cv.Dataset - mexopencv

Class for working with different datasets

The datasets module includes classes for working with different datasets: load data, evaluate different algorithms on them, contains benchmarks, etc.

It is planned to have:

basic: loading code for all datasets to help start work with them.
next stage: quick benchmarks for all datasets to show how to solve them using OpenCV and implement evaluation code.
finally: implement on OpenCV state-of-the-art algorithms, which solve these tasks.

Includes classes from the following categories:

id	Object ID
klass	Object class

	addlistener	Add listener for event.
Static	createDirectory	Create directory
	delete	Destructor
	eq	== (EQ) Test handle equality.
	findobj	Find objects matching specified conditions.
	findprop	Find property of MATLAB handle object.
	ge	>= (GE) Greater than or equal relation for handles.
Static	getDirList	Get directory listing
	getNumSplits	Get Number of data splits
	getTest	Get testing data
	getTrain	Get training data
	getValidation	Get validation data
	gt	> (GT) Greater than relation for handles.
Sealed	isvalid	Test handle validity.
	le	<= (LE) Less than or equal relation for handles.
	listener	Add listener for event without binding the listener to the source object.
	load	Load dataset
	lt	< (LT) Less than relation for handles.
	ne	~= (NE) Not equal relation for handles.
	notify	Notify listeners of event.
Static	split	Split string by delimiter
	typeid	Name of the C++ type (RTTI)