import cv2
import numpy as np
image = cv2.imread('test_image.jpg')
lane_image = np.copy(image)
gray = cv2.cvtColor(lane_image, cv2.COLOR_RGB2GRAY)
blur = cv2.GaussianBlur(gray, (5, 5), 0)
canny = cv2.Canny(blur, 50, 150)
cv2.imshow('result', canny)
cv2.waitKey(0)

9ff52fd5b65918a730d263f3c3664122bbffc8ba
<mask token>

<mask token>
cv2.imshow('result', canny)
cv2.waitKey(0)

<mask token>
image = cv2.imread('test_image.jpg')
lane_image = np.copy(image)
gray = cv2.cvtColor(lane_image, cv2.COLOR_RGB2GRAY)
blur = cv2.GaussianBlur(gray, (5, 5), 0)
canny = cv2.Canny(blur, 50, 150)
cv2.imshow('result', canny)
cv2.waitKey(0)

import cv2
import numpy as np
image = cv2.imread('test_image.jpg')
lane_image = np.copy(image)
gray = cv2.cvtColor(lane_image, cv2.COLOR_RGB2GRAY)
blur = cv2.GaussianBlur(gray, (5, 5), 0)
canny = cv2.Canny(blur, 50, 150)
cv2.imshow('result', canny)
cv2.waitKey(0)
