October 2016
Intermediate to advanced
558 pages
12h 39m
English
Content preview from OpenCV: Computer Vision Projects with PythonBecome 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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Testing and improving <cascade>
<cascade> is an XML file that is compatible with the constructor for OpenCV's CascadeClassifier class. For
an example of how to use CascadeClassifier, refer back to our implementation of FaceTracker in Chapter 4, Tracking Faces with Haar Cascades. By copying and modifying FaceTracker and Cameo, you should be able to create a simple test application that draws rectangles around tracked instances of your custom target.
Perhaps in your first attempts at cascade training, you will not get reliable tracking results. To improve your training results, do the following:
- Consider making your classification problem more specific. For example, a
bald, shaven, male face without glassescascade might be easier to train than ...
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