Weights only load failed. This file can still be loaded, to do so you have two options

[wjkhappy14]

Traceback (most recent call last):
File "D:\YOLOv5-Lite\detect.py", line 178, in
~~~~~~^^
File "D:\YOLOv5-Lite\detect.py", line 34, in detect
model = attempt_load(weights, map_location=device) # load FP32 model
File "D:\YOLOv5-Lite\models\experimental.py", line 118, in attempt_load
ckpt = torch.load(w, map_location=map_location) # load
File "C:\Users\AngkorWu\AppData\Local\Programs\Python\Python313\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 numpy.core.multiarray._reconstruct was not an allowed global by default. Please use torch.serialization.add_safe_globals([_reconstruct]) or the torch.serialization.safe_globals([_reconstruct]) 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.

[yuanqimm]

将detect.py文件中的torch.load中的weights_only参数改为False
model = torch.load('model.pth', weights_only=False)