Metadata-Version: 2.2
Name: connectomics
Version: 0.0.3
Summary: Common repository for connectomics-related libraries.
Home-page: https://github.com/google-research/connectomics
Author: Google Connectomics Team
Author-email: noreply@google.com
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: absl-py
Requires-Dist: dataclasses-json>=0.5.6
Requires-Dist: edt
Requires-Dist: numpy
Requires-Dist: sofima
Requires-Dist: scikit-image
Requires-Dist: scipy
Provides-Extra: decorators
Requires-Dist: gin-config; extra == "decorators"
Requires-Dist: jax; extra == "decorators"
Requires-Dist: tensorstore; extra == "decorators"
Provides-Extra: materialize-tensor
Requires-Dist: apache-beam; extra == "materialize-tensor"
Requires-Dist: connectomics[decorators]; extra == "materialize-tensor"
Provides-Extra: segclr
Requires-Dist: tensorflow; extra == "segclr"
Requires-Dist: edward2; extra == "segclr"
Requires-Dist: scikit-learn; extra == "segclr"

# Connectomics

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)

### _Note: Under heavy development_

_This repository is currently under significant development, and should not be considered stable. Semantic versioning is not guaranteed for now; APIs may - and likely will - change often and without notice._

## About this repository

Common code for analyzing volumetric datasets for connectomic reconstruction, including geometric primitives like `BoundingBox` and `BoxGenerator`, and dealing with segmentation ID ranges, including relabeling, making ranges contiguous, and testing whether two volumes contain equivalent sequences. 

Coming soon: pipeline primitives to process subvolumes.

## Projects using Connectomics

1. [SOFIMA](https://www.github.com/google-research/sofima) - SOFIMA (Scalable Optical Flow-based Image Montaging and Alignment) is a tool for stitching, aligning and warping large 2d, 3d and 4d microscopy datasets.


_This is not an officially supported Google product._
