glenn-jocher
commented
2 years ago @Taitai6521 hi there! It looks like you've posted this issue in the wrong place. This is the YOLOv5 repo.
You should post YOLOR issues directly to the YOLOR repository.
Closed Taitai6521 closed 2 years ago
glenn-jocher
commented
2 years ago @Taitai6521 hi there! It looks like you've posted this issue in the wrong place. This is the YOLOv5 repo.
You should post YOLOR issues directly to the YOLOR repository.
Taitai6521
commented
2 years ago hi, @glenn-jocher Sorry!!
Taitai6521
commented
2 years ago 
github-actions[bot]
commented
2 years ago 👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.
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YOLOv5 Component
No response
Bug
Namespace(agnostic_nms=False, augment=False, cfg='/content/drive/MyDrive/神様/Augmentedstartups/yolor/cfg/yolor_w6.cfg', classes=None, conf_thres=0.25, device='0', img_size=1280, iou_thres=0.5, names='data/coco.names', output='/content/drive/MyDrive/Dev/Soccer/Output', save_txt=False, source='/content/drive/MyDrive/神様/Augmentedstartups/yolor/inference/images/horses.jpg', update=False, view_img=False, weights=['/content/drive/MyDrive/神様/Augmentedstartups/yolor/yolor-w6.pt']) Traceback (most recent call last): File "detect.py", line 186, in
detect()
File "detect.py", line 44, in detect
model.load_state_dict(torch.load(weights[0], map_location=device)['model'])
File "/usr/local/lib/python3.7/dist-packages/torch/serialization.py", line 607, in load
return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
File "/usr/local/lib/python3.7/dist-packages/torch/serialization.py", line 882, in _load
result = unpickler.load()
File "/usr/local/lib/python3.7/dist-packages/torch/serialization.py", line 875, in find_class
return super().find_class(mod_name, name)
ModuleNotFoundError: No module named 'models.yolo'
Environment
YoloR OS googlecolab
Minimal Reproducible Example
https://github.com/Taitai6521/ModuleNotFoundError-No-module-named-models.yolo- If you refer to the code here, you will be able to understand the contents. Thank you very much for your cooperation.
Additional
No response
Are you willing to submit a PR?