source_code.py

import cv2 as cv
import numpy as np
import time
video=cv2.VideoCapture(0,cv2.CAP_DSHOW)
time.sleep(3)
for i in range(60):
    check,background=video.read()
background=np.flip(background,axis=1)

while(video.isOpened()):
    check,img=video.read()
    if check==False:
        break
    img=np.flip(img,axis=1)
    hsv=cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
    lower_red=np.array([0,120,50])
    upper_red=np.array([10,255,255])
    mask1=cv2.inRange(hsv, lower_red, upper_red)
    lower_red=np.array([170,120,70])
    upper_red=np.array([180,255,255])
    mask2=cv2.inRange(hsv, lower_red, upper_red)
    mask1=mask1+mask2
    mask1=cv2.morphologyEx(mask1, cv2.MORPH_OPEN, np.ones((3,3),np.uint8))
    mask1=cv2.morphologyEx(mask1, cv2.MORPH_DILATE, np.ones((3,3),np.uint8))
    mask2=cv2.bitwise_not(mask1)

    res1=cv2.bitwise_and(img,img,mask=mask2)
    res2=cv2.bitwise_and(background,background,mask=mask1)

    final =cv2.addWeighted(res1,1,res2,1,0)
    cv2.imshow("final",final)
    key=cv2.waitKey(1)
    if key==ord('q'):
        break

video.release()
cv2.destroyAllWindow()