LVAE

Convert microsplit Lightning trainer outputs using eval_utils stitching functions.

This function processes microsplit predictions that return (tile_prediction, tile_std) tuples and stitches them back together using the same logic as get_single_file_mmse.

Parameters:

• predictions (list of tuple[NDArray, NDArray]) –

  Predictions from Lightning trainer for microsplit. Each element is a tuple of (tile_prediction, tile_std) where both are numpy arrays from predict_step.

• dataset (Dataset) –

  The dataset object used for prediction, needed for stitching function selection and stitching process.

Returns:

• tuple[NDArray, NDArray] –

  A tuple of (stitched_predictions, stitched_stds) representing the full stitched predictions and standard deviations.

Stitch predictions back together using dataset's index manager.

Parameters:

• predictions (ndarray) –

  Array of predictions with shape (n_tiles, channels, height, width).

• dset (Dataset) –

  Dataset object with idx_manager containing tiling information.

Returns:

• ndarray –

  Stitched predictions.