import cv2
import numpy as np

img = cv2.imread('images/line.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray, (5,5), 10)
edges = cv2.Canny(blur, 50, 150, apertureSize=3)

lines = cv2.HoughLines(edges, 1.0, np.pi/180, 150)


for line in lines:
    for rho, theta in line:
        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(y0 - 1000 * (a))
        cv2.line(img, (x1, y1), (x2, y2), (0, 255, 0), 2)

'''
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(y0 - 1000 * (a))
    cv2.line(img,(x1,y1),(x2,y2),(0,255,0),2)
'''

cv2.imshow('ResultImage', img)
cv2.waitKey(0)
cv2.destroyAllWindows()

