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

1 vote143 views1 answer
Location of last row dataframe
Python
0 vote145 views1 answer
Matplotlib despine
Python
-1 vote147 views1 answer
Multiple assignment python
Python
66 votes145 views6 answers
How to open csv file in python
Python
2 votes143 views1 answer
Database default code in settings django
Python
0 vote148 views1 answer
Python datetime remove timezone
Python
0 vote140 views1 answer
Add url parameter in anchor django template
Python
3 votes203 views6 answers
ImportError: Couldn't import Django. Are you sure it's installed and available on your PYTHONPATH environment variable? Did you forget to activate a virtual environment?
Python Django
8 votes207 views2 answers
Lambda function with if elif else python
Python
0 vote149 views1 answer
Python variables in multiline string
Python