35 lines
1.2 KiB
Markdown
35 lines
1.2 KiB
Markdown
# tomcat_blender
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Scripts to automate TOMCAT data visualization in blender with python.
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TODO:
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- [ ] make cool logo from current sketch
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- [ ] build into python module with classes
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- [ ] maybe wrap system call of blender
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- [x] add cupy/cucim support (partly done)
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- [x] use openvdb for volume import in blender
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required packages: xarray, scikit-image, trimesh, numpy
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## How to use
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1. Create data files usable in blender
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1. Extract series stl-files for desired time series with e.g. 01_extract_surfaces.py
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or
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1. Convert numpy arrays to openvdb files, e.g. 04_npy_to_openvdb_in_blender.py . OpenVDB is very useful https://www.youtube.com/watch?v=cqLhhjxch2s. You can load the vdb files as Animation in blender and then do everything there without the following steps.
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1. Choose appropitate time step to set up scene and everything (e.g. cycles-render) in blender, do a test render, save the blend-file
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1. Run the animation script from command line
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Windows
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```bash
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<path_to_binary>blender.exe blend-file.blend --background --python testanimscriptfull.py
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```
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1. (optional) adjust frame and sampling rate, better option: create separate avi-files, merge and convert to mkv, e.g. combining ImageJ and ffmpeg
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