+--------+---------+----------+
| elephant       | 29.965 | 70.561  | 0        |
+----------------+--------+---------+----------+
| bear           | 24.594 | 48.332  | 0        |
+----------------+--------+---------+----------+
| zebra          | 26.777 | 68.842  | 0.660    |
+----------------+--------+---------+----------+
| giraffe        | 16.504 | 51.330  | 0.011    |
+----------------+--------+---------+----------+
| backpack       | 5.732  | 5.822   | 0.058    |
+----------------+--------+---------+----------+
| umbrella       | 33.734 | 31.286  | 0.009    |
+----------------+--------+---------+----------+
| handbag        | 6.241  | 3.706   | 0        |
+----------------+--------+---------+----------+
| tie            | 4.887  | 7.353   | 0        |
+----------------+--------+---------+----------+
| suitcase       | 27.416 | 36.977  | 1.001    |
+----------------+--------+---------+----------+
| frisbee        | 3.422  | 6.682   | 0.060    |
+----------------+--------+---------+----------+
| skis           | 2.203  | 2.944   | 0        |
+----------------+--------+---------+----------+
| snowboard      | 3.160  | 4.561   | 0        |
+----------------+--------+---------+----------+
| sports ball    | 1.646  | 4.925   | 0.009    |
+----------------+--------+---------+----------+
| kite           | 3.251  | 13.472  | 0.015    |
+----------------+--------+---------+----------+
| baseball bat   | 0.452  | 0.435   | 0        |
+----------------+--------+---------+----------+
| baseball glove | 1.849  | 3.598   | 0.003    |
+----------------+--------+---------+----------+
| skateboard     | 2.601  | 5.074   | 0.007    |
+----------------+--------+---------+----------+
| surfboard      | 3.304  | 4.174   | 0        |
+----------------+--------+---------+----------+
| tennis racket  | 1.822  | 2.213   | 0        |
+----------------+--------+---------+----------+
| bottle         | 7.496  | 6.152   | 0.115    |
+----------------+--------+---------+----------+
| wine glass     | 10.500 | 15.034  | 0        |
+----------------+--------+---------+----------+
| cup            | 9.371  | 15.825  | 0        |
+----------------+--------+---------+----------+
| fork           | 1.623  | 2.619   | 0        |
+----------------+--------+---------+----------+
| knife          | 4.457  | 4.246   | 0        |
+----------------+--------+---------+----------+
| spoon          | 1.416  | 1.690   | 0        |
+----------------+--------+---------+----------+
| bowl           | 19.961 | 13.054  | 1.794    |
+----------------+--------+---------+----------+
| banana         | 28.269 | 63.536  | 0        |
+----------------+--------+---------+----------+
| apple          | 21.013 | 41.266  | 0.140    |
+----------------+--------+---------+----------+
| sandwich       | 31.182 | 24.796  | 0        |
+----------------+--------+---------+----------+
| orange         | 39.141 | 48.519  | 0        |
+----------------+--------+---------+----------+
| broccoli       | 30.395 | 50.547  | 0.000    |
+----------------+--------+---------+----------+
| carrot         | 16.657 | 18.556  | 0.003    |
+----------------+--------+---------+----------+
| hot dog        | 20.114 | 37.590  | 0.000    |
+----------------+--------+---------+----------+
| pizza          | 50.324 | 57.538  | 0        |
+----------------+--------+---------+----------+
| donut          | 29.629 | 34.301  | 0        |
+----------------+--------+---------+----------+
| cake           | 30.536 | 27.339  | 0        |
+----------------+--------+---------+----------+
| chair          | 14.022 | 16.586  | 0.016    |
+----------------+--------+---------+----------+
| couch          | 33.689 | 34.337  | 0.001    |
+----------------+--------+---------+----------+
| potted plant   | 12.007 | 15.331  | 0        |
+----------------+--------+---------+----------+
| bed            | 35.558 | 40.523  | 0        |
+----------------+--------+---------+----------+
| dining table   | 36.775 | 27.615  | 0.001    |
+----------------+--------+---------+----------+
| toilet         | 21.098 | 49.389  | 0        |
+----------------+--------+---------+----------+
| tv             | 26.779 | 27.002  | 0.002    |
+----------------+--------+---------+----------+
| laptop         | 30.020 | 36.957  | 0        |
+----------------+--------+---------+----------+
| mouse          | 3.860  | 8.479   | 0        |
+----------------+--------+---------+----------+
| remote         | 5.716  | 10.786  | 0        |
+----------------+--------+---------+----------+
| keyboard       | 28.002 | 29.419  | 0.031    |
+----------------+--------+---------+----------+
| cell phone     | 8.115  | 11.089  | 0        |
+----------------+--------+---------+----------+
| microwave      | 14.728 | 21.381  | 0.047    |
+----------------+--------+---------+----------+
| oven           | 27.551 | 26.223  | 0.076    |
+----------------+--------+---------+----------+
| toaster        | 3.048  | 6.995   | 0        |
+----------------+--------+---------+----------+
| sink           | 6.296  | 9.296   | 0.155    |
+----------------+--------+---------+----------+
| refrigerator   | 35.391 | 33.438  | 0.249    |
+----------------+--------+---------+----------+
| book           | 20.026 | 19.204  | 0.554    |
+----------------+--------+---------+----------+
| clock          | 6.075  | 24.579  | 0        |
+----------------+--------+---------+----------+
| vase           | 13.092 | 20.971  | 0        |
+----------------+--------+---------+----------+
| scissors       | 8.088  | 18.611  | 0.007    |
+----------------+--------+---------+----------+
| teddy bear     | 36.735 | 45.640  | 0.024    |
+----------------+--------+---------+----------+
| hair drier     | 4.764  | 2.225   | 0        |
+----------------+--------+---------+----------+
| toothbrush     | 5.398  | 6.075   | 0        |
+----------------+--------+---------+----------+
| mIoU           | 17.121 | 26.030  | 0.092    |
+----------------+--------+---------+----------+
2022-11-02 23:44:01,244 - dist_train_coco_seg_neg2.py - INFO: Iter: 4200; Elasped: 1:27:59; ETA: 1 day, 2:27:53; LR: 5.716e-05; cls_loss: 0.0589, cls_loss_aux: 0.0723, ptc_loss: 0.4720, ctc_loss: 0.1633, seg_loss: 3.9827...
2022-11-02 23:47:15,686 - dist_train_coco_seg_neg2.py - INFO: Iter: 4400; Elasped: 1:31:13; ETA: 1 day, 2:07:16; LR: 5.702e-05; cls_loss: 0.0588, cls_loss_aux: 0.0740, ptc_loss: 0.4753, ctc_loss: 0.1763, seg_loss: 3.9164...
2022-11-02 23:50:30,495 - dist_train_coco_seg_neg2.py - INFO: Iter: 4600; Elasped: 1:34:28; ETA: 1 day, 1:48:25; LR: 5.689e-05; cls_loss: 0.0637, cls_loss_aux: 0.0772, ptc_loss: 0.4740, ctc_loss: 0.1618, seg_loss: 3.9153...
2022-11-02 23:53:45,418 - dist_train_coco_seg_neg2.py - INFO: Iter: 4800; Elasped: 1:37:43; ETA: 1 day, 1:30:53; LR: 5.675e-05; cls_loss: 0.0610, cls_loss_aux: 0.0727, ptc_loss: 0.4733, ctc_loss: 0.1517, seg_loss: 3.7725...
2022-11-02 23:57:00,385 - dist_train_coco_seg_neg2.py - INFO: Iter: 5000; Elasped: 1:40:58; ETA: 1 day, 1:14:30; LR: 5.661e-05; cls_loss: 0.0600, cls_loss_aux: 0.0724, ptc_loss: 0.4763, ctc_loss: 0.1219, seg_loss: 3.8383...
2022-11-03 00:00:15,241 - dist_train_coco_seg_neg2.py - INFO: Iter: 5200; Elasped: 1:44:13; ETA: 1 day, 0:59:07; LR: 5.648e-05; cls_loss: 0.0590, cls_loss_aux: 0.0724, ptc_loss: 0.4759, ctc_loss: 0.1784, seg_loss: 3.9492...
2022-11-03 00:03:30,272 - dist_train_coco_seg_neg2.py - INFO: Iter: 5400; Elasped: 1:47:28; ETA: 1 day, 0:44:37; LR: 5.634e-05; cls_loss: 0.0599, cls_loss_aux: 0.0705, ptc_loss: 0.4725, ctc_loss: 0.1738, seg_loss: 3.8179...
2022-11-03 00:06:44,937 - dist_train_coco_seg_neg2.py - INFO: Iter: 5600; Elasped: 1:50:42; ETA: 1 day, 0:30:43; LR: 5.621e-05; cls_loss: 0.0617, cls_loss_aux: 0.0726, ptc_loss: 0.4738, ctc_loss: 0.2019, seg_loss: 3.8625...
2022-11-03 00:09:59,312 - dist_train_coco_seg_neg2.py - INFO: Iter: 5800; Elasped: 1:53:57; ETA: 1 day, 0:17:46; LR: 5.607e-05; cls_loss: 0.0572, cls_loss_aux: 0.0706, ptc_loss: 0.4781, ctc_loss: 0.1889, seg_loss: 4.0059...
2022-11-03 00:13:13,768 - dist_train_coco_seg_neg2.py - INFO: Iter: 6000; Elasped: 1:57:11; ETA: 1 day, 0:05:15; LR: 5.594e-05; cls_loss: 0.0586, cls_loss_aux: 0.0705, ptc_loss: 0.4731, ctc_loss: 0.2169, seg_loss: 4.0164...
2022-11-03 00:16:28,143 - dist_train_coco_seg_neg2.py - INFO: Iter: 6200; Elasped: 2:00:26; ETA: 23:53:32; LR: 5.580e-05; cls_loss: 0.0530, cls_loss_aux: 0.0623, ptc_loss: 0.4724, ctc_loss: 0.1949, seg_loss: 3.9714...
2022-11-03 00:19:42,697 - dist_train_coco_seg_neg2.py - INFO: Iter: 6400; Elasped: 2:03:40; ETA: 23:42:10; LR: 5.566e-05; cls_loss: 0.0552, cls_loss_aux: 0.0673, ptc_loss: 0.4755, ctc_loss: 0.2207, seg_loss: 4.0154...
2022-11-03 00:22:57,022 - dist_train_coco_seg_neg2.py - INFO: Iter: 6600; Elasped: 2:06:55; ETA: 23:31:28; LR: 5.553e-05; cls_loss: 0.0566, cls_loss_aux: 0.0673, ptc_loss: 0.4742, ctc_loss: 0.2167, seg_loss: 4.0248...
2022-11-03 00:26:11,261 - dist_train_coco_seg_neg2.py - INFO: Iter: 6800; Elasped: 2:10:09; ETA: 23:21:01; LR: 5.539e-05; cls_loss: 0.0592, cls_loss_aux: 0.0712, ptc_loss: 0.4767, ctc_loss: 0.2171, seg_loss: 3.9504...
2022-11-03 00:29:25,561 - dist_train_coco_seg_neg2.py - INFO: Iter: 7000; Elasped: 2:13:23; ETA: 23:10:59; LR: 5.525e-05; cls_loss: 0.0563, cls_loss_aux: 0.0682, ptc_loss: 0.4746, ctc_loss: 0.2491, seg_loss: 4.0057...
2022-11-03 00:32:40,492 - dist_train_coco_seg_neg2.py - INFO: Iter: 7200; Elasped: 2:16:38; ETA: 23:01:30; LR: 5.512e-05; cls_loss: 0.0611, cls_loss_aux: 0.0730, ptc_loss: 0.4759, ctc_loss: 0.2370, seg_loss: 4.0144...
2022-11-03 00:35:54,585 - dist_train_coco_seg_neg2.py - INFO: Iter: 7400; Elasped: 2:19:52; ETA: 22:52:12; LR: 5.498e-05; cls_loss: 0.0558, cls_loss_aux: 0.0657, ptc_loss: 0.4746, ctc_loss: 0.2723, seg_loss: 4.0493...
2022-11-03 00:39:08,471 - dist_train_coco_seg_neg2.py - INFO: Iter: 7600; Elasped: 2:23:06; ETA: 22:43:12; LR: 5.485e-05; cls_loss: 0.0589, cls_loss_aux: 0.0707, ptc_loss: 0.4770, ctc_loss: 0.2429, seg_loss: 3.9942...
2022-11-03 00:42:23,150 - dist_train_coco_seg_neg2.py - INFO: Iter: 7800; Elasped: 2:26:21; ETA: 22:34:40; LR: 5.471e-05; cls_loss: 0.0561, cls_loss_aux: 0.0653, ptc_loss: 0.4746, ctc_loss: 0.2764, seg_loss: 4.0697...
2022-11-03 00:45:37,263 - dist_train_coco_seg_neg2.py - INFO: Iter: 8000; Elasped: 2:29:35; ETA: 22:26:15; LR: 5.457e-05; cls_loss: 0.0576, cls_loss_aux: 0.0686, ptc_loss: 0.4681, ctc_loss: 0.2783, seg_loss: 4.1254...
2022-11-03 00:45:37,265 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 01:03:23,360 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.761540
2022-11-03 01:03:23,363 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 11.610 | 52.426  | 0.399    |
+----------------+--------+---------+----------+
| person         | 29.999 | 41.295  | 0.005    |
+----------------+--------+---------+----------+
| bicycle        | 17.767 | 31.270  | 0        |
+----------------+--------+---------+----------+
| car            | 18.742 | 20.230  | 0.019    |
+----------------+--------+---------+----------+
| motorcycle     | 36.956 | 57.996  | 0.014    |
+----------------+--------+---------+----------+
| airplane       | 13.330 | 49.314  | 0        |
+----------------+--------+---------+----------+
| bus            | 49.544 | 55.541  | 0        |
+----------------+--------+---------+----------+
| train          | 24.561 | 49.408  | 0        |
+----------------+--------+---------+----------+
| truck          | 35.838 | 36.755  | 0.000    |
+----------------+--------+---------+----------+
| boat           | 17.011 | 37.687  | 0.446    |
+----------------+--------+---------+----------+
| traffic light  | 6.072  | 7.121   | 0        |
+----------------+--------+---------+----------+
| fire hydrant   | 11.594 | 24.074  | 0        |
+----------------+--------+---------+----------+
| stop sign      | 8.211  | 49.859  | 0.045    |
+----------------+--------+---------+----------+
| parking meter  | 24.098 | 49.652  | 0        |
+----------------+--------+---------+----------+
| bench          | 22.030 | 37.195  | 0.083    |
+----------------+--------+---------+----------+
| bird           | 8.238  | 23.296  | 0.045    |
+----------------+--------+---------+----------+
| cat            | 43.893 | 72.866  | 0.073    |
+----------------+--------+---------+----------+
| dog            | 19.822 | 40.623  | 0.236    |
+----------------+--------+---------+----------+
| horse          | 16.357 | 53.665  | 0        |
+----------------+--------+---------+----------+
| sheep          | 13.091 | 37.972  | 0        |
+----------------+--------+---------+----------+
| cow            | 16.214 | 48.576  | 0        |
+----------------+--------+---------+----------+
| elephant       | 20.350 | 74.336  | 0        |
+----------------+--------+---------+----------+
| bear           | 12.741 | 66.011  | 0        |
+----------------+--------+---------+----------+
| zebra          | 31.676 | 69.183  | 1.196    |
+----------------+--------+---------+----------+
| giraffe        | 6.809  | 60.403  | 0.025    |
+----------------+--------+---------+----------+
| backpack       | 6.808  | 18.666  | 0.025    |
+----------------+--------+---------+----------+
| umbrella       | 41.889 | 47.661  | 0.029    |
+----------------+--------+---------+----------+
| handbag        | 6.022  | 6.350   | 0.012    |
+----------------+--------+---------+----------+
| tie            | 5.071  | 8.742   | 0        |
+----------------+--------+---------+----------+
| suitcase       | 34.514 | 28.292  | 0.524    |
+----------------+--------+---------+----------+
| frisbee        | 3.482  | 18.290  | 0        |
+----------------+--------+---------+----------+
| skis           | 2.428  | 2.683   | 0.002    |
+----------------+--------+---------+----------+
| snowboard      | 3.811  | 7.559   | 0        |
+----------------+--------+---------+----------+
| sports ball    | 2.147  | 12.982  | 0.016    |
+----------------+--------+---------+----------+
| kite           | 3.260  | 12.538  | 0.087    |
+----------------+--------+---------+----------+
| baseball bat   | 0.568  | 0.622   | 0        |
+----------------+--------+---------+----------+
| baseball glove | 2.557  | 3.204   | 0.002    |
+----------------+--------+---------+----------+
| skateboard     | 1.990  | 8.024   | 0        |
+----------------+--------+---------+----------+
| surfboard      | 3.909  | 3.626   | 0        |
+----------------+--------+---------+----------+
| tennis racket  | 2.238  | 2.597   | 0        |
+----------------+--------+---------+----------+
| bottle         | 6.353  | 12.818  | 0.036    |
+----------------+--------+---------+----------+
| wine glass     | 12.296 | 13.966  | 0        |
+----------------+--------+---------+----------+
| cup            | 14.506 | 25.843  | 0        |
+----------------+--------+---------+----------+
| fork           | 2.163  | 3.469   | 0        |
+----------------+--------+---------+----------+
| knife          | 3.733  | 4.053   | 0        |
+----------------+--------+---------+----------+
| spoon          | 2.386  | 2.258   | 0        |
+----------------+--------+---------+----------+
| bowl           | 20.190 | 23.046  | 0.824    |
+----------------+--------+---------+----------+
| banana         | 44.323 | 57.004  | 0.065    |
+----------------+--------+---------+----------+
| apple          | 26.391 | 36.693  | 3.426    |
+----------------+--------+---------+----------+
| sandwich       | 30.117 | 34.194  | 0.000    |
+----------------+--------+---------+----------+
| orange         | 45.237 | 52.155  | 0        |
+----------------+--------+---------+----------+
| broccoli       | 38.390 | 48.130  | 0.017    |
+----------------+--------+---------+----------+
| carrot         | 24.046 | 46.739  | 0        |
+----------------+--------+---------+----------+
| hot dog        | 25.384 | 38.538  | 0.009    |
+----------------+--------+---------+----------+
| pizza          | 56.334 | 54.037  | 0        |
+----------------+--------+---------+----------+
| donut          | 37.895 | 68.007  | 0        |
+----------------+--------+---------+----------+
| cake           | 31.877 | 44.618  | 0        |
+----------------+--------+---------+----------+
| chair          | 15.986 | 15.439  | 0.011    |
+----------------+--------+---------+----------+
| couch          | 35.899 | 41.631  | 0.016    |
+----------------+--------+---------+----------+
| potted plant   | 12.444 | 13.616  | 0        |
+----------------+--------+---------+----------+
| bed            | 36.931 | 50.606  | 0        |
+----------------+--------+---------+----------+
| dining table   | 38.104 | 32.914  | 0.003    |
+----------------+--------+---------+----------+
| toilet         | 22.157 | 53.310  | 0        |
+----------------+--------+---------+----------+
| tv             | 34.320 | 36.732  | 0        |
+----------------+--------+---------+----------+
| laptop         | 37.767 | 40.682  | 0        |
+----------------+--------+---------+----------+
| mouse          | 3.719  | 9.302   | 0.000    |
+----------------+--------+---------+----------+
| remote         | 7.836  | 13.634  | 0.000    |
+----------------+--------+---------+----------+
| keyboard       | 38.633 | 34.423  | 0.004    |
+----------------+--------+---------+----------+
| cell phone     | 8.670  | 35.467  | 0        |
+----------------+--------+---------+----------+
| microwave      | 25.379 | 28.190  | 0.003    |
+----------------+--------+---------+----------+
| oven           | 28.812 | 29.062  | 0.093    |
+----------------+--------+---------+----------+
| toaster        | 8.180  | 8.802   | 0        |
+----------------+--------+---------+----------+
| sink           | 7.391  | 6.644   | 0.001    |
+----------------+--------+---------+----------+
| refrigerator   | 43.632 | 42.226  | 0.224    |
+----------------+--------+---------+----------+
| book           | 19.306 | 32.814  | 1.757    |
+----------------+--------+---------+----------+
| clock          | 4.500  | 13.304  | 0        |
+----------------+--------+---------+----------+
| vase           | 11.342 | 15.244  | 0        |
+----------------+--------+---------+----------+
| scissors       | 8.375  | 28.904  | 0.189    |
+----------------+--------+---------+----------+
| teddy bear     | 39.061 | 56.345  | 0.001    |
+----------------+--------+---------+----------+
| hair drier     | 2.452  | 4.093   | 0        |
+----------------+--------+---------+----------+
| toothbrush     | 5.711  | 8.783   | 0        |
+----------------+--------+---------+----------+
| mIoU           | 19.203 | 31.436  | 0.123    |
+----------------+--------+---------+----------+
2022-11-03 01:06:37,455 - dist_train_coco_seg_neg2.py - INFO: Iter: 8200; Elasped: 2:50:35; ETA: 1 day, 0:53:38; LR: 5.444e-05; cls_loss: 0.0624, cls_loss_aux: 0.0714, ptc_loss: 0.4668, ctc_loss: 0.3175, seg_loss: 2.5878...
2022-11-03 01:09:51,823 - dist_train_coco_seg_neg2.py - INFO: Iter: 8400; Elasped: 2:53:49; ETA: 1 day, 0:41:34; LR: 5.430e-05; cls_loss: 0.0634, cls_loss_aux: 0.0729, ptc_loss: 0.4573, ctc_loss: 0.4184, seg_loss: 1.8066...
2022-11-03 01:13:06,268 - dist_train_coco_seg_neg2.py - INFO: Iter: 8600; Elasped: 2:57:04; ETA: 1 day, 0:30:03; LR: 5.416e-05; cls_loss: 0.0638, cls_loss_aux: 0.0765, ptc_loss: 0.4411, ctc_loss: 0.5137, seg_loss: 1.5690...
2022-11-03 01:16:20,620 - dist_train_coco_seg_neg2.py - INFO: Iter: 8800; Elasped: 3:00:18; ETA: 1 day, 0:18:47; LR: 5.403e-05; cls_loss: 0.0603, cls_loss_aux: 0.0722, ptc_loss: 0.4346, ctc_loss: 0.7075, seg_loss: 1.4468...
2022-11-03 01:19:35,569 - dist_train_coco_seg_neg2.py - INFO: Iter: 9000; Elasped: 3:03:33; ETA: 1 day, 0:08:00; LR: 5.389e-05; cls_loss: 0.0599, cls_loss_aux: 0.0710, ptc_loss: 0.4149, ctc_loss: 0.7672, seg_loss: 1.3693...
2022-11-03 01:22:49,562 - dist_train_coco_seg_neg2.py - INFO: Iter: 9200; Elasped: 3:06:47; ETA: 23:57:25; LR: 5.375e-05; cls_loss: 0.0595, cls_loss_aux: 0.0708, ptc_loss: 0.4180, ctc_loss: 0.6417, seg_loss: 1.3354...
2022-11-03 01:26:04,141 - dist_train_coco_seg_neg2.py - INFO: Iter: 9400; Elasped: 3:10:02; ETA: 23:47:16; LR: 5.362e-05; cls_loss: 0.0580, cls_loss_aux: 0.0686, ptc_loss: 0.4152, ctc_loss: 0.6884, seg_loss: 1.3132...
2022-11-03 01:29:18,449 - dist_train_coco_seg_neg2.py - INFO: Iter: 9600; Elasped: 3:13:16; ETA: 23:37:17; LR: 5.348e-05; cls_loss: 0.0572, cls_loss_aux: 0.0666, ptc_loss: 0.4051, ctc_loss: 0.6889, seg_loss: 1.1189...
2022-11-03 01:32:32,926 - dist_train_coco_seg_neg2.py - INFO: Iter: 9800; Elasped: 3:16:30; ETA: 23:27:34; LR: 5.334e-05; cls_loss: 0.0609, cls_loss_aux: 0.0722, ptc_loss: 0.4018, ctc_loss: 0.6361, seg_loss: 1.1835...
2022-11-03 01:35:47,127 - dist_train_coco_seg_neg2.py - INFO: Iter: 10000; Elasped: 3:19:45; ETA: 23:18:15; LR: 5.321e-05; cls_loss: 0.0625, cls_loss_aux: 0.0732, ptc_loss: 0.3909, ctc_loss: 0.9261, seg_loss: 1.1606...
2022-11-03 01:39:01,295 - dist_train_coco_seg_neg2.py - INFO: Iter: 10200; Elasped: 3:22:59; ETA: 23:09:02; LR: 5.307e-05; cls_loss: 0.0606, cls_loss_aux: 0.0698, ptc_loss: 0.3873, ctc_loss: 0.8115, seg_loss: 1.1203...
2022-11-03 01:42:17,820 - dist_train_coco_seg_neg2.py - INFO: Iter: 10400; Elasped: 3:26:15; ETA: 23:00:17; LR: 5.293e-05; cls_loss: 0.0541, cls_loss_aux: 0.0647, ptc_loss: 0.3816, ctc_loss: 0.9229, seg_loss: 1.0492...
2022-11-03 01:45:31,504 - dist_train_coco_seg_neg2.py - INFO: Iter: 10600; Elasped: 3:29:29; ETA: 22:51:31; LR: 5.280e-05; cls_loss: 0.0612, cls_loss_aux: 0.0706, ptc_loss: 0.3843, ctc_loss: 0.7991, seg_loss: 1.0460...
2022-11-03 01:48:44,905 - dist_train_coco_seg_neg2.py - INFO: Iter: 10800; Elasped: 3:32:42; ETA: 22:42:51; LR: 5.266e-05; cls_loss: 0.0629, cls_loss_aux: 0.0746, ptc_loss: 0.3949, ctc_loss: 0.8065, seg_loss: 1.0360...
2022-11-03 01:51:58,516 - dist_train_coco_seg_neg2.py - INFO: Iter: 11000; Elasped: 3:35:56; ETA: 22:34:29; LR: 5.252e-05; cls_loss: 0.0593, cls_loss_aux: 0.0705, ptc_loss: 0.3848, ctc_loss: 0.8766, seg_loss: 1.1422...
2022-11-03 01:55:11,937 - dist_train_coco_seg_neg2.py - INFO: Iter: 11200; Elasped: 3:39:09; ETA: 22:26:12; LR: 5.238e-05; cls_loss: 0.0591, cls_loss_aux: 0.0707, ptc_loss: 0.3839, ctc_loss: 0.9512, seg_loss: 0.9608...
2022-11-03 01:58:25,374 - dist_train_coco_seg_neg2.py - INFO: Iter: 11400; Elasped: 3:42:23; ETA: 22:18:12; LR: 5.225e-05; cls_loss: 0.0609, cls_loss_aux: 0.0721, ptc_loss: 0.3864, ctc_loss: 0.9136, seg_loss: 0.9361...
2022-11-03 02:01:38,776 - dist_train_coco_seg_neg2.py - INFO: Iter: 11600; Elasped: 3:45:36; ETA: 22:10:15; LR: 5.211e-05; cls_loss: 0.0534, cls_loss_aux: 0.0632, ptc_loss: 0.3731, ctc_loss: 1.0877, seg_loss: 0.8152...
2022-11-03 02:04:52,085 - dist_train_coco_seg_neg2.py - INFO: Iter: 11800; Elasped: 3:48:50; ETA: 22:02:34; LR: 5.197e-05; cls_loss: 0.0601, cls_loss_aux: 0.0719, ptc_loss: 0.3826, ctc_loss: 1.0979, seg_loss: 0.8861...
2022-11-03 02:08:05,576 - dist_train_coco_seg_neg2.py - INFO: Iter: 12000; Elasped: 3:52:03; ETA: 21:54:57; LR: 5.184e-05; cls_loss: 0.0582, cls_loss_aux: 0.0677, ptc_loss: 0.3782, ctc_loss: 0.9158, seg_loss: 0.8989...
2022-11-03 02:08:05,579 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 02:26:45,626 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.761357
2022-11-03 02:26:45,628 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 74.129 | 68.942  | 74.700   |
+----------------+--------+---------+----------+
| person         | 38.372 | 50.978  | 48.770   |
+----------------+--------+---------+----------+
| bicycle        | 32.897 | 24.337  | 19.718   |
+----------------+--------+---------+----------+
| car            | 32.694 | 30.071  | 26.424   |
+----------------+--------+---------+----------+
| motorcycle     | 44.752 | 48.017  | 26.989   |
+----------------+--------+---------+----------+
| airplane       | 65.905 | 70.404  | 64.036   |
+----------------+--------+---------+----------+
| bus            | 59.974 | 51.590  | 58.451   |
+----------------+--------+---------+----------+
| train          | 52.407 | 44.004  | 42.840   |
+----------------+--------+---------+----------+
| truck          | 45.376 | 38.455  | 31.488   |
+----------------+--------+---------+----------+
| boat           | 51.203 | 41.157  | 35.190   |
+----------------+--------+---------+----------+
| traffic light  | 19.619 | 18.093  | 28.988   |
+----------------+--------+---------+----------+
| fire hydrant   | 54.443 | 33.206  | 70.206   |
+----------------+--------+---------+----------+
| stop sign      | 55.591 | 69.851  | 51.291   |
+----------------+--------+---------+----------+
| parking meter  | 54.648 | 47.064  | 46.026   |
+----------------+--------+---------+----------+
| bench          | 29.750 | 41.829  | 27.899   |
+----------------+--------+---------+----------+
| bird           | 52.549 | 30.175  | 53.167   |
+----------------+--------+---------+----------+
| cat            | 69.770 | 70.431  | 55.056   |
+----------------+--------+---------+----------+
| dog            | 57.811 | 44.065  | 31.640   |
+----------------+--------+---------+----------+
| horse          | 69.991 | 62.166  | 56.655   |
+----------------+--------+---------+----------+
| sheep          | 74.327 | 63.100  | 70.768   |
+----------------+--------+---------+----------+
| cow            | 71.523 | 63.725  | 60.942   |
+----------------+--------+---------+----------+
| elephant       | 78.166 | 77.067  | 78.265   |
+----------------+--------+---------+----------+
| bear           | 69.246 | 59.314  | 9.909    |
+----------------+--------+---------+----------+
| zebra          | 78.795 | 73.578  | 77.436   |
+----------------+--------+---------+----------+
| giraffe        | 73.912 | 70.921  | 71.693   |
+----------------+--------+---------+----------+
| backpack       | 17.449 | 20.646  | 1.876    |
+----------------+--------+---------+----------+
| umbrella       | 53.031 | 57.963  | 42.130   |
+----------------+--------+---------+----------+
| handbag        | 11.405 | 9.050   | 0.318    |
+----------------+--------+---------+----------+
| tie            | 11.854 | 15.393  | 18.728   |
+----------------+--------+---------+----------+
| suitcase       | 51.557 | 52.708  | 34.571   |
+----------------+--------+---------+----------+
| frisbee        | 20.202 | 21.824  | 14.647   |
+----------------+--------+---------+----------+
| skis           | 8.786  | 6.116   | 10.571   |
+----------------+--------+---------+----------+
| snowboard      | 18.419 | 14.760  | 15.859   |
+----------------+--------+---------+----------+
| sports ball    | 2.788  | 6.812   | 0        |
+----------------+--------+---------+----------+
| kite           | 29.084 | 28.258  | 34.409   |
+----------------+--------+---------+----------+
| baseball bat   | 0.913  | 0.764   | 0.484    |
+----------------+--------+---------+----------+
| baseball glove | 4.546  | 4.736   | 2.138    |
+----------------+--------+---------+----------+
| skateboard     | 11.915 | 10.684  | 9.495    |
+----------------+--------+---------+----------+
| surfboard      | 9.565  | 8.340   | 6.626    |
+----------------+--------+---------+----------+
| tennis racket  | 4.149  | 3.287   | 2.325    |
+----------------+--------+---------+----------+
| bottle         | 11.090 | 10.848  | 2.845    |
+----------------+--------+---------+----------+
| wine glass     | 15.820 | 22.519  | 7.194    |
+----------------+--------+---------+----------+
| cup            | 11.562 | 14.431  | 8.810    |
+----------------+--------+---------+----------+
| fork           | 3.555  | 6.418   | 0        |
+----------------+--------+---------+----------+
| knife          | 4.524  | 17.188  | 0.021    |
+----------------+--------+---------+----------+
| spoon          | 2.856  | 5.892   | 0        |
+----------------+--------+---------+----------+
| bowl           | 19.953 | 11.165  | 1.495    |
+----------------+--------+---------+----------+
| banana         | 56.035 | 59.246  | 57.854   |
+----------------+--------+---------+----------+
| apple          | 38.866 | 43.667  | 27.642   |
+----------------+--------+---------+----------+
| sandwich       | 40.809 | 41.615  | 33.460   |
+----------------+--------+---------+----------+
| orange         | 59.330 | 33.545  | 42.711   |
+----------------+--------+---------+----------+
| broccoli       | 51.382 | 53.066  | 33.538   |
+----------------+--------+---------+----------+
| carrot         | 23.603 | 28.909  | 21.159   |
+----------------+--------+---------+----------+
| hot dog        | 41.897 | 55.913  | 45.186   |
+----------------+--------+---------+----------+
| pizza          | 68.846 | 58.975  | 49.679   |
+----------------+--------+---------+----------+
| donut          | 63.025 | 62.419  | 51.550   |
+----------------+--------+---------+----------+
| cake           | 42.824 | 38.503  | 37.267   |
+----------------+--------+---------+----------+
| chair          | 21.887 | 17.652  | 7.095    |
+----------------+--------+---------+----------+
| couch          | 44.425 | 44.007  | 22.768   |
+----------------+--------+---------+----------+
| potted plant   | 14.116 | 12.758  | 0.794    |
+----------------+--------+---------+----------+
| bed            | 50.418 | 41.327  | 41.619   |
+----------------+--------+---------+----------+
| dining table   | 31.561 | 36.141  | 21.484   |
+----------------+--------+---------+----------+
| toilet         | 62.039 | 63.406  | 59.930   |
+----------------+--------+---------+----------+
| tv             | 40.850 | 41.430  | 30.826   |
+----------------+--------+---------+----------+
| laptop         | 46.945 | 45.889  | 37.648   |
+----------------+--------+---------+----------+
| mouse          | 8.851  | 4.732   | 2.748    |
+----------------+--------+---------+----------+
| remote         | 17.157 | 44.160  | 37.679   |
+----------------+--------+---------+----------+
| keyboard       | 36.542 | 37.685  | 8.682    |
+----------------+--------+---------+----------+
| cell phone     | 20.452 | 30.081  | 21.082   |
+----------------+--------+---------+----------+
| microwave      | 16.169 | 25.953  | 0.046    |
+----------------+--------+---------+----------+
| oven           | 26.731 | 23.232  | 15.198   |
+----------------+--------+---------+----------+
| toaster        | 15.177 | 17.286  | 0        |
+----------------+--------+---------+----------+
| sink           | 17.429 | 9.418   | 8.312    |
+----------------+--------+---------+----------+
| refrigerator   | 45.701 | 37.361  | 43.425   |
+----------------+--------+---------+----------+
| book           | 29.023 | 36.856  | 15.716   |
+----------------+--------+---------+----------+
| clock          | 22.441 | 19.799  | 23.174   |
+----------------+--------+---------+----------+
| vase           | 20.297 | 31.839  | 32.363   |
+----------------+--------+---------+----------+
| scissors       | 17.820 | 38.420  | 35.020   |
+----------------+--------+---------+----------+
| teddy bear     | 62.177 | 66.283  | 58.898   |
+----------------+--------+---------+----------+
| hair drier     | 10.204 | 6.059   | 0        |
+----------------+--------+---------+----------+
| toothbrush     | 14.687 | 13.487  | 25.727   |
+----------------+--------+---------+----------+
| mIoU           | 35.958 | 35.351  | 29.424   |
+----------------+--------+---------+----------+
2022-11-03 02:29:59,295 - dist_train_coco_seg_neg2.py - INFO: Iter: 12200; Elasped: 4:13:57; ETA: 23:31:17; LR: 5.170e-05; cls_loss: 0.0713, cls_loss_aux: 0.0805, ptc_loss: 0.3284, ctc_loss: 2.7440, seg_loss: 0.9763...
2022-11-03 02:33:13,196 - dist_train_coco_seg_neg2.py - INFO: Iter: 12400; Elasped: 4:17:11; ETA: 23:22:03; LR: 5.156e-05; cls_loss: 0.0599, cls_loss_aux: 0.0687, ptc_loss: 0.2531, ctc_loss: 0.8778, seg_loss: 0.8266...
2022-11-03 02:36:26,643 - dist_train_coco_seg_neg2.py - INFO: Iter: 12600; Elasped: 4:20:24; ETA: 23:12:56; LR: 5.142e-05; cls_loss: 0.0614, cls_loss_aux: 0.0687, ptc_loss: 0.2255, ctc_loss: 0.8615, seg_loss: 0.8471...
2022-11-03 02:39:40,162 - dist_train_coco_seg_neg2.py - INFO: Iter: 12800; Elasped: 4:23:38; ETA: 23:04:04; LR: 5.129e-05; cls_loss: 0.0568, cls_loss_aux: 0.0647, ptc_loss: 0.2181, ctc_loss: 0.4941, seg_loss: 0.7402...
2022-11-03 02:42:53,989 - dist_train_coco_seg_neg2.py - INFO: Iter: 13000; Elasped: 4:26:51; ETA: 22:55:18; LR: 5.115e-05; cls_loss: 0.0581, cls_loss_aux: 0.0665, ptc_loss: 0.2040, ctc_loss: 0.3916, seg_loss: 0.7431...
2022-11-03 02:46:07,467 - dist_train_coco_seg_neg2.py - INFO: Iter: 13200; Elasped: 4:30:05; ETA: 22:46:47; LR: 5.101e-05; cls_loss: 0.0566, cls_loss_aux: 0.0652, ptc_loss: 0.2189, ctc_loss: 0.3700, seg_loss: 0.6960...
2022-11-03 02:49:21,021 - dist_train_coco_seg_neg2.py - INFO: Iter: 13400; Elasped: 4:33:19; ETA: 22:38:25; LR: 5.087e-05; cls_loss: 0.0576, cls_loss_aux: 0.0663, ptc_loss: 0.2275, ctc_loss: 0.3320, seg_loss: 0.7147...
2022-11-03 02:52:35,151 - dist_train_coco_seg_neg2.py - INFO: Iter: 13600; Elasped: 4:36:33; ETA: 22:30:12; LR: 5.074e-05; cls_loss: 0.0584, cls_loss_aux: 0.0668, ptc_loss: 0.2066, ctc_loss: 0.3563, seg_loss: 0.6671...
2022-11-03 02:55:48,594 - dist_train_coco_seg_neg2.py - INFO: Iter: 13800; Elasped: 4:39:46; ETA: 22:22:04; LR: 5.060e-05; cls_loss: 0.0551, cls_loss_aux: 0.0637, ptc_loss: 0.1893, ctc_loss: 0.3904, seg_loss: 0.7023...
2022-11-03 02:59:02,229 - dist_train_coco_seg_neg2.py - INFO: Iter: 14000; Elasped: 4:43:00; ETA: 22:14:08; LR: 5.046e-05; cls_loss: 0.0546, cls_loss_aux: 0.0630, ptc_loss: 0.1969, ctc_loss: 0.3490, seg_loss: 0.6788...
2022-11-03 03:02:15,895 - dist_train_coco_seg_neg2.py - INFO: Iter: 14200; Elasped: 4:46:13; ETA: 22:06:16; LR: 5.032e-05; cls_loss: 0.0643, cls_loss_aux: 0.0743, ptc_loss: 0.1886, ctc_loss: 0.2995, seg_loss: 0.7648...
2022-11-03 03:05:29,027 - dist_train_coco_seg_neg2.py - INFO: Iter: 14400; Elasped: 4:49:27; ETA: 21:58:36; LR: 5.019e-05; cls_loss: 0.0532, cls_loss_aux: 0.0623, ptc_loss: 0.1821, ctc_loss: 0.4142, seg_loss: 0.6114...
2022-11-03 03:08:42,754 - dist_train_coco_seg_neg2.py - INFO: Iter: 14600; Elasped: 4:52:40; ETA: 21:50:59; LR: 5.005e-05; cls_loss: 0.0582, cls_loss_aux: 0.0663, ptc_loss: 0.1920, ctc_loss: 0.3769, seg_loss: 0.7273...
2022-11-03 03:11:56,473 - dist_train_coco_seg_neg2.py - INFO: Iter: 14800; Elasped: 4:55:54; ETA: 21:43:33; LR: 4.991e-05; cls_loss: 0.0537, cls_loss_aux: 0.0634, ptc_loss: 0.1751, ctc_loss: 0.4255, seg_loss: 0.6088...
2022-11-03 03:15:09,711 - dist_train_coco_seg_neg2.py - INFO: Iter: 15000; Elasped: 4:59:07; ETA: 21:36:10; LR: 4.977e-05; cls_loss: 0.0565, cls_loss_aux: 0.0656, ptc_loss: 0.1885, ctc_loss: 0.4967, seg_loss: 0.7087...
2022-11-03 03:18:23,188 - dist_train_coco_seg_neg2.py - INFO: Iter: 15200; Elasped: 5:02:21; ETA: 21:28:57; LR: 4.964e-05; cls_loss: 0.0591, cls_loss_aux: 0.0672, ptc_loss: 0.1931, ctc_loss: 0.4717, seg_loss: 0.7414...
2022-11-03 03:21:36,897 - dist_train_coco_seg_neg2.py - INFO: Iter: 15400; Elasped: 5:05:34; ETA: 21:21:47; LR: 4.950e-05; cls_loss: 0.0532, cls_loss_aux: 0.0616, ptc_loss: 0.1750, ctc_loss: 0.4083, seg_loss: 0.7159...
2022-11-03 03:24:50,717 - dist_train_coco_seg_neg2.py - INFO: Iter: 15600; Elasped: 5:08:48; ETA: 21:14:47; LR: 4.936e-05; cls_loss: 0.0577, cls_loss_aux: 0.0676, ptc_loss: 0.1937, ctc_loss: 0.3625, seg_loss: 0.7081...
2022-11-03 03:28:04,279 - dist_train_coco_seg_neg2.py - INFO: Iter: 15800; Elasped: 5:12:02; ETA: 21:07:52; LR: 4.922e-05; cls_loss: 0.0551, cls_loss_aux: 0.0633, ptc_loss: 0.1660, ctc_loss: 0.3757, seg_loss: 0.6471...
2022-11-03 03:31:18,029 - dist_train_coco_seg_neg2.py - INFO: Iter: 16000; Elasped: 5:15:16; ETA: 21:01:04; LR: 4.908e-05; cls_loss: 0.0566, cls_loss_aux: 0.0647, ptc_loss: 0.1826, ctc_loss: 0.3933, seg_loss: 0.6942...
2022-11-03 03:31:18,030 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 03:49:05,329 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.765006
2022-11-03 03:49:05,332 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 75.744 | 70.443  | 76.284   |
+----------------+--------+---------+----------+
| person         | 38.186 | 44.766  | 38.238   |
+----------------+--------+---------+----------+
| bicycle        | 37.712 | 26.756  | 34.933   |
+----------------+--------+---------+----------+
| car            | 27.174 | 30.354  | 23.040   |
+----------------+--------+---------+----------+
| motorcycle     | 57.675 | 53.167  | 50.029   |
+----------------+--------+---------+----------+
| airplane       | 68.045 | 65.379  | 63.658   |
+----------------+--------+---------+----------+
| bus            | 59.889 | 59.651  | 58.847   |
+----------------+--------+---------+----------+
| train          | 53.779 | 49.814  | 51.159   |
+----------------+--------+---------+----------+
| truck          | 39.151 | 19.095  | 34.353   |
+----------------+--------+---------+----------+
| boat           | 46.125 | 39.764  | 45.422   |
+----------------+--------+---------+----------+
| traffic light  | 17.532 | 18.196  | 26.714   |
+----------------+--------+---------+----------+
| fire hydrant   | 54.723 | 66.021  | 62.034   |
+----------------+--------+---------+----------+
| stop sign      | 52.240 | 60.135  | 57.590   |
+----------------+--------+---------+----------+
| parking meter  | 55.576 | 34.109  | 52.349   |
+----------------+--------+---------+----------+
| bench          | 30.620 | 32.855  | 30.795   |
+----------------+--------+---------+----------+
| bird           | 46.294 | 37.324  | 52.146   |
+----------------+--------+---------+----------+
| cat            | 75.263 | 73.404  | 67.208   |
+----------------+--------+---------+----------+
| dog            | 67.536 | 62.724  | 55.277   |
+----------------+--------+---------+----------+
| horse          | 68.450 | 54.665  | 63.873   |
+----------------+--------+---------+----------+
| sheep          | 72.311 | 66.742  | 70.729   |
+----------------+--------+---------+----------+
| cow            | 66.390 | 34.628  | 56.466   |
+----------------+--------+---------+----------+
| elephant       | 75.387 | 76.878  | 72.778   |
+----------------+--------+---------+----------+
| bear           | 77.513 | 69.740  | 77.155   |
+----------------+--------+---------+----------+
| zebra          | 77.496 | 73.342  | 75.938   |
+----------------+--------+---------+----------+
| giraffe        | 73.820 | 73.071  | 69.780   |
+----------------+--------+---------+----------+
| backpack       | 12.570 | 12.739  | 1.892    |
+----------------+--------+---------+----------+
| umbrella       | 58.434 | 47.217  | 46.472   |
+----------------+--------+---------+----------+
| handbag        | 13.605 | 6.393   | 2.534    |
+----------------+--------+---------+----------+
| tie            | 9.421  | 10.337  | 7.086    |
+----------------+--------+---------+----------+
| suitcase       | 51.168 | 52.566  | 27.951   |
+----------------+--------+---------+----------+
| frisbee        | 18.445 | 16.938  | 15.518   |
+----------------+--------+---------+----------+
| skis           | 5.050  | 4.035   | 5.950    |
+----------------+--------+---------+----------+
| snowboard      | 11.053 | 18.041  | 8.966    |
+----------------+--------+---------+----------+
| sports ball    | 2.986  | 32.248  | 8.946    |
+----------------+--------+---------+----------+
| kite           | 16.209 | 20.053  | 14.942   |
+----------------+--------+---------+----------+
| baseball bat   | 1.689  | 1.381   | 0.568    |
+----------------+--------+---------+----------+
| baseball glove | 7.174  | 5.983   | 9.157    |
+----------------+--------+---------+----------+
| skateboard     | 13.835 | 11.208  | 13.334   |
+----------------+--------+---------+----------+
| surfboard      | 8.252  | 7.469   | 6.586    |
+----------------+--------+---------+----------+
| tennis racket  | 4.441  | 3.589   | 2.797    |
+----------------+--------+---------+----------+
| bottle         | 17.855 | 20.370  | 12.472   |
+----------------+--------+---------+----------+
| wine glass     | 23.615 | 33.430  | 17.528   |
+----------------+--------+---------+----------+
| cup            | 18.665 | 25.288  | 14.373   |
+----------------+--------+---------+----------+
| fork           | 4.625  | 10.322  | 0.022    |
+----------------+--------+---------+----------+
| knife          | 5.760  | 20.118  | 4.929    |
+----------------+--------+---------+----------+
| spoon          | 3.379  | 13.681  | 0.072    |
+----------------+--------+---------+----------+
| bowl           | 22.517 | 21.769  | 12.774   |
+----------------+--------+---------+----------+
| banana         | 65.350 | 68.609  | 58.348   |
+----------------+--------+---------+----------+
| apple          | 50.234 | 46.973  | 45.723   |
+----------------+--------+---------+----------+
| sandwich       | 45.912 | 29.528  | 34.637   |
+----------------+--------+---------+----------+
| orange         | 67.360 | 67.551  | 58.169   |
+----------------+--------+---------+----------+
| broccoli       | 45.743 | 15.687  | 17.137   |
+----------------+--------+---------+----------+
| carrot         | 47.925 | 23.987  | 30.177   |
+----------------+--------+---------+----------+
| hot dog        | 53.503 | 56.417  | 37.023   |
+----------------+--------+---------+----------+
| pizza          | 74.911 | 68.423  | 59.220   |
+----------------+--------+---------+----------+
| donut          | 62.746 | 66.265  | 57.517   |
+----------------+--------+---------+----------+
| cake           | 50.411 | 40.532  | 39.881   |
+----------------+--------+---------+----------+
| chair          | 23.548 | 24.568  | 15.042   |
+----------------+--------+---------+----------+
| couch          | 41.753 | 44.607  | 29.779   |
+----------------+--------+---------+----------+
| potted plant   | 24.686 | 2.087   | 18.211   |
+----------------+--------+---------+----------+
| bed            | 42.548 | 23.419  | 39.387   |
+----------------+--------+---------+----------+
| dining table   | 24.475 | 36.105  | 21.140   |
+----------------+--------+---------+----------+
| toilet         | 61.203 | 57.928  | 57.466   |
+----------------+--------+---------+----------+
| tv             | 42.156 | 33.274  | 32.423   |
+----------------+--------+---------+----------+
| laptop         | 42.940 | 38.499  | 30.905   |
+----------------+--------+---------+----------+
| mouse          | 9.538  | 5.575   | 4.889    |
+----------------+--------+---------+----------+
| remote         | 20.584 | 12.301  | 31.445   |
+----------------+--------+---------+----------+
| keyboard       | 26.567 | 29.105  | 23.855   |
+----------------+--------+---------+----------+
| cell phone     | 29.376 | 45.235  | 39.487   |
+----------------+--------+---------+----------+
| microwave      | 28.842 | 28.292  | 26.668   |
+----------------+--------+---------+----------+
| oven           | 33.682 | 30.947  | 18.188   |
+----------------+--------+---------+----------+
| toaster        | 11.253 | 0.024   | 0        |
+----------------+--------+---------+----------+
| sink           | 21.231 | 14.967  | 14.043   |
+----------------+--------+---------+----------+
| refrigerator   | 50.467 | 48.013  | 43.151   |
+----------------+--------+---------+----------+
| book           | 28.940 | 33.104  | 20.746   |
+----------------+--------+---------+----------+
| clock          | 20.400 | 14.107  | 19.909   |
+----------------+--------+---------+----------+
| vase           | 24.994 | 22.724  | 31.287   |
+----------------+--------+---------+----------+
| scissors       | 27.750 | 14.461  | 35.824   |
+----------------+--------+---------+----------+
| teddy bear     | 62.261 | 61.242  | 59.301   |
+----------------+--------+---------+----------+
| hair drier     | 14.529 | 0.955   | 0        |
+----------------+--------+---------+----------+
| toothbrush     | 14.398 | 28.461  | 21.053   |
+----------------+--------+---------+----------+
| mIoU           | 37.501 | 34.842  | 33.009   |
+----------------+--------+---------+----------+
2022-11-03 03:52:18,813 - dist_train_coco_seg_neg2.py - INFO: Iter: 16200; Elasped: 5:36:16; ETA: 22:04:18; LR: 4.895e-05; cls_loss: 0.0557, cls_loss_aux: 0.0641, ptc_loss: 0.1798, ctc_loss: 0.3693, seg_loss: 0.6280...
2022-11-03 03:55:32,446 - dist_train_coco_seg_neg2.py - INFO: Iter: 16400; Elasped: 5:39:30; ETA: 21:56:35; LR: 4.881e-05; cls_loss: 0.0555, cls_loss_aux: 0.0644, ptc_loss: 0.1608, ctc_loss: 0.3751, seg_loss: 0.6264...
2022-11-03 03:58:45,959 - dist_train_coco_seg_neg2.py - INFO: Iter: 16600; Elasped: 5:42:43; ETA: 21:48:55; LR: 4.867e-05; cls_loss: 0.0558, cls_loss_aux: 0.0636, ptc_loss: 0.1795, ctc_loss: 0.4010, seg_loss: 0.6307...
2022-11-03 04:01:59,569 - dist_train_coco_seg_neg2.py - INFO: Iter: 16800; Elasped: 5:45:57; ETA: 21:41:25; LR: 4.853e-05; cls_loss: 0.0535, cls_loss_aux: 0.0614, ptc_loss: 0.1759, ctc_loss: 0.4196, seg_loss: 0.5587...
2022-11-03 04:05:12,913 - dist_train_coco_seg_neg2.py - INFO: Iter: 17000; Elasped: 5:49:10; ETA: 21:33:58; LR: 4.839e-05; cls_loss: 0.0543, cls_loss_aux: 0.0628, ptc_loss: 0.1601, ctc_loss: 0.4204, seg_loss: 0.6649...
2022-11-03 04:08:26,670 - dist_train_coco_seg_neg2.py - INFO: Iter: 17200; Elasped: 5:52:24; ETA: 21:26:40; LR: 4.825e-05; cls_loss: 0.0537, cls_loss_aux: 0.0624, ptc_loss: 0.1480, ctc_loss: 0.4126, seg_loss: 0.6155...
2022-11-03 04:11:40,162 - dist_train_coco_seg_neg2.py - INFO: Iter: 17400; Elasped: 5:55:38; ETA: 21:19:27; LR: 4.812e-05; cls_loss: 0.0574, cls_loss_aux: 0.0647, ptc_loss: 0.1608, ctc_loss: 0.3468, seg_loss: 0.6477...
2022-11-03 04:14:53,648 - dist_train_coco_seg_neg2.py - INFO: Iter: 17600; Elasped: 5:58:51; ETA: 21:12:17; LR: 4.798e-05; cls_loss: 0.0518, cls_loss_aux: 0.0610, ptc_loss: 0.1602, ctc_loss: 0.5191, seg_loss: 0.6026...
2022-11-03 04:18:07,156 - dist_train_coco_seg_neg2.py - INFO: Iter: 17800; Elasped: 6:02:05; ETA: 21:05:15; LR: 4.784e-05; cls_loss: 0.0578, cls_loss_aux: 0.0690, ptc_loss: 0.1640, ctc_loss: 0.5717, seg_loss: 0.6436...
2022-11-03 04:21:21,105 - dist_train_coco_seg_neg2.py - INFO: Iter: 18000; Elasped: 6:05:19; ETA: 20:58:18; LR: 4.770e-05; cls_loss: 0.0511, cls_loss_aux: 0.0591, ptc_loss: 0.1575, ctc_loss: 0.7740, seg_loss: 0.5619...
2022-11-03 04:24:34,397 - dist_train_coco_seg_neg2.py - INFO: Iter: 18200; Elasped: 6:08:32; ETA: 20:51:23; LR: 4.756e-05; cls_loss: 0.0539, cls_loss_aux: 0.0611, ptc_loss: 0.1586, ctc_loss: 0.4609, seg_loss: 0.6000...
2022-11-03 04:27:47,684 - dist_train_coco_seg_neg2.py - INFO: Iter: 18400; Elasped: 6:11:45; ETA: 20:44:33; LR: 4.742e-05; cls_loss: 0.0525, cls_loss_aux: 0.0597, ptc_loss: 0.1991, ctc_loss: 0.4160, seg_loss: 0.6012...
2022-11-03 04:31:01,107 - dist_train_coco_seg_neg2.py - INFO: Iter: 18600; Elasped: 6:14:59; ETA: 20:37:50; LR: 4.729e-05; cls_loss: 0.0549, cls_loss_aux: 0.0635, ptc_loss: 0.1624, ctc_loss: 0.4074, seg_loss: 0.5594...
2022-11-03 04:34:14,462 - dist_train_coco_seg_neg2.py - INFO: Iter: 18800; Elasped: 6:18:12; ETA: 20:31:09; LR: 4.715e-05; cls_loss: 0.0600, cls_loss_aux: 0.0697, ptc_loss: 0.1675, ctc_loss: 0.5067, seg_loss: 0.5836...
2022-11-03 04:37:28,115 - dist_train_coco_seg_neg2.py - INFO: Iter: 19000; Elasped: 6:21:26; ETA: 20:24:36; LR: 4.701e-05; cls_loss: 0.0578, cls_loss_aux: 0.0673, ptc_loss: 0.1654, ctc_loss: 0.4646, seg_loss: 0.6041...
2022-11-03 04:40:41,682 - dist_train_coco_seg_neg2.py - INFO: Iter: 19200; Elasped: 6:24:39; ETA: 20:18:03; LR: 4.687e-05; cls_loss: 0.0510, cls_loss_aux: 0.0579, ptc_loss: 0.1526, ctc_loss: 0.5840, seg_loss: 0.5207...
2022-11-03 04:43:55,201 - dist_train_coco_seg_neg2.py - INFO: Iter: 19400; Elasped: 6:27:53; ETA: 20:11:38; LR: 4.673e-05; cls_loss: 0.0520, cls_loss_aux: 0.0609, ptc_loss: 0.1605, ctc_loss: 0.4955, seg_loss: 0.5591...
2022-11-03 04:47:08,407 - dist_train_coco_seg_neg2.py - INFO: Iter: 19600; Elasped: 6:31:06; ETA: 20:05:13; LR: 4.659e-05; cls_loss: 0.0538, cls_loss_aux: 0.0635, ptc_loss: 0.1573, ctc_loss: 0.5081, seg_loss: 0.5753...
2022-11-03 04:50:21,817 - dist_train_coco_seg_neg2.py - INFO: Iter: 19800; Elasped: 6:34:19; ETA: 19:58:52; LR: 4.645e-05; cls_loss: 0.0559, cls_loss_aux: 0.0664, ptc_loss: 0.1694, ctc_loss: 0.5200, seg_loss: 0.6187...
2022-11-03 04:53:35,405 - dist_train_coco_seg_neg2.py - INFO: Iter: 20000; Elasped: 6:37:33; ETA: 19:52:39; LR: 4.631e-05; cls_loss: 0.0586, cls_loss_aux: 0.0668, ptc_loss: 0.1841, ctc_loss: 0.6323, seg_loss: 0.5519...
2022-11-03 04:53:35,408 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 05:11:21,727 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.770913
2022-11-03 05:11:21,729 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 75.394 | 70.438  | 75.126   |
+----------------+--------+---------+----------+
| person         | 43.319 | 50.330  | 45.332   |
+----------------+--------+---------+----------+
| bicycle        | 37.594 | 30.577  | 39.461   |
+----------------+--------+---------+----------+
| car            | 31.842 | 26.363  | 22.479   |
+----------------+--------+---------+----------+
| motorcycle     | 65.905 | 57.870  | 60.080   |
+----------------+--------+---------+----------+
| airplane       | 66.675 | 66.026  | 64.876   |
+----------------+--------+---------+----------+
| bus            | 55.675 | 50.292  | 56.759   |
+----------------+--------+---------+----------+
| train          | 52.657 | 45.536  | 49.165   |
+----------------+--------+---------+----------+
| truck          | 44.150 | 36.739  | 32.028   |
+----------------+--------+---------+----------+
| boat           | 44.607 | 37.339  | 38.650   |
+----------------+--------+---------+----------+
| traffic light  | 18.088 | 12.122  | 40.094   |
+----------------+--------+---------+----------+
| fire hydrant   | 56.728 | 40.331  | 67.707   |
+----------------+--------+---------+----------+
| stop sign      | 49.480 | 25.625  | 62.291   |
+----------------+--------+---------+----------+
| parking meter  | 57.799 | 54.741  | 59.294   |
+----------------+--------+---------+----------+
| bench          | 30.974 | 23.899  | 31.416   |
+----------------+--------+---------+----------+
| bird           | 48.464 | 61.576  | 46.614   |
+----------------+--------+---------+----------+
| cat            | 80.151 | 74.832  | 63.768   |
+----------------+--------+---------+----------+
| dog            | 72.115 | 55.534  | 53.856   |
+----------------+--------+---------+----------+
| horse          | 68.607 | 59.331  | 64.364   |
+----------------+--------+---------+----------+
| sheep          | 72.956 | 64.148  | 69.873   |
+----------------+--------+---------+----------+
| cow            | 70.517 | 60.000  | 59.643   |
+----------------+--------+---------+----------+
| elephant       | 73.835 | 57.941  | 75.683   |
+----------------+--------+---------+----------+
| bear           | 79.447 | 76.862  | 79.851   |
+----------------+--------+---------+----------+
| zebra          | 76.599 | 73.321  | 74.214   |
+----------------+--------+---------+----------+
| giraffe        | 74.919 | 68.535  | 71.343   |
+----------------+--------+---------+----------+
| backpack       | 14.381 | 18.220  | 0.543    |
+----------------+--------+---------+----------+
| umbrella       | 62.262 | 57.714  | 51.202   |
+----------------+--------+---------+----------+
| handbag        | 11.983 | 8.699   | 2.342    |
+----------------+--------+---------+----------+
| tie            | 13.456 | 27.447  | 15.537   |
+----------------+--------+---------+----------+
| suitcase       | 57.179 | 50.742  | 48.724   |
+----------------+--------+---------+----------+
| frisbee        | 21.525 | 15.963  | 14.807   |
+----------------+--------+---------+----------+
| skis           | 7.175  | 10.299  | 6.142    |
+----------------+--------+---------+----------+
| snowboard      | 11.691 | 8.514   | 18.443   |
+----------------+--------+---------+----------+
| sports ball    | 2.576  | 27.169  | 7.515    |
+----------------+--------+---------+----------+
| kite           | 21.638 | 42.669  | 20.571   |
+----------------+--------+---------+----------+
| baseball bat   | 1.161  | 1.298   | 0.557    |
+----------------+--------+---------+----------+
| baseball glove | 7.590  | 5.353   | 2.886    |
+----------------+--------+---------+----------+
| skateboard     | 10.271 | 10.404  | 8.731    |
+----------------+--------+---------+----------+
| surfboard      | 8.762  | 8.195   | 7.531    |
+----------------+--------+---------+----------+
| tennis racket  | 4.018  | 3.396   | 2.747    |
+----------------+--------+---------+----------+
| bottle         | 14.863 | 20.083  | 13.221   |
+----------------+--------+---------+----------+
| wine glass     | 22.368 | 16.557  | 20.316   |
+----------------+--------+---------+----------+
| cup            | 17.015 | 7.292   | 16.497   |
+----------------+--------+---------+----------+
| fork           | 5.920  | 18.052  | 3.322    |
+----------------+--------+---------+----------+
| knife          | 5.422  | 8.497   | 2.474    |
+----------------+--------+---------+----------+
| spoon          | 3.166  | 2.614   | 1.392    |
+----------------+--------+---------+----------+
| bowl           | 19.388 | 20.376  | 10.743   |
+----------------+--------+---------+----------+
| banana         | 68.996 | 71.075  | 55.130   |
+----------------+--------+---------+----------+
| apple          | 54.268 | 46.784  | 47.677   |
+----------------+--------+---------+----------+
| sandwich       | 47.273 | 45.095  | 35.161   |
+----------------+--------+---------+----------+
| orange         | 67.413 | 52.016  | 59.903   |
+----------------+--------+---------+----------+
| broccoli       | 52.443 | 53.600  | 46.639   |
+----------------+--------+---------+----------+
| carrot         | 53.603 | 35.031  | 36.709   |
+----------------+--------+---------+----------+
| hot dog        | 60.375 | 56.239  | 49.954   |
+----------------+--------+---------+----------+
| pizza          | 56.183 | 42.848  | 42.790   |
+----------------+--------+---------+----------+
| donut          | 70.055 | 61.833  | 52.199   |
+----------------+--------+---------+----------+
| cake           | 52.417 | 41.707  | 36.288   |
+----------------+--------+---------+----------+
| chair          | 24.005 | 25.166  | 13.841   |
+----------------+--------+---------+----------+
| couch          | 46.279 | 40.205  | 35.129   |
+----------------+--------+---------+----------+
| potted plant   | 18.581 | 23.113  | 8.801    |
+----------------+--------+---------+----------+
| bed            | 55.475 | 54.731  | 50.328   |
+----------------+--------+---------+----------+
| dining table   | 24.047 | 24.468  | 17.554   |
+----------------+--------+---------+----------+
| toilet         | 61.685 | 62.395  | 60.704   |
+----------------+--------+---------+----------+
| tv             | 42.194 | 39.906  | 38.479   |
+----------------+--------+---------+----------+
| laptop         | 47.799 | 35.416  | 42.463   |
+----------------+--------+---------+----------+
| mouse          | 9.173  | 6.864   | 7.262    |
+----------------+--------+---------+----------+
| remote         | 20.524 | 15.425  | 19.904   |
+----------------+--------+---------+----------+
| keyboard       | 28.982 | 36.532  | 1.348    |
+----------------+--------+---------+----------+
| cell phone     | 28.456 | 35.268  | 36.072   |
+----------------+--------+---------+----------+
| microwave      | 28.197 | 26.482  | 24.708   |
+----------------+--------+---------+----------+
| oven           | 34.155 | 34.213  | 24.852   |
+----------------+--------+---------+----------+
| toaster        | 10.022 | 6.730   | 0        |
+----------------+--------+---------+----------+
| sink           | 20.219 | 12.201  | 12.199   |
+----------------+--------+---------+----------+
| refrigerator   | 48.848 | 47.377  | 45.835   |
+----------------+--------+---------+----------+
| book           | 33.229 | 27.840  | 24.181   |
+----------------+--------+---------+----------+
| clock          | 18.959 | 20.963  | 19.619   |
+----------------+--------+---------+----------+
| vase           | 27.656 | 29.955  | 27.859   |
+----------------+--------+---------+----------+
| scissors       | 29.632 | 14.886  | 37.871   |
+----------------+--------+---------+----------+
| teddy bear     | 65.559 | 59.772  | 62.475   |
+----------------+--------+---------+----------+
| hair drier     | 12.935 | 4.786   | 0        |
+----------------+--------+---------+----------+
| toothbrush     | 18.471 | 12.982  | 26.706   |
+----------------+--------+---------+----------+
| mIoU           | 38.647 | 35.479  | 34.331   |
+----------------+--------+---------+----------+
2022-11-03 05:14:35,494 - dist_train_coco_seg_neg2.py - INFO: Iter: 20200; Elasped: 6:58:33; ETA: 20:39:04; LR: 4.618e-05; cls_loss: 0.0603, cls_loss_aux: 0.0685, ptc_loss: 0.1646, ctc_loss: 0.5804, seg_loss: 0.5659...
2022-11-03 05:17:49,210 - dist_train_coco_seg_neg2.py - INFO: Iter: 20400; Elasped: 7:01:47; ETA: 20:32:16; LR: 4.604e-05; cls_loss: 0.0609, cls_loss_aux: 0.0708, ptc_loss: 0.1701, ctc_loss: 0.5156, seg_loss: 0.5773...
2022-11-03 05:21:06,834 - dist_train_coco_seg_neg2.py - INFO: Iter: 20600; Elasped: 7:05:04; ETA: 20:25:40; LR: 4.590e-05; cls_loss: 0.0550, cls_loss_aux: 0.0637, ptc_loss: 0.1607, ctc_loss: 0.5408, seg_loss: 0.5946...
2022-11-03 05:24:20,667 - dist_train_coco_seg_neg2.py - INFO: Iter: 20800; Elasped: 7:08:18; ETA: 20:19:00; LR: 4.576e-05; cls_loss: 0.0504, cls_loss_aux: 0.0551, ptc_loss: 0.1576, ctc_loss: 0.5949, seg_loss: 0.5179...
2022-11-03 05:27:34,340 - dist_train_coco_seg_neg2.py - INFO: Iter: 21000; Elasped: 7:11:32; ETA: 20:12:24; LR: 4.562e-05; cls_loss: 0.0510, cls_loss_aux: 0.0582, ptc_loss: 0.1715, ctc_loss: 0.5427, seg_loss: 0.5648...
2022-11-03 05:30:47,802 - dist_train_coco_seg_neg2.py - INFO: Iter: 21200; Elasped: 7:14:45; ETA: 20:05:48; LR: 4.548e-05; cls_loss: 0.0515, cls_loss_aux: 0.0585, ptc_loss: 0.1593, ctc_loss: 0.5340, seg_loss: 0.5045...
2022-11-03 05:34:01,467 - dist_train_coco_seg_neg2.py - INFO: Iter: 21400; Elasped: 7:17:59; ETA: 19:59:20; LR: 4.534e-05; cls_loss: 0.0544, cls_loss_aux: 0.0591, ptc_loss: 0.1446, ctc_loss: 0.5454, seg_loss: 0.5091...
2022-11-03 05:37:15,119 - dist_train_coco_seg_neg2.py - INFO: Iter: 21600; Elasped: 7:21:13; ETA: 19:52:55; LR: 4.520e-05; cls_loss: 0.0538, cls_loss_aux: 0.0618, ptc_loss: 0.1605, ctc_loss: 0.5181, seg_loss: 0.4982...
2022-11-03 05:40:28,835 - dist_train_coco_seg_neg2.py - INFO: Iter: 21800; Elasped: 7:24:26; ETA: 19:46:30; LR: 4.506e-05; cls_loss: 0.0533, cls_loss_aux: 0.0616, ptc_loss: 0.1545, ctc_loss: 0.5331, seg_loss: 0.5353...
2022-11-03 05:43:42,536 - dist_train_coco_seg_neg2.py - INFO: Iter: 22000; Elasped: 7:27:40; ETA: 19:40:12; LR: 4.492e-05; cls_loss: 0.0618, cls_loss_aux: 0.0696, ptc_loss: 0.1751, ctc_loss: 0.4889, seg_loss: 0.6121...
2022-11-03 05:46:55,836 - dist_train_coco_seg_neg2.py - INFO: Iter: 22200; Elasped: 7:30:53; ETA: 19:33:55; LR: 4.478e-05; cls_loss: 0.0544, cls_loss_aux: 0.0597, ptc_loss: 0.1618, ctc_loss: 0.5077, seg_loss: 0.5372...
2022-11-03 05:50:09,275 - dist_train_coco_seg_neg2.py - INFO: Iter: 22400; Elasped: 7:34:07; ETA: 19:27:43; LR: 4.464e-05; cls_loss: 0.0587, cls_loss_aux: 0.0682, ptc_loss: 0.1748, ctc_loss: 0.5088, seg_loss: 0.5475...
2022-11-03 05:53:22,926 - dist_train_coco_seg_neg2.py - INFO: Iter: 22600; Elasped: 7:37:20; ETA: 19:21:32; LR: 4.450e-05; cls_loss: 0.0527, cls_loss_aux: 0.0609, ptc_loss: 0.1839, ctc_loss: 0.5081, seg_loss: 0.5607...
2022-11-03 05:56:36,538 - dist_train_coco_seg_neg2.py - INFO: Iter: 22800; Elasped: 7:40:34; ETA: 19:15:27; LR: 4.436e-05; cls_loss: 0.0551, cls_loss_aux: 0.0627, ptc_loss: 0.1835, ctc_loss: 0.5134, seg_loss: 0.5126...
2022-11-03 05:59:50,385 - dist_train_coco_seg_neg2.py - INFO: Iter: 23000; Elasped: 7:43:48; ETA: 19:09:25; LR: 4.422e-05; cls_loss: 0.0571, cls_loss_aux: 0.0651, ptc_loss: 0.1505, ctc_loss: 0.5960, seg_loss: 0.5922...
2022-11-03 06:03:04,312 - dist_train_coco_seg_neg2.py - INFO: Iter: 23200; Elasped: 7:47:02; ETA: 19:03:25; LR: 4.408e-05; cls_loss: 0.0524, cls_loss_aux: 0.0589, ptc_loss: 0.1613, ctc_loss: 0.5182, seg_loss: 0.6184...
2022-11-03 06:06:18,191 - dist_train_coco_seg_neg2.py - INFO: Iter: 23400; Elasped: 7:50:16; ETA: 18:57:28; LR: 4.395e-05; cls_loss: 0.0563, cls_loss_aux: 0.0645, ptc_loss: 0.1699, ctc_loss: 0.4675, seg_loss: 0.5558...
2022-11-03 06:09:31,847 - dist_train_coco_seg_neg2.py - INFO: Iter: 23600; Elasped: 7:53:29; ETA: 18:51:32; LR: 4.381e-05; cls_loss: 0.0562, cls_loss_aux: 0.0641, ptc_loss: 0.1585, ctc_loss: 0.5237, seg_loss: 0.5361...
2022-11-03 06:12:45,420 - dist_train_coco_seg_neg2.py - INFO: Iter: 23800; Elasped: 7:56:43; ETA: 18:45:41; LR: 4.367e-05; cls_loss: 0.0601, cls_loss_aux: 0.0698, ptc_loss: 0.1583, ctc_loss: 0.5930, seg_loss: 0.5624...
2022-11-03 06:15:58,895 - dist_train_coco_seg_neg2.py - INFO: Iter: 24000; Elasped: 7:59:56; ETA: 18:39:50; LR: 4.353e-05; cls_loss: 0.0565, cls_loss_aux: 0.0641, ptc_loss: 0.1600, ctc_loss: 0.5093, seg_loss: 0.5310...
2022-11-03 06:15:58,897 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 06:33:44,634 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.767810
2022-11-03 06:33:44,636 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 73.871 | 66.809  | 73.703   |
+----------------+--------+---------+----------+
| person         | 46.352 | 43.762  | 46.102   |
+----------------+--------+---------+----------+
| bicycle        | 40.161 | 36.263  | 26.103   |
+----------------+--------+---------+----------+
| car            | 31.799 | 30.413  | 33.723   |
+----------------+--------+---------+----------+
| motorcycle     | 60.515 | 59.932  | 58.026   |
+----------------+--------+---------+----------+
| airplane       | 68.198 | 65.918  | 68.418   |
+----------------+--------+---------+----------+
| bus            | 51.678 | 49.592  | 52.578   |
+----------------+--------+---------+----------+
| train          | 46.948 | 22.728  | 43.180   |
+----------------+--------+---------+----------+
| truck          | 38.820 | 30.962  | 30.812   |
+----------------+--------+---------+----------+
| boat           | 42.642 | 37.605  | 42.051   |
+----------------+--------+---------+----------+
| traffic light  | 18.536 | 23.681  | 33.998   |
+----------------+--------+---------+----------+
| fire hydrant   | 59.244 | 71.311  | 69.210   |
+----------------+--------+---------+----------+
| stop sign      | 51.454 | 24.148  | 55.827   |
+----------------+--------+---------+----------+
| parking meter  | 58.659 | 49.924  | 55.598   |
+----------------+--------+---------+----------+
| bench          | 25.999 | 23.638  | 22.983   |
+----------------+--------+---------+----------+
| bird           | 46.442 | 57.798  | 53.403   |
+----------------+--------+---------+----------+
| cat            | 73.859 | 73.199  | 67.970   |
+----------------+--------+---------+----------+
| dog            | 70.519 | 59.993  | 58.976   |
+----------------+--------+---------+----------+
| horse          | 68.981 | 62.206  | 64.072   |
+----------------+--------+---------+----------+
| sheep          | 76.793 | 64.924  | 72.819   |
+----------------+--------+---------+----------+
| cow            | 73.965 | 68.605  | 62.510   |
+----------------+--------+---------+----------+
| elephant       | 70.202 | 71.219  | 74.167   |
+----------------+--------+---------+----------+
| bear           | 79.464 | 69.242  | 71.588   |
+----------------+--------+---------+----------+
| zebra          | 76.541 | 75.060  | 75.397   |
+----------------+--------+---------+----------+
| giraffe        | 74.092 | 69.549  | 71.694   |
+----------------+--------+---------+----------+
| backpack       | 12.456 | 21.737  | 1.889    |
+----------------+--------+---------+----------+
| umbrella       | 50.677 | 53.317  | 42.341   |
+----------------+--------+---------+----------+
| handbag        | 9.415  | 9.323   | 3.325    |
+----------------+--------+---------+----------+
| tie            | 14.568 | 17.050  | 17.140   |
+----------------+--------+---------+----------+
| suitcase       | 47.820 | 37.881  | 33.780   |
+----------------+--------+---------+----------+
| frisbee        | 21.980 | 13.488  | 19.809   |
+----------------+--------+---------+----------+
| skis           | 2.662  | 2.468   | 2.004    |
+----------------+--------+---------+----------+
| snowboard      | 6.285  | 7.071   | 5.485    |
+----------------+--------+---------+----------+
| sports ball    | 2.590  | 3.612   | 3.653    |
+----------------+--------+---------+----------+
| kite           | 24.019 | 13.772  | 23.304   |
+----------------+--------+---------+----------+
| baseball bat   | 0.923  | 3.300   | 0.462    |
+----------------+--------+---------+----------+
| baseball glove | 4.577  | 4.471   | 4.237    |
+----------------+--------+---------+----------+
| skateboard     | 8.079  | 7.945   | 6.470    |
+----------------+--------+---------+----------+
| surfboard      | 5.592  | 5.507   | 3.838    |
+----------------+--------+---------+----------+
| tennis racket  | 3.310  | 3.289   | 2.421    |
+----------------+--------+---------+----------+
| bottle         | 19.591 | 21.137  | 14.894   |
+----------------+--------+---------+----------+
| wine glass     | 22.026 | 20.361  | 13.430   |
+----------------+--------+---------+----------+
| cup            | 18.355 | 15.619  | 14.930   |
+----------------+--------+---------+----------+
| fork           | 5.699  | 13.357  | 2.208    |
+----------------+--------+---------+----------+
| knife          | 6.516  | 4.961   | 4.589    |
+----------------+--------+---------+----------+
| spoon          | 3.182  | 8.140   | 2.095    |
+----------------+--------+---------+----------+
| bowl           | 20.138 | 19.179  | 10.670   |
+----------------+--------+---------+----------+
| banana         | 68.653 | 52.831  | 65.553   |
+----------------+--------+---------+----------+
| apple          | 48.662 | 46.776  | 50.126   |
+----------------+--------+---------+----------+
| sandwich       | 51.560 | 51.332  | 35.511   |
+----------------+--------+---------+----------+
| orange         | 63.774 | 61.157  | 61.196   |
+----------------+--------+---------+----------+
| broccoli       | 53.255 | 47.752  | 46.573   |
+----------------+--------+---------+----------+
| carrot         | 43.187 | 22.049  | 40.374   |
+----------------+--------+---------+----------+
| hot dog        | 58.807 | 60.835  | 50.499   |
+----------------+--------+---------+----------+
| pizza          | 73.067 | 65.424  | 64.329   |
+----------------+--------+---------+----------+
| donut          | 68.043 | 60.609  | 59.900   |
+----------------+--------+---------+----------+
| cake           | 53.475 | 42.908  | 35.778   |
+----------------+--------+---------+----------+
| chair          | 20.463 | 24.204  | 11.506   |
+----------------+--------+---------+----------+
| couch          | 43.065 | 40.029  | 28.109   |
+----------------+--------+---------+----------+
| potted plant   | 22.666 | 24.310  | 10.426   |
+----------------+--------+---------+----------+
| bed            | 53.143 | 50.995  | 51.609   |
+----------------+--------+---------+----------+
| dining table   | 28.911 | 38.469  | 24.223   |
+----------------+--------+---------+----------+
| toilet         | 62.829 | 60.861  | 63.247   |
+----------------+--------+---------+----------+
| tv             | 43.022 | 41.733  | 36.008   |
+----------------+--------+---------+----------+
| laptop         | 48.014 | 32.762  | 44.736   |
+----------------+--------+---------+----------+
| mouse          | 9.793  | 10.868  | 8.938    |
+----------------+--------+---------+----------+
| remote         | 24.514 | 15.429  | 38.100   |
+----------------+--------+---------+----------+
| keyboard       | 30.977 | 36.344  | 9.703    |
+----------------+--------+---------+----------+
| cell phone     | 30.092 | 25.450  | 25.181   |
+----------------+--------+---------+----------+
| microwave      | 30.556 | 23.345  | 36.279   |
+----------------+--------+---------+----------+
| oven           | 32.426 | 32.293  | 25.890   |
+----------------+--------+---------+----------+
| toaster        | 13.665 | 9.093   | 0        |
+----------------+--------+---------+----------+
| sink           | 21.168 | 11.154  | 14.588   |
+----------------+--------+---------+----------+
| refrigerator   | 51.078 | 44.247  | 49.114   |
+----------------+--------+---------+----------+
| book           | 28.165 | 27.482  | 20.539   |
+----------------+--------+---------+----------+
| clock          | 22.324 | 25.050  | 21.989   |
+----------------+--------+---------+----------+
| vase           | 23.467 | 24.497  | 22.342   |
+----------------+--------+---------+----------+
| scissors       | 27.306 | 32.002  | 41.501   |
+----------------+--------+---------+----------+
| teddy bear     | 67.752 | 67.573  | 63.131   |
+----------------+--------+---------+----------+
| hair drier     | 14.084 | 17.870  | 0        |
+----------------+--------+---------+----------+
| toothbrush     | 19.810 | 13.542  | 23.896   |
+----------------+--------+---------+----------+
| mIoU           | 38.123 | 35.268  | 34.553   |
+----------------+--------+---------+----------+
2022-11-03 06:36:58,618 - dist_train_coco_seg_neg2.py - INFO: Iter: 24200; Elasped: 8:20:56; ETA: 19:15:02; LR: 4.339e-05; cls_loss: 0.0579, cls_loss_aux: 0.0663, ptc_loss: 0.1720, ctc_loss: 0.5040, seg_loss: 0.5070...
2022-11-03 06:40:12,254 - dist_train_coco_seg_neg2.py - INFO: Iter: 24400; Elasped: 8:24:10; ETA: 19:08:50; LR: 4.325e-05; cls_loss: 0.0561, cls_loss_aux: 0.0636, ptc_loss: 0.1814, ctc_loss: 0.5314, seg_loss: 0.5639...
2022-11-03 06:43:25,526 - dist_train_coco_seg_neg2.py - INFO: Iter: 24600; Elasped: 8:27:23; ETA: 19:02:38; LR: 4.311e-05; cls_loss: 0.0503, cls_loss_aux: 0.0568, ptc_loss: 0.1699, ctc_loss: 0.5301, seg_loss: 0.5208...
2022-11-03 06:46:39,587 - dist_train_coco_seg_neg2.py - INFO: Iter: 24800; Elasped: 8:30:37; ETA: 18:56:32; LR: 4.297e-05; cls_loss: 0.0545, cls_loss_aux: 0.0614, ptc_loss: 0.1557, ctc_loss: 0.5940, seg_loss: 0.5082...
2022-11-03 06:49:53,183 - dist_train_coco_seg_neg2.py - INFO: Iter: 25000; Elasped: 8:33:51; ETA: 18:50:28; LR: 4.283e-05; cls_loss: 0.0536, cls_loss_aux: 0.0602, ptc_loss: 0.1827, ctc_loss: 0.5575, seg_loss: 0.4965...
2022-11-03 06:53:07,038 - dist_train_coco_seg_neg2.py - INFO: Iter: 25200; Elasped: 8:37:05; ETA: 18:44:27; LR: 4.269e-05; cls_loss: 0.0533, cls_loss_aux: 0.0603, ptc_loss: 0.1541, ctc_loss: 0.5823, seg_loss: 0.5593...
2022-11-03 06:56:20,674 - dist_train_coco_seg_neg2.py - INFO: Iter: 25400; Elasped: 8:40:18; ETA: 18:38:26; LR: 4.255e-05; cls_loss: 0.0535, cls_loss_aux: 0.0611, ptc_loss: 0.1582, ctc_loss: 0.5472, seg_loss: 0.5253...
2022-11-03 06:59:34,347 - dist_train_coco_seg_neg2.py - INFO: Iter: 25600; Elasped: 8:43:32; ETA: 18:32:30; LR: 4.240e-05; cls_loss: 0.0488, cls_loss_aux: 0.0543, ptc_loss: 0.1517, ctc_loss: 0.5075, seg_loss: 0.4472...
2022-11-03 07:02:48,063 - dist_train_coco_seg_neg2.py - INFO: Iter: 25800; Elasped: 8:46:46; ETA: 18:26:37; LR: 4.226e-05; cls_loss: 0.0531, cls_loss_aux: 0.0601, ptc_loss: 0.1553, ctc_loss: 0.5466, seg_loss: 0.5334...
2022-11-03 07:06:01,577 - dist_train_coco_seg_neg2.py - INFO: Iter: 26000; Elasped: 8:49:59; ETA: 18:20:44; LR: 4.212e-05; cls_loss: 0.0514, cls_loss_aux: 0.0587, ptc_loss: 0.1407, ctc_loss: 0.6603, seg_loss: 0.5173...
2022-11-03 07:09:15,355 - dist_train_coco_seg_neg2.py - INFO: Iter: 26200; Elasped: 8:53:13; ETA: 18:14:55; LR: 4.198e-05; cls_loss: 0.0521, cls_loss_aux: 0.0592, ptc_loss: 0.1666, ctc_loss: 0.5705, seg_loss: 0.5401...
2022-11-03 07:12:28,554 - dist_train_coco_seg_neg2.py - INFO: Iter: 26400; Elasped: 8:56:26; ETA: 18:09:07; LR: 4.184e-05; cls_loss: 0.0523, cls_loss_aux: 0.0605, ptc_loss: 0.1503, ctc_loss: 0.5679, seg_loss: 0.4489...
2022-11-03 07:15:42,000 - dist_train_coco_seg_neg2.py - INFO: Iter: 26600; Elasped: 8:59:40; ETA: 18:03:23; LR: 4.170e-05; cls_loss: 0.0540, cls_loss_aux: 0.0606, ptc_loss: 0.1601, ctc_loss: 0.5022, seg_loss: 0.5237...
2022-11-03 07:18:55,741 - dist_train_coco_seg_neg2.py - INFO: Iter: 26800; Elasped: 9:02:53; ETA: 17:57:39; LR: 4.156e-05; cls_loss: 0.0554, cls_loss_aux: 0.0610, ptc_loss: 0.1563, ctc_loss: 0.4812, seg_loss: 0.5740...
2022-11-03 07:22:09,191 - dist_train_coco_seg_neg2.py - INFO: Iter: 27000; Elasped: 9:06:07; ETA: 17:52:00; LR: 4.142e-05; cls_loss: 0.0520, cls_loss_aux: 0.0596, ptc_loss: 0.1452, ctc_loss: 0.5177, seg_loss: 0.4721...
2022-11-03 07:25:22,885 - dist_train_coco_seg_neg2.py - INFO: Iter: 27200; Elasped: 9:09:20; ETA: 17:46:21; LR: 4.128e-05; cls_loss: 0.0547, cls_loss_aux: 0.0623, ptc_loss: 0.1604, ctc_loss: 0.5443, seg_loss: 0.4872...
2022-11-03 07:28:36,679 - dist_train_coco_seg_neg2.py - INFO: Iter: 27400; Elasped: 9:12:34; ETA: 17:40:46; LR: 4.114e-05; cls_loss: 0.0549, cls_loss_aux: 0.0618, ptc_loss: 0.1672, ctc_loss: 0.5665, seg_loss: 0.4983...
2022-11-03 07:31:50,037 - dist_train_coco_seg_neg2.py - INFO: Iter: 27600; Elasped: 9:15:48; ETA: 17:35:12; LR: 4.100e-05; cls_loss: 0.0517, cls_loss_aux: 0.0602, ptc_loss: 0.1513, ctc_loss: 0.5676, seg_loss: 0.5008...
2022-11-03 07:35:03,082 - dist_train_coco_seg_neg2.py - INFO: Iter: 27800; Elasped: 9:19:01; ETA: 17:29:39; LR: 4.086e-05; cls_loss: 0.0548, cls_loss_aux: 0.0620, ptc_loss: 0.1633, ctc_loss: 0.5775, seg_loss: 0.5651...
2022-11-03 07:38:16,987 - dist_train_coco_seg_neg2.py - INFO: Iter: 28000; Elasped: 9:22:14; ETA: 17:24:08; LR: 4.072e-05; cls_loss: 0.0528, cls_loss_aux: 0.0591, ptc_loss: 0.1515, ctc_loss: 0.5949, seg_loss: 0.4921...
2022-11-03 07:38:16,990 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 07:56:03,996 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.787111
2022-11-03 07:56:03,999 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 74.712 | 70.754  | 74.304   |
+----------------+--------+---------+----------+
| person         | 42.969 | 37.429  | 42.854   |
+----------------+--------+---------+----------+
| bicycle        | 43.320 | 34.262  | 42.415   |
+----------------+--------+---------+----------+
| car            | 37.035 | 38.211  | 35.021   |
+----------------+--------+---------+----------+
| motorcycle     | 64.063 | 54.954  | 60.659   |
+----------------+--------+---------+----------+
| airplane       | 68.985 | 68.375  | 69.629   |
+----------------+--------+---------+----------+
| bus            | 48.863 | 29.926  | 44.351   |
+----------------+--------+---------+----------+
| train          | 48.198 | 49.286  | 46.279   |
+----------------+--------+---------+----------+
| truck          | 41.113 | 27.764  | 33.932   |
+----------------+--------+---------+----------+
| boat           | 45.980 | 41.398  | 47.637   |
+----------------+--------+---------+----------+
| traffic light  | 21.871 | 41.748  | 45.949   |
+----------------+--------+---------+----------+
| fire hydrant   | 65.653 | 37.337  | 55.435   |
+----------------+--------+---------+----------+
| stop sign      | 56.272 | 35.142  | 62.013   |
+----------------+--------+---------+----------+
| parking meter  | 58.811 | 38.557  | 56.369   |
+----------------+--------+---------+----------+
| bench          | 35.320 | 29.117  | 34.206   |
+----------------+--------+---------+----------+
| bird           | 48.934 | 60.127  | 56.462   |
+----------------+--------+---------+----------+
| cat            | 80.051 | 75.953  | 72.153   |
+----------------+--------+---------+----------+
| dog            | 70.155 | 52.169  | 62.257   |
+----------------+--------+---------+----------+
| horse          | 69.991 | 64.680  | 66.012   |
+----------------+--------+---------+----------+
| sheep          | 73.114 | 59.783  | 72.216   |
+----------------+--------+---------+----------+
| cow            | 70.245 | 65.946  | 65.195   |
+----------------+--------+---------+----------+
| elephant       | 71.085 | 72.584  | 75.723   |
+----------------+--------+---------+----------+
| bear           | 79.911 | 69.956  | 79.100   |
+----------------+--------+---------+----------+
| zebra          | 76.077 | 64.590  | 75.866   |
+----------------+--------+---------+----------+
| giraffe        | 72.362 | 73.305  | 68.914   |
+----------------+--------+---------+----------+
| backpack       | 15.041 | 7.093   | 15.923   |
+----------------+--------+---------+----------+
| umbrella       | 60.993 | 65.268  | 57.982   |
+----------------+--------+---------+----------+
| handbag        | 10.023 | 8.842   | 4.678    |
+----------------+--------+---------+----------+
| tie            | 14.324 | 27.976  | 15.024   |
+----------------+--------+---------+----------+
| suitcase       | 51.594 | 53.474  | 47.636   |
+----------------+--------+---------+----------+
| frisbee        | 31.365 | 11.730  | 28.011   |
+----------------+--------+---------+----------+
| skis           | 3.766  | 3.067   | 2.646    |
+----------------+--------+---------+----------+
| snowboard      | 9.203  | 15.400  | 15.376   |
+----------------+--------+---------+----------+
| sports ball    | 3.980  | 38.754  | 5.826    |
+----------------+--------+---------+----------+
| kite           | 32.325 | 28.522  | 37.118   |
+----------------+--------+---------+----------+
| baseball bat   | 1.684  | 1.176   | 0.883    |
+----------------+--------+---------+----------+
| baseball glove | 4.002  | 4.305   | 2.167    |
+----------------+--------+---------+----------+
| skateboard     | 7.814  | 6.974   | 6.563    |
+----------------+--------+---------+----------+
| surfboard      | 7.827  | 7.441   | 6.661    |
+----------------+--------+---------+----------+
| tennis racket  | 4.179  | 3.408   | 2.738    |
+----------------+--------+---------+----------+
| bottle         | 20.102 | 22.069  | 16.130   |
+----------------+--------+---------+----------+
| wine glass     | 24.303 | 26.992  | 11.750   |
+----------------+--------+---------+----------+
| cup            | 23.587 | 14.902  | 9.868    |
+----------------+--------+---------+----------+
| fork           | 5.742  | 2.920   | 6.226    |
+----------------+--------+---------+----------+
| knife          | 6.325  | 11.480  | 6.945    |
+----------------+--------+---------+----------+
| spoon          | 3.345  | 4.336   | 2.210    |
+----------------+--------+---------+----------+
| bowl           | 17.720 | 16.530  | 11.058   |
+----------------+--------+---------+----------+
| banana         | 72.095 | 61.680  | 62.183   |
+----------------+--------+---------+----------+
| apple          | 55.476 | 54.074  | 51.401   |
+----------------+--------+---------+----------+
| sandwich       | 48.790 | 41.650  | 40.772   |
+----------------+--------+---------+----------+
| orange         | 69.256 | 63.071  | 63.761   |
+----------------+--------+---------+----------+
| broccoli       | 52.772 | 53.903  | 48.473   |
+----------------+--------+---------+----------+
| carrot         | 54.157 | 32.024  | 43.139   |
+----------------+--------+---------+----------+
| hot dog        | 59.834 | 54.957  | 55.777   |
+----------------+--------+---------+----------+
| pizza          | 71.399 | 46.032  | 61.722   |
+----------------+--------+---------+----------+
| donut          | 73.513 | 67.299  | 58.898   |
+----------------+--------+---------+----------+
| cake           | 56.528 | 48.256  | 43.397   |
+----------------+--------+---------+----------+
| chair          | 25.697 | 26.812  | 17.121   |
+----------------+--------+---------+----------+
| couch          | 47.111 | 49.543  | 35.947   |
+----------------+--------+---------+----------+
| potted plant   | 28.201 | 20.414  | 12.952   |
+----------------+--------+---------+----------+
| bed            | 49.117 | 53.982  | 44.789   |
+----------------+--------+---------+----------+
| dining table   | 31.674 | 37.252  | 27.794   |
+----------------+--------+---------+----------+
| toilet         | 63.990 | 58.021  | 63.188   |
+----------------+--------+---------+----------+
| tv             | 41.594 | 40.098  | 38.916   |
+----------------+--------+---------+----------+
| laptop         | 48.445 | 46.809  | 49.772   |
+----------------+--------+---------+----------+
| mouse          | 11.636 | 21.744  | 10.868   |
+----------------+--------+---------+----------+
| remote         | 31.664 | 27.070  | 52.493   |
+----------------+--------+---------+----------+
| keyboard       | 34.261 | 39.210  | 15.527   |
+----------------+--------+---------+----------+
| cell phone     | 33.742 | 13.456  | 49.497   |
+----------------+--------+---------+----------+
| microwave      | 22.353 | 18.434  | 29.200   |
+----------------+--------+---------+----------+
| oven           | 30.629 | 28.478  | 21.191   |
+----------------+--------+---------+----------+
| toaster        | 12.960 | 16.209  | 0        |
+----------------+--------+---------+----------+
| sink           | 21.098 | 25.998  | 16.759   |
+----------------+--------+---------+----------+
| refrigerator   | 47.251 | 46.713  | 44.673   |
+----------------+--------+---------+----------+
| book           | 27.527 | 19.984  | 13.744   |
+----------------+--------+---------+----------+
| clock          | 23.340 | 31.722  | 23.822   |
+----------------+--------+---------+----------+
| vase           | 25.433 | 25.404  | 27.222   |
+----------------+--------+---------+----------+
| scissors       | 33.763 | 50.448  | 42.886   |
+----------------+--------+---------+----------+
| teddy bear     | 67.089 | 66.367  | 60.428   |
+----------------+--------+---------+----------+
| hair drier     | 18.208 | 8.930   | 0        |
+----------------+--------+---------+----------+
| toothbrush     | 19.529 | 7.421   | 33.253   |
+----------------+--------+---------+----------+
| mIoU           | 39.932 | 36.784  | 37.283   |
+----------------+--------+---------+----------+
2022-11-03 07:59:18,201 - dist_train_coco_seg_neg2.py - INFO: Iter: 28200; Elasped: 9:43:16; ETA: 17:51:23; LR: 4.058e-05; cls_loss: 0.0494, cls_loss_aux: 0.0559, ptc_loss: 0.1501, ctc_loss: 0.6287, seg_loss: 0.4703...
2022-11-03 08:02:31,616 - dist_train_coco_seg_neg2.py - INFO: Iter: 28400; Elasped: 9:46:29; ETA: 17:45:34; LR: 4.044e-05; cls_loss: 0.0476, cls_loss_aux: 0.0521, ptc_loss: 0.1480, ctc_loss: 0.5662, seg_loss: 0.4546...
2022-11-03 08:05:45,257 - dist_train_coco_seg_neg2.py - INFO: Iter: 28600; Elasped: 9:49:43; ETA: 17:39:50; LR: 4.029e-05; cls_loss: 0.0556, cls_loss_aux: 0.0615, ptc_loss: 0.1756, ctc_loss: 0.6302, seg_loss: 0.4878...
2022-11-03 08:08:59,404 - dist_train_coco_seg_neg2.py - INFO: Iter: 28800; Elasped: 9:52:57; ETA: 17:34:08; LR: 4.015e-05; cls_loss: 0.0534, cls_loss_aux: 0.0615, ptc_loss: 0.1507, ctc_loss: 0.5160, seg_loss: 0.4969...
2022-11-03 08:12:13,150 - dist_train_coco_seg_neg2.py - INFO: Iter: 29000; Elasped: 9:56:11; ETA: 17:28:27; LR: 4.001e-05; cls_loss: 0.0563, cls_loss_aux: 0.0634, ptc_loss: 0.1782, ctc_loss: 0.4909, seg_loss: 0.5481...
2022-11-03 08:15:27,031 - dist_train_coco_seg_neg2.py - INFO: Iter: 29200; Elasped: 9:59:25; ETA: 17:22:49; LR: 3.987e-05; cls_loss: 0.0506, cls_loss_aux: 0.0579, ptc_loss: 0.1727, ctc_loss: 0.5401, seg_loss: 0.4606...
2022-11-03 08:18:40,954 - dist_train_coco_seg_neg2.py - INFO: Iter: 29400; Elasped: 10:02:38; ETA: 17:17:11; LR: 3.973e-05; cls_loss: 0.0485, cls_loss_aux: 0.0558, ptc_loss: 0.1442, ctc_loss: 0.5365, seg_loss: 0.4404...
2022-11-03 08:21:54,729 - dist_train_coco_seg_neg2.py - INFO: Iter: 29600; Elasped: 10:05:52; ETA: 17:11:36; LR: 3.959e-05; cls_loss: 0.0473, cls_loss_aux: 0.0529, ptc_loss: 0.1607, ctc_loss: 0.5699, seg_loss: 0.4795...
2022-11-03 08:25:08,202 - dist_train_coco_seg_neg2.py - INFO: Iter: 29800; Elasped: 10:09:06; ETA: 17:06:04; LR: 3.945e-05; cls_loss: 0.0532, cls_loss_aux: 0.0598, ptc_loss: 0.1685, ctc_loss: 0.5618, seg_loss: 0.4502...
2022-11-03 08:28:22,011 - dist_train_coco_seg_neg2.py - INFO: Iter: 30000; Elasped: 10:12:20; ETA: 17:00:33; LR: 3.931e-05; cls_loss: 0.0521, cls_loss_aux: 0.0592, ptc_loss: 0.1395, ctc_loss: 0.5657, seg_loss: 0.4705...
2022-11-03 08:31:36,111 - dist_train_coco_seg_neg2.py - INFO: Iter: 30200; Elasped: 10:15:34; ETA: 16:55:04; LR: 3.916e-05; cls_loss: 0.0562, cls_loss_aux: 0.0636, ptc_loss: 0.1453, ctc_loss: 0.5168, seg_loss: 0.4767...
2022-11-03 08:34:49,766 - dist_train_coco_seg_neg2.py - INFO: Iter: 30400; Elasped: 10:18:47; ETA: 16:49:35; LR: 3.902e-05; cls_loss: 0.0522, cls_loss_aux: 0.0580, ptc_loss: 0.1480, ctc_loss: 0.5720, seg_loss: 0.4875...
2022-11-03 08:38:03,391 - dist_train_coco_seg_neg2.py - INFO: Iter: 30600; Elasped: 10:22:01; ETA: 16:44:10; LR: 3.888e-05; cls_loss: 0.0527, cls_loss_aux: 0.0585, ptc_loss: 0.1517, ctc_loss: 0.6386, seg_loss: 0.4900...
2022-11-03 08:41:21,278 - dist_train_coco_seg_neg2.py - INFO: Iter: 30800; Elasped: 10:25:19; ETA: 16:38:52; LR: 3.874e-05; cls_loss: 0.0527, cls_loss_aux: 0.0596, ptc_loss: 0.1460, ctc_loss: 0.5418, seg_loss: 0.4767...
2022-11-03 08:44:35,033 - dist_train_coco_seg_neg2.py - INFO: Iter: 31000; Elasped: 10:28:33; ETA: 16:33:30; LR: 3.860e-05; cls_loss: 0.0455, cls_loss_aux: 0.0508, ptc_loss: 0.1448, ctc_loss: 0.5911, seg_loss: 0.3964...
2022-11-03 08:47:48,907 - dist_train_coco_seg_neg2.py - INFO: Iter: 31200; Elasped: 10:31:46; ETA: 16:28:08; LR: 3.846e-05; cls_loss: 0.0521, cls_loss_aux: 0.0561, ptc_loss: 0.1574, ctc_loss: 0.4674, seg_loss: 0.5150...
2022-11-03 08:51:02,593 - dist_train_coco_seg_neg2.py - INFO: Iter: 31400; Elasped: 10:35:00; ETA: 16:22:50; LR: 3.831e-05; cls_loss: 0.0481, cls_loss_aux: 0.0539, ptc_loss: 0.1422, ctc_loss: 0.6292, seg_loss: 0.4398...
2022-11-03 08:54:16,328 - dist_train_coco_seg_neg2.py - INFO: Iter: 31600; Elasped: 10:38:14; ETA: 16:17:32; LR: 3.817e-05; cls_loss: 0.0508, cls_loss_aux: 0.0563, ptc_loss: 0.1523, ctc_loss: 0.6031, seg_loss: 0.4464...
2022-11-03 08:57:29,688 - dist_train_coco_seg_neg2.py - INFO: Iter: 31800; Elasped: 10:41:27; ETA: 16:12:15; LR: 3.803e-05; cls_loss: 0.0515, cls_loss_aux: 0.0584, ptc_loss: 0.1329, ctc_loss: 0.5975, seg_loss: 0.5147...
2022-11-03 09:00:43,326 - dist_train_coco_seg_neg2.py - INFO: Iter: 32000; Elasped: 10:44:41; ETA: 16:07:01; LR: 3.789e-05; cls_loss: 0.0547, cls_loss_aux: 0.0602, ptc_loss: 0.1424, ctc_loss: 0.5375, seg_loss: 0.4690...
2022-11-03 09:00:43,330 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 09:18:30,027 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.787804
2022-11-03 09:18:30,030 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 73.607 | 66.595  | 73.789   |
+----------------+--------+---------+----------+
| person         | 54.729 | 42.729  | 54.889   |
+----------------+--------+---------+----------+
| bicycle        | 41.748 | 24.498  | 38.320   |
+----------------+--------+---------+----------+
| car            | 38.170 | 39.258  | 40.286   |
+----------------+--------+---------+----------+
| motorcycle     | 60.698 | 58.264  | 59.294   |
+----------------+--------+---------+----------+
| airplane       | 62.169 | 59.728  | 61.954   |
+----------------+--------+---------+----------+
| bus            | 58.838 | 55.460  | 58.704   |
+----------------+--------+---------+----------+
| train          | 47.786 | 39.814  | 43.415   |
+----------------+--------+---------+----------+
| truck          | 43.130 | 30.915  | 37.525   |
+----------------+--------+---------+----------+
| boat           | 48.742 | 35.836  | 44.798   |
+----------------+--------+---------+----------+
| traffic light  | 21.270 | 41.984  | 35.486   |
+----------------+--------+---------+----------+
| fire hydrant   | 56.611 | 60.778  | 63.956   |
+----------------+--------+---------+----------+
| stop sign      | 50.957 | 29.766  | 60.743   |
+----------------+--------+---------+----------+
| parking meter  | 59.750 | 54.621  | 59.985   |
+----------------+--------+---------+----------+
| bench          | 34.761 | 26.597  | 40.483   |
+----------------+--------+---------+----------+
| bird           | 46.355 | 56.991  | 56.305   |
+----------------+--------+---------+----------+
| cat            | 80.155 | 76.684  | 72.256   |
+----------------+--------+---------+----------+
| dog            | 73.893 | 69.924  | 63.511   |
+----------------+--------+---------+----------+
| horse          | 69.925 | 63.233  | 62.893   |
+----------------+--------+---------+----------+
| sheep          | 73.066 | 64.682  | 71.304   |
+----------------+--------+---------+----------+
| cow            | 70.258 | 53.047  | 64.245   |
+----------------+--------+---------+----------+
| elephant       | 76.896 | 75.852  | 77.888   |
+----------------+--------+---------+----------+
| bear           | 78.683 | 73.280  | 77.653   |
+----------------+--------+---------+----------+
| zebra          | 77.385 | 73.718  | 76.532   |
+----------------+--------+---------+----------+
| giraffe        | 74.185 | 73.776  | 69.543   |
+----------------+--------+---------+----------+
| backpack       | 12.913 | 27.729  | 13.033   |
+----------------+--------+---------+----------+
| umbrella       | 58.308 | 59.049  | 59.549   |
+----------------+--------+---------+----------+
| handbag        | 12.553 | 13.167  | 3.916    |
+----------------+--------+---------+----------+
| tie            | 13.713 | 17.619  | 14.036   |
+----------------+--------+---------+----------+
| suitcase       | 57.786 | 51.451  | 49.994   |
+----------------+--------+---------+----------+
| frisbee        | 15.958 | 22.949  | 13.813   |
+----------------+--------+---------+----------+
| skis           | 2.790  | 2.922   | 1.960    |
+----------------+--------+---------+----------+
| snowboard      | 6.478  | 14.436  | 10.226   |
+----------------+--------+---------+----------+
| sports ball    | 2.990  | 9.243   | 7.052    |
+----------------+--------+---------+----------+
| kite           | 25.195 | 17.859  | 12.359   |
+----------------+--------+---------+----------+
| baseball bat   | 1.358  | 1.512   | 0.495    |
+----------------+--------+---------+----------+
| baseball glove | 5.589  | 12.092  | 3.149    |
+----------------+--------+---------+----------+
| skateboard     | 7.454  | 6.067   | 5.263    |
+----------------+--------+---------+----------+
| surfboard      | 6.744  | 6.253   | 5.800    |
+----------------+--------+---------+----------+
| tennis racket  | 3.630  | 3.734   | 2.457    |
+----------------+--------+---------+----------+
| bottle         | 22.564 | 14.425  | 17.483   |
+----------------+--------+---------+----------+
| wine glass     | 26.076 | 25.771  | 19.624   |
+----------------+--------+---------+----------+
| cup            | 23.401 | 16.947  | 19.075   |
+----------------+--------+---------+----------+
| fork           | 6.435  | 4.165   | 8.026    |
+----------------+--------+---------+----------+
| knife          | 6.337  | 5.861   | 8.421    |
+----------------+--------+---------+----------+
| spoon          | 3.524  | 3.027   | 0.816    |
+----------------+--------+---------+----------+
| bowl           | 20.285 | 20.305  | 10.976   |
+----------------+--------+---------+----------+
| banana         | 70.425 | 69.188  | 65.281   |
+----------------+--------+---------+----------+
| apple          | 54.004 | 28.892  | 55.124   |
+----------------+--------+---------+----------+
| sandwich       | 53.085 | 45.575  | 43.109   |
+----------------+--------+---------+----------+
| orange         | 71.149 | 66.076  | 60.941   |
+----------------+--------+---------+----------+
| broccoli       | 52.498 | 54.541  | 47.433   |
+----------------+--------+---------+----------+
| carrot         | 45.524 | 55.016  | 39.367   |
+----------------+--------+---------+----------+
| hot dog        | 58.269 | 53.819  | 57.541   |
+----------------+--------+---------+----------+
| pizza          | 68.735 | 47.111  | 59.666   |
+----------------+--------+---------+----------+
| donut          | 72.814 | 71.942  | 58.583   |
+----------------+--------+---------+----------+
| cake           | 57.185 | 48.820  | 39.072   |
+----------------+--------+---------+----------+
| chair          | 30.166 | 21.185  | 20.117   |
+----------------+--------+---------+----------+
| couch          | 51.089 | 44.926  | 41.087   |
+----------------+--------+---------+----------+
| potted plant   | 30.854 | 26.965  | 15.030   |
+----------------+--------+---------+----------+
| bed            | 56.092 | 55.017  | 52.950   |
+----------------+--------+---------+----------+
| dining table   | 26.037 | 24.655  | 19.933   |
+----------------+--------+---------+----------+
| toilet         | 65.667 | 62.189  | 62.886   |
+----------------+--------+---------+----------+
| tv             | 46.522 | 48.752  | 42.699   |
+----------------+--------+---------+----------+
| laptop         | 54.843 | 53.814  | 51.609   |
+----------------+--------+---------+----------+
| mouse          | 9.858  | 10.542  | 6.627    |
+----------------+--------+---------+----------+
| remote         | 24.679 | 34.896  | 26.892   |
+----------------+--------+---------+----------+
| keyboard       | 33.086 | 33.566  | 33.188   |
+----------------+--------+---------+----------+
| cell phone     | 31.371 | 13.074  | 41.649   |
+----------------+--------+---------+----------+
| microwave      | 31.722 | 23.102  | 41.184   |
+----------------+--------+---------+----------+
| oven           | 36.744 | 35.924  | 22.686   |
+----------------+--------+---------+----------+
| toaster        | 11.289 | 13.093  | 0        |
+----------------+--------+---------+----------+
| sink           | 23.509 | 15.733  | 27.469   |
+----------------+--------+---------+----------+
| refrigerator   | 49.953 | 45.272  | 48.914   |
+----------------+--------+---------+----------+
| book           | 31.668 | 36.728  | 21.879   |
+----------------+--------+---------+----------+
| clock          | 20.994 | 17.394  | 22.435   |
+----------------+--------+---------+----------+
| vase           | 24.615 | 26.533  | 27.918   |
+----------------+--------+---------+----------+
| scissors       | 31.619 | 49.805  | 39.953   |
+----------------+--------+---------+----------+
| teddy bear     | 66.302 | 63.873  | 66.211   |
+----------------+--------+---------+----------+
| hair drier     | 14.827 | 4.394   | 0        |
+----------------+--------+---------+----------+
| toothbrush     | 20.911 | 22.511  | 23.594   |
+----------------+--------+---------+----------+
| mIoU           | 40.049 | 37.402  | 37.485   |
+----------------+--------+---------+----------+
2022-11-03 09:21:43,778 - dist_train_coco_seg_neg2.py - INFO: Iter: 32200; Elasped: 11:05:41; ETA: 16:28:11; LR: 3.775e-05; cls_loss: 0.0570, cls_loss_aux: 0.0639, ptc_loss: 0.1392, ctc_loss: 0.4987, seg_loss: 0.5170...
2022-11-03 09:24:57,473 - dist_train_coco_seg_neg2.py - INFO: Iter: 32400; Elasped: 11:08:55; ETA: 16:22:43; LR: 3.760e-05; cls_loss: 0.0506, cls_loss_aux: 0.0564, ptc_loss: 0.1689, ctc_loss: 0.5716, seg_loss: 0.4817...
2022-11-03 09:28:10,988 - dist_train_coco_seg_neg2.py - INFO: Iter: 32600; Elasped: 11:12:08; ETA: 16:17:16; LR: 3.746e-05; cls_loss: 0.0504, cls_loss_aux: 0.0570, ptc_loss: 0.1537, ctc_loss: 0.6309, seg_loss: 0.5216...
2022-11-03 09:31:24,665 - dist_train_coco_seg_neg2.py - INFO: Iter: 32800; Elasped: 11:15:22; ETA: 16:11:52; LR: 3.732e-05; cls_loss: 0.0493, cls_loss_aux: 0.0557, ptc_loss: 0.1270, ctc_loss: 0.5464, seg_loss: 0.3870...
2022-11-03 09:34:38,344 - dist_train_coco_seg_neg2.py - INFO: Iter: 33000; Elasped: 11:18:36; ETA: 16:06:29; LR: 3.718e-05; cls_loss: 0.0519, cls_loss_aux: 0.0591, ptc_loss: 0.1629, ctc_loss: 0.5880, seg_loss: 0.4576...
2022-11-03 09:37:52,012 - dist_train_coco_seg_neg2.py - INFO: Iter: 33200; Elasped: 11:21:50; ETA: 16:01:08; LR: 3.703e-05; cls_loss: 0.0487, cls_loss_aux: 0.0548, ptc_loss: 0.1587, ctc_loss: 0.5613, seg_loss: 0.3766...
2022-11-03 09:41:06,043 - dist_train_coco_seg_neg2.py - INFO: Iter: 33400; Elasped: 11:25:04; ETA: 15:55:48; LR: 3.689e-05; cls_loss: 0.0504, cls_loss_aux: 0.0547, ptc_loss: 0.1401, ctc_loss: 0.5634, seg_loss: 0.4464...
2022-11-03 09:44:19,396 - dist_train_coco_seg_neg2.py - INFO: Iter: 33600; Elasped: 11:28:17; ETA: 15:50:29; LR: 3.675e-05; cls_loss: 0.0491, cls_loss_aux: 0.0535, ptc_loss: 0.1462, ctc_loss: 0.6149, seg_loss: 0.4857...
2022-11-03 09:47:32,936 - dist_train_coco_seg_neg2.py - INFO: Iter: 33800; Elasped: 11:31:30; ETA: 15:45:11; LR: 3.661e-05; cls_loss: 0.0545, cls_loss_aux: 0.0588, ptc_loss: 0.1311, ctc_loss: 0.6333, seg_loss: 0.4783...
2022-11-03 09:50:46,982 - dist_train_coco_seg_neg2.py - INFO: Iter: 34000; Elasped: 11:34:44; ETA: 15:39:56; LR: 3.646e-05; cls_loss: 0.0536, cls_loss_aux: 0.0600, ptc_loss: 0.1387, ctc_loss: 0.5907, seg_loss: 0.4573...
2022-11-03 09:54:00,447 - dist_train_coco_seg_neg2.py - INFO: Iter: 34200; Elasped: 11:37:58; ETA: 15:34:42; LR: 3.632e-05; cls_loss: 0.0489, cls_loss_aux: 0.0558, ptc_loss: 0.1461, ctc_loss: 0.5259, seg_loss: 0.5045...
2022-11-03 09:57:14,125 - dist_train_coco_seg_neg2.py - INFO: Iter: 34400; Elasped: 11:41:12; ETA: 15:29:29; LR: 3.618e-05; cls_loss: 0.0512, cls_loss_aux: 0.0559, ptc_loss: 0.1389, ctc_loss: 0.5549, seg_loss: 0.4680...
2022-11-03 10:00:28,232 - dist_train_coco_seg_neg2.py - INFO: Iter: 34600; Elasped: 11:44:26; ETA: 15:24:18; LR: 3.604e-05; cls_loss: 0.0515, cls_loss_aux: 0.0569, ptc_loss: 0.1566, ctc_loss: 0.5731, seg_loss: 0.4457...
2022-11-03 10:03:41,798 - dist_train_coco_seg_neg2.py - INFO: Iter: 34800; Elasped: 11:47:39; ETA: 15:19:07; LR: 3.589e-05; cls_loss: 0.0482, cls_loss_aux: 0.0536, ptc_loss: 0.1440, ctc_loss: 0.5829, seg_loss: 0.4245...
2022-11-03 10:06:55,720 - dist_train_coco_seg_neg2.py - INFO: Iter: 35000; Elasped: 11:50:53; ETA: 15:13:59; LR: 3.575e-05; cls_loss: 0.0472, cls_loss_aux: 0.0527, ptc_loss: 0.1528, ctc_loss: 0.4605, seg_loss: 0.4238...
2022-11-03 10:10:08,944 - dist_train_coco_seg_neg2.py - INFO: Iter: 35200; Elasped: 11:54:06; ETA: 15:08:51; LR: 3.561e-05; cls_loss: 0.0494, cls_loss_aux: 0.0559, ptc_loss: 0.1794, ctc_loss: 0.4491, seg_loss: 0.4864...
2022-11-03 10:13:22,740 - dist_train_coco_seg_neg2.py - INFO: Iter: 35400; Elasped: 11:57:20; ETA: 15:03:45; LR: 3.546e-05; cls_loss: 0.0517, cls_loss_aux: 0.0580, ptc_loss: 0.1598, ctc_loss: 0.4966, seg_loss: 0.4468...
2022-11-03 10:16:36,464 - dist_train_coco_seg_neg2.py - INFO: Iter: 35600; Elasped: 12:00:34; ETA: 14:58:41; LR: 3.532e-05; cls_loss: 0.0507, cls_loss_aux: 0.0561, ptc_loss: 0.1637, ctc_loss: 0.5768, seg_loss: 0.4426...
2022-11-03 10:19:50,276 - dist_train_coco_seg_neg2.py - INFO: Iter: 35800; Elasped: 12:03:48; ETA: 14:53:37; LR: 3.518e-05; cls_loss: 0.0512, cls_loss_aux: 0.0571, ptc_loss: 0.1425, ctc_loss: 0.5422, seg_loss: 0.4514...
2022-11-03 10:23:03,980 - dist_train_coco_seg_neg2.py - INFO: Iter: 36000; Elasped: 12:07:01; ETA: 14:48:34; LR: 3.503e-05; cls_loss: 0.0518, cls_loss_aux: 0.0579, ptc_loss: 0.1753, ctc_loss: 0.4533, seg_loss: 0.4482...
2022-11-03 10:23:03,982 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 10:40:50,432 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.794143
2022-11-03 10:40:50,433 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 69.426 | 61.855  | 70.476   |
+----------------+--------+---------+----------+
| person         | 46.086 | 32.516  | 46.028   |
+----------------+--------+---------+----------+
| bicycle        | 33.608 | 40.293  | 38.557   |
+----------------+--------+---------+----------+
| car            | 31.545 | 18.879  | 29.972   |
+----------------+--------+---------+----------+
| motorcycle     | 59.931 | 52.313  | 57.213   |
+----------------+--------+---------+----------+
| airplane       | 70.458 | 67.797  | 70.981   |
+----------------+--------+---------+----------+
| bus            | 51.123 | 46.888  | 51.332   |
+----------------+--------+---------+----------+
| train          | 50.372 | 45.026  | 45.467   |
+----------------+--------+---------+----------+
| truck          | 39.978 | 22.686  | 31.620   |
+----------------+--------+---------+----------+
| boat           | 46.209 | 39.894  | 41.957   |
+----------------+--------+---------+----------+
| traffic light  | 17.301 | 46.872  | 45.499   |
+----------------+--------+---------+----------+
| fire hydrant   | 50.597 | 47.900  | 63.753   |
+----------------+--------+---------+----------+
| stop sign      | 49.975 | 79.384  | 64.572   |
+----------------+--------+---------+----------+
| parking meter  | 47.505 | 40.869  | 57.334   |
+----------------+--------+---------+----------+
| bench          | 28.019 | 37.766  | 27.585   |
+----------------+--------+---------+----------+
| bird           | 45.545 | 59.478  | 45.773   |
+----------------+--------+---------+----------+
| cat            | 78.518 | 76.196  | 70.560   |
+----------------+--------+---------+----------+
| dog            | 64.699 | 51.456  | 59.000   |
+----------------+--------+---------+----------+
| horse          | 66.359 | 57.777  | 64.307   |
+----------------+--------+---------+----------+
| sheep          | 72.175 | 63.733  | 66.047   |
+----------------+--------+---------+----------+
| cow            | 67.077 | 55.734  | 62.224   |
+----------------+--------+---------+----------+
| elephant       | 74.727 | 75.441  | 76.883   |
+----------------+--------+---------+----------+
| bear           | 75.866 | 64.325  | 70.500   |
+----------------+--------+---------+----------+
| zebra          | 77.657 | 71.278  | 75.703   |
+----------------+--------+---------+----------+
| giraffe        | 72.816 | 73.202  | 68.819   |
+----------------+--------+---------+----------+
| backpack       | 13.735 | 27.228  | 15.794   |
+----------------+--------+---------+----------+
| umbrella       | 49.360 | 50.934  | 56.473   |
+----------------+--------+---------+----------+
| handbag        | 9.656  | 9.986   | 3.033    |
+----------------+--------+---------+----------+
| tie            | 19.208 | 15.520  | 19.263   |
+----------------+--------+---------+----------+
| suitcase       | 55.847 | 49.325  | 50.396   |
+----------------+--------+---------+----------+
| frisbee        | 11.735 | 13.849  | 7.388    |
+----------------+--------+---------+----------+
| skis           | 2.814  | 2.343   | 2.379    |
+----------------+--------+---------+----------+
| snowboard      | 6.860  | 9.336   | 5.781    |
+----------------+--------+---------+----------+
| sports ball    | 3.438  | 11.504  | 8.068    |
+----------------+--------+---------+----------+
| kite           | 27.774 | 27.466  | 27.862   |
+----------------+--------+---------+----------+
| baseball bat   | 1.686  | 5.258   | 0.998    |
+----------------+--------+---------+----------+
| baseball glove | 4.415  | 3.937   | 2.132    |
+----------------+--------+---------+----------+
| skateboard     | 7.996  | 12.762  | 5.516    |
+----------------+--------+---------+----------+
| surfboard      | 7.701  | 7.304   | 6.825    |
+----------------+--------+---------+----------+
| tennis racket  | 3.873  | 3.824   | 2.553    |
+----------------+--------+---------+----------+
| bottle         | 18.981 | 15.514  | 17.721   |
+----------------+--------+---------+----------+
| wine glass     | 24.722 | 24.401  | 20.194   |
+----------------+--------+---------+----------+
| cup            | 19.941 | 26.343  | 20.442   |
+----------------+--------+---------+----------+
| fork           | 6.768  | 3.620   | 6.539    |
+----------------+--------+---------+----------+
| knife          | 6.281  | 23.590  | 12.121   |
+----------------+--------+---------+----------+
| spoon          | 3.674  | 2.825   | 2.180    |
+----------------+--------+---------+----------+
| bowl           | 15.379 | 20.624  | 12.726   |
+----------------+--------+---------+----------+
| banana         | 69.216 | 69.653  | 65.772   |
+----------------+--------+---------+----------+
| apple          | 42.939 | 46.356  | 51.964   |
+----------------+--------+---------+----------+
| sandwich       | 55.997 | 49.047  | 44.161   |
+----------------+--------+---------+----------+
| orange         | 62.886 | 51.148  | 60.479   |
+----------------+--------+---------+----------+
| broccoli       | 53.249 | 38.488  | 44.005   |
+----------------+--------+---------+----------+
| carrot         | 53.870 | 43.359  | 44.696   |
+----------------+--------+---------+----------+
| hot dog        | 60.815 | 60.510  | 57.690   |
+----------------+--------+---------+----------+
| pizza          | 68.734 | 38.469  | 61.077   |
+----------------+--------+---------+----------+
| donut          | 70.184 | 62.476  | 52.735   |
+----------------+--------+---------+----------+
| cake           | 54.736 | 41.321  | 41.849   |
+----------------+--------+---------+----------+
| chair          | 24.737 | 21.869  | 15.918   |
+----------------+--------+---------+----------+
| couch          | 49.514 | 42.851  | 36.616   |
+----------------+--------+---------+----------+
| potted plant   | 29.934 | 26.389  | 13.759   |
+----------------+--------+---------+----------+
| bed            | 54.931 | 53.887  | 51.834   |
+----------------+--------+---------+----------+
| dining table   | 28.126 | 31.167  | 22.187   |
+----------------+--------+---------+----------+
| toilet         | 63.908 | 54.718  | 63.141   |
+----------------+--------+---------+----------+
| tv             | 42.730 | 34.556  | 37.311   |
+----------------+--------+---------+----------+
| laptop         | 41.250 | 38.669  | 30.581   |
+----------------+--------+---------+----------+
| mouse          | 8.014  | 10.990  | 4.251    |
+----------------+--------+---------+----------+
| remote         | 24.128 | 16.653  | 31.709   |
+----------------+--------+---------+----------+
| keyboard       | 32.280 | 24.205  | 34.173   |
+----------------+--------+---------+----------+
| cell phone     | 28.678 | 31.018  | 53.532   |
+----------------+--------+---------+----------+
| microwave      | 28.100 | 22.584  | 33.225   |
+----------------+--------+---------+----------+
| oven           | 34.261 | 33.672  | 27.200   |
+----------------+--------+---------+----------+
| toaster        | 9.216  | 4.120   | 0        |
+----------------+--------+---------+----------+
| sink           | 18.505 | 20.603  | 11.677   |
+----------------+--------+---------+----------+
| refrigerator   | 50.238 | 42.906  | 45.951   |
+----------------+--------+---------+----------+
| book           | 29.658 | 31.711  | 25.685   |
+----------------+--------+---------+----------+
| clock          | 24.051 | 32.375  | 25.872   |
+----------------+--------+---------+----------+
| vase           | 24.318 | 28.026  | 19.937   |
+----------------+--------+---------+----------+
| scissors       | 26.692 | 49.238  | 39.759   |
+----------------+--------+---------+----------+
| teddy bear     | 65.255 | 64.693  | 62.368   |
+----------------+--------+---------+----------+
| hair drier     | 13.241 | 5.604   | 0        |
+----------------+--------+---------+----------+
| toothbrush     | 19.734 | 16.880  | 29.035   |
+----------------+--------+---------+----------+
| mIoU           | 37.945 | 36.263  | 36.404   |
+----------------+--------+---------+----------+
2022-11-03 10:44:06,738 - dist_train_coco_seg_neg2.py - INFO: Iter: 36200; Elasped: 12:28:04; ETA: 15:05:07; LR: 3.489e-05; cls_loss: 0.0510, cls_loss_aux: 0.0560, ptc_loss: 0.1768, ctc_loss: 0.4692, seg_loss: 0.5076...
2022-11-03 10:47:20,394 - dist_train_coco_seg_neg2.py - INFO: Iter: 36400; Elasped: 12:31:18; ETA: 14:59:54; LR: 3.475e-05; cls_loss: 0.0528, cls_loss_aux: 0.0580, ptc_loss: 0.1534, ctc_loss: 0.5368, seg_loss: 0.4555...
2022-11-03 10:50:34,546 - dist_train_coco_seg_neg2.py - INFO: Iter: 36600; Elasped: 12:34:32; ETA: 14:54:43; LR: 3.460e-05; cls_loss: 0.0524, cls_loss_aux: 0.0578, ptc_loss: 0.1354, ctc_loss: 0.5353, seg_loss: 0.4229...
2022-11-03 10:53:48,307 - dist_train_coco_seg_neg2.py - INFO: Iter: 36800; Elasped: 12:37:46; ETA: 14:49:33; LR: 3.446e-05; cls_loss: 0.0488, cls_loss_aux: 0.0546, ptc_loss: 0.1658, ctc_loss: 0.4683, seg_loss: 0.4779...
2022-11-03 10:57:01,641 - dist_train_coco_seg_neg2.py - INFO: Iter: 37000; Elasped: 12:40:59; ETA: 14:44:23; LR: 3.432e-05; cls_loss: 0.0463, cls_loss_aux: 0.0514, ptc_loss: 0.1521, ctc_loss: 0.4841, seg_loss: 0.4402...
2022-11-03 11:00:16,010 - dist_train_coco_seg_neg2.py - INFO: Iter: 37200; Elasped: 12:44:14; ETA: 14:39:16; LR: 3.417e-05; cls_loss: 0.0520, cls_loss_aux: 0.0571, ptc_loss: 0.1560, ctc_loss: 0.5165, seg_loss: 0.4806...
2022-11-03 11:03:29,784 - dist_train_coco_seg_neg2.py - INFO: Iter: 37400; Elasped: 12:47:27; ETA: 14:34:09; LR: 3.403e-05; cls_loss: 0.0526, cls_loss_aux: 0.0588, ptc_loss: 0.1607, ctc_loss: 0.5263, seg_loss: 0.4524...
2022-11-03 11:06:43,358 - dist_train_coco_seg_neg2.py - INFO: Iter: 37600; Elasped: 12:50:41; ETA: 14:29:04; LR: 3.389e-05; cls_loss: 0.0510, cls_loss_aux: 0.0573, ptc_loss: 0.1450, ctc_loss: 0.5161, seg_loss: 0.4333...
2022-11-03 11:09:56,955 - dist_train_coco_seg_neg2.py - INFO: Iter: 37800; Elasped: 12:53:54; ETA: 14:23:59; LR: 3.374e-05; cls_loss: 0.0501, cls_loss_aux: 0.0556, ptc_loss: 0.1534, ctc_loss: 0.4589, seg_loss: 0.4786...
2022-11-03 11:13:10,825 - dist_train_coco_seg_neg2.py - INFO: Iter: 38000; Elasped: 12:57:08; ETA: 14:18:56; LR: 3.360e-05; cls_loss: 0.0512, cls_loss_aux: 0.0571, ptc_loss: 0.1562, ctc_loss: 0.5850, seg_loss: 0.4821...
2022-11-03 11:16:24,190 - dist_train_coco_seg_neg2.py - INFO: Iter: 38200; Elasped: 13:00:22; ETA: 14:13:54; LR: 3.345e-05; cls_loss: 0.0516, cls_loss_aux: 0.0569, ptc_loss: 0.1429, ctc_loss: 0.5792, seg_loss: 0.4138...
2022-11-03 11:19:37,934 - dist_train_coco_seg_neg2.py - INFO: Iter: 38400; Elasped: 13:03:35; ETA: 14:08:52; LR: 3.331e-05; cls_loss: 0.0488, cls_loss_aux: 0.0547, ptc_loss: 0.1300, ctc_loss: 0.5391, seg_loss: 0.4295...
2022-11-03 11:22:51,707 - dist_train_coco_seg_neg2.py - INFO: Iter: 38600; Elasped: 13:06:49; ETA: 14:03:53; LR: 3.317e-05; cls_loss: 0.0488, cls_loss_aux: 0.0538, ptc_loss: 0.1511, ctc_loss: 0.4434, seg_loss: 0.3835...
2022-11-03 11:26:05,472 - dist_train_coco_seg_neg2.py - INFO: Iter: 38800; Elasped: 13:10:03; ETA: 13:58:55; LR: 3.302e-05; cls_loss: 0.0519, cls_loss_aux: 0.0569, ptc_loss: 0.1548, ctc_loss: 0.5473, seg_loss: 0.4004...
2022-11-03 11:29:19,371 - dist_train_coco_seg_neg2.py - INFO: Iter: 39000; Elasped: 13:13:17; ETA: 13:53:57; LR: 3.288e-05; cls_loss: 0.0471, cls_loss_aux: 0.0522, ptc_loss: 0.1450, ctc_loss: 0.5962, seg_loss: 0.4057...
2022-11-03 11:32:33,013 - dist_train_coco_seg_neg2.py - INFO: Iter: 39200; Elasped: 13:16:31; ETA: 13:49:01; LR: 3.273e-05; cls_loss: 0.0531, cls_loss_aux: 0.0585, ptc_loss: 0.1586, ctc_loss: 0.5945, seg_loss: 0.4085...
2022-11-03 11:35:46,618 - dist_train_coco_seg_neg2.py - INFO: Iter: 39400; Elasped: 13:19:44; ETA: 13:44:05; LR: 3.259e-05; cls_loss: 0.0530, cls_loss_aux: 0.0578, ptc_loss: 0.1507, ctc_loss: 0.5072, seg_loss: 0.4824...
2022-11-03 11:39:00,706 - dist_train_coco_seg_neg2.py - INFO: Iter: 39600; Elasped: 13:22:58; ETA: 13:39:11; LR: 3.244e-05; cls_loss: 0.0504, cls_loss_aux: 0.0557, ptc_loss: 0.1401, ctc_loss: 0.5373, seg_loss: 0.4507...
2022-11-03 11:42:14,332 - dist_train_coco_seg_neg2.py - INFO: Iter: 39800; Elasped: 13:26:12; ETA: 13:34:18; LR: 3.230e-05; cls_loss: 0.0491, cls_loss_aux: 0.0547, ptc_loss: 0.1573, ctc_loss: 0.5915, seg_loss: 0.4312...
2022-11-03 11:45:28,049 - dist_train_coco_seg_neg2.py - INFO: Iter: 40000; Elasped: 13:29:26; ETA: 13:29:26; LR: 3.215e-05; cls_loss: 0.0512, cls_loss_aux: 0.0560, ptc_loss: 0.1289, ctc_loss: 0.5841, seg_loss: 0.4070...
2022-11-03 11:45:28,051 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 12:03:15,556 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.801973
2022-11-03 12:03:15,558 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 73.750 | 69.225  | 73.793   |
+----------------+--------+---------+----------+
| person         | 51.521 | 46.677  | 52.353   |
+----------------+--------+---------+----------+
| bicycle        | 46.532 | 40.855  | 39.962   |
+----------------+--------+---------+----------+
| car            | 38.857 | 36.919  | 38.508   |
+----------------+--------+---------+----------+
| motorcycle     | 58.464 | 56.402  | 58.027   |
+----------------+--------+---------+----------+
| airplane       | 68.810 | 65.921  | 69.022   |
+----------------+--------+---------+----------+
| bus            | 51.345 | 48.614  | 51.070   |
+----------------+--------+---------+----------+
| train          | 52.326 | 47.382  | 49.500   |
+----------------+--------+---------+----------+
| truck          | 41.423 | 33.585  | 37.641   |
+----------------+--------+---------+----------+
| boat           | 48.174 | 41.099  | 43.573   |
+----------------+--------+---------+----------+
| traffic light  | 21.928 | 39.865  | 40.331   |
+----------------+--------+---------+----------+
| fire hydrant   | 64.390 | 67.536  | 68.527   |
+----------------+--------+---------+----------+
| stop sign      | 56.932 | 29.710  | 62.368   |
+----------------+--------+---------+----------+
| parking meter  | 55.626 | 43.970  | 64.008   |
+----------------+--------+---------+----------+
| bench          | 38.058 | 37.040  | 42.509   |
+----------------+--------+---------+----------+
| bird           | 53.394 | 62.339  | 56.368   |
+----------------+--------+---------+----------+
| cat            | 79.539 | 70.590  | 72.174   |
+----------------+--------+---------+----------+
| dog            | 70.346 | 43.091  | 60.533   |
+----------------+--------+---------+----------+
| horse          | 68.746 | 55.626  | 63.531   |
+----------------+--------+---------+----------+
| sheep          | 73.690 | 65.239  | 72.091   |
+----------------+--------+---------+----------+
| cow            | 69.286 | 60.880  | 64.377   |
+----------------+--------+---------+----------+
| elephant       | 79.686 | 79.267  | 80.504   |
+----------------+--------+---------+----------+
| bear           | 78.093 | 71.866  | 79.710   |
+----------------+--------+---------+----------+
| zebra          | 77.453 | 75.291  | 77.269   |
+----------------+--------+---------+----------+
| giraffe        | 72.124 | 73.148  | 68.851   |
+----------------+--------+---------+----------+
| backpack       | 18.172 | 20.016  | 19.684   |
+----------------+--------+---------+----------+
| umbrella       | 64.147 | 58.404  | 62.847   |
+----------------+--------+---------+----------+
| handbag        | 13.363 | 10.886  | 7.116    |
+----------------+--------+---------+----------+
| tie            | 18.974 | 11.878  | 20.322   |
+----------------+--------+---------+----------+
| suitcase       | 55.479 | 56.016  | 56.921   |
+----------------+--------+---------+----------+
| frisbee        | 12.203 | 15.435  | 10.293   |
+----------------+--------+---------+----------+
| skis           | 2.896  | 2.319   | 2.087    |
+----------------+--------+---------+----------+
| snowboard      | 6.531  | 8.535   | 7.451    |
+----------------+--------+---------+----------+
| sports ball    | 2.571  | 7.424   | 3.413    |
+----------------+--------+---------+----------+
| kite           | 28.245 | 37.390  | 21.054   |
+----------------+--------+---------+----------+
| baseball bat   | 1.276  | 0.960   | 0.577    |
+----------------+--------+---------+----------+
| baseball glove | 4.735  | 7.267   | 3.993    |
+----------------+--------+---------+----------+
| skateboard     | 8.420  | 10.105  | 7.298    |
+----------------+--------+---------+----------+
| surfboard      | 6.259  | 6.203   | 5.689    |
+----------------+--------+---------+----------+
| tennis racket  | 3.913  | 3.664   | 2.729    |
+----------------+--------+---------+----------+
| bottle         | 25.795 | 16.457  | 19.298   |
+----------------+--------+---------+----------+
| wine glass     | 28.919 | 27.411  | 22.191   |
+----------------+--------+---------+----------+
| cup            | 23.784 | 12.711  | 22.372   |
+----------------+--------+---------+----------+
| fork           | 7.473  | 22.088  | 10.938   |
+----------------+--------+---------+----------+
| knife          | 7.517  | 24.374  | 11.128   |
+----------------+--------+---------+----------+
| spoon          | 4.807  | 3.402   | 3.074    |
+----------------+--------+---------+----------+
| bowl           | 16.183 | 21.594  | 12.653   |
+----------------+--------+---------+----------+
| banana         | 73.274 | 69.724  | 67.870   |
+----------------+--------+---------+----------+
| apple          | 56.860 | 59.660  | 54.515   |
+----------------+--------+---------+----------+
| sandwich       | 49.215 | 45.314  | 40.868   |
+----------------+--------+---------+----------+
| orange         | 70.071 | 68.745  | 65.003   |
+----------------+--------+---------+----------+
| broccoli       | 56.754 | 53.285  | 50.802   |
+----------------+--------+---------+----------+
| carrot         | 53.160 | 48.527  | 46.054   |
+----------------+--------+---------+----------+
| hot dog        | 65.777 | 22.484  | 60.400   |
+----------------+--------+---------+----------+
| pizza          | 64.575 | 61.906  | 57.863   |
+----------------+--------+---------+----------+
| donut          | 71.295 | 66.991  | 53.915   |
+----------------+--------+---------+----------+
| cake           | 51.423 | 49.353  | 39.920   |
+----------------+--------+---------+----------+
| chair          | 27.916 | 30.456  | 21.557   |
+----------------+--------+---------+----------+
| couch          | 48.503 | 37.254  | 40.357   |
+----------------+--------+---------+----------+
| potted plant   | 25.058 | 24.257  | 7.698    |
+----------------+--------+---------+----------+
| bed            | 50.607 | 54.744  | 50.155   |
+----------------+--------+---------+----------+
| dining table   | 26.402 | 18.107  | 23.834   |
+----------------+--------+---------+----------+
| toilet         | 59.992 | 55.790  | 59.477   |
+----------------+--------+---------+----------+
| tv             | 48.348 | 40.906  | 45.196   |
+----------------+--------+---------+----------+
| laptop         | 53.349 | 47.946  | 50.586   |
+----------------+--------+---------+----------+
| mouse          | 14.370 | 5.796   | 10.501   |
+----------------+--------+---------+----------+
| remote         | 33.910 | 26.415  | 49.901   |
+----------------+--------+---------+----------+
| keyboard       | 37.058 | 22.224  | 26.961   |
+----------------+--------+---------+----------+
| cell phone     | 35.835 | 26.311  | 50.435   |
+----------------+--------+---------+----------+
| microwave      | 34.675 | 54.256  | 49.332   |
+----------------+--------+---------+----------+
| oven           | 35.688 | 31.414  | 32.224   |
+----------------+--------+---------+----------+
| toaster        | 14.008 | 3.870   | 0        |
+----------------+--------+---------+----------+
| sink           | 21.030 | 15.602  | 16.952   |
+----------------+--------+---------+----------+
| refrigerator   | 51.056 | 46.686  | 50.292   |
+----------------+--------+---------+----------+
| book           | 34.856 | 36.222  | 24.238   |
+----------------+--------+---------+----------+
| clock          | 26.120 | 35.030  | 27.090   |
+----------------+--------+---------+----------+
| vase           | 26.703 | 29.348  | 26.310   |
+----------------+--------+---------+----------+
| scissors       | 35.667 | 48.168  | 43.216   |
+----------------+--------+---------+----------+
| teddy bear     | 68.265 | 64.591  | 68.283   |
+----------------+--------+---------+----------+
| hair drier     | 12.470 | 2.932   | 0        |
+----------------+--------+---------+----------+
| toothbrush     | 25.809 | 24.374  | 28.942   |
+----------------+--------+---------+----------+
| mIoU           | 40.892 | 37.967  | 39.018   |
+----------------+--------+---------+----------+
2022-11-03 12:06:30,543 - dist_train_coco_seg_neg2.py - INFO: Iter: 40200; Elasped: 13:50:28; ETA: 13:42:12; LR: 3.201e-05; cls_loss: 0.0489, cls_loss_aux: 0.0552, ptc_loss: 0.1542, ctc_loss: 0.5730, seg_loss: 0.4511...
2022-11-03 12:09:44,376 - dist_train_coco_seg_neg2.py - INFO: Iter: 40400; Elasped: 13:53:42; ETA: 13:37:11; LR: 3.186e-05; cls_loss: 0.0512, cls_loss_aux: 0.0569, ptc_loss: 0.1425, ctc_loss: 0.6056, seg_loss: 0.4140...
2022-11-03 12:12:58,492 - dist_train_coco_seg_neg2.py - INFO: Iter: 40600; Elasped: 13:56:56; ETA: 13:32:11; LR: 3.172e-05; cls_loss: 0.0472, cls_loss_aux: 0.0531, ptc_loss: 0.1319, ctc_loss: 0.6190, seg_loss: 0.4063...
2022-11-03 12:16:12,295 - dist_train_coco_seg_neg2.py - INFO: Iter: 40800; Elasped: 14:00:10; ETA: 13:27:13; LR: 3.157e-05; cls_loss: 0.0472, cls_loss_aux: 0.0526, ptc_loss: 0.1391, ctc_loss: 0.5562, seg_loss: 0.4302...
2022-11-03 12:19:26,534 - dist_train_coco_seg_neg2.py - INFO: Iter: 41000; Elasped: 14:03:24; ETA: 13:22:15; LR: 3.143e-05; cls_loss: 0.0493, cls_loss_aux: 0.0554, ptc_loss: 0.1612, ctc_loss: 0.5557, seg_loss: 0.4379...
2022-11-03 12:22:44,587 - dist_train_coco_seg_neg2.py - INFO: Iter: 41200; Elasped: 14:06:42; ETA: 13:17:22; LR: 3.128e-05; cls_loss: 0.0465, cls_loss_aux: 0.0500, ptc_loss: 0.1445, ctc_loss: 0.5594, seg_loss: 0.4368...
2022-11-03 12:25:58,864 - dist_train_coco_seg_neg2.py - INFO: Iter: 41400; Elasped: 14:09:56; ETA: 13:12:26; LR: 3.114e-05; cls_loss: 0.0498, cls_loss_aux: 0.0558, ptc_loss: 0.1442, ctc_loss: 0.6090, seg_loss: 0.4227...
2022-11-03 12:29:12,829 - dist_train_coco_seg_neg2.py - INFO: Iter: 41600; Elasped: 14:13:10; ETA: 13:07:32; LR: 3.099e-05; cls_loss: 0.0552, cls_loss_aux: 0.0600, ptc_loss: 0.1495, ctc_loss: 0.5119, seg_loss: 0.4381...
2022-11-03 12:32:26,847 - dist_train_coco_seg_neg2.py - INFO: Iter: 41800; Elasped: 14:16:24; ETA: 13:02:38; LR: 3.085e-05; cls_loss: 0.0494, cls_loss_aux: 0.0535, ptc_loss: 0.1561, ctc_loss: 0.5032, seg_loss: 0.4804...
2022-11-03 12:35:40,791 - dist_train_coco_seg_neg2.py - INFO: Iter: 42000; Elasped: 14:19:38; ETA: 12:57:45; LR: 3.070e-05; cls_loss: 0.0487, cls_loss_aux: 0.0540, ptc_loss: 0.1585, ctc_loss: 0.5018, seg_loss: 0.4496...
2022-11-03 12:38:54,409 - dist_train_coco_seg_neg2.py - INFO: Iter: 42200; Elasped: 14:22:52; ETA: 12:52:53; LR: 3.056e-05; cls_loss: 0.0481, cls_loss_aux: 0.0525, ptc_loss: 0.1562, ctc_loss: 0.5013, seg_loss: 0.4221...
2022-11-03 12:42:08,773 - dist_train_coco_seg_neg2.py - INFO: Iter: 42400; Elasped: 14:26:06; ETA: 12:48:03; LR: 3.041e-05; cls_loss: 0.0520, cls_loss_aux: 0.0576, ptc_loss: 0.1640, ctc_loss: 0.4844, seg_loss: 0.5029...
2022-11-03 12:45:22,537 - dist_train_coco_seg_neg2.py - INFO: Iter: 42600; Elasped: 14:29:20; ETA: 12:43:13; LR: 3.027e-05; cls_loss: 0.0508, cls_loss_aux: 0.0550, ptc_loss: 0.1495, ctc_loss: 0.4985, seg_loss: 0.4438...
2022-11-03 12:48:35,988 - dist_train_coco_seg_neg2.py - INFO: Iter: 42800; Elasped: 14:32:33; ETA: 12:38:23; LR: 3.012e-05; cls_loss: 0.0531, cls_loss_aux: 0.0583, ptc_loss: 0.1694, ctc_loss: 0.5143, seg_loss: 0.4639...
2022-11-03 12:51:49,916 - dist_train_coco_seg_neg2.py - INFO: Iter: 43000; Elasped: 14:35:47; ETA: 12:33:34; LR: 2.998e-05; cls_loss: 0.0467, cls_loss_aux: 0.0513, ptc_loss: 0.1555, ctc_loss: 0.4784, seg_loss: 0.4044...
2022-11-03 12:55:03,477 - dist_train_coco_seg_neg2.py - INFO: Iter: 43200; Elasped: 14:39:01; ETA: 12:28:47; LR: 2.983e-05; cls_loss: 0.0508, cls_loss_aux: 0.0547, ptc_loss: 0.1471, ctc_loss: 0.5829, seg_loss: 0.4447...
2022-11-03 12:58:17,335 - dist_train_coco_seg_neg2.py - INFO: Iter: 43400; Elasped: 14:42:15; ETA: 12:24:01; LR: 2.968e-05; cls_loss: 0.0479, cls_loss_aux: 0.0505, ptc_loss: 0.1582, ctc_loss: 0.6180, seg_loss: 0.3919...
2022-11-03 13:01:31,190 - dist_train_coco_seg_neg2.py - INFO: Iter: 43600; Elasped: 14:45:29; ETA: 12:19:15; LR: 2.954e-05; cls_loss: 0.0407, cls_loss_aux: 0.0449, ptc_loss: 0.1356, ctc_loss: 0.5976, seg_loss: 0.3537...
2022-11-03 13:04:44,786 - dist_train_coco_seg_neg2.py - INFO: Iter: 43800; Elasped: 14:48:42; ETA: 12:14:29; LR: 2.939e-05; cls_loss: 0.0482, cls_loss_aux: 0.0516, ptc_loss: 0.1565, ctc_loss: 0.5171, seg_loss: 0.4083...
2022-11-03 13:07:58,413 - dist_train_coco_seg_neg2.py - INFO: Iter: 44000; Elasped: 14:51:56; ETA: 12:09:45; LR: 2.925e-05; cls_loss: 0.0508, cls_loss_aux: 0.0550, ptc_loss: 0.1564, ctc_loss: 0.5245, seg_loss: 0.3963...
2022-11-03 13:07:58,414 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 13:25:46,807 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.796839
2022-11-03 13:25:46,808 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 70.416 | 65.538  | 70.543   |
+----------------+--------+---------+----------+
| person         | 44.579 | 36.173  | 43.400   |
+----------------+--------+---------+----------+
| bicycle        | 39.726 | 42.036  | 39.372   |
+----------------+--------+---------+----------+
| car            | 33.761 | 37.577  | 33.041   |
+----------------+--------+---------+----------+
| motorcycle     | 56.847 | 55.398  | 55.815   |
+----------------+--------+---------+----------+
| airplane       | 62.552 | 57.267  | 62.939   |
+----------------+--------+---------+----------+
| bus            | 34.806 | 24.898  | 33.634   |
+----------------+--------+---------+----------+
| train          | 46.117 | 42.386  | 44.605   |
+----------------+--------+---------+----------+
| truck          | 40.017 | 33.851  | 35.693   |
+----------------+--------+---------+----------+
| boat           | 42.101 | 37.665  | 39.487   |
+----------------+--------+---------+----------+
| traffic light  | 17.494 | 50.166  | 42.696   |
+----------------+--------+---------+----------+
| fire hydrant   | 55.417 | 40.131  | 60.280   |
+----------------+--------+---------+----------+
| stop sign      | 47.677 | 68.429  | 64.858   |
+----------------+--------+---------+----------+
| parking meter  | 55.266 | 64.473  | 62.366   |
+----------------+--------+---------+----------+
| bench          | 35.086 | 31.497  | 42.259   |
+----------------+--------+---------+----------+
| bird           | 50.766 | 52.945  | 57.030   |
+----------------+--------+---------+----------+
| cat            | 77.756 | 76.454  | 69.611   |
+----------------+--------+---------+----------+
| dog            | 61.768 | 63.861  | 53.798   |
+----------------+--------+---------+----------+
| horse          | 68.050 | 56.211  | 64.326   |
+----------------+--------+---------+----------+
| sheep          | 71.883 | 57.424  | 69.700   |
+----------------+--------+---------+----------+
| cow            | 69.152 | 50.624  | 62.132   |
+----------------+--------+---------+----------+
| elephant       | 76.016 | 74.054  | 79.010   |
+----------------+--------+---------+----------+
| bear           | 76.901 | 72.570  | 78.620   |
+----------------+--------+---------+----------+
| zebra          | 78.264 | 75.781  | 77.255   |
+----------------+--------+---------+----------+
| giraffe        | 74.059 | 73.840  | 71.719   |
+----------------+--------+---------+----------+
| backpack       | 18.903 | 23.587  | 18.588   |
+----------------+--------+---------+----------+
| umbrella       | 63.082 | 68.330  | 64.734   |
+----------------+--------+---------+----------+
| handbag        | 14.976 | 18.628  | 5.457    |
+----------------+--------+---------+----------+
| tie            | 19.973 | 32.380  | 20.351   |
+----------------+--------+---------+----------+
| suitcase       | 57.177 | 56.301  | 54.731   |
+----------------+--------+---------+----------+
| frisbee        | 11.101 | 16.441  | 8.414    |
+----------------+--------+---------+----------+
| skis           | 2.871  | 3.377   | 1.870    |
+----------------+--------+---------+----------+
| snowboard      | 7.208  | 29.369  | 16.397   |
+----------------+--------+---------+----------+
| sports ball    | 2.586  | 4.532   | 2.016    |
+----------------+--------+---------+----------+
| kite           | 28.934 | 35.134  | 27.739   |
+----------------+--------+---------+----------+
| baseball bat   | 1.708  | 1.167   | 2.234    |
+----------------+--------+---------+----------+
| baseball glove | 5.353  | 13.636  | 4.624    |
+----------------+--------+---------+----------+
| skateboard     | 7.546  | 13.940  | 6.198    |
+----------------+--------+---------+----------+
| surfboard      | 9.780  | 8.774   | 9.646    |
+----------------+--------+---------+----------+
| tennis racket  | 3.800  | 3.090   | 2.577    |
+----------------+--------+---------+----------+
| bottle         | 25.212 | 17.133  | 20.071   |
+----------------+--------+---------+----------+
| wine glass     | 27.472 | 27.459  | 17.418   |
+----------------+--------+---------+----------+
| cup            | 27.614 | 27.650  | 25.948   |
+----------------+--------+---------+----------+
| fork           | 7.165  | 11.616  | 6.581    |
+----------------+--------+---------+----------+
| knife          | 7.729  | 25.895  | 11.922   |
+----------------+--------+---------+----------+
| spoon          | 4.799  | 2.756   | 2.364    |
+----------------+--------+---------+----------+
| bowl           | 20.139 | 23.677  | 15.162   |
+----------------+--------+---------+----------+
| banana         | 71.738 | 69.776  | 68.445   |
+----------------+--------+---------+----------+
| apple          | 52.602 | 55.818  | 50.974   |
+----------------+--------+---------+----------+
| sandwich       | 46.637 | 41.851  | 42.202   |
+----------------+--------+---------+----------+
| orange         | 68.972 | 66.898  | 69.483   |
+----------------+--------+---------+----------+
| broccoli       | 58.408 | 59.209  | 52.661   |
+----------------+--------+---------+----------+
| carrot         | 55.759 | 38.332  | 45.382   |
+----------------+--------+---------+----------+
| hot dog        | 61.334 | 61.756  | 58.777   |
+----------------+--------+---------+----------+
| pizza          | 53.179 | 56.064  | 43.513   |
+----------------+--------+---------+----------+
| donut          | 70.392 | 65.168  | 60.093   |
+----------------+--------+---------+----------+
| cake           | 52.339 | 46.953  | 40.149   |
+----------------+--------+---------+----------+
| chair          | 31.174 | 30.944  | 22.120   |
+----------------+--------+---------+----------+
| couch          | 51.925 | 45.728  | 38.331   |
+----------------+--------+---------+----------+
| potted plant   | 33.344 | 13.483  | 14.967   |
+----------------+--------+---------+----------+
| bed            | 54.338 | 53.323  | 51.662   |
+----------------+--------+---------+----------+
| dining table   | 28.925 | 29.602  | 25.500   |
+----------------+--------+---------+----------+
| toilet         | 62.894 | 62.470  | 62.710   |
+----------------+--------+---------+----------+
| tv             | 47.959 | 42.742  | 44.078   |
+----------------+--------+---------+----------+
| laptop         | 51.386 | 48.783  | 49.884   |
+----------------+--------+---------+----------+
| mouse          | 10.082 | 6.242   | 7.952    |
+----------------+--------+---------+----------+
| remote         | 33.817 | 29.736  | 47.247   |
+----------------+--------+---------+----------+
| keyboard       | 38.093 | 19.843  | 32.127   |
+----------------+--------+---------+----------+
| cell phone     | 36.494 | 17.189  | 50.195   |
+----------------+--------+---------+----------+
| microwave      | 33.856 | 18.916  | 47.561   |
+----------------+--------+---------+----------+
| oven           | 37.545 | 36.409  | 33.071   |
+----------------+--------+---------+----------+
| toaster        | 16.355 | 0.513   | 0        |
+----------------+--------+---------+----------+
| sink           | 23.147 | 16.748  | 19.109   |
+----------------+--------+---------+----------+
| refrigerator   | 51.867 | 48.997  | 49.519   |
+----------------+--------+---------+----------+
| book           | 39.905 | 36.955  | 32.431   |
+----------------+--------+---------+----------+
| clock          | 23.607 | 32.548  | 23.681   |
+----------------+--------+---------+----------+
| vase           | 27.969 | 29.837  | 27.371   |
+----------------+--------+---------+----------+
| scissors       | 31.141 | 45.879  | 40.717   |
+----------------+--------+---------+----------+
| teddy bear     | 67.947 | 65.042  | 65.665   |
+----------------+--------+---------+----------+
| hair drier     | 15.516 | 7.853   | 0        |
+----------------+--------+---------+----------+
| toothbrush     | 24.523 | 16.425  | 27.562   |
+----------------+--------+---------+----------+
| mIoU           | 39.837 | 38.570  | 38.326   |
+----------------+--------+---------+----------+
2022-11-03 13:29:00,526 - dist_train_coco_seg_neg2.py - INFO: Iter: 44200; Elasped: 15:12:58; ETA: 12:19:27; LR: 2.910e-05; cls_loss: 0.0498, cls_loss_aux: 0.0537, ptc_loss: 0.1422, ctc_loss: 0.5272, seg_loss: 0.4307...
2022-11-03 13:32:14,539 - dist_train_coco_seg_neg2.py - INFO: Iter: 44400; Elasped: 15:16:12; ETA: 12:14:36; LR: 2.895e-05; cls_loss: 0.0468, cls_loss_aux: 0.0529, ptc_loss: 0.1406, ctc_loss: 0.6301, seg_loss: 0.4214...
2022-11-03 13:35:28,637 - dist_train_coco_seg_neg2.py - INFO: Iter: 44600; Elasped: 15:19:26; ETA: 12:09:46; LR: 2.881e-05; cls_loss: 0.0449, cls_loss_aux: 0.0484, ptc_loss: 0.1331, ctc_loss: 0.5367, seg_loss: 0.4131...
2022-11-03 13:38:42,431 - dist_train_coco_seg_neg2.py - INFO: Iter: 44800; Elasped: 15:22:40; ETA: 12:04:57; LR: 2.866e-05; cls_loss: 0.0484, cls_loss_aux: 0.0526, ptc_loss: 0.1459, ctc_loss: 0.5664, seg_loss: 0.3579...
2022-11-03 13:41:56,544 - dist_train_coco_seg_neg2.py - INFO: Iter: 45000; Elasped: 15:25:54; ETA: 12:00:08; LR: 2.851e-05; cls_loss: 0.0484, cls_loss_aux: 0.0530, ptc_loss: 0.1541, ctc_loss: 0.5578, seg_loss: 0.3832...
2022-11-03 13:45:10,318 - dist_train_coco_seg_neg2.py - INFO: Iter: 45200; Elasped: 15:29:08; ETA: 11:55:21; LR: 2.837e-05; cls_loss: 0.0495, cls_loss_aux: 0.0531, ptc_loss: 0.1268, ctc_loss: 0.5521, seg_loss: 0.3984...
2022-11-03 13:48:24,139 - dist_train_coco_seg_neg2.py - INFO: Iter: 45400; Elasped: 15:32:22; ETA: 11:50:34; LR: 2.822e-05; cls_loss: 0.0513, cls_loss_aux: 0.0533, ptc_loss: 0.1327, ctc_loss: 0.5746, seg_loss: 0.4364...
2022-11-03 13:51:37,834 - dist_train_coco_seg_neg2.py - INFO: Iter: 45600; Elasped: 15:35:35; ETA: 11:45:47; LR: 2.807e-05; cls_loss: 0.0482, cls_loss_aux: 0.0521, ptc_loss: 0.1503, ctc_loss: 0.5738, seg_loss: 0.4460...
2022-11-03 13:54:51,338 - dist_train_coco_seg_neg2.py - INFO: Iter: 45800; Elasped: 15:38:49; ETA: 11:41:02; LR: 2.793e-05; cls_loss: 0.0511, cls_loss_aux: 0.0559, ptc_loss: 0.1252, ctc_loss: 0.5322, seg_loss: 0.4230...
2022-11-03 13:58:05,163 - dist_train_coco_seg_neg2.py - INFO: Iter: 46000; Elasped: 15:42:03; ETA: 11:36:17; LR: 2.778e-05; cls_loss: 0.0520, cls_loss_aux: 0.0565, ptc_loss: 0.1382, ctc_loss: 0.5155, seg_loss: 0.4287...
2022-11-03 14:01:19,019 - dist_train_coco_seg_neg2.py - INFO: Iter: 46200; Elasped: 15:45:17; ETA: 11:31:34; LR: 2.763e-05; cls_loss: 0.0487, cls_loss_aux: 0.0525, ptc_loss: 0.1471, ctc_loss: 0.5061, seg_loss: 0.3471...
2022-11-03 14:04:32,783 - dist_train_coco_seg_neg2.py - INFO: Iter: 46400; Elasped: 15:48:30; ETA: 11:26:50; LR: 2.748e-05; cls_loss: 0.0493, cls_loss_aux: 0.0534, ptc_loss: 0.1555, ctc_loss: 0.5057, seg_loss: 0.4332...
2022-11-03 14:07:46,327 - dist_train_coco_seg_neg2.py - INFO: Iter: 46600; Elasped: 15:51:44; ETA: 11:22:08; LR: 2.734e-05; cls_loss: 0.0459, cls_loss_aux: 0.0507, ptc_loss: 0.1521, ctc_loss: 0.5697, seg_loss: 0.3236...
2022-11-03 14:10:59,908 - dist_train_coco_seg_neg2.py - INFO: Iter: 46800; Elasped: 15:54:57; ETA: 11:17:26; LR: 2.719e-05; cls_loss: 0.0495, cls_loss_aux: 0.0540, ptc_loss: 0.1491, ctc_loss: 0.4959, seg_loss: 0.3783...
2022-11-03 14:14:13,627 - dist_train_coco_seg_neg2.py - INFO: Iter: 47000; Elasped: 15:58:11; ETA: 11:12:46; LR: 2.704e-05; cls_loss: 0.0503, cls_loss_aux: 0.0552, ptc_loss: 0.1482, ctc_loss: 0.5281, seg_loss: 0.4089...
2022-11-03 14:17:27,559 - dist_train_coco_seg_neg2.py - INFO: Iter: 47200; Elasped: 16:01:25; ETA: 11:08:06; LR: 2.689e-05; cls_loss: 0.0512, cls_loss_aux: 0.0550, ptc_loss: 0.1517, ctc_loss: 0.5044, seg_loss: 0.3847...
2022-11-03 14:20:41,180 - dist_train_coco_seg_neg2.py - INFO: Iter: 47400; Elasped: 16:04:39; ETA: 11:03:27; LR: 2.675e-05; cls_loss: 0.0469, cls_loss_aux: 0.0497, ptc_loss: 0.1437, ctc_loss: 0.6017, seg_loss: 0.3651...
2022-11-03 14:23:54,766 - dist_train_coco_seg_neg2.py - INFO: Iter: 47600; Elasped: 16:07:52; ETA: 10:58:48; LR: 2.660e-05; cls_loss: 0.0452, cls_loss_aux: 0.0494, ptc_loss: 0.1248, ctc_loss: 0.4992, seg_loss: 0.3488...
2022-11-03 14:27:08,329 - dist_train_coco_seg_neg2.py - INFO: Iter: 47800; Elasped: 16:11:06; ETA: 10:54:10; LR: 2.645e-05; cls_loss: 0.0459, cls_loss_aux: 0.0511, ptc_loss: 0.1343, ctc_loss: 0.5342, seg_loss: 0.3763...
2022-11-03 14:30:21,744 - dist_train_coco_seg_neg2.py - INFO: Iter: 48000; Elasped: 16:14:19; ETA: 10:49:32; LR: 2.630e-05; cls_loss: 0.0470, cls_loss_aux: 0.0516, ptc_loss: 0.1303, ctc_loss: 0.5636, seg_loss: 0.3325...
2022-11-03 14:30:21,746 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 14:48:10,783 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.803110
2022-11-03 14:48:10,786 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 70.711 | 63.495  | 71.534   |
+----------------+--------+---------+----------+
| person         | 36.976 | 32.224  | 36.119   |
+----------------+--------+---------+----------+
| bicycle        | 41.242 | 39.990  | 42.372   |
+----------------+--------+---------+----------+
| car            | 35.019 | 36.533  | 35.591   |
+----------------+--------+---------+----------+
| motorcycle     | 61.858 | 57.749  | 61.705   |
+----------------+--------+---------+----------+
| airplane       | 66.854 | 65.152  | 66.228   |
+----------------+--------+---------+----------+
| bus            | 44.312 | 40.583  | 44.563   |
+----------------+--------+---------+----------+
| train          | 51.224 | 44.251  | 48.708   |
+----------------+--------+---------+----------+
| truck          | 38.599 | 38.098  | 36.498   |
+----------------+--------+---------+----------+
| boat           | 47.293 | 40.024  | 44.303   |
+----------------+--------+---------+----------+
| traffic light  | 16.094 | 13.743  | 28.437   |
+----------------+--------+---------+----------+
| fire hydrant   | 51.052 | 38.502  | 65.416   |
+----------------+--------+---------+----------+
| stop sign      | 51.056 | 25.807  | 62.997   |
+----------------+--------+---------+----------+
| parking meter  | 56.673 | 49.630  | 64.321   |
+----------------+--------+---------+----------+
| bench          | 34.659 | 46.139  | 36.054   |
+----------------+--------+---------+----------+
| bird           | 50.705 | 60.906  | 54.876   |
+----------------+--------+---------+----------+
| cat            | 78.142 | 73.981  | 71.431   |
+----------------+--------+---------+----------+
| dog            | 66.188 | 64.037  | 59.741   |
+----------------+--------+---------+----------+
| horse          | 65.412 | 51.729  | 62.612   |
+----------------+--------+---------+----------+
| sheep          | 71.979 | 59.716  | 61.680   |
+----------------+--------+---------+----------+
| cow            | 74.373 | 61.224  | 62.155   |
+----------------+--------+---------+----------+
| elephant       | 71.549 | 72.108  | 77.647   |
+----------------+--------+---------+----------+
| bear           | 78.458 | 75.753  | 80.259   |
+----------------+--------+---------+----------+
| zebra          | 79.172 | 75.814  | 79.547   |
+----------------+--------+---------+----------+
| giraffe        | 73.534 | 73.031  | 71.178   |
+----------------+--------+---------+----------+
| backpack       | 15.550 | 24.955  | 14.428   |
+----------------+--------+---------+----------+
| umbrella       | 61.113 | 68.632  | 60.354   |
+----------------+--------+---------+----------+
| handbag        | 12.778 | 14.012  | 5.207    |
+----------------+--------+---------+----------+
| tie            | 17.060 | 30.505  | 21.139   |
+----------------+--------+---------+----------+
| suitcase       | 56.252 | 55.298  | 53.243   |
+----------------+--------+---------+----------+
| frisbee        | 13.436 | 10.675  | 7.890    |
+----------------+--------+---------+----------+
| skis           | 4.680  | 5.367   | 3.243    |
+----------------+--------+---------+----------+
| snowboard      | 10.555 | 25.459  | 15.108   |
+----------------+--------+---------+----------+
| sports ball    | 2.920  | 4.245   | 4.716    |
+----------------+--------+---------+----------+
| kite           | 34.014 | 40.630  | 26.369   |
+----------------+--------+---------+----------+
| baseball bat   | 1.402  | 2.315   | 0.549    |
+----------------+--------+---------+----------+
| baseball glove | 4.969  | 7.950   | 6.244    |
+----------------+--------+---------+----------+
| skateboard     | 9.485  | 11.713  | 7.829    |
+----------------+--------+---------+----------+
| surfboard      | 12.404 | 10.657  | 11.541   |
+----------------+--------+---------+----------+
| tennis racket  | 3.468  | 3.078   | 2.599    |
+----------------+--------+---------+----------+
| bottle         | 24.527 | 12.362  | 24.494   |
+----------------+--------+---------+----------+
| wine glass     | 30.329 | 25.139  | 19.784   |
+----------------+--------+---------+----------+
| cup            | 29.001 | 20.422  | 26.634   |
+----------------+--------+---------+----------+
| fork           | 7.430  | 5.251   | 7.397    |
+----------------+--------+---------+----------+
| knife          | 7.926  | 12.448  | 6.595    |
+----------------+--------+---------+----------+
| spoon          | 5.417  | 15.791  | 3.815    |
+----------------+--------+---------+----------+
| bowl           | 21.668 | 19.199  | 20.458   |
+----------------+--------+---------+----------+
| banana         | 72.476 | 67.338  | 68.155   |
+----------------+--------+---------+----------+
| apple          | 54.644 | 58.445  | 55.331   |
+----------------+--------+---------+----------+
| sandwich       | 53.026 | 49.301  | 41.823   |
+----------------+--------+---------+----------+
| orange         | 72.248 | 70.672  | 66.735   |
+----------------+--------+---------+----------+
| broccoli       | 60.360 | 62.516  | 60.547   |
+----------------+--------+---------+----------+
| carrot         | 52.981 | 55.344  | 43.649   |
+----------------+--------+---------+----------+
| hot dog        | 60.926 | 49.240  | 56.586   |
+----------------+--------+---------+----------+
| pizza          | 69.970 | 65.090  | 63.021   |
+----------------+--------+---------+----------+
| donut          | 72.219 | 67.295  | 57.825   |
+----------------+--------+---------+----------+
| cake           | 54.279 | 50.369  | 41.787   |
+----------------+--------+---------+----------+
| chair          | 30.746 | 28.760  | 21.582   |
+----------------+--------+---------+----------+
| couch          | 53.503 | 47.889  | 43.301   |
+----------------+--------+---------+----------+
| potted plant   | 37.112 | 37.898  | 22.129   |
+----------------+--------+---------+----------+
| bed            | 53.663 | 43.984  | 49.569   |
+----------------+--------+---------+----------+
| dining table   | 28.539 | 32.742  | 22.628   |
+----------------+--------+---------+----------+
| toilet         | 63.032 | 64.582  | 62.715   |
+----------------+--------+---------+----------+
| tv             | 50.718 | 42.282  | 45.875   |
+----------------+--------+---------+----------+
| laptop         | 54.696 | 48.869  | 50.293   |
+----------------+--------+---------+----------+
| mouse          | 10.496 | 7.673   | 7.963    |
+----------------+--------+---------+----------+
| remote         | 32.434 | 21.742  | 33.028   |
+----------------+--------+---------+----------+
| keyboard       | 39.849 | 21.429  | 39.444   |
+----------------+--------+---------+----------+
| cell phone     | 31.737 | 17.764  | 52.552   |
+----------------+--------+---------+----------+
| microwave      | 36.267 | 40.226  | 40.177   |
+----------------+--------+---------+----------+
| oven           | 36.905 | 35.644  | 30.606   |
+----------------+--------+---------+----------+
| toaster        | 12.820 | 13.260  | 0        |
+----------------+--------+---------+----------+
| sink           | 19.721 | 15.052  | 16.365   |
+----------------+--------+---------+----------+
| refrigerator   | 53.691 | 44.618  | 50.206   |
+----------------+--------+---------+----------+
| book           | 35.083 | 27.904  | 30.942   |
+----------------+--------+---------+----------+
| clock          | 28.486 | 18.625  | 31.255   |
+----------------+--------+---------+----------+
| vase           | 28.638 | 34.355  | 31.131   |
+----------------+--------+---------+----------+
| scissors       | 36.391 | 23.870  | 49.046   |
+----------------+--------+---------+----------+
| teddy bear     | 69.475 | 65.059  | 68.064   |
+----------------+--------+---------+----------+
| hair drier     | 15.774 | 10.058  | 0        |
+----------------+--------+---------+----------+
| toothbrush     | 23.330 | 8.504   | 29.531   |
+----------------+--------+---------+----------+
| mIoU           | 40.812 | 37.960  | 39.006   |
+----------------+--------+---------+----------+
2022-11-03 14:51:24,847 - dist_train_coco_seg_neg2.py - INFO: Iter: 48200; Elasped: 16:35:22; ETA: 10:56:41; LR: 2.616e-05; cls_loss: 0.0459, cls_loss_aux: 0.0506, ptc_loss: 0.1364, ctc_loss: 0.4647, seg_loss: 0.3976...
2022-11-03 14:54:38,750 - dist_train_coco_seg_neg2.py - INFO: Iter: 48400; Elasped: 16:38:36; ETA: 10:51:58; LR: 2.601e-05; cls_loss: 0.0475, cls_loss_aux: 0.0505, ptc_loss: 0.1421, ctc_loss: 0.5018, seg_loss: 0.3686...
2022-11-03 14:57:52,314 - dist_train_coco_seg_neg2.py - INFO: Iter: 48600; Elasped: 16:41:50; ETA: 10:47:16; LR: 2.586e-05; cls_loss: 0.0502, cls_loss_aux: 0.0544, ptc_loss: 0.1391, ctc_loss: 0.5457, seg_loss: 0.3917...
2022-11-03 15:01:05,993 - dist_train_coco_seg_neg2.py - INFO: Iter: 48800; Elasped: 16:45:03; ETA: 10:42:34; LR: 2.571e-05; cls_loss: 0.0511, cls_loss_aux: 0.0548, ptc_loss: 0.1387, ctc_loss: 0.5249, seg_loss: 0.4035...
2022-11-03 15:04:19,877 - dist_train_coco_seg_neg2.py - INFO: Iter: 49000; Elasped: 16:48:17; ETA: 10:37:53; LR: 2.556e-05; cls_loss: 0.0482, cls_loss_aux: 0.0523, ptc_loss: 0.1466, ctc_loss: 0.5584, seg_loss: 0.3707...
2022-11-03 15:07:33,528 - dist_train_coco_seg_neg2.py - INFO: Iter: 49200; Elasped: 16:51:31; ETA: 10:33:13; LR: 2.541e-05; cls_loss: 0.0484, cls_loss_aux: 0.0525, ptc_loss: 0.1386, ctc_loss: 0.6464, seg_loss: 0.4568...
2022-11-03 15:10:47,429 - dist_train_coco_seg_neg2.py - INFO: Iter: 49400; Elasped: 16:54:45; ETA: 10:28:34; LR: 2.527e-05; cls_loss: 0.0502, cls_loss_aux: 0.0538, ptc_loss: 0.1302, ctc_loss: 0.5519, seg_loss: 0.4057...
2022-11-03 15:14:01,105 - dist_train_coco_seg_neg2.py - INFO: Iter: 49600; Elasped: 16:57:59; ETA: 10:23:55; LR: 2.512e-05; cls_loss: 0.0449, cls_loss_aux: 0.0481, ptc_loss: 0.1296, ctc_loss: 0.5701, seg_loss: 0.3750...
2022-11-03 15:17:14,952 - dist_train_coco_seg_neg2.py - INFO: Iter: 49800; Elasped: 17:01:12; ETA: 10:19:16; LR: 2.497e-05; cls_loss: 0.0524, cls_loss_aux: 0.0549, ptc_loss: 0.1342, ctc_loss: 0.6303, seg_loss: 0.4032...
2022-11-03 15:20:28,799 - dist_train_coco_seg_neg2.py - INFO: Iter: 50000; Elasped: 17:04:26; ETA: 10:14:39; LR: 2.482e-05; cls_loss: 0.0531, cls_loss_aux: 0.0579, ptc_loss: 0.1408, ctc_loss: 0.5233, seg_loss: 0.4411...
2022-11-03 15:23:42,506 - dist_train_coco_seg_neg2.py - INFO: Iter: 50200; Elasped: 17:07:40; ETA: 10:10:02; LR: 2.467e-05; cls_loss: 0.0455, cls_loss_aux: 0.0498, ptc_loss: 0.1376, ctc_loss: 0.5843, seg_loss: 0.3728...
2022-11-03 15:26:55,989 - dist_train_coco_seg_neg2.py - INFO: Iter: 50400; Elasped: 17:10:53; ETA: 10:05:26; LR: 2.452e-05; cls_loss: 0.0473, cls_loss_aux: 0.0521, ptc_loss: 0.1353, ctc_loss: 0.5492, seg_loss: 0.3862...
2022-11-03 15:30:09,505 - dist_train_coco_seg_neg2.py - INFO: Iter: 50600; Elasped: 17:14:07; ETA: 10:00:51; LR: 2.437e-05; cls_loss: 0.0442, cls_loss_aux: 0.0479, ptc_loss: 0.1397, ctc_loss: 0.6485, seg_loss: 0.4030...
2022-11-03 15:33:23,078 - dist_train_coco_seg_neg2.py - INFO: Iter: 50800; Elasped: 17:17:21; ETA: 9:56:16; LR: 2.422e-05; cls_loss: 0.0466, cls_loss_aux: 0.0505, ptc_loss: 0.1398, ctc_loss: 0.5378, seg_loss: 0.4143...
2022-11-03 15:36:36,875 - dist_train_coco_seg_neg2.py - INFO: Iter: 51000; Elasped: 17:20:34; ETA: 9:51:41; LR: 2.407e-05; cls_loss: 0.0518, cls_loss_aux: 0.0554, ptc_loss: 0.1413, ctc_loss: 0.4914, seg_loss: 0.4270...
2022-11-03 15:39:50,531 - dist_train_coco_seg_neg2.py - INFO: Iter: 51200; Elasped: 17:23:48; ETA: 9:47:08; LR: 2.392e-05; cls_loss: 0.0461, cls_loss_aux: 0.0507, ptc_loss: 0.1332, ctc_loss: 0.4881, seg_loss: 0.3991...
2022-11-03 15:43:08,678 - dist_train_coco_seg_neg2.py - INFO: Iter: 51400; Elasped: 17:27:06; ETA: 9:42:37; LR: 2.377e-05; cls_loss: 0.0464, cls_loss_aux: 0.0500, ptc_loss: 0.1444, ctc_loss: 0.5470, seg_loss: 0.3790...
2022-11-03 15:46:22,624 - dist_train_coco_seg_neg2.py - INFO: Iter: 51600; Elasped: 17:30:20; ETA: 9:38:05; LR: 2.362e-05; cls_loss: 0.0502, cls_loss_aux: 0.0525, ptc_loss: 0.1320, ctc_loss: 0.5262, seg_loss: 0.4245...
2022-11-03 15:49:36,715 - dist_train_coco_seg_neg2.py - INFO: Iter: 51800; Elasped: 17:33:34; ETA: 9:33:33; LR: 2.348e-05; cls_loss: 0.0462, cls_loss_aux: 0.0489, ptc_loss: 0.1400, ctc_loss: 0.5749, seg_loss: 0.3741...
2022-11-03 15:52:50,808 - dist_train_coco_seg_neg2.py - INFO: Iter: 52000; Elasped: 17:36:48; ETA: 9:29:02; LR: 2.333e-05; cls_loss: 0.0462, cls_loss_aux: 0.0488, ptc_loss: 0.1326, ctc_loss: 0.5092, seg_loss: 0.4020...
2022-11-03 15:52:50,811 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 16:10:37,490 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.812408
2022-11-03 16:10:37,491 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 69.768 | 65.235  | 70.236   |
+----------------+--------+---------+----------+
| person         | 37.630 | 35.394  | 36.452   |
+----------------+--------+---------+----------+
| bicycle        | 43.887 | 26.902  | 40.552   |
+----------------+--------+---------+----------+
| car            | 31.636 | 23.187  | 32.903   |
+----------------+--------+---------+----------+
| motorcycle     | 55.908 | 54.564  | 55.634   |
+----------------+--------+---------+----------+
| airplane       | 63.969 | 63.897  | 62.474   |
+----------------+--------+---------+----------+
| bus            | 38.957 | 40.383  | 34.217   |
+----------------+--------+---------+----------+
| train          | 48.969 | 48.357  | 46.547   |
+----------------+--------+---------+----------+
| truck          | 36.353 | 38.100  | 33.368   |
+----------------+--------+---------+----------+
| boat           | 45.319 | 40.852  | 42.297   |
+----------------+--------+---------+----------+
| traffic light  | 19.762 | 28.950  | 43.059   |
+----------------+--------+---------+----------+
| fire hydrant   | 51.284 | 45.801  | 58.824   |
+----------------+--------+---------+----------+
| stop sign      | 52.355 | 67.283  | 69.631   |
+----------------+--------+---------+----------+
| parking meter  | 58.399 | 47.014  | 66.396   |
+----------------+--------+---------+----------+
| bench          | 39.367 | 42.518  | 40.675   |
+----------------+--------+---------+----------+
| bird           | 49.223 | 35.205  | 55.192   |
+----------------+--------+---------+----------+
| cat            | 80.132 | 77.349  | 72.592   |
+----------------+--------+---------+----------+
| dog            | 68.866 | 66.804  | 65.319   |
+----------------+--------+---------+----------+
| horse          | 64.802 | 52.558  | 60.524   |
+----------------+--------+---------+----------+
| sheep          | 68.351 | 56.209  | 67.788   |
+----------------+--------+---------+----------+
| cow            | 73.838 | 58.751  | 67.146   |
+----------------+--------+---------+----------+
| elephant       | 73.737 | 66.969  | 76.966   |
+----------------+--------+---------+----------+
| bear           | 75.679 | 72.507  | 76.678   |
+----------------+--------+---------+----------+
| zebra          | 78.665 | 77.471  | 78.246   |
+----------------+--------+---------+----------+
| giraffe        | 71.795 | 71.365  | 67.846   |
+----------------+--------+---------+----------+
| backpack       | 18.244 | 28.100  | 16.105   |
+----------------+--------+---------+----------+
| umbrella       | 66.893 | 71.320  | 65.417   |
+----------------+--------+---------+----------+
| handbag        | 14.182 | 17.053  | 6.257    |
+----------------+--------+---------+----------+
| tie            | 18.901 | 29.743  | 22.420   |
+----------------+--------+---------+----------+
| suitcase       | 56.304 | 57.808  | 54.864   |
+----------------+--------+---------+----------+
| frisbee        | 14.351 | 12.435  | 12.497   |
+----------------+--------+---------+----------+
| skis           | 5.350  | 4.062   | 4.737    |
+----------------+--------+---------+----------+
| snowboard      | 13.084 | 12.234  | 15.289   |
+----------------+--------+---------+----------+
| sports ball    | 3.032  | 3.863   | 2.610    |
+----------------+--------+---------+----------+
| kite           | 37.545 | 38.827  | 29.709   |
+----------------+--------+---------+----------+
| baseball bat   | 1.066  | 1.456   | 0.479    |
+----------------+--------+---------+----------+
| baseball glove | 4.895  | 7.255   | 8.416    |
+----------------+--------+---------+----------+
| skateboard     | 9.530  | 12.891  | 8.229    |
+----------------+--------+---------+----------+
| surfboard      | 11.302 | 7.258   | 9.935    |
+----------------+--------+---------+----------+
| tennis racket  | 3.980  | 4.224   | 3.333    |
+----------------+--------+---------+----------+
| bottle         | 24.647 | 28.859  | 18.868   |
+----------------+--------+---------+----------+
| wine glass     | 31.836 | 26.637  | 22.834   |
+----------------+--------+---------+----------+
| cup            | 23.544 | 14.646  | 21.808   |
+----------------+--------+---------+----------+
| fork           | 7.632  | 11.236  | 9.411    |
+----------------+--------+---------+----------+
| knife          | 7.288  | 24.317  | 11.439   |
+----------------+--------+---------+----------+
| spoon          | 4.613  | 3.792   | 2.155    |
+----------------+--------+---------+----------+
| bowl           | 18.313 | 19.600  | 12.788   |
+----------------+--------+---------+----------+
| banana         | 72.805 | 69.004  | 68.809   |
+----------------+--------+---------+----------+
| apple          | 54.466 | 52.191  | 51.904   |
+----------------+--------+---------+----------+
| sandwich       | 52.373 | 33.709  | 39.678   |
+----------------+--------+---------+----------+
| orange         | 65.641 | 54.049  | 65.928   |
+----------------+--------+---------+----------+
| broccoli       | 61.524 | 62.394  | 61.657   |
+----------------+--------+---------+----------+
| carrot         | 53.045 | 54.598  | 46.264   |
+----------------+--------+---------+----------+
| hot dog        | 60.435 | 56.594  | 57.495   |
+----------------+--------+---------+----------+
| pizza          | 67.667 | 62.266  | 60.705   |
+----------------+--------+---------+----------+
| donut          | 67.155 | 61.002  | 62.259   |
+----------------+--------+---------+----------+
| cake           | 49.085 | 41.800  | 44.797   |
+----------------+--------+---------+----------+
| chair          | 29.044 | 22.545  | 19.124   |
+----------------+--------+---------+----------+
| couch          | 51.608 | 48.305  | 43.198   |
+----------------+--------+---------+----------+
| potted plant   | 38.005 | 40.988  | 20.360   |
+----------------+--------+---------+----------+
| bed            | 55.697 | 39.159  | 53.001   |
+----------------+--------+---------+----------+
| dining table   | 28.355 | 30.264  | 23.562   |
+----------------+--------+---------+----------+
| toilet         | 62.656 | 56.805  | 56.824   |
+----------------+--------+---------+----------+
| tv             | 48.560 | 49.661  | 46.868   |
+----------------+--------+---------+----------+
| laptop         | 49.608 | 49.608  | 42.933   |
+----------------+--------+---------+----------+
| mouse          | 8.812  | 10.049  | 4.755    |
+----------------+--------+---------+----------+
| remote         | 34.418 | 48.431  | 52.620   |
+----------------+--------+---------+----------+
| keyboard       | 38.581 | 27.444  | 34.993   |
+----------------+--------+---------+----------+
| cell phone     | 30.382 | 38.429  | 48.771   |
+----------------+--------+---------+----------+
| microwave      | 38.873 | 29.361  | 56.345   |
+----------------+--------+---------+----------+
| oven           | 36.986 | 36.711  | 35.982   |
+----------------+--------+---------+----------+
| toaster        | 15.401 | 12.294  | 0        |
+----------------+--------+---------+----------+
| sink           | 19.834 | 15.435  | 17.108   |
+----------------+--------+---------+----------+
| refrigerator   | 55.083 | 50.358  | 49.422   |
+----------------+--------+---------+----------+
| book           | 31.660 | 33.120  | 23.567   |
+----------------+--------+---------+----------+
| clock          | 29.730 | 32.998  | 30.504   |
+----------------+--------+---------+----------+
| vase           | 31.026 | 34.423  | 29.321   |
+----------------+--------+---------+----------+
| scissors       | 26.940 | 33.118  | 39.862   |
+----------------+--------+---------+----------+
| teddy bear     | 69.142 | 68.694  | 68.314   |
+----------------+--------+---------+----------+
| hair drier     | 11.669 | 23.617  | 0        |
+----------------+--------+---------+----------+
| toothbrush     | 23.005 | 17.237  | 29.344   |
+----------------+--------+---------+----------+
| mIoU           | 40.302 | 38.739  | 39.104   |
+----------------+--------+---------+----------+
2022-11-03 16:13:51,820 - dist_train_coco_seg_neg2.py - INFO: Iter: 52200; Elasped: 17:57:49; ETA: 9:34:00; LR: 2.318e-05; cls_loss: 0.0425, cls_loss_aux: 0.0466, ptc_loss: 0.1379, ctc_loss: 0.5573, seg_loss: 0.3581...
2022-11-03 16:17:05,464 - dist_train_coco_seg_neg2.py - INFO: Iter: 52400; Elasped: 18:01:03; ETA: 9:29:24; LR: 2.303e-05; cls_loss: 0.0467, cls_loss_aux: 0.0487, ptc_loss: 0.1352, ctc_loss: 0.5239, seg_loss: 0.3902...
2022-11-03 16:20:19,456 - dist_train_coco_seg_neg2.py - INFO: Iter: 52600; Elasped: 18:04:17; ETA: 9:24:49; LR: 2.287e-05; cls_loss: 0.0451, cls_loss_aux: 0.0474, ptc_loss: 0.1408, ctc_loss: 0.5875, seg_loss: 0.3797...
2022-11-03 16:23:33,277 - dist_train_coco_seg_neg2.py - INFO: Iter: 52800; Elasped: 18:07:31; ETA: 9:20:14; LR: 2.272e-05; cls_loss: 0.0454, cls_loss_aux: 0.0484, ptc_loss: 0.1326, ctc_loss: 0.5536, seg_loss: 0.4038...
2022-11-03 16:26:46,959 - dist_train_coco_seg_neg2.py - INFO: Iter: 53000; Elasped: 18:10:44; ETA: 9:15:39; LR: 2.257e-05; cls_loss: 0.0487, cls_loss_aux: 0.0511, ptc_loss: 0.1322, ctc_loss: 0.5763, seg_loss: 0.3488...
2022-11-03 16:30:00,923 - dist_train_coco_seg_neg2.py - INFO: Iter: 53200; Elasped: 18:13:58; ETA: 9:11:05; LR: 2.242e-05; cls_loss: 0.0422, cls_loss_aux: 0.0444, ptc_loss: 0.1292, ctc_loss: 0.5953, seg_loss: 0.3128...
2022-11-03 16:33:14,621 - dist_train_coco_seg_neg2.py - INFO: Iter: 53400; Elasped: 18:17:12; ETA: 9:06:32; LR: 2.227e-05; cls_loss: 0.0500, cls_loss_aux: 0.0531, ptc_loss: 0.1286, ctc_loss: 0.5551, seg_loss: 0.3347...
2022-11-03 16:36:28,261 - dist_train_coco_seg_neg2.py - INFO: Iter: 53600; Elasped: 18:20:26; ETA: 9:02:00; LR: 2.212e-05; cls_loss: 0.0448, cls_loss_aux: 0.0491, ptc_loss: 0.1282, ctc_loss: 0.5582, seg_loss: 0.3529...
2022-11-03 16:39:41,958 - dist_train_coco_seg_neg2.py - INFO: Iter: 53800; Elasped: 18:23:39; ETA: 8:57:27; LR: 2.197e-05; cls_loss: 0.0480, cls_loss_aux: 0.0518, ptc_loss: 0.1443, ctc_loss: 0.5540, seg_loss: 0.3646...
2022-11-03 16:42:55,452 - dist_train_coco_seg_neg2.py - INFO: Iter: 54000; Elasped: 18:26:53; ETA: 8:52:56; LR: 2.182e-05; cls_loss: 0.0435, cls_loss_aux: 0.0464, ptc_loss: 0.1483, ctc_loss: 0.5337, seg_loss: 0.3257...
2022-11-03 16:46:09,076 - dist_train_coco_seg_neg2.py - INFO: Iter: 54200; Elasped: 18:30:07; ETA: 8:48:25; LR: 2.167e-05; cls_loss: 0.0467, cls_loss_aux: 0.0493, ptc_loss: 0.1509, ctc_loss: 0.4929, seg_loss: 0.3804...
2022-11-03 16:49:22,538 - dist_train_coco_seg_neg2.py - INFO: Iter: 54400; Elasped: 18:33:20; ETA: 8:43:55; LR: 2.152e-05; cls_loss: 0.0481, cls_loss_aux: 0.0518, ptc_loss: 0.1478, ctc_loss: 0.4384, seg_loss: 0.3928...
2022-11-03 16:52:35,930 - dist_train_coco_seg_neg2.py - INFO: Iter: 54600; Elasped: 18:36:33; ETA: 8:39:25; LR: 2.137e-05; cls_loss: 0.0424, cls_loss_aux: 0.0459, ptc_loss: 0.1335, ctc_loss: 0.5842, seg_loss: 0.3982...
2022-11-03 16:55:49,396 - dist_train_coco_seg_neg2.py - INFO: Iter: 54800; Elasped: 18:39:47; ETA: 8:34:56; LR: 2.122e-05; cls_loss: 0.0464, cls_loss_aux: 0.0500, ptc_loss: 0.1286, ctc_loss: 0.5265, seg_loss: 0.3531...
2022-11-03 16:59:03,365 - dist_train_coco_seg_neg2.py - INFO: Iter: 55000; Elasped: 18:43:01; ETA: 8:30:27; LR: 2.106e-05; cls_loss: 0.0509, cls_loss_aux: 0.0531, ptc_loss: 0.1420, ctc_loss: 0.4966, seg_loss: 0.3811...
2022-11-03 17:02:17,332 - dist_train_coco_seg_neg2.py - INFO: Iter: 55200; Elasped: 18:46:15; ETA: 8:25:59; LR: 2.091e-05; cls_loss: 0.0509, cls_loss_aux: 0.0554, ptc_loss: 0.1372, ctc_loss: 0.4716, seg_loss: 0.3625...
2022-11-03 17:05:30,836 - dist_train_coco_seg_neg2.py - INFO: Iter: 55400; Elasped: 18:49:28; ETA: 8:21:31; LR: 2.076e-05; cls_loss: 0.0467, cls_loss_aux: 0.0498, ptc_loss: 0.1502, ctc_loss: 0.4688, seg_loss: 0.3530...
2022-11-03 17:08:44,808 - dist_train_coco_seg_neg2.py - INFO: Iter: 55600; Elasped: 18:52:42; ETA: 8:17:05; LR: 2.061e-05; cls_loss: 0.0446, cls_loss_aux: 0.0473, ptc_loss: 0.1344, ctc_loss: 0.5082, seg_loss: 0.3549...
2022-11-03 17:11:58,486 - dist_train_coco_seg_neg2.py - INFO: Iter: 55800; Elasped: 18:55:56; ETA: 8:12:38; LR: 2.046e-05; cls_loss: 0.0470, cls_loss_aux: 0.0501, ptc_loss: 0.1255, ctc_loss: 0.5170, seg_loss: 0.3578...
2022-11-03 17:15:11,890 - dist_train_coco_seg_neg2.py - INFO: Iter: 56000; Elasped: 18:59:09; ETA: 8:08:12; LR: 2.030e-05; cls_loss: 0.0485, cls_loss_aux: 0.0520, ptc_loss: 0.1534, ctc_loss: 0.5017, seg_loss: 0.3888...
2022-11-03 17:15:11,892 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 17:32:58,622 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.813969
2022-11-03 17:32:58,623 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 67.214 | 62.854  | 67.290   |
+----------------+--------+---------+----------+
| person         | 32.644 | 31.282  | 32.322   |
+----------------+--------+---------+----------+
| bicycle        | 40.412 | 34.003  | 36.852   |
+----------------+--------+---------+----------+
| car            | 37.310 | 36.433  | 36.274   |
+----------------+--------+---------+----------+
| motorcycle     | 57.772 | 51.320  | 57.094   |
+----------------+--------+---------+----------+
| airplane       | 62.689 | 61.251  | 60.942   |
+----------------+--------+---------+----------+
| bus            | 43.446 | 40.539  | 42.776   |
+----------------+--------+---------+----------+
| train          | 51.135 | 48.014  | 48.217   |
+----------------+--------+---------+----------+
| truck          | 39.247 | 39.607  | 37.084   |
+----------------+--------+---------+----------+
| boat           | 48.300 | 42.275  | 45.124   |
+----------------+--------+---------+----------+
| traffic light  | 18.173 | 13.740  | 39.175   |
+----------------+--------+---------+----------+
| fire hydrant   | 55.225 | 39.630  | 68.507   |
+----------------+--------+---------+----------+
| stop sign      | 55.535 | 21.688  | 68.661   |
+----------------+--------+---------+----------+
| parking meter  | 62.826 | 66.537  | 62.422   |
+----------------+--------+---------+----------+
| bench          | 41.644 | 31.571  | 44.282   |
+----------------+--------+---------+----------+
| bird           | 51.714 | 59.991  | 57.209   |
+----------------+--------+---------+----------+
| cat            | 77.830 | 73.116  | 72.619   |
+----------------+--------+---------+----------+
| dog            | 69.727 | 59.209  | 62.874   |
+----------------+--------+---------+----------+
| horse          | 66.599 | 62.183  | 63.323   |
+----------------+--------+---------+----------+
| sheep          | 71.696 | 43.419  | 71.778   |
+----------------+--------+---------+----------+
| cow            | 73.578 | 52.522  | 65.978   |
+----------------+--------+---------+----------+
| elephant       | 77.360 | 71.367  | 79.125   |
+----------------+--------+---------+----------+
| bear           | 78.521 | 70.441  | 79.410   |
+----------------+--------+---------+----------+
| zebra          | 79.419 | 74.291  | 79.120   |
+----------------+--------+---------+----------+
| giraffe        | 73.240 | 72.382  | 68.238   |
+----------------+--------+---------+----------+
| backpack       | 20.768 | 22.741  | 19.103   |
+----------------+--------+---------+----------+
| umbrella       | 67.635 | 68.743  | 66.525   |
+----------------+--------+---------+----------+
| handbag        | 14.447 | 16.396  | 7.503    |
+----------------+--------+---------+----------+
| tie            | 24.039 | 19.609  | 32.993   |
+----------------+--------+---------+----------+
| suitcase       | 55.089 | 55.906  | 54.269   |
+----------------+--------+---------+----------+
| frisbee        | 21.772 | 12.488  | 19.075   |
+----------------+--------+---------+----------+
| skis           | 5.466  | 3.993   | 4.895    |
+----------------+--------+---------+----------+
| snowboard      | 13.452 | 16.877  | 17.792   |
+----------------+--------+---------+----------+
| sports ball    | 6.494  | 5.628   | 8.648    |
+----------------+--------+---------+----------+
| kite           | 38.927 | 32.696  | 34.070   |
+----------------+--------+---------+----------+
| baseball bat   | 1.784  | 1.729   | 1.077    |
+----------------+--------+---------+----------+
| baseball glove | 9.309  | 19.870  | 21.227   |
+----------------+--------+---------+----------+
| skateboard     | 12.706 | 11.340  | 10.371   |
+----------------+--------+---------+----------+
| surfboard      | 11.104 | 7.249   | 9.698    |
+----------------+--------+---------+----------+
| tennis racket  | 5.962  | 4.496   | 4.643    |
+----------------+--------+---------+----------+
| bottle         | 26.687 | 29.436  | 22.222   |
+----------------+--------+---------+----------+
| wine glass     | 34.163 | 37.667  | 23.058   |
+----------------+--------+---------+----------+
| cup            | 26.528 | 26.329  | 21.794   |
+----------------+--------+---------+----------+
| fork           | 7.501  | 10.131  | 6.429    |
+----------------+--------+---------+----------+
| knife          | 8.068  | 11.686  | 11.040   |
+----------------+--------+---------+----------+
| spoon          | 5.271  | 4.256   | 2.857    |
+----------------+--------+---------+----------+
| bowl           | 21.144 | 22.385  | 16.327   |
+----------------+--------+---------+----------+
| banana         | 70.699 | 71.774  | 68.240   |
+----------------+--------+---------+----------+
| apple          | 54.884 | 41.233  | 51.283   |
+----------------+--------+---------+----------+
| sandwich       | 47.835 | 40.531  | 43.502   |
+----------------+--------+---------+----------+
| orange         | 69.960 | 57.855  | 65.024   |
+----------------+--------+---------+----------+
| broccoli       | 59.881 | 56.026  | 55.181   |
+----------------+--------+---------+----------+
| carrot         | 53.486 | 57.414  | 43.216   |
+----------------+--------+---------+----------+
| hot dog        | 59.423 | 52.545  | 62.954   |
+----------------+--------+---------+----------+
| pizza          | 66.433 | 60.062  | 58.188   |
+----------------+--------+---------+----------+
| donut          | 71.935 | 67.299  | 57.583   |
+----------------+--------+---------+----------+
| cake           | 54.839 | 48.090  | 45.838   |
+----------------+--------+---------+----------+
| chair          | 31.040 | 25.665  | 22.188   |
+----------------+--------+---------+----------+
| couch          | 48.988 | 44.574  | 40.574   |
+----------------+--------+---------+----------+
| potted plant   | 40.420 | 33.434  | 27.701   |
+----------------+--------+---------+----------+
| bed            | 55.570 | 55.780  | 51.858   |
+----------------+--------+---------+----------+
| dining table   | 31.418 | 30.815  | 27.057   |
+----------------+--------+---------+----------+
| toilet         | 61.981 | 64.454  | 58.611   |
+----------------+--------+---------+----------+
| tv             | 48.777 | 41.533  | 44.806   |
+----------------+--------+---------+----------+
| laptop         | 58.991 | 50.542  | 56.273   |
+----------------+--------+---------+----------+
| mouse          | 9.833  | 6.642   | 6.794    |
+----------------+--------+---------+----------+
| remote         | 39.416 | 22.987  | 40.720   |
+----------------+--------+---------+----------+
| keyboard       | 37.089 | 24.542  | 30.487   |
+----------------+--------+---------+----------+
| cell phone     | 35.160 | 50.184  | 48.125   |
+----------------+--------+---------+----------+
| microwave      | 41.067 | 27.309  | 51.947   |
+----------------+--------+---------+----------+
| oven           | 36.797 | 33.798  | 34.303   |
+----------------+--------+---------+----------+
| toaster        | 17.616 | 11.466  | 0        |
+----------------+--------+---------+----------+
| sink           | 20.696 | 17.625  | 19.043   |
+----------------+--------+---------+----------+
| refrigerator   | 52.394 | 48.454  | 46.224   |
+----------------+--------+---------+----------+
| book           | 33.522 | 35.324  | 28.675   |
+----------------+--------+---------+----------+
| clock          | 28.681 | 21.131  | 29.374   |
+----------------+--------+---------+----------+
| vase           | 29.729 | 32.327  | 29.659   |
+----------------+--------+---------+----------+
| scissors       | 35.573 | 36.863  | 44.739   |
+----------------+--------+---------+----------+
| teddy bear     | 64.378 | 64.355  | 64.934   |
+----------------+--------+---------+----------+
| hair drier     | 15.526 | 18.904  | 0.012    |
+----------------+--------+---------+----------+
| toothbrush     | 24.978 | 20.628  | 28.145   |
+----------------+--------+---------+----------+
| mIoU           | 41.736 | 37.944  | 40.069   |
+----------------+--------+---------+----------+
2022-11-03 17:36:14,191 - dist_train_coco_seg_neg2.py - INFO: Iter: 56200; Elasped: 19:20:12; ETA: 8:11:19; LR: 2.015e-05; cls_loss: 0.0473, cls_loss_aux: 0.0514, ptc_loss: 0.1316, ctc_loss: 0.5391, seg_loss: 0.3014...
2022-11-03 17:39:27,716 - dist_train_coco_seg_neg2.py - INFO: Iter: 56400; Elasped: 19:23:25; ETA: 8:06:49; LR: 2.000e-05; cls_loss: 0.0505, cls_loss_aux: 0.0535, ptc_loss: 0.1426, ctc_loss: 0.5398, seg_loss: 0.3462...
2022-11-03 17:42:41,234 - dist_train_coco_seg_neg2.py - INFO: Iter: 56600; Elasped: 19:26:39; ETA: 8:02:19; LR: 1.985e-05; cls_loss: 0.0483, cls_loss_aux: 0.0528, ptc_loss: 0.1291, ctc_loss: 0.5092, seg_loss: 0.3701...
2022-11-03 17:45:54,795 - dist_train_coco_seg_neg2.py - INFO: Iter: 56800; Elasped: 19:29:52; ETA: 7:57:49; LR: 1.969e-05; cls_loss: 0.0460, cls_loss_aux: 0.0500, ptc_loss: 0.1402, ctc_loss: 0.4844, seg_loss: 0.3592...
2022-11-03 17:49:08,116 - dist_train_coco_seg_neg2.py - INFO: Iter: 57000; Elasped: 19:33:06; ETA: 7:53:21; LR: 1.954e-05; cls_loss: 0.0474, cls_loss_aux: 0.0504, ptc_loss: 0.1371, ctc_loss: 0.4303, seg_loss: 0.3329...
2022-11-03 17:52:21,884 - dist_train_coco_seg_neg2.py - INFO: Iter: 57200; Elasped: 19:36:19; ETA: 7:48:52; LR: 1.939e-05; cls_loss: 0.0496, cls_loss_aux: 0.0527, ptc_loss: 0.1446, ctc_loss: 0.4688, seg_loss: 0.3293...
2022-11-03 17:55:35,385 - dist_train_coco_seg_neg2.py - INFO: Iter: 57400; Elasped: 19:39:33; ETA: 7:44:25; LR: 1.923e-05; cls_loss: 0.0457, cls_loss_aux: 0.0481, ptc_loss: 0.1386, ctc_loss: 0.5344, seg_loss: 0.3455...
2022-11-03 17:58:49,033 - dist_train_coco_seg_neg2.py - INFO: Iter: 57600; Elasped: 19:42:47; ETA: 7:39:58; LR: 1.908e-05; cls_loss: 0.0490, cls_loss_aux: 0.0514, ptc_loss: 0.1306, ctc_loss: 0.4254, seg_loss: 0.3426...
2022-11-03 18:02:02,602 - dist_train_coco_seg_neg2.py - INFO: Iter: 57800; Elasped: 19:46:00; ETA: 7:35:31; LR: 1.893e-05; cls_loss: 0.0448, cls_loss_aux: 0.0476, ptc_loss: 0.1317, ctc_loss: 0.4806, seg_loss: 0.3615...
2022-11-03 18:05:16,296 - dist_train_coco_seg_neg2.py - INFO: Iter: 58000; Elasped: 19:49:14; ETA: 7:31:05; LR: 1.877e-05; cls_loss: 0.0441, cls_loss_aux: 0.0481, ptc_loss: 0.1166, ctc_loss: 0.5663, seg_loss: 0.3122...
2022-11-03 18:08:29,793 - dist_train_coco_seg_neg2.py - INFO: Iter: 58200; Elasped: 19:52:27; ETA: 7:26:39; LR: 1.862e-05; cls_loss: 0.0447, cls_loss_aux: 0.0472, ptc_loss: 0.1379, ctc_loss: 0.4906, seg_loss: 0.3382...
2022-11-03 18:11:43,209 - dist_train_coco_seg_neg2.py - INFO: Iter: 58400; Elasped: 19:55:41; ETA: 7:22:14; LR: 1.847e-05; cls_loss: 0.0447, cls_loss_aux: 0.0469, ptc_loss: 0.1323, ctc_loss: 0.5568, seg_loss: 0.3412...
2022-11-03 18:14:56,633 - dist_train_coco_seg_neg2.py - INFO: Iter: 58600; Elasped: 19:58:54; ETA: 7:17:49; LR: 1.831e-05; cls_loss: 0.0490, cls_loss_aux: 0.0527, ptc_loss: 0.1469, ctc_loss: 0.5079, seg_loss: 0.3406...
2022-11-03 18:18:10,005 - dist_train_coco_seg_neg2.py - INFO: Iter: 58800; Elasped: 20:02:08; ETA: 7:13:25; LR: 1.816e-05; cls_loss: 0.0409, cls_loss_aux: 0.0437, ptc_loss: 0.1234, ctc_loss: 0.5807, seg_loss: 0.2915...
2022-11-03 18:21:23,606 - dist_train_coco_seg_neg2.py - INFO: Iter: 59000; Elasped: 20:05:21; ETA: 7:09:01; LR: 1.800e-05; cls_loss: 0.0447, cls_loss_aux: 0.0473, ptc_loss: 0.1316, ctc_loss: 0.5590, seg_loss: 0.3001...
2022-11-03 18:24:37,000 - dist_train_coco_seg_neg2.py - INFO: Iter: 59200; Elasped: 20:08:35; ETA: 7:04:38; LR: 1.785e-05; cls_loss: 0.0431, cls_loss_aux: 0.0453, ptc_loss: 0.1310, ctc_loss: 0.6044, seg_loss: 0.2962...
2022-11-03 18:27:50,362 - dist_train_coco_seg_neg2.py - INFO: Iter: 59400; Elasped: 20:11:48; ETA: 7:00:15; LR: 1.770e-05; cls_loss: 0.0441, cls_loss_aux: 0.0483, ptc_loss: 0.1076, ctc_loss: 0.5188, seg_loss: 0.2973...
2022-11-03 18:31:03,797 - dist_train_coco_seg_neg2.py - INFO: Iter: 59600; Elasped: 20:15:01; ETA: 6:55:52; LR: 1.754e-05; cls_loss: 0.0530, cls_loss_aux: 0.0551, ptc_loss: 0.1404, ctc_loss: 0.5733, seg_loss: 0.4108...
2022-11-03 18:34:17,421 - dist_train_coco_seg_neg2.py - INFO: Iter: 59800; Elasped: 20:18:15; ETA: 6:51:30; LR: 1.739e-05; cls_loss: 0.0471, cls_loss_aux: 0.0497, ptc_loss: 0.1346, ctc_loss: 0.5147, seg_loss: 0.3108...
2022-11-03 18:37:31,128 - dist_train_coco_seg_neg2.py - INFO: Iter: 60000; Elasped: 20:21:29; ETA: 6:47:09; LR: 1.723e-05; cls_loss: 0.0505, cls_loss_aux: 0.0532, ptc_loss: 0.1269, ctc_loss: 0.4682, seg_loss: 0.3450...
2022-11-03 18:37:31,131 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 18:55:17,796 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.818520
2022-11-03 18:55:17,797 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 67.090 | 63.729  | 66.972   |
+----------------+--------+---------+----------+
| person         | 26.830 | 27.154  | 26.086   |
+----------------+--------+---------+----------+
| bicycle        | 45.661 | 40.364  | 35.266   |
+----------------+--------+---------+----------+
| car            | 36.683 | 28.082  | 34.336   |
+----------------+--------+---------+----------+
| motorcycle     | 59.670 | 55.592  | 60.037   |
+----------------+--------+---------+----------+
| airplane       | 65.419 | 68.501  | 62.837   |
+----------------+--------+---------+----------+
| bus            | 41.725 | 40.658  | 38.574   |
+----------------+--------+---------+----------+
| train          | 52.527 | 48.939  | 50.985   |
+----------------+--------+---------+----------+
| truck          | 37.526 | 36.962  | 35.506   |
+----------------+--------+---------+----------+
| boat           | 51.458 | 44.698  | 47.829   |
+----------------+--------+---------+----------+
| traffic light  | 24.100 | 41.134  | 46.918   |
+----------------+--------+---------+----------+
| fire hydrant   | 57.455 | 38.989  | 56.805   |
+----------------+--------+---------+----------+
| stop sign      | 56.992 | 34.030  | 70.428   |
+----------------+--------+---------+----------+
| parking meter  | 62.887 | 48.519  | 61.263   |
+----------------+--------+---------+----------+
| bench          | 41.975 | 36.652  | 42.625   |
+----------------+--------+---------+----------+
| bird           | 52.717 | 50.404  | 57.167   |
+----------------+--------+---------+----------+
| cat            | 78.411 | 76.991  | 71.656   |
+----------------+--------+---------+----------+
| dog            | 71.420 | 67.732  | 63.979   |
+----------------+--------+---------+----------+
| horse          | 66.170 | 65.680  | 64.135   |
+----------------+--------+---------+----------+
| sheep          | 72.491 | 65.247  | 71.401   |
+----------------+--------+---------+----------+
| cow            | 72.833 | 61.768  | 66.951   |
+----------------+--------+---------+----------+
| elephant       | 78.552 | 76.180  | 79.558   |
+----------------+--------+---------+----------+
| bear           | 78.650 | 75.954  | 80.622   |
+----------------+--------+---------+----------+
| zebra          | 79.681 | 75.670  | 77.856   |
+----------------+--------+---------+----------+
| giraffe        | 72.337 | 70.511  | 69.624   |
+----------------+--------+---------+----------+
| backpack       | 19.123 | 26.989  | 16.774   |
+----------------+--------+---------+----------+
| umbrella       | 64.956 | 66.273  | 62.606   |
+----------------+--------+---------+----------+
| handbag        | 16.339 | 15.217  | 6.053    |
+----------------+--------+---------+----------+
| tie            | 22.155 | 24.189  | 27.339   |
+----------------+--------+---------+----------+
| suitcase       | 56.510 | 54.346  | 55.695   |
+----------------+--------+---------+----------+
| frisbee        | 34.419 | 14.621  | 34.318   |
+----------------+--------+---------+----------+
| skis           | 5.599  | 5.276   | 4.849    |
+----------------+--------+---------+----------+
| snowboard      | 14.479 | 9.367   | 15.278   |
+----------------+--------+---------+----------+
| sports ball    | 11.698 | 4.747   | 17.809   |
+----------------+--------+---------+----------+
| kite           | 44.894 | 42.598  | 43.674   |
+----------------+--------+---------+----------+
| baseball bat   | 1.890  | 1.619   | 1.230    |
+----------------+--------+---------+----------+
| baseball glove | 12.554 | 7.764   | 40.844   |
+----------------+--------+---------+----------+
| skateboard     | 17.217 | 15.649  | 14.592   |
+----------------+--------+---------+----------+
| surfboard      | 17.920 | 10.149  | 17.913   |
+----------------+--------+---------+----------+
| tennis racket  | 7.509  | 4.583   | 4.997    |
+----------------+--------+---------+----------+
| bottle         | 27.794 | 16.562  | 25.377   |
+----------------+--------+---------+----------+
| wine glass     | 31.921 | 30.132  | 19.826   |
+----------------+--------+---------+----------+
| cup            | 27.297 | 27.608  | 26.616   |
+----------------+--------+---------+----------+
| fork           | 8.813  | 10.262  | 6.740    |
+----------------+--------+---------+----------+
| knife          | 9.456  | 26.216  | 20.709   |
+----------------+--------+---------+----------+
| spoon          | 4.531  | 8.168   | 2.355    |
+----------------+--------+---------+----------+
| bowl           | 19.106 | 22.250  | 19.140   |
+----------------+--------+---------+----------+
| banana         | 72.921 | 73.783  | 71.357   |
+----------------+--------+---------+----------+
| apple          | 56.545 | 60.854  | 55.973   |
+----------------+--------+---------+----------+
| sandwich       | 52.279 | 46.832  | 43.020   |
+----------------+--------+---------+----------+
| orange         | 71.890 | 62.251  | 69.750   |
+----------------+--------+---------+----------+
| broccoli       | 58.283 | 57.614  | 54.947   |
+----------------+--------+---------+----------+
| carrot         | 55.810 | 57.844  | 46.023   |
+----------------+--------+---------+----------+
| hot dog        | 61.116 | 60.179  | 55.814   |
+----------------+--------+---------+----------+
| pizza          | 69.520 | 63.950  | 60.959   |
+----------------+--------+---------+----------+
| donut          | 74.112 | 67.372  | 60.554   |
+----------------+--------+---------+----------+
| cake           | 55.241 | 48.729  | 44.940   |
+----------------+--------+---------+----------+
| chair          | 30.791 | 28.402  | 22.417   |
+----------------+--------+---------+----------+
| couch          | 51.137 | 45.270  | 42.069   |
+----------------+--------+---------+----------+
| potted plant   | 40.808 | 22.106  | 24.327   |
+----------------+--------+---------+----------+
| bed            | 54.151 | 52.491  | 51.136   |
+----------------+--------+---------+----------+
| dining table   | 29.997 | 34.380  | 24.040   |
+----------------+--------+---------+----------+
| toilet         | 59.670 | 62.056  | 60.273   |
+----------------+--------+---------+----------+
| tv             | 50.766 | 46.715  | 46.143   |
+----------------+--------+---------+----------+
| laptop         | 56.076 | 49.839  | 50.819   |
+----------------+--------+---------+----------+
| mouse          | 10.967 | 9.604   | 5.266    |
+----------------+--------+---------+----------+
| remote         | 36.936 | 20.607  | 53.736   |
+----------------+--------+---------+----------+
| keyboard       | 45.765 | 19.569  | 43.858   |
+----------------+--------+---------+----------+
| cell phone     | 36.115 | 46.271  | 51.479   |
+----------------+--------+---------+----------+
| microwave      | 39.729 | 46.633  | 52.674   |
+----------------+--------+---------+----------+
| oven           | 37.848 | 38.066  | 35.635   |
+----------------+--------+---------+----------+
| toaster        | 19.948 | 11.798  | 0        |
+----------------+--------+---------+----------+
| sink           | 20.920 | 13.850  | 21.530   |
+----------------+--------+---------+----------+
| refrigerator   | 54.739 | 50.533  | 50.059   |
+----------------+--------+---------+----------+
| book           | 33.540 | 36.280  | 26.752   |
+----------------+--------+---------+----------+
| clock          | 25.953 | 24.283  | 25.043   |
+----------------+--------+---------+----------+
| vase           | 33.090 | 28.296  | 31.736   |
+----------------+--------+---------+----------+
| scissors       | 38.018 | 36.267  | 42.077   |
+----------------+--------+---------+----------+
| teddy bear     | 65.334 | 62.950  | 65.197   |
+----------------+--------+---------+----------+
| hair drier     | 9.124  | 17.986  | 5.867    |
+----------------+--------+---------+----------+
| toothbrush     | 24.188 | 10.893  | 30.889   |
+----------------+--------+---------+----------+
| mIoU           | 42.725 | 39.497  | 41.364   |
+----------------+--------+---------+----------+
2022-11-03 18:58:33,422 - dist_train_coco_seg_neg2.py - INFO: Iter: 60200; Elasped: 20:42:31; ETA: 6:48:40; LR: 1.708e-05; cls_loss: 0.0451, cls_loss_aux: 0.0468, ptc_loss: 0.1275, ctc_loss: 0.5347, seg_loss: 0.3359...
2022-11-03 19:01:46,833 - dist_train_coco_seg_neg2.py - INFO: Iter: 60400; Elasped: 20:45:44; ETA: 6:44:14; LR: 1.692e-05; cls_loss: 0.0520, cls_loss_aux: 0.0548, ptc_loss: 0.1473, ctc_loss: 0.6066, seg_loss: 0.3490...
2022-11-03 19:05:00,391 - dist_train_coco_seg_neg2.py - INFO: Iter: 60600; Elasped: 20:48:58; ETA: 6:39:50; LR: 1.677e-05; cls_loss: 0.0471, cls_loss_aux: 0.0491, ptc_loss: 0.1253, ctc_loss: 0.5354, seg_loss: 0.3489...
2022-11-03 19:08:13,943 - dist_train_coco_seg_neg2.py - INFO: Iter: 60800; Elasped: 20:52:11; ETA: 6:35:25; LR: 1.661e-05; cls_loss: 0.0492, cls_loss_aux: 0.0516, ptc_loss: 0.1144, ctc_loss: 0.5033, seg_loss: 0.3365...
2022-11-03 19:11:28,105 - dist_train_coco_seg_neg2.py - INFO: Iter: 61000; Elasped: 20:55:26; ETA: 6:31:02; LR: 1.645e-05; cls_loss: 0.0448, cls_loss_aux: 0.0477, ptc_loss: 0.1384, ctc_loss: 0.5297, seg_loss: 0.3220...
2022-11-03 19:14:41,498 - dist_train_coco_seg_neg2.py - INFO: Iter: 61200; Elasped: 20:58:39; ETA: 6:26:38; LR: 1.630e-05; cls_loss: 0.0426, cls_loss_aux: 0.0446, ptc_loss: 0.1344, ctc_loss: 0.5368, seg_loss: 0.3342...
2022-11-03 19:17:55,093 - dist_train_coco_seg_neg2.py - INFO: Iter: 61400; Elasped: 21:01:53; ETA: 6:22:15; LR: 1.614e-05; cls_loss: 0.0462, cls_loss_aux: 0.0493, ptc_loss: 0.1286, ctc_loss: 0.5622, seg_loss: 0.2961...
2022-11-03 19:21:13,508 - dist_train_coco_seg_neg2.py - INFO: Iter: 61600; Elasped: 21:05:11; ETA: 6:17:54; LR: 1.599e-05; cls_loss: 0.0447, cls_loss_aux: 0.0464, ptc_loss: 0.1189, ctc_loss: 0.5422, seg_loss: 0.3198...
2022-11-03 19:24:27,095 - dist_train_coco_seg_neg2.py - INFO: Iter: 61800; Elasped: 21:08:25; ETA: 6:13:32; LR: 1.583e-05; cls_loss: 0.0485, cls_loss_aux: 0.0509, ptc_loss: 0.1249, ctc_loss: 0.5159, seg_loss: 0.3195...
2022-11-03 19:27:40,609 - dist_train_coco_seg_neg2.py - INFO: Iter: 62000; Elasped: 21:11:38; ETA: 6:09:11; LR: 1.567e-05; cls_loss: 0.0452, cls_loss_aux: 0.0469, ptc_loss: 0.1329, ctc_loss: 0.5135, seg_loss: 0.3492...
2022-11-03 19:30:54,662 - dist_train_coco_seg_neg2.py - INFO: Iter: 62200; Elasped: 21:14:52; ETA: 6:04:49; LR: 1.552e-05; cls_loss: 0.0477, cls_loss_aux: 0.0499, ptc_loss: 0.1229, ctc_loss: 0.5718, seg_loss: 0.3438...
2022-11-03 19:34:08,370 - dist_train_coco_seg_neg2.py - INFO: Iter: 62400; Elasped: 21:18:06; ETA: 6:00:29; LR: 1.536e-05; cls_loss: 0.0460, cls_loss_aux: 0.0482, ptc_loss: 0.1076, ctc_loss: 0.5339, seg_loss: 0.3359...
2022-11-03 19:37:21,957 - dist_train_coco_seg_neg2.py - INFO: Iter: 62600; Elasped: 21:21:19; ETA: 5:56:08; LR: 1.520e-05; cls_loss: 0.0460, cls_loss_aux: 0.0475, ptc_loss: 0.1236, ctc_loss: 0.5311, seg_loss: 0.3644...
2022-11-03 19:40:35,656 - dist_train_coco_seg_neg2.py - INFO: Iter: 62800; Elasped: 21:24:33; ETA: 5:51:49; LR: 1.504e-05; cls_loss: 0.0450, cls_loss_aux: 0.0472, ptc_loss: 0.1460, ctc_loss: 0.5531, seg_loss: 0.3311...
2022-11-03 19:43:49,415 - dist_train_coco_seg_neg2.py - INFO: Iter: 63000; Elasped: 21:27:47; ETA: 5:47:29; LR: 1.489e-05; cls_loss: 0.0461, cls_loss_aux: 0.0475, ptc_loss: 0.1307, ctc_loss: 0.5204, seg_loss: 0.2799...
2022-11-03 19:47:02,713 - dist_train_coco_seg_neg2.py - INFO: Iter: 63200; Elasped: 21:31:00; ETA: 5:43:10; LR: 1.473e-05; cls_loss: 0.0457, cls_loss_aux: 0.0479, ptc_loss: 0.1223, ctc_loss: 0.4595, seg_loss: 0.2825...
2022-11-03 19:50:16,057 - dist_train_coco_seg_neg2.py - INFO: Iter: 63400; Elasped: 21:34:14; ETA: 5:38:52; LR: 1.457e-05; cls_loss: 0.0439, cls_loss_aux: 0.0456, ptc_loss: 0.1439, ctc_loss: 0.5782, seg_loss: 0.3206...
2022-11-03 19:53:29,474 - dist_train_coco_seg_neg2.py - INFO: Iter: 63600; Elasped: 21:37:27; ETA: 5:34:33; LR: 1.441e-05; cls_loss: 0.0450, cls_loss_aux: 0.0480, ptc_loss: 0.1133, ctc_loss: 0.5304, seg_loss: 0.3258...
2022-11-03 19:56:43,256 - dist_train_coco_seg_neg2.py - INFO: Iter: 63800; Elasped: 21:40:41; ETA: 5:30:16; LR: 1.425e-05; cls_loss: 0.0445, cls_loss_aux: 0.0456, ptc_loss: 0.1214, ctc_loss: 0.5654, seg_loss: 0.3020...
2022-11-03 19:59:56,892 - dist_train_coco_seg_neg2.py - INFO: Iter: 64000; Elasped: 21:43:54; ETA: 5:25:58; LR: 1.410e-05; cls_loss: 0.0421, cls_loss_aux: 0.0437, ptc_loss: 0.1282, ctc_loss: 0.5227, seg_loss: 0.3158...
2022-11-03 19:59:56,894 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 20:17:43,569 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.818379
2022-11-03 20:17:43,571 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 66.828 | 62.902  | 66.921   |
+----------------+--------+---------+----------+
| person         | 24.927 | 26.371  | 25.210   |
+----------------+--------+---------+----------+
| bicycle        | 45.322 | 48.813  | 35.850   |
+----------------+--------+---------+----------+
| car            | 38.455 | 30.443  | 36.390   |
+----------------+--------+---------+----------+
| motorcycle     | 57.648 | 58.920  | 57.166   |
+----------------+--------+---------+----------+
| airplane       | 62.845 | 62.598  | 61.237   |
+----------------+--------+---------+----------+
| bus            | 40.361 | 43.276  | 36.324   |
+----------------+--------+---------+----------+
| train          | 51.549 | 47.421  | 49.945   |
+----------------+--------+---------+----------+
| truck          | 36.664 | 39.044  | 34.411   |
+----------------+--------+---------+----------+
| boat           | 50.861 | 45.003  | 46.087   |
+----------------+--------+---------+----------+
| traffic light  | 21.063 | 32.568  | 46.523   |
+----------------+--------+---------+----------+
| fire hydrant   | 61.199 | 74.891  | 67.927   |
+----------------+--------+---------+----------+
| stop sign      | 60.626 | 42.852  | 65.452   |
+----------------+--------+---------+----------+
| parking meter  | 61.789 | 44.331  | 61.754   |
+----------------+--------+---------+----------+
| bench          | 44.925 | 45.189  | 45.870   |
+----------------+--------+---------+----------+
| bird           | 52.043 | 56.298  | 58.167   |
+----------------+--------+---------+----------+
| cat            | 74.603 | 75.507  | 73.222   |
+----------------+--------+---------+----------+
| dog            | 68.839 | 66.053  | 61.242   |
+----------------+--------+---------+----------+
| horse          | 64.925 | 62.498  | 63.244   |
+----------------+--------+---------+----------+
| sheep          | 70.117 | 56.964  | 67.807   |
+----------------+--------+---------+----------+
| cow            | 72.961 | 51.379  | 65.740   |
+----------------+--------+---------+----------+
| elephant       | 77.913 | 76.066  | 78.651   |
+----------------+--------+---------+----------+
| bear           | 78.509 | 76.071  | 77.248   |
+----------------+--------+---------+----------+
| zebra          | 78.455 | 77.414  | 77.276   |
+----------------+--------+---------+----------+
| giraffe        | 71.242 | 71.381  | 66.624   |
+----------------+--------+---------+----------+
| backpack       | 21.487 | 25.267  | 20.167   |
+----------------+--------+---------+----------+
| umbrella       | 68.162 | 70.462  | 67.391   |
+----------------+--------+---------+----------+
| handbag        | 15.763 | 14.233  | 7.477    |
+----------------+--------+---------+----------+
| tie            | 22.019 | 12.410  | 29.654   |
+----------------+--------+---------+----------+
| suitcase       | 54.492 | 56.948  | 52.284   |
+----------------+--------+---------+----------+
| frisbee        | 35.668 | 25.797  | 35.997   |
+----------------+--------+---------+----------+
| skis           | 5.894  | 4.297   | 5.205    |
+----------------+--------+---------+----------+
| snowboard      | 16.269 | 13.997  | 17.970   |
+----------------+--------+---------+----------+
| sports ball    | 9.509  | 6.545   | 9.558    |
+----------------+--------+---------+----------+
| kite           | 43.225 | 35.914  | 39.301   |
+----------------+--------+---------+----------+
| baseball bat   | 2.224  | 2.026   | 1.562    |
+----------------+--------+---------+----------+
| baseball glove | 11.547 | 5.018   | 25.637   |
+----------------+--------+---------+----------+
| skateboard     | 19.650 | 12.116  | 18.328   |
+----------------+--------+---------+----------+
| surfboard      | 12.551 | 6.968   | 11.906   |
+----------------+--------+---------+----------+
| tennis racket  | 8.507  | 5.018   | 6.528    |
+----------------+--------+---------+----------+
| bottle         | 26.955 | 29.393  | 25.297   |
+----------------+--------+---------+----------+
| wine glass     | 31.357 | 33.512  | 21.266   |
+----------------+--------+---------+----------+
| cup            | 24.794 | 18.601  | 22.774   |
+----------------+--------+---------+----------+
| fork           | 8.751  | 14.078  | 7.047    |
+----------------+--------+---------+----------+
| knife          | 9.635  | 6.863   | 14.682   |
+----------------+--------+---------+----------+
| spoon          | 4.404  | 5.474   | 2.471    |
+----------------+--------+---------+----------+
| bowl           | 18.944 | 21.973  | 15.575   |
+----------------+--------+---------+----------+
| banana         | 73.219 | 72.909  | 71.414   |
+----------------+--------+---------+----------+
| apple          | 56.863 | 60.536  | 54.873   |
+----------------+--------+---------+----------+
| sandwich       | 48.263 | 50.865  | 39.410   |
+----------------+--------+---------+----------+
| orange         | 70.115 | 67.929  | 69.955   |
+----------------+--------+---------+----------+
| broccoli       | 59.343 | 58.886  | 55.688   |
+----------------+--------+---------+----------+
| carrot         | 55.755 | 55.772  | 44.658   |
+----------------+--------+---------+----------+
| hot dog        | 62.071 | 60.003  | 60.049   |
+----------------+--------+---------+----------+
| pizza          | 63.326 | 60.370  | 57.010   |
+----------------+--------+---------+----------+
| donut          | 69.902 | 66.249  | 60.447   |
+----------------+--------+---------+----------+
| cake           | 49.658 | 46.321  | 42.999   |
+----------------+--------+---------+----------+
| chair          | 29.764 | 24.888  | 22.561   |
+----------------+--------+---------+----------+
| couch          | 50.142 | 47.525  | 41.696   |
+----------------+--------+---------+----------+
| potted plant   | 35.737 | 33.890  | 24.198   |
+----------------+--------+---------+----------+
| bed            | 51.817 | 51.581  | 51.295   |
+----------------+--------+---------+----------+
| dining table   | 31.897 | 30.623  | 27.874   |
+----------------+--------+---------+----------+
| toilet         | 59.680 | 58.707  | 57.047   |
+----------------+--------+---------+----------+
| tv             | 49.217 | 45.432  | 46.383   |
+----------------+--------+---------+----------+
| laptop         | 56.842 | 51.903  | 52.939   |
+----------------+--------+---------+----------+
| mouse          | 11.051 | 8.453   | 8.099    |
+----------------+--------+---------+----------+
| remote         | 37.428 | 40.694  | 37.482   |
+----------------+--------+---------+----------+
| keyboard       | 41.373 | 30.905  | 37.259   |
+----------------+--------+---------+----------+
| cell phone     | 34.208 | 27.942  | 54.737   |
+----------------+--------+---------+----------+
| microwave      | 36.403 | 37.902  | 52.568   |
+----------------+--------+---------+----------+
| oven           | 37.651 | 32.142  | 32.491   |
+----------------+--------+---------+----------+
| toaster        | 13.828 | 8.450   | 0        |
+----------------+--------+---------+----------+
| sink           | 20.241 | 15.058  | 17.544   |
+----------------+--------+---------+----------+
| refrigerator   | 54.502 | 47.407  | 50.409   |
+----------------+--------+---------+----------+
| book           | 31.198 | 34.397  | 27.906   |
+----------------+--------+---------+----------+
| clock          | 28.379 | 35.988  | 28.127   |
+----------------+--------+---------+----------+
| vase           | 30.807 | 31.592  | 29.492   |
+----------------+--------+---------+----------+
| scissors       | 36.948 | 45.608  | 47.690   |
+----------------+--------+---------+----------+
| teddy bear     | 67.756 | 65.192  | 67.614   |
+----------------+--------+---------+----------+
| hair drier     | 10.857 | 16.993  | 30.587   |
+----------------+--------+---------+----------+
| toothbrush     | 26.054 | 20.739  | 29.506   |
+----------------+--------+---------+----------+
| mIoU           | 41.960 | 40.062  | 40.943   |
+----------------+--------+---------+----------+
2022-11-03 20:20:57,830 - dist_train_coco_seg_neg2.py - INFO: Iter: 64200; Elasped: 22:04:55; ETA: 5:26:04; LR: 1.394e-05; cls_loss: 0.0441, cls_loss_aux: 0.0474, ptc_loss: 0.1196, ctc_loss: 0.4936, seg_loss: 0.2690...
2022-11-03 20:24:11,723 - dist_train_coco_seg_neg2.py - INFO: Iter: 64400; Elasped: 22:08:09; ETA: 5:21:43; LR: 1.378e-05; cls_loss: 0.0442, cls_loss_aux: 0.0468, ptc_loss: 0.1140, ctc_loss: 0.5409, seg_loss: 0.3653...
2022-11-03 20:27:25,248 - dist_train_coco_seg_neg2.py - INFO: Iter: 64600; Elasped: 22:11:23; ETA: 5:17:23; LR: 1.362e-05; cls_loss: 0.0415, cls_loss_aux: 0.0429, ptc_loss: 0.1213, ctc_loss: 0.5594, seg_loss: 0.2884...
2022-11-03 20:30:38,941 - dist_train_coco_seg_neg2.py - INFO: Iter: 64800; Elasped: 22:14:36; ETA: 5:13:03; LR: 1.346e-05; cls_loss: 0.0429, cls_loss_aux: 0.0453, ptc_loss: 0.1216, ctc_loss: 0.5496, seg_loss: 0.2839...
2022-11-03 20:33:52,292 - dist_train_coco_seg_neg2.py - INFO: Iter: 65000; Elasped: 22:17:50; ETA: 5:08:43; LR: 1.330e-05; cls_loss: 0.0474, cls_loss_aux: 0.0507, ptc_loss: 0.1302, ctc_loss: 0.5368, seg_loss: 0.2974...
2022-11-03 20:37:05,676 - dist_train_coco_seg_neg2.py - INFO: Iter: 65200; Elasped: 22:21:03; ETA: 5:04:24; LR: 1.314e-05; cls_loss: 0.0458, cls_loss_aux: 0.0473, ptc_loss: 0.1317, ctc_loss: 0.5321, seg_loss: 0.3695...
2022-11-03 20:40:19,031 - dist_train_coco_seg_neg2.py - INFO: Iter: 65400; Elasped: 22:24:17; ETA: 5:00:05; LR: 1.298e-05; cls_loss: 0.0426, cls_loss_aux: 0.0449, ptc_loss: 0.1329, ctc_loss: 0.5772, seg_loss: 0.3387...
2022-11-03 20:43:32,596 - dist_train_coco_seg_neg2.py - INFO: Iter: 65600; Elasped: 22:27:30; ETA: 4:55:47; LR: 1.282e-05; cls_loss: 0.0466, cls_loss_aux: 0.0478, ptc_loss: 0.1164, ctc_loss: 0.5661, seg_loss: 0.3074...
2022-11-03 20:46:46,184 - dist_train_coco_seg_neg2.py - INFO: Iter: 65800; Elasped: 22:30:44; ETA: 4:51:29; LR: 1.266e-05; cls_loss: 0.0456, cls_loss_aux: 0.0479, ptc_loss: 0.1316, ctc_loss: 0.5213, seg_loss: 0.3650...
2022-11-03 20:49:59,929 - dist_train_coco_seg_neg2.py - INFO: Iter: 66000; Elasped: 22:33:57; ETA: 4:47:12; LR: 1.250e-05; cls_loss: 0.0460, cls_loss_aux: 0.0487, ptc_loss: 0.1417, ctc_loss: 0.5247, seg_loss: 0.3203...
2022-11-03 20:53:13,386 - dist_train_coco_seg_neg2.py - INFO: Iter: 66200; Elasped: 22:37:11; ETA: 4:42:55; LR: 1.234e-05; cls_loss: 0.0462, cls_loss_aux: 0.0475, ptc_loss: 0.1323, ctc_loss: 0.4732, seg_loss: 0.3074...
2022-11-03 20:56:27,096 - dist_train_coco_seg_neg2.py - INFO: Iter: 66400; Elasped: 22:40:25; ETA: 4:38:38; LR: 1.218e-05; cls_loss: 0.0426, cls_loss_aux: 0.0441, ptc_loss: 0.1327, ctc_loss: 0.5404, seg_loss: 0.3192...
2022-11-03 20:59:40,650 - dist_train_coco_seg_neg2.py - INFO: Iter: 66600; Elasped: 22:43:38; ETA: 4:34:21; LR: 1.202e-05; cls_loss: 0.0432, cls_loss_aux: 0.0455, ptc_loss: 0.1266, ctc_loss: 0.5412, seg_loss: 0.2992...
2022-11-03 21:02:54,546 - dist_train_coco_seg_neg2.py - INFO: Iter: 66800; Elasped: 22:46:52; ETA: 4:30:05; LR: 1.186e-05; cls_loss: 0.0455, cls_loss_aux: 0.0474, ptc_loss: 0.1329, ctc_loss: 0.5427, seg_loss: 0.3091...
2022-11-03 21:06:08,299 - dist_train_coco_seg_neg2.py - INFO: Iter: 67000; Elasped: 22:50:06; ETA: 4:25:50; LR: 1.169e-05; cls_loss: 0.0470, cls_loss_aux: 0.0484, ptc_loss: 0.1337, ctc_loss: 0.5830, seg_loss: 0.3030...
2022-11-03 21:09:21,953 - dist_train_coco_seg_neg2.py - INFO: Iter: 67200; Elasped: 22:53:19; ETA: 4:21:35; LR: 1.153e-05; cls_loss: 0.0431, cls_loss_aux: 0.0448, ptc_loss: 0.1241, ctc_loss: 0.5399, seg_loss: 0.2740...
2022-11-03 21:12:35,474 - dist_train_coco_seg_neg2.py - INFO: Iter: 67400; Elasped: 22:56:33; ETA: 4:17:20; LR: 1.137e-05; cls_loss: 0.0443, cls_loss_aux: 0.0453, ptc_loss: 0.1188, ctc_loss: 0.5730, seg_loss: 0.2970...
2022-11-03 21:15:48,704 - dist_train_coco_seg_neg2.py - INFO: Iter: 67600; Elasped: 22:59:46; ETA: 4:13:05; LR: 1.121e-05; cls_loss: 0.0452, cls_loss_aux: 0.0476, ptc_loss: 0.1233, ctc_loss: 0.5183, seg_loss: 0.2968...
2022-11-03 21:19:02,027 - dist_train_coco_seg_neg2.py - INFO: Iter: 67800; Elasped: 23:03:00; ETA: 4:08:51; LR: 1.104e-05; cls_loss: 0.0480, cls_loss_aux: 0.0512, ptc_loss: 0.1175, ctc_loss: 0.5336, seg_loss: 0.3282...
2022-11-03 21:22:15,586 - dist_train_coco_seg_neg2.py - INFO: Iter: 68000; Elasped: 23:06:13; ETA: 4:04:37; LR: 1.088e-05; cls_loss: 0.0455, cls_loss_aux: 0.0485, ptc_loss: 0.1154, ctc_loss: 0.5420, seg_loss: 0.2794...
2022-11-03 21:22:15,588 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 21:40:02,920 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.823594
2022-11-03 21:40:02,921 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 66.839 | 64.269  | 66.732   |
+----------------+--------+---------+----------+
| person         | 26.478 | 27.239  | 26.473   |
+----------------+--------+---------+----------+
| bicycle        | 46.046 | 33.574  | 37.661   |
+----------------+--------+---------+----------+
| car            | 37.928 | 26.319  | 37.326   |
+----------------+--------+---------+----------+
| motorcycle     | 56.010 | 56.467  | 56.257   |
+----------------+--------+---------+----------+
| airplane       | 64.865 | 66.720  | 63.716   |
+----------------+--------+---------+----------+
| bus            | 42.333 | 41.936  | 41.401   |
+----------------+--------+---------+----------+
| train          | 52.033 | 50.582  | 51.166   |
+----------------+--------+---------+----------+
| truck          | 37.706 | 37.689  | 34.221   |
+----------------+--------+---------+----------+
| boat           | 51.591 | 45.869  | 48.181   |
+----------------+--------+---------+----------+
| traffic light  | 22.252 | 25.554  | 49.968   |
+----------------+--------+---------+----------+
| fire hydrant   | 60.527 | 42.577  | 69.612   |
+----------------+--------+---------+----------+
| stop sign      | 58.742 | 24.910  | 69.038   |
+----------------+--------+---------+----------+
| parking meter  | 65.292 | 52.475  | 66.698   |
+----------------+--------+---------+----------+
| bench          | 44.131 | 48.997  | 43.387   |
+----------------+--------+---------+----------+
| bird           | 54.600 | 58.052  | 58.830   |
+----------------+--------+---------+----------+
| cat            | 78.013 | 76.905  | 74.468   |
+----------------+--------+---------+----------+
| dog            | 71.054 | 69.358  | 65.604   |
+----------------+--------+---------+----------+
| horse          | 65.981 | 66.355  | 63.754   |
+----------------+--------+---------+----------+
| sheep          | 69.874 | 60.148  | 65.566   |
+----------------+--------+---------+----------+
| cow            | 73.860 | 61.472  | 65.015   |
+----------------+--------+---------+----------+
| elephant       | 76.733 | 75.600  | 79.095   |
+----------------+--------+---------+----------+
| bear           | 76.159 | 73.704  | 76.882   |
+----------------+--------+---------+----------+
| zebra          | 78.705 | 76.219  | 77.748   |
+----------------+--------+---------+----------+
| giraffe        | 70.602 | 70.130  | 64.746   |
+----------------+--------+---------+----------+
| backpack       | 20.899 | 29.806  | 18.700   |
+----------------+--------+---------+----------+
| umbrella       | 67.332 | 71.685  | 68.047   |
+----------------+--------+---------+----------+
| handbag        | 17.001 | 21.356  | 9.149    |
+----------------+--------+---------+----------+
| tie            | 24.870 | 26.499  | 31.722   |
+----------------+--------+---------+----------+
| suitcase       | 53.925 | 55.954  | 53.340   |
+----------------+--------+---------+----------+
| frisbee        | 39.708 | 22.825  | 55.037   |
+----------------+--------+---------+----------+
| skis           | 5.046  | 4.140   | 4.101    |
+----------------+--------+---------+----------+
| snowboard      | 16.146 | 16.289  | 19.635   |
+----------------+--------+---------+----------+
| sports ball    | 12.204 | 11.748  | 14.330   |
+----------------+--------+---------+----------+
| kite           | 43.324 | 42.443  | 46.023   |
+----------------+--------+---------+----------+
| baseball bat   | 2.556  | 2.100   | 2.114    |
+----------------+--------+---------+----------+
| baseball glove | 14.286 | 5.619   | 23.908   |
+----------------+--------+---------+----------+
| skateboard     | 21.293 | 12.558  | 18.926   |
+----------------+--------+---------+----------+
| surfboard      | 17.572 | 9.485   | 18.454   |
+----------------+--------+---------+----------+
| tennis racket  | 7.451  | 5.363   | 8.161    |
+----------------+--------+---------+----------+
| bottle         | 26.862 | 27.053  | 25.003   |
+----------------+--------+---------+----------+
| wine glass     | 32.310 | 26.129  | 24.219   |
+----------------+--------+---------+----------+
| cup            | 26.285 | 34.803  | 25.093   |
+----------------+--------+---------+----------+
| fork           | 8.270  | 19.766  | 5.215    |
+----------------+--------+---------+----------+
| knife          | 9.235  | 9.071   | 21.093   |
+----------------+--------+---------+----------+
| spoon          | 5.050  | 4.722   | 2.740    |
+----------------+--------+---------+----------+
| bowl           | 23.314 | 24.051  | 21.361   |
+----------------+--------+---------+----------+
| banana         | 74.059 | 73.066  | 70.819   |
+----------------+--------+---------+----------+
| apple          | 58.220 | 49.957  | 55.277   |
+----------------+--------+---------+----------+
| sandwich       | 47.951 | 44.969  | 41.269   |
+----------------+--------+---------+----------+
| orange         | 72.000 | 72.481  | 71.150   |
+----------------+--------+---------+----------+
| broccoli       | 59.089 | 57.774  | 51.248   |
+----------------+--------+---------+----------+
| carrot         | 55.053 | 49.888  | 45.119   |
+----------------+--------+---------+----------+
| hot dog        | 59.550 | 48.799  | 59.447   |
+----------------+--------+---------+----------+
| pizza          | 64.007 | 60.998  | 58.610   |
+----------------+--------+---------+----------+
| donut          | 71.925 | 67.165  | 61.014   |
+----------------+--------+---------+----------+
| cake           | 52.366 | 48.811  | 44.142   |
+----------------+--------+---------+----------+
| chair          | 30.211 | 27.735  | 22.216   |
+----------------+--------+---------+----------+
| couch          | 50.165 | 53.657  | 42.823   |
+----------------+--------+---------+----------+
| potted plant   | 36.778 | 34.070  | 24.185   |
+----------------+--------+---------+----------+
| bed            | 55.202 | 52.811  | 53.440   |
+----------------+--------+---------+----------+
| dining table   | 31.086 | 31.139  | 25.686   |
+----------------+--------+---------+----------+
| toilet         | 60.878 | 54.493  | 62.126   |
+----------------+--------+---------+----------+
| tv             | 52.083 | 51.493  | 49.376   |
+----------------+--------+---------+----------+
| laptop         | 53.224 | 53.394  | 48.679   |
+----------------+--------+---------+----------+
| mouse          | 10.203 | 7.370   | 7.647    |
+----------------+--------+---------+----------+
| remote         | 39.592 | 31.367  | 60.074   |
+----------------+--------+---------+----------+
| keyboard       | 44.474 | 36.111  | 42.100   |
+----------------+--------+---------+----------+
| cell phone     | 38.534 | 31.399  | 55.531   |
+----------------+--------+---------+----------+
| microwave      | 40.974 | 38.636  | 55.375   |
+----------------+--------+---------+----------+
| oven           | 38.282 | 32.590  | 36.117   |
+----------------+--------+---------+----------+
| toaster        | 18.985 | 14.593  | 0.003    |
+----------------+--------+---------+----------+
| sink           | 19.270 | 14.665  | 16.300   |
+----------------+--------+---------+----------+
| refrigerator   | 54.504 | 49.305  | 52.004   |
+----------------+--------+---------+----------+
| book           | 35.389 | 36.434  | 27.990   |
+----------------+--------+---------+----------+
| clock          | 26.164 | 32.838  | 26.893   |
+----------------+--------+---------+----------+
| vase           | 32.415 | 26.994  | 32.789   |
+----------------+--------+---------+----------+
| scissors       | 36.976 | 36.203  | 46.035   |
+----------------+--------+---------+----------+
| teddy bear     | 67.540 | 69.093  | 66.462   |
+----------------+--------+---------+----------+
| hair drier     | 11.509 | 14.639  | 5.737    |
+----------------+--------+---------+----------+
| toothbrush     | 25.679 | 29.477  | 29.351   |
+----------------+--------+---------+----------+
| mIoU           | 42.810 | 40.136  | 42.185   |
+----------------+--------+---------+----------+
2022-11-03 21:43:17,968 - dist_train_coco_seg_neg2.py - INFO: Iter: 68200; Elasped: 23:27:15; ETA: 4:03:28; LR: 1.072e-05; cls_loss: 0.0482, cls_loss_aux: 0.0497, ptc_loss: 0.1248, ctc_loss: 0.5257, seg_loss: 0.3302...
2022-11-03 21:46:31,691 - dist_train_coco_seg_neg2.py - INFO: Iter: 68400; Elasped: 23:30:29; ETA: 3:59:12; LR: 1.055e-05; cls_loss: 0.0450, cls_loss_aux: 0.0467, ptc_loss: 0.1228, ctc_loss: 0.4639, seg_loss: 0.3231...
2022-11-03 21:49:45,519 - dist_train_coco_seg_neg2.py - INFO: Iter: 68600; Elasped: 23:33:43; ETA: 3:54:55; LR: 1.039e-05; cls_loss: 0.0443, cls_loss_aux: 0.0462, ptc_loss: 0.1228, ctc_loss: 0.4831, seg_loss: 0.3394...
2022-11-03 21:52:59,286 - dist_train_coco_seg_neg2.py - INFO: Iter: 68800; Elasped: 23:36:57; ETA: 3:50:39; LR: 1.023e-05; cls_loss: 0.0477, cls_loss_aux: 0.0493, ptc_loss: 0.1080, ctc_loss: 0.5312, seg_loss: 0.2842...
2022-11-03 21:56:12,975 - dist_train_coco_seg_neg2.py - INFO: Iter: 69000; Elasped: 23:40:10; ETA: 3:46:24; LR: 1.006e-05; cls_loss: 0.0433, cls_loss_aux: 0.0450, ptc_loss: 0.1294, ctc_loss: 0.5271, seg_loss: 0.3118...
2022-11-03 21:59:26,850 - dist_train_coco_seg_neg2.py - INFO: Iter: 69200; Elasped: 23:43:24; ETA: 3:42:08; LR: 9.897e-06; cls_loss: 0.0470, cls_loss_aux: 0.0470, ptc_loss: 0.1140, ctc_loss: 0.5284, seg_loss: 0.3129...
2022-11-03 22:02:40,196 - dist_train_coco_seg_neg2.py - INFO: Iter: 69400; Elasped: 23:46:38; ETA: 3:37:54; LR: 9.732e-06; cls_loss: 0.0443, cls_loss_aux: 0.0462, ptc_loss: 0.1050, ctc_loss: 0.5369, seg_loss: 0.2828...
2022-11-03 22:05:53,743 - dist_train_coco_seg_neg2.py - INFO: Iter: 69600; Elasped: 23:49:51; ETA: 3:33:39; LR: 9.566e-06; cls_loss: 0.0430, cls_loss_aux: 0.0443, ptc_loss: 0.1270, ctc_loss: 0.5599, seg_loss: 0.3105...
2022-11-03 22:09:07,456 - dist_train_coco_seg_neg2.py - INFO: Iter: 69800; Elasped: 23:53:05; ETA: 3:29:25; LR: 9.400e-06; cls_loss: 0.0421, cls_loss_aux: 0.0446, ptc_loss: 0.1293, ctc_loss: 0.4727, seg_loss: 0.2801...
2022-11-03 22:12:21,164 - dist_train_coco_seg_neg2.py - INFO: Iter: 70000; Elasped: 23:56:19; ETA: 3:25:11; LR: 9.234e-06; cls_loss: 0.0437, cls_loss_aux: 0.0453, ptc_loss: 0.1274, ctc_loss: 0.4967, seg_loss: 0.2860...
2022-11-03 22:15:34,836 - dist_train_coco_seg_neg2.py - INFO: Iter: 70200; Elasped: 23:59:32; ETA: 3:20:57; LR: 9.068e-06; cls_loss: 0.0439, cls_loss_aux: 0.0456, ptc_loss: 0.1150, ctc_loss: 0.4845, seg_loss: 0.2500...
2022-11-03 22:18:48,318 - dist_train_coco_seg_neg2.py - INFO: Iter: 70400; Elasped: 1 day, 0:02:46; ETA: 3:16:44; LR: 8.901e-06; cls_loss: 0.0451, cls_loss_aux: 0.0469, ptc_loss: 0.1276, ctc_loss: 0.5482, seg_loss: 0.3282...
2022-11-03 22:22:02,098 - dist_train_coco_seg_neg2.py - INFO: Iter: 70600; Elasped: 1 day, 0:06:00; ETA: 3:12:31; LR: 8.734e-06; cls_loss: 0.0420, cls_loss_aux: 0.0437, ptc_loss: 0.1149, ctc_loss: 0.5713, seg_loss: 0.2715...
2022-11-03 22:25:16,136 - dist_train_coco_seg_neg2.py - INFO: Iter: 70800; Elasped: 1 day, 0:09:14; ETA: 3:08:19; LR: 8.567e-06; cls_loss: 0.0399, cls_loss_aux: 0.0416, ptc_loss: 0.1128, ctc_loss: 0.5807, seg_loss: 0.2722...
2022-11-03 22:28:30,015 - dist_train_coco_seg_neg2.py - INFO: Iter: 71000; Elasped: 1 day, 0:12:28; ETA: 3:04:06; LR: 8.399e-06; cls_loss: 0.0415, cls_loss_aux: 0.0438, ptc_loss: 0.1147, ctc_loss: 0.5744, seg_loss: 0.2814...
2022-11-03 22:31:43,835 - dist_train_coco_seg_neg2.py - INFO: Iter: 71200; Elasped: 1 day, 0:15:41; ETA: 2:59:54; LR: 8.231e-06; cls_loss: 0.0433, cls_loss_aux: 0.0454, ptc_loss: 0.1180, ctc_loss: 0.5436, seg_loss: 0.2889...
2022-11-03 22:34:57,817 - dist_train_coco_seg_neg2.py - INFO: Iter: 71400; Elasped: 1 day, 0:18:55; ETA: 2:55:43; LR: 8.062e-06; cls_loss: 0.0463, cls_loss_aux: 0.0468, ptc_loss: 0.1201, ctc_loss: 0.5588, seg_loss: 0.2997...
2022-11-03 22:38:11,310 - dist_train_coco_seg_neg2.py - INFO: Iter: 71600; Elasped: 1 day, 0:22:09; ETA: 2:51:32; LR: 7.893e-06; cls_loss: 0.0411, cls_loss_aux: 0.0425, ptc_loss: 0.1140, ctc_loss: 0.5512, seg_loss: 0.2559...
2022-11-03 22:41:24,834 - dist_train_coco_seg_neg2.py - INFO: Iter: 71800; Elasped: 1 day, 0:25:22; ETA: 2:47:21; LR: 7.724e-06; cls_loss: 0.0447, cls_loss_aux: 0.0462, ptc_loss: 0.1080, ctc_loss: 0.5592, seg_loss: 0.2608...
2022-11-03 22:44:43,194 - dist_train_coco_seg_neg2.py - INFO: Iter: 72000; Elasped: 1 day, 0:28:41; ETA: 2:43:11; LR: 7.554e-06; cls_loss: 0.0435, cls_loss_aux: 0.0448, ptc_loss: 0.1049, ctc_loss: 0.5643, seg_loss: 0.2764...
2022-11-03 22:44:43,196 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-03 23:02:30,390 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.827074
2022-11-03 23:02:30,391 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 68.527 | 65.482  | 68.623   |
+----------------+--------+---------+----------+
| person         | 28.866 | 31.263  | 28.494   |
+----------------+--------+---------+----------+
| bicycle        | 46.016 | 48.602  | 40.432   |
+----------------+--------+---------+----------+
| car            | 38.948 | 39.073  | 38.124   |
+----------------+--------+---------+----------+
| motorcycle     | 57.187 | 57.134  | 57.849   |
+----------------+--------+---------+----------+
| airplane       | 65.890 | 68.139  | 63.602   |
+----------------+--------+---------+----------+
| bus            | 41.143 | 41.237  | 36.913   |
+----------------+--------+---------+----------+
| train          | 50.764 | 46.709  | 49.158   |
+----------------+--------+---------+----------+
| truck          | 40.307 | 39.913  | 37.143   |
+----------------+--------+---------+----------+
| boat           | 51.134 | 45.707  | 48.553   |
+----------------+--------+---------+----------+
| traffic light  | 22.104 | 15.721  | 47.680   |
+----------------+--------+---------+----------+
| fire hydrant   | 59.572 | 39.892  | 63.313   |
+----------------+--------+---------+----------+
| stop sign      | 56.287 | 29.649  | 68.395   |
+----------------+--------+---------+----------+
| parking meter  | 65.007 | 57.983  | 65.856   |
+----------------+--------+---------+----------+
| bench          | 44.576 | 34.744  | 44.657   |
+----------------+--------+---------+----------+
| bird           | 54.713 | 61.072  | 57.695   |
+----------------+--------+---------+----------+
| cat            | 78.104 | 76.688  | 74.303   |
+----------------+--------+---------+----------+
| dog            | 69.652 | 66.195  | 63.349   |
+----------------+--------+---------+----------+
| horse          | 66.142 | 64.744  | 65.353   |
+----------------+--------+---------+----------+
| sheep          | 70.750 | 59.400  | 69.514   |
+----------------+--------+---------+----------+
| cow            | 73.450 | 59.582  | 67.776   |
+----------------+--------+---------+----------+
| elephant       | 77.192 | 73.310  | 78.851   |
+----------------+--------+---------+----------+
| bear           | 76.777 | 71.638  | 76.282   |
+----------------+--------+---------+----------+
| zebra          | 78.068 | 76.455  | 76.403   |
+----------------+--------+---------+----------+
| giraffe        | 70.668 | 71.062  | 62.677   |
+----------------+--------+---------+----------+
| backpack       | 23.531 | 25.681  | 20.044   |
+----------------+--------+---------+----------+
| umbrella       | 68.945 | 68.472  | 69.639   |
+----------------+--------+---------+----------+
| handbag        | 19.870 | 15.065  | 8.808    |
+----------------+--------+---------+----------+
| tie            | 24.541 | 29.442  | 34.549   |
+----------------+--------+---------+----------+
| suitcase       | 56.628 | 55.597  | 54.663   |
+----------------+--------+---------+----------+
| frisbee        | 35.940 | 21.126  | 40.713   |
+----------------+--------+---------+----------+
| skis           | 5.197  | 4.927   | 4.034    |
+----------------+--------+---------+----------+
| snowboard      | 15.114 | 13.078  | 15.861   |
+----------------+--------+---------+----------+
| sports ball    | 11.145 | 6.201   | 9.637    |
+----------------+--------+---------+----------+
| kite           | 44.822 | 39.979  | 40.816   |
+----------------+--------+---------+----------+
| baseball bat   | 2.417  | 2.198   | 1.935    |
+----------------+--------+---------+----------+
| baseball glove | 15.577 | 8.092   | 18.070   |
+----------------+--------+---------+----------+
| skateboard     | 16.801 | 15.828  | 14.133   |
+----------------+--------+---------+----------+
| surfboard      | 17.550 | 9.239   | 17.231   |
+----------------+--------+---------+----------+
| tennis racket  | 6.871  | 4.144   | 7.542    |
+----------------+--------+---------+----------+
| bottle         | 27.713 | 25.478  | 25.531   |
+----------------+--------+---------+----------+
| wine glass     | 32.402 | 32.838  | 21.524   |
+----------------+--------+---------+----------+
| cup            | 27.629 | 27.597  | 25.774   |
+----------------+--------+---------+----------+
| fork           | 8.744  | 7.878   | 6.820    |
+----------------+--------+---------+----------+
| knife          | 11.043 | 18.222  | 15.899   |
+----------------+--------+---------+----------+
| spoon          | 5.063  | 6.188   | 2.769    |
+----------------+--------+---------+----------+
| bowl           | 21.820 | 23.604  | 17.197   |
+----------------+--------+---------+----------+
| banana         | 73.817 | 73.079  | 72.292   |
+----------------+--------+---------+----------+
| apple          | 61.669 | 50.443  | 55.464   |
+----------------+--------+---------+----------+
| sandwich       | 47.441 | 46.874  | 41.205   |
+----------------+--------+---------+----------+
| orange         | 70.731 | 70.387  | 69.722   |
+----------------+--------+---------+----------+
| broccoli       | 60.436 | 61.163  | 55.476   |
+----------------+--------+---------+----------+
| carrot         | 55.462 | 58.464  | 47.541   |
+----------------+--------+---------+----------+
| hot dog        | 62.206 | 56.171  | 59.810   |
+----------------+--------+---------+----------+
| pizza          | 61.415 | 58.491  | 55.908   |
+----------------+--------+---------+----------+
| donut          | 69.407 | 65.676  | 60.227   |
+----------------+--------+---------+----------+
| cake           | 53.339 | 51.759  | 43.458   |
+----------------+--------+---------+----------+
| chair          | 32.653 | 32.381  | 24.152   |
+----------------+--------+---------+----------+
| couch          | 52.648 | 51.979  | 43.386   |
+----------------+--------+---------+----------+
| potted plant   | 38.453 | 33.806  | 26.721   |
+----------------+--------+---------+----------+
| bed            | 55.086 | 55.302  | 51.423   |
+----------------+--------+---------+----------+
| dining table   | 30.444 | 29.871  | 25.398   |
+----------------+--------+---------+----------+
| toilet         | 62.811 | 56.791  | 60.691   |
+----------------+--------+---------+----------+
| tv             | 51.031 | 52.156  | 48.581   |
+----------------+--------+---------+----------+
| laptop         | 59.323 | 55.620  | 56.021   |
+----------------+--------+---------+----------+
| mouse          | 11.805 | 6.347   | 9.267    |
+----------------+--------+---------+----------+
| remote         | 38.966 | 48.952  | 48.364   |
+----------------+--------+---------+----------+
| keyboard       | 44.065 | 31.138  | 41.067   |
+----------------+--------+---------+----------+
| cell phone     | 37.874 | 48.487  | 53.288   |
+----------------+--------+---------+----------+
| microwave      | 42.390 | 31.212  | 51.375   |
+----------------+--------+---------+----------+
| oven           | 40.275 | 35.586  | 36.461   |
+----------------+--------+---------+----------+
| toaster        | 16.798 | 7.093   | 0        |
+----------------+--------+---------+----------+
| sink           | 21.820 | 16.804  | 19.333   |
+----------------+--------+---------+----------+
| refrigerator   | 55.272 | 48.028  | 51.801   |
+----------------+--------+---------+----------+
| book           | 37.983 | 39.838  | 31.157   |
+----------------+--------+---------+----------+
| clock          | 27.140 | 30.440  | 28.613   |
+----------------+--------+---------+----------+
| vase           | 33.595 | 36.276  | 32.720   |
+----------------+--------+---------+----------+
| scissors       | 37.547 | 48.926  | 45.267   |
+----------------+--------+---------+----------+
| teddy bear     | 67.521 | 66.213  | 68.376   |
+----------------+--------+---------+----------+
| hair drier     | 11.451 | 10.418  | 9.054    |
+----------------+--------+---------+----------+
| toothbrush     | 25.836 | 24.218  | 30.625   |
+----------------+--------+---------+----------+
| mIoU           | 43.209 | 40.650  | 41.709   |
+----------------+--------+---------+----------+
2022-11-03 23:05:45,496 - dist_train_coco_seg_neg2.py - INFO: Iter: 72200; Elasped: 1 day, 0:49:43; ETA: 2:40:56; LR: 7.384e-06; cls_loss: 0.0437, cls_loss_aux: 0.0435, ptc_loss: 0.1261, ctc_loss: 0.5249, seg_loss: 0.2901...
2022-11-03 23:08:59,770 - dist_train_coco_seg_neg2.py - INFO: Iter: 72400; Elasped: 1 day, 0:52:57; ETA: 2:36:43; LR: 7.214e-06; cls_loss: 0.0390, cls_loss_aux: 0.0394, ptc_loss: 0.1261, ctc_loss: 0.5742, seg_loss: 0.3269...
2022-11-03 23:12:13,738 - dist_train_coco_seg_neg2.py - INFO: Iter: 72600; Elasped: 1 day, 0:56:11; ETA: 2:32:30; LR: 7.043e-06; cls_loss: 0.0409, cls_loss_aux: 0.0418, ptc_loss: 0.1137, ctc_loss: 0.5921, seg_loss: 0.2385...
2022-11-03 23:15:28,234 - dist_train_coco_seg_neg2.py - INFO: Iter: 72800; Elasped: 1 day, 0:59:26; ETA: 2:28:17; LR: 6.871e-06; cls_loss: 0.0442, cls_loss_aux: 0.0454, ptc_loss: 0.1219, ctc_loss: 0.5515, seg_loss: 0.2926...
2022-11-03 23:18:42,203 - dist_train_coco_seg_neg2.py - INFO: Iter: 73000; Elasped: 1 day, 1:02:40; ETA: 2:24:05; LR: 6.699e-06; cls_loss: 0.0400, cls_loss_aux: 0.0413, ptc_loss: 0.1123, ctc_loss: 0.5301, seg_loss: 0.2478...
2022-11-03 23:21:56,385 - dist_train_coco_seg_neg2.py - INFO: Iter: 73200; Elasped: 1 day, 1:05:54; ETA: 2:19:53; LR: 6.527e-06; cls_loss: 0.0454, cls_loss_aux: 0.0463, ptc_loss: 0.1240, ctc_loss: 0.5426, seg_loss: 0.2867...
2022-11-03 23:25:10,061 - dist_train_coco_seg_neg2.py - INFO: Iter: 73400; Elasped: 1 day, 1:09:08; ETA: 2:15:41; LR: 6.354e-06; cls_loss: 0.0431, cls_loss_aux: 0.0444, ptc_loss: 0.1136, ctc_loss: 0.5274, seg_loss: 0.2908...
2022-11-03 23:28:24,171 - dist_train_coco_seg_neg2.py - INFO: Iter: 73600; Elasped: 1 day, 1:12:22; ETA: 2:11:30; LR: 6.180e-06; cls_loss: 0.0433, cls_loss_aux: 0.0445, ptc_loss: 0.1160, ctc_loss: 0.5121, seg_loss: 0.3123...
2022-11-03 23:31:38,190 - dist_train_coco_seg_neg2.py - INFO: Iter: 73800; Elasped: 1 day, 1:15:36; ETA: 2:07:19; LR: 6.006e-06; cls_loss: 0.0433, cls_loss_aux: 0.0452, ptc_loss: 0.1121, ctc_loss: 0.5617, seg_loss: 0.2779...
2022-11-03 23:34:52,780 - dist_train_coco_seg_neg2.py - INFO: Iter: 74000; Elasped: 1 day, 1:18:50; ETA: 2:03:08; LR: 5.831e-06; cls_loss: 0.0466, cls_loss_aux: 0.0475, ptc_loss: 0.1194, ctc_loss: 0.5705, seg_loss: 0.3533...
2022-11-03 23:38:06,755 - dist_train_coco_seg_neg2.py - INFO: Iter: 74200; Elasped: 1 day, 1:22:04; ETA: 1:58:58; LR: 5.656e-06; cls_loss: 0.0448, cls_loss_aux: 0.0456, ptc_loss: 0.1048, ctc_loss: 0.5240, seg_loss: 0.2565...
2022-11-03 23:41:21,259 - dist_train_coco_seg_neg2.py - INFO: Iter: 74400; Elasped: 1 day, 1:25:19; ETA: 1:54:48; LR: 5.480e-06; cls_loss: 0.0450, cls_loss_aux: 0.0463, ptc_loss: 0.1094, ctc_loss: 0.5296, seg_loss: 0.3130...
2022-11-03 23:44:35,339 - dist_train_coco_seg_neg2.py - INFO: Iter: 74600; Elasped: 1 day, 1:28:33; ETA: 1:50:38; LR: 5.304e-06; cls_loss: 0.0439, cls_loss_aux: 0.0437, ptc_loss: 0.1157, ctc_loss: 0.4958, seg_loss: 0.2921...
2022-11-03 23:47:49,950 - dist_train_coco_seg_neg2.py - INFO: Iter: 74800; Elasped: 1 day, 1:31:47; ETA: 1:46:29; LR: 5.127e-06; cls_loss: 0.0453, cls_loss_aux: 0.0448, ptc_loss: 0.1176, ctc_loss: 0.5141, seg_loss: 0.3296...
2022-11-03 23:51:04,044 - dist_train_coco_seg_neg2.py - INFO: Iter: 75000; Elasped: 1 day, 1:35:02; ETA: 1:42:20; LR: 4.949e-06; cls_loss: 0.0399, cls_loss_aux: 0.0404, ptc_loss: 0.1111, ctc_loss: 0.5437, seg_loss: 0.2524...
2022-11-03 23:54:18,337 - dist_train_coco_seg_neg2.py - INFO: Iter: 75200; Elasped: 1 day, 1:38:16; ETA: 1:38:11; LR: 4.771e-06; cls_loss: 0.0463, cls_loss_aux: 0.0468, ptc_loss: 0.1110, ctc_loss: 0.5565, seg_loss: 0.3120...
2022-11-03 23:57:32,049 - dist_train_coco_seg_neg2.py - INFO: Iter: 75400; Elasped: 1 day, 1:41:30; ETA: 1:34:02; LR: 4.591e-06; cls_loss: 0.0451, cls_loss_aux: 0.0463, ptc_loss: 0.1264, ctc_loss: 0.5091, seg_loss: 0.3195...
2022-11-04 00:00:46,518 - dist_train_coco_seg_neg2.py - INFO: Iter: 75600; Elasped: 1 day, 1:44:44; ETA: 1:29:54; LR: 4.411e-06; cls_loss: 0.0474, cls_loss_aux: 0.0476, ptc_loss: 0.1240, ctc_loss: 0.5560, seg_loss: 0.3432...
2022-11-04 00:04:00,699 - dist_train_coco_seg_neg2.py - INFO: Iter: 75800; Elasped: 1 day, 1:47:58; ETA: 1:25:46; LR: 4.230e-06; cls_loss: 0.0406, cls_loss_aux: 0.0409, ptc_loss: 0.0990, ctc_loss: 0.5338, seg_loss: 0.2774...
2022-11-04 00:07:14,602 - dist_train_coco_seg_neg2.py - INFO: Iter: 76000; Elasped: 1 day, 1:51:12; ETA: 1:21:38; LR: 4.049e-06; cls_loss: 0.0409, cls_loss_aux: 0.0414, ptc_loss: 0.1192, ctc_loss: 0.5598, seg_loss: 0.2863...
2022-11-04 00:07:14,604 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-04 00:25:02,540 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.828591
2022-11-04 00:25:02,543 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 68.206 | 65.525  | 68.174   |
+----------------+--------+---------+----------+
| person         | 28.657 | 30.312  | 27.942   |
+----------------+--------+---------+----------+
| bicycle        | 44.946 | 34.556  | 40.201   |
+----------------+--------+---------+----------+
| car            | 38.803 | 39.444  | 38.474   |
+----------------+--------+---------+----------+
| motorcycle     | 54.409 | 55.361  | 55.111   |
+----------------+--------+---------+----------+
| airplane       | 64.503 | 66.510  | 61.422   |
+----------------+--------+---------+----------+
| bus            | 42.155 | 44.511  | 40.547   |
+----------------+--------+---------+----------+
| train          | 49.725 | 44.770  | 48.400   |
+----------------+--------+---------+----------+
| truck          | 38.518 | 37.536  | 36.657   |
+----------------+--------+---------+----------+
| boat           | 51.932 | 48.238  | 49.811   |
+----------------+--------+---------+----------+
| traffic light  | 22.369 | 26.789  | 45.550   |
+----------------+--------+---------+----------+
| fire hydrant   | 60.226 | 47.039  | 62.958   |
+----------------+--------+---------+----------+
| stop sign      | 57.557 | 25.102  | 70.532   |
+----------------+--------+---------+----------+
| parking meter  | 62.857 | 57.458  | 68.904   |
+----------------+--------+---------+----------+
| bench          | 43.991 | 40.864  | 43.755   |
+----------------+--------+---------+----------+
| bird           | 54.033 | 62.250  | 56.843   |
+----------------+--------+---------+----------+
| cat            | 78.774 | 76.264  | 72.607   |
+----------------+--------+---------+----------+
| dog            | 69.684 | 66.766  | 62.598   |
+----------------+--------+---------+----------+
| horse          | 65.069 | 62.992  | 63.461   |
+----------------+--------+---------+----------+
| sheep          | 68.182 | 57.835  | 67.012   |
+----------------+--------+---------+----------+
| cow            | 73.126 | 63.305  | 68.174   |
+----------------+--------+---------+----------+
| elephant       | 77.363 | 76.312  | 79.397   |
+----------------+--------+---------+----------+
| bear           | 77.046 | 74.331  | 76.032   |
+----------------+--------+---------+----------+
| zebra          | 77.958 | 75.650  | 77.540   |
+----------------+--------+---------+----------+
| giraffe        | 71.298 | 71.108  | 65.457   |
+----------------+--------+---------+----------+
| backpack       | 23.254 | 28.532  | 19.730   |
+----------------+--------+---------+----------+
| umbrella       | 69.943 | 69.578  | 70.199   |
+----------------+--------+---------+----------+
| handbag        | 19.654 | 21.056  | 9.367    |
+----------------+--------+---------+----------+
| tie            | 25.113 | 21.188  | 34.607   |
+----------------+--------+---------+----------+
| suitcase       | 57.672 | 55.598  | 56.180   |
+----------------+--------+---------+----------+
| frisbee        | 38.092 | 22.500  | 41.710   |
+----------------+--------+---------+----------+
| skis           | 5.120  | 4.807   | 4.032    |
+----------------+--------+---------+----------+
| snowboard      | 14.470 | 21.523  | 14.835   |
+----------------+--------+---------+----------+
| sports ball    | 11.346 | 10.881  | 11.908   |
+----------------+--------+---------+----------+
| kite           | 44.924 | 38.868  | 41.036   |
+----------------+--------+---------+----------+
| baseball bat   | 2.525  | 1.901   | 2.176    |
+----------------+--------+---------+----------+
| baseball glove | 17.043 | 12.513  | 17.332   |
+----------------+--------+---------+----------+
| skateboard     | 15.501 | 13.246  | 14.214   |
+----------------+--------+---------+----------+
| surfboard      | 20.703 | 11.259  | 22.975   |
+----------------+--------+---------+----------+
| tennis racket  | 6.461  | 4.361   | 7.278    |
+----------------+--------+---------+----------+
| bottle         | 29.056 | 27.980  | 25.821   |
+----------------+--------+---------+----------+
| wine glass     | 31.739 | 32.629  | 22.220   |
+----------------+--------+---------+----------+
| cup            | 27.293 | 19.451  | 26.347   |
+----------------+--------+---------+----------+
| fork           | 9.056  | 10.484  | 6.597    |
+----------------+--------+---------+----------+
| knife          | 10.825 | 10.047  | 19.128   |
+----------------+--------+---------+----------+
| spoon          | 5.101  | 7.105   | 2.968    |
+----------------+--------+---------+----------+
| bowl           | 22.376 | 24.701  | 18.045   |
+----------------+--------+---------+----------+
| banana         | 74.228 | 72.890  | 71.363   |
+----------------+--------+---------+----------+
| apple          | 59.855 | 61.109  | 54.495   |
+----------------+--------+---------+----------+
| sandwich       | 48.408 | 48.425  | 40.456   |
+----------------+--------+---------+----------+
| orange         | 71.115 | 70.159  | 70.096   |
+----------------+--------+---------+----------+
| broccoli       | 60.412 | 59.692  | 55.331   |
+----------------+--------+---------+----------+
| carrot         | 55.552 | 56.297  | 47.945   |
+----------------+--------+---------+----------+
| hot dog        | 57.597 | 58.052  | 58.429   |
+----------------+--------+---------+----------+
| pizza          | 59.868 | 56.169  | 54.157   |
+----------------+--------+---------+----------+
| donut          | 71.330 | 66.032  | 60.395   |
+----------------+--------+---------+----------+
| cake           | 54.640 | 52.975  | 41.484   |
+----------------+--------+---------+----------+
| chair          | 32.766 | 30.699  | 24.491   |
+----------------+--------+---------+----------+
| couch          | 53.545 | 51.020  | 44.040   |
+----------------+--------+---------+----------+
| potted plant   | 38.825 | 36.886  | 27.900   |
+----------------+--------+---------+----------+
| bed            | 57.987 | 56.550  | 54.752   |
+----------------+--------+---------+----------+
| dining table   | 30.995 | 33.338  | 25.381   |
+----------------+--------+---------+----------+
| toilet         | 63.313 | 64.738  | 62.292   |
+----------------+--------+---------+----------+
| tv             | 52.340 | 52.764  | 49.751   |
+----------------+--------+---------+----------+
| laptop         | 60.496 | 55.891  | 56.076   |
+----------------+--------+---------+----------+
| mouse          | 11.140 | 7.651   | 9.142    |
+----------------+--------+---------+----------+
| remote         | 39.564 | 37.672  | 56.475   |
+----------------+--------+---------+----------+
| keyboard       | 44.500 | 27.096  | 40.645   |
+----------------+--------+---------+----------+
| cell phone     | 36.251 | 51.724  | 56.826   |
+----------------+--------+---------+----------+
| microwave      | 40.754 | 39.429  | 55.291   |
+----------------+--------+---------+----------+
| oven           | 39.854 | 38.025  | 35.314   |
+----------------+--------+---------+----------+
| toaster        | 16.180 | 8.881   | 0        |
+----------------+--------+---------+----------+
| sink           | 20.951 | 15.076  | 19.527   |
+----------------+--------+---------+----------+
| refrigerator   | 55.783 | 49.802  | 51.634   |
+----------------+--------+---------+----------+
| book           | 39.797 | 37.764  | 32.397   |
+----------------+--------+---------+----------+
| clock          | 30.855 | 35.596  | 32.854   |
+----------------+--------+---------+----------+
| vase           | 32.271 | 33.135  | 32.747   |
+----------------+--------+---------+----------+
| scissors       | 35.388 | 31.074  | 49.280   |
+----------------+--------+---------+----------+
| teddy bear     | 67.283 | 64.990  | 66.629   |
+----------------+--------+---------+----------+
| hair drier     | 13.768 | 12.036  | 6.902    |
+----------------+--------+---------+----------+
| toothbrush     | 26.600 | 15.051  | 30.031   |
+----------------+--------+---------+----------+
| mIoU           | 43.245 | 40.861  | 42.109   |
+----------------+--------+---------+----------+
2022-11-04 00:28:16,854 - dist_train_coco_seg_neg2.py - INFO: Iter: 76200; Elasped: 1 day, 2:12:14; ETA: 1:18:24; LR: 3.866e-06; cls_loss: 0.0460, cls_loss_aux: 0.0472, ptc_loss: 0.1154, ctc_loss: 0.4892, seg_loss: 0.3169...
2022-11-04 00:31:31,124 - dist_train_coco_seg_neg2.py - INFO: Iter: 76400; Elasped: 1 day, 2:15:29; ETA: 1:14:14; LR: 3.683e-06; cls_loss: 0.0460, cls_loss_aux: 0.0479, ptc_loss: 0.1161, ctc_loss: 0.5434, seg_loss: 0.2765...
2022-11-04 00:34:45,415 - dist_train_coco_seg_neg2.py - INFO: Iter: 76600; Elasped: 1 day, 2:18:43; ETA: 1:10:04; LR: 3.498e-06; cls_loss: 0.0431, cls_loss_aux: 0.0455, ptc_loss: 0.1240, ctc_loss: 0.5456, seg_loss: 0.3044...
2022-11-04 00:37:59,499 - dist_train_coco_seg_neg2.py - INFO: Iter: 76800; Elasped: 1 day, 2:21:57; ETA: 1:05:54; LR: 3.312e-06; cls_loss: 0.0418, cls_loss_aux: 0.0435, ptc_loss: 0.1123, ctc_loss: 0.5311, seg_loss: 0.2835...
2022-11-04 00:41:13,401 - dist_train_coco_seg_neg2.py - INFO: Iter: 77000; Elasped: 1 day, 2:25:11; ETA: 1:01:45; LR: 3.125e-06; cls_loss: 0.0402, cls_loss_aux: 0.0416, ptc_loss: 0.0944, ctc_loss: 0.5204, seg_loss: 0.2687...
2022-11-04 00:44:27,361 - dist_train_coco_seg_neg2.py - INFO: Iter: 77200; Elasped: 1 day, 2:28:25; ETA: 0:57:36; LR: 2.937e-06; cls_loss: 0.0432, cls_loss_aux: 0.0446, ptc_loss: 0.1000, ctc_loss: 0.5523, seg_loss: 0.2884...
2022-11-04 00:47:41,933 - dist_train_coco_seg_neg2.py - INFO: Iter: 77400; Elasped: 1 day, 2:31:39; ETA: 0:53:27; LR: 2.748e-06; cls_loss: 0.0432, cls_loss_aux: 0.0450, ptc_loss: 0.1156, ctc_loss: 0.5270, seg_loss: 0.2481...
2022-11-04 00:50:56,313 - dist_train_coco_seg_neg2.py - INFO: Iter: 77600; Elasped: 1 day, 2:34:54; ETA: 0:49:19; LR: 2.557e-06; cls_loss: 0.0421, cls_loss_aux: 0.0439, ptc_loss: 0.1105, ctc_loss: 0.5778, seg_loss: 0.2807...
2022-11-04 00:54:10,509 - dist_train_coco_seg_neg2.py - INFO: Iter: 77800; Elasped: 1 day, 2:38:08; ETA: 0:45:11; LR: 2.364e-06; cls_loss: 0.0439, cls_loss_aux: 0.0447, ptc_loss: 0.1282, ctc_loss: 0.5671, seg_loss: 0.2600...
2022-11-04 00:57:24,609 - dist_train_coco_seg_neg2.py - INFO: Iter: 78000; Elasped: 1 day, 2:41:22; ETA: 0:41:03; LR: 2.170e-06; cls_loss: 0.0397, cls_loss_aux: 0.0413, ptc_loss: 0.0949, ctc_loss: 0.5022, seg_loss: 0.2566...
2022-11-04 01:00:38,542 - dist_train_coco_seg_neg2.py - INFO: Iter: 78200; Elasped: 1 day, 2:44:36; ETA: 0:36:56; LR: 1.974e-06; cls_loss: 0.0451, cls_loss_aux: 0.0458, ptc_loss: 0.1126, ctc_loss: 0.5265, seg_loss: 0.2878...
2022-11-04 01:03:52,401 - dist_train_coco_seg_neg2.py - INFO: Iter: 78400; Elasped: 1 day, 2:47:50; ETA: 0:32:48; LR: 1.776e-06; cls_loss: 0.0429, cls_loss_aux: 0.0445, ptc_loss: 0.1241, ctc_loss: 0.5609, seg_loss: 0.2574...
2022-11-04 01:07:06,454 - dist_train_coco_seg_neg2.py - INFO: Iter: 78600; Elasped: 1 day, 2:51:04; ETA: 0:28:41; LR: 1.575e-06; cls_loss: 0.0390, cls_loss_aux: 0.0392, ptc_loss: 0.1071, ctc_loss: 0.5827, seg_loss: 0.2646...
2022-11-04 01:10:20,201 - dist_train_coco_seg_neg2.py - INFO: Iter: 78800; Elasped: 1 day, 2:54:18; ETA: 0:24:34; LR: 1.371e-06; cls_loss: 0.0427, cls_loss_aux: 0.0434, ptc_loss: 0.1125, ctc_loss: 0.5232, seg_loss: 0.2889...
2022-11-04 01:13:34,301 - dist_train_coco_seg_neg2.py - INFO: Iter: 79000; Elasped: 1 day, 2:57:32; ETA: 0:20:28; LR: 1.163e-06; cls_loss: 0.0400, cls_loss_aux: 0.0417, ptc_loss: 0.1019, ctc_loss: 0.5340, seg_loss: 0.2310...
2022-11-04 01:16:48,309 - dist_train_coco_seg_neg2.py - INFO: Iter: 79200; Elasped: 1 day, 3:00:46; ETA: 0:16:22; LR: 9.520e-07; cls_loss: 0.0446, cls_loss_aux: 0.0461, ptc_loss: 0.1206, ctc_loss: 0.4992, seg_loss: 0.2769...
2022-11-04 01:20:02,525 - dist_train_coco_seg_neg2.py - INFO: Iter: 79400; Elasped: 1 day, 3:04:00; ETA: 0:12:16; LR: 7.351e-07; cls_loss: 0.0497, cls_loss_aux: 0.0504, ptc_loss: 0.1158, ctc_loss: 0.5456, seg_loss: 0.3058...
2022-11-04 01:23:16,741 - dist_train_coco_seg_neg2.py - INFO: Iter: 79600; Elasped: 1 day, 3:07:14; ETA: 0:08:10; LR: 5.107e-07; cls_loss: 0.0424, cls_loss_aux: 0.0431, ptc_loss: 0.1038, ctc_loss: 0.5135, seg_loss: 0.2569...
2022-11-04 01:26:30,821 - dist_train_coco_seg_neg2.py - INFO: Iter: 79800; Elasped: 1 day, 3:10:28; ETA: 0:04:05; LR: 2.743e-07; cls_loss: 0.0454, cls_loss_aux: 0.0463, ptc_loss: 0.1221, ctc_loss: 0.5583, seg_loss: 0.3342...
2022-11-04 01:29:44,347 - dist_train_coco_seg_neg2.py - INFO: Iter: 80000; Elasped: 1 day, 3:13:42; ETA: 0:00:00; LR: 2.319e-09; cls_loss: 0.0433, cls_loss_aux: 0.0434, ptc_loss: 0.1140, ctc_loss: 0.5070, seg_loss: 0.2742...
2022-11-04 01:29:44,348 - dist_train_coco_seg_neg2.py - INFO: Validating...
2022-11-04 01:47:32,229 - dist_train_coco_seg_neg2.py - INFO: val cls score: 0.830134
2022-11-04 01:47:32,232 - dist_train_coco_seg_neg2.py - INFO: 
+----------------+--------+---------+----------+
|     Class      |  CAM   | aux_CAM | Seg_Pred |
+================+========+=========+==========+
| _background_   | 68.608 | 65.518  | 68.543   |
+----------------+--------+---------+----------+
| person         | 28.770 | 30.499  | 28.104   |
+----------------+--------+---------+----------+
| bicycle        | 45.512 | 34.564  | 39.784   |
+----------------+--------+---------+----------+
| car            | 39.728 | 34.063  | 38.959   |
+----------------+--------+---------+----------+
| motorcycle     | 54.740 | 55.666  | 55.151   |
+----------------+--------+---------+----------+
| airplane       | 64.516 | 66.609  | 62.149   |
+----------------+--------+---------+----------+
| bus            | 41.071 | 41.771  | 39.037   |
+----------------+--------+---------+----------+
| train          | 49.622 | 43.831  | 48.751   |
+----------------+--------+---------+----------+
| truck          | 39.257 | 38.563  | 37.386   |
+----------------+--------+---------+----------+
| boat           | 51.876 | 46.826  | 49.189   |
+----------------+--------+---------+----------+
| traffic light  | 23.455 | 30.899  | 47.329   |
+----------------+--------+---------+----------+
| fire hydrant   | 60.558 | 44.145  | 69.664   |
+----------------+--------+---------+----------+
| stop sign      | 58.113 | 28.059  | 70.177   |
+----------------+--------+---------+----------+
| parking meter  | 63.405 | 58.094  | 67.988   |
+----------------+--------+---------+----------+
| bench          | 44.981 | 40.740  | 43.987   |
+----------------+--------+---------+----------+
| bird           | 55.250 | 61.644  | 58.642   |
+----------------+--------+---------+----------+
| cat            | 79.091 | 76.514  | 74.013   |
+----------------+--------+---------+----------+
| dog            | 70.045 | 67.308  | 64.035   |
+----------------+--------+---------+----------+
| horse          | 65.112 | 64.317  | 66.166   |
+----------------+--------+---------+----------+
| sheep          | 69.419 | 61.314  | 67.982   |
+----------------+--------+---------+----------+
| cow            | 73.140 | 63.985  | 69.039   |
+----------------+--------+---------+----------+
| elephant       | 77.829 | 76.614  | 79.736   |
+----------------+--------+---------+----------+
| bear           | 77.090 | 74.293  | 76.864   |
+----------------+--------+---------+----------+
| zebra          | 78.314 | 75.996  | 77.538   |
+----------------+--------+---------+----------+
| giraffe        | 71.447 | 71.351  | 66.192   |
+----------------+--------+---------+----------+
| backpack       | 22.735 | 29.930  | 20.304   |
+----------------+--------+---------+----------+
| umbrella       | 70.529 | 67.230  | 70.910   |
+----------------+--------+---------+----------+
| handbag        | 19.544 | 21.969  | 8.161    |
+----------------+--------+---------+----------+
| tie            | 25.513 | 25.406  | 33.499   |
+----------------+--------+---------+----------+
| suitcase       | 57.481 | 56.468  | 55.375   |
+----------------+--------+---------+----------+
| frisbee        | 36.229 | 26.334  | 39.602   |
+----------------+--------+---------+----------+
| skis           | 5.155  | 4.755   | 4.055    |
+----------------+--------+---------+----------+
| snowboard      | 15.273 | 18.268  | 15.505   |
+----------------+--------+---------+----------+
| sports ball    | 11.189 | 9.074   | 11.088   |
+----------------+--------+---------+----------+
| kite           | 44.442 | 38.704  | 40.734   |
+----------------+--------+---------+----------+
| baseball bat   | 2.401  | 1.729   | 1.830    |
+----------------+--------+---------+----------+
| baseball glove | 16.727 | 12.689  | 17.655   |
+----------------+--------+---------+----------+
| skateboard     | 15.378 | 12.886  | 13.373   |
+----------------+--------+---------+----------+
| surfboard      | 19.897 | 11.104  | 21.583   |
+----------------+--------+---------+----------+
| tennis racket  | 6.635  | 4.291   | 6.817    |
+----------------+--------+---------+----------+
| bottle         | 28.846 | 28.726  | 25.773   |
+----------------+--------+---------+----------+
| wine glass     | 31.024 | 32.066  | 20.677   |
+----------------+--------+---------+----------+
| cup            | 28.331 | 27.846  | 26.057   |
+----------------+--------+---------+----------+
| fork           | 9.090  | 10.184  | 7.660    |
+----------------+--------+---------+----------+
| knife          | 11.218 | 12.123  | 18.492   |
+----------------+--------+---------+----------+
| spoon          | 5.195  | 5.736   | 3.067    |
+----------------+--------+---------+----------+
| bowl           | 23.349 | 24.591  | 19.854   |
+----------------+--------+---------+----------+
| banana         | 73.381 | 72.598  | 71.507   |
+----------------+--------+---------+----------+
| apple          | 60.401 | 62.203  | 55.555   |
+----------------+--------+---------+----------+
| sandwich       | 47.692 | 49.072  | 41.218   |
+----------------+--------+---------+----------+
| orange         | 71.690 | 71.482  | 70.633   |
+----------------+--------+---------+----------+
| broccoli       | 60.426 | 60.981  | 56.776   |
+----------------+--------+---------+----------+
| carrot         | 54.951 | 52.063  | 46.430   |
+----------------+--------+---------+----------+
| hot dog        | 57.760 | 55.234  | 60.125   |
+----------------+--------+---------+----------+
| pizza          | 61.185 | 58.095  | 54.969   |
+----------------+--------+---------+----------+
| donut          | 71.340 | 68.726  | 61.163   |
+----------------+--------+---------+----------+
| cake           | 53.761 | 52.689  | 42.516   |
+----------------+--------+---------+----------+
| chair          | 32.748 | 30.939  | 24.139   |
+----------------+--------+---------+----------+
| couch          | 54.206 | 53.750  | 44.250   |
+----------------+--------+---------+----------+
| potted plant   | 39.919 | 37.488  | 27.433   |
+----------------+--------+---------+----------+
| bed            | 56.859 | 53.800  | 54.044   |
+----------------+--------+---------+----------+
| dining table   | 31.311 | 33.798  | 25.667   |
+----------------+--------+---------+----------+
| toilet         | 63.263 | 64.129  | 62.014   |
+----------------+--------+---------+----------+
| tv             | 51.461 | 52.761  | 49.165   |
+----------------+--------+---------+----------+
| laptop         | 59.131 | 55.929  | 55.774   |
+----------------+--------+---------+----------+
| mouse          | 10.901 | 8.005   | 8.680    |
+----------------+--------+---------+----------+
| remote         | 39.686 | 36.552  | 56.651   |
+----------------+--------+---------+----------+
| keyboard       | 43.972 | 31.088  | 41.843   |
+----------------+--------+---------+----------+
| cell phone     | 37.813 | 47.228  | 58.577   |
+----------------+--------+---------+----------+
| microwave      | 40.288 | 33.560  | 55.509   |
+----------------+--------+---------+----------+
| oven           | 39.813 | 37.392  | 36.201   |
+----------------+--------+---------+----------+
| toaster        | 16.494 | 9.643   | 0        |
+----------------+--------+---------+----------+
| sink           | 21.045 | 15.913  | 19.064   |
+----------------+--------+---------+----------+
| refrigerator   | 56.032 | 49.508  | 51.997   |
+----------------+--------+---------+----------+
| book           | 38.243 | 38.154  | 31.588   |
+----------------+--------+---------+----------+
| clock          | 31.282 | 36.854  | 32.972   |
+----------------+--------+---------+----------+
| vase           | 34.439 | 34.770  | 33.390   |
+----------------+--------+---------+----------+
| scissors       | 37.014 | 36.463  | 49.886   |
+----------------+--------+---------+----------+
| teddy bear     | 67.055 | 66.297  | 67.563   |
+----------------+--------+---------+----------+
| hair drier     | 14.422 | 11.430  | 10.011   |
+----------------+--------+---------+----------+
| toothbrush     | 27.018 | 20.152  | 29.323   |
+----------------+--------+---------+----------+
| mIoU           | 43.384 | 41.161  | 42.409   |
+----------------+--------+---------+----------+