Self driving cars

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𝐒𝐞𝐥𝐟 𝐝𝐫𝐢𝐯𝐢𝐧𝐠 𝐜𝐚𝐫𝐬
import cv2
import numpy as np

def region_of_interest(img, vertices):
    mask = np.zeros_like(img)
    cv2.fillPoly(mask, vertices, 255)
    masked_image = cv2.bitwise_and(img, mask)
    return masked_image

def draw_lines(img, lines):
    for line in lines:
        x1, y1, x2, y2 = line[0]
        cv2.line(img, (x1, y1), (x2, y2), (255, 0, 0), 10)

def process_frame(frame):
    height, width = frame.shape[:2]
    region_vertices = [(0, height), (width // 2, height // 2), (width, height)]

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    blur = cv2.GaussianBlur(gray, (5, 5), 0)
    edges = cv2.Canny(blur, 50, 150)

    cropped_edges = region_of_interest(edges, np.array([region_vertices], np.int32))

    lines = cv2.HoughLinesP(cropped_edges, 2, np.pi / 180, 100, minLineLength=40, maxLineGap=5)

    if lines is not None:
        draw_lines(frame, lines)

    return frame

# Initialize Video Capture (e.g., camera or video file)
cap = cv2.VideoCapture("test_video.mp4")  # Replace with 0 for webcam

while cap.isOpened():
    ret, frame = cap.read()
    if not ret:
        break

    processed_frame = process_frame(frame)

    cv2.imshow("Self-Driving Car Simulation", processed_frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()