Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
problem to evaluate on custom test set!
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- Dominant language
- Python
- Stars
- 10.6k
- Forks
- 2.5k
- PR merge metrics
- No merged PRs in 30d
Description
Quit tough to evaluate on test set of custom dataset, the dock file has to be improved further while only has training guide!
One has to change the code in yolox_base.py file when testing on his custom test set!
really confused!
It's supposed to carry out this config on the EXP file of user, not the yolox_base.py file!
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 by reading _yolox_base.py and the user's EXP file, then review the Dockerfile and existing training guide to understand how custom datasets are configured. Done means a custom test-set evaluation can be configured through the user's EXP file without editing _yolox_base.py, with the relevant Docker workflow documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- dockerfile, python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100