Capture and Display Face from Live Stream Video Using Python

Introduction

Face detection and manipulation are fundamental tasks in computer vision. With the help of OpenCV, a popular computer vision library, we can easily achieve these tasks using Python. In this tutorial, we will guide you through the process of capturing faces from a live stream video and displaying them on the top corner of the screen.

Prerequisites

Before we begin, ensure you have the following prerequisites installed:

• Python (3.6 or higher)
• OpenCV library (pip install opencv-python)
• Haarcascades XML file for face detection (download it from here )

video stream.

Python Program

import cv2

cam = cv2.VideoCapture (0


while True:


? ? status, photo = cam.read()?
? ? photo[0:200,0:150]= photo [100:300, 150:300]


? ? cv2.imshow("myphoto", photo)


? ? if cv2.waitKey(10) == 13:


? ? ? ? break


   cv2.destroyAllWindows()

   cam.release()        

Conclusion

Congratulations! You've successfully built a Python script that captures faces from a live stream video and displays them on the top corner of the screen using the power of OpenCV. This skill has a wide range of potential applications, from enhancing video conferencing experiences to improving security systems.

Feedback/queries

I hope this article will be useful for you and that you learned something new Please, feel free to drop any questions in the comments below. I would be happy to answer them.

Thanks for reading ????