glenn-jocher
commented
2 years ago ๐ hi, thanks for letting us know about this possible problem with YOLOv5 ๐. We've created a few short guidelines below to help users provide what we need in order to start investigating a possible problem.
How to create a Minimal, Reproducible Example
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git pullorgit clonea new copy to ensure your problem has not already been solved in master. - โ Unmodified โ Your problem must be reproducible using official YOLOv5 code without changes. Ultralytics does not provide support for custom code โ ๏ธ.
If you believe your problem meets all the above criteria, please close this issue and raise a new one using the ๐ Bug Report template with a minimum reproducible example to help us better understand and diagnose your problem.
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train: weights='yolov5l.pt', cfg=./models/yolov5l.yaml, data=./data/slide.yaml, hyp=data\hyps\hyp.scratch-low.yaml, epochs=200, batch_size=16, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=None, image_weights=False, device=0, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=runs\train, name=exp, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest github: skipping check (not a git repository), for updates see https://github.com/ultralytics/yolov5 YOLOv5 2022-10-21 Python-3.8.13 torch-1.12.0+cu116 CUDA:0 (NVIDIA GeForce RTX 2070, 8192MiB)
hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0 ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 in ClearML Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 runs in Comet TensorBoard: Start with 'tensorboard --logdir runs\train', view at http://localhost:6006/ Traceback (most recent call last): File "train.py", line 630, in
main(opt)
File "train.py", line 524, in main
train(opt.hyp, opt, device, callbacks)
File "train.py", line 116, in train
check_suffix(weights, '.pt') # check weights
File "F:\tongji\project\yolov5-master\utils\general.py", line 417, in check_suffix
assert s in suffix, f"{msg}{f} acceptable suffix is {suffix}"
AssertionError: 'yolov5l.pt' acceptable suffix is ['.pt']
(yolo_py38) F:\tongji\project\yolov5-master>python train.py --data ./data/slide.yaml --cfg ./models/yolov5l.yaml --weights yolov5l.pt --batch-size 16 train: weights=yolov5l.pt, cfg=./models/yolov5l.yaml, data=./data/slide.yaml, hyp=data\hyps\hyp.scratch-low.yaml, epochs=200, batch_size=16, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=None, image_weights=False, device=0, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=runs\train, name=exp, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest github: skipping check (not a git repository), for updates see https://github.com/ultralytics/yolov5 YOLOv5 2022-10-21 Python-3.8.13 torch-1.12.0+cu116 CUDA:0 (NVIDIA GeForce RTX 2070, 8192MiB)
hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0 ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 in ClearML Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 runs in Comet TensorBoard: Start with 'tensorboard --logdir runs\train', view at http://localhost:6006/
0 -1 1 7040 models.common.Conv [3, 64, 6, 2, 2] 1 -1 1 73984 models.common.Conv [64, 128, 3, 2] 2 -1 3 156928 models.common.C3 [128, 128, 3] 3 -1 1 295424 models.common.Conv [128, 256, 3, 2] 4 -1 6 1118208 models.common.C3 [256, 256, 6] 5 -1 1 1180672 models.common.Conv [256, 512, 3, 2] 6 -1 9 6433792 models.common.C3 [512, 512, 9] 7 -1 1 4720640 models.common.Conv [512, 1024, 3, 2] 8 -1 3 9971712 models.common.C3 [1024, 1024, 3] 9 -1 1 2624512 models.common.SPPF [1024, 1024, 5] 10 -1 1 525312 models.common.Conv [1024, 512, 1, 1] 11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 12 [-1, 6] 1 0 models.common.Concat [1] 13 -1 3 2757632 models.common.C3 [1024, 512, 3, False] 14 -1 1 131584 models.common.Conv [512, 256, 1, 1] 15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 16 [-1, 4] 1 0 models.common.Concat [1] 17 -1 3 690688 models.common.C3 [512, 256, 3, False] 18 -1 1 590336 models.common.Conv [256, 256, 3, 2] 19 [-1, 14] 1 0 models.common.Concat [1] 20 -1 3 2495488 models.common.C3 [512, 512, 3, False] 21 -1 1 2360320 models.common.Conv [512, 512, 3, 2] 22 [-1, 10] 1 0 models.common.Concat [1] 23 -1 3 9971712 models.common.C3 [1024, 1024, 3, False] 24 [17, 20, 23] 1 32310 models.yolo.Detect [1, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [256, 512, 1024]] YOLOv5l summary: 368 layers, 46138294 parameters, 46138294 gradients, 108.2 GFLOPs
Transferred 606/613 items from yolov5l.pt AMP: checks passed optimizer: SGD(lr=0.01) with parameter groups 101 weight(decay=0.0), 104 weight(decay=0.0005), 104 bias train: Scanning 'F:\tongji\project\yolov5-master\dataset\train\labels.cache' images and labels... 322 found, 0 missing, Traceback (most recent call last): File "", line 1, in
File "D:\software\anaconda\exe\envs\yolo_py38\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\software\anaconda\exe\envs\yolo_py38\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\software\anaconda\exe\envs\yolo_py38\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\software\anaconda\exe\envs\yolo_py38\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\software\anaconda\exe\envs\yolo_py38\lib\runpy.py", line 265, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\software\anaconda\exe\envs\yolo_py38\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\software\anaconda\exe\envs\yolo_py38\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "F:\tongji\project\yolov5-master\train.py", line 29, in
import torch
File "D:\software\anaconda\exe\envs\yolo_py38\lib\site-packages\torch__init__.py", line 129, in
raise err
OSError: [WinError 1455] ้กต้ขๆไปถๅคชๅฐ๏ผๆ ๆณๅฎๆๆไฝใ Error loading "D:\software\anaconda\exe\envs\yolo_py38\lib\site-packages\torch\lib\cudnn_adv_train64_8.dll" or one of its dependencies.
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