use of com.joliciel.jochre.letterGuesser.features.LetterFeature in project jochre by urieli.
the class Jochre method doCommandEvaluate.
/**
* Evaluate a given letter guessing model.
* @param criteria
* the criteria used to select the evaluation corpus
*/
public void doCommandEvaluate(CorpusSelectionCriteria criteria, File outputDir, MostLikelyWordChooser wordChooser, boolean reconstructLetters, boolean save, String suffix, boolean includeBeam, List<DocumentObserver> observers) throws IOException {
ClassificationModel letterModel = jochreSession.getLetterModel();
List<String> letterFeatureDescriptors = letterModel.getFeatureDescriptors();
LetterFeatureParser letterFeatureParser = new LetterFeatureParser();
Set<LetterFeature<?>> letterFeatures = letterFeatureParser.getLetterFeatureSet(letterFeatureDescriptors);
LetterGuesser letterGuesser = new LetterGuesser(letterFeatures, letterModel.getDecisionMaker());
String baseName = jochreSession.getLetterModelPath().substring(0, jochreSession.getLetterModelPath().indexOf("."));
if (baseName.lastIndexOf("/") > 0)
baseName = baseName.substring(baseName.lastIndexOf("/") + 1);
baseName += suffix;
BoundaryDetector boundaryDetector = null;
if (reconstructLetters) {
ShapeSplitter splitter = new TrainingCorpusShapeSplitter(jochreSession);
ShapeMerger merger = new TrainingCorpusShapeMerger();
boundaryDetector = new LetterByLetterBoundaryDetector(splitter, merger, jochreSession);
} else {
boundaryDetector = new OriginalBoundaryDetector();
}
ImageAnalyser evaluator = new BeamSearchImageAnalyser(boundaryDetector, letterGuesser, wordChooser, jochreSession);
FScoreObserver fScoreObserver = null;
LetterValidator letterValidator = new ComponentCharacterValidator(jochreSession);
if (reconstructLetters) {
OriginalShapeLetterAssigner originalShapeLetterAssigner = new OriginalShapeLetterAssigner();
originalShapeLetterAssigner.setEvaluate(true);
originalShapeLetterAssigner.setSave(save);
originalShapeLetterAssigner.setLetterValidator(letterValidator);
fScoreObserver = originalShapeLetterAssigner;
} else {
LetterAssigner letterAssigner = new LetterAssigner();
letterAssigner.setSave(save);
evaluator.addObserver(letterAssigner);
fScoreObserver = new SimpleLetterFScoreObserver(letterValidator, jochreSession);
}
evaluator.addObserver(fScoreObserver);
ErrorLogger errorLogger = new ErrorLogger(jochreSession);
Writer errorWriter = null;
File errorFile = new File(outputDir, baseName + "_errors.txt");
errorFile.delete();
errorWriter = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(errorFile, true), "UTF8"));
errorLogger.setErrorWriter(errorWriter);
evaluator.addObserver(errorLogger);
LexiconErrorWriter lexiconErrorWriter = new LexiconErrorWriter(outputDir, baseName, wordChooser, jochreSession);
if (documentGroups != null)
lexiconErrorWriter.setDocumentGroups(documentGroups);
lexiconErrorWriter.setIncludeBeam(includeBeam);
// find all document names (alphabetical ordering)
Set<String> documentNameSet = new TreeSet<>();
JochreCorpusImageReader imageReader1 = new JochreCorpusImageReader(jochreSession);
CorpusSelectionCriteria docCriteria = new CorpusSelectionCriteria();
docCriteria.setImageStatusesToInclude(criteria.getImageStatusesToInclude());
docCriteria.setImageId(criteria.getImageId());
docCriteria.setDocumentId(criteria.getDocumentId());
docCriteria.setDocumentIds(criteria.getDocumentIds());
imageReader1.setSelectionCriteria(docCriteria);
JochreDocument currentDoc = null;
while (imageReader1.hasNext()) {
JochreImage image = imageReader1.next();
if (!image.getPage().getDocument().equals(currentDoc)) {
currentDoc = image.getPage().getDocument();
documentNameSet.add(currentDoc.getName());
}
}
List<String> documentNames = new ArrayList<>(documentNameSet);
lexiconErrorWriter.setDocumentNames(documentNames);
evaluator.addObserver(lexiconErrorWriter);
JochreCorpusImageProcessor imageProcessor = new JochreCorpusImageProcessor(criteria, jochreSession);
imageProcessor.addObserver(evaluator);
for (DocumentObserver observer : observers) imageProcessor.addObserver(observer);
try {
imageProcessor.process();
} finally {
if (errorWriter != null)
errorWriter.close();
}
LOG.debug("F-score for " + jochreSession.getLetterModelPath() + ": " + fScoreObserver.getFScoreCalculator().getTotalFScore());
String modelFileName = baseName;
if (reconstructLetters)
modelFileName += "_Reconstruct";
File fscoreFile = new File(outputDir, modelFileName + "_fscores.csv");
Writer fscoreWriter = errorWriter = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(fscoreFile, true), jochreSession.getCsvEncoding()));
fScoreObserver.getFScoreCalculator().writeScoresToCSV(fscoreWriter);
}
use of com.joliciel.jochre.letterGuesser.features.LetterFeature in project jochre by urieli.
the class JochreDocumentGenerator method requestAnalysis.
/**
* Call if this document should be analysed for letters, after applying
* split/merge models.
*/
public void requestAnalysis(MostLikelyWordChooser wordChooser) {
try {
ClassificationModel letterModel = jochreSession.getLetterModel();
List<String> letterFeatureDescriptors = letterModel.getFeatureDescriptors();
LetterFeatureParser letterFeatureParser = new LetterFeatureParser();
Set<LetterFeature<?>> letterFeatures = letterFeatureParser.getLetterFeatureSet(letterFeatureDescriptors);
LetterGuesser letterGuesser = new LetterGuesser(letterFeatures, letterModel.getDecisionMaker());
BoundaryDetector boundaryDetector = null;
LetterGuessObserver observer = null;
if (jochreSession.getSplitModel() != null && jochreSession.getMergeModel() != null) {
boundaryDetector = new DeterministicBoundaryDetector(jochreSession.getSplitModel(), jochreSession.getMergeModel(), jochreSession);
OriginalShapeLetterAssigner shapeLetterAssigner = new OriginalShapeLetterAssigner();
shapeLetterAssigner.setEvaluate(false);
shapeLetterAssigner.setSave(save);
shapeLetterAssigner.setSingleLetterMethod(false);
observer = shapeLetterAssigner;
} else {
boundaryDetector = new OriginalBoundaryDetector();
LetterAssigner letterAssigner = new LetterAssigner();
letterAssigner.setSave(save);
observer = letterAssigner;
}
ImageAnalyser analyser = new BeamSearchImageAnalyser(boundaryDetector, letterGuesser, wordChooser, jochreSession);
analyser.addObserver(observer);
this.documentObservers.add(0, analyser);
} catch (Exception e) {
LOG.error("Failed to load models", e);
throw new RuntimeException(e);
}
}
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