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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.
*/
#include "machine_learning_exception.h"
#include "face_detection_adapter.h"
using namespace std;
using namespace MediaVision::Common;
using namespace mediavision::machine_learning;
using namespace mediavision::machine_learning::exception;
namespace mediavision
{
namespace machine_learning
{
template<typename T, typename V> FaceDetectionAdapter<T, V>::FaceDetectionAdapter() : _source()
{
// In default, FD Mobilenet v1 ssd model will be used.
// If other model is set by user then strategy pattern will be used
// to create its corresponding concrete class by calling create().
_object_detection = make_unique<MobilenetV1Ssd>(ObjectDetectionTaskType::FD_MOBILENET_V1_SSD);
}
template<typename T, typename V> FaceDetectionAdapter<T, V>::~FaceDetectionAdapter()
{
_object_detection->preDestroy();
}
template<typename T, typename V> void FaceDetectionAdapter<T, V>::create(ObjectDetectionTaskType task_type)
{
// If default task type is same as a given one then skip.
if (_object_detection->getTaskType() == task_type)
return;
_object_detection.reset();
if (task_type == ObjectDetectionTaskType::FD_MOBILENET_V1_SSD)
_object_detection = make_unique<MobilenetV1Ssd>(task_type);
// TODO.
}
template<typename T, typename V>
void FaceDetectionAdapter<T, V>::setModelInfo(const char *model_file, const char *meta_file, const char *label_file,
const char *model_name)
{
string model_name_str(model_name);
if (!model_name_str.empty()) {
transform(model_name_str.begin(), model_name_str.end(), model_name_str.begin(), ::toupper);
ObjectDetectionTaskType task_type = ObjectDetectionTaskType::OBJECT_DETECTION_TASK_NONE;
if (model_name_str == string("FD_MOBILENET_V1_SSD"))
task_type = ObjectDetectionTaskType::FD_MOBILENET_V1_SSD;
// TODO.
else
throw InvalidParameter("Invalid face detection model name.");
create(task_type);
}
_model_file = string(model_file);
_meta_file = string(meta_file);
_label_file = string(label_file);
if (_model_file.empty() && _meta_file.empty() && _label_file.empty())
return;
_object_detection->setUserModel(_model_file, _meta_file, _label_file);
}
template<typename T, typename V>
void FaceDetectionAdapter<T, V>::setEngineInfo(const char *engine_type, const char *device_type)
{
_object_detection->setEngineInfo(string(engine_type), string(device_type));
}
template<typename T, typename V> void FaceDetectionAdapter<T, V>::configure()
{
_object_detection->configure("face_detection.json");
}
template<typename T, typename V> void FaceDetectionAdapter<T, V>::getNumberOfEngines(unsigned int *number_of_engines)
{
_object_detection->getNumberOfEngines(number_of_engines);
}
template<typename T, typename V>
void FaceDetectionAdapter<T, V>::getEngineType(unsigned int engine_index, char **engine_type)
{
_object_detection->getEngineType(engine_index, engine_type);
}
template<typename T, typename V>
void FaceDetectionAdapter<T, V>::getNumberOfDevices(const char *engine_type, unsigned int *number_of_devices)
{
_object_detection->getNumberOfDevices(engine_type, number_of_devices);
}
template<typename T, typename V>
void FaceDetectionAdapter<T, V>::getDeviceType(const char *engine_type, unsigned int device_index, char **device_type)
{
_object_detection->getDeviceType(engine_type, device_index, device_type);
}
template<typename T, typename V> void FaceDetectionAdapter<T, V>::prepare()
{
_object_detection->prepare();
}
template<typename T, typename V> void FaceDetectionAdapter<T, V>::setInput(T &t)
{
_source = t;
}
template<typename T, typename V> void FaceDetectionAdapter<T, V>::perform()
{
_object_detection->perform(_source.inference_src);
}
template<typename T, typename V> void FaceDetectionAdapter<T, V>::performAsync(T &t)
{
_object_detection->performAsync(t);
}
template<typename T, typename V> V &FaceDetectionAdapter<T, V>::getOutput()
{
return _object_detection->getOutput();
}
template<typename T, typename V> V &FaceDetectionAdapter<T, V>::getOutputCache()
{
return _object_detection->getOutputCache();
}
template class FaceDetectionAdapter<ObjectDetectionInput, ObjectDetectionResult>;
}
}
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