Class DecodeMaskRCNN

Object
AnchorBean<DecodeInstanceSegmentation<ai.onnxruntime.OnnxTensor>>
DecodeInstanceSegmentation<ai.onnxruntime.OnnxTensor>
DecodeMaskRCNN

public class DecodeMaskRCNN extends DecodeInstanceSegmentation<ai.onnxruntime.OnnxTensor>
Decodes the inference output from a Mask-RCNN implementation.

It is designed to work with accompanying MaskRCNN-10.onnx in resources, which expects an image of size 1088x800 (width x height) and may throw an error if the input-size is different than this.

The ONNX file was obtained from this GitHub source, which also describes its inputs and outputs.

This issue may also be relevant: it mentions an error message that occurs when a different sized input to the above is used.

Author:
Owen Feehan
  • Constructor Summary

    Constructors
    Constructor
    Description
     
  • Method Summary

    Modifier and Type
    Method
    Description
    List<LabelledWithConfidence<MultiScaleObject>>
    decode(List<ai.onnxruntime.OnnxTensor> inferenceOutput, ImageInferenceContext context)
     
     
    Interpolator
    The interpolator to use for scaling images.
    float
    Only proposals outputted from the model with a score greater or equal to this threshold are considered.
    float
    Only voxels with a value greater or equal to this threshold are considered as part of the mask.
    void
    setInterpolator(Interpolator interpolator)
    The interpolator to use for scaling images.
    void
    setMinConfidence(float minConfidence)
    Only proposals outputted from the model with a score greater or equal to this threshold are considered.
    void
    setMinMaskValue(float minMaskValue)
    Only voxels with a value greater or equal to this threshold are considered as part of the mask.

    Methods inherited from class org.anchoranalysis.bean.AnchorBean

    checkMisconfigured, describeBean, describeChildren, duplicateBean, fields, findFieldsOfClass, getBeanName, getLocalPath, localise, toString

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
  • Constructor Details

    • DecodeMaskRCNN

      public DecodeMaskRCNN()
  • Method Details

    • expectedOutputs

      public List<String> expectedOutputs()
      Specified by:
      expectedOutputs in class DecodeInstanceSegmentation<ai.onnxruntime.OnnxTensor>
    • decode

      public List<LabelledWithConfidence<MultiScaleObject>> decode(List<ai.onnxruntime.OnnxTensor> inferenceOutput, ImageInferenceContext context) throws OperationFailedException
      Specified by:
      decode in class DecodeInstanceSegmentation<ai.onnxruntime.OnnxTensor>
      Throws:
      OperationFailedException
    • getMinConfidence

      public float getMinConfidence()
      Only proposals outputted from the model with a score greater or equal to this threshold are considered.
    • setMinConfidence

      public void setMinConfidence(float minConfidence)
      Only proposals outputted from the model with a score greater or equal to this threshold are considered.
    • getMinMaskValue

      public float getMinMaskValue()
      Only voxels with a value greater or equal to this threshold are considered as part of the mask.
    • setMinMaskValue

      public void setMinMaskValue(float minMaskValue)
      Only voxels with a value greater or equal to this threshold are considered as part of the mask.
    • getInterpolator

      public Interpolator getInterpolator()
      The interpolator to use for scaling images.
    • setInterpolator

      public void setInterpolator(Interpolator interpolator)
      The interpolator to use for scaling images.