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/**
* Copyright (c) 2023 Samsung Electronics Co., Ltd All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef __MOBILENET_V2_SSD_H__
#define __MOBILENET_V2_SSD_H__
#include "mv_private.h"
#include <memory>
#include <mv_common.h>
#include <string>
#include "ObjectDetection.h"
#include <mv_inference_type.h>
namespace mediavision
{
namespace machine_learning
{
template<typename T> class MobilenetV2Ssd : public ObjectDetection<T>
{
using ObjectDetection<T>::_config;
using ObjectDetection<T>::_preprocess;
using ObjectDetection<T>::_labels;
private:
ObjectDetectionResult _result;
void ApplyNms(std::vector<std::vector<Box> > &box_lists, BoxNmsMode mode, float threshold,
std::vector<Box> &box_vector);
Box decodeBox(const DecodingBox *decodingBox, std::vector<float> &bb_tensor, int idx, float score, int label,
int box_offset);
Box decodeBoxWithAnchor(const BoxAnchorParam *boxAnchorParam, Box &box, cv::Rect2f &anchor);
public:
MobilenetV2Ssd(ObjectDetectionTaskType task_type, std::shared_ptr<Config> config);
~MobilenetV2Ssd();
ObjectDetectionResult &result() override;
};
} // machine_learning
} // mediavision
#endif
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