InStereo2k — Torchvision 0.22 documentation (original) (raw)
class torchvision.datasets.InStereo2k(root: Union[str, Path], split: str = 'train', transforms: Optional[Callable] = None)[source]¶
InStereo2k dataset.
The dataset is expected to have the following structure:
root InStereo2k train scene1 left.png right.png left_disp.png right_disp.png ... scene2 ... test scene1 left.png right.png left_disp.png right_disp.png ... scene2 ...
Parameters:
- root (str or
pathlib.Path) – Root directory where InStereo2k is located. - split (string) – Either “train” or “test”.
- transforms (callable , optional) – A function/transform that takes in a sample and returns a transformed version.
Special-members:
__getitem__(index: int) → Tuple[Image, Image, Optional[ndarray], ndarray][source]¶
Return example at given index.
Parameters:
index (int) – The index of the example to retrieve
Returns:
A 3-tuple with (img_left, img_right, disparity). The disparity is a numpy array of shape (1, H, W) and the images are PIL images. If a valid_mask is generated within the transforms parameter, a 4-tuple with (img_left, img_right, disparity, valid_mask) is returned.
Return type: