DigitalFace Makeup
This project is done as a part of Digital Image Processing coursework.This applies the make up from a
reference image to a target on a pixel by pixel basis. The reference and target were aligned by warping
using 77 detected face landmarks. The images were decomposed into large scale layer, detail layer and
color layer through which makeup highlights and color information were transferred by weighted means and
alpha blending.
The test results showed that the techniques work wellwith reference images of a different age,
a different skin color and even a hand-sketched reference image.
Prerequisites
* dlib==19.18.0
* numpy==1.17.4
* opencv-python==4.1.2.30
* scipy==1.3.3
Install the above requirements by 'sudo pip3 install -r requirements.txt'
Installing
* Clone this repo in your local machine usine 'git clone https://github.com/faixan-khan/Make_Up.git'
* Install all the requirements using 'pip3 install requirements.txt'
Running the tests
* Do 'python3 Makeup.py source refrence'
* Select the Forehead points of Source Image using mouse
* Similarly select the Forehead points of thre refrence image
* After some time the Final output will be displayed'
* Press 'shift key' to exit the program'
Contributing
* Fork the project.
* Clone this repository to your local machine.
* Now add upstream by using command - **git remote add upstream "name of my repo"**
* Create a new branch on your local machine.
* Start contributing and make a pull request to apply these changes.
See also the list of contributors who participated in this project.
Refrences
DigitalFace Makeup by Example by Dong Guo and Terence Sim