/* * Copyright (c) 2019-2020 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_DETECTION_POSTPROCESS_H #define ARM_COMPUTE_CPP_DETECTION_POSTPROCESS_H #include "arm_compute/runtime/CPP/ICPPSimpleFunction.h" #include "arm_compute/core/Types.h" #include "arm_compute/runtime/CPP/functions/CPPNonMaximumSuppression.h" #include "arm_compute/runtime/IMemoryManager.h" #include "arm_compute/runtime/MemoryGroup.h" #include "arm_compute/runtime/Tensor.h" #include namespace arm_compute { class ITensor; /** CPP Function to generate the detection output based on center size encoded boxes, class prediction and anchors * by doing non maximum suppression. * * @note Intended for use with MultiBox detection method. */ class CPPDetectionPostProcessLayer : public IFunction { public: /** Constructor */ CPPDetectionPostProcessLayer(std::shared_ptr memory_manager = nullptr); /** Prevent instances of this class from being copied (As this class contains pointers) */ CPPDetectionPostProcessLayer(const CPPDetectionPostProcessLayer &) = delete; /** Prevent instances of this class from being copied (As this class contains pointers) */ CPPDetectionPostProcessLayer &operator=(const CPPDetectionPostProcessLayer &) = delete; /** Configure the detection output layer CPP function * * @param[in] input_box_encoding The bounding box input tensor. Data types supported: F32/QASYMM8/QASYMM8_SIGNED. * @param[in] input_score The class prediction input tensor. Data types supported: Same as @p input_box_encoding. * @param[in] input_anchors The anchors input tensor. Data types supported: Same as @p input_box_encoding. * @param[out] output_boxes The boxes output tensor. Data types supported: F32. * @param[out] output_classes The classes output tensor. Data types supported: Same as @p output_boxes. * @param[out] output_scores The scores output tensor. Data types supported: Same as @p output_boxes. * @param[out] num_detection The number of output detection. Data types supported: Same as @p output_boxes. * @param[in] info (Optional) DetectionPostProcessLayerInfo information. * * @note Output contains all the detections. Of those, only the ones selected by the valid region are valid. */ void configure(const ITensor *input_box_encoding, const ITensor *input_score, const ITensor *input_anchors, ITensor *output_boxes, ITensor *output_classes, ITensor *output_scores, ITensor *num_detection, DetectionPostProcessLayerInfo info = DetectionPostProcessLayerInfo()); /** Static function to check if given info will lead to a valid configuration of @ref CPPDetectionPostProcessLayer * * @param[in] input_box_encoding The bounding box input tensor info. Data types supported: F32/QASYMM8/QASYMM8_SIGNED. * @param[in] input_class_score The class prediction input tensor info. Data types supported: Same as @p input_box_encoding. * @param[in] input_anchors The anchors input tensor. Data types supported: F32, QASYMM8. * @param[out] output_boxes The output tensor. Data types supported: F32. * @param[out] output_classes The output tensor. Data types supported: Same as @p output_boxes. * @param[out] output_scores The output tensor. Data types supported: Same as @p output_boxes. * @param[out] num_detection The number of output detection. Data types supported: Same as @p output_boxes. * @param[in] info (Optional) DetectionPostProcessLayerInfo information. * * @return a status */ static Status validate(const ITensorInfo *input_box_encoding, const ITensorInfo *input_class_score, const ITensorInfo *input_anchors, ITensorInfo *output_boxes, ITensorInfo *output_classes, ITensorInfo *output_scores, ITensorInfo *num_detection, DetectionPostProcessLayerInfo info = DetectionPostProcessLayerInfo()); // Inherited methods overridden: void run() override; private: MemoryGroup _memory_group; CPPNonMaximumSuppression _nms; const ITensor *_input_box_encoding; const ITensor *_input_scores; const ITensor *_input_anchors; ITensor *_output_boxes; ITensor *_output_classes; ITensor *_output_scores; ITensor *_num_detection; DetectionPostProcessLayerInfo _info; const unsigned int _kBatchSize = 1; const unsigned int _kNumCoordBox = 4; unsigned int _num_boxes; unsigned int _num_classes_with_background; unsigned int _num_max_detected_boxes; bool _dequantize_scores; Tensor _decoded_boxes; Tensor _decoded_scores; Tensor _selected_indices; Tensor _class_scores; const ITensor *_input_scores_to_use; }; } // namespace arm_compute #endif /* ARM_COMPUTE_CPP_DETECTION_POSTPROCESS_H */