Megvii-BaseDetection / Megvii-BaseDetection/YOLOX

Pruning YoloX

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Dominant language
Python
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Description

Hi there,

Any recommendation of tools (including free ones) that can be used to "prune" yoloX models?

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files, tests, or entry points are named. This is an unanswered request for recommendations on pruning YOLOX models, so first establish whether the project intends to document or support a pruning workflow. Done would require a settled recommendation and a clearly defined project change.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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