to_sleap_analysis_file

movement.io.save_poses.to_sleap_analysis_file(ds, file_path)

Save a movement dataset to a SLEAP analysis file.

Parameters:

• ds (xarray.Dataset) – movement dataset containing pose tracks, confidence scores, and associated metadata.

• file_path (pathlib.Path or str) – Path to the file to save the poses to. File extension must be .h5.

Return type:

None

Notes

The output file will contain the following keys (as in SLEAP .h5 analysis files): “track_names”, “node_names”, “tracks”, “track_occupancy”, “point_scores”, “instance_scores”, “tracking_scores”, “labels_path”, “edge_names”, “edge_inds”, “video_path”, “video_ind”, “provenance” [1]. However, only “track_names”, “node_names”, “tracks”, “track_occupancy” and “point_scores” will contain data extracted from the input dataset. “labels_path” will contain the path to the input file only if the source file of the dataset is a SLEAP .slp file. Otherwise, it will be an empty string. The other attributes and data variables that are not present in the input dataset will contain default (empty) values.

References

[1]

https://sleap.ai/api/sleap.info.write_tracking_h5.html

Examples

>>> from movement.io import save_poses, load_poses
>>> ds = load_poses.from_dlc_file("path/to/file.h5")
>>> save_poses.to_sleap_analysis_file(
...     ds, "/path/to/file_sleap.analysis.h5"
... )