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Face-alignment-in-3000fps

This project is a C++ reimplementation of face alignment in 3000fps in the CVPR 2014 paper: Face Alignment at 3000 FPS via Regressing Local Binary Features. .

Update openMP support !!!

I modify my code to support openMP. You can use it in GCC(Linux) or in VS (Windows).

If you use it in Linux, you should comment or uncomment FIND_PACKAGE( OpenMP REQUIRED) in CmakeLists.txt.

If you use it in Windows, you can directly use it.

VS project

I add a VS project.

Usage

  1. Download datasets and get Path_Images.txt as jwyang/face-alignment.

  2. To compiler the program: go to folder build and

    cmake .

    make

  3. To train a new model: set global parameters, model path, train database name in LBF.cpp. Use "LBF.out TrainModel".

  4. To test a model on dataset: set model path, test dataset name in LBF.cpp. Use "LBF.out TestModel".

###Model I have trained a model on AFW, HELEN,LFPW dataset. You can download it from here or google drive.

FAQ

Contact

If you have any question, you can create an issue on GitHub. Or you can email ylqzd2011@gmail.com

Reference Project