I got an hubconf.py error while loading my best.pt saved model

[amir-sbg]

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• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

Detection, Other

Bug

YOLOv5 🚀 2023-5-2 Python-3.10.11 torch-2.0.0+cu118 CPU

---

KeyError Traceback (most recent call last)
/content/drive/MyDrive/Colab Notebooks/YOLO/./yolov5/hubconf.py in _create(name, pretrained, channels, classes, autoshape, verbose, device)
48 try:
---> 49 model = DetectMultiBackend(path, device=device, fuse=autoshape) # detection model
50 if autoshape:

8 frames
/content/drive/MyDrive/Colab Notebooks/YOLO/./yolov5/models/common.py in init(self, weights, device, dnn, data, fp16, fuse)
343 if pt: # PyTorch
--> 344 model = attempt_load(weights if isinstance(weights, list) else w, device=device, inplace=True, fuse=fuse)
345 stride = max(int(model.stride.max()), 32) # model stride

/content/drive/MyDrive/Colab Notebooks/YOLO/./yolov5/models/experimental.py in attempt_load(weights, device, inplace, fuse)
79 ckpt = torch.load(attempt_download(w), map_location='cpu') # load
---> 80 ckpt = (ckpt.get('ema') or ckpt['model']).to(device).float() # FP32 model
81

KeyError: 'model'

During handling of the above exception, another exception occurred:

KeyError Traceback (most recent call last)
/content/drive/MyDrive/Colab Notebooks/YOLO/./yolov5/hubconf.py in _create(name, pretrained, channels, classes, autoshape, verbose, device)
59 except Exception:
---> 60 model = attempt_load(path, device=device, fuse=False) # arbitrary model
61 else:

/content/drive/MyDrive/Colab Notebooks/YOLO/./yolov5/models/experimental.py in attempt_load(weights, device, inplace, fuse)
79 ckpt = torch.load(attempt_download(w), map_location='cpu') # load
---> 80 ckpt = (ckpt.get('ema') or ckpt['model']).to(device).float() # FP32 model
81

KeyError: 'model'

The above exception was the direct cause of the following exception:

Exception Traceback (most recent call last)
in <cell line: 2>()
1 import torch
----> 2 model = torch.hub.load('./yolov5', 'custom',force_reload=True, path='./best1.pt', source='local')
3 # model = torch.hub.load("ultralytics/yolov5", "custom", weights_path, force_reload=True)
4 # Image
5 img = './road.jpg'

/usr/local/lib/python3.10/dist-packages/torch/hub.py in load(repo_or_dir, model, source, trust_repo, force_reload, verbose, skip_validation, *args, **kwargs)
556 verbose=verbose, skip_validation=skip_validation)
557
--> 558 model = _load_local(repo_or_dir, model, *args, **kwargs)
559 return model
560

/usr/local/lib/python3.10/dist-packages/torch/hub.py in _load_local(hubconf_dir, model, *args, **kwargs)
585
586 entry = _load_entry_from_hubconf(hub_module, model)
--> 587 model = entry(*args, **kwargs)
588
589 return model

/content/drive/MyDrive/Colab Notebooks/YOLO/./yolov5/hubconf.py in custom(path, autoshape, _verbose, device)
81 def custom(path='path/to/model.pt', autoshape=True, _verbose=True, device=None):
82 # YOLOv5 custom or local model
---> 83 return _create(path, autoshape=autoshape, verbose=_verbose, device=device)
84
85

/content/drive/MyDrive/Colab Notebooks/YOLO/./yolov5/hubconf.py in _create(name, pretrained, channels, classes, autoshape, verbose, device)
76 help_url = 'https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading'
77 s = f'{e}. Cache may be out of date, try force_reload=True or see {help_url} for help.'
---> 78 raise Exception(s) from e
79
80

Exception: 'model'. Cache may be out of date, try force_reload=True or see https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading for help.

Environment

-YOLOv5 🚀 2023-5-2 Python-3.10.11 torch-2.0.0+cu118 CPU
-Google Colab
-Python 3.10

Minimal Reproducible Example

import torch

model = torch.hub.load('./yolov5', 'custom',force_reload=True, path='./best.pt', source='local')

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

👋 Hello @amir-sbg, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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[glenn-jocher]

@amir-sbg hello! It seems that there was an issue with loading the YOLOv5 model in your environment. The error trace suggests that there was a KeyError when trying to access the "model" key in the checkpoint. One possible solution that you could try is to set the force_reload flag to True when loading the model with torch.hub.load, as suggested by the error message. This will ensure that the latest version of the model is downloaded from the PyTorch Hub.

If the issue persists, please let us know and we'd be happy to assist you further. Thanks for using YOLOv5!

[github-actions]

👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

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