mirror of
https://github.com/opencv/opencv.git
synced 2024-11-25 03:30:34 +08:00
42 lines
1.1 KiB
Python
Executable File
42 lines
1.1 KiB
Python
Executable File
#!/usr/bin/python
|
|
'''
|
|
This example illustrates how to use Hough Transform to find lines
|
|
Usage: ./houghlines.py [<image_name>]
|
|
image argument defaults to ../data/pic1.png
|
|
'''
|
|
import cv2
|
|
import numpy as np
|
|
import sys
|
|
import math
|
|
|
|
try:
|
|
fn = sys.argv[1]
|
|
except:
|
|
fn = "../data/pic1.png"
|
|
print __doc__
|
|
src = cv2.imread(fn)
|
|
dst = cv2.Canny(src, 50, 200)
|
|
cdst = cv2.cvtColor(dst, cv2.COLOR_GRAY2BGR)
|
|
|
|
# HoughLines()
|
|
# lines = cv2.HoughLines(dst, 1, math.pi/180.0, 50, np.array([]), 0, 0)
|
|
# a,b,c = lines.shape
|
|
# for i in range(b):
|
|
# rho = lines[0][i][0]
|
|
# theta = lines[0][i][1]
|
|
# a = math.cos(theta)
|
|
# b = math.sin(theta)
|
|
# x0, y0 = a*rho, b*rho
|
|
# pt1 = ( int(x0+1000*(-b)), int(y0+1000*(a)) )
|
|
# pt2 = ( int(x0-1000*(-b)), int(y0-1000*(a)) )
|
|
# cv2.line(cdst, pt1, pt2, (0, 0, 255), 3, cv2.LINE_AA)
|
|
|
|
lines = cv2.HoughLinesP(dst, 1, math.pi/180.0, 50, np.array([]), 50, 10)
|
|
a,b,c = lines.shape
|
|
for i in range(b):
|
|
cv2.line(cdst, (lines[0][i][0], lines[0][i][1]), (lines[0][i][2], lines[0][i][3]), (0, 0, 255), 3, cv2.LINE_AA)
|
|
|
|
cv2.imshow("source", src)
|
|
cv2.imshow("detected lines", cdst)
|
|
cv2.waitKey(0)
|