OpenCV is a huge open-source library for computer vision, machine learning, and image processing. It can process images and videos to identify objects, faces, or even the handwriting of a human. In this article, we will see how to convert a colored video to a gray-scale format.
- Import the cv2 module.
- Read the video file to be converted using the cv2.VideoCapture() method.
- Run an infinite loop.
- Inside the loop extract the frames of the video using the read() method.
- Pass the frame to the cv2.cvtColor() method with cv2.COLOR_BGR2GRAY as a parameter to convert it into gray-scale.
- Display the frame using the cv2.imshow() method.
Example: Suppose we have the video file CountdownTimer.mov as the input.
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course