63 lines
2.1 KiB
C++
63 lines
2.1 KiB
C++
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// 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 PriorBoxClustered : public Op {
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public:
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OPENVINO_OP("PriorBoxClustered", "opset1");
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struct Attributes {
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// widths Desired widths of prior boxes
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// heights Desired heights of prior boxes
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// clip Clip output to [0,1]
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// step_widths Distance between prior box centers
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// step_heights Distance between prior box centers
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// step Distance between prior box centers (when step_w = step_h)
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// offset Box offset relative to top center of image
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// variances Values to adjust prior boxes with
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std::vector<float> widths;
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std::vector<float> heights;
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bool clip = true;
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float step_widths = 0.0f;
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float step_heights = 0.0f;
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float step = 0.0f;
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float offset = 0.0f;
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std::vector<float> variances;
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};
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PriorBoxClustered() = default;
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/// \brief Constructs a PriorBoxClustered 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 PriorBoxClustered attributes
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PriorBoxClustered(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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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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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 op
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} // namespace ov
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