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AnimHost

AnimHost connects animation generators to Digital Content Creation applications, on-set tools like VPET or Game Engines in general. It explores enhanced XR production processes for animated films, utilising machine learning with a “fair use of data” and an “artists in the loop” approach. AnimHost

AninHost web site: https://research.animationsinstitut.de/animhost

Build Instructions

Follow these steps to set up the project on your local machine:

  1. Clone the repository You can clone the repository and it's submodules by running the following command in your terminal:
    git clone --recurse-submodules https://github.com/FilmakademieRnd/AnimHost.git
    
  2. Navigate to the project directory - Change your current directory to the project directory:
    cd AnimHost
    
  3. Create a build directory - Create a new directory named build in the project directory:
    mkdir build
    
  4. Navigate to the build directory - Change your current directory to the build directory:
    cd build
    
  5. Run CMake - Run CMake to generate the build files, specifying Visual Studio as the generator. This project uses vcpkg for third-party dependencies, so this step might take some time. Replace ../AnimHost with the path to the source code if it's not in the parent directory:
    cmake -G "Visual Studio 17 2022" ../AnimHost
    
  6. Build the project - Finally, you can build the project using the generated build files. You can specify the configuration (Debug, Release, etc.) with the --config option:
    cmake --build . --config Release
    

About

         

AnimHost is a development by Filmakademie Baden-Wuerttemberg, Animationsinstitut R&D Labs in the scope of the EU funded project MAX-R (101070072).

Funding

Animationsinstitut R&D

This project has received funding from the European Union's Horizon Europe Research and Innovation Programme under Grant Agreement No 101070072 MAX-R.

License

AnimHost is a open-sorce development by Filmakademie Baden-Wuerttemberg's Animationsinstitut.
The framework is licensed under MIT. See License info file for more details.

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  • C++ 85.6%
  • C 5.9%
  • Jupyter Notebook 4.7%
  • Python 2.4%
  • CMake 1.4%