Facial Attractiveness Prediction

This is the repository for the predicting facial attractiveness using landmark features and gabor filters.

Features obtained from:

• Facial Distances
• Facial Ratios
• Gabor Filters

How to run:

• All features first must be generated by running generate_features.py
• Then you can train your own model by running train.py
• You can test with a single image by running demo.py (give the path at the beginning)

Required libraries: Dlib, OpenCV, numpy, scipy,sklearn,imutils

Validation results:

Demo:

Please see http://www.hcii-lab.net/data/SCUT-FBP/EN/introduce.html to download the entire dataset.