Training YOLO on AMD GPU in window
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Quiet
- Tech stack
- machine-learning
- Domain
- machine-learning
Research direction
No file, test, entry point, or acceptance criteria is named. Start by reviewing the existing YOLO4 implementation and DirectML's current model-training support, then determine the intended AMD GPU workflow and define a testable scope before making changes.
Written by the indexing model from the issue text.
Description
Yes, I've encountered some issues related to model training, and I've also looked at the repo and found YOLO4, but the last update was 6 years ago. Yes, that's a long time. Maybe I'll rewrite it myself to be able to use AMD GPUs.
- Dominant language
- C++
- Stars
- 2.6k
- Forks
- 338
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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