mtcnn
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MTCNN face detection implementation for TensorFlow, as a PIP package.
I am trying to optimise this model from `keras tensorflow` to `tensorflow tensorrt` I was able to extract `pb` file from `PNET` and `ONET` models from the file [factory.py](https://github.com/ipazc/mtcnn/blob/master/mtcnn/network/factory.py) When...
Hi, I'm trying to use `mtcnn` and upon running `example.py`, the only output I get is : ``` Using TensorFlow backend. ``` after this, the execution stops without any further...
I tried it on gray-scale images but it just returned '[]', could it work on gray scale images or it can only work on RGB images?
i am using this in images, what is the point of the threshold value? my results are the same with 0.1 and 0.9?
As mentioned by Nvidia here: https://devblogs.nvidia.com/speed-up-inference-tensorrt/ I am trying to implement TensorRT in this project, but unfortunately I am unable to find the .pb file. I am new to machine...
Found lagging if frame size goes beyond 100KB. Face detection accuracy affects if resolution comes down. What could be the optimal frame resolution and size for the face detect method?...
Hi I need to get tflite model of weights here to work with Android NNAPI . Could someone please help ? regards Avaish
Folks, How can I train with the current available code? Thanks,
@ipazc , could provide more details about the [benchmark](https://github.com/ipazc/mtcnn#benchmark) setup? In particular: - What minFaceSize, scaleFactor and stepsThreshold where used? - Could you please share the benchmark test images, so...