Object data structure directly from the SDK. Represents a single object detection. More...
Attributes | |
| int | id |
| Object identification number, used as a reference when tracking the object through the frames. More... | |
| string | uniqueObjectId |
| Unique ID to help identify and track AI detections. Can be either generated externally, or using ZEDCamera.generateUniqueId() or left empty More... | |
| int | rawLabel |
| Object label, forwarded from CustomBoxObjects when using DETECTION_MODEL.CUSTOM_BOX_OBJECTS More... | |
| sl.OBJECT_CLASS | label |
| Object category. Identify the object type. More... | |
| sl.OBJECT_SUBCLASS | sublabel |
| Object subclass. More... | |
| sl.OBJECT_TRACKING_STATE | objectTrackingState |
| Defines the object tracking state. More... | |
| sl.OBJECT_ACTION_STATE | actionState |
| Defines the object action state. More... | |
| float | confidence |
| Defines the detection confidence value of the object. A lower confidence value means the object might not be localized perfectly or the label (OBJECT_CLASS) is uncertain. More... | |
| System.IntPtr | 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... | |
| Vector2[] | boundingBox2D |
| Image data. Note that Y in these values is relative from the top of the image. If using this raw value, subtract Y from the image height to get the height relative to the bottom. More... | |
| Vector3 | position |
| Defines the object 3D centroid. More... | |
| Vector3 | headPosition |
| 3D head centroid. More... | |
| Vector3 | velocity |
| Defines the object 3D velocity. More... | |
| Vector3 | dimensions |
| 3D object dimensions: width, height, length. Defined in InitParameters.UNIT, expressed in RuntimeParameters.measure3DReferenceFrame. More... | |
| Vector3[] | boundingBox |
| The 3D space bounding box. given as array of vertices More... | |
| Vector3[] | headBoundingBox |
| bounds the head with eight 3D points. More... | |
| Vector2[] | keypoints2D |
| A set of useful points representing the human body, expressed in 2D. We use a classic 18 points representation, the points semantic and order is given by BODY_PARTS. More... | |
| Vector3[] | keypoints |
| A set of useful points representing the human body, expressed in 3D. We use a classic 18 points representation, the points semantic and order is given by BODY_PARTS. More... | |
| float[] | positionCovariance |
| Full covariance matrix for position (3x3). Only 6 values are necessary [p0, p1, p2] [p1, p3, p4] [p2, p4, p5] More... | |
| float[] | keypointConfidence |
| Per keypoint detection confidence, can not be lower than the ObjectDetectionRuntimeParameters.detectionConfidenceThreshold. Not available with DETECTION_MODEL.MULTI_CLASS_BOX. in some cases, eg. body partially out of the image or missing depth data, some keypoint can not be detected, they will have non finite values. More... | |
| Vector3[] | localPositionPerJoint |
| Global position per joint in the coordinate frame of the requested skeleton format. More... | |
| Quaternion[] | localOrientationPerJoint |
| Local orientation per joint in the coordinate frame of the requested skeleton format. The orientation is represented by a quaternion. More... | |
| Quaternion | globalRootOrientation |
| Global root position. More... | |
Object data structure directly from the SDK. Represents a single object detection.
| int id |
Object identification number, used as a reference when tracking the object through the frames.
| string uniqueObjectId |
Unique ID to help identify and track AI detections. Can be either generated externally, or using ZEDCamera.generateUniqueId() or left empty
| int rawLabel |
Object label, forwarded from CustomBoxObjects when using DETECTION_MODEL.CUSTOM_BOX_OBJECTS
| sl.OBJECT_CLASS label |
Object category. Identify the object type.
| sl.OBJECT_SUBCLASS sublabel |
Object subclass.
| sl.OBJECT_TRACKING_STATE objectTrackingState |
Defines the object tracking state.
| sl.OBJECT_ACTION_STATE actionState |
Defines the object action state.
| float confidence |
Defines the detection confidence value of the object. A lower confidence value means the object might not be localized perfectly or the label (OBJECT_CLASS) is uncertain.
| System.IntPtr 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).
| Vector2 [] boundingBox2D |
Image data. Note that Y in these values is relative from the top of the image. If using this raw value, subtract Y from the image height to get the height relative to the bottom.
0 ----— 1 | obj | 3-----— 2
| Vector3 position |
Defines the object 3D centroid.
| Vector3 headPosition |
3D head centroid.
| Vector3 velocity |
Defines the object 3D velocity.
| Vector3 dimensions |
3D object dimensions: width, height, length. Defined in InitParameters.UNIT, expressed in RuntimeParameters.measure3DReferenceFrame.
| Vector3 [] boundingBox |
The 3D space bounding box. given as array of vertices
1 ------—2 /| /| 0 |-----—3 | | | | | | 5-----—|-6 |/ |/ 4 ------—7
| Vector3 [] headBoundingBox |
bounds the head with eight 3D points.
| Vector2 [] keypoints2D |
A set of useful points representing the human body, expressed in 2D. We use a classic 18 points representation, the points semantic and order is given by BODY_PARTS.
| Vector3 [] keypoints |
A set of useful points representing the human body, expressed in 3D. We use a classic 18 points representation, the points semantic and order is given by BODY_PARTS.
| float [] positionCovariance |
Full covariance matrix for position (3x3). Only 6 values are necessary [p0, p1, p2] [p1, p3, p4] [p2, p4, p5]
| float [] keypointConfidence |
Per keypoint detection confidence, can not be lower than the ObjectDetectionRuntimeParameters.detectionConfidenceThreshold. Not available with DETECTION_MODEL.MULTI_CLASS_BOX. in some cases, eg. body partially out of the image or missing depth data, some keypoint can not be detected, they will have non finite values.
| Vector3 [] localPositionPerJoint |
Global position per joint in the coordinate frame of the requested skeleton format.
| Quaternion [] localOrientationPerJoint |
Local orientation per joint in the coordinate frame of the requested skeleton format. The orientation is represented by a quaternion.
| Quaternion globalRootOrientation |
Global root position.
