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main.py
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main.py
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import cv2
from tracker import *
# Create tracker object
tracker = EuclideanDistTracker()
cap = cv2.VideoCapture("highway.mp4")
# Object detection from Stable camera
object_detector = cv2.createBackgroundSubtractorMOG2(history=100, varThreshold=40)
while True:
ret, frame = cap.read()
height, width, _ = frame.shape
# Extract Region of interest
roi = frame[340: 720,500: 800]
# 1. Object Detection
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:
# Calculate area and remove small elements
area = cv2.contourArea(cnt)
if area > 100:
#cv2.drawContours(roi, [cnt], -1, (0, 255, 0), 2)
x, y, w, h = cv2.boundingRect(cnt)
detections.append([x, y, w, h])
# 2. Object Tracking
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, 2, (255, 0, 0), 2)
cv2.rectangle(roi, (x, y), (x + w, y + h), (0, 255, 0), 3)
cv2.imshow("roi", roi)
cv2.imshow("Frame", frame)
cv2.imshow("Mask", mask)
key = cv2.waitKey(30)
if key == 27:
break
cap.release()
cv2.destroyAllWindows()