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# CarlaStereo

class torchvision.datasets.CarlaStereo(root: str, transforms: Optional[Callable] = None)

  Carla simulator data linked in the CREStereo github repo.

  The dataset is expected to have the following structure:

      root
          carla-highres
              trainingF
                  scene1
                      img0.png
                      img1.png
                      disp0GT.pfm
                      disp1GT.pfm
                      calib.txt
                  scene2
                      img0.png
                      img1.png
                      disp0GT.pfm
                      disp1GT.pfm
                      calib.txt
                  ...

  Parameters:

    - root (string) – Root directory where carla-highres is located.

    - 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]

    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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