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2020-03-30 06:19:52 -0600	marked best answer	Turn HFS result into Contours I suspect I'm missing something obvious but I can't sort out the best way to turn my segmented results into contours. I am using the cv2.hfs module and the preview looks great for my purposes. But I need to get a set of contours with centers, orientation etc. But the output of performSegmentCpu gives me a posterized or false-color image. What's the best way to turn this into a set of contours? Do I need to iterate through the whole output checking for unique pixel values and then do some kind of threshold for those pixels so I can run it through findContours? The docs mention that the default result of hfs.performSegmentCpu is a "matrix of index" but I can't imagine what that is or how I would access it.
2020-03-30 06:19:52 -0600	received badge	● Scholar (source)
2020-03-30 06:19:46 -0600	commented answer	Turn HFS result into Contours Thanks for the updates. It's working quite well now using compare.
2020-03-29 12:36:08 -0600	commented answer	Turn HFS result into Contours I am not familiar with this kind of array access and I have not found any relevant docs in NumPy or elsewhere. Any refer
2020-03-29 11:20:12 -0600	asked a question	Turn HFS result into Contours Turn HFS result into Contours I suspect I'm missing something obvious but I can't sort out the best way to turn my segme
2020-03-27 10:53:43 -0600	answered a question	Agricultural field boundary segmentation and delineation You might have some luck using the HFS segmentation technique built into the more recent versions: import cv2 import nu