UltralyticsAssistant
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2 days ago 👋 Hello @rabiakasikci, thank you for reaching out to Ultralytics 🚀! We appreciate your question regarding the Torch vision model.
If this is a 🐛 Bug Report, please provide a minimum reproducible example to better assist our debugging efforts.
For questions like this one, where you're encountering a RuntimeError, it's helpful to know more about the input dimensions and any specific model or layer configurations you're using. Please provide those details if possible.
While our Ultralytics engineers will be here to assist you soon, I also recommend checking out our Docs for additional insights. There you can find guides on Python and CLI usage that may relate to your issue.
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Make sure you've upgraded to the latest ultralytics package and meet all requirements in a Python>=3.8 environment with PyTorch>=1.8:
pip install -U ultralyticsEnvironments
YOLO can run in any of these updated verified environments:
- Notebooks with free GPU:
- Google Cloud: GCP Quickstart Guide
- Amazon: AWS Quickstart Guide
- Docker: Docker Quickstart Guide
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Question
When I try to use models such as s3d in Torch vision model, I get RuntimeError: input image (T: 1 H: 7 W: 7) smaller than kernel size (kT: 2 kH: 7 kW: 7) error. Why is this happening and how should I fix it ?
Additional
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