تشخیص تخلفات ترافیکی با استفاده از پایتون

import cv2

# Load image

image = cv2.imread(‘traffic_image.jpg’)

# Load pre-trained cascade classifier for traffic signals

cascade_classifier = cv2.CascadeClassifier(‘cascade.xml’)

# Detect traffic signals in image

signals = cascade_classifier.detectMultiScale(image, scaleFactor=1.05, minNeighbors=5, minSize=(10, 10))

# Draw bounding boxes around detected signals

for (x, y, w, h) in signals:

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

# Show image with bounding boxes

cv2.imshow(‘Traffic Signals’, image)

cv2.waitKey(0)

cv2.destroyAllWindows()