Python wrapper for finding features in faces.

Stasm is a C++ software library for finding features in faces. PyStasm is a library wrapper with simplified Pythonic syntax using the Python C API built on top of OpenCV and NumPy. For example, to get a list of facial landmarks from an image:

import cv2, stasm
img = cv2.imread(imgpath, cv2.IMREAD_GRAYSCALE)
landmarks = stasm.search_single(img)

A full Python version of the minimal Stasm C++ example is located in the documentation.

• Python (tested on 2.7, 3.5)
• numpy >= 1.7
• OpenCV 3.0

The recommended way to install PyStasm is through PyPI:

$ pip install PyStasm

To build from source, make sure you have the OpenCV headers and libraries in your include/library paths and then run:

$ python setup.py install

For information specific to this wrapper, take a look at the PyStasm API reference. For further information about Stasm consult the user manual. To build the PyStasm docs:

$ pip install Sphinx
$ python setup.py build_ext --inplace
$ cd doc
$ make html

Questions? Comments? Contributions? Make a pull request or send me an email at [email protected].

Both this software and Stephen Milborrow's original Stasm library are subject to the terms of the BSD-style Stasm License Agreement, available in LICENSE.txt.