- class torchvision.datasets.Kitti(root: str, train: bool = True, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, transforms: Optional[Callable] = None, download: bool = False)¶
It corresponds to the “left color images of object” dataset, for object detection.
root (string) –
Root directory where images are downloaded to. Expects the following folder structure if download=False:
<root> └── Kitti └─ raw ├── training | ├── image_2 | └── label_2 └── testing └── image_2
train (bool, optional) – Use
trainsplit if true, else
testsplit. Defaults to
transform (callable, optional) – A function/transform that takes in a PIL image and returns a transformed version. E.g,
target_transform (callable, optional) – A function/transform that takes in the target and transforms it.
transforms (callable, optional) – A function/transform that takes input sample and its target as entry and returns a transformed version.
download (bool, optional) – If true, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again.
- __getitem__(index: int) Tuple[Any, Any] ¶
Get item at a given index.