ObjectDetectionParameters Class Reference

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)
 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...
 

Detailed Description

Sets the object detection parameters.

The default constructor sets all parameters to their default settings.

Note
Parameters can be user adjusted.

Functions

◆ __cinit__()

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 
)

Constructor.

Calling the constructor without any parameter will set them to their default values.

Parameters
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

◆ body_format()

def body_format (   self)

Defines the body format output by the SDK when retrieve_objects is called.

Warning
if set to sl.BODY_FORMAT.POSE_32, the ZED SDK will automatically enable the fitting (cf. enable_body_fitting).

◆ batch_parameters()

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)