Face tools

Language: Python 3

Targe platform: Raspberry Pi, Ubuntu, OSX

Libraries: Dlib, skimage

Installing Dlib

For Ubuntu

1. Install required packages

sudo apt-get install build-essential cmake
sudo apt-get install libgtk-3-dev
sudo apt-get install libboost-all-dev

2. Set up your virtual environment

3. Install dlib with Python bindings and skimage

pip install dlib
pip install scikit-image

See http://www.pyimagesearch.com/2017/03/27/how-to-install-dlib/ for more details.

For Raspberry Pi

See http://www.pyimagesearch.com/2017/05/01/install-dlib-raspberry-pi/.

Official guideline

http://dlib.net/compile.html

Face detection using Dlib

0. Install Dlib

1. Run the example code:

   python3 face_detector.py [IMAGE-FILE-NAME]

Facial landmark detection using Dlib

0. Install Dlib

1. Get a pre-trained model:

   wget http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2
   bunzip2 shape_predictor_68_face_landmarks.dat.bz2 

2. run the example code

   python3 face_landmark_detection.py shape_predictor_68_face_landmarks.dat [IMAGE_FILE_NAME]

Other Dlib python examples

https://github.com/davisking/dlib/tree/master/python_examples