September 2014
Intermediate to advanced
512 pages
12h 39m
English
Content preview from IPython Interactive Computing and Visualization CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Detecting faces in an image with OpenCV
OpenCV (Open Computer Vision) is an open source C++ library for computer vision. It features algorithms for image segmentation, object recognition, augmented reality, face detection, and other computer vision tasks.
In this recipe, we will use OpenCV in Python to detect faces in a picture.
Getting ready
You need OpenCV and the Python wrapper. You can find installation instructions on OpenCV's website, http://docs.opencv.org/trunk/doc/py_tutorials/py_tutorials.html.
On Windows, you can install Chris Gohlke's package, available at www.lfd.uci.edu/~gohlke/pythonlibs/#opencv.
You also need to download the Family dataset from the book's GitHub repository at https://github.com/ipython-books/cookbook-data.
Note
OpenCV ...
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