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  1. seung-lab/cloud-volume

    Read and write Neuroglancer datasets programatically.

    Python 39 19

  2. seung-lab/connected-components-3d

    Connected components on multilabel 3D images. Handles 26, 18, and 6 connected variants.

    Python 37 5

  3. seung-lab/igneous

    Python cloud pipeline for Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Remapping, and more.

    Python 10 8

  4. seung-lab/kimimaro

    Skeletonize densely labeled 3D images.

    Python 24 2

  5. seung-lab/gallery

    The Museum, a repository for neuron reconstructions.

    CSS 3 1

  6. seung-lab/euclidean-distance-transform-3d

    Euclidean distance transform for multi-label 3D anisotropic images.

    C++ 31 9

1,118 contributions in the last year

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January 2020

Created a pull request in seung-lab/connected-components-3d that received 2 comments

perf: limit union-find allocation by maximum representation size

It's pointless to allocate more than 2^16 for uint16 arrays as the individual slots can't refer to anything larger than that. The union find array …

+12 −9 • 2 comments

Created an issue in seung-lab/euclidean-distance-transform-3d that received 1 comment

Cache Aware Single Core Version

In testing, it seems that about 69% of the time my test volume was bound by memory latency. This would seem to indicate that a cache aware version …

1 comment

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