import cv2
import numpy as np

def canny_detect(image_path, is_gray=True):
    image = cv2.imread(image_path)
    if is_gray:
        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    else:
        gray = image
    edges = cv2.Canny(gray, threshold1, threshold2)
    return edges

def hough_detect(image_path):
    image = cv2.imread(image_path)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    edges = canny_detect(image_path, False)
    lines = cv2.HoughLines(edges, 1, np.pi/180, 200)
    # for line in lines:
    #     rho, theta = line<span class="em">1</span><span class="em">2</span><span class="em">3</span>