/* * 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 */