ageitgey / ageitgey/face_recognition
problems with using the library with celery
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- Python
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Description
Hi, I have flask app with following extensions used:
Python 3.7.2
Flask 1.0.2
Celery 4.3.0rc2
Face-recognition 1.2.3
And when I'm running this:
face_recognition.face_locations(image, model='cnn)
my worker fails with this output:
[2019-03-06 19:51:15,454: ERROR/MainProcess] Process 'ForkPoolWorker-8' pid:93763 exited with 'signal 11 (SIGSEGV)'
[2019-03-06 19:51:15,472: ERROR/MainProcess] Task handler raised error: WorkerLostError('Worker exited prematurely: signal 11 (SIGSEGV).')
I know, that celery workers are not fork safe but still hope that there's a solution for my case
Any help appreciated
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.
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Research direction
Start by reproducing face_recognition.face_locations(image, model='cnn') in the listed Flask and Celery environment, then investigate the worker's SIGSEGV and WorkerLostError. The issue is done when the CNN call no longer crashes the worker or the supported limitation and workaround are documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100