忘情不是洒脱 发表于 2025-3-29 07:33
还是不行，提示：
train: weights=yolov5s.pt, cfg=, data=../datasets/lcdnf/lcdnf.yaml, hyp=data\hyps ...

怎么解决这种，  我跟你一摸一样的错误

MrKiss 发表于 2025-3-26 00:07
补到不提示位置，我就是这样,后面就可以正常运行了

还是不行，提示：
train: weights=yolov5s.pt, cfg=, data=../datasets/lcdnf/lcdnf.yaml, hyp=data\hyps\hyp.scratch-low.yaml, epochs=300, 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=, 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  2023-8-5 Python-3.10.0 torch-2.6.0+cpu CPU

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 "E:\yolo\yolov5-7.0\train.py", line 636, in <module>
    main(opt)
  File "E:\yolo\yolov5-7.0\train.py", line 529, in main
    train(opt.hyp, opt, device, callbacks)
  File "E:\yolo\yolov5-7.0\train.py", line 125, in train
    ckpt = torch.load(weights, map_location='cpu')  # load checkpoint to CPU to avoid CUDA memory leak
  File "C:\Users\windows\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\serialization.py", line 1470, in load
    raise pickle.UnpicklingError(_get_wo_message(str(e))) from None
_pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint.
        (1) In PyTorch 2.6, we changed the default value of the `weights_only` argument in `torch.load` from `False` to `True`. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
        (2) Alternatively, to load with `weights_only=True` please check the recommended steps in the following error message.
        WeightsUnpickler error: Unsupported global: GLOBAL models.yolo.Model was not an allowed global by default. Please use `torch.serialization.add_safe_globals([Model])` or the `torch.serialization.safe_globals([Model])` context manager to allowlist this global if you trust this class/function.

Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.
请按任意键继续. . .

忘情不是洒脱 发表于 2025-3-23 08:02
大哥，你这个缺什么补什么感觉也补太多了，我现在补了十几个了还在继续补，大概要补多少 ...

补到不提示位置，我就是这样,后面就可以正常运行了

MrKiss 发表于 2024-8-28 11:54
这个问题可能是模块没安装到位，我之前也是，你在yolo文件夹内输入 cmd 然后在输入训练代码试试 看看反馈的 ...

大哥，你这个缺什么补什么感觉也补太多了，我现在补了十几个了还在继续补，大概要补多少

MrKiss 发表于 2024-8-28 20:55
你用的是大漠yolo吗 我也不算太清楚 我可以给你测试代码
测试识别
    命令行进入yolov5_7.0目录,然后执 ...

D:\yolov5-7.0>python train.py --weights yolov5s.pt --epochs 300 --batch-size 16 --workers 8 --data ../datasets/coco128/coco128.yaml
train: weights=yolov5s.pt, cfg=, data=../datasets/coco128/coco128.yaml, hyp=data\hyps\hyp.scratch-low.yaml, epochs=300, 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=, 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
Traceback (most recent call last):
  File "train.py", line 633, in <module>
    main(opt)
  File "train.py", line 502, in main
    check_file(opt.data), check_yaml(opt.cfg), check_yaml(opt.hyp), str(opt.weights), str(opt.project)  # checks
  File "D:\yolov5-7.0\utils\general.py", line 483, in check_file
    assert len(files), f'File not found: {file}'  # assert file was found
AssertionError: File not found: ../datasets/coco128/coco128.yaml

独特舞步 发表于 2024-9-1 23:45
dlldependence和depends一样对吧？我已经下载好depends了！也放系统目录也没用！ ...

虽然报了你那个dll的错误，但是缺少的并不是那个dll，应该是这个dll的一个依赖的dll，你用dependence查一下就看到了

独特舞步 发表于 2024-8-28 22:37
错误找到了，怎么解决呢？原来就是这个问题。。。求解决  谢谢

安装CDUA 然后重新测试 直接百du有一套

torch 卸载了 重新安装别的版本   看看requirements.txt中  torch 版本 改成别的

fengyishen 发表于 2024-9-2 14:07
torch 没引用成功。应该是模块没有安装全，或者版本不匹配

那需要怎么才安装全呢？

独特舞步 发表于 2024-8-28 22:37
错误找到了，怎么解决呢？原来就是这个问题。。。求解决  谢谢

torch 没引用成功。应该是模块没有安装全，或者版本不匹配