Sets the object detection parameters. More...
Attributes | |
bool | imageSync |
Defines if the object detection is synchronized to the image or runs in a separate thread. More... | |
bool | enableObjectTracking |
Defines if the object detection will track objects across multiple images, instead of an image-by-image basis. More... | |
bool | enable2DMask |
Defines if the SDK will calculate 2D masks for each object. Requires more performance, so don't enable if you don't need these masks. More... | |
sl.DETECTION_MODEL | detectionModel |
Defines the AI model used for detection More... | |
bool | enableBodyFitting |
Defines if the body fitting will be applied. More... | |
sl.BODY_FORMAT | bodyFormat |
Body Format. BODY_FORMAT.POSE_34 automatically enables body fitting. More... | |
float | maxRange |
Defines a upper depth range for detections. Defined in UNIT set at sl.Camera.Open. Default value is set to sl.Initparameters.depthMaximumDistance (can not be higher). More... | |
BatchParameters | batchParameters |
Batching system parameters. Batching system(introduced in 3.5) performs short-term re-identification with deep learning and trajectories filtering. BatchParameters.enable need to be true to use this feature (by default disabled) More... | |
OBJECT_FILTERING_MODE | filteringMode |
Defines the filtering mode that should be applied to raw detections. More... | |
float | predictionTimeout_s |
When an object is not detected anymore, the SDK will predict its positions during a short period of time before switching its state to SEARCHING. It prevents the jittering of the object state when there is a short misdetection.The user can define its own prediction time duration. During this time, the object will have OK state even if it is not detected. The duration is expressed in seconds. The prediction_timeout_s will be clamped to 1 second as the prediction is getting worst with time. Set this parameter to 0 to disable SDK predictions. More... | |
Sets the object detection parameters.
bool imageSync |
Defines if the object detection is synchronized to the image or runs in a separate thread.
bool enableObjectTracking |
Defines if the object detection will track objects across multiple images, instead of an image-by-image basis.
bool enable2DMask |
Defines if the SDK will calculate 2D masks for each object. Requires more performance, so don't enable if you don't need these masks.
sl.DETECTION_MODEL detectionModel |
Defines the AI model used for detection
bool enableBodyFitting |
Defines if the body fitting will be applied.
sl.BODY_FORMAT bodyFormat |
Body Format. BODY_FORMAT.POSE_34 automatically enables body fitting.
float maxRange |
Defines a upper depth range for detections. Defined in UNIT set at sl.Camera.Open. Default value is set to sl.Initparameters.depthMaximumDistance (can not be higher).
BatchParameters batchParameters |
Batching system parameters. Batching system(introduced in 3.5) performs short-term re-identification with deep learning and trajectories filtering. BatchParameters.enable need to be true to use this feature (by default disabled)
OBJECT_FILTERING_MODE filteringMode |
Defines the filtering mode that should be applied to raw detections.
float predictionTimeout_s |
When an object is not detected anymore, the SDK will predict its positions during a short period of time before switching its state to SEARCHING. It prevents the jittering of the object state when there is a short misdetection.The user can define its own prediction time duration. During this time, the object will have OK state even if it is not detected. The duration is expressed in seconds. The prediction_timeout_s will be clamped to 1 second as the prediction is getting worst with time. Set this parameter to 0 to disable SDK predictions.