The book “OpenCV: Computer Vision with Python” provides a fast-paced introduction to OpenCV’s Python bindings using a real-time face-tracking project as an example. Integration with NumPy and SciPy, and optional integration with OpenNI and SensorKinect, is also covered.
Topics, by chapter:
- Setting up Python, NumPy, SciPy, OpenCV, OpenNI, and SensorKinect on Windows, Mac, and Ubuntu.
- Working with cameras, image/video files, and GUIs using OpenCV. Understanding how OpenCV uses NumPy arrays as image data.
- Applying filters to live video using OpenCV and SciPy.
- Tracking and manipulating faces using OpenCV.
- Refining face tracking results using data from a depth camera, such as Microsoft Kinect or Asus XtionPRO.
- Replacing OpenCV’s built-in GUI system with a 3rd-party alternative, such as PyGame.
- Training OpenCV to track custom targets, not just faces.
All in 100 pages!
The author, Joseph Howse, is a developer of augmented reality applications at Ad-Dispatch.
The book can be purchased from PacktPub either as a physical book or as a PDF eBook.
Source code and setup tools are available from the author’s website.
