OpenCV 3 Computer Vision with Python Cookbook

How to do it...

Here are the steps we need to execute in order to complete this recipe:

1. First, we create a camera capture object, as in the previous recipes, and get the frame height and width:

import cv2capture = cv2.VideoCapture(0)frame_width = int(capture.get(cv2.CAP_PROP_FRAME_WIDTH))frame_height = int(capture.get(cv2.CAP_PROP_FRAME_HEIGHT))print('Frame width:', frame_width)print('Frame height:', frame_height)

2. Create a video writer:

video = cv2.VideoWriter('../data/captured_video.avi', cv2.VideoWriter_fourcc(*'X264'),                        25, (frame_width, frame_height))

3. Then, in an infinite while loop, capture frames and write them using the video.write method:

while True:    has_frame, frame = capture.read()    if not has_frame: print('Can\'t get frame') ...