Data Fields
char	unique_object_id [37]
	Unique id to help identify and track AI detections. More...

struct SL_Vector2	bounding_box_2d [4]
	2D bounding box of the object represented as four 2D points starting at the top left corner and rotation clockwise. More...

int	label
	Object label. More...

float	probability
	Detection confidence value of the object. More...

bool	is_grounded
	Provide hypothesis about the object movements (degrees of freedom or DoF) to improve the object tracking. More...

bool	is_static
	Provide hypothesis about the object staticity to improve the object tracking. More...

float	tracking_timeout
	Maximum tracking time threshold (in seconds) before dropping the tracked object when unseen for this amount of time. By default, let the tracker decide internally based on the internal sub class of the tracked object. Only valid for static object.

float	tracking_max_dist
	Maximum tracking distance threshold (in meters) before dropping the tracked object when unseen for this amount of meters. By default, do not discard tracked object based on distance. Only valid for static object.

unsigned char *	box_mask
	2D mask of the object inside its bounding box.

Field Documentation

◆ unique_object_id

char SL_CustomMaskObjectData::unique_object_id[37]

Unique id to help identify and track AI detections.

It can be either generated externally, or by using sl_generate_unique_id() or left empty.

struct SL_Vector2 SL_CustomMaskObjectData::bounding_box_2d[4]

2D bounding box of the object represented as four 2D points starting at the top left corner and rotation clockwise.

Note: Expressed in pixels on the original image resolution, [0, 0] is the top left corner.
A ------ B

| Object |

D ------ C

int SL_CustomMaskObjectData::label

Object label.

This information is passed-through and can be used to improve object tracking.

Note: It should define an object class. This means that any similar object (in classification) should share the same label number.

float SL_CustomMaskObjectData::probability

Detection confidence value of the object.

Note: The value should be in [0-1].; It can be used to improve the object tracking.

bool SL_CustomMaskObjectData::is_grounded

Provide hypothesis about the object movements (degrees of freedom or DoF) to improve the object tracking.

true: 2 DoF projected alongside the floor plane. Case for object standing on the ground such as person, vehicle, etc.
The projection implies that the objects cannot be superposed on multiple horizontal levels.
false: 6 DoF (full 3D movements are allowed).

Note: This parameter cannot be changed for a given object tracking id.; It is advised to set it by labels to avoid issues.

bool SL_CustomMaskObjectData::is_static

Provide hypothesis about the object staticity to improve the object tracking.