Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Implementing the MeanShift example

Let's go sequentially through the implementation of our MeanShift example:

1. Like our basic background subtraction example, our MeanShift example begins by capturing (and discarding) several frames from a camera so that the autoexposure can adjust:

import cv2cap = cv2.VideoCapture(0)# Capture several frames to allow the camera's autoexposure to # adjust.for i in range(10):    success, frame = cap.read()if not success:    exit(1)

2. By the 10th frame, we assume that the exposure is good; therefore, we can extract an accurate histogram of a region of interest. The following code defines the bounds of the region of interest (ROI):

# Define an initial tracking window in the center of the frame.frame_h, frame_w = frame.shape[:2] ...