Demo project to detect facial landmarks using 68 coordinates in images

python facial_landmarks.py

• tensorflow >= 1.0

• keras >= 2.0

• opencv >= 3.0

• dlib

• numpy

• shape_predictor_68_face_landmarks.dat

• opencv should be compiled with ffmpeg support.
• Conda virtual environment can be created using the following command.

conda env create -f requirements.yml -n emopy_2

• shape_predictor should be inside root directory of this project. Shape predictor can be downloaded to project using the following script.

cd /path-to-project
wget "http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2"
bzip2 -d shape_predictor_68_face_landmarks.dat.bz2