Skip to main content

A simple tool to visualize the IBL Dataset using the ONE API

Project description

ond_visualization

A simple tool to visualize the IBL Dataset using the ONE API

Contributions

Gerrit Fischer: Brain, Playback, Info, Background, Timeline, ActorTemplate
Duc Cuong Tommy Tran: Timeline Data, Timeline, Skip Functions, Sync Functions
Maximilian Wojak: Library for Data Access

Important information

This software has been developed and tested on Windows systems.
At the moment only a few tests have been done on Linux and MacOS with mixed results.
We highly recommend using a Windows system.
Also Python 3.12 is currently not working because of different dependencies.
We recommend Python 3.11

How to use

1. Install pip package

pip install ond-visualization

2. Run example code

import ond_visualization as ond

session = ond.createSess(Roi="SI")
renderer = ond.Renderer(session)
renderer.startRender()

Alternative

Clone the whole repository and run the main.py file.
For that pip install brainrender has to be run first

Known errors

ImportError: DLL load failed while importing _cext: This error can be resolved by installing another package pip install msvc-runtime

Citations

Brainrender:
Claudi, F., Tyson, A., Petrucco, L., Margrie, T. W., Portugues, R., & Branco, T. (2021). Visualizing anatomically registered data with brainrender. eLife, 10. https://doi.org/10.7554/eLife.65751
SimpleSessionEx:
Wojak, M. https://github.com/Blumenfreund1337/SimpleSessionEx
Vedo:
https://github.com/marcomusy/vedo

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

ond_visualization-1.0.2.tar.gz (22.1 kB view details)

Uploaded Source

Built Distribution

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

ond_visualization-1.0.2-py3-none-any.whl (12.8 kB view details)

Uploaded Python 3

File details

Details for the file ond_visualization-1.0.2.tar.gz.

File metadata

  • Download URL: ond_visualization-1.0.2.tar.gz
  • Upload date:
  • Size: 22.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for ond_visualization-1.0.2.tar.gz
Algorithm Hash digest
SHA256 c133359c3d23c7917ac180fd4c17414e589f3b6cc531e5d837bc27f65fea1fba
MD5 fdb6427cd627d28e5a154ef0f7b909c5
BLAKE2b-256 1e059164504529c4f9c3ed4808763362597db1ed8803b8752cee1620da3bfd34

See more details on using hashes here.

File details

Details for the file ond_visualization-1.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for ond_visualization-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 6dfa2bcb6e13767c9b70d2c162f0aecf8e779808dd2a5e3b0cafe44127d8c2f0
MD5 013404932b2aba86474dba8a6a71f2ee
BLAKE2b-256 9ab4442a9d92f4e81e3ddfcf17730be7d62dfea9ead1280d57a87f4a06d7c420

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