Source code for pytomography.mappings.mapping

from __future__ import annotations
import abc
import torch
import torch.nn as nn
import pytomography
from pytomography.metadata import ObjectMeta, ImageMeta

[docs]class MapNet(nn.Module, metaclass=abc.ABCMeta): """``MapNet`` is the parent class for all mappings used in reconstruction (obj2obj, im2im, obj2im). Subclasses must implement the ``forward`` method. Args: device (str): Pytorch device used for computation """ def __init__(self, device: str = 'cpu') -> None: """Used to initialize the correction network. Args: device (str, optional): Pytorch computation device. Defaults to 'cpu'. """ super(MapNet, self).__init__() self.device = pytomography.device if device is None else device
[docs] def initialize_network(self, object_meta: ObjectMeta, image_meta: ImageMeta) -> None: """Initalizes the correction network using the object/image metadata Args: object_meta (ObjectMeta): Object metadata. image_meta (ImageMeta): Image metadata. """ self.object_meta = object_meta self.image_meta = image_meta
@abc.abstractmethod
[docs] def forward(self, x: torch.tensor): """Abstract method; must be implemented in subclasses to apply a correction to an object/image and return it """ ...