master.py

# USAGE
# python motion_detector.py
# python motion_detector.py --video videos/example_01.mp4

# import the necessary packages
from imutils.video import VideoStream
import argparse
import datetime
import imutils
import time
import cv2

from heartbeat import heartbeat_Init


Heartbeat_Thread = heartbeat_Init()
Heartbeat_Thread.daemon = True
Heartbeat_Thread.start()


# 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
prevFrame = vs.read()
prevFrame = imutils.resize(prevFrame, width=500)
prevFrame = cv2.cvtColor(prevFrame, cv2.COLOR_BGR2GRAY)
prevFrame = cv2.GaussianBlur(prevFrame, (21, 21), 0)

# 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:
                print('No Frame')
                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)

        
        
                
        

        # compute the absolute difference between the current frame and
        # first frame
        frameDelta = cv2.absdiff(prevFrame, 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 = imutils.grab_contours(cnts)

        # loop over the contours
        if cnts ==[]:
                Heartbeat_Thread.Object_Detected = False
        else:        
                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)
                        
                        print('Obstacle Detected: Break Lights ON')
                       
                        Heartbeat_Thread.Object_Detected = True
                        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)

        # Setting the current frame to the prev frame for the next iteration
        prevFrame = gray

        
        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()