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/*
* Copyright (c) 2019 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_CPP_NONMAXIMUMSUPPRESSIONKERNEL_LAYER_H
#define ARM_COMPUTE_CPP_NONMAXIMUMSUPPRESSIONKERNEL_LAYER_H
#include "arm_compute/runtime/CPP/ICPPSimpleFunction.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
class ITensor;
/** CPP Function to perform non maximum suppression on the bounding boxes and scores
*
*/
class CPPNonMaximumSuppressionKernel : public ICPPKernel
{
public:
const char *name() const override
{
return "CPPNonMaximumSuppressionKernel";
}
/** Default constructor */
CPPNonMaximumSuppressionKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CPPNonMaximumSuppressionKernel(const CPPNonMaximumSuppressionKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CPPNonMaximumSuppressionKernel &operator=(const CPPNonMaximumSuppressionKernel &) = delete;
/** Allow instances of this class to be moved */
CPPNonMaximumSuppressionKernel(CPPNonMaximumSuppressionKernel &&) = default;
/** Allow instances of this class to be moved */
CPPNonMaximumSuppressionKernel &operator=(CPPNonMaximumSuppressionKernel &&) = default;
/** Default destructor */
~CPPNonMaximumSuppressionKernel() = default;
/** Configure the kernel to perform non maximal suppression
*
* @param[in] input_bboxes The input bounding boxes. Data types supported: F32.
* @param[in] input_scores The corresponding input confidence. Same as @p input_bboxes.
* @param[out] output_indices The kept indices of bboxes after nms. Data types supported: S32.
* @param[in] max_output_size An integer tensor representing the maximum number of boxes to be selected by non max suppression.
* @param[in] score_threshold The threshold used to filter detection results.
* @param[in] iou_threshold The threshold used in non maximum suppression.
*
*/
void configure(const ITensor *input_bboxes, const ITensor *input_scores, ITensor *output_indices, unsigned int max_output_size, const float score_threshold, const float iou_threshold);
/** Static function to check if given arguments will lead to a valid configuration of @ref CPPNonMaximumSuppressionKernel
*
* @param[in] input_bboxes The input bounding boxes tensor info. Data types supported: F32.
* @param[in] input_scores The corresponding input confidence tensor info. Same as @p input_bboxes.
* @param[out] output_indices The kept indices of bboxes after nms tensor info. Data types supported: S32.
* @param[in] max_output_size An integer tensor representing the maximum number of boxes to be selected by non max suppression.
* @param[in] score_threshold The threshold used to filter detection results.
* @param[in] iou_threshold The threshold used in non maximum suppression.
*
*/
static Status validate(const ITensorInfo *input_bboxes, const ITensorInfo *input_scores, const ITensorInfo *output_indices, unsigned int max_output_size,
const float score_threshold, const float iou_threshold);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
private:
const ITensor *_input_bboxes;
const ITensor *_input_scores;
ITensor *_output_indices;
unsigned int _max_output_size;
float _score_threshold;
float _iou_threshold;
unsigned int _num_boxes;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_CPP_NONMAXIMUMSUPPRESSIONKERNEL_LAYER_H */
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