Label

class deeptrack.features.Label(output_shape: int | Callable[[...], int] | None = None, **kwargs: Dict[str, Any])

Bases: Feature

Output the properties of this feature.

This feature can be used to extract properties in a feature set and combine them into a numpy array. Specifically, it extracts specified properties from a feature set and combines them into a NumPy array. Optionally, the output array can be reshaped to a specified shape.

Parameters

output_shapeOptional[PropertyLike[Tuple[int, …]]], optional

Specifies the desired shape of the output array. If None, the output array will be one-dimensional.

**kwargsDict[str, Any]

Additional keyword arguments passed to the parent Feature class.

Methods

get(image, output_shape=None, **kwargs)

Extracts and combines properties into a NumPy array, reshaping it if output_shape is specified.

Methods Summary

get(image[, output_shape])

Extract and combine properties into a NumPy array.

Methods Documentation

get(image: Any, output_shape: Tuple[int, ...] | None = None, **kwargs: Dict[str, Any]) → ndarray

Extract and combine properties into a NumPy array.

Parameters

imageAny

The input image (not used in this feature).

output_shapeTuple[int, …], optional

Specifies the desired shape of the output array. If None, the output array will be one-dimensional.

**kwargsDict[str, Any]

Additional properties passed to the feature.

Returns

np.ndarray

The extracted properties combined into a NumPy array. If output_shape is specified, the array is reshaped accordingly.