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

0 vote208 views1 answer
Python - change the bin size of an histogram+
Python
0 vote204 views1 answer
Keras transfer learning
Python
0 vote206 views1 answer
Treat NaN as a category
Python
1 vote198 views1 answer
How to load wav file with python
Python
6 votes215 views1 answer
How to download file from python
Python
1 vote207 views2 answers
Zip django template
Python Django
-2 votes248 views1 answer
How to check a set is empty in python
Python
0 vote219 views1 answer
Django allauth Reverse for 'password_reset_confirm' not found. 'password_reset_confirm' is not a valid view function or pattern name.
Python
0 vote205 views1 answer
Data[:,:2]
Python
0 vote199 views1 answer
How to sum the revenue from every day in a dataframe python
Python