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/*
* Copyright (c) 2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef __ARM_COMPUTE_CPPBOXWITHNONMAXIMASUPPRESSIONLIMIT_H__
#define __ARM_COMPUTE_CPPBOXWITHNONMAXIMASUPPRESSIONLIMIT_H__
#include "arm_compute/runtime/CPP/ICPPSimpleFunction.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
class ITensor;
/** Basic function to run @ref CPPBoxWithNonMaximaSuppressionLimitKernel */
class CPPBoxWithNonMaximaSuppressionLimit : public ICPPSimpleFunction
{
public:
/** Configure the BoxWithNonMaximaSuppressionLimit CPP kernel
*
* @param[in] scores_in The scores input tensor of size [count, num_classes]. Data types supported: F16/F32
* @param[in] boxes_in The boxes input tensor of size [count, num_classes * 4]. Data types supported: Same as @p scores_in
* @param[in] batch_splits_in The batch splits input tensor of size [batch_size]. Data types supported: Same as @p scores_in
* @note Can be a nullptr. If not a nullptr, @p scores_in and @p boxes_in have items from multiple images.
* @param[out] scores_out The scores output tensor of size [N]. Data types supported: Same as @p scores_in
* @param[out] boxes_out The boxes output tensor of size [N, 4]. Data types supported: Same as @p scores_in
* @param[out] classes The classes output tensor of size [N]. Data types supported: Same as @p scores_in
* @param[out] batch_splits_out (Optional) The batch splits output tensor. Data types supported: Same as @p scores_in
* @param[out] keeps (Optional) The keeps output tensor of size [N]. Data types supported: Same as @p scores_in
* @param[in] keeps_size (Optional) Number of filtered indices per class tensor of size [num_classes]. Data types supported: Same as @p scores_in
* @param[in] info (Optional) BoxNMSLimitInfo information.
*/
void configure(const ITensor *scores_in, const ITensor *boxes_in, const ITensor *batch_splits_in, ITensor *scores_out, ITensor *boxes_out, ITensor *classes,
ITensor *batch_splits_out = nullptr, ITensor *keeps = nullptr, ITensor *keeps_size = nullptr, const BoxNMSLimitInfo info = BoxNMSLimitInfo());
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_CPPBOXWITHNONMAXIMASUPPRESSIONLIMIT_H__ */
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