johnolafenwa/DeepStack

Face Training - Timeout

Opened this issue · 4 comments

tommyjlong commented

Today, I built the CPU version:

 $sudo docker run -e VISION-DETECTION=True -e VISION-FACE=True -e MODE=High -v localstorage:/datastore -p 83:5000 --name ds_object_face deepquestai/deepstack
DeepStack: Version 2021.02.1
/v1/vision/face
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/v1/vision/face/recognize
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/v1/vision/face/register
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/v1/vision/face/match
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/v1/vision/face/list
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/v1/vision/face/delete
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/v1/vision/detection
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v1/backup
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v1/restore

Run this curl command

curl -X POST -F 'image=@image1.JPG' -F 'userid="Fred"' 'http://DSIPADDR:83/v1/vision/face/register'

After 60secs it returns: {"success":false,"error":"failed to process request before timeout","duration":0}

DeepStack Log: [GIN] 2021/02/18 - 22:36:12 | 500 | 1m0s | DSIPADDR | POST /v1/vision/face/register

tommyjlong commented

I wanted to report that I installed the Windows10 2021.02.1 CPU version and it works for face register. So the error I reported above appears to pertain only to the Docker build of 2021.02.1 CPU.

pnewnam commented

I ran into the same problem running on Docker. It looked like I had plenty of memory but it appears that when running face training there is a memory spike from 0.5Gb to 4Gb. As a result there was probably not enough memory to allow for that spike and face training. I stopped a couple of other containers and restarted Deep Stack with more than 4Gb of memory overhead. Face training worked perfectly and there was a move up to 4Gb from 0.5Gb. I then restarted the Deep Stack container and it resettled at 0.5Gb again. So looks like for face training to work in the docker container you need at least 4Gb of free memory prior to starting face training. As a side not the logs did not indicate any issue.

tommyjlong commented

Other users on the Home Assistant Forum have reported that this issue does NOT exist in this particular Docker image: deepquestai/deepstack:cpu-x5-beta

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JurajNyiri commented

Having the same issue on Mac M1 Mini, using the latest, or the first available arm image.

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