Class DecodeMaskRCNN
Object
org.anchoranalysis.bean.AnchorBean<org.anchoranalysis.image.inference.bean.segment.instance.DecodeInstanceSegmentation<T>>
org.anchoranalysis.image.inference.bean.segment.instance.DecodeInstanceSegmentation<ai.onnxruntime.OnnxTensor>
org.anchoranalysis.plugin.onnx.bean.object.segment.decode.instance.maskrcnn.DecodeMaskRCNN
public class DecodeMaskRCNN
extends org.anchoranalysis.image.inference.bean.segment.instance.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
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Constructor Summary
Constructors Constructor Description DecodeMaskRCNN() -
Method Summary
Modifier and Type Method Description List<org.anchoranalysis.image.inference.segment.LabelledWithConfidence<org.anchoranalysis.image.inference.segment.MultiScaleObject>>decode(List<ai.onnxruntime.OnnxTensor> inferenceOutput, org.anchoranalysis.image.inference.ImageInferenceContext context)List<String>expectedOutputs()org.anchoranalysis.image.bean.interpolator.InterpolatorgetInterpolator()The interpolator to use for scaling images.floatgetMinConfidence()Only proposals outputted from the model with a score greater or equal to this threshold are considered.floatgetMinMaskValue()Only voxels with a value greater or equal to this threshold are considered as part of the mask.voidsetInterpolator(org.anchoranalysis.image.bean.interpolator.Interpolator interpolator)The interpolator to use for scaling images.voidsetMinConfidence(float minConfidence)Only proposals outputted from the model with a score greater or equal to this threshold are considered.voidsetMinMaskValue(float minMaskValue)Only voxels with a value greater or equal to this threshold are considered as part of the mask.
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Constructor Details
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DecodeMaskRCNN
public DecodeMaskRCNN()
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Method Details
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expectedOutputs
- Specified by:
expectedOutputsin classorg.anchoranalysis.image.inference.bean.segment.instance.DecodeInstanceSegmentation<ai.onnxruntime.OnnxTensor>
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decode
public List<org.anchoranalysis.image.inference.segment.LabelledWithConfidence<org.anchoranalysis.image.inference.segment.MultiScaleObject>> decode(List<ai.onnxruntime.OnnxTensor> inferenceOutput, org.anchoranalysis.image.inference.ImageInferenceContext context) throws org.anchoranalysis.core.exception.OperationFailedException- Specified by:
decodein classorg.anchoranalysis.image.inference.bean.segment.instance.DecodeInstanceSegmentation<ai.onnxruntime.OnnxTensor>- Throws:
org.anchoranalysis.core.exception.OperationFailedException
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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 org.anchoranalysis.image.bean.interpolator.Interpolator getInterpolator()The interpolator to use for scaling images. -
setInterpolator
public void setInterpolator(org.anchoranalysis.image.bean.interpolator.Interpolator interpolator)The interpolator to use for scaling images.
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