seung-lab

Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.

seung-lab

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

seung-lab

Read and write Neuroglancer datasets programmatically.

seung-lab

Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)

seung-lab

Dijkstra's Shortest Path for 6, 18, and 26-Connected 3D (Volumetric) Image Volumes

seung-lab

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

seung-lab

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

seung-lab

Python wrapper for Google's Draco mesh compression library.

seung-lab

Remap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.

seung-lab

Cython bindings for fpzip, a floating point image compression algorithm.

seung-lab