from_anipose_style_df

movement.io.load_poses.from_anipose_style_df(df, fps=None, individual_name='individual_0')

Create a movement poses dataset from an Anipose 3D dataframe.

Parameters:

• df (pd.DataFrame) – Anipose triangulation dataframe

• fps (float, optional) – The number of frames per second in the video. If None (default), the time coordinates will be in frame units.

• individual_name (str, optional) – Name of the individual, by default “individual_0”

Returns:

movement dataset containing the pose tracks, confidence scores, and associated metadata.

Return type:

xarray.Dataset

Notes

Reshape dataframe with columns keypoint1_x, keypoint1_y, keypoint1_z, keypoint1_score,keypoint2_x, keypoint2_y, keypoint2_z, keypoint2_score…to array of positions with dimensions time, space, keypoints, individuals, and array of confidence (from scores) with dimensions time, keypoints, individuals.