116 lines
6.1 KiB
C++
116 lines
6.1 KiB
C++
/*
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* Copyright (c) 2019-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_CPP_DETECTION_POSTPROCESS_H
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#define ARM_COMPUTE_CPP_DETECTION_POSTPROCESS_H
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#include "arm_compute/runtime/CPP/ICPPSimpleFunction.h"
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/CPP/functions/CPPNonMaximumSuppression.h"
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#include "arm_compute/runtime/IMemoryManager.h"
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#include "arm_compute/runtime/MemoryGroup.h"
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#include "arm_compute/runtime/Tensor.h"
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#include <map>
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namespace arm_compute
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{
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class ITensor;
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/** CPP Function to generate the detection output based on center size encoded boxes, class prediction and anchors
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* by doing non maximum suppression.
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*
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* @note Intended for use with MultiBox detection method.
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*/
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class CPPDetectionPostProcessLayer : public IFunction
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{
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public:
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/** Constructor */
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CPPDetectionPostProcessLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CPPDetectionPostProcessLayer(const CPPDetectionPostProcessLayer &) = delete;
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CPPDetectionPostProcessLayer &operator=(const CPPDetectionPostProcessLayer &) = delete;
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/** Configure the detection output layer CPP function
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*
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* @param[in] input_box_encoding The bounding box input tensor. Data types supported: F32/QASYMM8/QASYMM8_SIGNED.
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* @param[in] input_score The class prediction input tensor. Data types supported: Same as @p input_box_encoding.
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* @param[in] input_anchors The anchors input tensor. Data types supported: Same as @p input_box_encoding.
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* @param[out] output_boxes The boxes output tensor. Data types supported: F32.
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* @param[out] output_classes The classes output tensor. Data types supported: Same as @p output_boxes.
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* @param[out] output_scores The scores output tensor. Data types supported: Same as @p output_boxes.
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* @param[out] num_detection The number of output detection. Data types supported: Same as @p output_boxes.
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* @param[in] info (Optional) DetectionPostProcessLayerInfo information.
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*
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* @note Output contains all the detections. Of those, only the ones selected by the valid region are valid.
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*/
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void configure(const ITensor *input_box_encoding, const ITensor *input_score, const ITensor *input_anchors,
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ITensor *output_boxes, ITensor *output_classes, ITensor *output_scores, ITensor *num_detection, DetectionPostProcessLayerInfo info = DetectionPostProcessLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref CPPDetectionPostProcessLayer
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*
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* @param[in] input_box_encoding The bounding box input tensor info. Data types supported: F32/QASYMM8/QASYMM8_SIGNED.
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* @param[in] input_class_score The class prediction input tensor info. Data types supported: Same as @p input_box_encoding.
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* @param[in] input_anchors The anchors input tensor. Data types supported: F32, QASYMM8.
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* @param[out] output_boxes The output tensor. Data types supported: F32.
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* @param[out] output_classes The output tensor. Data types supported: Same as @p output_boxes.
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* @param[out] output_scores The output tensor. Data types supported: Same as @p output_boxes.
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* @param[out] num_detection The number of output detection. Data types supported: Same as @p output_boxes.
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* @param[in] info (Optional) DetectionPostProcessLayerInfo information.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input_box_encoding, const ITensorInfo *input_class_score, const ITensorInfo *input_anchors,
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ITensorInfo *output_boxes, ITensorInfo *output_classes, ITensorInfo *output_scores, ITensorInfo *num_detection,
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DetectionPostProcessLayerInfo info = DetectionPostProcessLayerInfo());
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// Inherited methods overridden:
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void run() override;
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private:
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MemoryGroup _memory_group;
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CPPNonMaximumSuppression _nms;
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const ITensor *_input_box_encoding;
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const ITensor *_input_scores;
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const ITensor *_input_anchors;
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ITensor *_output_boxes;
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ITensor *_output_classes;
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ITensor *_output_scores;
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ITensor *_num_detection;
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DetectionPostProcessLayerInfo _info;
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const unsigned int _kBatchSize = 1;
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const unsigned int _kNumCoordBox = 4;
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unsigned int _num_boxes;
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unsigned int _num_classes_with_background;
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unsigned int _num_max_detected_boxes;
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bool _dequantize_scores;
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Tensor _decoded_boxes;
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Tensor _decoded_scores;
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Tensor _selected_indices;
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Tensor _class_scores;
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const ITensor *_input_scores_to_use;
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_CPP_DETECTION_POSTPROCESS_H */
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