1 /* 2 * Copyright (c) 2019-2020 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_CPP_DETECTION_POSTPROCESS_H 25 #define ARM_COMPUTE_CPP_DETECTION_POSTPROCESS_H 26 27 #include "arm_compute/runtime/CPP/ICPPSimpleFunction.h" 28 29 #include "arm_compute/core/Types.h" 30 #include "arm_compute/runtime/CPP/functions/CPPNonMaximumSuppression.h" 31 #include "arm_compute/runtime/IMemoryManager.h" 32 #include "arm_compute/runtime/MemoryGroup.h" 33 #include "arm_compute/runtime/Tensor.h" 34 35 #include <map> 36 37 namespace arm_compute 38 { 39 class ITensor; 40 41 /** CPP Function to generate the detection output based on center size encoded boxes, class prediction and anchors 42 * by doing non maximum suppression. 43 * 44 * @note Intended for use with MultiBox detection method. 45 */ 46 class CPPDetectionPostProcessLayer : public IFunction 47 { 48 public: 49 /** Constructor */ 50 CPPDetectionPostProcessLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); 51 /** Prevent instances of this class from being copied (As this class contains pointers) */ 52 CPPDetectionPostProcessLayer(const CPPDetectionPostProcessLayer &) = delete; 53 /** Prevent instances of this class from being copied (As this class contains pointers) */ 54 CPPDetectionPostProcessLayer &operator=(const CPPDetectionPostProcessLayer &) = delete; 55 /** Configure the detection output layer CPP function 56 * 57 * @param[in] input_box_encoding The bounding box input tensor. Data types supported: F32/QASYMM8/QASYMM8_SIGNED. 58 * @param[in] input_score The class prediction input tensor. Data types supported: Same as @p input_box_encoding. 59 * @param[in] input_anchors The anchors input tensor. Data types supported: Same as @p input_box_encoding. 60 * @param[out] output_boxes The boxes output tensor. Data types supported: F32. 61 * @param[out] output_classes The classes output tensor. Data types supported: Same as @p output_boxes. 62 * @param[out] output_scores The scores output tensor. Data types supported: Same as @p output_boxes. 63 * @param[out] num_detection The number of output detection. Data types supported: Same as @p output_boxes. 64 * @param[in] info (Optional) DetectionPostProcessLayerInfo information. 65 * 66 * @note Output contains all the detections. Of those, only the ones selected by the valid region are valid. 67 */ 68 void configure(const ITensor *input_box_encoding, const ITensor *input_score, const ITensor *input_anchors, 69 ITensor *output_boxes, ITensor *output_classes, ITensor *output_scores, ITensor *num_detection, DetectionPostProcessLayerInfo info = DetectionPostProcessLayerInfo()); 70 /** Static function to check if given info will lead to a valid configuration of @ref CPPDetectionPostProcessLayer 71 * 72 * @param[in] input_box_encoding The bounding box input tensor info. Data types supported: F32/QASYMM8/QASYMM8_SIGNED. 73 * @param[in] input_class_score The class prediction input tensor info. Data types supported: Same as @p input_box_encoding. 74 * @param[in] input_anchors The anchors input tensor. Data types supported: F32, QASYMM8. 75 * @param[out] output_boxes The output tensor. Data types supported: F32. 76 * @param[out] output_classes The output tensor. Data types supported: Same as @p output_boxes. 77 * @param[out] output_scores The output tensor. Data types supported: Same as @p output_boxes. 78 * @param[out] num_detection The number of output detection. Data types supported: Same as @p output_boxes. 79 * @param[in] info (Optional) DetectionPostProcessLayerInfo information. 80 * 81 * @return a status 82 */ 83 static Status validate(const ITensorInfo *input_box_encoding, const ITensorInfo *input_class_score, const ITensorInfo *input_anchors, 84 ITensorInfo *output_boxes, ITensorInfo *output_classes, ITensorInfo *output_scores, ITensorInfo *num_detection, 85 DetectionPostProcessLayerInfo info = DetectionPostProcessLayerInfo()); 86 // Inherited methods overridden: 87 void run() override; 88 89 private: 90 MemoryGroup _memory_group; 91 CPPNonMaximumSuppression _nms; 92 const ITensor *_input_box_encoding; 93 const ITensor *_input_scores; 94 const ITensor *_input_anchors; 95 ITensor *_output_boxes; 96 ITensor *_output_classes; 97 ITensor *_output_scores; 98 ITensor *_num_detection; 99 DetectionPostProcessLayerInfo _info; 100 101 const unsigned int _kBatchSize = 1; 102 const unsigned int _kNumCoordBox = 4; 103 unsigned int _num_boxes; 104 unsigned int _num_classes_with_background; 105 unsigned int _num_max_detected_boxes; 106 bool _dequantize_scores; 107 108 Tensor _decoded_boxes; 109 Tensor _decoded_scores; 110 Tensor _selected_indices; 111 Tensor _class_scores; 112 const ITensor *_input_scores_to_use; 113 }; 114 } // namespace arm_compute 115 #endif /* ARM_COMPUTE_CPP_DETECTION_POSTPROCESS_H */ 116