Can we simplify the structure of Yolov4?
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model-request
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Description
Hi teams,
The YoloV4 model at here is too complicated and hard to be optimized.
And I have generated a new YoloV4 model by onnx-simplifier based on your Yolov4.
Is it possible to replace existed YoloV4 with the sim-YoloV4?
Contributor guide
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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
Start with the existing model in vision/object_detection_segmentation/yolov4 and compare it with the sim-YoloV4 model linked in the issue. Determine whether the simplified model can replace the existing one while preserving the repository's expected model behavior; completion requires maintainer agreement on the replacement and its validation.
Written by the indexing model from the issue text.
Assessment
- Domain
- computer-vision, machine-learning
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100