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Streamlining the Integration of Ozone Animation Clips with Python

In this video, the focus is on a Python script designed to simplify the integration of Ozone animation clips into an Unreal Engine project. This tutorial is geared towards automating key steps and providing a foundation for integrating Ozone into your workflow.

Key Steps Covered:

  • Introduction to the Script: The video begins by explaining that the script is not a comprehensive guide but rather a tool to automate essential steps in integrating Ozone animation clips. It highlights that this script provides the necessary components to start integrating Ozone into your pipeline.
  • Directory and Version Management: The script is configured to scan a directory containing version folders. It identifies the latest version, searches for Ozone clips, and matches them with any actors in the specified directory. This ensures that the most recent clips are used in the integration process.
  • Level Sequence Population: The script then takes the matching level sequence in Unreal Engine and populates it with Ozone data, including spawned actors. It also sets up the sequence’s work range, making it ready for the next steps like lighting and VFX.
  • Environment Variables and Unreal Subsystems: The video covers how to set up environment variables, specifying paths to shots within Unreal Engine and the file system. It also involves initializing Unreal Engine subsystems necessary for level editing, executing editor commands, and managing actors.
  • Automating Asset Import: A core functionality of the script is the automation of the asset import process. The script handles the importation of assets, streamlining what would otherwise be a manual task.
  • Clips to Sequence Function: This function performs the bulk of the work by loading sequences, determining actor names, and preparing paths for importing the clips. It checks for existing actors in the sequence and creates new ones if necessary.
  • Ensuring Proper Scaling and Importing Clip Assets: The script includes functions to ensure that actors are scaled correctly in the scene. It then imports the clip assets into Unreal, calculates the clip’s duration and frame count, and adjusts the sequence’s work view and ranges accordingly.
  • Updating Tracks and Finalizing: The script removes old tracks from the actor and adds new tracks for in-time and clip assets, assigning appropriate keys to each track. A scoped slow task is then run, displaying a dialogue box to show the progress of the script.
  • Execution in Unreal Engine: The Python script is copied and pasted into the Python command line in Unreal Engine. Once executed, the script runs the necessary tasks, automatically opens the sequence, and allows the user to scrub the timeline to verify that the animation has been correctly imported. The video emphasizes that this is not a scripting tutorial but rather a practical tool to help you get start with your Ozone pipeline.

This video provides a powerful tool for automating the integration of Ozone animation clips, making the process more efficient and less prone to errors.