opencv - ZeroDivisionError (Python) -

i getting 0 division error images (even though lot of them work fine) :

here's code :

image = skimage.io.imread('test.png', false) image_gray = skimage.io.imread('test.png', true) blurred = cv2.gaussianblur(img_as_ubyte(image_gray), (5, 5), 0) thresh = threshold_li(blurred) binary = blurred > thresh binary_cv2 = img_as_ubyte(binary)  # find contours in thresholded image cnts = cv2.findcontours(binary_cv2.copy(), cv2.retr_external, cv2.chain_approx_simple) cnts = cnts[0] if imutils.is_cv2() else cnts[1]  # loop on contours c in cnts:     # compute center of contour     m = cv2.moments(c)     cx = int(m["m10"] / m["m00"])     cy = int(m["m01"] / m["m00"])      # draw contour , center of shape on image     cv2.drawcontours(img_as_ubyte(image), [c], -1, (0, 255, 0), 2)     cv2.circle(img_as_ubyte(image), (cx, cy), 7, (255, 255, 255), -1)     cv2.puttext(img_as_ubyte(image), "center", (cx - 20, cy - 20),     cv2.font_hershey_simplex, 0.5, (255, 255, 255), 2)  viewer = imageviewer(image) viewer.show() 

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traceback (most recent call last):   file "center.py", line 26, in <module>     cx = int(m["m10"] / m["m00"]) zerodivisionerror: float division 0 

thanks in advance!

you cannot devide zero. if m["m00"] zero, there no solution division. check 0 values.

if m["m00"] != 0:     cx = int(m["m10"] / m["m00"])     cy = int(m["m01"] / m["m00"]) else:     cx, cy = 0, 0