artist.field.tower_target_areas

Attributes

A logger for the tower target areas.

Classes

TowerTargetAreas

Initialize the target areas.

Module Contents

artist.field.tower_target_areas.log: A logger for the tower target areas.

class artist.field.tower_target_areas.TowerTargetAreas(names: list[str], centers: torch.Tensor, normals: torch.Tensor)

Initialize the target areas.

Parameters

nameslist[str]: The name of each target area.
centerstorch.Tensor: Center point coordinate of each target area. Shape is [number_of_target_areas, 4].
normalstorch.Tensor: Normal vector of each target area. Shape is [number_of_target_areas, 4].

names

centers

normals

number_of_target_areas

classmethod from_hdf5(config_file: h5py.File, device: torch.device | None = None) → Self

Abstractmethod:

Load all target areas from an HDF5 file.

Parameters

config_fileh5py.File: The HDF5 file containing the configuration to be loaded.
devicetorch.device | None: The device on which to perform computations or load tensors and models (default is None). If None, ARTIST will automatically select the most appropriate device (CUDA or CPU) based on availability and OS.

Raises

NotImplementedError: This abstract method must be overridden.