Kitti2012Stereo — Torchvision 0.22 documentation (original) (raw)
class torchvision.datasets.Kitti2012Stereo(root: Union[str, Path], split: str = 'train', transforms: Optional[Callable] = None)[source]¶
KITTI dataset from the 2012 stereo evaluation benchmark. Uses the RGB images for consistency with KITTI 2015.
The dataset is expected to have the following structure:
root Kitti2012 testing colored_0 1_10.png 2_10.png ... colored_1 1_10.png 2_10.png ... training colored_0 1_10.png 2_10.png ... colored_1 1_10.png 2_10.png ... disp_noc 1.png 2.png ... calib
Parameters:
- root (str or
pathlib.Path) – Root directory where Kitti2012 is located. - split (string , optional) – The dataset split of scenes, either “train” (default) 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 4-tuple with (img_left, img_right, disparity, valid_mask). The disparity is a numpy array of shape (1, H, W) and the images are PIL images.valid_mask is implicitly None if the transforms parameter does not generate a valid mask. Both disparity and valid_mask are None if the dataset split is test.
Return type: