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A Kabaret flow tailor-made for the production of a feature film

Project description

The Siren Flow

Description

This project is part of the wider asset management project Libre Flow based on Kabaret Studio framework and its flow paradigm. The latter consists in describing the structure of a fabrication pipeline and the data circulating on it. The Siren flow is aimed at supporting the fabrication of the feature film The Siren.

Dependencies

  • Python (>= 3.7)
  • Kabaret
  • Libreflow

Installation

Coming soon...

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning[^1].

[Unreleased]

[0.1.0] - 2021-02-08

Added

  • Added a films map at project's root to allow project flow and test flow on a test movie
  • Added the right asset library description with a asset family
  • Added many basic departements for the library and the shots
  • Added a Custom Home for this project, so far it's the same as libreflow.examples.majorque's but will be tuned soon.
  • Added a custom GUI, allowing to call the new custom Home
  • Added a custom Style, allowing us to fix issues with released style, and make tweaks for this project.
  • AI and WAV file formats made available for the production
  • Custom TrackedFolder injection to handle the new lib filenames righ

Changed

  • The home page has been changed
  • Minimum libreflow requiered version is now 1.2.0

[0.0.4] - 2021-02-05

Fixed

Rename source folder in accordance to PyPI package name

[0.0.3] - 2021-02-05

Configuration for auto deployment

[0.0.1] - 2021-02-04

Initial public commit and PyPI setup. This version is an early version of libreflow.the_siren. It defines a flow derived from Libre Flow's baseflow, and designed to support the workflow and dataflow involved in an animation feature film project.

Fixed

libreflow.the_siren is now ready for use as a pip package

Project details


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Source Distribution

libreflow.thesiren-0.1.0.tar.gz (31.3 kB view hashes)

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