March 2018
Beginner to intermediate
306 pages
9h 54m
English
Content preview from OpenCV 3 Computer Vision with Python Cookbook
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How it works...
As in the earlier recipes, working with cameras and video frame streams is done through the cv2.VideoCapture class. You can get properties using the capture.get function, which takes the property ID and returns its value as a floating-point value.
Note that, depending on the OS and video backend used, not all of the properties being requested can be accessed.
The following output is expected (it might vary depending on the OS and the video backend that OpenCV was compiled with):
Created capture: ../data/drop.avi Frame count: 182 Frame width: 256 Frame height: 240 Frame rate: 30.0Created capture: 0 Frame count: -1 Frame width: 640 Frame height: 480 Frame rate: 30.0