NOTE: Now maintained at https://github.com/ScrollPrize/villa/tree/main/scroll-renderer (this repository archived)
Scroll Renderer is a Python package developed by the Vesuvius Challenge Team 2024. It provides tools for flattening and rendering 3D meshes of segments of the Herculaneum Papyri. It is currently in alpha version.
- Python 3.11 (no newer versions are currently supported)
- CUDA 12+ installed on the machine
It is recommended to run this package in a Conda environment to manage dependencies effectively.
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Clone the repository and navigate to the project directory:
git clone https://github.com/your-repo/scroll_renderer.git cd scroll_renderer -
Install the package in editable mode:
pip install -e .
The package provides command-line utilities for working with mesh files. For more options and details on each command, you can use the --help option after any command.
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Flatten a Mesh
Use the
slim_uvcommand to flatten a mesh with the following options:slim_uv --path 20241025062044_intermediate_mesh.obj --ic harmonic --iter 200
--path: Path to the intermediate mesh file (e.g.,.objfile).--ic: Initial condition; options areharmonicorarap.--iter: Number of iterations.
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Render a Flattened Mesh
After flattening, use
mesh_to_surfaceto generate a surface render of the mesh:mesh_to_surface 20241025062044_intermediate_mesh_flatboi.obj /mnt/localdisk/scrolls/Scroll5 --r 32
- First argument: Path to the flattened mesh file.
- Second argument: Scroll volume, can be zarr, tifstack or grid cells.
--r: Half number of layers in the surface volume besides the center (e.g.,32will give 65 layers, the middle +- 32).--triangle_batch: Choose how many triangles to process per batch, default5000--max_side_triangle: Choose the max length of the side of a triangle when creating dataset, default10--nr_workers: Choose nr workers to load the dataset--prefetch_factor: Choose the prefetch factor, default2
For additional options and usage information, use --help with any command (e.g., slim_uv --help or mesh_to_surface --help).
MIT License
Developed by: Vesuvius Challenge Tech Team 2024 (Stephen Parsons, Julian Schilliger, Giorgio Angelotti and Youssef Nader)