Basic Motion Detiction - Python(OpenCV)

import cv2

import  numpy as np



cap = cv2.VideoCapture('vtest.avi')



ret, frame1 = cap.read()

ret, frame2 = cap.read()



while cap.isOpened():

   diff = cv2.absdiff(frame1, frame2)

   gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY)

   blur = cv2.GaussianBlur(gray, (5,5), 0)

   _, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY)

   dilated = cv2.dilate(thresh, None, iterations=3)

   contours, _ = cv2.findContours(dilated, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)



   for contour in contours:

       (x, y, w, h) = cv2.boundingRect(contour)



       if cv2.contourArea(contour) < 900:

           continue

       cv2.rectangle(frame1, (x, y), (x+w, y+h), (0, 255, 0), 2)

       cv2.putText(frame1, "status: {}".format('Movement'), (10, 20), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 3)

   #cv2.drawContours(frame1, contours, -1, (0, 255, 0), 2)

   cv2.imshow("feed", frame1)

   frame1 = frame2

   ret, frame2 = cap.read()



   if cv2.waitKey(40) == 27:

        break



cv2.destroyAllWindows()

cap.release()