方法1： python xxx.py > train.log 2>&1
实时查看日志
tail -f train.log
python
# 日志重定向到train.log文件。即在你的命令后加上：> train.log 2>&1
python xxx.py > train.log 2>&1
# 实时查看日志
tail -f train.logtrain.log里的文件内容
python
Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size
0%| | 0/33 [00:00<?, ?it/s]
1/100 16.8G 4.464 12.67 3.715 4.239 2330 640: 0%| | 0/33 [00:01<?, ?it/s]
1/100 16.8G 4.464 12.67 3.715 4.239 2330 640: 3%|▎ | 1/33 [00:01<00:42, 1.33s/it]
1/100 19.4G 4.406 12.2 3.687 4.232 2915 640: 3%|▎ | 1/33 [00:03<00:42, 1.33s/it]
1/100 19.4G 4.406 12.2 3.687 4.232 2915 640: 6%|▌ | 2/33 [00:03<01:04, 2.09s/it]
1/100 20.3G 4.591 12.37 3.696 4.234 2761 640: 6%|▌ | 2/33 [00:10<01:04, 2.09s/it]
1/100 20.3G 4.591 12.37 3.696 4.234 2761 640: 9%|▉ | 3/33 [00:10<02:01, 4.05s/it]
1/100 21.5G 4.599 12.7 3.704 4.237 2914 640: 9%|▉ | 3/33 [00:18<02:01, 4.05s/it]
1/100 21.5G 4.599 12.7 3.704 4.237 2914 640: 12%|█▏ | 4/33 [00:18<02:42, 5.60s/it]
1/100 21.5G 4.55 12.15 3.696 4.232 2699 640: 12%|█▏ | 4/33 [00:23<02:42, 5.60s/it]
1/100 21.5G 4.55 12.15 3.696 4.232 2699 640: 15%|█▌ | 5/33 [00:23<02:37, 5.62s/it]
1/100 21.5G 4.552 11.92 3.695 4.231 2938 640: 15%|█▌ | 5/33 [00:27<02:37, 5.62s/it]
1/100 21.5G 4.552 11.92 3.695 4.231 2938 640: 18%|█▊ | 6/33 [00:27<02:11, 4.85s/it]
1/100 21.5G 4.543 12.13 3.701 4.231 2150 640: 18%|█▊ | 6/33 [00:28<02:11, 4.85s/it]
1/100 21.5G 4.543 12.13 3.701 4.231 2150 640: 21%|██ | 7/33 [00:28<01:37, 3.76s/it]
1/100 21.5G 4.586 11.92 3.701 4.231 2933 640: 21%|██ | 7/33 [00:31<01:37, 3.76s/it]
1/100 21.5G 4.586 11.92 3.701 4.231 2933 640: 24%|██▍ | 8/33 [00:31<01:23, 3.34s/it]
1/100 21.5G 4.586 12.18 3.701 4.232 2763 640: 24%|██▍ | 8/33 [00:32<01:23, 3.34s/it]
1/100 21.5G 4.586 12.18 3.701 4.232 2763 640: 27%|██▋ | 9/33 [00:32<01:02, 2.61s/it]
1/100 21.5G 4.583 12.36 3.7 4.234 2592 640: 27%|██▋ | 9/33 [00:33<01:02, 2.61s/it]
1/100 21.5G 4.583 12.36 3.7 4.234 2592 640: 30%|███ | 10/33 [00:33<00:47, 2.08s/it]
1/100 21.5G 4.564 12.3 3.698 4.232 2713 640: 30%|███ | 10/33 [00:34<00:47, 2.08s/it]
1/100 21.5G 4.564 12.3 3.698 4.232 2713 640: 33%|███▎ | 11/33 [00:34<00:39, 1.81s/it]
1/100 21.5G 4.539 12.23 3.698 4.231 2435 640: 33%|███▎ | 11/33 [00:35<00:39, 1.81s/it]
1/100 21.5G 4.539 12.23 3.698 4.231 2435 640: 36%|███▋ | 12/33 [00:35<00:35, 1.68s/it]
1/100 21.5G 4.53 12.1 3.697 4.232 2305 640: 36%|███▋ | 12/33 [00:37<00:35, 1.68s/it]
1/100 21.5G 4.53 12.1 3.697 4.232 2305 640: 39%|███▉ | 13/33 [00:37<00:31, 1.57s/it]
1/100 21.5G 4.533 11.93 3.699 4.231 2460 640: 39%|███▉ | 13/33 [00:39<00:31, 1.57s/it]
1/100 21.5G 4.533 11.93 3.699 4.231 2460 640: 42%|████▏ | 14/33 [00:39<00:35, 1.87s/it]
1/100 21.5G 4.544 11.75 3.699 4.23 2711 640: 42%|████▏ | 14/33 [00:41<00:35, 1.87s/it]
1/100 21.5G 4.544 11.75 3.699 4.23 2711 640: 45%|████▌ | 15/33 [00:41<00:31, 1.76s/it]
1/100 21.5G 4.537 11.6 3.699 4.23 2297 640: 45%|████▌ | 15/33 [00:42<00:31, 1.76s/it]
1/100 21.5G 4.537 11.6 3.699 4.23 2297 640: 48%|████▊ | 16/33 [00:42<00:28, 1.68s/it]
1/100 21.5G 4.542 11.41 3.699 4.23 2375 640: 48%|████▊ | 16/33 [00:44<00:28, 1.68s/it]
1/100 21.5G 4.542 11.41 3.699 4.23 2375 640: 52%|█████▏ | 17/33 [00:44<00:26, 1.69s/it]
1/100 21.5G 4.528 11.19 3.696 4.229 2469 640: 52%|█████▏ | 17/33 [00:46<00:26, 1.69s/it]
1/100 21.5G 4.528 11.19 3.696 4.229 2469 640: 55%|█████▍ | 18/33 [00:46<00:26, 1.75s/it]
1/100 21.5G 4.517 10.97 3.695 4.228 2261 640: 55%|█████▍ | 18/33 [00:47<00:26, 1.75s/it]
1/100 21.5G 4.517 10.97 3.695 4.228 2261 640: 58%|█████▊ | 19/33 [00:47<00:24, 1.74s/it]
1/100 21.5G 4.518 10.77 3.694 4.228 2528 640: 58%|█████▊ | 19/33 [00:50<00:24, 1.74s/it]
1/100 21.5G 4.518 10.77 3.694 4.228 2528 640: 61%|██████ | 20/33 [00:50<00:24, 1.91s/it]
1/100 21.5G 4.525 10.59 3.693 4.227 2688 640: 61%|██████ | 20/33 [00:52<00:24, 1.91s/it]
1/100 21.5G 4.525 10.59 3.693 4.227 2688 640: 64%|██████▎ | 21/33 [00:52<00:23, 1.99s/it]
1/100 21.5G 4.537 10.36 3.693 4.225 2774 640: 64%|██████▎ | 21/33 [00:54<00:23, 1.99s/it]
1/100 21.5G 4.537 10.36 3.693 4.225 2774 640: 67%|██████▋ | 22/33 [00:54<00:22, 2.09s/it]
1/100 21.5G 4.545 10.21 3.692 4.224 2493 640: 67%|██████▋ | 22/33 [00:56<00:22, 2.09s/it]
1/100 21.5G 4.545 10.21 3.692 4.224 2493 640: 70%|██████▉ | 23/33 [00:56<00:20, 2.09s/it]
1/100 21.5G 4.552 10.07 3.691 4.223 2706 640: 70%|██████▉ | 23/33 [00:58<00:20, 2.09s/it]
1/100 21.5G 4.552 10.07 3.691 4.223 2706 640: 73%|███████▎ | 24/33 [00:58<00:17, 1.97s/it]
1/100 21.5G 4.558 9.918 3.69 4.221 2489 640: 73%|███████▎ | 24/33 [01:00<00:17, 1.97s/it]
1/100 21.5G 4.558 9.918 3.69 4.221 2489 640: 76%|███████▌ | 25/33 [01:00<00:16, 2.01s/it]
1/100 21.5G 4.553 9.78 3.688 4.22 2478 640: 76%|███████▌ | 25/33 [01:02<00:16, 2.01s/it]
1/100 21.5G 4.553 9.78 3.688 4.22 2478 640: 79%|███████▉ | 26/33 [01:02<00:14, 2.04s/it]
1/100 21.5G 4.555 9.626 3.687 4.219 2559 640: 79%|███████▉ | 26/33 [01:05<00:14, 2.04s/it]
1/100 21.5G 4.555 9.626 3.687 4.219 2559 640: 82%|████████▏ | 27/33 [01:05<00:12, 2.12s/it]
1/100 21.5G 4.55 9.478 3.684 4.217 2248 640: 82%|████████▏ | 27/33 [01:07<00:12, 2.12s/it]
1/100 21.5G 4.55 9.478 3.684 4.217 2248 640: 85%|████████▍ | 28/33 [01:07<00:10, 2.11s/it]
1/100 21.5G 4.549 9.335 3.682 4.215 2389 640: 85%|████████▍ | 28/33 [01:09<00:10, 2.11s/it]
1/100 21.5G 4.549 9.335 3.682 4.215 2389 640: 88%|████████▊ | 29/33 [01:09<00:08, 2.14s/it]
1/100 21.5G 4.551 9.192 3.68 4.213 2353 640: 88%|████████▊ | 29/33 [01:11<00:08, 2.14s/it]
1/100 21.5G 4.551 9.192 3.68 4.213 2353 640: 91%|█████████ | 30/33 [01:11<00:06, 2.22s/it]
1/100 21.5G 4.553 9.056 3.677 4.212 2481 640: 91%|█████████ | 30/33 [01:14<00:06, 2.22s/it]
1/100 21.5G 4.553 9.056 3.677 4.212 2481 640: 94%|█████████▍| 31/33 [01:14<00:04, 2.24s/it]
1/100 21.5G 4.549 8.927 3.674 4.21 2308 640: 94%|█████████▍| 31/33 [01:16<00:04, 2.24s/it]
1/100 21.5G 4.549 8.927 3.674 4.21 2308 640: 97%|█████████▋| 32/33 [01:16<00:02, 2.17s/it]
1/100 21.5G 4.552 8.805 3.67 4.207 1777 640: 97%|█████████▋| 32/33 [01:23<00:02, 2.17s/it]
1/100 21.5G 4.552 8.805 3.67 4.207 1777 640: 100%|██████████| 33/33 [01:23<00:00, 3.68s/it]
1/100 21.5G 4.552 8.805 3.67 4.207 1777 640: 100%|██████████| 33/33 [01:23<00:00, 2.52s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 0%| | 0/3 [00:00<?, ?it/s]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 33%|███▎ | 1/3 [00:06<00:12, 6.19s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 67%|██████▋ | 2/3 [00:08<00:03, 3.99s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| 3/3 [00:09<00:00, 2.39s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| 3/3 [00:09<00:00, 3.04s/it] all 261 5766 0.00654 0.0888 0.00356 0.00118 0.00194 0.0264 0.000996 0.000198
Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size
0%| | 0/33 [00:00<?, ?it/s]
2/100 18.5G 4.301 5.109 3.531 4.132 2697 640: 0%| | 0/33 [00:00<?, ?it/s]
2/100 18.5G 4.301 5.109 3.531 4.132 2697 640: 3%|▎ | 1/33 [00:00<00:16, 1.91it/s]
2/100 20.1G 4.371 4.883 3.548 4.124 2514 640: 3%|▎ | 1/33 [00:01<00:16, 1.91it/s]
2/100 20.1G 4.371 4.883 3.548 4.124 2514 640: 6%|▌ | 2/33 [00:01<00:18, 1.65it/s]
2/100 20.1G 4.419 4.781 3.539 4.114 2562 640: 6%|▌ | 2/33 [00:02<00:18, 1.65it/s]
2/100 20.1G 4.419 4.781 3.539 4.114 2562 640: 9%|▉ | 3/33 [00:02<00:22, 1.35it/s]
2/100 20.1G 4.466 4.714 3.52 4.102 2602 640: 9%|▉ | 3/33 [00:03<00:22, 1.35it/s]
2/100 20.1G 4.466 4.714 3.52 4.102 2602 640: 12%|█▏ | 4/33 [00:03<00:26, 1.10it/s]
2/100 20.1G 4.468 4.643 3.497 4.088 2388 640: 12%|█▏ | 4/33 [00:04<00:26, 1.10it/s]
2/100 20.1G 4.468 4.643 3.497 4.088 2388 640: 15%|█▌ | 5/33 [00:04<00:29, 1.06s/it]
2/100 21.3G 4.44 4.581 3.475 4.073 2481 640: 15%|█▌ | 5/33 [00:05<00:29, 1.06s/it]
2/100 21.3G 4.44 4.581 3.475 4.073 2481 640: 18%|█▊ | 6/33 [00:05<00:31, 1.17s/it]
2/100 21.3G 4.425 4.541 3.454 4.058 2475 640: 18%|█▊ | 6/33 [00:07<00:31, 1.17s/it]
2/100 21.3G 4.425 4.541 3.454 4.058 2475 640: 21%|██ | 7/33 [00:07<00:32, 1.25s/it]
2/100 21.3G 4.4 4.497 3.432 4.045 2610 640: 21%|██ | 7/33 [00:08<00:32, 1.25s/it]
2/100 21.3G 4.4 4.497 3.432 4.045 2610 640: 24%|██▍ | 8/33 [00:08<00:33, 1.36s/it]
2/100 21.3G 4.368 4.464 3.407 4.026 2650 640: 24%|██▍ | 8/33 [00:10<00:33, 1.36s/it]
2/100 21.3G 4.368 4.464 3.407 4.026 2650 640: 27%|██▋ | 9/33 [00:10<00:37, 1.55s/it]
2/100 21.3G 4.363 4.445 3.382 4.006 2664 640: 27%|██▋ | 9/33 [00:12<00:37, 1.55s/it]
2/100 21.3G 4.363 4.445 3.382 4.006 2664 640: 30%|███ | 10/33 [00:12<00:38, 1.66s/it]
2/100 21.3G 4.338 4.409 3.355 3.988 2694 640: 30%|███ | 10/33 [00:14<00:38, 1.66s/it]
2/100 21.3G 4.338 4.409 3.355 3.988 2694 640: 33%|███▎ | 11/33 [00:14<00:38, 1.77s/it]
2/100 21.3G 4.301 4.372 3.325 3.966 2204 640: 33%|███▎ | 11/33 [00:16<00:38, 1.77s/it]
2/100 21.3G 4.301 4.372 3.325 3.966 2204 640: 36%|███▋ | 12/33 [00:16<00:36, 1.75s/it]
2/100 21.3G 4.269 4.335 3.292 3.938 2449 640: 36%|███▋ | 12/33 [00:18<00:36, 1.75s/it]
2/100 21.3G 4.269 4.335 3.292 3.938 2449 640: 39%|███▉ | 13/33 [00:18<00:35, 1.79s/it]
2/100 21.3G 4.234 4.305 3.255 3.914 2536 640: 39%|███▉ | 13/33 [00:20<00:35, 1.79s/it]
2/100 21.3G 4.234 4.305 3.255 3.914 2536 640: 42%|████▏ | 14/33 [00:20<00:36, 1.92s/it]
2/100 21.3G 4.196 4.275 3.22 3.89 2521 640: 42%|████▏ | 14/33 [00:22<00:36, 1.92s/it]
2/100 21.3G 4.196 4.275 3.22 3.89 2521 640: 45%|████▌ | 15/33 [00:22<00:36, 2.00s/it]
2/100 21.3G 4.149 4.247 3.181 3.868 2589 640: 45%|████▌ | 15/33 [00:24<00:36, 2.00s/it]
2/100 21.3G 4.149 4.247 3.181 3.868 2589 640: 48%|████▊ | 16/33 [00:24<00:34, 2.00s/it]
2/100 21.3G 4.101 4.214 3.136 3.841 2536 640: 48%|████▊ | 16/33 [00:27<00:34, 2.00s/it]
2/100 21.3G 4.101 4.214 3.136 3.841 2536 640: 52%|█████▏ | 17/33 [00:27<00:32, 2.06s/it]
2/100 21.3G 4.055 4.179 3.09 3.81 2649 640: 52%|█████▏ | 17/33 [00:29<00:32, 2.06s/it]
2/100 21.3G 4.055 4.179 3.09 3.81 2649 640: 55%|█████▍ | 18/33 [00:29<00:31, 2.07s/it]
2/100 21.3G 4.011 4.149 3.05 3.783 2570 640: 55%|█████▍ | 18/33 [00:31<00:31, 2.07s/it]
2/100 21.3G 4.011 4.149 3.05 3.783 2570 640: 58%|█████▊ | 19/33 [00:31<00:29, 2.08s/it]
2/100 21.3G 3.961 4.116 3.006 3.749 2592 640: 58%|█████▊ | 19/33 [00:33<00:29, 2.08s/it]
2/100 21.3G 3.961 4.116 3.006 3.749 2592 640: 61%|██████ | 20/33 [00:33<00:28, 2.17s/it]
2/100 21.3G 3.915 4.075 2.965 3.718 2730 640: 61%|██████ | 20/33 [00:35<00:28, 2.17s/it]
2/100 21.3G 3.915 4.075 2.965 3.718 2730 640: 64%|██████▎ | 21/33 [00:35<00:25, 2.15s/it]
2/100 21.3G 3.867 4.033 2.925 3.685 2417 640: 64%|██████▎ | 21/33 [00:38<00:25, 2.15s/it]
2/100 21.3G 3.867 4.033 2.925 3.685 2417 640: 67%|██████▋ | 22/33 [00:38<00:24, 2.20s/it]
2/100 21.3G 3.825 4 2.894 3.658 2431 640: 67%|██████▋ | 22/33 [00:40<00:24, 2.20s/it]
2/100 21.3G 3.825 4 2.894 3.658 2431 640: 70%|██████▉ | 23/33 [00:40<00:22, 2.26s/it]
2/100 21.3G 3.781 3.965 2.856 3.628 2451 640: 70%|██████▉ | 23/33 [00:42<00:22, 2.26s/it]
2/100 21.3G 3.781 3.965 2.856 3.628 2451 640: 73%|███████▎ | 24/33 [00:42<00:20, 2.24s/it]
2/100 21.3G 3.738 3.937 2.826 3.596 2679 640: 73%|███████▎ | 24/33 [00:44<00:20, 2.24s/it]
2/100 21.3G 3.738 3.937 2.826 3.596 2679 640: 76%|███████▌ | 25/33 [00:44<00:17, 2.23s/it]
2/100 21.3G 3.701 3.904 2.803 3.576 2209 640: 76%|███████▌ | 25/33 [00:47<00:17, 2.23s/it]
2/100 21.3G 3.701 3.904 2.803 3.576 2209 640: 79%|███████▉ | 26/33 [00:47<00:15, 2.22s/it]
2/100 21.3G 3.661 3.877 2.773 3.549 2446 640: 79%|███████▉ | 26/33 [00:49<00:15, 2.22s/it]
2/100 21.3G 3.661 3.877 2.773 3.549 2446 640: 82%|████████▏ | 27/33 [00:49<00:13, 2.24s/it]
2/100 21.3G 3.62 3.849 2.744 3.524 2142 640: 82%|████████▏ | 27/33 [00:51<00:13, 2.24s/it]
2/100 21.3G 3.62 3.849 2.744 3.524 2142 640: 85%|████████▍ | 28/33 [00:51<00:11, 2.26s/it]
2/100 21.3G 3.582 3.821 2.713 3.495 2769 640: 85%|████████▍ | 28/33 [00:53<00:11, 2.26s/it]
2/100 21.3G 3.582 3.821 2.713 3.495 2769 640: 88%|████████▊ | 29/33 [00:53<00:08, 2.21s/it]
2/100 21.3G 3.548 3.792 2.688 3.469 2119 640: 88%|████████▊ | 29/33 [00:55<00:08, 2.21s/it]
2/100 21.3G 3.548 3.792 2.688 3.469 2119 640: 91%|█████████ | 30/33 [00:55<00:06, 2.12s/it]
2/100 21.3G 3.517 3.761 2.656 3.438 2564 640: 91%|█████████ | 30/33 [00:57<00:06, 2.12s/it]
2/100 21.3G 3.517 3.761 2.656 3.438 2564 640: 94%|█████████▍| 31/33 [00:57<00:04, 2.15s/it]
2/100 21.3G 3.483 3.735 2.63 3.411 2574 640: 94%|█████████▍| 31/33 [01:00<00:04, 2.15s/it]
2/100 21.3G 3.483 3.735 2.63 3.411 2574 640: 97%|█████████▋| 32/33 [01:00<00:02, 2.22s/it]
2/100 21.3G 3.452 3.711 2.606 3.385 1742 640: 97%|█████████▋| 32/33 [01:01<00:02, 2.22s/it]
2/100 21.3G 3.452 3.711 2.606 3.385 1742 640: 100%|██████████| 33/33 [01:01<00:00, 2.04s/it]
2/100 21.3G 3.452 3.711 2.606 3.385 1742 640: 100%|██████████| 33/33 [01:01<00:00, 1.88s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 0%| | 0/3 [00:00<?, ?it/s]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 33%|███▎ | 1/3 [00:05<00:11, 5.79s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 67%|██████▋ | 2/3 [00:10<00:05, 5.26s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| 3/3 [00:11<00:00, 3.01s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| 3/3 [00:11<00:00, 3.67s/it] all 261 5766 0.0222 0.301 0.0203 0.00729 0.0138 0.187 0.0106 0.00323
Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size
0%| | 0/33 [00:00<?, ?it/s]
3/100 17.8G 2.245 2.698 1.652 2.319 2562 640: 0%| | 0/33 [00:00<?, ?it/s]
3/100 17.8G 2.245 2.698 1.652 2.319 2562 640: 3%|▎ | 1/33 [00:00<00:19, 1.66it/s]
3/100 19.3G 2.262 2.763 1.659 2.288 2581 640: 3%|▎ | 1/33 [00:01<00:19, 1.66it/s]
3/100 19.3G 2.262 2.763 1.659 2.288 2581 640: 6%|▌ | 2/33 [00:01<00:19, 1.57it/s]
3/100 19.3G 2.269 2.809 1.639 2.279 2763 640: 6%|▌ | 2/33 [00:02<00:19, 1.57it/s]
3/100 19.3G 2.269 2.809 1.639 2.279 2763 640: 9%|▉ | 3/33 [00:02<00:24, 1.24it/s]
3/100 19.3G 2.247 2.828 1.637 2.31 2706 640: 9%|▉ | 3/33 [00:03<00:24, 1.24it/s]
3/100 19.3G 2.247 2.828 1.637 2.31 2706 640: 12%|█▏ | 4/33 [00:03<00:26, 1.10it/s]
3/100 19.3G 2.223 2.857 1.634 2.312 2288 640: 12%|█▏ | 4/33 [00:04<00:26, 1.10it/s]
3/100 19.3G 2.223 2.857 1.634 2.312 2288 640: 15%|█▌ | 5/33 [00:04<00:28, 1.02s/it]
3/100 20.4G 2.192 2.834 1.623 2.305 2295 640: 15%|█▌ | 5/33 [00:05<00:28, 1.02s/it]
3/100 20.4G 2.192 2.834 1.623 2.305 2295 640: 18%|█▊ | 6/33 [00:05<00:30, 1.14s/it]
3/100 20.4G 2.175 2.827 1.605 2.296 2277 640: 18%|█▊ | 6/33 [00:07<00:30, 1.14s/it]
3/100 20.4G 2.175 2.827 1.605 2.296 2277 640: 21%|██ | 7/33 [00:07<00:31, 1.20s/it]
3/100 20.4G 2.152 2.813 1.592 2.283 2483 640: 21%|██ | 7/33 [00:08<00:31, 1.20s/it]
3/100 20.4G 2.152 2.813 1.592 2.283 2483 640: 24%|██▍ | 8/33 [00:08<00:33, 1.32s/it]
3/100 20.4G 2.147 2.791 1.576 2.268 2603 640: 24%|██▍ | 8/33 [00:10<00:33, 1.32s/it]
3/100 20.4G 2.147 2.791 1.576 2.268 2603 640: 27%|██▋ | 9/33 [00:10<00:33, 1.38s/it]
3/100 20.4G 2.14 2.775 1.572 2.259 2577 640: 27%|██▋ | 9/33 [00:12<00:33, 1.38s/it]
3/100 20.4G 2.14 2.775 1.572 2.259 2577 640: 30%|███ | 10/33 [00:12<00:34, 1.51s/it]
3/100 20.4G 2.123 2.754 1.556 2.249 2324 640: 30%|███ | 10/33 [00:13<00:34, 1.51s/it]
3/100 20.4G 2.123 2.754 1.556 2.249 2324 640: 33%|███▎ | 11/33 [00:13<00:34, 1.57s/it]
3/100 20.4G 2.101 2.735 1.549 2.23 2636 640: 33%|███▎ | 11/33 [00:15<00:34, 1.57s/it]
3/100 20.4G 2.101 2.735 1.549 2.23 2636 640: 36%|███▋ | 12/33 [00:15<00:35, 1.70s/it]
3/100 20.4G 2.078 2.729 1.529 2.207 2590 640: 36%|███▋ | 12/33 [00:18<00:35, 1.70s/it]
3/100 20.4G 2.078 2.729 1.529 2.207 2590 640: 39%|███▉ | 13/33 [00:18<00:37, 1.85s/it]
3/100 20.4G 2.064 2.722 1.513 2.194 2589 640: 39%|███▉ | 13/33 [00:20<00:37, 1.85s/it]
3/100 20.4G 2.064 2.722 1.513 2.194 2589 640: 42%|████▏ | 14/33 [00:20<00:39, 2.11s/it]
3/100 20.4G 2.055 2.713 1.499 2.18 2701 640: 42%|████▏ | 14/33 [00:22<00:39, 2.11s/it]
3/100 20.4G 2.055 2.713 1.499 2.18 2701 640: 45%|████▌ | 15/33 [00:22<00:36, 2.05s/it]
3/100 21.5G 2.04 2.699 1.486 2.169 2482 640: 45%|████▌ | 15/33 [00:24<00:36, 2.05s/it]
3/100 21.5G 2.04 2.699 1.486 2.169 2482 640: 48%|████▊ | 16/33 [00:24<00:35, 2.07s/it]
3/100 21.5G 2.032 2.689 1.476 2.16 2301 640: 48%|████▊ | 16/33 [00:26<00:35, 2.07s/it]
3/100 21.5G 2.032 2.689 1.476 2.16 2301 640: 52%|█████▏ | 17/33 [00:26<00:33, 2.10s/it]
3/100 21.5G 2.017 2.682 1.462 2.144 2569 640: 52%|█████▏ | 17/33 [00:29<00:33, 2.10s/it]
3/100 21.5G 2.017 2.682 1.462 2.144 2569 640: 55%|█████▍ | 18/33 [00:29<00:31, 2.13s/it]
3/100 21.5G 2.007 2.678 1.454 2.131 2457 640: 55%|█████▍ | 18/33 [00:31<00:31, 2.13s/it]
3/100 21.5G 2.007 2.678 1.454 2.131 2457 640: 58%|█████▊ | 19/33 [00:31<00:28, 2.06s/it]
3/100 21.5G 1.992 2.659 1.439 2.118 2497 640: 58%|█████▊ | 19/33 [00:33<00:28, 2.06s/it]
3/100 21.5G 1.992 2.659 1.439 2.118 2497 640: 61%|██████ | 20/33 [00:33<00:26, 2.04s/it]
3/100 21.5G 1.988 2.642 1.435 2.107 2255 640: 61%|██████ | 20/33 [00:35<00:26, 2.04s/it]
3/100 21.5G 1.988 2.642 1.435 2.107 2255 640: 64%|██████▎ | 21/33 [00:35<00:24, 2.06s/it]
3/100 21.5G 1.976 2.636 1.425 2.095 2647 640: 64%|██████▎ | 21/33 [00:37<00:24, 2.06s/it]
3/100 21.5G 1.976 2.636 1.425 2.095 2647 640: 67%|██████▋ | 22/33 [00:37<00:22, 2.04s/it]
3/100 21.5G 1.964 2.629 1.418 2.085 2568 640: 67%|██████▋ | 22/33 [00:39<00:22, 2.04s/it]
3/100 21.5G 1.964 2.629 1.418 2.085 2568 640: 70%|██████▉ | 23/33 [00:39<00:21, 2.12s/it]
3/100 22.7G 1.948 2.616 1.406 2.07 2635 640: 70%|██████▉ | 23/33 [00:41<00:21, 2.12s/it]
3/100 22.7G 1.948 2.616 1.406 2.07 2635 640: 73%|███████▎ | 24/33 [00:41<00:18, 2.09s/it]
3/100 22.7G 1.938 2.615 1.4 2.057 2602 640: 73%|███████▎ | 24/33 [00:43<00:18, 2.09s/it]
3/100 22.7G 1.938 2.615 1.4 2.057 2602 640: 76%|███████▌ | 25/33 [00:43<00:16, 2.09s/it]
3/100 22.7G 1.92 2.601 1.387 2.04 2662 640: 76%|███████▌ | 25/33 [00:45<00:16, 2.09s/it]
3/100 22.7G 1.92 2.601 1.387 2.04 2662 640: 79%|███████▉ | 26/33 [00:45<00:14, 2.12s/it]
3/100 22.7G 1.913 2.59 1.377 2.029 2371 640: 79%|███████▉ | 26/33 [00:48<00:14, 2.12s/it]
3/100 22.7G 1.913 2.59 1.377 2.029 2371 640: 82%|████████▏ | 27/33 [00:48<00:13, 2.20s/it]
3/100 22.7G 1.898 2.582 1.368 2.016 2446 640: 82%|████████▏ | 27/33 [00:50<00:13, 2.20s/it]
3/100 22.7G 1.898 2.582 1.368 2.016 2446 640: 85%|████████▍ | 28/33 [00:50<00:11, 2.29s/it]
3/100 22.7G 1.892 2.577 1.358 2.003 2959 640: 85%|████████▍ | 28/33 [00:52<00:11, 2.29s/it]
3/100 22.7G 1.892 2.577 1.358 2.003 2959 640: 88%|████████▊ | 29/33 [00:52<00:08, 2.18s/it]
3/100 22.7G 1.878 2.563 1.348 1.991 2404 640: 88%|████████▊ | 29/33 [00:54<00:08, 2.18s/it]
3/100 22.7G 1.878 2.563 1.348 1.991 2404 640: 91%|█████████ | 30/33 [00:54<00:06, 2.21s/it]
3/100 22.7G 1.876 2.557 1.342 1.986 2407 640: 91%|█████████ | 30/33 [00:56<00:06, 2.21s/it]
3/100 22.7G 1.876 2.557 1.342 1.986 2407 640: 94%|█████████▍| 31/33 [00:56<00:04, 2.12s/it]
3/100 22.7G 1.864 2.548 1.334 1.974 2600 640: 94%|█████████▍| 31/33 [00:58<00:04, 2.12s/it]
3/100 22.7G 1.864 2.548 1.334 1.974 2600 640: 97%|█████████▋| 32/33 [00:58<00:02, 2.11s/it]
3/100 22.7G 1.858 2.54 1.328 1.966 1466 640: 97%|█████████▋| 32/33 [01:00<00:02, 2.11s/it]
3/100 22.7G 1.858 2.54 1.328 1.966 1466 640: 100%|██████████| 33/33 [01:00<00:00, 1.93s/it]
3/100 22.7G 1.858 2.54 1.328 1.966 1466 640: 100%|██████████| 33/33 [01:00<00:00, 1.83s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 0%| | 0/3 [00:00<?, ?it/s]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 33%|███▎ | 1/3 [00:05<00:11, 5.83s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 67%|██████▋ | 2/3 [00:10<00:05, 5.27s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| 3/3 [00:10<00:00, 2.96s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| 3/3 [00:10<00:00, 3.64s/it] all 261 5766 0.767 0.442 0.592 0.374 0.765 0.434 0.574 0.332
Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size
0%| | 0/33 [00:00<?, ?it/s]
4/100 17.7G 1.391 2.172 1.013 1.534 2491 640: 0%| | 0/33 [00:00<?, ?it/s]
4/100 17.7G 1.391 2.172 1.013 1.534 2491 640: 3%|▎ | 1/33 [00:00<00:19, 1.67it/s]
4/100 18.5G 1.531 2.238 1.053 1.639 2353 640: 3%|▎ | 1/33 [00:01<00:19, 1.67it/s]
4/100 18.5G 1.531 2.238 1.053 1.639 2353 640: 6%|▌ | 2/33 [00:01<00:21, 1.43it/s]
4/100 19.4G 1.48 2.248 1.037 1.595 2630 640: 6%|▌ | 2/33 [00:02<00:21, 1.43it/s]
4/100 19.4G 1.48 2.248 1.037 1.595 2630 640: 9%|▉ | 3/33 [00:02<00:24, 1.25it/s]
4/100 20.4G 1.5 2.274 1.038 1.605 2544 640: 9%|▉ | 3/33 [00:03<00:24, 1.25it/s]
4/100 20.4G 1.5 2.274 1.038 1.605 2544 640: 12%|█▏ | 4/33 [00:03<00:27, 1.05it/s]
4/100 20.4G 1.495 2.253 1.035 1.599 2345 640: 12%|█▏ | 4/33 [00:04<00:27, 1.05it/s]
4/100 20.4G 1.495 2.253 1.035 1.599 2345 640: 15%|█▌ | 5/33 [00:04<00:28, 1.01s/it]
4/100 20.4G 1.502 2.244 1.038 1.606 2266 640: 15%|█▌ | 5/33 [00:05<00:28, 1.01s/it]
4/100 20.4G 1.502 2.244 1.038 1.606 2266 640: 18%|█▊ | 6/33 [00:05<00:29, 1.11s/it]
4/100 20.4G 1.494 2.236 1.033 1.602 2325 640: 18%|█▊ | 6/33 [00:07<00:29, 1.11s/it]
4/100 20.4G 1.494 2.236 1.033 1.602 2325 640: 21%|██ | 7/33 [00:07<00:32, 1.23s/it]
4/100 20.4G 1.475 2.234 1.023 1.581 2798 640: 21%|██ | 7/33 [00:08<00:32, 1.23s/it]
4/100 20.4G 1.475 2.234 1.023 1.581 2798 640: 24%|██▍ | 8/33 [00:08<00:32, 1.29s/it]
4/100 20.4G 1.458 2.223 1.011 1.561 2746 640: 24%|██▍ | 8/33 [00:10<00:32, 1.29s/it]
4/100 20.4G 1.458 2.223 1.011 1.561 2746 640: 27%|██▋ | 9/33 [00:10<00:34, 1.42s/it]
4/100 21.5G 1.452 2.213 1.005 1.556 2333 640: 27%|██▋ | 9/33 [00:12<00:34, 1.42s/it]
4/100 21.5G 1.452 2.213 1.005 1.556 2333 640: 30%|███ | 10/33 [00:12<00:35, 1.53s/it]
4/100 21.5G 1.44 2.203 0.9997 1.543 2564 640: 30%|███ | 10/33 [00:14<00:35, 1.53s/it]
4/100 21.5G 1.44 2.203 0.9997 1.543 2564 640: 33%|███▎ | 11/33 [00:14<00:35, 1.61s/it]
4/100 21.5G 1.439 2.208 0.9971 1.539 2586 640: 33%|███▎ | 11/33 [00:16<00:35, 1.61s/it]
4/100 21.5G 1.439 2.208 0.9971 1.539 2586 640: 36%|███▋ | 12/33 [00:16<00:38, 1.85s/it]
4/100 21.5G 1.426 2.2 0.9888 1.528 2548 640: 36%|███▋ | 12/33 [00:18<00:38, 1.85s/it]
4/100 21.5G 1.426 2.2 0.9888 1.528 2548 640: 39%|███▉ | 13/33 [00:18<00:37, 1.87s/it]
4/100 21.5G 1.428 2.201 0.9853 1.522 2794 640: 39%|███▉ | 13/33 [00:20<00:37, 1.87s/it]
4/100 21.5G 1.428 2.201 0.9853 1.522 2794 640: 42%|████▏ | 14/33 [00:20<00:38, 2.03s/it]
4/100 21.5G 1.419 2.195 0.9808 1.516 2653 640: 42%|████▏ | 14/33 [00:23<00:38, 2.03s/it]
4/100 21.5G 1.419 2.195 0.9808 1.516 2653 640: 45%|████▌ | 15/33 [00:23<00:37, 2.11s/it]
4/100 21.5G 1.42 2.181 0.9782 1.515 2311 640: 45%|████▌ | 15/33 [00:25<00:37, 2.11s/it]
4/100 21.5G 1.42 2.181 0.9782 1.515 2311 640: 48%|████▊ | 16/33 [00:25<00:36, 2.14s/it]
4/100 21.5G 1.414 2.173 0.9733 1.512 2457 640: 48%|████▊ | 16/33 [00:27<00:36, 2.14s/it]
4/100 21.5G 1.414 2.173 0.9733 1.512 2457 640: 52%|█████▏ | 17/33 [00:27<00:34, 2.16s/it]
4/100 21.5G 1.408 2.165 0.969 1.504 2752 640: 52%|█████▏ | 17/33 [00:29<00:34, 2.16s/it]
4/100 21.5G 1.408 2.165 0.969 1.504 2752 640: 55%|█████▍ | 18/33 [00:29<00:31, 2.11s/it]
4/100 21.5G 1.403 2.156 0.9661 1.5 2404 640: 55%|█████▍ | 18/33 [00:31<00:31, 2.11s/it]
4/100 21.5G 1.403 2.156 0.9661 1.5 2404 640: 58%|█████▊ | 19/33 [00:31<00:29, 2.13s/it]
4/100 21.5G 1.395 2.141 0.9603 1.492 2343 640: 58%|█████▊ | 19/33 [00:33<00:29, 2.13s/it]
4/100 21.5G 1.395 2.141 0.9603 1.492 2343 640: 61%|██████ | 20/33 [00:33<00:28, 2.16s/it]
4/100 21.5G 1.393 2.136 0.9582 1.49 2541 640: 61%|██████ | 20/33 [00:35<00:28, 2.16s/it]
4/100 21.5G 1.393 2.136 0.9582 1.49 2541 640: 64%|██████▎ | 21/33 [00:35<00:24, 2.08s/it]
4/100 21.5G 1.383 2.125 0.9522 1.48 2596 640: 64%|██████▎ | 21/33 [00:38<00:24, 2.08s/it]
4/100 21.5G 1.383 2.125 0.9522 1.48 2596 640: 67%|██████▋ | 22/33 [00:38<00:23, 2.15s/it]
4/100 21.5G 1.379 2.123 0.949 1.476 2406 640: 67%|██████▋ | 22/33 [00:40<00:23, 2.15s/it]
4/100 21.5G 1.379 2.123 0.949 1.476 2406 640: 70%|██████▉ | 23/33 [00:40<00:21, 2.19s/it]
4/100 21.5G 1.371 2.117 0.9437 1.469 2594 640: 70%|██████▉ | 23/33 [00:42<00:21, 2.19s/it]
4/100 21.5G 1.371 2.117 0.9437 1.469 2594 640: 73%|███████▎ | 24/33 [00:42<00:19, 2.16s/it]
4/100 21.5G 1.366 2.113 0.9403 1.465 2664 640: 73%|███████▎ | 24/33 [00:44<00:19, 2.16s/it]
4/100 21.5G 1.366 2.113 0.9403 1.465 2664 640: 76%|███████▌ | 25/33 [00:44<00:17, 2.15s/it]
4/100 21.5G 1.36 2.105 0.9366 1.461 2373 640: 76%|███████▌ | 25/33 [00:46<00:17, 2.15s/it]
4/100 21.5G 1.36 2.105 0.9366 1.461 2373 640: 79%|███████▉ | 26/33 [00:46<00:15, 2.16s/it]
4/100 21.5G 1.354 2.097 0.9336 1.455 2732 640: 79%|███████▉ | 26/33 [00:49<00:15, 2.16s/it]
4/100 21.5G 1.354 2.097 0.9336 1.455 2732 640: 82%|████████▏ | 27/33 [00:49<00:13, 2.20s/it]
4/100 21.5G 1.349 2.085 0.9283 1.447 2543 640: 82%|████████▏ | 27/33 [00:51<00:13, 2.20s/it]
4/100 21.5G 1.349 2.085 0.9283 1.447 2543 640: 85%|████████▍ | 28/33 [00:51<00:10, 2.14s/it]
4/100 21.5G 1.344 2.079 0.9241 1.442 2565 640: 85%|████████▍ | 28/33 [00:53<00:10, 2.14s/it]
4/100 21.5G 1.344 2.079 0.9241 1.442 2565 640: 88%|████████▊ | 29/33 [00:53<00:08, 2.19s/it]
4/100 21.5G 1.341 2.074 0.9208 1.437 2778 640: 88%|████████▊ | 29/33 [00:55<00:08, 2.19s/it]
4/100 21.5G 1.341 2.074 0.9208 1.437 2778 640: 91%|█████████ | 30/33 [00:55<00:06, 2.22s/it]
4/100 21.5G 1.335 2.068 0.9178 1.433 2661 640: 91%|█████████ | 30/33 [00:57<00:06, 2.22s/it]
4/100 21.5G 1.335 2.068 0.9178 1.433 2661 640: 94%|█████████▍| 31/33 [00:57<00:04, 2.10s/it]
4/100 21.5G 1.331 2.06 0.9132 1.427 2798 640: 94%|█████████▍| 31/33 [00:59<00:04, 2.10s/it]
4/100 21.5G 1.331 2.06 0.9132 1.427 2798 640: 97%|█████████▋| 32/33 [00:59<00:02, 2.13s/it]
4/100 21.5G 1.325 2.05 0.9103 1.423 1450 640: 97%|█████████▋| 32/33 [01:01<00:02, 2.13s/it]
4/100 21.5G 1.325 2.05 0.9103 1.423 1450 640: 100%|██████████| 33/33 [01:01<00:00, 2.00s/it]
4/100 21.5G 1.325 2.05 0.9103 1.423 1450 640: 100%|██████████| 33/33 [01:01<00:00, 1.86s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 0%| | 0/3 [00:00<?, ?it/s]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 33%|███▎ | 1/3 [00:05<00:11, 5.91s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 67%|██████▋ | 2/3 [00:10<00:05, 5.42s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| 3/3 [00:11<00:00, 3.05s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| 3/3 [00:11<00:00, 3.74s/it] all 261 5766 0.865 0.701 0.819 0.56 0.873 0.695 0.81 0.531
Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size
0%| | 0/33 [00:00<?, ?it/s]
5/100 18.3G 1.191 1.988 0.8142 1.284 2706 640: 0%| | 0/33 [00:00<?, ?it/s]
5/100 18.3G 1.191 1.988 0.8142 1.284 2706 640: 3%|▎ 使用 tail -f train.log 在终端显示写入train.log的内容
python
23 [16, 19, 22] 1 683635 ultralytics.nn.modules.head.Segment [1, 32, 64, [64, 128, 256]]
YOLO11n-seg summary: 355 layers, 2,842,803 parameters, 2,842,787 gradients, 10.4 GFLOPs
TensorBoard: Start with 'tensorboard --logdir runs/train/exp2', view at http://localhost:6006/
Freezing layer 'model.23.dfl.conv.weight'
AMP: running Automatic Mixed Precision (AMP) checks with YOLO11n...
AMP: checks passed ✅
train: Scanning /root/ultralytics-yolo11-main_2025518/mushroom_dataset/enhance_mushroom_811_v3/labels/train.cache... 2088 images,train: Scanning /root/ultralytics-yolo11-main_2025518/mushroom_dataset/enhance_mushroom_811_v3/labels/train.cache... 2088 images, 0 backgrounds, 0 corrupt: 100%|██████████| 2088/2088 [00:00<?, ?it/s]
val: Scanning /root/ultralytics-yolo11-main_2025518/mushroom_dataset/enhance_mushroom_811_v3/labels/val.cache... 261 images, 0 baval: Scanning /root/ultralytics-yolo11-main_2025518/mushroom_dataset/enhance_mushroom_811_v3/labels/val.cache... 261 images, 0 backgrounds, 0 corrupt: 100%|██████████| 261/261 [00:00<?, ?it/s]
Plotting labels to runs/train/exp2/labels.jpg...
optimizer: SGD(lr=0.01, momentum=0.937) with parameter groups 90 weight(decay=0.0), 101 weight(decay=0.0005), 100 bias(decay=0.0)
TensorBoard: model graph visualization added ✅
Image sizes 640 train, 640 val
Using 16 dataloader workers
Logging results to runs/train/exp2
Starting training for 100 epochs...
Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size
1/100 16.8G 4.464 12.67 3.715 4.239 2330 640: 3%|▎ | 1/33 [00:01<00:42, 1. 1/100 19.4G 4.406 12.2 3.687 4.232 2915 640: 3%|▎ | 1/33 [00:03<00:42, 1. 1/100 19.4G 4.406 12.2 3.687 4.232 2915 640: 6%|▌ | 2/33 [00:03<01:04, 2. 1/100 20.3G 4.591 12.37 3.696 4.234 2761 640: 6%|▌ | 2/33 [00:10<01:04, 2. 1/100 20.3G 4.591 12.37 3.696 4.234 2761 640: 9%|▉ | 3/33 [00:10<02:01, 4. 1/100 21.5G 4.599 12.7 3.704 4.237 2914 640: 9%|▉ | 3/33 [00:18<02:01, 4. 1/100 21.5G 4.599 12.7 3.704 4.237 2914 640: 12%|█▏ | 4/33 [00:18<02:42, 5. 1/100 21.5G 4.55 12.15 3.696 4.232 2699 640: 12%|█▏ | 4/33 [00:23<02:42, 5. 1/100 21.5G 4.55 12.15 3.696 4.232 2699 640: 15%|█▌ | 5/33 [00:23<02:37, 5. 1/100 21.5G 4.552 11.92 3.695 4.231 2938 640: 15%|█▌ | 5/33 [00:27<02:37, 5. 1/100 21.5G 4.552 11.92 3.695 4.231 2938 640: 18%|█▊ | 6/33 [00:27<02:11, 4. 1/100 21.5G 4.543 12.13 3.701 4.231 2150 640: 18%|█▊ | 6/33 [00:28<02:11, 4. 1/100 21.5G 4.543 12.13 3.701 4.231 2150 640: 21%|██ | 7/33 [00:28<01:37, 3. 1/100 21.5G 4.586 11.92 3.701 4.231 2933 640: 21%|██ | 7/33 [00:31<01:37, 3. 1/100 21.5G 4.586 11.92 3.701 4.231 2933 640: 24%|██▍ | 8/33 [00:31<01:23, 3. 1/100 21.5G 4.586 12.18 3.701 4.232 2763 640: 24%|██▍ | 8/33 [00:32<01:23, 3. 1/100 21.5G 4.586 12.18 3.701 4.232 2763 640: 27%|██▋ | 9/33 [00:32<01:02, 2. 1/100 21.5G 4.583 12.36 3.7 4.234 2592 640: 27%|██▋ | 9/33 [00:33<01:02, 2. 1/100 21.5G 4.583 12.36 3.7 4.234 2592 640: 30%|███ | 10/33 [00:33<00:47, 2 1/100 21.5G 4.564 12.3 3.698 4.232 2713 640: 30%|███ | 10/33 [00:34<00:47, 2 1/100 21.5G 4.564 12.3 3.698 4.232 2713 640: 33%|███▎ | 11/33 [00:34<00:39, 1 1/100 21.5G 4.539 12.23 3.698 4.231 2435 640: 33%|███▎ | 11/33 [00:35<00:39, 1 1/100 21.5G 4.539 12.23 3.698 4.231 2435 640: 36%|███▋ | 12/33 [00:35<00:35, 1 1/100 21.5G 4.53 12.1 3.697 4.232 2305 640: 36%|███▋ | 12/33 [00:37<00:35, 1 1/100 21.5G 4.53 12.1 3.697 4.232 2305 640: 39%|███▉ | 13/33 [00:37<00:31, 1 1/100 21.5G 4.533 11.93 3.699 4.231 2460 640: 39%|███▉ | 13/33 [00:39<00:31, 1 1/100 21.5G 4.533 11.93 3.699 4.231 2460 640: 42%|████▏ | 14/33 [00:39<00:35, 1 1/100 21.5G 4.544 11.75 3.699 4.23 2711 640: 42%|████▏ | 14/33 [00:41<00:35, 1 1/100 21.5G 4.544 11.75 3.699 4.23 2711 640: 45%|████▌ | 15/33 [00:41<00:31, 1 1/100 21.5G 4.537 11.6 3.699 4.23 2297 640: 45%|████▌ | 15/33 [00:42<00:31, 1 1/100 21.5G 4.537 11.6 3.699 4.23 2297 640: 48%|████▊ | 16/33 [00:42<00:28, 1 1/100 21.5G 4.542 11.41 3.699 4.23 2375 640: 48%|████▊ | 16/33 [00:44<00:28, 1 1/100 21.5G 4.542 11.41 3.699 4.23 2375 640: 52%|█████▏ | 17/33 [00:44<00:26, 1 1/100 21.5G 4.528 11.19 3.696 4.229 2469 640: 52%|█████▏ | 17/33 [00:46<00:26, 1 1/100 21.5G 4.528 11.19 3.696 4.229 2469 640: 55%|█████▍ | 18/33 [00:46<00:26, 1 1/100 21.5G 4.517 10.97 3.695 4.228 2261 640: 55%|█████▍ | 18/33 [00:47<00:26, 1 1/100 21.5G 4.517 10.97 3.695 4.228 2261 640: 58%|█████▊ | 19/33 [00:47<00:24, 1 1/100 21.5G 4.518 10.77 3.694 4.228 2528 640: 58%|█████▊ | 19/33 [00:50<00:24, 1 1/100 21.5G 4.518 10.77 3.694 4.228 2528 640: 61%|██████ | 20/33 [00:50<00:24, 1 1/100 21.5G 4.525 10.59 3.693 4.227 2688 640: 61%|██████ | 20/33 [00:52<00:24, 1 1/100 21.5G 4.525 10.59 3.693 4.227 2688 640: 64%|██████▎ | 21/33 [00:52<00:23, 1 1/100 21.5G 4.537 10.36 3.693 4.225 2774 640: 64%|██████▎ | 21/33 [00:54<00:23, 1 1/100 21.5G 4.537 10.36 3.693 4.225 2774 640: 67%|██████▋ | 22/33 [00:54<00:22, 2 1/100 21.5G 4.545 10.21 3.692 4.224 2493 640: 67%|██████▋ | 22/33 [00:56<00:22, 2 1/100 21.5G 4.545 10.21 3.692 4.224 2493 640: 70%|██████▉ | 23/33 [00:56<00:20, 2 1/100 21.5G 4.552 10.07 3.691 4.223 2706 640: 70%|██████▉ | 23/33 [00:58<00:20, 2 1/100 21.5G 4.552 10.07 3.691 4.223 2706 640: 73%|███████▎ | 24/33 [00:58<00:17, 1 1/100 21.5G 4.558 9.918 3.69 4.221 2489 640: 73%|███████▎ | 24/33 [01:00<00:17, 1 1/100 21.5G 4.558 9.918 3.69 4.221 2489 640: 76%|███████▌ | 25/33 [01:00<00:16, 2 1/100 21.5G 4.553 9.78 3.688 4.22 2478 640: 76%|███████▌ | 25/33 [01:02<00:16, 2 1/100 21.5G 4.553 9.78 3.688 4.22 2478 640: 79%|███████▉ | 26/33 [01:02<00:14, 2 1/100 21.5G 4.555 9.626 3.687 4.219 2559 640: 79%|███████▉ | 26/33 [01:05<00:14, 2 1/100 21.5G 4.555 9.626 3.687 4.219 2559 640: 82%|████████▏ | 27/33 [01:05<00:12, 2 1/100 21.5G 4.55 9.478 3.684 4.217 2248 640: 82%|████████▏ | 27/33 [01:07<00:12, 2 1/100 21.5G 4.55 9.478 3.684 4.217 2248 640: 85%|████████▍ | 28/33 [01:07<00:10, 2 1/100 21.5G 4.549 9.335 3.682 4.215 2389 640: 85%|████████▍ | 28/33 [01:09<00:10, 2 1/100 21.5G 4.549 9.335 3.682 4.215 2389 640: 88%|████████▊ | 29/33 [01:09<00:08, 2 1/100 21.5G 4.551 9.192 3.68 4.213 2353 640: 88%|████████▊ | 29/33 [01:11<00:08, 2 1/100 21.5G 4.551 9.192 3.68 4.213 2353 640: 91%|█████████ | 30/33 [01:11<00:06, 2 1/100 21.5G 4.553 9.056 3.677 4.212 2481 640: 91%|█████████ | 30/33 [01:14<00:06, 2 1/100 21.5G 4.553 9.056 3.677 4.212 2481 640: 94%|█████████▍| 31/33 [01:14<00:04, 2 1/100 21.5G 4.549 8.927 3.674 4.21 2308 640: 94%|█████████▍| 31/33 [01:16<00:04, 2 1/100 21.5G 4.549 8.927 3.674 4.21 2308 640: 97%|█████████▋| 32/33 [01:16<00:02, 2 1/100 21.5G 4.552 8.805 3.67 4.207 1777 640: 97%|█████████▋| 32/33 [01:23<00:02, 2 1/100 21.5G 4.552 8.805 3.67 4.207 1777 640: 100%|██████████| 33/33 [01:23<00:00, 3 1/100 21.5G 4.552 8.805 3.67 4.207 1777 640: 100%|██████████| 33/33 [01:23<00:00, 2.52s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50- Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50- Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50- Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50- Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| 3/3 [00:09<00:00, 3.04s/it] all 261 5766 0.00654 0.0888 0.00356 0.00118 0.00194 0.0264 0.000996 0.000198
Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size
2/100 18.5G 4.301 5.109 3.531 4.132 2697 640: 3%|▎ | 1/33 [00:00<00:16, 1. 2/100 20.1G 4.371 4.883 3.548 4.124 2514 640: 3%|▎ | 1/33 [00:01<00:16, 1. 2/100 20.1G 4.371 4.883 3.548 4.124 2514 640: 6%|▌ | 2/33 [00:01<00:18, 1. 2/100 20.1G 4.419 4.781 3.539 4.114 2562 640: 6%|▌ | 2/33 [00:02<00:18, 1. 2/100 20.1G 4.419 4.781 3.539 4.114 2562 640: 9%|▉ | 3/33 [00:02<00:22, 1. 2/100 20.1G 4.466 4.714 3.52 4.102 2602 640: 9%|▉ | 3/33 [00:03<00:22, 1. 2/100 20.1G 4.466 4.714 3.52 4.102 2602 640: 12%|█▏ | 4/33 [00:03<00:26, 1. 2/100 20.1G 4.468 4.643 3.497 4.088 2388 640: 12%|█▏ | 4/33 [00:04<00:26, 1. 2/100 20.1G 4.468 4.643 3.497 4.088 2388 640: 15%|█▌ | 5/33 [00:04<00:29, 1. 2/100 21.3G 4.44 4.581 3.475 4.073 2481 640: 15%|█▌ | 5/33 [00:05<00:29, 1. 2/100 21.3G 4.44 4.581 3.475 4.073 2481 640: 18%|█▊ | 6/33 [00:05<00:31, 1. 2/100 21.3G 4.425 4.541 3.454 4.058 2475 640: 18%|█▊ | 6/33 [00:07<00:31, 1. 2/100 21.3G 4.425 4.541 3.454 4.058 2475 640: 21%|██ | 7/33 [00:07<00:32, 1. 2/100 21.3G 4.4 4.497 3.432 4.045 2610 640: 21%|██ | 7/33 [00:08<00:32, 1. 2/100 21.3G 4.4 4.497 3.432 4.045 2610 640: 24%|██▍ | 8/33 [00:08<00:33, 1. 2/100 21.3G 4.368 4.464 3.407 4.026 2650 640: 24%|██▍ | 8/33 [00:10<00:33, 1. 2/100 21.3G 4.368 4.464 3.407 4.026 2650 640: 27%|██▋ | 9/33 [00:10<00:37, 1. 2/100 21.3G 4.363 4.445 3.382 4.006 2664 640: 27%|██▋ | 9/33 [00:12<00:37, 1. 2/100 21.3G 4.363 4.445 3.382 4.006 2664 640: 30%|███ | 10/33 [00:12<00:38, 1 2/100 21.3G 4.338 4.409 3.355 3.988 2694 640: 30%|███ | 10/33 [00:14<00:38, 1 2/100 21.3G 4.338 4.409 3.355 3.988 2694 640: 33%|███▎ | 11/33 [00:14<00:38, 1 2/100 21.3G 4.301 4.372 3.325 3.966 2204 640: 33%|███▎ | 11/33 [00:16<00:38, 1 2/100 21.3G 4.301 4.372 3.325 3.966 2204 640: 36%|███▋ | 12/33 [00:16<00:36, 1 2/100 21.3G 4.269 4.335 3.292 3.938 2449 640: 36%|███▋ | 12/33 [00:18<00:36, 1 2/100 21.3G 4.269 4.335 3.292 3.938 2449 640: 39%|███▉ | 13/33 [00:18<00:35, 1 2/100 21.3G 4.234 4.305 3.255 3.914 2536 640: 39%|███▉ | 13/33 [00:20<00:35, 1 2/100 21.3G 4.234 4.305 3.255 3.914 2536 640: 42%|████▏ | 14/33 [00:20<00:36, 1 2/100 21.3G 4.196 4.275 3.22 3.89 2521 640: 42%|████▏ | 14/33 [00:22<00:36, 1 2/100 21.3G 4.196 4.275 3.22 3.89 2521 640: 45%|████▌ | 15/33 [00:22<00:36, 2 2/100 21.3G 4.149 4.247 3.181 3.868 2589 640: 45%|████▌ | 15/33 [00:24<00:36, 2 2/100 21.3G 4.149 4.247 3.181 3.868 2589 640: 48%|████▊ | 16/33 [00:24<00:34, 2 2/100 21.3G 4.101 4.214 3.136 3.841 2536 640: 48%|████▊ | 16/33 [00:27<00:34, 2 2/100 21.3G 4.101 4.214 3.136 3.841 2536 640: 52%|█████▏ | 17/33 [00:27<00:32, 2 2/100 21.3G 4.055 4.179 3.09 3.81 2649 640: 52%|█████▏ | 17/33 [00:29<00:32, 2 2/100 21.3G 4.055 4.179 3.09 3.81 2649 640: 55%|█████▍ | 18/33 [00:29<00:31, 2 2/100 21.3G 4.011 4.149 3.05 3.783 2570 640: 55%|█████▍ | 18/33 [00:31<00:31, 2 2/100 21.3G 4.011 4.149 3.05 3.783 2570 640: 58%|█████▊ | 19/33 [00:31<00:29, 2 2/100 21.3G 3.961 4.116 3.006 3.749 2592 640: 58%|█████▊ | 19/33 [00:33<00:29, 2 2/100 21.3G 3.961 4.116 3.006 3.749 2592 640: 61%|██████ | 20/33 [00:33<00:28, 2 2/100 21.3G 3.915 4.075 2.965 3.718 2730 640: 61%|██████ | 20/33 [00:35<00:28, 2 2/100 21.3G 3.915 4.075 2.965 3.718 2730 640: 64%|██████▎ | 21/33 [00:35<00:25, 2 2/100 21.3G 3.867 4.033 2.925 3.685 2417 640: 64%|██████▎ | 21/33 [00:38<00:25, 2 2/100 21.3G 3.867 4.033 2.925 3.685 2417 640: 67%|██████▋ | 22/33 [00:38<00:24, 2 2/100 21.3G 3.825 4 2.894 3.658 2431 640: 67%|██████▋ | 22/33 [00:40<00:24, 2 2/100 21.3G 3.825 4 2.894 3.658 2431 640: 70%|██████▉ | 23/33 [00:40<00:22, 2 2/100 21.3G 3.781 3.965 2.856 3.628 2451 640: 70%|██████▉ | 23/33 [00:42<00:22, 2 2/100 21.3G 3.781 3.965 2.856 3.628 2451 640: 73%|███████▎ | 24/33 [00:42<00:20, 2 2/100 21.3G 3.738 3.937 2.826 3.596 2679 640: 73%|███████▎ | 24/33 [00:44<00:20, 2 2/100 21.3G 3.738 3.937 2.826 3.596 2679 640: 76%|███████▌ | 25/33 [00:44<00:17, 2 2/100 21.3G 3.701 3.904 2.803 3.576 2209 640: 76%|███████▌ | 25/33 [00:47<00:17, 2 2/100 21.3G 3.701 3.904 2.803 3.576 2209 640: 79%|███████▉ | 26/33 [00:47<00:15, 2 2/100 21.3G 3.661 3.877 2.773 3.549 2446 640: 79%|███████▉ | 26/33 [00:49<00:15, 2 2/100 21.3G 3.661 3.877 2.773 3.549 2446 640: 82%|████████▏ | 27/33 [00:49<00:13, 2 2/100 21.3G 3.62 3.849 2.744 3.524 2142 640: 82%|████████▏ | 27/33 [00:51<00:13, 2 2/100 21.3G 3.62 3.849 2.744 3.524 2142 640: 85%|████████▍ | 28/33 [00:51<00:11, 2 2/100 21.3G 3.582 3.821 2.713 3.495 2769 640: 85%|████████▍ | 28/33 [00:53<00:11, 2 2/100 21.3G 3.582 3.821 2.713 3.495 2769 640: 88%|████████▊ | 29/33 [00:53<00:08, 2 2/100 21.3G 3.548 3.792 2.688 3.469 2119 640: 88%|████████▊ | 29/33 [00:55<00:08, 2 2/100 21.3G 3.548 3.792 2.688 3.469 2119 640: 91%|█████████ | 30/33 [00:55<00:06, 2 2/100 21.3G 3.517 3.761 2.656 3.438 2564 640: 91%|█████████ | 30/33 [00:57<00:06, 2 2/100 21.3G 3.517 3.761 2.656 3.438 2564 640: 94%|█████████▍| 31/33 [00:57<00:04, 2 2/100 21.3G 3.483 3.735 2.63 3.411 2574 640: 94%|█████████▍| 31/33 [01:00<00:04, 2 2/100 21.3G 3.483 3.735 2.63 3.411 2574 640: 97%|█████████▋| 32/33 [01:00<00:02, 2 2/100 21.3G 3.452 3.711 2.606 3.385 1742 640: 97%|█████████▋| 32/33 [01:01<00:02, 2 2/100 21.3G 3.452 3.711 2.606 3.385 1742 640: 100%|██████████| 33/33 [01:01<00:00, 2 2/100 21.3G 3.452 3.711 2.606 3.385 1742 640: 100%|██████████| 33/33 [01:01<00:00, 1.88s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50- Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50- Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50- Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50- Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| 3/3 [00:11<00:00, 3.67s/it] all 261 5766 0.0222 0.301 0.0203 0.00729 0.0138 0.187 0.0106 0.00323
Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size
3/100 17.8G 2.245 2.698 1.652 2.319 2562 640: 3%|▎ | 1/33 [00:00<00:19, 1. 3/100 19.3G 2.262 2.763 1.659 2.288 2581 640: 3%|▎ | 1/33 [00:01<00:19, 1. 3/100 19.3G 2.262 2.763 1.659 2.288 2581 640: 6%|▌ | 2/33 [00:01<00:19, 1. 3/100 19.3G 2.269 2.809 1.639 2.279 2763 640: 6%|▌ | 2/33 [00:02<00:19, 1. 3/100 19.3G 2.269 2.809 1.639 2.279 2763 640: 9%|▉ | 3/33 [00:02<00:24, 1. 3/100 19.3G 2.247 2.828 1.637 2.31 2706 640: 9%|▉ | 3/33 [00:03<00:24, 1. 3/100 19.3G 2.247 2.828 1.637 2.31 2706 640: 12%|█▏ | 4/33 [00:03<00:26, 1. 3/100 19.3G 2.223 2.857 1.634 2.312 2288 640: 12%|█▏ | 4/33 [00:04<00:26, 1. 3/100 19.3G 2.223 2.857 1.634 2.312 2288 640: 15%|█▌ | 5/33 [00:04<00:28, 1. 3/100 20.4G 2.192 2.834 1.623 2.305 2295 640: 15%|█▌ | 5/33 [00:05<00:28, 1. 3/100 20.4G 2.192 2.834 1.623 2.305 2295 640: 18%|█▊ | 6/33 [00:05<00:30, 1. 3/100 20.4G 2.175 2.827 1.605 2.296 2277 640: 18%|█▊ | 6/33 [00:07<00:30, 1. 3/100 20.4G 2.175 2.827 1.605 2.296 2277 640: 21%|██ | 7/33 [00:07<00:31, 1. 3/100 20.4G 2.152 2.813 1.592 2.283 2483 640: 21%|██ | 7/33 [00:08<00:31, 1. 3/100 20.4G 2.152 2.813 1.592 2.283 2483 640: 24%|██▍ | 8/33 [00:08<00:33, 1. 3/100 20.4G 2.147 2.791 1.576 2.268 2603 640: 24%|██▍ | 8/33 [00:10<00:33, 1. 3/100 20.4G 2.147 2.791 1.576 2.268 2603 640: 27%|██▋ | 9/33 [00:10<00:33, 1. 3/100 20.4G 2.14 2.775 1.572 2.259 2577 640: 27%|██▋ | 9/33 [00:12<00:33, 1. 3/100 20.4G 2.14 2.775 1.572 2.259 2577 640: 30%|███ | 10/33 [00:12<00:34, 1 3/100 20.4G 2.123 2.754 1.556 2.249 2324 640: 30%|███ | 10/33 [00:13<00:34, 1 3/100 20.4G 2.123 2.754 1.556 2.249 2324 640: 33%|███▎ | 11/33 [00:13<00:34, 1 3/100 20.4G 2.101 2.735 1.549 2.23 2636 640: 33%|███▎ | 11/33 [00:15<00:34, 1 3/100 20.4G 2.101 2.735 1.549 2.23 2636 640: 36%|███▋ | 12/33 [00:15<00:35, 1 3/100 20.4G 2.078 2.729 1.529 2.207 2590 640: 36%|███▋ | 12/33 [00:18<00:35, 1 3/100 20.4G 2.078 2.729 1.529 2.207 2590 640: 39%|███▉ | 13/33 [00:18<00:37, 1 3/100 20.4G 2.064 2.722 1.513 2.194 2589 640: 39%|███▉ | 13/33 [00:20<00:37, 1 3/100 20.4G 2.064 2.722 1.513 2.194 2589 640: 42%|████▏ | 14/33 [00:20<00:39, 2 3/100 20.4G 2.055 2.713 1.499 2.18 2701 640: 42%|████▏ | 14/33 [00:22<00:39, 2 3/100 20.4G 2.055 2.713 1.499 2.18 2701 640: 45%|████▌ | 15/33 [00:22<00:36, 2 3/100 21.5G 2.04 2.699 1.486 2.169 2482 640: 45%|████▌ | 15/33 [00:24<00:36, 2 3/100 21.5G 2.04 2.699 1.486 2.169 2482 640: 48%|████▊ | 16/33 [00:24<00:35, 2 3/100 21.5G 2.032 2.689 1.476 2.16 2301 640: 48%|████▊ | 16/33 [00:26<00:35, 2 3/100 21.5G 2.032 2.689 1.476 2.16 2301 640: 52%|█████▏ | 17/33 [00:26<00:33, 2 3/100 21.5G 2.017 2.682 1.462 2.144 2569 640: 52%|█████▏ | 17/33 [00:29<00:33, 2 3/100 21.5G 2.017 2.682 1.462 2.144 2569 640: 55%|█████▍ | 18/33 [00:29<00:31, 2 3/100 21.5G 2.007 2.678 1.454 2.131 2457 640: 55%|█████▍ | 18/33 [00:31<00:31, 2 3/100 21.5G 2.007 2.678 1.454 2.131 2457 640: 58%|█████▊ | 19/33 [00:31<00:28, 2 3/100 21.5G 1.992 2.659 1.439 2.118 2497 640: 58%|█████▊ | 19/33 [00:33<00:28, 2 3/100 21.5G 1.992 2.659 1.439 2.118 2497 640: 61%|██████ | 20/33 [00:33<00:26, 2 3/100 21.5G 1.988 2.642 1.435 2.107 2255 640: 61%|██████ | 20/33 [00:35<00:26, 2 3/100 21.5G 1.988 2.642 1.435 2.107 2255 640: 64%|██████▎ | 21/33 [00:35<00:24, 2 3/100 21.5G 1.976 2.636 1.425 2.095 2647 640: 64%|██████▎ | 21/33 [00:37<00:24, 2 3/100 21.5G 1.976 2.636 1.425 2.095 2647 640: 67%|██████▋ | 22/33 [00:37<00:22, 2 3/100 21.5G 1.964 2.629 1.418 2.085 2568 640: 67%|██████▋ | 22/33 [00:39<00:22, 2 3/100 21.5G 1.964 2.629 1.418 2.085 2568 640: 70%|██████▉ | 23/33 [00:39<00:21, 2 3/100 22.7G 1.948 2.616 1.406 2.07 2635 640: 70%|██████▉ | 23/33 [00:41<00:21, 2 3/100 22.7G 1.948 2.616 1.406 2.07 2635 640: 73%|███████▎ | 24/33 [00:41<00:18, 2 3/100 22.7G 1.938 2.615 1.4 2.057 2602 640: 73%|███████▎ | 24/33 [00:43<00:18, 2 3/100 22.7G 1.938 2.615 1.4 2.057 2602 640: 76%|███████▌ | 25/33 [00:43<00:16, 2 3/100 22.7G 1.92 2.601 1.387 2.04 2662 640: 76%|███████▌ | 25/33 [00:45<00:16, 2 3/100 22.7G 1.92 2.601 1.387 2.04 2662 640: 79%|███████▉ | 26/33 [00:45<00:14, 2 3/100 22.7G 1.913 2.59 1.377 2.029 2371 640: 79%|███████▉ | 26/33 [00:48<00:14, 2 3/100 22.7G 1.913 2.59 1.377 2.029 2371 640: 82%|████████▏ | 27/33 [00:48<00:13, 2 3/100 22.7G 1.898 2.582 1.368 2.016 2446 640: 82%|████████▏ | 27/33 [00:50<00:13, 2 3/100 22.7G 1.898 2.582 1.368 2.016 2446 640: 85%|████████▍ | 28/33 [00:50<00:11, 2 3/100 22.7G 1.892 2.577 1.358 2.003 2959 640: 85%|████████▍ | 28/33 [00:52<00:11, 2 3/100 22.7G 1.892 2.577 1.358 2.003 2959 640: 88%|████████▊ | 29/33 [00:52<00:08, 2 3/100 22.7G 1.878 2.563 1.348 1.991 2404 640: 88%|████████▊ | 29/33 [00:54<00:08, 2 3/100 22.7G 1.878 2.563 1.348 1.991 2404 640: 91%|█████████ | 30/33 [00:54<00:06, 2 3/100 22.7G 1.876 2.557 1.342 1.986 2407 640: 91%|█████████ | 30/33 [00:56<00:06, 2 3/100 22.7G 1.876 2.557 1.342 1.986 2407 640: 94%|█████████▍| 31/33 [00:56<00:04, 2 3/100 22.7G 1.864 2.548 1.334 1.974 2600 640: 94%|█████████▍| 31/33 [00:58<00:04, 2 3/100 22.7G 1.864 2.548 1.334 1.974 2600 640: 97%|█████████▋| 32/33 [00:58<00:02, 2 3/100 22.7G 1.858 2.54 1.328 1.966 1466 640: 97%|█████████▋| 32/33 [01:00<00:02, 2 3/100 22.7G 1.858 2.54 1.328 1.966 1466 640: 100%|██████████| 33/33 [01:00<00:00, 1 3/100 22.7G 1.858 2.54 1.328 1.966 1466 640: 100%|██████████| 33/33 [01:00<00:00, 1.83s/it]
Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50- Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50- Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50- Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50- Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| 3/3 [00:10<00:00, 3.64s/it] all 261 5766 0.767 0.442 0.592 0.374 0.765 0.434 0.574 0.332
Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size
4/100 17.7G 1.391 2.172 1.013 1.534 2491 640: 3%|▎ | 1/33 [00:00<00:19, 1. 4/100 18.5G 1.531 2.238 1.053 1.639 2353 640: 3%|▎ | 1/33 [00:01<00:19, 1. 4/100 18.5G 1.531 2.238 1.053 1.639 2353 640: 6%|▌ | 2/33 [00:01<00:21, 1.方法1小结：
在断网后，依旧保持将终端输出的训练内容日志保存到 train.log文件， 但是保存的内容与之前在终端输出的不相同，这里将batch中每张图片的训练进度都保存下来，不符合平时观察的习惯。
正常在终端输出训练进度如下图所示：
方法2：Screen
安装screen
在终端执行 下载screen命令
apt-get update && apt-get install -y screen
python
Get:1 https://repo.huaweicloud.com/ubuntu focal InRelease [265 kB]
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Get:4 https://repo.huaweicloud.com/ubuntu focal-security InRelease [128 kB]
Get:5 https://repo.huaweicloud.com/ubuntu focal-updates InRelease [128 kB]
Get:6 https://repo.huaweicloud.com/ubuntu focal/main Sources [1,079 kB]
Get:7 https://repo.huaweicloud.com/ubuntu focal/universe Sources [12.3 MB]
Get:8 https://repo.huaweicloud.com/ubuntu focal/multiverse Sources [208 kB]
Get:9 https://repo.huaweicloud.com/ubuntu focal/restricted Sources [7,198 B]
Get:10 https://repo.huaweicloud.com/ubuntu focal/universe amd64 Packages [11.3 MB]
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Get:14 https://repo.huaweicloud.com/ubuntu focal-backports/main Sources [10.9 kB]
Get:15 https://repo.huaweicloud.com/ubuntu focal-backports/universe Sources [11.6 kB]
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Get:39 https://repo.huaweicloud.com/ubuntu focal-updates/main amd64 Packages [4,919 kB]
Get:40 https://repo.huaweicloud.com/ubuntu focal-updates/universe amd64 Packages [1,599 kB]
Fetched 53.0 MB in 5s (10.5 MB/s)
Reading package lists... Done
Reading package lists... Done
Building dependency tree
Reading state information... Done
screen is already the newest version (4.8.0-1ubuntu0.1).
0 upgraded, 0 newly installed, 0 to remove and 187 not upgraded.在jupyter终端输入screen
出现以下
python
GNU Screen version 4.08.00 (GNU) 05-Feb-20
Copyright (c) 2018-2020 Alexander Naumov, Amadeusz Slawinski
Copyright (c) 2015-2017 Juergen Weigert, Alexander Naumov, Amadeusz Slawinski
Copyright (c) 2010-2014 Juergen Weigert, Sadrul Habib Chowdhury
Copyright (c) 2008-2009 Juergen Weigert, Michael Schroeder, Micah Cowan, Sadrul Habib Chowdhury
Copyright (c) 1993-2007 Juergen Weigert, Michael Schroeder
Copyright (c) 1987 Oliver Laumann
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published
by the Free Software Foundation; either version 3, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program (see the file COPYING); if not, see
https://www.gnu.org/licenses/, or contact Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02111-1301 USA.
Send bugreports, fixes, enhancements, t-shirts, money, beer & pizza to [email protected]
Capabilities:
+copy +remote-detach +power-detach +multi-attach +multi-user +font +color-256 +utf8 +rxvt +builtin-telnet
[Press Space or Return to end.]
###翻译
以下是翻译：
GNU Screen 版本 4.08.00（GNU）2024 年 2 月 5 日
版权 (c) 2018-2020 Alexander Naumov、Amadeusz Slawinski
版权 (c) 2015-2017 Juergen Weigert、Alexander Naumov、Amadeusz Slawinski
版权 (c) 2010-2014 Juergen Weigert、Sadrul Habib Chowdhury
版权 (c) 2008-2009 Juergen Weigert、Michael Schroeder、Micah Cowan、Sadrul Habib Chowdhury
版权 (c) 1993-2007 Juergen Weigert、Michael Schroeder
版权 (c) 1987 Oliver Laumann
本程序是自由软件；你可以根据自由软件基金会发布的 GNU 通用公共许可证的条款重新分发和/或修改它；许可证版本为第 3 版，或者（根据你的选择）任何后续版本。
本程序的发布是基于希望它能有用，但没有任何形式的保证；甚至没有隐含的适销性或特定用途适用性的保证。请参阅 GNU 通用公共许可证以获取更多详细信息。
你应该随本程序收到了一份 GNU 通用公共许可证的副本（见文件 COPYING）；如果没有，请访问 https://www.gnu.org/licenses/ ，或联系自由软件基金会，地址：美国马萨诸塞州波士顿 51 Franklin Street，五楼，02111-1301。
请将错误报告、修复、增强功能、T 恤、金钱、啤酒和比萨发送至 [email protected]。
功能：
+复制 +远程分离 +断电分离 +多连接 +多用户 +字体 +256 色 +utf8 +rxvt +内置 telnet
[按空格或回车键结束。]cd 到ttrain.py所在目录， cd /root/ultralytics-yolo11-main_2025518/train.py
执行python train.py
开始运行，并在终端输出
注意：当鼠标箭头放在黑色面板上时，终端会将鼠标或键盘的动作一并输出到终端（黑色面板）上
离开会话
在用screen打开的终端中使用快捷键：ctl + a + d，会退出到原终端，并且显示detached，意味着这个会话只是离开并未退出
按下 ctrl +a+d 退出终端
重进入会话
先找到所有离开的会话：screen -ls
screen 278766......6e69 重新进入会话，终端中的训练进度依旧再输出
进行断网测试
再次联网，jupyter终端保持输出训练日志（从20-到34），但滑动训练内容时，发现只能看到第14轮，看不第一轮输出
ctrl+c 终止程序
ctrl+d 退出终端
在vscode终端使用screen
输入screen,然后按下 ctrl+a+d 退出会话
screen -r 281750.。。。9 返回对话
在终端输出 python train.py
显示训练内容
进行断网测试
联网后依旧保存输出 ，但是之前的内容已经无法观察，只能看到epoch=11开始的内容
在终端拉伸变化时，输出会受到干扰
在移动鼠标向上时，发现不能查看之前的日志内容，只能查看当前实时输出的日志内容
关闭会话
ctrl+c 关闭训练过程
ctrl+d 退出会话
注意：如果没有ctrl+c关闭训练，直接按ctrl+d是没有反应的
再次查看会话，发现已经关闭
结合方法1和方法2
python train.py > train.log 2>&1 & tail -f train.log
python
python train.py > train.log 2>&1 & tail -f train.log在train.log文件依旧输出
在终端同样是输出类似上内容，（输出每张图片训练进度），并且无法滚动鼠标往上查看，将方法1（输出内容太多，将每张图片的训练进度都进行显示）和方法2（终端输出的内容每三行针对一个epoch,没有显示每张图片训练进度，但是终端只能保留最近5~6epoch的内容，不能滚动鼠标查找之前的内容，只能查看在终端显示的内容）的缺点都集合了
最终还是决定使用在线训练，当然，上述方法也可行，在只关心使用训练结果的时候，可以使用上述守护进程 方法。