TF-FaceLandmarkDetection

Face landmark detection using tensorflow Reproduction of the paper Deep Convolutional Network Cascade for Facial Point Detection

Requirements

• Python 3.4
• Tensorflow 0.10.0

Usage

• git clone https://github.com/mariolew/TF-FaceLandmarkDetection/edit/master
• Prepare data: You should have a text file, each line of the text file should have the format: image_path bbx_left bbx_right bbx_top bbx_bottom landmark1_x landmark1_y ... landmarki_x landmarki_y
• Modify the text file path and the path to store augmented images in augment.py and do python3 augment.py
• Modify some paths and params in model_train.py and do python3 model_train.py to train a face alignment model
• Modify some paths and params in model_eval.py and do python3 model_eval.py to evaluate the trained model

Note

This repo is based on https://github.com/luoyetx/deep-landmark and https://github.com/pkmital/CADL and is still ongoing.

Achievements

Level1: Done

Level2: TODO

Level3: TODO

References

[1] Deep Convolutional Network Cascade for Facial Point Detection

[2] deep-landmark

[3] Creative Applications of Deep Learning w/ Tensorflow