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/**
* Copyright (c) 2022 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 __FACENET_ADAPTER_H__
#define __FACENET_ADAPTER_H__
#include <dlog.h>
#include "EngineConfig.h"
#include "itask.h"
#include "facenet.h"
namespace mediavision
{
namespace machine_learning
{
template<typename T, typename V> class FacenetAdapter : public mediavision::common::ITask<T, V>
{
private:
std::unique_ptr<Facenet> _facenet;
T _source;
public:
FacenetAdapter();
~FacenetAdapter();
void setModelInfo(const char *model_file, const char *meta_file, const char *label_file,
const char *model_name) override;
void setEngineInfo(const char *engine_type, const char *device_type) override;
void configure() override;
void getNumberOfEngines(unsigned int *number_of_engines) override;
void getEngineType(unsigned int engine_index, char **engine_type) override;
void getNumberOfDevices(const char *engine_type, unsigned int *number_of_devices) override;
void getDeviceType(const char *engine_type, unsigned int device_index, char **device_type) override;
void prepare() override;
void setInput(T &t) override;
void perform() override;
void performAsync(T &t) override;
V &getOutput() override;
V &getOutputCache() override;
};
} // machine_learning
} // mediavision
#endif
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