KittiFlow¶
- class torchvision.datasets.KittiFlow(root: str, split: str = 'train', transforms: Optional[Callable] = None)[source]¶
KITTI dataset for optical flow (2015).
The dataset is expected to have the following structure:
root KittiFlow testing image_2 training image_2 flow_occ
- Parameters:
root (string) – Root directory of the KittiFlow Dataset.
split (string, optional) – The dataset split, either “train” (default) or “test”
transforms (callable, optional) – A function/transform that takes in
img1, img2, flow, valid_flow_mask
and returns a transformed version.
- Special-members:
- __getitem__(index: int) Union[Tuple[Image, Image, Optional[ndarray], Optional[ndarray]], 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
(img1, img2, flow, valid_flow_mask)
wherevalid_flow_mask
is a numpy boolean mask of shape (H, W) indicating which flow values are valid. The flow is a numpy array of shape (2, H, W) and the images are PIL images.flow
andvalid_flow_mask
are None ifsplit="test"
.- Return type: