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The main DeepPhysX Github repository comes with pre-computed data to launch the demo sessions. To generate your data, you must use DeepPhysX with an external simulation framework (such as we did with DeepPhysX.Sofa). I recommand you to install SOFA and its Python bindings, there are available binaries if compiling from source is an issue for you.
To add data in an already existing dataset repository,
you should use the DataGeneration pipeline with the new_session option turned to False (take the Python script from the demo as a starting point).
You also have to use a DatabaseConfig with the existing_directory indicating the path to your dataset.
If you lunch the DataGeneration pipeline, the dataset will be automatically extended with New samples.
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