Cfrgtkky

I have this opencv python code for motion detection. A rectangle box will outline the detected motion. Now i want to execute a statement(eg: print("you are standing in the frame for more than a minute"). The statement should be executed only when the person stands for more than 60 seconds.else the loop should run normally. This is my code.

# import the necessary packages

from imutils.video import VideoStream

import argparse

import datetime

import imutils

import time

import cv2



# construct the argument parser and parse the arguments

ap = argparse.ArgumentParser()

ap.add_argument("-v", "--video", help="path to the video file")

ap.add_argument("-a", "--min-area", type=int, default=500, help="minimum area size")

args = vars(ap.parse_args())



# if the video argument is None, then we are reading from webcam

if args.get("video", None) is None:

    vs = VideoStream(src=0).start()

    time.sleep(2.0)



# otherwise, we are reading from a video file

else:

    vs = cv2.VideoCapture(args["video"])



# initialize the first frame in the video stream

firstFrame = None

# loop over the frames of the video

while True:

    # grab the current frame and initialize the occupied/unoccupied

    # text

    frame = vs.read()

    frame = frame if args.get("video", None) is None else frame[1]

    text = "Unoccupied"



    # if the frame could not be grabbed, then we have reached the end

    # of the video

    if frame is None:

        break

    # resize the frame, convert it to grayscale, and blur it

    frame = imutils.resize(frame, width=500)

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

    gray = cv2.GaussianBlur(gray, (21, 21), 0)



    # if the first frame is None, initialize it

    if firstFrame is None:

        firstFrame = gray

        continue

    # compute the absolute difference between the current frame and

    # first frame

    frameDelta = cv2.absdiff(firstFrame, gray)

    thresh = cv2.threshold(frameDelta, 25, 255, cv2.THRESH_BINARY)[1]



    # dilate the thresholded image to fill in holes, then find contours

    # on thresholded image

    thresh = cv2.dilate(thresh, None, iterations=2)

    cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL,

        cv2.CHAIN_APPROX_SIMPLE)

    cnts = cnts[0] if imutils.is_cv2() else cnts[1]



    # loop over the contours

    for c in cnts:

        # if the contour is too small, ignore it

        if cv2.contourArea(c) < args["min_area"]:

            continue



        # compute the bounding box for the contour, draw it on the frame,

        # and update the text

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

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

        text = "Occupied"

    # draw the text and timestamp on the frame

    cv2.putText(frame, "Room Status: {}".format(text), (10, 20),

        cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)

    cv2.putText(frame, datetime.datetime.now().strftime("%A %d %B %Y %I:%M:%S%p"),

        (10, frame.shape[0] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.35, (0, 0, 255), 1)



    # show the frame and record if the user presses a key

    cv2.imshow("Security Feed", frame)

    cv2.imshow("Thresh", thresh)

    cv2.imshow("Frame Delta", frameDelta)

    key = cv2.waitKey(1) & 0xFF



    # if the `q` key is pressed, break from the lop

    if key == ord("q"):

        break



# cleanup the camera and close any open windows

vs.stop() if args.get("video", None) is None else vs.release()

cv2.destroyAllWindows()