This project aims to do virtual makeup on the face of a person using dib and keras libraries to detect the face mark, OpenCV and PIL libraries are used to for computer vision and image processing in this code.

• Install all required dependencies:

$ pip install dlib
$ pip install opencv-python
$ pip install numpy
$ pip install imutils
$ pip install tensorflow
$ pip install matplotlib

• Clone the Virtual-Makeup Repository on your System by using the below command

$ git clone https://github.com/xyfer17/Virtual-Makeup.git

• After these Click Here and download both the model files named hairnet_matting_30.hdf5 and shape_predictor_68_face_landmarks.dat from the drive.

• After these copy the model files and paste inside the folder named models in the cloned Virtual-Makeup Reposistory that you cloned previously.

$ python demo.py -i [ image path]  -c [ hair color code R G B format]

$ python demo.py -i "assets/5.jpg"  -c 0  0  255