为什么函数 cv2.HoughLinesP() 有不同的效果? [英] Why the function cv2.HoughLinesP() has different effects?

问题描述

我在这个

我的测试代码:

导入 cv2将 numpy 导入为 npimg = cv2.imread('E:/image/sudoku.png')灰色 = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)边缘 = cv2.Canny(灰色，50,150，apertureSize = 3)最小线长度 = 100最大线距 = 10线 = cv2.HoughLinesP(edges,1,np.pi/180,100,minLineLength,maxLineGap)对于线中线:对于 x1,y1,x2,y2 在线:cv2.line( img,( x1,y1 ),( x2,y2 ),( 0,255,0 ),2 )cv2.imwrite('E:/image/myhoughlinesp.jpg',img)cv2.imshow('1',img)cv2.waitKey(0)

我的代码运行结果:

但是官网生成的图片是这样的:

如果你不改变代码.(使用那个链接的代码)，生成的图片是这样的:

我改代码的时候，虽然有很多绿线，但是没有官网的好效果.

为什么我的图片和官网不一样?

解决方案

我知道为什么效果不一样了.

python3.X中的函数cv2.HoughLinesP()有7个参数.

def HoughLinesP(image, rho, theta, threshold,lines=None, minLineLength=None, maxLineGap=None):

但是官网的代码只写了6个参数，所以要写参数的名字，像这样:

导入 cv2将 numpy 导入为 npimg = cv2.imread('E:/image/sudoku.png')灰色 = cv2.cvtColor( img,cv2.COLOR_BGR2GRAY)边缘 = cv2.Canny(灰色，50,150，apertureSize = 3)最小线长度 = 100最大线距 = 10线 = cv2.HoughLinesP(edges,1,np.pi/180,100,minLineLength=minLineLength,maxLineGap=maxLineGap)对于线中线:对于 x1,y1,x2,y2 在线:cv2.line( img,( x1,y1 ),( x2,y2 ),( 0,255,0 ),2 )cv2.imwrite('E:/image/myhoughlinesp.jpg',img)cv2.imshow('1',img)cv2.waitKey(0)

结果图片:

I learn in this link.

This is the original picture：

My test code:

import cv2
import numpy as np

img = cv2.imread( 'E:/image/sudoku.png' )
gray = cv2.cvtColor( img,cv2.COLOR_BGR2GRAY )
edges = cv2.Canny( gray,50,150,apertureSize = 3 )
minLineLength = 100
maxLineGap = 10
lines = cv2.HoughLinesP( edges,1,np.pi/180,100,minLineLength,maxLineGap )
for line in lines:
    for x1,y1,x2,y2 in line:
        cv2.line( img,( x1,y1 ),( x2,y2 ),( 0,255,0 ),2 )
cv2.imwrite( 'E:/image/myhoughlinesp.jpg',img )
cv2.imshow( '1',img )
cv2.waitKey(0)

The result of my code running：

But the picture generated by the official website is like this：

If you don't change the code.(Use that link's code),the generated picture is like this:

When I change the code, although there are a lot of green lines,but doesn't have the official website's good effect.

Why do I have a different picture from the official website?

解决方案

I know why the effect is different.

The function cv2.HoughLinesP() in python3.X has 7 parameters.

def HoughLinesP(image, rho, theta, threshold, lines=None, minLineLength=None, maxLineGap=None):

But the code of the official website only writes 6 parameters.So you should write the name of the parameter,like this:

import cv2
import numpy as np

img = cv2.imread( 'E:/image/sudoku.png' )
gray = cv2.cvtColor( img,cv2.COLOR_BGR2GRAY )
edges = cv2.Canny( gray,50,150,apertureSize = 3 )
minLineLength = 100
maxLineGap = 10
lines = cv2.HoughLinesP( edges,1,np.pi/180,100,minLineLength=minLineLength,maxLineGap=maxLineGap )
for line in lines:
    for x1,y1,x2,y2 in line:
        cv2.line( img,( x1,y1 ),( x2,y2 ),( 0,255,0 ),2 )
cv2.imwrite( 'E:/image/myhoughlinesp.jpg',img )
cv2.imshow( '1',img )
cv2.waitKey(0)

Result picture:

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