TypeError: 'tuple' object is not callable

[marlinayakno]

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img = rgb2gray(image)   # 3 scales radius1 = 4 radius2 = 8 radius3 = 12   # sobel mask sobel_dx = ([-1, 0, 1],[-1, 0, 1],[-1, 0, 1]) sobel_dy = ([-1,-1,-1],[0, 0, 0], [1, 1, 1])   # compute image derivatives img_dx     = convolve2d(img, sobel_dx) img_dy     = convolve2d(img, sobel_dy) img_angle  = np.arctan2(img_dx, img_dy) img_weight = np.sqrt(img_dx**2 + img_dy**2)   # correct angle to lie in between [0,pi] img_angle[img_angle<0]  = img_angle[img_angle<0]+ math.pi img_angle[img_angle>math.pi] = img_angle[img_angle>math.pi]- math.pi   # scale input image img_min = img.min() img_max = img.max() img     = (img-img_min)/(img_max-img_min)   # templete properties templete_props = ([0, math.pi/2, radius1], [math.pi/4, -math.pi/4, radius1], [0, math.pi/2, radius2], [math.pi/4, -math.pi/4, radius2], [0, math.pi/2, radius3], [math.pi/4, -math.pi/4, radius3])   print ("Filtering ...")   # filter image img_corners = np.zeros((np.size(img,0),np.size(img,1))) for templete_class in range (1,np.size(templete_props,0)):           # create correlation templete     # width and height     width  = templete_props(templete_class,3)*2+1     height = templete_props(templete_class,3)*2+1       # initialize templete     templete.a1 = np.zeros(height,width)     templete.a2 = np.zeros(height,width)     templete.b1 = np.zeros(height,width)     templete.b2 = np.zeros(height,width)       # midpoint     mu = templete_props(templete_class,3)+1     mv = templete_props(templete_class,3)+1

I would like to detect corner of chessboard patterns. However, i faced this kind of error at line 38:

Error:
width  = templete_props(templete_class,3)*2+1
TypeError: 'tuple' object is not callable

Anyone have any idea? thanks in advanced!

[stullis]

It looks like you want to slice templete_props:

1 2	width  = templete_props[templete_class][2]*2+1 height = templete_props[templete_class][2]*2+1

Does that do what you intended?