Closed ozett closed 1 year ago
could that work? https://github.com/timesler/facenet-pytorch
i found deepstack in your code... https://github.com/snowzach/doods2/blob/9dcda621cec9c1ddb487737383194f0c02dcde99/detectors/deepstack.py#L13
maybe facedetection from deepstack could be made usable?
I'm on the same way. I think using a different tensorflow model should be easy to implement.
My main problem is: I want to train the existing tensorflow model with false positive person detection images to make the detection result more reliable. But training Tensorflow models isn't that easy, you have to learn a lot about.
Anyone has an easy walkthrough to share?
I wish there was on.. sorry.. Gonna close this to clean up issues for now.
fiddling with deepstack i came to the idea that doods2 could have face-models. i see deepstack make use of ARCface and MobileFaceNet
https://github.com/johnolafenwa/DeepStack/blob/5da0520b855b8db0692c639a1d4d8c83a49e9883/intelligencelayer/shared/recognition/networks.py#L77-L78
https://github.com/johnolafenwa/DeepStack/blob/5da0520b855b8db0692c639a1d4d8c83a49e9883/intelligencelayer/shared/recognition/networks.py#L224
but i dont see how this could be implemented in doods2