Implementing YOLOv4
Open
Nobody has claimed this yet.
s: keep open
t: feature request
- Dominant language
- C++
- Stars
- 44
- Forks
- 40
- PR merge metrics
- No merged PRs in 30d
Description
Hey everyone, I will be working on implementing YOLOv4 in mlpack for a college project. I'm opening this issue to prevent conflicts incase someone also starts working on it.
Thanks.
Contributor guide
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.
Research direction
The issue proposes implementing YOLOv4 in the mlpack/models repository but names no files, tests, or entry points. First determine the intended model location and project requirements, then define the implementation scope and tests needed to establish that YOLOv4 is complete.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100