this repository is the implementation of MTCNN with no framework, only depend on opencv and openblas.
"Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks", implemented with C++，no framework
it is very easy for you to use.
it is can be a part of your project with no framework, like caffe and mxnet.
it is real time for VGA, and you can improve it's runtime.
The average time cost is about 68ms per frame(640,480).The result is generated by testing a camera. mini_size is 40
cpu i5-4590
os windows10 64bit
opencv 2.0+
openblas
you can find many tutorials.
It is very easy to install
Install from source
1 download the source code from https://github.com/xianyi/OpenBLAS
2 Extract it and type "cd xxx", xxx means the directory
3 type "make"
4 type "make install PREFIX=your_installation_directory"
Install by apt
sudo apt-get install libopenblas-dev
or
sudo apt-cache search openblas
you will get the following message
dmrgpp - Density matrix renormalization group algorithm
libblas-test - Basic Linear Algebra Subroutines 3, testing programs
libblas64-test - Basic Linear Algebra Subroutines 3, testing programs (64bit-index)
libjulia-openblas64 - Optimized BLAS (linear algebra) library (julia version)
libopenblas-base - Optimized BLAS (linear algebra) library (transitional)
libopenblas-dev - Optimized BLAS (linear algebra) library (dev, meta)
libopenblas-openmp-dev - Optimized BLAS (linear algebra) library (dev, openmp)
libopenblas-pthread-dev - Optimized BLAS (linear algebra) library (dev, pthread)
libopenblas-serial-dev - Optimized BLAS (linear algebra) library (dev, serial)
libopenblas0 - Optimized BLAS (linear algebra) library (meta)
libopenblas0-openmp - Optimized BLAS (linear algebra) library (shared lib, openmp)
libopenblas0-pthread - Optimized BLAS (linear algebra) library (shared lib, pthread)
libopenblas0-serial - Optimized BLAS (linear algebra) library (shared lib, serial)
libopenblas64-0 - Optimized BLAS (linear algebra) library (shared lib, 64bit, meta)
libopenblas64-0-openmp - Optimized BLAS (linear algebra) library (shared lib, 64bit, openmp)
libopenblas64-0-pthread - Optimized BLAS (linear algebra) library (shared lib, 64bit, pthread)
libopenblas64-0-serial - Optimized BLAS (linear algebra) library (shared lib, 64bit, serial)
libopenblas64-dev - Optimized BLAS (linear algebra) library (dev, 64bit, meta)
libopenblas64-openmp-dev - Optimized BLAS (linear algebra) library (dev, 64bit, openmp)
libopenblas64-pthread-dev - Optimized BLAS (linear algebra) library (dev, 64bit, pthread)
libopenblas64-serial-dev - Optimized BLAS (linear algebra) library (dev, 64bit, serial)
Then choose a package you want to install by apt
sudo apt-get install libopenblas-dev
#or
sudo apt-get install libopenblas64-dev
apt-get install cmake
cd root_directory
vim CMakeLists.txt
change include_directories(the_directory_of_openblas_include_of_yours)
change link_directories(the_directory_of_openblas_lib_of_yours)
save and exit
./build.sh
cd products/bin
# 1. run default
./mtcnn_image
# 2. run customize
./mtcnn_image [image path]
There have binary packages of openblas for windows, all you needed is download it to local.
Please be careful, if you download the 64bit, you need configure the opencv and vs project environment with 64bit rather than x86