text: /*
   * 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__ */
  