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OpenCV 3 Computer Vision with Python Cookbook
book

OpenCV 3 Computer Vision with Python Cookbook

by Aleksei Spizhevoi, Aleksandr Rybnikov
March 2018
Beginner to intermediate
306 pages
9h 54m
English
Packt Publishing
Content preview from OpenCV 3 Computer Vision with Python Cookbook

How to do it...

For this recipe, the steps are as follows:

  1. Create a VideoCapture object:
import cv2capture = cv2.VideoCapture(0)
  1. Read the frames from the camera using the capture.read method, which returns a pair: a read success flag and the frame itself:
while True:    has_frame, frame = capture.read()    if not has_frame:        print('Can\'t get frame')        break     cv2.imshow('frame', frame)    key = cv2.waitKey(3)    if key == 27:        print('Pressed Esc')        break
  1. It's generally recommended that you release the video device (a camera, in our case) and destroy all the windows created:
capture.release()cv2.destroyAllWindows()
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Publisher Resources

ISBN: 9781788474443Supplemental Content