ObjectDetectionRuntimeParameters Class Reference

Sets the object detection runtime parameters. More...

Functions
	ObjectDetectionRuntimeParameters (float detection_confidence_threshold=20.f, std::vector< OBJECT_CLASS > object_class_filter={}, std::map< OBJECT_CLASS, float > object_class_detection_confidence_threshold=std::map< OBJECT_CLASS, float >(), int minimum_keypoints_threshold=0)
	Default constructor. Set all parameters to their default values. More...
bool	operator== (const ObjectDetectionRuntimeParameters &param1) const
bool	operator!= (const ObjectDetectionRuntimeParameters &param1) const

Attributes
float	detection_confidence_threshold
	Defines the confidence threshold: interval between 1 and 99. A confidence of 1 meaning a low threshold, more uncertain objects and 99 very few but very precise objects. If the scene contains a lot of objects, increasing the confidence can slightly speed up the process, since every object instances are tracked. More...
std::vector< OBJECT_CLASS >	object_class_filter
	Select which object types to detect and track. By default all classes are tracked. Fewer object types can slightly speed up the process, since every objects are tracked. Only the selected classes in the vector will be output. More...
std::map< OBJECT_CLASS, float >	object_class_detection_confidence_threshold
	Defines a detection threshold for each classes, can be empty for some classes, ObjectDetectionRuntimeParameters::detection_confidence_threshold will be taken as fallback/default value. More...
int	minimum_keypoints_threshold
	Defines the minimum keypoints threshold. the SDK will outputs skeleton with more keypoints than this threshold. it is useful for example to remove unstable fitting results when a skeleton is partially occluded. More...

Detailed Description

Sets the object detection runtime parameters.

The default constructor sets all parameters to their default settings.

Note

Parameters can be user adjusted.

Constructor and Destructor

ObjectDetectionRuntimeParameters()

ObjectDetectionRuntimeParameters	(	float	detection_confidence_threshold = 20.f,
		std::vector< OBJECT_CLASS >	object_class_filter = {},
		std::map< OBJECT_CLASS, float >	object_class_detection_confidence_threshold = std::map< OBJECT_CLASS, float >(),
		int	minimum_keypoints_threshold = 0
	)

Default constructor. Set all parameters to their default values.

Functions

operator==()

bool operator==

(

const ObjectDetectionRuntimeParameters &

param1

)

const

Comparison operator ==

Parameters

ObjectDetectionRuntimeParameters

to compare

Returns

true if the two struct are identical

operator!=()

bool operator!=

(

const ObjectDetectionRuntimeParameters &

param1

)

const

Comparison operator !=

Parameters

ObjectDetectionRuntimeParameters

to compare

Returns

true if the two struct are different

Variables

detection_confidence_threshold

float detection_confidence_threshold

Defines the confidence threshold: interval between 1 and 99. A confidence of 1 meaning a low threshold, more uncertain objects and 99 very few but very precise objects. If the scene contains a lot of objects, increasing the confidence can slightly speed up the process, since every object instances are tracked.

Default confidence threshold value, used as a fallback when ObjectDetectionRuntimeParameters::object_class_detection_confidence_threshold is partially set

object_class_filter

std::vector<OBJECT_CLASS> object_class_filter

Select which object types to detect and track. By default all classes are tracked. Fewer object types can slightly speed up the process, since every objects are tracked. Only the selected classes in the vector will be output.

In order to get all the available classes, the filter vector must be empty :

object_class_filter = {};

To select a set of specific object classes, like vehicles, persons and animals for instance:

object_class_filter = {OBJECT_CLASS::VEHICLE, OBJECT_CLASS::PERSON, OBJECT_CLASS::ANIMAL};

object_class_detection_confidence_threshold

std::map<OBJECT_CLASS, float> object_class_detection_confidence_threshold

Defines a detection threshold for each classes, can be empty for some classes, ObjectDetectionRuntimeParameters::detection_confidence_threshold will be taken as fallback/default value.

minimum_keypoints_threshold

int minimum_keypoints_threshold

Defines the minimum keypoints threshold. the SDK will outputs skeleton with more keypoints than this threshold. it is useful for example to remove unstable fitting results when a skeleton is partially occluded.