Class PredictPoseIdentities
Represents an operator that performs markerless multi-pose and identity estimation for each image in the sequence using a SLEAP model.
PredictPoseIdentities evaluates the full SLEAP model network. In addition to extracting pose information for each detected instance in the image, it also returns the inferred identity of the object, i.e. it performs inference on the top-down-id-model network.
In addition to the properties of the Pose object, the extended PoseIdentity class adds Identity property that indicates the highest confidence identity. This will match one of the class labels found in training_config.json. The IdentityScores property indicates the confidence values for all class labels.
Since we are very often only interested in the instance with the highest identification confidence we have added the operator GetMaximumConfidencePoseIdentity which returns the PoseIdentity with the highest confidence from the input PoseIdentityCollection. Moreover, by specifying a value in the optional Identity property, the operator will return the instance will the highest confidence for that particular class.
public class PredictPoseIdentities : Transform<IplImage, PoseIdentityCollection>- Inheritance
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PredictPoseIdentities
- Inherited Members
Properties
- CentroidMinConfidence
Gets or sets a value specifying the confidence threshold used to discard centroid predictions. If no value is specified, all estimated centroid positions are returned.
- ColorConversion
Gets or sets a value specifying the optional color conversion used to prepare RGB video frames for inference. If no value is specified, no color conversion is performed.
- IdentityMinConfidence
Gets or sets a value specifying the confidence threshold used to assign an identity class. If no value is specified, the identity with highest confidence will be assigned to each pose.
- ModelFileName
Gets or sets a value specifying the path to the exported Protocol Buffer file containing the pretrained SLEAP model.
- PartMinConfidence
Gets or sets a value specifying the confidence threshold used to discard predicted body part positions. If no value is specified, all estimated positions are returned.
- ScaleFactor
Gets or sets a value specifying the scale factor used to resize video frames for inference. If no value is specified, no resizing is performed.
- TrainingConfig
Gets or sets a value specifying the path to the configuration JSON file containing training metadata.
Methods
- Process(IObservable<IplImage>)
Performs markerless multi-pose and identity estimation for each image in an observable sequence using a SLEAP model.