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136 | /* ============================================================
*
* This file is a part of digiKam
*
* Date : 2010-06-16
* Description : Training functions of recognition wrapper
*
* SPDX-FileCopyrightText: 2010 by Marcel Wiesweg <marcel dot wiesweg at gmx dot de>
* SPDX-FileCopyrightText: 2010 by Aditya Bhatt <adityabhatt1991 at gmail dot com>
* SPDX-FileCopyrightText: 2010-2024 by Gilles Caulier <caulier dot gilles at gmail dot com>
* SPDX-FileCopyrightText: 2019 by Thanh Trung Dinh <dinhthanhtrung1996 at gmail dot com>
* SPDX-FileCopyrightText: 2020 by Nghia Duong <minhnghiaduong997 at gmail dot com>
*
* SPDX-License-Identifier: GPL-2.0-or-later
*
* ============================================================ */
#include "facialrecognition_wrapper_p.h"
namespace Digikam
{
void FacialRecognitionWrapper::Private::trainIdentityBatch(const QList<Identity>& identitiesToBeTrained,
TrainingDataProvider* const data,
const QString& trainingContext)
{
Q_FOREACH (const Identity& identity, identitiesToBeTrained)
{
ImageListProvider* const imageList = data->newImages(identity);
QList<QImage*> images = imageList->images();
qCDebug(DIGIKAM_FACESENGINE_LOG) << "Training" << images.size() << "images for identity" << identity.id();
try
{
recognizer->train(images, identity.id(), trainingContext);
}
catch (cv::Exception& e)
{
qCCritical(DIGIKAM_FACESENGINE_LOG) << "cv::Exception training Recognizer:" << e.what();
}
catch (...)
{
qCCritical(DIGIKAM_FACESENGINE_LOG) << "Default exception from OpenCV";
}
}
}
void FacialRecognitionWrapper::Private::clear(const QList<int>& idsToClear, const QString& trainingContext)
{
recognizer->clearTraining(idsToClear, trainingContext);
delete recognizer;
recognizer = new OpenCVDNNFaceRecognizer(OpenCVDNNFaceRecognizer::Tree);
}
// -------------------------------------------------------------------------------------
void FacialRecognitionWrapper::train(const QList<Identity>& identitiesToBeTrained,
TrainingDataProvider* const data,
const QString& trainingContext)
{
if (!d || !d->dbAvailable)
{
return;
}
QMutexLocker lock(&d->mutex);
d->trainIdentityBatch(identitiesToBeTrained, data, trainingContext);
}
void FacialRecognitionWrapper::train(const Identity& identityToBeTrained,
TrainingDataProvider* const data,
const QString& trainingContext)
{
train((QList<Identity>() << identityToBeTrained), data, trainingContext);
}
void FacialRecognitionWrapper::train(const Identity& identityToBeTrained,
QImage* image,<--- Parameter 'image' can be declared as pointer to const
const QString& trainingContext)
{
RecognitionTrainingProvider* const data = new RecognitionTrainingProvider(identityToBeTrained,
QList<QImage*>() << image);
train(identityToBeTrained, data, trainingContext);
delete data;
}
void FacialRecognitionWrapper::train(const Identity& identityToBeTrained,
const QList<QImage*>& images,
const QString& trainingContext)
{
RecognitionTrainingProvider* const data = new RecognitionTrainingProvider(identityToBeTrained, images);
train(identityToBeTrained, data, trainingContext);
delete data;
}
// -------------------------------------------------------------------------------------
void FacialRecognitionWrapper::clearAllTraining(const QString& trainingContext)
{
if (!d || !d->dbAvailable)
{
return;
}
QMutexLocker lock(&d->mutex);
d->identityCache.clear();
FaceDbAccess().db()->clearIdentities();
d->clear(QList<int>(), trainingContext);
}
void FacialRecognitionWrapper::clearTraining(const QList<Identity>& identitiesToClean,
const QString& trainingContext)
{
if (!d || !d->dbAvailable || identitiesToClean.isEmpty())
{
return;
}
QMutexLocker lock(&d->mutex);
QList<int> ids;
Q_FOREACH (const Identity& id, identitiesToClean)
{
ids << id.id();
}
d->clear(ids, trainingContext);
}
} // namespace Digikam
|