Skip to main content

Python package to work with webKnossos datasets and annotations

Project description

webKnossos Python Library

PyPI version Supported Python Versions Build Status Documentation Code Style

Python API for working with webKnossos datasets, annotations, and for webKnossos server interaction.

For the webKnossos server, please refer to https://github.com/scalableminds/webknossos.

Features

  • easy-to-use dataset API for reading/writing/editing raw 2D/3D image data and volume annotations/segmentation in webKnossos wrap (*.wkw) format
    • add/remove layers
    • update metadata (datasource-properties.json)
    • up/downsample layers
    • compress layers
    • add/remove magnifications
    • execute any of the wkCuber operations from your code
  • manipulation of webKnossos skeleton annotations (*.nml) as Python objects
    • access to nodes, comments, trees, bounding boxes, metadata, etc.
    • create new skeleton annotation from Graph structures or Python objects
  • interaction, connection & scripting with your webKnossos instance over the REST API
    • up- & downloading annotations and datasets

Please refer to the documentation for further instructions.

Installation

The webknossos package requires at least Python 3.7+.

You can install it from pypi, e.g. via pip:

pip install webknossos

Examples

See the examples folder or the the documentation.

License

AGPLv3 Copyright scalable minds

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

webknossos-0.9.1.tar.gz (95.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

webknossos-0.9.1-py3-none-any.whl (153.2 kB view details)

Uploaded Python 3

File details

Details for the file webknossos-0.9.1.tar.gz.

File metadata

  • Download URL: webknossos-0.9.1.tar.gz
  • Upload date:
  • Size: 95.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.11 CPython/3.8.12 Linux/5.11.0-1027-azure

File hashes

Hashes for webknossos-0.9.1.tar.gz
Algorithm Hash digest
SHA256 eadf0c9848e27c91368a8be12eaf5c639fab16bd23887235dc863439d58deeb6
MD5 d8e15d8c51212a3f1a895d7675762530
BLAKE2b-256 6c49ee53745ca4088082b4911f6904f8f26a9a6441303d3f3de1f3fe15659495

See more details on using hashes here.

File details

Details for the file webknossos-0.9.1-py3-none-any.whl.

File metadata

  • Download URL: webknossos-0.9.1-py3-none-any.whl
  • Upload date:
  • Size: 153.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.11 CPython/3.8.12 Linux/5.11.0-1027-azure

File hashes

Hashes for webknossos-0.9.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5ea4654603c2e4cb8c50cf2c3c478203aa65f9201bee031d8c152dd94cecc9eb
MD5 3addeeb8a13afe02c94a37650ce4bcf5
BLAKE2b-256 3cfc680554bc88d81a72abd832f3062f5778921f16371bce8a73ad87baf5055b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page