InStereo2k

class torchvision.datasets.InStereo2k(root: Union[str, Path], split: str = 'train', transforms: Optional[Callable] = None)

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[PIL.Image.Image, PIL.Image.Image, Optional[numpy.ndarray], numpy.ndarray]

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:

tuple