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

8 votes277 views4 answers
Sklearn plot confusion matrix
Python
1 vote240 views1 answer
[Solved] TypeError: ‘numpy.float64’ object cannot be interpreted as an integer
Python
0 vote255 views1 answer
Check is symmetric python
Python
0 vote275 views1 answer
Sikuli guide text
Python
0 vote297 views1 answer
Python dash bootstrap buttons with icons
Python
0 vote258 views2 answers
Python get function from string name
Python
0 vote264 views1 answer
Reportlab python add font style
Python
4 votes261 views2 answers
Tty escape
Python
0 vote257 views1 answer
Conditional Statements to Skip Items enumerate python
Python
1 vote228 views1 answer
Set window size with sizers wxpython
Python