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/*
* Copyright (c) 2018-2019 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_OUTPUT_LAYER_H__
#define __ARM_COMPUTE_CPP_DETECTION_OUTPUT_LAYER_H__
#include "arm_compute/runtime/CPP/ICPPSimpleFunction.h"
#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 perform non maximum suppression on the bounding boxes and scores
*
*/
class CPPNonMaximumSuppression : public IFunction
{
public:
/** Default constructor */
CPPNonMaximumSuppression();
/** Configure the function to perform non maximal suppression
*
* @param[in] bboxes The input bounding boxes. Data types supported: F32.
* @param[in] scores The corresponding input confidence. Same as @p scores.
* @param[out] indices The kept indices of bboxes after nms. Data types supported: S32.
* @param[in] max_output_size An integer tensor representing the maximum number of boxes to be selected by non max suppression.
* @param[in] score_threshold The threshold used to filter detection results.
* @param[in] nms_threshold The threshold used in non maximum suppression.
*
*/
void configure(const ITensor *bboxes, const ITensor *scores, ITensor *indices, unsigned int max_output_size, const float score_threshold, const float nms_threshold);
/** Static function to check if given arguments will lead to a valid configuration of @ref CPPNonMaximumSuppression
*
* @param[in] bboxes The input bounding boxes. Data types supported: F32.
* @param[in] scores The corresponding input confidence. Same as @p scores.
* @param[out] indices The kept indices of bboxes after nms. Data types supported: S32.
* @param[in] max_output_size An integer tensor representing the maximum number of boxes to be selected by non max suppression.
* @param[in] score_threshold The threshold used to filter detection results.
* @param[in] nms_threshold The threshold used in non maximum suppression.
*
*/
static Status validate(const ITensorInfo *bboxes, const ITensorInfo *scores, const ITensorInfo *indices, unsigned int max_output_size,
const float score_threshold, const float nms_threshold);
// Inherited methods overridden:
void run() override;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CPPNonMaximumSuppression(const CPPNonMaximumSuppression &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CPPNonMaximumSuppression &operator=(const CPPNonMaximumSuppression &) = delete;
private:
const ITensor *_bboxes;
const ITensor *_scores;
ITensor *_indices;
unsigned int _max_output_size;
float _score_threshold;
float _nms_threshold;
};
/** CPP Function to generate the detection output based on location and confidence
* predictions by doing non maximum suppression.
*
* @note Intended for use with MultiBox detection method.
*/
class CPPDetectionOutputLayer : public IFunction
{
public:
/** Default constructor */
CPPDetectionOutputLayer();
/** Configure the detection output layer CPP kernel
*
* @param[in] input_loc The mbox location input tensor of size [C1, N]. Data types supported: F32.
* @param[in] input_conf The mbox confidence input tensor of size [C2, N]. Data types supported: F32.
* @param[in] input_priorbox The mbox prior box input tensor of size [C3, 2, N]. Data types supported: F32.
* @param[out] output The output tensor of size [7, M]. Data types supported: Same as @p input
* @param[in] info (Optional) DetectionOutputLayerInfo information.
*
* @note Output contains all the detections. Of those, only the ones selected by the valid region are valid.
*/
void configure(const ITensor *input_loc, const ITensor *input_conf, const ITensor *input_priorbox, ITensor *output, DetectionOutputLayerInfo info = DetectionOutputLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref CPPDetectionOutputLayer
*
* @param[in] input_loc The mbox location input tensor info. Data types supported: F32.
* @param[in] input_conf The mbox confidence input tensor info. Data types supported: F32.
* @param[in] input_priorbox The mbox prior box input tensor info. Data types supported: F32.
* @param[in] output The output tensor info. Data types supported: Same as @p input
* @param[in] info (Optional) DetectionOutputLayerInfo information.
*
* @return a status
*/
static Status validate(const ITensorInfo *input_loc, const ITensorInfo *input_conf, const ITensorInfo *input_priorbox, const ITensorInfo *output,
DetectionOutputLayerInfo info = DetectionOutputLayerInfo());
// Inherited methods overridden:
void run() override;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CPPDetectionOutputLayer(const CPPDetectionOutputLayer &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CPPDetectionOutputLayer &operator=(const CPPDetectionOutputLayer &) = delete;
private:
const ITensor *_input_loc;
const ITensor *_input_conf;
const ITensor *_input_priorbox;
ITensor *_output;
DetectionOutputLayerInfo _info;
int _num_priors;
int _num;
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<std::array<float, 4>> _all_prior_variances;
std::vector<LabelBBox> _all_decode_bboxes;
std::vector<std::map<int, std::vector<int>>> _all_indices;
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_CPP_DETECTION_OUTPUT_LAYER_H__ */
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