Sets the object detection parameters. More...
Functions | |
| def | __cinit__ (self, image_sync=True, enable_tracking=True, enable_mask_output=True, detection_model=DETECTION_MODEL.MULTI_CLASS_BOX, enable_body_fitting=False, max_range=-1.0, batch_trajectories_parameters=BatchParameters(), body_format=BODY_FORMAT.POSE_18, filtering_mode=OBJECT_FILTERING_MODE.NMS3D, prediction_timeout_s=0.2, allow_reduced_precision_inference=False) |
| Constructor. More... | |
| def | image_sync (self) |
| Defines if the object detection is synchronized to the image or runs in a separate thread. | |
| def | enable_tracking (self) |
| Defines if the object detection will track objects across images flow. | |
| def | enable_mask_output (self) |
| Defines if the mask object will be computed. | |
| def | detection_model (self) |
| Enable human pose estimation with skeleton keypoints output. | |
| def | body_format (self) |
| Defines the body format output by the SDK when retrieve_objects is called. More... | |
| def | enable_body_fitting (self) |
| Defines if the body fitting will be applied. | |
| def | max_range (self) |
| Defines an upper depth range for detections Defined in InitParameters.coordinate_units Default value is set to InitParameters.depth_maximum_distance (can not be higher) | |
| def | batch_parameters (self) |
| Batching system (introduced in 3.5) performs short-term re-identification with deep learning and trajectories filtering. More... | |
| def | filtering_mode (self) |
| Filtering mode for MULTI_CLASS_BOX and Custom objects tracking. | |
| def | prediction_timeout_s (self) |
| When an object is not detected anymore, the SDK will predict its positions during a short period of time before its state switched to SEARCHING. | |
| def | allow_reduced_precision_inference (self) |
| Allow inference to run at a lower precision to improve runtime and memory usage, it might increase the initial optimization time and could include downloading calibration data or calibration cache and slightly reduce the accuracy. | |
Sets the object detection parameters.
The default constructor sets all parameters to their default settings.
| def __cinit__ | ( | self, | |
image_sync = True, |
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enable_tracking = True, |
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enable_mask_output = True, |
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detection_model = DETECTION_MODEL.MULTI_CLASS_BOX, |
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enable_body_fitting = False, |
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max_range = -1.0, |
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batch_trajectories_parameters = BatchParameters(), |
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body_format = BODY_FORMAT.POSE_18, |
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filtering_mode = OBJECT_FILTERING_MODE.NMS3D, |
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prediction_timeout_s = 0.2, |
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allow_reduced_precision_inference = False |
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| ) |
Constructor.
Calling the constructor without any parameter will set them to their default values.
| image_sync | : sets image_sync. Default: True |
| enable_tracking | : sets enable_tracking. Default: True |
| enable_mask_output | : sets enable_mask_output. Default: True |
| enable_body_fitting | : sets enable_body_fitting. Default: False |
| max_range | : sets max_range. Default: -1.0 (set to InitParameters.depth_maximum_distance) |
| batch_trajectories_parameters | : sets batch_parameters. Default: see BatchParameters default constructor |
| body_format | : sets body_format. Default: sl.BODY_FORMAT.POSE_18 |
| def body_format | ( | self | ) |
Defines the body format output by the SDK when retrieve_objects is called.
| def batch_parameters | ( | self | ) |
Batching system (introduced in 3.5) performs short-term re-identification with deep learning and trajectories filtering.
BatchParameters.enable needs to be set to True to use this feature (by default, it is disabled)
