Reverse Dependencies of fastremap

The following projects have a declared dependency on fastremap:

• AbdomenAtlas — A package for 3D medical image segmentation using deep learning techniques.
• bism — Biomedical Image Segmentation Models (BISM)
• cellpose — anatomical segmentation algorithm
• cellpose-omni — cellpose fork developed for omnipose
• cellpose-omni-acdc — cellpose fork developed for omnipose
• cellpose-plus — cell segmenetation framework based on cellpose
• cellpose-vollseg — modification of cellpose algorithm
• cloud-volume — A serverless client for reading and writing Neuroglancer Precomputed volumes both locally and on cloud services.
• crackle-codec — Crackle 3D dense segmentation compression codec.
• fafbseg — Tools to work with auto-segmented FAFB data
• fastmorph — Morphological image processing for 3D multi-label images.
• fill-voids — Fill voids in 3D binary images fast.
• igneous-pipeline — Manage, Downsample, Mesh, Skeletonize, and Transform Neuroglancer Datasets
• imageryclient — Front end tools for composite images for EM connectomics
• imops — Efficient parallelizable algorithms for multidimensional arrays to speed up your data pipelines
• instanseg-torch — Package for instanseg-torch PyPi
• kimimaro — Skeletonize densely labeled image volumes.
• ncolor — label matrix coloring algorithm
• pcg-skel — Skeletonization using the pychunkedgraph
• pciSeq — Probabilistic cell typing for spatial transcriptomics
• webknossos — Python API for working with WEBKNOSSOS datasets, annotations, and for WEBKNOSSOS server interaction.