Hi, I am trying out the ellipse hough transform as described in the following link: http://scikit-image.org/docs/dev/auto_examples/plot_circular_elliptical_houg... The ellipse detection in the example above with the coffee mug takes about 15 seconds to give a result. Unfortunately, I need to be able to at least do this in under a second since I am working on a video stream. 1. Is it possible to get the time taken for ellipse detection to under a second? 2. Are there any suggestions for improving the execution time? 3. Are there any other library/package that can do ellipse detection better? 4. When I use my own image instead of the coffee mug - I get an error :Buffer and memoryview are not contiguous in the same dimension I use the following code for loading the image the rest of the code is the same from the above example. image_rgb = io.imread('ellipse.png') #instead of image_rgb = data.coffee()[0:220, 160:420] Obviously I must be doing something wrong. I had mostly been working with OpenCV so I am a bit new to skimage's way of doing things. Please feel free to assume that I am a noob and any help is much appreciated. Thanks, Austin