TypeError: 'tuple' object is not callable

[marlinayakno]

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:

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

Does that do what you intended?