si4onnx

• si4onnx package
  • Submodules
  • si4onnx.data module
    • SyntheticDataset
      • SyntheticDataset.data
      • SyntheticDataset.masks
      • SyntheticDataset.labels
    • generate_iid_data()
  • si4onnx.hypothesis module
    • BackMeanDiff
      • BackMeanDiff.algorithm()
      • BackMeanDiff.construct_hypothesis()
      • BackMeanDiff.model_selector()
    • Hypothesis
      • Hypothesis.algorithm()
      • Hypothesis.construct_hypothesis()
      • Hypothesis.model_selector()
    • NeighborMeanDiff
      • NeighborMeanDiff.algorithm()
      • NeighborMeanDiff.construct_hypothesis()
      • NeighborMeanDiff.model_selector()
    • NoHypothesisError
    • PresetHypothesis
    • ReferenceMeanDiff
      • ReferenceMeanDiff.algorithm()
      • ReferenceMeanDiff.construct_hypothesis()
      • ReferenceMeanDiff.model_selector()
    • check_use_sigmoid()
  • si4onnx.layers module
    • Add
      • Add.forward()
      • Add.forward_si()
    • AveragePool
      • AveragePool.forward()
      • AveragePool.forward_si()
    • BatchNormalization
      • BatchNormalization.forward()
      • BatchNormalization.forward_si()
    • Concat
      • Concat.forward()
      • Concat.forward_si()
    • Constant
      • Constant.forward()
      • Constant.forward_si()
    • ConstantOfShape
      • ConstantOfShape.forward()
      • ConstantOfShape.forward_si()
    • Conv
      • Conv.forward()
      • Conv.forward_si()
    • ConvTranspose
      • ConvTranspose.forward()
      • ConvTranspose.forward_si()
    • Div
      • Div.forward()
      • Div.forward_si()
    • Equal
      • Equal.forward()
      • Equal.forward_si()
    • Exp
      • Exp.forward()
      • Exp.forward_si()
    • EyeLike
      • EyeLike.forward()
      • EyeLike.forward_si()
    • Flatten
      • Flatten.forward()
      • Flatten.forward_si()
    • Gemm
      • Gemm.forward()
      • Gemm.forward_si()
    • GlobalAveragePool
      • GlobalAveragePool.forward()
      • GlobalAveragePool.forward_si()
    • Greater
      • Greater.forward()
      • Greater.forward_si()
    • Layer
      • Layer.forward()
      • Layer.forward_si()
    • LeakyRelu
      • LeakyRelu.forward()
      • LeakyRelu.forward_si()
    • MatMul
      • MatMul.forward()
      • MatMul.forward_si()
    • MaxPool
      • MaxPool.forward()
      • MaxPool.forward_si()
    • Mul
      • Mul.forward()
      • Mul.forward_si()
    • RandomNormalLike
      • RandomNormalLike.forward()
      • RandomNormalLike.forward_si()
    • Reciprocal
      • Reciprocal.forward()
      • Reciprocal.forward_si()
    • ReduceSum
      • ReduceSum.forward()
      • ReduceSum.forward_si()
    • Relu
      • Relu.forward()
      • Relu.forward_si()
    • Reshape
      • Reshape.forward()
      • Reshape.forward_si()
    • Resize
      • Resize.forward()
      • Resize.forward_si()
    • Shape
      • Shape.forward()
      • Shape.forward_si()
    • Sigmoid
      • Sigmoid.forward()
      • Sigmoid.forward_si()
    • Slice
      • Slice.forward()
      • Slice.forward_si()
    • Split
      • Split.forward()
      • Split.forward_si()
    • Squeeze
      • Squeeze.forward()
      • Squeeze.forward_si()
    • Sub
      • Sub.forward()
      • Sub.forward_si()
    • Transpose
      • Transpose.forward()
      • Transpose.forward_si()
    • Unsqueeze
      • Unsqueeze.forward()
      • Unsqueeze.forward_si()
  • si4onnx.nn module
    • NN
      • NN.forward()
      • NN.forward_si()
  • si4onnx.operators module
    • Abs
      • Abs.forward()
      • Abs.forward_si()
    • AverageFilter
      • AverageFilter.forward()
      • AverageFilter.forward_si()
    • GaussianFilter
      • GaussianFilter.forward()
      • GaussianFilter.forward_si()
    • InputDiff
      • InputDiff.forward()
      • InputDiff.forward_si()
    • Neg
      • Neg.forward()
      • Neg.forward_si()
    • Operator
      • Operator.forward()
      • Operator.forward_si()
  • si4onnx.si module
    • InferenceResult
      • InferenceResult.output
      • InferenceResult.score_map
      • InferenceResult.roi
      • InferenceResult.non_roi
      • InferenceResult.non_roi
      • InferenceResult.output
      • InferenceResult.roi
      • InferenceResult.score_map
    • PresetSelectiveInferenceModel
      • PresetSelectiveInferenceModel.algorithm()
      • PresetSelectiveInferenceModel.construct_hypothesis()
      • PresetSelectiveInferenceModel.inference()
      • PresetSelectiveInferenceModel.model_selector()
    • SelectiveInferenceModel
      • SelectiveInferenceModel.algorithm()
      • SelectiveInferenceModel.construct_hypothesis()
      • SelectiveInferenceModel.forward()
      • SelectiveInferenceModel.inference()
      • SelectiveInferenceModel.model_selector()
    • load()
  • si4onnx.utils module
    • thresholding()
    • to_numpy()
    • to_torch_tensor()
  • Module contents
    • Abs
      • Abs.forward()
      • Abs.forward_si()
    • AverageFilter
      • AverageFilter.forward()
      • AverageFilter.forward_si()
    • BackMeanDiff
      • BackMeanDiff.algorithm()
      • BackMeanDiff.construct_hypothesis()
      • BackMeanDiff.model_selector()
    • GaussianFilter
      • GaussianFilter.forward()
      • GaussianFilter.forward_si()
    • Hypothesis
      • Hypothesis.algorithm()
      • Hypothesis.construct_hypothesis()
      • Hypothesis.model_selector()
    • InputDiff
      • InputDiff.forward()
      • InputDiff.forward_si()
    • NN
      • NN.forward()
      • NN.forward_si()
    • Neg
      • Neg.forward()
      • Neg.forward_si()
    • NeighborMeanDiff
      • NeighborMeanDiff.algorithm()
      • NeighborMeanDiff.construct_hypothesis()
      • NeighborMeanDiff.model_selector()
    • Operator
      • Operator.forward()
      • Operator.forward_si()
    • ReferenceMeanDiff
      • ReferenceMeanDiff.algorithm()
      • ReferenceMeanDiff.construct_hypothesis()
      • ReferenceMeanDiff.model_selector()
    • SelectiveInferenceModel
      • SelectiveInferenceModel.algorithm()
      • SelectiveInferenceModel.construct_hypothesis()
      • SelectiveInferenceModel.forward()
      • SelectiveInferenceModel.inference()
      • SelectiveInferenceModel.model_selector()
    • SyntheticDataset
      • SyntheticDataset.data
      • SyntheticDataset.masks
      • SyntheticDataset.labels
    • load()
    • thresholding()