toz

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my new compreface instance is ver 0.61 (jumped from 0.6.0). not sure if its from the new code, but if it try to train my images with this new gpu-model...

weird. on my first seperate CPU maschine i got now cuda-errors. but on this maschine is no nvidia-gpu. how did this switched over? ``` compreface-core | 2021-11-07 18:22:22.181578: E tensorflow/stream_executor/cuda/cuda_driver.cc:351]...

still interesting modell-zoo for exploration of more accuracy and maybe faster detection: https://github.com/deepinsight/insightface/tree/master/python-package#model-zoo

thanks for pointing out. i will observe the mqtt if i find clear critera to catch misses. i must start with a positve-match == the misses is empty. ![image](https://user-images.githubusercontent.com/5937811/139079151-937b3f19-04c1-4393-b532-3727b18c96b0.png)

i forgot about the api-service-url. GREAT. new ideas coming up... 👍 thanks a lot for bringing this up ... i will test the originating problem a bit more to find...

looks like mqtt sends only matches... got misses on the gui, but had nothing on the mqtt-topic... may you could check if sending is filtered only for matches?

i still want to catch all misses and unknown together (all faces marked RED in the gui). is there an easier way than filtering for borth "misses" && "unknown" array?...

there are mqtt-messages missing, while i am experimenting to find the right node-red flow. i see the gui filling up, but not the same mqtt-messages with unknown/missing .. can this...

All the RED-ones are missing in mqtt, but thats the ones i want to catch. i assumed they are also send through mqtt, even when their box-area is too small....

may try a different model with a custom compreface docker? -> https://github.com/jakowenko/double-take/issues/151