Prerequisites: OpenCV Python Tutorial
OpenCV (Open Source Computer Vision) is a computer vision library that contains various functions to perform operations on pictures or videos. This library is cross-platform that is it is available on multiple programming languages such as Python, C++, etc.
Green Screen removal is used in the VFX industry for changing the scenes. Here, we will use OpenCV – Python to do the same.Â
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Approach:
- Import all necessary libraries
- Load the images or videos
- Resize the images and the videos to the same size
- Load the upper and lower BGR values of the green color
- Apply the mask and then use bitwise_and
- Subtract bitwise_and from the original green screen image
- Check for matrix value 0 after subtraction and replace it by the second image
- You get the desired results.
Below is the implementation.Â
Python3
import cv2 import numpy as np   video = cv2.VideoCapture("green.mp4") image = cv2.imread("bg.jpeg")   while True:       ret, frame = video.read()       frame = cv2.resize(frame, (640, 480))     image = cv2.resize(image, (640, 480))         u_green = np.array([104, 153, 70])     l_green = np.array([30, 30, 0])       mask = cv2.inRange(frame, l_green, u_green)     res = cv2.bitwise_and(frame, frame, mask = mask)       f = frame - res     f = np.where(f == 0, image, f)       cv2.imshow("video", frame)     cv2.imshow("mask", f)       if cv2.waitKey(25) == 27:         break   video.release() cv2.destroyAllWindows() |
Output:Â
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