ETH3DStereo¶
- class torchvision.datasets.ETH3DStereo(root: str, split: str = 'train', transforms: Optional[Callable] = None)[source]¶
ETH3D Low-Res Two-View dataset.
The dataset is expected to have the following structure:
root ETH3D two_view_training scene1 im1.png im0.png images.txt cameras.txt calib.txt scene2 im1.png im0.png images.txt cameras.txt calib.txt ... two_view_training_gt scene1 disp0GT.pfm mask0nocc.png scene2 disp0GT.pfm mask0nocc.png ... two_view_testing scene1 im1.png im0.png images.txt cameras.txt calib.txt scene2 im1.png im0.png images.txt cameras.txt calib.txt ...
- Parameters:
root (string) – Root directory of the ETH3D Dataset.
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]] [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 implicitlyNone
if thetransforms
parameter does not generate a valid mask. Bothdisparity
andvalid_mask
areNone
if the dataset split is test.- Return type: