napari-UniSPAC 1.0.6

A Unified Segmentation framework for Proofreading and Annotation in Connectomics (UniSPAC)!

# napari-UniSPAC The napari plugin for UniSPAC [A Unified Segmentation framework for Proofreading and Annotation in Connectomics]. UniSPAC provides interactive 3D neuron segmentation. Neuron segmentation, proofreading and tracking can be done with just mouse clicks, which is much more efficient than existing tools.

## Requirements

A system with enough GPU memory and pytorch installed. The size of the GPU memory is related to the size of the vEM image that can be processed. For test_roi1_sub_z0-100.tiff with a shape of 800x800x100, the recommended minimum GPU memory is 12GB.

## Installation

Step 1: install napari via pip:

`shell pip install -U 'napari[all]' `

Step 2: install napari-UniSPAC

`shell git clone https://github.com/ddd9898/napari-UniSPAC.git cd napari-UniSPAC pip install -e . `

Step 3: run napari:

`shell napari `

You can familiarise yourself with how UniSPAC’s napari plugin operates by labeling test_roi1_sub_z0-100.tiff, which is an example of Drosophila vEM images.