tfg.geometry.representation.ray.sample_1d

Sample points on a ray using a sampling strategy (ray wrapper for sampling functions).

tfg.geometry.representation.ray.sample_1d(
    ray_org: TensorLike,
    ray_dir: TensorLike,
    near: Union[float, TensorLike],
    far: Union[float, TensorLike],
    n_samples: int,
    strategy: str = 'stratified',
    name: str = 'sample_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 scalar (float) or a tensor of shape [A1, ..., An].
far	The largest distance from the ray origin that a sample can have. It can be a scalar (float) or a tensor of shape [A1, ..., An].
n_samples	A number M to sample on the ray.
strategy	The sampling strategy.
name	A name for this op that defaults to "sample_1d".

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.