NYUv2#
- class torch_uncertainty.datasets.NYUv2(root, split, transforms=None, min_depth=0.0, max_depth=10.0, download=False)[source]#
NYUv2 depth dataset.
- Parameters:
root (
Path|str) – Root directory where dataset is stored.split (
Literal['train','val']) – Dataset split.transforms (
Callable|None) – Transform to apply to samples & targets. Defaults toNone.min_depth (
float) – Minimum depth value. Defaults to1e-3.max_depth (
float) – Maximum depth value. Defaults to10.download (
bool) – Download dataset if not found. Defaults toFalse.