Lane line detection - Python(OpenCV)

import matplotlib.pylab as plt
import cv2
import numpy as np

image = cv2.imread('road.jpg')
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

print(image.shape)
height = image.shape[0]
width = image.shape[1]

region_of_interest_vertices=[
    (0, height),
    (width/2, height/2),
    (width, height)
]

def region_of_interest(img, vertices):
    mask = np.zeros_like(img)
    channel_count = img.shape[2]
    match_mask_color = (255,)* channel_count
    cv2.fillPoly(mask, vertices, match_mask_color)
    masked_image = cv2.bitwise_and(img, mask)
    return masked_image

cropped_image = region_of_interest(image, np.array([region_of_interest_vertices], np.int32))

plt.imshow(cropped_image)
plt.show()

Removing noise:

import matplotlib.pylab as plt
import cv2
import numpy as np


def region_of_interest(img, vertices):
    mask = np.zeros_like(img)
    #channel_count = img.shape[2]
    match_mask_color = 255
    cv2.fillPoly(mask, vertices, match_mask_color)
    masked_image = cv2.bitwise_and(img, mask)
    return masked_image

def drow_the_lines(img, lines):
    img = np.copy(img)
    blank_image = np.zeros((img.shape[0], img.shape[1], 3), dtype=np.uint8)

    for line in lines:
        for x1, y1, x2, y2 in line:
            cv2.line(blank_image, (x1, y1), (x2, y2), (0, 255, 0), thickness=3)

           
    img = cv2.addWeighted(img, 0.8, blank_image, 1, 0.0)
    return img

image = cv2.imread('road.jpg')
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
print(image.shape)
height = image.shape[0]
width = image.shape[1]
region_of_interest_vertices = [
    (0, height),
    (width/2, height/2),
    (width, height)
]
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
canny_image = cv2.Canny(gray_image, 100, 200)
cropped_image = region_of_interest(canny_image, np.array([region_of_interest_vertices], np.int32), )
lines = cv2.HoughLinesP(cropped_image,
                        rho=6,
                        theta=np.pi/60,
                        threshold=160,
                        lines=np.array([]),
                        minLineLength=40,
                        maxLineGap=25)

image_with_lines = drow_the_lines(image, lines)
image_with_lines = canny_image
plt.imshow(image_with_lines)
plt.show()