;
var argparse = require('argparse');
var datetime = require('datetime');
var imutils = require('imutils');
var math = require('math');
var cv2 = require('opencv4nodejs');
var np = require('numpy');

width = 800;

textIn = 0;
textOut = 0;

function testIntersectionIn(x, y) {

    res = -450 * x + 400 * y + 157500;
    if((res >= -550) &&  (res < 550))) {
        console.log (str(res));
        return true;
    return false;
    }
}

function testIntersectionOut(x, y) {
    res = -450 * x + 400 * y + 180000;
    if (res >= -550) && (res <= 550))) {
        console.log (str(res));
        return true;
    }
    return false;
}
camera = cv2.VideoCapture('test2.mp4');

firstFrame = null;

// loop over the frames of the video
while (true) {
    // grab the current frame and initialize the occupied/unoccupied
    // text
    (grabbed, frame) = camera.read();
    text = 'Unoccupied';
}
    // if the frame could not be grabbed, then we have reached the end
    // of the video
    if (!grabbed) {
        break;
    }
    // resize the frame, convert it to grayscale, and blur it
    frame = imutils.resize(frame, width=width);
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY);
    gray = cv2.GaussianBlur(gray, (21, 21), 0);

    // if the first frame is None, initialize it
    if (firstFrame === null) {
        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, null, iterations=2);
    _, cnts, _ = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE);
    // loop over the contours
    for (c in cnts) {
        // if the contour is too small, ignore it
        if (cv2.contourArea(c) < 12000) {
            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);
        }
        cv2.line(frame, (width / 2, 0), (width, 450), (250, 0, 1), 2) #blue line;
        cv2.line(frame, (width / 2 - 50, 0), (width - 50, 450), (0, 0, 255), 2)#red line;
    }

        rectagleCenterPont = ((x + x + w) /2, (y + y + h) /2);
        cv2.circle(frame, rectagleCenterPont, 1, (0, 0, 255), 5);

        if(testIntersectionIn((x + x + w) / 2, (y + y + h) / 2))) {
            textIn += 1;
        }
        if(testIntersectionOut((x + x + w) / 2, (y + y + h) / 2))) {
            textOut += 1;
        }
        // draw the text and timestamp on the frame

        // show the frame and record if the user presses a key
        // cv2.imshow("Thresh", thresh)
        // cv2.imshow("Frame Delta", frameDelta)

    if (cv2.waitKey(1) & 0xFF == ord('q')) {
        break;
    }
    cv2.putText(frame, 'In: {}'.format(str(textIn)), (10, 50),
                cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2);
    cv2.putText(frame, 'Out: {}'.format(str(textOut)), (10, 70),
                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);
    cv2.imshow('Security Feed', frame);


// cleanup the camera and close any open windows
camera.release();
cv2.destroyAllWindows();