Python lane angle detection

from skimage.transform import (hough_line, hough_line_peaks)
import numpy as np
import cv2

image = cv2.imread('2.png')

# Compute arithmetic mean
image = np.mean(image, axis=2)

# Perform Hough Transformation to detect lines
hspace, angles, distances = hough_line(image)

# Find angle
angle=[]
for _, a , distances in zip(*hough_line_peaks(hspace, angles, distances)):
    angle.append(a)

# Obtain angle for each line
angles = [a*180/np.pi for a in angle]

# Compute difference between the two lines
angle_difference = np.max(angles) - np.min(angles)
print(angle_difference)

Source: stackoverflow.com

Similar codes

2 votes323 views1 answer
Change size of selenium window
Python
4 votes324 views4 answers
Virtualenv python2
Python
2 votes338 views1 answer
Copy website
Python
0 vote353 views1 answer
Add url parameter in anchor django template
Python
0 vote347 views1 answer
Insert video in tkinter
Python
1 vote404 views1 answer
Calculator in one line in python
Python
3 votes342 views3 answers
Python list contains substring
Python
105 votes364 views4 answers
How to get random number python
Python
0 vote346 views1 answer
Django rest_framework-social-oauth2
Python
4 votes336 views1 answer
Stack data structure python
Python