134 lines
4.9 KiB
C++
134 lines
4.9 KiB
C++
// Copyright (C) 2018-2025 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#pragma once
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#include "openvino/op/op.hpp"
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namespace ov {
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namespace op {
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namespace v0 {
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/// \brief Layer which generates prior boxes of specified sizes
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/// normalized to input image size
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API PriorBox : public Op {
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public:
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OPENVINO_OP("PriorBox", "opset1");
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struct Attributes {
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// min_size Desired min_size of prior boxes
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// max_size Desired max_size of prior boxes
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// aspect_ratio Aspect ratios of prior boxes
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// clip Clip output to [0,1]
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// flip Flip aspect ratios
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// step Distance between prior box centers
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// offset Box offset relative to top center of image
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// variance Values to adjust prior boxes with
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// scale_all_sizes Scale all sizes
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std::vector<float> min_size;
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std::vector<float> max_size;
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std::vector<float> aspect_ratio;
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std::vector<float> density;
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std::vector<float> fixed_ratio;
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std::vector<float> fixed_size;
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bool clip = false;
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bool flip = false;
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float step = 0.0f;
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float offset = 0.0f;
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std::vector<float> variance;
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bool scale_all_sizes = true;
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};
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PriorBox() = default;
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/// \brief Constructs a PriorBox operation
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///
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/// \param layer_shape Shape of layer for which prior boxes are computed
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/// \param image_shape Shape of image to which prior boxes are scaled
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/// \param attrs PriorBox attributes
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PriorBox(const Output<Node>& layer_shape, const Output<Node>& image_shape, const Attributes& attrs);
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void validate_and_infer_types() override;
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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static int64_t number_of_priors(const Attributes& attrs);
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static std::vector<float> normalized_aspect_ratio(const std::vector<float>& aspect_ratio, bool flip);
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const Attributes& get_attrs() const {
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return m_attrs;
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}
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void set_attrs(Attributes&& attrs);
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void set_attrs(const Attributes& attrs);
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bool visit_attributes(AttributeVisitor& visitor) override;
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bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
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bool has_evaluate() const override;
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private:
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Attributes m_attrs;
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};
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} // namespace v0
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namespace v8 {
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/// \brief Layer which generates prior boxes of specified sizes
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/// normalized to input image size
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API PriorBox : public Op {
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public:
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OPENVINO_OP("PriorBox", "opset8");
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struct Attributes {
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// min_size Desired min_size of prior boxes
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// max_size Desired max_size of prior boxes
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// aspect_ratio Aspect ratios of prior boxes
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// clip Clip output to [0,1]
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// flip Flip aspect ratios
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// step Distance between prior box centers
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// offset Box offset relative to top center of image
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// variance Values to adjust prior boxes with
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// scale_all_sizes Scale all sizes
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// min_max_aspect_ratios_order Order of output prior box
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std::vector<float> min_size;
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std::vector<float> max_size;
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std::vector<float> aspect_ratio;
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std::vector<float> density;
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std::vector<float> fixed_ratio;
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std::vector<float> fixed_size;
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bool clip = false;
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bool flip = false;
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float step = 0.0f;
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float offset = 0.0f;
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std::vector<float> variance;
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bool scale_all_sizes = true;
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bool min_max_aspect_ratios_order = true;
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};
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PriorBox() = default;
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/// \brief Constructs a PriorBox operation
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///
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/// \param layer_shape Shape of layer for which prior boxes are computed
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/// \param image_shape Shape of image to which prior boxes are scaled
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/// \param attrs PriorBox attributes
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PriorBox(const Output<Node>& layer_shape, const Output<Node>& image_shape, const Attributes& attrs);
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void validate_and_infer_types() override;
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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static int64_t number_of_priors(const Attributes& attrs);
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static std::vector<float> normalized_aspect_ratio(const std::vector<float>& aspect_ratio, bool flip);
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const Attributes& get_attrs() const {
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return m_attrs;
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}
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void set_attrs(Attributes&& attrs);
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void set_attrs(const Attributes& attrs);
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bool visit_attributes(AttributeVisitor& visitor) override;
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bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
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bool has_evaluate() const override;
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private:
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Attributes m_attrs;
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};
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} // namespace v8
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} // namespace op
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} // namespace ov
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