tfl.conditional_pwl_calibration.default_keypoint_output_parameters

Helper creating default keypoint_output_parameters.

tfl.conditional_pwl_calibration.default_keypoint_output_parameters(
    num_keypoints: int,
    units: int = 1,
    monotonicity: str = 'none',
    is_cyclic: bool = False,
    clamp_min: bool = False,
    clamp_max: bool = False,
    derived_missing_output: bool = False
) -> Optional[tf.Tensor]

Primarily used for testing.

Args
`num_keypoints`	number of keypoints for inputs.
`units`	number of parallel calibrations on one input.
`monotonicity`	`none` or `increasing`, monotonicity of the calibration.
`is_cyclic`	whether the calibration is cyclic. Only works if `monotonicity == none`.
`clamp_min`	whether the leftmost keypoint should be clamped. Only works if `monotonicity == increasing`.
`clamp_max`	whether the rightmost keypoint should be clamped. Only works if `monotonicity == increasing`.
`derived_missing_output`	whether to reserve a placeholder for the missing output value.

Returns
A tensor with a shape of `(1, units, output_param_size)`.

Raises
`ValueError` if parsing failed.

tfl.conditional_pwl_calibration.default_keypoint_output_parameters

Args

Returns

Raises