Class PredictCentroids
Represents an operator that performs multi-instance centroid detection for each image in the sequence using a SLEAP model.
PredictCentroids implements the centroid network. This model is most commonly used to find a set of candidate centroids from a full-resolution image. For each frame, it will return a CentroidCollection which can be further indexed to access the individual instances.
As an example application, the output of this operator is also fully compatible with the CropCenter transform node, which can be used to easily generate smaller crops centered on the detected centroid instance (i.e. Centroid)
public class PredictCentroids : Transform<IplImage, CentroidCollection>- Inheritance
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PredictCentroids
- 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.
- ModelFileName
Gets or sets a value specifying the path to the exported Protocol Buffer file containing the pretrained SLEAP model.
- 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 multi-instance centroid detection for each image in an observable sequence using a SLEAP model.