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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 "pose_landmark_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> PoseLandmarkAdapter<T, V>::PoseLandmarkAdapter() : _source()
{
// In default, 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().
_landmark_detection = make_unique<PldCpm>(LandmarkDetectionTaskType::PLD_CPM);
}
template<typename T, typename V> PoseLandmarkAdapter<T, V>::~PoseLandmarkAdapter()
{}
template<typename T, typename V> void PoseLandmarkAdapter<T, V>::create(LandmarkDetectionTaskType task_type)
{
// If default task type is same as a given one then skip.
if (_landmark_detection->getTaskType() == task_type)
return;
_landmark_detection.reset();
if (task_type == LandmarkDetectionTaskType::PLD_CPM)
_landmark_detection = make_unique<PldCpm>(task_type);
// TODO.
}
template<typename T, typename V>
void PoseLandmarkAdapter<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);
LandmarkDetectionTaskType task_type = LandmarkDetectionTaskType::LANDMARK_DETECTION_TASK_NONE;
if (model_name_str == string("PLD_CPM"))
task_type = LandmarkDetectionTaskType::PLD_CPM;
// TODO.
else
throw InvalidParameter("Invalid landmark 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()) {
LOGW("Given model info is invalid so default model info will be used instead.");
return;
}
_landmark_detection->setUserModel(_model_file, _meta_file, _label_file);
}
template<typename T, typename V>
void PoseLandmarkAdapter<T, V>::setEngineInfo(const char *engine_type, const char *device_type)
{
_landmark_detection->setEngineInfo(string(engine_type), string(device_type));
}
template<typename T, typename V> void PoseLandmarkAdapter<T, V>::configure()
{
_landmark_detection->parseMetaFile("pose_landmark.json");
_landmark_detection->configure();
}
template<typename T, typename V> void PoseLandmarkAdapter<T, V>::getNumberOfEngines(unsigned int *number_of_engines)
{
_landmark_detection->getNumberOfEngines(number_of_engines);
}
template<typename T, typename V>
void PoseLandmarkAdapter<T, V>::getEngineType(unsigned int engine_index, char **engine_type)
{
_landmark_detection->getEngineType(engine_index, engine_type);
}
template<typename T, typename V>
void PoseLandmarkAdapter<T, V>::getNumberOfDevices(const char *engine_type, unsigned int *number_of_devices)
{
_landmark_detection->getNumberOfDevices(engine_type, number_of_devices);
}
template<typename T, typename V>
void PoseLandmarkAdapter<T, V>::getDeviceType(const char *engine_type, unsigned int device_index, char **device_type)
{
_landmark_detection->getDeviceType(engine_type, device_index, device_type);
}
template<typename T, typename V> void PoseLandmarkAdapter<T, V>::prepare()
{
_landmark_detection->prepare();
}
template<typename T, typename V> void PoseLandmarkAdapter<T, V>::setInput(T &t)
{
_source = t;
}
template<typename T, typename V> void PoseLandmarkAdapter<T, V>::perform()
{
shared_ptr<MetaInfo> metaInfo = _landmark_detection->getInputMetaInfo();
if (metaInfo->dataType == MV_INFERENCE_DATA_UINT8)
_landmark_detection->perform<unsigned char>(_source.inference_src, metaInfo);
else if (metaInfo->dataType == MV_INFERENCE_DATA_FLOAT32)
_landmark_detection->perform<float>(_source.inference_src, metaInfo);
else
throw InvalidOperation("Invalid model data type.");
}
template<typename T, typename V> void PoseLandmarkAdapter<T, V>::performAsync(T &t)
{
throw InvalidOperation("Not support yet.");
}
template<typename T, typename V> V &PoseLandmarkAdapter<T, V>::getOutput()
{
return _landmark_detection->result();
}
template class PoseLandmarkAdapter<LandmarkDetectionInput, LandmarkDetectionResult>;
}
}
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