simet.providers.local_provider_no_class

simet.providers.local_provider_no_class

LocalProviderWithoutClass

LocalProviderWithoutClass(data_path)

Bases: Provider

Provider that exposes unlabeled images from a local folder tree.

Wraps :class:simet.datasets.NoClassImageDataset to read all images found recursively under self.data_path and apply the given project :class:Transform. Targets are a dummy 0 for every sample (no classes).

Notes

• Use when you only need images (e.g., feature extraction/inference) and labels are irrelevant.
• File discovery is recursive; supported extensions are defined by :class:NoClassImageDataset.

Example

provider = LocalProviderWithoutClass(data_path=Path("./data/unlabeled")) ds = provider.get_data(transform=SomeTransform()) x, y = ds[0] int(y) 0

Source code in simet/providers/base/provider.py

def __init__(self, data_path: Path) -> None:
    self.data_path = data_path

get_data

get_data(transform)

Return a NoClassImageDataset for self.data_path with transform.

Validates that self.data_path exists before constructing the dataset.

Parameters:

Name	Type	Description	Default
transform	Transform	Project transform wrapper; transform.get_transform() is passed to the underlying dataset.	required

Returns:

Name	Type	Description
VisionDataset	VisionDataset	A dataset yielding (image, 0) pairs (dummy target).

Raises:

Type	Description
FileNotFoundError	If self.data_path does not exist.
RuntimeError	If no images are found under self.data_path (raised by NoClassImageDataset).

Source code in simet/providers/local_provider_no_class.py

@override
def get_data(self, transform: Transform) -> VisionDataset:
    """Return a `NoClassImageDataset` for `self.data_path` with `transform`.

    Validates that `self.data_path` exists before constructing the dataset.

    Args:
        transform: Project transform wrapper; `transform.get_transform()` is
            passed to the underlying dataset.

    Returns:
        VisionDataset: A dataset yielding `(image, 0)` pairs (dummy target).

    Raises:
        FileNotFoundError: If `self.data_path` does not exist.
        RuntimeError: If no images are found under `self.data_path`
            (raised by `NoClassImageDataset`).
    """
    if not self.data_path.exists():
        logger.error(f"The specified path {self.data_path} does not exist.")
        raise FileNotFoundError(
            f"The specified path {self.data_path} does not exist."
        )
    dataset = NoClassImageDataset(
        root=self.data_path, transform=transform.get_transform()
    )
    logger.info(f"Created dataset from {self.data_path}")
    return dataset