MTCNN MXNET C++ Implementation

This is a C++ project to implement MXNET MTCNN, a perfect face detect algorithm, on different DL frameworks.

install dependencies

# For linux(ubuntu)
sudo apt-get install -y libopenblas-dev liblapack-dev
sudo apt-get install -y libopencv-dev

# For Mac
brew install openblas
brew install opencv

Build

mkdir -p build
cd build
cmake -DUSE_CUDA=0 ..

• make -j ${nproc}

Run

run picture

bin/test_picture -f <photo> -m models

run camera

If the basic work is ready (build caffe/Mxnet/Tensorflow sucessfully) followed by above steps. You can run the test now.

1. Test on single picture:

./test -f photo_fname [ -t DL_type] [-s] 
  -f photo_fname  picture to be  detected
  -t DL_type      DL frame: "caffe" , "mxnet"(default) or "tensorflow"
  -s              Save face chop into jpg files

The new picture, which boxed face and 5 landmark points will be created and saved as "new.jpg"

2. Test on camera (DL Framework is caffe)

./run.sh

Release History

Version 0.1.0 - 2018-2-11

• Modified readme file.
• Modified makefile.mk.
• Add run.sh script

Credit

MTCNN algorithm

https://github.com/kpzhang93/MTCNN_face_detection_alignment

MTCNN C++ on Caffe

https://github.com/wowo200/MTCNN

MTCNN python on Mxnet

https://github.com/pangyupo/mxnet_mtcnn_face_detection

MTCNN python on Tensorflow

FaceNet uses MTCNN to align face

https://github.com/davidsandberg/facenet

From this directory:

facenet/src/align