void DisparityProvider::saveDisparityMap() const noexcept
{
cv::FileStorage fileStorage(DISPARITY_MAP_OUTPUT_FILE,
cv::FileStorage::WRITE);
fileStorage << DISPARITY_MAP_TITLE << _disparityBlackWhite;
fileStorage.release();
}
//--------------------------------------------------------------------------------------------------
std::vector<std::string> LoadConfig(std::string fileAddress,
cv::Size* pBoardSizeOut, cv::Size* pBoardSizeMmOut,
std::string* pCameraNameOut, bool* pbUseDotPatternOut )
{
cv::FileStorage fileStorage( fileAddress, cv::FileStorage::READ );
if ( !fileStorage.isOpened() )
{
throw std::runtime_error( "Unable to open config file" );
}
// Read out BoardSize
cv::FileNode boardSizeNode = fileStorage[ "BoardSize" ];
if ( boardSizeNode.size() != 2 || !boardSizeNode[ 0 ].isInt() || !boardSizeNode[ 1 ].isInt() )
{
throw std::runtime_error( "Unable to read BoardSize" );
}
pBoardSizeOut->width = (int)(boardSizeNode[ 0 ]);
pBoardSizeOut->height = (int)(boardSizeNode[ 1 ]);
// Read out BoardSizeMM
cv::FileNode boardSizeMMNode = fileStorage[ "BoardSizeMM" ];
if ( boardSizeMMNode.size() != 2 || !boardSizeMMNode[ 0 ].isInt() || !boardSizeMMNode[ 1 ].isInt() )
{
throw std::runtime_error( "Unable to read BoardSizeMM" );
}
pBoardSizeMmOut->width = (int)(boardSizeMMNode[ 0 ]);
pBoardSizeMmOut->height = (int)(boardSizeMMNode[ 1 ]);
// Read out CameraName
cv::FileNode cameraNameNode = fileStorage[ "CameraName" ];
if ( !cameraNameNode.isString() )
{
throw std::runtime_error( "Unable to read CameraName" );
}
*pCameraNameOut = (std::string)cameraNameNode;
// Read out UseDotPattern
*pbUseDotPatternOut = false;
cv::FileNode useDotPatternNode = fileStorage[ "UseDotPattern" ];
if ( useDotPatternNode.isInt() )
{
*pbUseDotPatternOut = ((int)useDotPatternNode != 0);
}
// Read in the image file names
std::vector<std::string> imageFilenames;
cv::FileNode imageFilesNode = fileStorage[ "ImageFiles" ];
for ( uint32_t fileIdx = 0; fileIdx < imageFilesNode.size(); fileIdx++ )
{
imageFilenames.push_back( Utilities::decodeRelativeFilename(
Utilities::makeFilenameAbsoluteFromCWD( fileAddress ), (std::string)(imageFilesNode[ fileIdx ]) ) );
}
fileStorage.release();
return imageFilenames;
}
void CalSettings::loadSpecial(const QUrl& url, const QColor& color)
{
if (url.isEmpty())
{
qCDebug(DIGIKAM_GENERAL_LOG) << "Loading calendar from file failed: No valid url provided!";
return;
}
KCalCore::MemoryCalendar::Ptr memCal(new KCalCore::MemoryCalendar(QString::fromLatin1("UTC")));
KCalCore::FileStorage::Ptr fileStorage(new KCalCore::FileStorage(memCal, url.toLocalFile(), new KCalCore::ICalFormat));
qCDebug(DIGIKAM_GENERAL_LOG) << "Loading calendar from file " << url.toLocalFile();
if (!fileStorage->load())
{
qCDebug(DIGIKAM_GENERAL_LOG) << "Failed!";
}
else
{
CalSystem calSys;
QDate qFirst, qLast;
qFirst = calSys.date(params.year, 1, 1);
qLast = calSys.date(params.year + 1, 1, 1);
qLast = qLast.addDays(-1);
KDateTime dtFirst(qFirst);
KDateTime dtLast(qLast);
KDateTime dtCurrent;
int counter = 0;
KCalCore::Event::List list = memCal->rawEvents(qFirst, qLast);
foreach(const KCalCore::Event::Ptr event, list)
{
qCDebug(DIGIKAM_GENERAL_LOG) << event->summary() << endl << "--------";
counter++;
if (event->recurs())
{
KCalCore::Recurrence* const recur = event->recurrence();
for (dtCurrent = recur->getNextDateTime(dtFirst.addDays(-1));
(dtCurrent <= dtLast) && dtCurrent.isValid();
dtCurrent = recur->getNextDateTime(dtCurrent))
{
addSpecial(dtCurrent.date(), Day(color, event->summary()));
}
}
else
{
addSpecial(event->dtStart().date(), Day(color, event->summary()));
}
}
qCDebug(DIGIKAM_GENERAL_LOG) << "Loaded " << counter << " events";
memCal->close();
fileStorage->close();
}
//------------------------------------------------------------------------------
opencvWebcam::opencvWebcam(): cameraId(0)
{
cv::FileStorage fileStorage(PKGDATADIR "/config.xml", cv::FileStorage::READ);
if (fileStorage.isOpened() ) {
cameraId = (int)fileStorage["CAMERA_INDEX"];
}
VideoCapture(cameraId);
}
void DisparityProvider::loadRectifyMaps(std::string& pathToRectifyMaps) noexcept
{
cv::FileStorage fileStorage(pathToRectifyMaps, cv::FileStorage::READ);
fileStorage[RECTIFY_MAP_X1_TITLE] >> _rectifyMapXLeft;
fileStorage[RECTIFY_MAP_Y1_TITLE] >> _rectifyMapYLeft;
fileStorage[RECTIFY_MAP_X2_TITLE] >> _rectifyMapXRight;
fileStorage[RECTIFY_MAP_Y2_TITLE] >> _rectifyMapYRight;
fileStorage.release();
}
bool OpenCvDetector::saveModel(const std::string& filename)
{
cv::FileStorage fileStorage(filename, cv::FileStorage::WRITE);
fileStorage << "detector_type" << getName();
fileStorage << "used_feature_dimensions" << "[";
for(size_t i = 0; i < m_featureDimensions.size(); i++) {
fileStorage << m_featureDimensions[i];
}
fileStorage << "]";
getStatModel()->write(*fileStorage, "classifier");
return true; // FIXME: How to check success?
}
bool OpenCvDetector::loadModel(const std::string& filename)
{
std::string theFilename = filename;
if(theFilename.empty()) m_privateNodeHandle.getParam("model", theFilename);
if(theFilename.empty()) {
ROS_WARN("No model to load has been specified, detector will not be initialized");
return false;
}
cv::FileStorage fileStorage(theFilename, cv::FileStorage::READ);
// Check type of detector that was used to train the model
cv::FileNode detectorTypeNode = fileStorage["detector_type"];
std::string detectorType = (std::string) detectorTypeNode[0];
if(detectorType != getName()) {
ROS_ERROR_STREAM("Detector of type '" << getName() << "' cannot load a model learned for detector of type '" << detectorType << "'!");
return false;
}
// Check feature dimensions that were used to train the model
const std::vector<FeatureDimension> allFeatureDimensions = FeatureRegistry::getAllFeatureDimensions();
std::vector<FeatureDimension> featureDimensions;
cv::FileNode featureDimensionsNode = fileStorage["used_feature_dimensions"];
for(int i = 0; i < featureDimensionsNode.size(); i++) {
FeatureDimension currentDimension = (FeatureDimension) featureDimensionsNode[i];
if(std::find(allFeatureDimensions.begin(), allFeatureDimensions.end(), currentDimension) == allFeatureDimensions.end()) {
ROS_ERROR_STREAM("Unknown feature dimension: " << currentDimension);
return false;
}
featureDimensions.push_back( currentDimension );
}
m_featureDimensions = featureDimensions;
ROS_INFO("Trained model uses %zu feature dimension(s)", featureDimensions.size());
cv::FileNode classifierNode = fileStorage["classifier"];
getStatModel()->read(*fileStorage, *classifierNode);
return true; // FIXME: How to check success? Does load() throw an exception if it fails?
}
// ---------------------------------------------------------------------------
// FileStorageL
// ---------------------------------------------------------------------------
//
MNcdFileStorage& CNcdPreviewManager::FileStorageL(
const CNcdNodeIdentifier& aId )
{
DLTRACEIN(( _L("Namespace: %S"), &aId.NodeNameSpace() ));
MNcdStorage& storage = iStorageManager.CreateOrGetStorageL(
iGeneralManager.FamilyName(),
NcdProviderDefines::KPreviewStorageNamespace );
// Get rid of invalid characters in the namespace since it'll be
// used as a directory name
HBufC* id = EncodeFilenameLC(
aId.NodeNameSpace(),
iStorageManager.FileSession() );
MNcdFileStorage& fileStorage( storage.FileStorageL( *id ) );
CleanupStack::PopAndDestroy( id );
return fileStorage;
}
