堆栈内存溢出
  繁体   English   中英

Hough Circles 打开 CV 错误

[英]Hough Circles open CV error

 原文  2018-05-16 06:55:56  8   3    python/ opencv/ computer-vision

问题描述

我目前在computer-vision上使用HoughCircles ，但我无法让它工作。 如何解决此错误？

Error : 
'Traceback (most recent call last):  
  File "F:\TIPE ENTROPIE\Programmation\Iris-Recognition-master\Iris   Code\norm.py", line 82, in <module>  
    extract_iris(img)  
  File "F:\TIPE ENTROPIE\Programmation\Iris-Recognition-master\Iris   Code\norm.py", line 53, in extract_iris  
    cord     = get_circle(img, 35, 0, 50, 40)  
  File "F:\TIPE ENTROPIE\Programmation\Iris-Recognition-master\Iris   Code\norm.py", line 14, in get_circle  
    circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT,1,20,   param1=p1,param2=p2,minRadius=minR,maxRadius=maxR)  
cv2.error: C:\projects\opencv-python\opencv\modules\imgproc  \src\hough.cpp:1494: error: (-215) !_image.empty() && _image.type() == (((0)   & ((1 << 3) - 1)) + (((1)-1) << 3)) && (_image.isMat() || _image.isUMat()) in   function cv::HoughCircles`

这是我的代码：

import cv2 
import numpy as np

## Definitions

def get_circle(img, minR, maxR, p1, p2):

    circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT,1,20, param1=p1,param2=p2,minRadius=minR,maxRadius=maxR)
    circles = np.uint16(np.around(circles))

    #return the first circle
    return circles[0][0]

def print_img(img,x,y,w,h):
    if w!=0 and h!=0:
        cv2.imshow('detected circles',img[x:x+w,y:y+h])
        cv2.imwrite('app-1/1.jpg',img[x:x+w,y:y+h])
    else:
        cv2.imshow('detected circles',img)
        cv2.imwrite('app-1/1.jpg',img)
    cv2.waitKey(0)

    cv2.destroyAllWindows() 

def reject_out(img, xc, yc, r):
    row = len(img)
    col = len(img[0])

    for x in range(0,row):
        for y in range(0, col):
            res = (x-xc)*(x-xc) + (y-yc)*(y-yc)
            if res > r*r :
                img[x][y] = 0

def reject_in(img, xc, yc, r):
    xs = xc-r
    ys = yc-r

    for x in range(xs,xs+2*r):
        for y in range(ys, ys+2*r):
            res = (x-xc)*(x-xc) + (y-yc)*(y-yc)
            if res < r*r :
                img[x][y] = 0

def extract_iris(img):
    cimg    = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
    cord    = get_circle(cimg, 35, 0, 50, 40)
    # draw the outer circle
    cv2.circle(cimg,(cord[0],cord[1]),cord[2],(0,255,0),2)
    # draw the center of the circle
    cv2.circle(cimg,(cord[0],cord[1]),2,(0,0,255),3)


    h = 2*cord[2]
    w = 2*cord[2]
    x = cord[1]-cord[2]
    y = cord[0]-cord[2]
    nimg = img[x:x+w,y:y+h]
    reject_out(nimg, h/2, w/2, h/2)
    print_img(cimg,0,0,0,0)

    cord    = get_circle(nimg, 0, cord[2]-1, 50, 30)
    print (nimg[0:w][cord[0]])
    # draw the outer circle
    cv2.circle(nimg,(cord[0],cord[1]),cord[2],(0,255,0),2)
    # draw the center of the circle
    cv2.circle(nimg,(cord[0],cord[1]),2,(0,0,255),3)
    reject_in(nimg, cord[1], cord[0], cord[2])
    print_img(nimg,0,0,0,0)
    print (nimg[0:w][cord[0]])



img = cv2.imread('test6.jpg',0)
img = cv2.medianBlur(img,5)
extract_iris(img)
`

更新：新错误：

Traceback (most recent call last):
  File "F:\TIPE ENTROPIE\Programmation\essai.py", line 80, in <module>
    extract_iris(img)
  File "F:\TIPE ENTROPIE\Programmation\essai.py", line 49, in extract_iris
    cord    = get_circle(cimg, 35, 0, 50, 40)
  File "F:\TIPE ENTROPIE\Programmation\essai.py", line 8, in get_circle
    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cv2.error: C:\projects\opencv-python\opencv\modules\imgproc\src\color.cpp:11111: error: (-215) scn == 3 || scn == 4 in function cv::cvtColor

3 个解决方案

解决方案1
 3 已采纳  2018-05-16 09:24:15

正如@jeru-luke 在评论中所说，您应该在调用cv2.HoughCircles()之前添加img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) ) ：

def get_circle(img, minR, maxR, p1, p2):
    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # <------------- Here

    circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT,1,20, param1=p1,param2=p2,minRadius=minR,maxRadius=maxR)
    circles = np.uint16(np.around(circles))

COLOR_BGR2GRAY而不是COLOR_GRAY2BGR

更新：

在第二次调用get_circle之前添加nimg = cv2.cvtColor(nimg, cv2.COLOR_GRAY2BGR) ：

更新 2

import cv2
import numpy as np

## Definitions

def get_circle(img, minR, maxR, p1, p2):
    if len(img.shape)==3:
        img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT,1,20, param1=p1,param2=p2,minRadius=minR,maxRadius=maxR)
    circles = np.uint16(np.around(circles))

    #return the first circle
    return circles[0][0]

def print_img(img,x,y,w,h):
    if w!=0 and h!=0:
        cv2.imshow('detected circles',img[x:x+w,y:y+h])
        cv2.imwrite('app-1/1.jpg',img[x:x+w,y:y+h])
    else:
        cv2.imshow('detected circles',img)
        cv2.imwrite('app-1/1.jpg',img)
    cv2.waitKey(0)

    cv2.destroyAllWindows()

def reject_out(img, xc, yc, r):
    row = len(img)
    col = len(img[0])

    for x in range(0,row):
        for y in range(0, col):
            res = (x-xc)*(x-xc) + (y-yc)*(y-yc)
            if res > r*r :
                img[x][y] = 0

def reject_in(img, xc, yc, r):
    xs = xc-r
    ys = yc-r

    for x in range(xs,xs+2*r):
        for y in range(ys, ys+2*r):
            res = (x-xc)*(x-xc) + (y-yc)*(y-yc)
            if res < r*r :
                img[x][y] = 0

def extract_iris(img):
    cimg    = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
    cord    = get_circle(cimg, 35, 0, 50, 40)
    # draw the outer circle
    cv2.circle(cimg,(cord[0],cord[1]),cord[2],(0,255,0),2)
    # draw the center of the circle
    cv2.circle(cimg,(cord[0],cord[1]),2,(0,0,255),3)


    h = 2*cord[2]
    w = 2*cord[2]
    x = cord[1]-cord[2]
    y = cord[0]-cord[2]
    nimg = img[x:x+w,y:y+h]

    reject_out(nimg, h/2, w/2, h/2)
    print_img(cimg,0,0,0,0)

    nimg = cv2.cvtColor(nimg, cv2.COLOR_GRAY2BGR)
    cord    = get_circle(nimg, 0, cord[2]-1, 50, 30)
    print (nimg[0:w][cord[0]])
    # draw the outer circle
    cv2.circle(nimg,(cord[0],cord[1]),cord[2],(0,255,0),2)
    # draw the center of the circle
    cv2.circle(nimg,(cord[0],cord[1]),2,(0,0,255),3)
    reject_in(nimg, cord[1], cord[0], cord[2])
    print_img(nimg,0,0,0,0)
    print (nimg[0:w][cord[0]])



img = cv2.imread('test6.jpg',0)
img = cv2.medianBlur(img,5)
extract_iris(img)

结果：

在此处输入图像描述

解决方案2
 1  2018-05-17 03:55:40

Error 215表示图像的格式不适合给定的颜色转换。

scn == 3 || scn == 4 scn == 3 || scn == 4表明img不是BGR2GRAY所要求的 3 通道或 4 通道图像。

请加

print img.shape并查看第三个值是否为 1，而不是 3。这可能是错误的原因。

解决方案3
 0  2020-05-14 12:49:11

我猜你的图像是 3 维的。 将图像转换为灰度使用

img1 = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
img1 = cv2.medianBlur(img1, 1)
circles = cv2.HoughCircles(img1, cv2.HOUGH_GRADIENT,1,20, param1=p1,param2=p2,minRadius=minR,maxRadius=maxR)

暂无
暂无

声明:本站的技术帖子网页，遵循CC BY-SA 4.0协议，如果您需要转载，请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.

相关问题 视频上的cv2.hough圈错误 如何在python中使用cv2中的hough圈？ 使用Open CV python进行Hough转换 霍夫圆中标量变量错误的无效索引 无法在开放式Cv和python中使用霍夫圆检测出瞳孔 Hough圆示例误差和每个圆的访问半径 边缘上的霍夫圆 追溯 OpenCV 霍夫圆 圆形霍夫变换错过了圆圈 pycharm中打开cv错误
相关标签
 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM