panda-lab / face-landmark

caffe 68 points face-landmark

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face-landmark-localization

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

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

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

  • 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

About

caffe 68 points face-landmark


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Language:Python 90.5%Language:C++ 9.5%