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py.o.train

py.o.train trains ONNX models for timbre recognition in OpenScofo from MIR descriptors extracted from categorized training sounds. Set a trainfolder whose subfolders contain category-specific sounds, select descriptors, run analyze and train, then use export <MODEL_PATH.onnx> to save the model.

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    Open Pd and go to ToolsFind Externals. Search for openscofo~ and install it. Then create an object with declare -lib openscofo~ -path openscofo~. Finally, use py.o.train or any other object from openscofo~.

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