This is a project predict face landmarks (68 points).

• Implementation of the Vanilla CNN described in the paper Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/

Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.linkedin.com/in/ishay2b

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VanillaCNN based face-landmark-localization

• Model Size : 3.3MB.
• Speed : 5ms per face on i5-2.7GHz CPU.
• VanillaCNN

Install

• caffe
• dlib face detector
• add libdlib.a to your project lib path
• add face_lardmark.cpp to your caffe project example folder
• opencv

Usage

• set Caffe and Dlib path in CMakeLists.txt
• CPP Demo : ./face_lardmark
• Python Demo: python face_landmark.py (created by jiangwqcooler)

notice

• This model was trained on dlib face detector. Other face detector may not get landmark result as good as dlib

Result