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Learning OpenCV 4 Computer Vision with Python 3 - Third Edition
book

Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

by Joseph Howse, Joe Minichino
February 2020
Intermediate to advanced
372 pages
9h 26m
English
Packt Publishing
Content preview from Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Initializing the tracker

The __init__ method involves a lot of steps to initialize the camera matrix, the ORB descriptor extractor, the Kalman filter, the reference image's 2D and 3D keypoints, and other variables related to our tracking algorithm:

  1. To begin, let's look at the arguments that __init__ accepts. These include a cv2.VideoCapture object, called capture (the camera); the camera's diagonal FOV, in degrees; the expected frame rate in frames per second (FPS); a path to a file containing the reference image; and a measurement of the reference image's real-world height (in any unit):
class ImageTrackingDemo():    def __init__(self, capture, diagonal_fov_degrees=70.0,                 target_fps=25.0,                 reference_image_path='reference_image.png', reference_image_real_height=1.0): ...
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Publisher Resources

ISBN: 9781789531619Supplemental Content