ageitgey / ageitgey/face_recognition
Using all 4-cores Raspberry pi
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- Dominant language
- Python
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- 56.8k
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Description
- face_recognition version:latest
- Python version:3.5
- Operating System:Raspbian
I've tried applying multiprocessing on my code to use all cpu cores but it doesn't seem to improve much(or at all). The code takes forever to run and even longer during the recognition. Not sure if I'm doing the multiprocessing wrong. Anybody able to improve this on the raspberry pi?
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
No file, test, or entry point is identified. Start by reproducing the reported recognition slowdown on Raspbian with Python 3.5 and the latest face_recognition version, then inspect the multiprocessing approach and measure CPU use across all four cores. Done would require a documented cause and a verified improvement or clear limitation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, raspberry-pi
- Domain
- embedded-iot, performance
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100