tfg.geometry.representation.ray.sample_stratified_1d
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Sample points on a ray using stratified sampling.
tfg.geometry.representation.ray.sample_stratified_1d(
ray_org: TensorLike,
ray_dir: TensorLike,
near: Union[float, TensorLike],
far: Union[float, TensorLike],
n_samples: int,
name: str = 'sample_stratified_1d'
) -> Tuple[tf.Tensor, tf.Tensor]
Args |
ray_org
|
A tensor of shape [A1, ..., An, 3] ,
where the last dimension represents the 3D position of the ray origin.
|
ray_dir
|
A tensor of shape [A1, ..., An, 3] ,
where the last dimension represents the 3D direction of the ray.
|
near
|
The smallest distance from the ray origin that a sample can have; it
can be a float or a tensor of shape [A1, ..., An] , broadcast compatible.
|
far
|
The largest distance from the ray origin that a sample can have; it
can be a float or a tensor of shape [A1, ..., An] , broadcast compatible.
|
n_samples
|
A number M to sample on the ray.
|
name
|
A name for this op that defaults to "stratified_sampling".
|
Returns |
A tensor of shape [A1, ..., An, M, 3] indicating the M points on the ray
and a tensor of shape [A1, ..., An, M] for the Z values on the points.
|
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Last updated 2022-10-28 UTC.
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{"lastModified": "Last updated 2022-10-28 UTC."}
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