diff options
Diffstat (limited to 'arm_compute/runtime/CPP/functions')
-rw-r--r-- | arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h | 9 | ||||
-rw-r--r-- | arm_compute/runtime/CPP/functions/CPPDetectionPostProcessLayer.h | 123 |
2 files changed, 124 insertions, 8 deletions
diff --git a/arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h b/arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h index 71be8a0ad8..4e1b8f2a74 100644 --- a/arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h +++ b/arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h @@ -28,17 +28,10 @@ #include "arm_compute/core/Types.h" -#include <map> - namespace arm_compute { class ITensor; -// Normalized Bounding Box [xmin, ymin, xmax, ymax] -using NormalizedBBox = std::array<float, 4>; -// LabelBBox used for map label and bounding box -using LabelBBox = std::map<int, std::vector<NormalizedBBox>>; - /** CPP Function to generate the detection output based on location and confidence * predictions by doing non maximum suppression. * @@ -91,7 +84,7 @@ private: std::vector<LabelBBox> _all_location_predictions; std::vector<std::map<int, std::vector<float>>> _all_confidence_scores; - std::vector<NormalizedBBox> _all_prior_bboxes; + std::vector<BBox> _all_prior_bboxes; std::vector<std::array<float, 4>> _all_prior_variances; std::vector<LabelBBox> _all_decode_bboxes; std::vector<std::map<int, std::vector<int>>> _all_indices; diff --git a/arm_compute/runtime/CPP/functions/CPPDetectionPostProcessLayer.h b/arm_compute/runtime/CPP/functions/CPPDetectionPostProcessLayer.h new file mode 100644 index 0000000000..c13def67c7 --- /dev/null +++ b/arm_compute/runtime/CPP/functions/CPPDetectionPostProcessLayer.h @@ -0,0 +1,123 @@ +/* + * 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_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 <map> + +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<IMemoryManager> 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. + * @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. + * @param[in] input_class_score The class prediction input tensor info. Data types supported: F32, QASYMM8. + * @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; + + Tensor _decoded_boxes; + Tensor _decoded_scores; + Tensor _selected_indices; + Tensor _class_scores; + const ITensor *_input_scores_to_use; + + // Intermediate results + std::vector<int> _result_idx_boxes_after_nms; + std::vector<int> _result_classes_after_nms; + std::vector<float> _result_scores_after_nms; + std::vector<unsigned int> _sorted_indices; + + // Temporary values + std::vector<float> _box_scores; +}; +} // namespace arm_compute +#endif /* __ARM_COMPUTE_CPP_DETECTION_POSTPROCESS_H__ */ |