I am currently using HoughCircles on computer-vision but I can’t manage to make it work.
How can this error be solved ?
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Error : 2
'Traceback (most recent call last): 3
File "F:TIPE ENTROPIEProgrammationIris-Recognition-masterIris Codenorm.py", line 82, in <module> 4
extract_iris(img) 5
File "F:TIPE ENTROPIEProgrammationIris-Recognition-masterIris Codenorm.py", line 53, in extract_iris 6
cord = get_circle(img, 35, 0, 50, 40) 7
File "F:TIPE ENTROPIEProgrammationIris-Recognition-masterIris Codenorm.py", line 14, in get_circle 8
circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT,1,20, param1=p1,param2=p2,minRadius=minR,maxRadius=maxR) 9
cv2.error: C:projectsopencv-pythonopencvmodulesimgproc srchough.cpp:1494: error: (-215) !_image.empty() && _image.type() == (((0) & ((1 << 3) - 1)) + (((1)-1) << 3)) && (_image.isMat() || _image.isUMat()) in function cv::HoughCircles` 10
Here is my code :
JavaScript
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import cv2 2
import numpy as np3
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## Definitions5
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def get_circle(img, minR, maxR, p1, p2):7
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circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT,1,20, param1=p1,param2=p2,minRadius=minR,maxRadius=maxR)9
circles = np.uint16(np.around(circles))10
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#return the first circle12
return circles[0][0]13
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def print_img(img,x,y,w,h):15
if w!=0 and h!=0:16
cv2.imshow('detected circles',img[x:x+w,y:y+h])17
cv2.imwrite('app-1/1.jpg',img[x:x+w,y:y+h])18
else:19
cv2.imshow('detected circles',img)20
cv2.imwrite('app-1/1.jpg',img)21
cv2.waitKey(0)22
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cv2.destroyAllWindows() 24
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def reject_out(img, xc, yc, r):26
row = len(img)27
col = len(img[0])28
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for x in range(0,row):30
for y in range(0, col):31
res = (x-xc)*(x-xc) + (y-yc)*(y-yc)32
if res > r*r :33
img[x][y] = 034
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def reject_in(img, xc, yc, r):36
xs = xc-r37
ys = yc-r38
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for x in range(xs,xs+2*r):40
for y in range(ys, ys+2*r):41
res = (x-xc)*(x-xc) + (y-yc)*(y-yc)42
if res < r*r :43
img[x][y] = 044
45
def extract_iris(img):46
cimg = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)47
cord = get_circle(cimg, 35, 0, 50, 40)48
# draw the outer circle49
cv2.circle(cimg,(cord[0],cord[1]),cord[2],(0,255,0),2)50
# draw the center of the circle51
cv2.circle(cimg,(cord[0],cord[1]),2,(0,0,255),3)52
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h = 2*cord[2]55
w = 2*cord[2]56
x = cord[1]-cord[2]57
y = cord[0]-cord[2]58
nimg = img[x:x+w,y:y+h]59
reject_out(nimg, h/2, w/2, h/2)60
print_img(cimg,0,0,0,0)61
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cord = get_circle(nimg, 0, cord[2]-1, 50, 30)63
print (nimg[0:w][cord[0]])64
# draw the outer circle65
cv2.circle(nimg,(cord[0],cord[1]),cord[2],(0,255,0),2)66
# draw the center of the circle67
cv2.circle(nimg,(cord[0],cord[1]),2,(0,0,255),3)68
reject_in(nimg, cord[1], cord[0], cord[2])69
print_img(nimg,0,0,0,0)70
print (nimg[0:w][cord[0]])71
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img = cv2.imread('test6.jpg',0)75
img = cv2.medianBlur(img,5)76
extract_iris(img)77
`78
UPDATE : New error :
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Traceback (most recent call last):2
File "F:TIPE ENTROPIEProgrammationessai.py", line 80, in <module>3
extract_iris(img)4
File "F:TIPE ENTROPIEProgrammationessai.py", line 49, in extract_iris5
cord = get_circle(cimg, 35, 0, 50, 40)6
File "F:TIPE ENTROPIEProgrammationessai.py", line 8, in get_circle7
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)8
cv2.error: C:projectsopencv-pythonopencvmodulesimgprocsrccolor.cpp:11111: error: (-215) scn == 3 || scn == 4 in function cv::cvtColor9
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Answer
As @jeru-luke has told in comment, you should add img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) just before you call cv2.HoughCircles() :
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def get_circle(img, minR, maxR, p1, p2):2
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # <------------- Here3
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circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT,1,20, param1=p1,param2=p2,minRadius=minR,maxRadius=maxR)5
circles = np.uint16(np.around(circles))6
COLOR_BGR2GRAY and not COLOR_GRAY2BGR
UPDATE:
Add nimg = cv2.cvtColor(nimg, cv2.COLOR_GRAY2BGR) just before calling get_circle for second time:
UPDATE 2
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import cv22
import numpy as np3
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## Definitions5
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def get_circle(img, minR, maxR, p1, p2):7
if len(img.shape)==3:8
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)9
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circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT,1,20, param1=p1,param2=p2,minRadius=minR,maxRadius=maxR)11
circles = np.uint16(np.around(circles))12
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#return the first circle14
return circles[0][0]15
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def print_img(img,x,y,w,h):17
if w!=0 and h!=0:18
cv2.imshow('detected circles',img[x:x+w,y:y+h])19
cv2.imwrite('app-1/1.jpg',img[x:x+w,y:y+h])20
else:21
cv2.imshow('detected circles',img)22
cv2.imwrite('app-1/1.jpg',img)23
cv2.waitKey(0)24
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cv2.destroyAllWindows()26
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def reject_out(img, xc, yc, r):28
row = len(img)29
col = len(img[0])30
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for x in range(0,row):32
for y in range(0, col):33
res = (x-xc)*(x-xc) + (y-yc)*(y-yc)34
if res > r*r :35
img[x][y] = 036
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def reject_in(img, xc, yc, r):38
xs = xc-r39
ys = yc-r40
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for x in range(xs,xs+2*r):42
for y in range(ys, ys+2*r):43
res = (x-xc)*(x-xc) + (y-yc)*(y-yc)44
if res < r*r :45
img[x][y] = 046
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def extract_iris(img):48
cimg = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)49
cord = get_circle(cimg, 35, 0, 50, 40)50
# draw the outer circle51
cv2.circle(cimg,(cord[0],cord[1]),cord[2],(0,255,0),2)52
# draw the center of the circle53
cv2.circle(cimg,(cord[0],cord[1]),2,(0,0,255),3)54
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h = 2*cord[2]57
w = 2*cord[2]58
x = cord[1]-cord[2]59
y = cord[0]-cord[2]60
nimg = img[x:x+w,y:y+h]61
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reject_out(nimg, h/2, w/2, h/2)63
print_img(cimg,0,0,0,0)64
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nimg = cv2.cvtColor(nimg, cv2.COLOR_GRAY2BGR)66
cord = get_circle(nimg, 0, cord[2]-1, 50, 30)67
print (nimg[0:w][cord[0]])68
# draw the outer circle69
cv2.circle(nimg,(cord[0],cord[1]),cord[2],(0,255,0),2)70
# draw the center of the circle71
cv2.circle(nimg,(cord[0],cord[1]),2,(0,0,255),3)72
reject_in(nimg, cord[1], cord[0], cord[2])73
print_img(nimg,0,0,0,0)74
print (nimg[0:w][cord[0]])75
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img = cv2.imread('test6.jpg',0)79
img = cv2.medianBlur(img,5)80
extract_iris(img)81
Result:
