movement.io.validators.ValidPosesDataset#
- class movement.io.validators.ValidPosesDataset(*, position_array, confidence_array=None, individual_names=None, keypoint_names=None, fps=None, source_software=None)[source]#
Class for validating data intended for a
movementdataset.- position_array#
Array of shape (n_frames, n_individuals, n_keypoints, n_space) containing the poses.
- Type:
np.ndarray
- confidence_array#
Array of shape (n_frames, n_individuals, n_keypoints) containing the point-wise confidence scores. If None (default), the scores will be set to an array of NaNs.
- Type:
np.ndarray, optional
- individual_names#
List of unique names for the individuals in the video. If None (default), the individuals will be named “individual_0”, “individual_1”, etc.
- Type:
list of str, optional
- keypoint_names#
List of unique names for the keypoints in the skeleton. If None (default), the keypoints will be named “keypoint_0”, “keypoint_1”, etc.
- Type:
list of str, optional
- fps#
Frames per second of the video. Defaults to None.
- Type:
float, optional
- source_software#
Name of the software from which the poses were loaded. Defaults to None.
- Type:
str, optional
- __init__(*, position_array, confidence_array=None, individual_names=None, keypoint_names=None, fps=None, source_software=None)#
Method generated by attrs for class ValidPosesDataset.
Methods
__init__(*, position_array[, ...])Method generated by attrs for class ValidPosesDataset.
Attributes