pid_t *collect_processes(struct pc_conditional **pcc) {
emutex_lock (&process_kill_command_mutex);
pid_t *ret = NULL;
process_status_updater pse = function_find_one("einit-process-status-updater", 1, NULL);
uint32_t i;
if (!pcc) return NULL;
if (pse) {
struct process_status **nps = pse (ps);
free (ps);
ps = nps;
}
if (ps) for (i = 0; pcc[i]; i++) {
process_filter pf = NULL;
const char *pm[2] = { (pcc[i]->match), NULL };
if (!(pcc[i]->match)) continue;
pf = function_find_one("einit-process-filter", 1, pm);
if (pf) ret = pf (pcc[i], ret, ps);
}
emutex_unlock (&process_kill_command_mutex);
return ret;
}
void LayoutTest::testLayout(const cv::Mat & src) const {
// TODOS
// - line spacing needs smoothing -> graphcut
// - DBScan is very sensitive to the line spacing
// Workflow:
// - implement noise/text etc classification on SuperPixel level
// - smooth labels using graphcut
// - perform everything else without noise pixels
// Training:
// - open mode (whole image only contains e.g. machine printed)
// - baseline mode -> overlap with superpixel
cv::Mat img = src.clone();
//cv::resize(src, img, cv::Size(), 0.25, 0.25, CV_INTER_AREA);
Timer dt;
// find super pixels
rdf::SuperPixel superPixel(img);
if (!superPixel.compute())
qWarning() << "could not compute super pixel!";
QVector<QSharedPointer<Pixel> > sp = superPixel.getSuperPixels();
// find local orientation per pixel
rdf::LocalOrientation lo(sp);
if (!lo.compute())
qWarning() << "could not compute local orientation";
// smooth estimation
rdf::GraphCutOrientation pse(sp);
if (!pse.compute())
qWarning() << "could not compute set orientation";
// pixel labeling
QSharedPointer<SuperPixelModel> model = SuperPixelModel::read(mConfig.classifierPath());
//FeatureCollectionManager fcm = FeatureCollectionManager::read(mConfig.featureCachePath());
//// train classifier
//SuperPixelTrainer spt(fcm);
//if (!spt.compute())
// qCritical() << "could not train data...";
//auto model = spt.model();
SuperPixelClassifier spc(src, sp);
spc.setModel(model);
if (!spc.compute())
qWarning() << "could not classify SuperPixels";
//// find tab stops
//rdf::TabStopAnalysis tabStops(sp);
//if (!tabStops.compute())
// qWarning() << "could not compute text block segmentation!";
//// find text lines
//rdf::TextLineSegmentation textLines(sp);
//textLines.addLines(tabStops.tabStopLines(30)); // TODO: fix parameter
//if (!textLines.compute())
// qWarning() << "could not compute text block segmentation!";
qInfo() << "algorithm computation time" << dt;
// drawing
//cv::Mat rImg(img.rows, img.cols, CV_8UC1, cv::Scalar::all(150));
cv::Mat rImg = img.clone();
//// draw edges
//rImg = textBlocks.draw(rImg);
//rImg = lo.draw(rImg, "1012", 256);
//rImg = lo.draw(rImg, "507", 128);
//rImg = lo.draw(rImg, "507", 64);
//// save super pixel image
//rImg = superPixel.drawSuperPixels(rImg);
//rImg = tabStops.draw(rImg);
//rImg = textLines.draw(rImg);
rImg = spc.draw(rImg);
QString maskPath = rdf::Utils::instance().createFilePath(mConfig.outputPath(), "-classified");
rdf::Image::save(rImg, maskPath);
qDebug() << "debug image added" << maskPath;
//// write XML -----------------------------------
//QString loadXmlPath = rdf::PageXmlParser::imagePathToXmlPath(mConfig.imagePath());
//rdf::PageXmlParser parser;
//parser.read(loadXmlPath);
//auto pe = parser.page();
//pe->setCreator(QString("CVL"));
//pe->setImageSize(QSize(img.rows, img.cols));
//pe->setImageFileName(QFileInfo(mConfig.imagePath()).fileName());
//// start writing content
//auto ps = PixelSet::fromEdges(PixelSet::connect(sp, Rect(0, 0, img.cols, img.rows)));
//if (!ps.empty()) {
// QSharedPointer<Region> textRegion = QSharedPointer<Region>(new Region());
// textRegion->setType(Region::type_text_region);
// textRegion->setPolygon(ps[0]->convexHull());
//
// for (auto tl : textLines.textLines()) {
// textRegion->addUniqueChild(tl);
// }
// pe->rootRegion()->addUniqueChild(textRegion);
//}
//parser.write(mConfig.xmlPath(), pe);
//qDebug() << "results written to" << mConfig.xmlPath();
}
void LayoutTest::layoutToXml() const {
QImage imgQt(mConfig.imagePath());
cv::Mat img = Image::qImage2Mat(imgQt);
Timer dt;
// find super pixels
rdf::SuperPixel superPixel(img);
if (!superPixel.compute())
qWarning() << "could not compute super pixel!";
QVector<QSharedPointer<Pixel> > sp = superPixel.getSuperPixels();
// find local orientation per pixel
rdf::LocalOrientation lo(sp);
if (!lo.compute())
qWarning() << "could not compute local orientation";
// smooth estimation
rdf::GraphCutOrientation pse(sp);
if (!pse.compute())
qWarning() << "could not compute set orientation";
//// find tab stops
//rdf::TabStopAnalysis tabStops(sp);
//if (!tabStops.compute())
// qWarning() << "could not compute text block segmentation!";
// find text lines
rdf::TextLineSegmentation textLines(sp);
if (!textLines.compute())
qWarning() << "could not compute text block segmentation!";
qInfo() << "algorithm computation time" << dt;
// drawing
cv::Mat rImg = img.clone();
// save super pixel image
//rImg = superPixel.drawSuperPixels(rImg);
//rImg = tabStops.draw(rImg);
rImg = textLines.draw(rImg);
QString dstPath = rdf::Utils::instance().createFilePath(mConfig.outputPath(), "-textlines");
rdf::Image::save(rImg, dstPath);
qDebug() << "debug image saved: " << dstPath;
// write XML -----------------------------------
QString loadXmlPath = rdf::PageXmlParser::imagePathToXmlPath(mConfig.imagePath());
rdf::PageXmlParser parser;
parser.read(loadXmlPath);
auto pe = parser.page();
pe->setCreator(QString("CVL"));
pe->setImageSize(QSize(img.rows, img.cols));
pe->setImageFileName(QFileInfo(mConfig.imagePath()).fileName());
// start writing content
auto ps = PixelSet::fromEdges(PixelSet::connect(sp));
if (!ps.empty()) {
QSharedPointer<Region> textRegion = QSharedPointer<Region>(new Region());
textRegion->setType(Region::type_text_region);
textRegion->setPolygon(ps[0]->convexHull());
for (auto tl : textLines.textLines()) {
textRegion->addUniqueChild(tl);
}
pe->rootRegion()->addUniqueChild(textRegion);
}
parser.write(mConfig.xmlPath(), pe);
qDebug() << "results written to" << mConfig.xmlPath();
}
