ageitgey / ageitgey/face_recognition
speed problem
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- Dominant language
- Python
- Stars
- 56.8k
- Forks
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Description
Hello,
Firstly, how can i do more than faster face search (know and unknown) and why using cpu %100 ?
how can i do make a more than faster search ?
example : i have a 100 K photo and i can search into my photo ? to more than faster
face_recognition ./pictures_of_people_i_know/ ./unknown_pictures/
pictures_of_people_i_know = 1 photo
unknown_pictures : 100.000 photos
how much time to proccess ?
how can i do 1 and 3 between ?
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 with the face_recognition CLI invocation shown in the issue and inspect how it processes one known photo against 100,000 unknown photos. Establish a reproducible timing and CPU baseline, then clarify the intended faster-search behavior and measurable completion criteria before changing code.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- cli, machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100