import cv2
import numpy as np
cap = cv2.VideoCapture(0)
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)
    A, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY)
    dialted = cv2.dilate(thresh, None)
    contours, A = cv2.findContours(dialted, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    for contour in contours:
        (x, y, w, h) = cv2.boundingRect(contour)
        if cv2.contourArea(contour) < 950:
            continue
        else:
            cv2.rectangle(frame1, (x, y), (x + w, y + h), (0, 0, 255), 2)
            cv2.putText(frame1, 'Warning: {}'.format(' Movement Detected '), (15, 25), cv2.FONT_HERSHEY_DUPLEX, 1, (10, 255,255),1)

    cv2.imshow('Saurabh Saha', frame1)
    frame1 = frame2
    ret, frame2 = cap.read()
    if cv2.waitKey(40) == 97:
        break
cap.release()
cv2.destroyAllWindows()