Skip to main content

Conversion of images to the Neuroglancer pre-computed format

Project description

neuroglancer-scripts

Tools for converting volumetric images and surface meshes to the pre-computed format of Neuroglancer.

PyPI Version Build Status Coverage Status Documentation Status

Installation

The easiest way to install the latest stable version of neuroglancer-scripts is through pip. Using a virtual environment is recommended:

python3 -m venv venv/
. venv/bin/activate
pip install neuroglancer-scripts

Usage

See the documentation.

Development

The code is hosted on https://github.com/HumanBrainProject/neuroglancer-scripts.

Useful commands for development:

git clone https://github.com/HumanBrainProject/neuroglancer-scripts.git

# Install in a virtual environment
cd neuroglancer-scripts
python3 -m venv venv/
. venv/bin/activate
pip install -e .[dev]

# Tests
pytest  # run tests
pytest --cov=neuroglancer_scripts --cov-report=html  # detailed test coverage report
tox  # run tests under all supported Python versions

# Please install pre-commit if you intend to contribute
pre-commit install  # install the pre-commit hook

Contributing

This repository uses pre-commit to ensure that all committed code follows minimal quality standards. Please install it and configure it to run as a pre-commit hook in your local repository (see above).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

neuroglancer-scripts-1.0.0.tar.gz (61.8 kB view hashes)

Uploaded source

Built Distribution

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page