Contains data of a detected object such as its bounding_box, label, id and its 3D position.
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| int | id |
| | Object identification number, used as a reference when tracking the object through the frames. More...
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| String | unique_object_id |
| | Unique ID to help identify and track AI detections. Can be either generated externally, or using generate_unique_id() or left empty. More...
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| int | raw_label = 0 |
| | Object label, forwarded from CustomBoxObjectData when using OBJECT_DETECTION_MODEL::CUSTOM_BOX_OBJECTS. More...
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| OBJECT_CLASS | label |
| | Object category. Identify the object type. More...
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| OBJECT_SUBCLASS | sublabel |
| | Object subclass. More...
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| OBJECT_TRACKING_STATE | tracking_state |
| | Defines the object tracking state. More...
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| OBJECT_ACTION_STATE | action_state |
| | Defines the object action state. More...
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| sl::float3 | position |
| | Defines the object 3D centroid. Defined in sl:InitParameters::UNIT, expressed in RuntimeParameters::measure3D_reference_frame. More...
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| sl::float3 | velocity |
| | Defines the object 3D velocity Defined in sl:InitParameters::UNIT / seconds, expressed in RuntimeParameters::measure3D_reference_frame. More...
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| float | position_covariance [6] |
| | the covariance matrix of the 3d position, represented by its upper triangular matrix value More...
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| std::vector< sl::uint2 > | bounding_box_2d |
| | 2D bounding box of the person represented as four 2D points starting at the top left corner and rotation clockwise. Expressed in pixels on the original image resolution, [0,0] is the top left corner. More...
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| sl::Mat | mask |
| | Defines for the bounding_box_2d the pixels which really belong to the object (set to 255) and those of the background (set to 0). More...
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| float | confidence |
| | Defines the detection confidence value of the object. From 0 to 100, a low value means the object might not be localized perfectly or the label (OBJECT_CLASS) is uncertain. More...
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| std::vector< sl::float3 > | bounding_box |
| | 3D bounding box of the person represented as eight 3D points Defined in sl:InitParameters::UNIT, expressed in RuntimeParameters::measure3D_reference_frame. More...
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| sl::float3 | dimensions |
| | 3D object dimensions: width, height, length Defined in sl:InitParameters::UNIT, expressed in RuntimeParameters::measure3D_reference_frame. More...
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| std::vector< sl::uint2 > | head_bounding_box_2d |
| | bounds the head with four 2D points. Expressed in pixels on the original image resolution. More...
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| std::vector< sl::float3 > | head_bounding_box |
| | bounds the head with eight 3D points. Defined in sl:InitParameters::UNIT, expressed in RuntimeParameters::measure3D_reference_frame. More...
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| sl::float3 | head_position |
| | 3D head centroid. Defined in sl:InitParameters::UNIT, expressed in RuntimeParameters::measure3D_reference_frame. More...
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Contains data of a detected object such as its bounding_box, label, id and its 3D position.
◆ ObjectData()
◆ ~ObjectData()
◆ id
◆ unique_object_id
Unique ID to help identify and track AI detections. Can be either generated externally, or using generate_unique_id() or left empty.
◆ raw_label
◆ label
Object category. Identify the object type.
◆ sublabel
◆ tracking_state
Defines the object tracking state.
◆ action_state
Defines the object action state.
◆ position
◆ velocity
◆ position_covariance
| float position_covariance[6] |
the covariance matrix of the 3d position, represented by its upper triangular matrix value
= [p0, p1, p2]
[p1, p3, p4]
[p2, p4, p5]
where pi is position_covariance[i]
◆ bounding_box_2d
2D bounding box of the person represented as four 2D points starting at the top left corner and rotation clockwise. Expressed in pixels on the original image resolution, [0,0] is the top left corner.
A ------ B
| Object |
D ------ C
◆ mask
Defines for the bounding_box_2d the pixels which really belong to the object (set to 255) and those of the background (set to 0).
- Warning
- : The mask information is only available for tracked objects ( OBJECT_TRACKING_STATE::OK) that have a valid depth. Otherwise, Mat will not be initialized (mask.isInit() == false)
◆ confidence
Defines the detection confidence value of the object. From 0 to 100, a low value means the object might not be localized perfectly or the label (OBJECT_CLASS) is uncertain.
◆ bounding_box
◆ dimensions
◆ head_bounding_box_2d
bounds the head with four 2D points. Expressed in pixels on the original image resolution.
- Note
- Not available with DETECTION_MODEL::MULTI_CLASS_BOX.
◆ head_bounding_box
◆ head_position
