Megvii-BaseDetection / Megvii-BaseDetection/GFSD
Integrating the training of the base model
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- Dominant language
- Python
- Stars
- 50
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
I noticed that you use the pretrained base-class model form another repo. In the end, I guess it would also be possible to train it using CVPODS by adding another exp folder and the required files to the playground folder. Is there a simple way to achieve this? Would be nice to have everything at one place. And would be good example to start developing new Few-Shot Methods using your framework and dataset splits etc. What would I have to add? Or could you add this? Thx in advance.
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start by reviewing the existing playground structure and exp folders, then trace how the pretrained base-class model from the other repository is currently consumed through CVPODS. The scope is not defined enough to name specific files or tests; completion would require a documented training entry point and example configuration that works with the project's dataset splits.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100