detect.py

import cv2
file_path = input("Enter the exact file path to the video: ")
cap = cv2.VideoCapture(file_path)

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)
    dialated = cv2.dilate(thresh, None, iterations=3)
    contours, _ = cv2.findContours(
        dialated, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

    for contour in contours:
        (x, y, w, h) = cv2.boundingRect(contour)
        if cv2.contourArea(contour) < 1000:
            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("Live Feed", frame1)
    frame1 = frame2
    ret, frame2 = cap.read()
    if cv2.waitKey(40) == 27:
        break
cv2.destroyAllWindows()
cap.release()