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Utils and convenience functions for large-scale bio-image analysis.

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Hello, as an example, the specific function of `multicut_kernighan_lin`, which I learned and tried to run in pycharm. I'd like to see the source code of its specific algorithm (intuition...

Hi I got this error : File "C:\SuperHuman-main\SuperHuman-main\scripts\utils\lmc.py", line 19, in mc_baseline costs = feats.compute_affinity_features(rag, affs, offsets)[:, 0] File "c:elf\elf\segmentation\features.py", line 84, in compute_affinity_features numberOfThreads=n_threads) RuntimeError: Precondition violation! UserRangeHistogram::update(): setMinMax(...)...

The default tracking with motile from https://github.com/constantinpape/elf/blob/master/elf/tracking/motile_tracking.py#L5, which just uses the overlap to construct edge costs, works well for many tracking problems. However, it is currently limited by the fact...

https://traccuracy.readthedocs.io/en/latest/

https://github.com/constantinpape/elf/blob/9979a9dee7b34ab7ca161817f6f25cb592ffd8a0/elf/segmentation/watershed.py#L164 Heya, just curious as to why the return type here has changed. I think vigra (which is used internally) will always return `uint32` and that way it was easy...

Some potential clean-ups as follow up from #47 (I would like to keep all the public functionality functional) - Add a functional wrapper for `GaspFromAffinities` - Remove "WatershedFromAffinities"; for simple...

see https://github.com/constantinpape/elf/blob/master/elf/segmentation/embeddings.py#L337-L338