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. | |
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. | |
float | max_box_width_meters |
Maximum allowed 3D width. More... | |
float | min_box_width_meters |
Minimum allowed 3D width. More... | |
float | max_box_height_meters |
Maximum allowed 3D height. More... | |
float | min_box_height_meters |
Minimum allowed 3D height. More... | |
float | max_allowed_acceleration |
Manually override the acceleration preset. If set, this value takes precedence over the selected preset, allowing for a custom maximum acceleration. Takes precedence over the runtime parameter, if also set. Unit is m/s^2. Defaults: NaN. | |
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.
[0, 0]
is the top left corner. int SL_CustomMaskObjectData::label |
Object label.
This information is passed-through and can be used to improve object tracking.
float SL_CustomMaskObjectData::probability |
Detection confidence value of the object.
[0-1]
. bool SL_CustomMaskObjectData::is_grounded |
Provide hypothesis about the object movements (degrees of freedom or DoF) to improve the object tracking.
bool SL_CustomMaskObjectData::is_static |
Provide hypothesis about the object staticity to improve the object tracking.
float SL_CustomMaskObjectData::max_box_width_meters |
Maximum allowed 3D width.
Any prediction bigger than that will be either discarded (if object is tracked and in SEARCHING state) or clamped. Default: -1 (no filtering)
float SL_CustomMaskObjectData::min_box_width_meters |
Minimum allowed 3D width.
Any prediction smaller than that will be either discarded (if object is tracked and in SEARCHING state) or clamped. Default: -1 (no filtering)
float SL_CustomMaskObjectData::max_box_height_meters |
Maximum allowed 3D height.
Any prediction bigger than that will be either discarded (if object is tracked and in SEARCHING state) or clamped. Default: -1 (no filtering)
float SL_CustomMaskObjectData::min_box_height_meters |
Minimum allowed 3D height.
Any prediction smaller than that will be either discarded (if object is tracked and in SEARCHING state) or clamped. Default: -1 (no filtering)