ultralytics/yolov5

RuntimeError: result type Float can't be cast to the desired output type long int

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lucysumi commented

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Question

I tried to run this on Monash dataset [https://github.com/MarcusLimJunYi/Monash-Guns-Dataset]
and i get this error:

File "/content/yolov5/utils/loss.py", line 211, in build_targets
indices.append((b, a, gj.clamp_(0, gain[3] - 1), gi.clamp_(0, gain[2] - 1))) # image, anchor, grid indices

RuntimeError: result type Float can't be cast to the desired output type long int

Where do I need to do the changes ?

Additional

No response

github-actions commented

👋 Hello @lucysumi, 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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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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lucysumi commented

That's the error I get when I tried to train it on a custom dataset from roboflow.

glenn-jocher commented

@lucysumi your YOLOv5 code is out of date. To update and resolve this issue:

  • Git – git pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
  • PyTorch Hub – Force-reload model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
  • Notebooks – View updated notebooks Open In Colab Open In Kaggle
  • Docker – sudo docker pull ultralytics/yolov5:latest to update your image Docker Pulls
lucysumi commented

It worked perfectly in solving my problem. Thank you @glenn-jocher

dinarkino commented

If someone is wondering what change will fix the problem, here is the commit: https://github.com/ultralytics/yolov5/pull/8067/files

  • 👍5
  • 🎉3
keepgoing365 commented

If someone is wondering what change will fix the problem, here is the commit: https://github.com/ultralytics/yolov5/pull/8067/files

it works,thank you.

glenn-jocher commented

@keepgoing365 glad to hear it's working! 🚀 Remember that the YOLOv5 community and the Ultralytics team are here to help with any issues you encounter. If you have any more questions, feel free to ask.