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InStereo2k

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

InStereo2k dataset.

The dataset is expected to have the following structre:

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 (string) – 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[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:

tuple

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