tfg.nn.loss.hausdorff_distance.evaluate

Computes the Hausdorff distance from point_set_a to point_set_b.

tfg.nn.loss.hausdorff_distance.evaluate(
    point_set_a: type_alias.TensorLike,
    point_set_b: type_alias.TensorLike,
    name: str = 'hausdorff_distance_evaluate'
) -> tf.Tensor

Note
Hausdorff distance from point_set_a to point_set_b is defined as the maximum of all distances from a point in point_set_a to the closest point in point_set_b. It is an asymmetric metric.

Note
This function returns the exact Hausdorff distance and not an approximation.

Note
In the following, A1 to An are optional batch dimensions, which must be broadcast compatible.

Args
point_set_a	A tensor of shape [A1, ..., An, N, D], where the last axis represents points in a D dimensional space.
point_set_b	A tensor of shape [A1, ..., An, M, D], where the last axis represents points in a D dimensional space.
name	A name for this op. Defaults to "hausdorff_distance_evaluate".

Returns
A tensor of shape [A1, ..., An] storing the hausdorff distance from from point_set_a to point_set_b.

Raises
ValueError	if the shape of point_set_a, point_set_b is not supported.