PhotoTour¶
-
class
torchvision.datasets.PhotoTour(root: str, name: str, train: bool = True, transform: Optional[Callable] = None, download: bool = False)[source]¶ Multi-view Stereo Correspondence Dataset.
Note
We only provide the newer version of the dataset, since the authors state that it
is more suitable for training descriptors based on difference of Gaussian, or Harris corners, as the patches are centred on real interest point detections, rather than being projections of 3D points as is the case in the old dataset.
The original dataset is available under http://phototour.cs.washington.edu/patches/default.htm.
- Parameters
root (string) – Root directory where images are.
name (string) – Name of the dataset to load.
transform (callable, optional) – A function/transform that takes in an PIL image and returns a transformed version.
download (bool, optional) – If true, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again.
- Special-members
-
__getitem__(index: int) → Union[torch.Tensor, Tuple[Any, Any, torch.Tensor]][source]¶
