UltralyticsAssistant
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1 day ago 👋 Hello @YuShuTong666, thank you for your interest in Ultralytics 🚀! This is an automated response to let you know that an Ultralytics engineer will also assist soon.
We recommend checking out the Docs for detailed usage instructions and concepts. You can find many examples for both Python and CLI usage, which may already address similar queries.
If this is specifically a 🐛 Bug Report, please ensure to provide a minimum reproducible example so we can better assist in debugging the issue.
For custom training or usage ❓ Questions like yours, please provide more context if possible, such as dataset image examples or specific challenges faced during the backward process, and double-check you are adhering to our Tips for Best Training Results.
Additionally, you might want to join our community for more interactive discussions:
- For real-time chat, join our Discord 🎧.
- For detailed discussions, visit Discourse.
- Engage with the community on our Subreddit.
Upgrade
Make sure you are using the latest ultralytics package and that it's installed with all requirements in a Python>=3.8 environment with PyTorch>=1.8:
pip install -U ultralyticsEnvironment Options
You can run YOLO in verified environments where all dependencies are preinstalled, ensuring smooth operation:
- Notebooks with free GPU:
- Google Cloud Deep Learning VM. See GCP Quickstart Guide
- Amazon Deep Learning AMI. See AWS Quickstart Guide
- Docker Image. Check the Docker Quickstart Guide
Status
If the badge above is green, all Ultralytics CI tests are passing, ensuring that all YOLO Modes and Tasks are functioning correctly across various platforms.
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Question
How can I backward the pred.obb.conf and get the gradient of the input imgs using DetectionPredictor?
Additional
No response