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seung-lab's Projects

abiss icon abiss

Affinity based image segmentation system

alembic icon alembic

A set of tools for elastic image registration in Julia

augmentor icon augmentor

Data augmentation for training 3D convolutional nets

bigarrays.jl icon bigarrays.jl

Storing and accessing large Julia array locally or in cloud storage without server.

bossarrays.jl icon bossarrays.jl

Julia interface to BOSS for large scale image cutout and chunk saving.

cavepipelines icon cavepipelines

instructions for creating chunkedgraph, initial meshing, l2cache etc

chunkflow icon chunkflow

Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation

cloud-files icon cloud-files

Threaded Python and CLI client library for AWS S3, Google Cloud Storage (GCS), in-memory, and the local filesystem.

cloudvolume.jl icon cloudvolume.jl

Read and Write Neuroglancer Precomputed using a Julia wrapper for Python's cloud-volume

compressedseg icon compressedseg

compressed_segmentation for Neuroglancer volumes. This is the PyPI package fork.

compresso icon compresso

Compresso: Efficient Compression of Segmentation Data For Connectomics

connected-components-3d icon connected-components-3d

Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)

corgie icon corgie

Command line tool for registration of very large 3D volumes.

crackle icon crackle

3D dense segmentation compression codec based on crack codes.

cross-section icon cross-section

Tools for computing properties of cross sections of 3D voxelized images.

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