Connected components on 2D and 3D images. Supports multiple labels.
Image pyramid generation specialized for connectomics data types and procedures.
Implementation of Dijkstra's Shortest Path algorithm on 3D images.
Fast access to cloud storage and local FS.
Multithreaded cloud queue client.
A serverless client for reading and writing Neuroglancer Precomputed volumes both locally and on cloud services.
Serializable map of integers to bytes with near zero parsing.
Multi-Label Anisotropic Euclidean Distance Transform 3D
Fill voids in 3D binary images fast.
Remap, mask, renumber, and in-place transpose numpy arrays.
Skeletonize densely labeled image volumes.
Neuroglancer compressed_segmentation codec.
Unofficial packaging of the compresso algorithm based on work by Matejek et al.
Multilabel marching cubes and simplification of volumetric data.
Numpy wrapper for fpzip algorithm (P. Lindstrom & M. Isenburg, 2006)