568 lines
25 KiB
C++
568 lines
25 KiB
C++
// Copyright (C) 2018-2025 Intel Corporation
|
|
// SPDX-License-Identifier: Apache-2.0
|
|
//
|
|
|
|
#pragma once
|
|
|
|
#include "openvino/op/op.hpp"
|
|
|
|
namespace ov {
|
|
namespace op {
|
|
namespace v1 {
|
|
/// \brief Elementwise addition operation.
|
|
///
|
|
/// \ingroup ov_ops_cpp_api
|
|
class OPENVINO_API NonMaxSuppression : public Op {
|
|
public:
|
|
enum class BoxEncodingType { CORNER, CENTER };
|
|
|
|
OPENVINO_OP("NonMaxSuppression", "opset1", op::Op);
|
|
|
|
NonMaxSuppression() = default;
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation.
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box scores
|
|
/// \param max_output_boxes_per_class Node producing maximum number of boxes to be
|
|
/// selected per class
|
|
/// \param iou_threshold Node producing intersection over union threshold
|
|
/// \param score_threshold Node producing minimum score threshold
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const Output<Node>& max_output_boxes_per_class,
|
|
const Output<Node>& iou_threshold,
|
|
const Output<Node>& score_threshold,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true);
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation with default values for the last
|
|
/// 3 inputs
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box coordinates
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true);
|
|
|
|
bool visit_attributes(AttributeVisitor& visitor) override;
|
|
void validate_and_infer_types() override;
|
|
|
|
std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
|
|
|
|
BoxEncodingType get_box_encoding() const {
|
|
return m_box_encoding;
|
|
}
|
|
void set_box_encoding(const BoxEncodingType box_encoding) {
|
|
m_box_encoding = box_encoding;
|
|
}
|
|
bool get_sort_result_descending() const {
|
|
return m_sort_result_descending;
|
|
}
|
|
void set_sort_result_descending(const bool sort_result_descending) {
|
|
m_sort_result_descending = sort_result_descending;
|
|
}
|
|
|
|
protected:
|
|
BoxEncodingType m_box_encoding = BoxEncodingType::CORNER;
|
|
bool m_sort_result_descending = true;
|
|
|
|
private:
|
|
int64_t max_boxes_output_from_input() const;
|
|
};
|
|
} // namespace v1
|
|
|
|
namespace v3 {
|
|
/// \brief NonMaxSuppression operation
|
|
///
|
|
/// \ingroup ov_ops_cpp_api
|
|
class OPENVINO_API NonMaxSuppression : public Op {
|
|
public:
|
|
enum class BoxEncodingType { CORNER, CENTER };
|
|
|
|
OPENVINO_OP("NonMaxSuppression", "opset3", op::Op);
|
|
NonMaxSuppression() = default;
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation.
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box scores
|
|
/// \param max_output_boxes_per_class Node producing maximum number of boxes to be
|
|
/// selected per class
|
|
/// \param iou_threshold Node producing intersection over union threshold
|
|
/// \param score_threshold Node producing minimum score threshold
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const Output<Node>& max_output_boxes_per_class,
|
|
const Output<Node>& iou_threshold,
|
|
const Output<Node>& score_threshold,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation with default values for the last
|
|
/// 3 inputs
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box coordinates
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
bool visit_attributes(AttributeVisitor& visitor) override;
|
|
void validate_and_infer_types() override;
|
|
|
|
std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
|
|
|
|
BoxEncodingType get_box_encoding() const {
|
|
return m_box_encoding;
|
|
}
|
|
void set_box_encoding(const BoxEncodingType box_encoding) {
|
|
m_box_encoding = box_encoding;
|
|
}
|
|
bool get_sort_result_descending() const {
|
|
return m_sort_result_descending;
|
|
}
|
|
void set_sort_result_descending(const bool sort_result_descending) {
|
|
m_sort_result_descending = sort_result_descending;
|
|
}
|
|
|
|
element::Type get_output_type() const {
|
|
return m_output_type;
|
|
}
|
|
void set_output_type(const element::Type& output_type) {
|
|
m_output_type = output_type;
|
|
}
|
|
using Node::set_output_type;
|
|
|
|
protected:
|
|
BoxEncodingType m_box_encoding = BoxEncodingType::CORNER;
|
|
bool m_sort_result_descending = true;
|
|
ov::element::Type m_output_type = ov::element::i64;
|
|
int64_t max_boxes_output_from_input() const;
|
|
};
|
|
} // namespace v3
|
|
|
|
namespace v4 {
|
|
/// \brief NonMaxSuppression operation
|
|
///
|
|
/// \ingroup ov_ops_cpp_api
|
|
class OPENVINO_API NonMaxSuppression : public op::v3::NonMaxSuppression {
|
|
public:
|
|
OPENVINO_OP("NonMaxSuppression", "opset4", op::v3::NonMaxSuppression);
|
|
NonMaxSuppression() = default;
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation.
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box scores
|
|
/// \param max_output_boxes_per_class Node producing maximum number of boxes to be
|
|
/// selected per class
|
|
/// \param iou_threshold Node producing intersection over union threshold
|
|
/// \param score_threshold Node producing minimum score threshold
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const Output<Node>& max_output_boxes_per_class,
|
|
const Output<Node>& iou_threshold,
|
|
const Output<Node>& score_threshold,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation with default values for the last
|
|
/// 3 inputs
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box coordinates
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
void validate_and_infer_types() override;
|
|
|
|
std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
|
|
};
|
|
} // namespace v4
|
|
|
|
namespace v5 {
|
|
/// \brief NonMaxSuppression operation
|
|
///
|
|
/// \ingroup ov_ops_cpp_api
|
|
class OPENVINO_API NonMaxSuppression : public Op {
|
|
public:
|
|
OPENVINO_OP("NonMaxSuppression", "opset5", op::Op);
|
|
enum class BoxEncodingType { CORNER, CENTER };
|
|
|
|
NonMaxSuppression() = default;
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation with default values in the last
|
|
/// 4 inputs.
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box scores
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation with default values in the last.
|
|
/// 3 inputs.
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box scores
|
|
/// \param max_output_boxes_per_class Node producing maximum number of boxes to be
|
|
/// selected per class
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const Output<Node>& max_output_boxes_per_class,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation with default values in the last.
|
|
/// 2 inputs.
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box scores
|
|
/// \param max_output_boxes_per_class Node producing maximum number of boxes to be
|
|
/// selected per class
|
|
/// \param iou_threshold Node producing intersection over union threshold
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const Output<Node>& max_output_boxes_per_class,
|
|
const Output<Node>& iou_threshold,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation with default value in the last.
|
|
/// input.
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box scores
|
|
/// \param max_output_boxes_per_class Node producing maximum number of boxes to be
|
|
/// selected per class
|
|
/// \param iou_threshold Node producing intersection over union threshold
|
|
/// \param score_threshold Node producing minimum score threshold
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const Output<Node>& max_output_boxes_per_class,
|
|
const Output<Node>& iou_threshold,
|
|
const Output<Node>& score_threshold,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation.
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box scores
|
|
/// \param max_output_boxes_per_class Node producing maximum number of boxes to be
|
|
/// selected per class
|
|
/// \param iou_threshold Node producing intersection over union threshold
|
|
/// \param score_threshold Node producing minimum score threshold
|
|
/// \param soft_nms_sigma Node specifying the sigma parameter for Soft-NMS
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const Output<Node>& max_output_boxes_per_class,
|
|
const Output<Node>& iou_threshold,
|
|
const Output<Node>& score_threshold,
|
|
const Output<Node>& soft_nms_sigma,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
bool visit_attributes(AttributeVisitor& visitor) override;
|
|
void validate_and_infer_types() override;
|
|
|
|
std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
|
|
|
|
BoxEncodingType get_box_encoding() const {
|
|
return m_box_encoding;
|
|
}
|
|
void set_box_encoding(const BoxEncodingType box_encoding) {
|
|
m_box_encoding = box_encoding;
|
|
}
|
|
bool get_sort_result_descending() const {
|
|
return m_sort_result_descending;
|
|
}
|
|
void set_sort_result_descending(const bool sort_result_descending) {
|
|
m_sort_result_descending = sort_result_descending;
|
|
}
|
|
|
|
element::Type get_output_type() const {
|
|
return m_output_type;
|
|
}
|
|
void set_output_type(const element::Type& output_type) {
|
|
m_output_type = output_type;
|
|
}
|
|
using Node::set_output_type;
|
|
|
|
int64_t max_boxes_output_from_input() const;
|
|
float iou_threshold_from_input() const;
|
|
float score_threshold_from_input() const;
|
|
float soft_nms_sigma_from_input() const;
|
|
bool is_soft_nms_sigma_constant_and_default() const;
|
|
|
|
protected:
|
|
BoxEncodingType m_box_encoding = BoxEncodingType::CORNER;
|
|
bool m_sort_result_descending = true;
|
|
ov::element::Type m_output_type = ov::element::i64;
|
|
};
|
|
} // namespace v5
|
|
|
|
namespace v9 {
|
|
/// \brief NonMaxSuppression operation
|
|
///
|
|
class OPENVINO_API NonMaxSuppression : public Op {
|
|
public:
|
|
OPENVINO_OP("NonMaxSuppression", "opset9", op::Op);
|
|
enum class BoxEncodingType { CORNER, CENTER };
|
|
|
|
NonMaxSuppression() = default;
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation with default values in the last
|
|
/// 4 inputs.
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box scores
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation with default values in the last
|
|
/// 3 inputs.
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box scores
|
|
/// \param max_output_boxes_per_class Node producing maximum number of boxes to be
|
|
/// selected per class
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const Output<Node>& max_output_boxes_per_class,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation with default values in the last.
|
|
/// 2 inputs.
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box scores
|
|
/// \param max_output_boxes_per_class Node producing maximum number of boxes to be
|
|
/// selected per class
|
|
/// \param iou_threshold Node producing intersection over union threshold
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const Output<Node>& max_output_boxes_per_class,
|
|
const Output<Node>& iou_threshold,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation with default value in the last.
|
|
/// input.
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box scores
|
|
/// \param max_output_boxes_per_class Node producing maximum number of boxes to be
|
|
/// selected per class
|
|
/// \param iou_threshold Node producing intersection over union threshold
|
|
/// \param score_threshold Node producing minimum score threshold
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const Output<Node>& max_output_boxes_per_class,
|
|
const Output<Node>& iou_threshold,
|
|
const Output<Node>& score_threshold,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
/// \brief Constructs a NonMaxSuppression operation.
|
|
///
|
|
/// \param boxes Node producing the box coordinates
|
|
/// \param scores Node producing the box scores
|
|
/// \param max_output_boxes_per_class Node producing maximum number of boxes to be
|
|
/// selected per class
|
|
/// \param iou_threshold Node producing intersection over union threshold
|
|
/// \param score_threshold Node producing minimum score threshold
|
|
/// \param soft_nms_sigma Node specifying the sigma parameter for Soft-NMS
|
|
/// \param box_encoding Specifies the format of boxes data encoding
|
|
/// \param sort_result_descending Specifies whether it is necessary to sort selected
|
|
/// boxes across batches
|
|
/// \param output_type Specifies the output tensor type
|
|
NonMaxSuppression(const Output<Node>& boxes,
|
|
const Output<Node>& scores,
|
|
const Output<Node>& max_output_boxes_per_class,
|
|
const Output<Node>& iou_threshold,
|
|
const Output<Node>& score_threshold,
|
|
const Output<Node>& soft_nms_sigma,
|
|
const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
|
|
const bool sort_result_descending = true,
|
|
const ov::element::Type& output_type = ov::element::i64);
|
|
|
|
bool visit_attributes(AttributeVisitor& visitor) override;
|
|
void validate_and_infer_types() override;
|
|
|
|
std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
|
|
|
|
BoxEncodingType get_box_encoding() const {
|
|
return m_box_encoding;
|
|
}
|
|
void set_box_encoding(const BoxEncodingType box_encoding) {
|
|
m_box_encoding = box_encoding;
|
|
}
|
|
|
|
bool get_sort_result_descending() const {
|
|
return m_sort_result_descending;
|
|
}
|
|
void set_sort_result_descending(const bool sort_result_descending) {
|
|
m_sort_result_descending = sort_result_descending;
|
|
}
|
|
|
|
element::Type get_output_type() const {
|
|
return m_output_type;
|
|
}
|
|
void set_output_type(const element::Type& output_type) {
|
|
m_output_type = output_type;
|
|
}
|
|
|
|
using Node::set_output_type;
|
|
|
|
int64_t max_boxes_output_from_input() const;
|
|
float iou_threshold_from_input() const;
|
|
float score_threshold_from_input() const;
|
|
float soft_nms_sigma_from_input() const;
|
|
bool is_soft_nms_sigma_constant_and_default() const;
|
|
|
|
protected:
|
|
BoxEncodingType m_box_encoding = BoxEncodingType::CORNER;
|
|
bool m_sort_result_descending = true;
|
|
ov::element::Type m_output_type = ov::element::i64;
|
|
};
|
|
} // namespace v9
|
|
} // namespace op
|
|
|
|
OPENVINO_API
|
|
std::ostream& operator<<(std::ostream& s, const op::v1::NonMaxSuppression::BoxEncodingType& type);
|
|
|
|
OPENVINO_API
|
|
std::ostream& operator<<(std::ostream& s, const op::v3::NonMaxSuppression::BoxEncodingType& type);
|
|
|
|
OPENVINO_API
|
|
std::ostream& operator<<(std::ostream& s, const op::v5::NonMaxSuppression::BoxEncodingType& type);
|
|
|
|
OPENVINO_API
|
|
std::ostream& operator<<(std::ostream& s, const op::v9::NonMaxSuppression::BoxEncodingType& type);
|
|
|
|
template <>
|
|
class OPENVINO_API AttributeAdapter<op::v1::NonMaxSuppression::BoxEncodingType>
|
|
: public EnumAttributeAdapterBase<op::v1::NonMaxSuppression::BoxEncodingType> {
|
|
public:
|
|
AttributeAdapter(op::v1::NonMaxSuppression::BoxEncodingType& value)
|
|
: EnumAttributeAdapterBase<op::v1::NonMaxSuppression::BoxEncodingType>(value) {}
|
|
~AttributeAdapter() override;
|
|
|
|
OPENVINO_RTTI("AttributeAdapter<ov::v1::NonMaxSuppression::BoxEncodingType>");
|
|
};
|
|
|
|
template <>
|
|
class OPENVINO_API AttributeAdapter<op::v3::NonMaxSuppression::BoxEncodingType>
|
|
: public EnumAttributeAdapterBase<op::v3::NonMaxSuppression::BoxEncodingType> {
|
|
public:
|
|
AttributeAdapter(op::v3::NonMaxSuppression::BoxEncodingType& value)
|
|
: EnumAttributeAdapterBase<op::v3::NonMaxSuppression::BoxEncodingType>(value) {}
|
|
~AttributeAdapter() override;
|
|
|
|
OPENVINO_RTTI("AttributeAdapter<ov::v3::NonMaxSuppression::BoxEncodingType>");
|
|
};
|
|
|
|
template <>
|
|
class OPENVINO_API AttributeAdapter<op::v5::NonMaxSuppression::BoxEncodingType>
|
|
: public EnumAttributeAdapterBase<op::v5::NonMaxSuppression::BoxEncodingType> {
|
|
public:
|
|
AttributeAdapter(op::v5::NonMaxSuppression::BoxEncodingType& value)
|
|
: EnumAttributeAdapterBase<op::v5::NonMaxSuppression::BoxEncodingType>(value) {}
|
|
~AttributeAdapter() override;
|
|
|
|
OPENVINO_RTTI("AttributeAdapter<ov::v5::NonMaxSuppression::BoxEncodingType>");
|
|
};
|
|
|
|
template <>
|
|
class OPENVINO_API AttributeAdapter<op::v9::NonMaxSuppression::BoxEncodingType>
|
|
: public EnumAttributeAdapterBase<op::v9::NonMaxSuppression::BoxEncodingType> {
|
|
public:
|
|
AttributeAdapter(op::v9::NonMaxSuppression::BoxEncodingType& value)
|
|
: EnumAttributeAdapterBase<op::v9::NonMaxSuppression::BoxEncodingType>(value) {}
|
|
~AttributeAdapter() override;
|
|
|
|
OPENVINO_RTTI("AttributeAdapter<ov::v9::NonMaxSuppression::BoxEncodingType>");
|
|
};
|
|
|
|
} // namespace ov
|