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optimize loading and application of AI model for foward HB tracking - #1563

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@tongtongcao

@tongtongcao tongtongcao commented Nov 3, 2026 •

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Originally, two separate models are applied for HB tracking: One for inbending, and the other for outbending.
But actually, a model trained on inbending samples also works well for outbending reconstruction by simply flipping the sign of the predicted Q parameter, and vice versa.
Besides, normalization values for features and output states are previously hard-coded.
With this update, these values are loaded from separate statistics files, which are generated during model training based on the training samples. The files are added through the networks by PR https://code.jlab.org/hallb/clas12/coatjava/networks/-/merge_requests/14
This PR prepares for the integration and application of dedicated models for RGL, and will be convenient for application of future models.

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