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Support non-sequential labels in input data #47

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jni opened this issue Apr 11, 2015 · 0 comments
Open

Support non-sequential labels in input data #47

jni opened this issue Apr 11, 2015 · 0 comments

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@jni
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jni commented Apr 11, 2015

Non-sequential data in supervoxels during training can result in errors during learning, as well as log(0) errors (due to non-existing segments). See this thread on the mailing list for details.

The simplest fix is to run skimage.relabel_sequential on both the superpixel and ground truth volumes, but I'm not sure whether other things would break at that point (and we might need to maintain the inverse maps if specific labels need to be reported back to the user). Ideally, we would have a test case to ensure this doesn't regress.

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