What is the principle of face comparison? Is the feature space distance?
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 18/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- computer-vision, machine-learning
Research direction
The issue asks how face comparison works and whether it uses feature-space distance, but names no files, tests, or entry points. First clarify the intended documentation change and identify the relevant project material; done would be an agreed explanation added to the appropriate documentation.
Written by the indexing model from the issue text.
Description
What is the principle of face comparison? Is the feature space distance?
- Dominant language
- Python
- Stars
- 56.8k
- Forks
- 13.7k
- PR merge metrics
- No merged PRs in 30d
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.
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