nicetoolbox.connectors.napari.parser¶

Parse napari body-joint annotations into Toolbox body_joints NPZ.

The napari (DeepLabCut-style) annotation file uses a 4-level column index (scorer, individuals, bodyparts, coords) and a 3-level row index (root, camera, image_filename).

Output shape: 2d (subjects, cameras, frames, joints, 3) — x/y/confidence. Missing frames within the kept window are written as NaN.

Functions

`load_napari_dataframe`	Load a napari CSV or HDF5 annotation file as a MultiIndex DataFrame.
`napari_to_body_joints_npz`	Convert one napari annotation file to a Toolbox body_joints NPZ.

nicetoolbox.connectors.napari.parser.load_napari_dataframe(input_path: Path) → DataFrame[source]¶: Load a napari CSV or HDF5 annotation file as a MultiIndex DataFrame.

nicetoolbox.connectors.napari.parser.napari_to_body_joints_npz(sequence: NapariSequenceConfig, cfg: NapariImportBodyJointsConfig) → None[source]¶: Convert one napari annotation file to a Toolbox body_joints NPZ.