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/*
* 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/core/Types.h"
#include "arm_compute/runtime/CPP/functions/CPPNonMaximumSuppression.h"
#include "arm_compute/runtime/CPP/ICPPSimpleFunction.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/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 */
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