ultralytics / yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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How to load custom model with torchhub? #6804

Closed RoyCopter closed 2 years ago

RoyCopter commented 2 years ago

Hey, I try to load custom model with the next code:

        # # Model
        self.model = torch.hub.load('ultralytics/yolov5', 'custom',path="yolov5l-custom.pt",force_reload=True,autoshape=True)  # or yolov5m, yolov5l, yolov5x, custom

but I get the next error:

Exception: Can't get attribute 'CBAM' on <module 'models.common' from 
models/common.py'>. Cache may be out of date, try `force_reload=True` or see https://github.com/ultralytics/yolov5/issues/36 for help.

How can I fix that?

github-actions[bot] commented 2 years ago

👋 Hello @RoyCopter, 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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Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

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Guttappa1238 commented 2 years ago

Hi @RoyCopter, I think your code is out of date. Use git pull to update your code, or simply git clone https://github.com/ultralytics/yolov5 to download a new copy.

And If you are running custom models with local repo try this: model = torch.hub.load('path/to/yolov5', 'custom', path='path/to/best.pt', source='local') # local repo

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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Blankeos commented 7 months ago

Does this still work in Torch 2.2.2?

glenn-jocher commented 7 months ago

@Blankeos hi there! 😊 For Torch 2.2.2, you might encounter some compatibility issues with our current YOLOv5 implementation. We generally recommend using the Torch version specified in our Ultralytics Docs for optimal performance and compatibility. Keeping your environment aligned with our recommendations ensures smoother operation and helps avoid unexpected issues. If you've already encountered specific errors, please feel free to share them for more targeted advice. Thanks for reaching out!