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 vote273 views2 answers
Python print array vertically
Python
0 vote250 views1 answer
Import NoSuchKey in boto3
Python
45 votes278 views3 answers
Python get day month year
Python
0 vote275 views1 answer
Python generator in while loop
Python
-1 vote263 views2 answers
Django cleanup
Python
1 vote259 views1 answer
Merge on row number python
Python
14 votes235 views2 answers
Tkinter clear canvas
Python
4 votes269 views1 answer
Python install command in linux
Python
3 votes281 views2 answers
Django radio button
Python Django
1 vote341 views1 answer
How to use one with as statement to open two files python
Python