ageitgey / ageitgey/face_recognition
Knn classifier
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- Dominant language
- Python
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Description
Let's say I am using face recognition for security purposes. Then if someone wants to access , we take his pic and find the encodings and have to match them up against all of the encodings in database?
If we have a knn classifier with encodings in the database , everytime a new user registers shouldn't we recreate knn ?
How fast is knn compared to doing all the n matchings possible? (if there are n encodings in the databse)
Contributor guide
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Research direction
The issue asks conceptual questions about recreating a KNN classifier when users register and comparing KNN speed with matching all database encodings. No file, test, or entry point is identified; first clarify the expected behavior and performance goal, then define what an actionable change and its completion criteria would be.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100