Client for cortical CAVE datasets
Project description
Cortical Tools
Cortical Tools offers dataset-specific Python clients for interacting with several CAVE datasets, in particular the Microns65 dataset and V1dd dataset. It wraps CAVEclient and related tooling with a more task-focused design than the infrastructure-focused CAVEclient. The public entry point is a preconfigured client for datasets.
- Get started with the Examples
Who can use it?
Cortical Tools can be used if you are working with either the publicly accessible datastacks minnie65_public or v1dd_public.
In addition, if you are using the production datastacks for these same datastacks, you can use those as well.
Installation
pip install cortical-tools
(Really, you should probably be using uv and doing uv add cortical-tools to your project.)
Cortical Tools is opinionated, and installs not only CAVEclient, but a number of related tools like nglui, pcg_skel, cloudvolume, and standard_transform that are commonly used in conjunction with CAVE datasets.
Quick start
from cortical_tools.datasets.minnie_public import client
client
This will return a MinniePublicClient object that is ready to use. For example, client.neuroglancer_url() will return a URL that opens the Neuroglancer viewer at the specified location.
Your standard CAVEclient functionality is available under client.cave.
Who made this?
This is a totally unofficial tool that Casey Schneider-Mizell made to use for himself, and maybe you'll find some useful things here too.
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