| |
|
| |
|
| | '''
|
| | This example illustrates how to use Hough Transform to find lines
|
| | '''
|
| |
|
| |
|
| | from __future__ import print_function
|
| |
|
| | import cv2 as cv
|
| | import numpy as np
|
| | import sys
|
| | import math
|
| |
|
| | from tests_common import NewOpenCVTests
|
| |
|
| | def linesDiff(line1, line2):
|
| |
|
| | norm1 = cv.norm(line1 - line2, cv.NORM_L2)
|
| | line3 = line1[2:4] + line1[0:2]
|
| | norm2 = cv.norm(line3 - line2, cv.NORM_L2)
|
| |
|
| | return min(norm1, norm2)
|
| |
|
| | class houghlines_test(NewOpenCVTests):
|
| |
|
| | def test_houghlines(self):
|
| |
|
| | fn = "/samples/data/pic1.png"
|
| |
|
| | src = self.get_sample(fn)
|
| | dst = cv.Canny(src, 50, 200)
|
| |
|
| | lines = cv.HoughLinesP(dst, 1, math.pi/180.0, 40, np.array([]), 50, 10)[:,0,:]
|
| |
|
| | eps = 5
|
| | testLines = [
|
| |
|
| | [ 232, 25, 43, 25],
|
| | [ 43, 129, 232, 129],
|
| | [ 43, 129, 43, 25],
|
| | [232, 129, 232, 25],
|
| |
|
| | [251, 86, 314, 183],
|
| | [252, 86, 323, 40],
|
| | [315, 183, 386, 137],
|
| | [324, 40, 386, 136],
|
| |
|
| | [245, 205, 377, 205],
|
| | [244, 206, 305, 278],
|
| | [306, 279, 377, 205],
|
| |
|
| | [153, 177, 196, 177],
|
| | [153, 277, 153, 179],
|
| | [153, 277, 196, 277],
|
| | [196, 177, 196, 277]]
|
| |
|
| | matches_counter = 0
|
| |
|
| | for i in range(len(testLines)):
|
| | for j in range(len(lines)):
|
| | if linesDiff(testLines[i], lines[j]) < eps:
|
| | matches_counter += 1
|
| |
|
| | self.assertGreater(float(matches_counter) / len(testLines), .7)
|
| |
|
| | lines_acc = cv.HoughLinesWithAccumulator(dst, rho=1, theta=np.pi / 180, threshold=150, srn=0, stn=0)
|
| | self.assertEqual(lines_acc[0,0,2], 192.0)
|
| | self.assertEqual(lines_acc[1,0,2], 187.0)
|
| |
|
| | if __name__ == '__main__':
|
| | NewOpenCVTests.bootstrap()
|
| |
|
