Container to store the externally detected objects. More...
Functions | |
| def | unique_object_id (self) |
| Unique ID to help identify and track AI detections. More... | |
| def | bounding_box_2d (self) |
| 2D bounding box of the object represented as four 2D points starting at the top left corner and rotation clockwise. More... | |
| def | label (self) |
| Object label, this information is passed-through and can be used to improve object tracking. | |
| def | probability (self) |
| Detection confidence. More... | |
| def | is_grounded (self) |
| Provides hypothesis about the object movements (degrees of freedom) to improve the object tracking True: means 2 DoF projected alongside the floor plane, It is the default for objects standing on the ground such as person, vehicle, etc False: 6 DoF full 3D movements are allowed. | |
Container to store the externally detected objects.
The objects can be ingested using sl.Camera.ingest_custom_box_objects() functions to extract 3D information and tracking over time
| def unique_object_id | ( | self | ) |
Unique ID to help identify and track AI detections.
Can be either generated externally, or using generate_unique_id() or left empty
| def bounding_box_2d | ( | self | ) |
2D bounding box of the object represented as four 2D points starting at the top left corner and rotation clockwise.
Expressed in pixels on the original image resolution, where [0,0] is the top left corner.
| def probability | ( | self | ) |
Detection confidence.
Should be [0-1]. It can be used to improve the object tracking
