toz
toz
my try different port-setting in docker command? ``` -p 5001:5000 ``` wich is: ```-p use-this-nr-alsoin-deepstack-config-:5000```
> > my try different port-setting in docker command? `-p 5001:5000` wich is: `-p use-this-nr-alsoin-deepstack-config-:5000` > > Tried 4999:5000 already 5001 was already taken, by Frigate iirc i dont have...
updated today to v1.12.1-35874f3 and compreface [update to latest](https://github.com/exadel-inc/CompreFace/releases/tag/v1.0.0): CompreFace 1.0.0 i still have the spinning-wheel, if i reset all filter. is this intended? filters automatically came in:  reset...
maybe consider to send also "misses" if the bounding-box was smaller than configured. sometims still a match... but marked red because of the box-sizes. good to get that information over...
i turn out that the logo-detection is baseed on yolov5. so it could also be implemented directly or with doods2 https://github.com/snowzach/doods2/issues/28
looks like doubletake must first register all my collected faces in deepstack, before processing is possible. this will take a while as registering is poorly slow and i have 50+...
maybe i have to downgrade deepstack? because of supported version mentioned in readme.md? will try this too... ```docker pull deepquestai/deepstack:gpu-2021.06.1``` 🟥 not working 06.01 ``` root@ub20-frigate4:/usr/src# docker run --gpus all...
somebody is using double-take with the heaviest model. great. but it is eating memory... or is it double-take? -> https://github.com/exadel-inc/CompreFace/issues/569
they found the resnet taking ~ 1500 MB memory vs. (default) mobilefacenet ~ 720mb https://github.com/exadel-inc/CompreFace/issues/569#issuecomment-884852387 doubletake stays the shining winner! 👍
i got another instance of compreface [running with nvidia-gpu model](https://github.com/exadel-inc/CompreFace/issues/652#issuecomment-962651186). would be great to configure a second instance, but seems not possible to have 2 instances of compreface? could this...