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Hi Ranganath try the following code:

import cv2 im = cv2.imread("image.jpg", 0) im1 = cv2.imread("image1.jpg", 0)

diff = cv2.absdiff(im, im1) ret, thresh = cv2.threshold(diff, 0, 255, cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU) contours, hierarchy = cv2.findContours(thresh, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE) mask = cv2.cvtColor(im1, cv2.COLOR_GRAY2BGR)

try: hierarchy = hierarchy[0] except: hierarchy = []

for contour in contours[:-1]: (x, y, w, h) = cv2.boundingRect(contour) area = cv2.contourArea(contour) if area>100: cv2.rectangle(im1, (x, y), (x+w, y+h), (255, 0, 0), 3)

cv2.imshow("mask", im1) cv2.imshow("thresh", thresh) cv2.waitKey(0)

Hi Ranganath try the following code:

import cv2
im = cv2.imread("image.jpg", 0)
im1 = cv2.imread("image1.jpg", 0)
0)
  
diff = cv2.absdiff(im, im1)
ret, thresh = cv2.threshold(diff, 0, 255, cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
contours, hierarchy = cv2.findContours(thresh, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
mask = cv2.cvtColor(im1, cv2.COLOR_GRAY2BGR)cv2.COLOR_GRAY2BGR)
  
try:
hierarchy = hierarchy[0]
except:
hierarchy = [][]
  
for contour in contours[:-1]:
(x, y, w, h) = cv2.boundingRect(contour)
area = cv2.contourArea(contour)
if area>100:
cv2.rectangle(im1, (x, y), (x+w, y+h), (255, 0, 0), 3)3)
  
cv2.imshow("mask", im1)
cv2.imshow("thresh", thresh)
cv2.waitKey(0)cv2.waitKey(0)