tfl.conditional_pwl_calibration.default_keypoint_input_parameters
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Helper creating default keypoint_input_parameters
.
tfl.conditional_pwl_calibration.default_keypoint_input_parameters(
num_keypoints: Optional[int] = None,
keypoints: Optional[Sequence[float]] = None,
units: int = 1
) -> Optional[tf.Tensor]
Primarily used for testing.
Args |
num_keypoints
|
number of keypoints. If provided, keypoints will be equally
spaced.
|
keypoints
|
sequence of increasing keypoints.
|
units
|
number of parallel calibrations on one input.
|
Returns |
A tensor with a shape of (1, units, input_param_size) or
(1, units, input_param_size) .
|
Raises |
ValueError if parsing failed.
|
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Last updated 2024-08-02 UTC.
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