Examples with ShapeSplitter com.joliciel.jochre.boundaries.ShapeSplitter used on opensource projects

Example 1 with ShapeSplitter

use of com.joliciel.jochre.boundaries.ShapeSplitter in project jochre by urieli.

the class Jochre method doCommandEvaluateFull.

/**
 * Evaluate a suite of split/merge models and letter guessing model.
 *  @param criteria
 *          for selecting the evaluation corpus
 * @param save
 *          whether or not the letter guesses should be saved
 */
public void doCommandEvaluateFull(CorpusSelectionCriteria criteria, boolean save, File outputDir, MostLikelyWordChooser wordChooser, String suffix, List<DocumentObserver> observers) throws IOException {
    String baseName = jochreSession.getLetterModelPath().substring(0, jochreSession.getLetterModelPath().indexOf("."));
    if (baseName.lastIndexOf("/") > 0)
        baseName = baseName.substring(baseName.lastIndexOf("/") + 1);
    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());
    ClassificationModel splitModel = jochreSession.getSplitModel();
    if (splitModel == null)
        throw new IllegalArgumentException("Missing parameter: jochre.image-analyser.split-model");
    List<String> splitFeatureDescriptors = splitModel.getFeatureDescriptors();
    SplitFeatureParser splitFeatureParser = new SplitFeatureParser();
    Set<SplitFeature<?>> splitFeatures = splitFeatureParser.getSplitFeatureSet(splitFeatureDescriptors);
    SplitCandidateFinder splitCandidateFinder = new SplitCandidateFinder(jochreSession);
    splitCandidateFinder.setMinDistanceBetweenSplits(5);
    ShapeSplitter shapeSplitter = new RecursiveShapeSplitter(splitCandidateFinder, splitFeatures, splitModel.getDecisionMaker(), jochreSession);
    ClassificationModel mergeModel = jochreSession.getMergeModel();
    if (mergeModel == null)
        throw new IllegalArgumentException("Missing parameter: jochre.image-analyser.merge-model");
    List<String> mergeFeatureDescriptors = mergeModel.getFeatureDescriptors();
    MergeFeatureParser mergeFeatureParser = new MergeFeatureParser();
    Set<MergeFeature<?>> mergeFeatures = mergeFeatureParser.getMergeFeatureSet(mergeFeatureDescriptors);
    ShapeMerger shapeMerger = new ShapeMerger(mergeFeatures, mergeModel.getDecisionMaker());
    BoundaryDetector boundaryDetector = null;
    String boundaryDetectorTypeName = jochreSession.getConfig().getConfig("jochre.boundaries").getString("boundary-detector-type");
    BoundaryDetectorType boundaryDetectorType = BoundaryDetectorType.valueOf(boundaryDetectorTypeName);
    switch(boundaryDetectorType) {
        case LetterByLetter:
            boundaryDetector = new LetterByLetterBoundaryDetector(shapeSplitter, shapeMerger, jochreSession);
            break;
        case Deterministic:
            boundaryDetector = new DeterministicBoundaryDetector(shapeSplitter, shapeMerger, jochreSession);
            break;
    }
    ImageAnalyser imageAnalyser = new BeamSearchImageAnalyser(boundaryDetector, letterGuesser, wordChooser, jochreSession);
    LetterValidator letterValidator = new ComponentCharacterValidator(jochreSession);
    OriginalShapeLetterAssigner shapeLetterAssigner = new OriginalShapeLetterAssigner();
    shapeLetterAssigner.setEvaluate(true);
    shapeLetterAssigner.setSave(save);
    shapeLetterAssigner.setLetterValidator(letterValidator);
    shapeLetterAssigner.setSingleLetterMethod(false);
    imageAnalyser.addObserver(shapeLetterAssigner);
    ErrorLogger errorLogger = new ErrorLogger(jochreSession);
    Writer errorWriter = null;
    File errorFile = new File(outputDir, baseName + suffix + "errors.txt");
    errorFile.delete();
    errorWriter = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(errorFile, true), "UTF8"));
    errorLogger.setErrorWriter(errorWriter);
    imageAnalyser.addObserver(errorLogger);
    JochreCorpusImageProcessor imageProcessor = new JochreCorpusImageProcessor(criteria, jochreSession);
    imageProcessor.addObserver(imageAnalyser);
    for (DocumentObserver observer : observers) imageProcessor.addObserver(observer);
    imageProcessor.process();
    LOG.debug("F-score for " + jochreSession.getLetterModelPath() + ": " + shapeLetterAssigner.getFScoreCalculator().getTotalFScore());
    String modelFileName = baseName + suffix + "_full";
    File fscoreFile = new File(outputDir, modelFileName + "_fscores.csv");
    Writer fscoreWriter = errorWriter = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(fscoreFile, true), jochreSession.getCsvEncoding()));
    shapeLetterAssigner.getFScoreCalculator().writeScoresToCSV(fscoreWriter);
}

Example 2 with ShapeSplitter

use of com.joliciel.jochre.boundaries.ShapeSplitter in project jochre by urieli.

the class Jochre method doCommandTrain.

/**
 * Train a letter guessing model.
 *
 * @param featureDescriptors
 *          the feature descriptors for training
 * @param criteria
 *          criteria for selecting images to include when training
 * @param reconstructLetters
 *          whether or not complete letters should be reconstructed for
 *          training, from merged/split letters
 */
public void doCommandTrain(List<String> featureDescriptors, CorpusSelectionCriteria criteria, boolean reconstructLetters) {
    if (jochreSession.getLetterModelPath() == null)
        throw new RuntimeException("Missing argument: letterModel");
    if (featureDescriptors == null)
        throw new JochreException("features is required");
    LetterFeatureParser letterFeatureParser = new LetterFeatureParser();
    Set<LetterFeature<?>> features = letterFeatureParser.getLetterFeatureSet(featureDescriptors);
    BoundaryDetector boundaryDetector = null;
    if (reconstructLetters) {
        ShapeSplitter splitter = new TrainingCorpusShapeSplitter(jochreSession);
        ShapeMerger merger = new TrainingCorpusShapeMerger();
        boundaryDetector = new LetterByLetterBoundaryDetector(splitter, merger, jochreSession);
    } else {
        boundaryDetector = new OriginalBoundaryDetector();
    }
    LetterValidator letterValidator = new ComponentCharacterValidator(jochreSession);
    ClassificationEventStream corpusEventStream = new JochreLetterEventStream(features, boundaryDetector, letterValidator, criteria, jochreSession);
    File letterModelFile = new File(jochreSession.getLetterModelPath());
    letterModelFile.getParentFile().mkdirs();
    ModelTrainerFactory modelTrainerFactory = new ModelTrainerFactory();
    ClassificationModelTrainer trainer = modelTrainerFactory.constructTrainer(jochreSession.getConfig());
    ClassificationModel letterModel = trainer.trainModel(corpusEventStream, featureDescriptors);
    letterModel.persist(letterModelFile);
}

Example 3 with ShapeSplitter

use of com.joliciel.jochre.boundaries.ShapeSplitter 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);
}

Example 4 with ShapeSplitter

use of com.joliciel.jochre.boundaries.ShapeSplitter in project jochre by urieli.

the class Jochre method doCommandEvaluateSplits.

/**
 * Evaluate the letter splitting model on its own.
 *
 * @param criteria
 *          the criteria used to select the evaluation corpus
 */
public void doCommandEvaluateSplits(CorpusSelectionCriteria criteria) throws IOException {
    ClassificationModel splitModel = jochreSession.getSplitModel();
    if (splitModel == null)
        throw new IllegalArgumentException("Missing parameter: jochre.image-analyser.split-model");
    List<String> splitFeatureDescriptors = splitModel.getFeatureDescriptors();
    SplitFeatureParser splitFeatureParser = new SplitFeatureParser();
    Set<SplitFeature<?>> splitFeatures = splitFeatureParser.getSplitFeatureSet(splitFeatureDescriptors);
    SplitCandidateFinder splitCandidateFinder = new SplitCandidateFinder(jochreSession);
    splitCandidateFinder.setMinDistanceBetweenSplits(5);
    ShapeSplitter shapeSplitter = new RecursiveShapeSplitter(splitCandidateFinder, splitFeatures, splitModel.getDecisionMaker(), jochreSession);
    JochreCorpusShapeReader shapeReader = new JochreCorpusShapeReader(jochreSession);
    shapeReader.setSelectionCriteria(criteria);
    SplitEvaluator splitEvaluator = new SplitEvaluator(jochreSession);
    FScoreCalculator<String> fScoreCalculator = splitEvaluator.evaluate(shapeReader, shapeSplitter);
    LOG.debug("" + fScoreCalculator.getTotalFScore());
}