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Face Detection on Raspberry Pi 32/64 bits

Super fast face detection up to 80 FPS on a bare Raspberry Pi 4.

This is a ultra fast C++ implementation of the face detector of Linzaer running on a MNN framework.
https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB.

Paper: https://arxiv.org/abs/1905.00641.pdf
Size: 320x320

Special made for a bare Raspberry Pi see https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html

Frameworks.

Three frameworks are supported:

• Alibaba's MNN framework
  
• Tencent ncnn framework
  
• OpenCV dnn
  
  The frame rate is based upon the average execution time of the single frames.
  Loading frames from a file, plotting boxes, and showing the result on the screen are not taken into account.
  
  The MNN framework has also 8 bit quantized models. These are very fast.
  
  
  
  See the video at https://youtu.be/DERA83C9K2A

Thanks.

https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB