main.py

import cv2
from cv2 import waitKey
from matplotlib.pyplot import contour
from tracker import *

tracker = EuclideanDistTracker()

cap = cv2.VideoCapture("highway.mp4")

object_detector = cv2.createBackgroundSubtractorMOG2(history=100, varThreshold=40)

while True:
    ret, frame = cap.read()

    height, width, _ = frame.shape
   # print(height, width)

    roi = frame[340:720,500:800]

    

    mask = object_detector.apply(roi)
    _, mask = cv2.threshold(mask, 254, 255, cv2.THRESH_BINARY)

    contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    detections = []
    for cnt in contours:
        area = cv2.contourArea(cnt)
        if area > 100:
            # cv2.drawContours(roi, [cnt], -1, (0, 225, 0), 2)
            x, y, w, h = cv2.boundingRect(cnt)

            detections.append([x, y, w, h])
            


    boxes_ids = tracker.update(detections)
    for box_id in boxes_ids:
        x, y, w, h, id = box_id
        cv2.putText(roi, str(id), (x, y - 15), cv2.FONT_HERSHEY_PLAIN, 1, (255, 0, 0), 2)        
        cv2.rectangle(roi, (x, y), (x + w, y + h), (0, 225, 0), 3)


    cv2.imshow("roi", roi)
    cv2.imshow("Frame", frame)
    cv2.imshow("Mask", mask)

    key = waitKey(30)
    if key ==27:
        break


cap.release()
cv2.destroyAllWindows()