hough.py

hough.py

import cv2
import numpy as np

img = cv2.imread('path/to/img', 0) # 0 = grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(img,100,200)

lines = cv2.HoughLines(edges,1,np.pi/180,200)
for rho, theta in lines[0]:
    a = np.cos(theta)
    b = np.sin(theta)
    x0 = a*rho
    y0 = b*rho
    x1 = int(x0 + 1000*(-b))
    y1 = int(y0 + 1000*(a))
    x2 = int(x0 - 1000*(-b))
    y2 = int(x0 - 1000*(a))
    
    cv2.line(img, (x1,y1), (x2,y2), (0,0,255),2)
    
cv2.imwrite('path/to/new/img', img)