Data Structures

Data structures used in machine learning workflows, in particular DataItem and its elements DataElements. More...

Collaboration diagram for Data Structures:

Detailed Description

Data structures used in machine learning workflows, in particular DataItem and its elements DataElements.

DataElement is the interface for the classes representing the different kinds of data (image, keypoints, etc.) that can be held by a DataItem, meaning that they can be used in Data Pipelines.

Classes
class	BoundingBoxSet
	Class for managing sets of bounding boxes within a BoundingBoxElement The class is meant to be used in parallel with SharedImageSet. More...
class	DataElement
	Main interface for data elements used for wrapping other ImFusion types and use them in a machine learning specific workflow. More...
class	DataItem
	Class for holding a map of heterogeneous DataElements, see DataElement. More...
class	KeypointSet
	Class for managing sets of keypoints within a KeypointsElement The class is meant to be used in parallel with SharedImageSet. More...
class	BoundingBoxElement
	DataElement based on BoundingBoxSet. More...
class	ImageElement
	DataElement for 2D and 3D images. More...
class	KeypointsElement
	DataElement based on KeypointSet. More...
class	SISBasedElement
	Interface for DataElement based on SharedImageSet. More...
class	TensorSetElement
	DataElements for Raw Tensors (Experimental) Unlike ImageElements, these elements will go into the ML engine in the shape that they are created (i.e. More...
class	VectorElement
	DataElement for non-image data (such as imagewise labels), represented as 1D images (i.e. More...