lightly-ai / lightly-ai/lightly-train
Add multi-scale feature support to TIMM
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- Dominant language
- Python
- Stars
- 1.7k
- Forks
- 116
- Avg merge
- 2d 21h
- Merged PRs (30d)
- 6
Description
- [ ] implement multi-scale feature support for the TIMM package, following #925
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
Start by reading issue #925, which this task says to follow, then locate the TIMM package integration in the repository. No file or test is named in this issue, so identify the relevant entry point and existing feature-output expectations before implementing support; done means multi-scale features are exposed as described by #925 and covered by appropriate tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 38/100