test.py

import numpy as np
import cv2
import os

image1 = r'C:\Users\ITRIUser\Desktop\Untitled.png'
image2 = r'C:\Users\ITRIUser\Desktop\Untitled2.png'
image3 = r'C:\Users\ITRIUser\Desktop\Untitled3.jpg'
background_path = 'raw_background.jpg'

bg = cv2.imread(background_path)
I0 = cv2.imread(image1)
I1 = cv2.imread(image2)
I2 = cv2.imread(image3)
IG0 = cv2.cvtColor(I0, cv2.COLOR_BGR2GRAY)
IG1 = cv2.cvtColor(I1, cv2.COLOR_BGR2GRAY)
IG2 = cv2.cvtColor(I2, cv2.COLOR_BGR2GRAY)
bgg = cv2.cvtColor(bg, cv2.COLOR_BGR2GRAY)
BI = (IG0 - IG1)


thresh = 50
im_bw = cv2.threshold(BI, thresh, 255, cv2.THRESH_BINARY)[1]
im_bw2 = cv2.bitwise_not(im_bw)
final = cv2.medianBlur(im_bw, 3)

cv2.imshow('name', final)
cv2.waitKey(0)



"""

import numpy as np
import cv2 as cv

org = cv.imread('raw_background.jpg', 0)
mask = cv.imread('test1.jpg', 0)
if org is None:
    print("Error: Unable to load raw_background.jpg")
    exit()
if mask is None:
    print("Error: Unable to load test1.jpg")
    exit()

if org.shape != mask.shape:
    print("Error: The images must be the same size for bitwise operations.")
    exit()

org = IG1
mask = IG2

current = org.copy()

tracker = 0
while True:
    cv.imshow('org', current)
    k = cv.waitKey(0)

    if k == ord('c'):
        if tracker == 0:
            current = cv.bitwise_xor(org, mask)
            tracker += 1
        elif tracker == 1:
            current = cv.threshold(current, thresh, 255, cv2.THRESH_BINARY)[1]
            tracker = 2
        elif tracker == 2:
            current = org.copy()
            tracker = 0
    if k == 27:
        break

cv.destroyAllWindows()
"""