本文整理汇总了Java中net.semanticmetadata.lire.imageanalysis.CEDD类的典型用法代码示例。如果您正苦于以下问题：Java CEDD类的具体用法？Java CEDD怎么用？Java CEDD使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
CEDD类属于net.semanticmetadata.lire.imageanalysis包，在下文中一共展示了CEDD类的11个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Java代码示例。
示例1: singleSearch
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import net.semanticmetadata.lire.imageanalysis.CEDD; //导入依赖的package包/类
public double singleSearch(int docNum) throws IOException, InstantiationException, IllegalAccessException {
IndexReader reader = DirectoryReader.open(FSDirectory.open(new File(indexPath)));
// -----------
String query = reader.document(docNum).getValues("hash")[0];
CEDD ceddQuery = new CEDD();
ceddQuery.setByteArrayRepresentation(reader.document(docNum).getField(DocumentBuilder.FIELD_NAME_CEDD).binaryValue().bytes, reader.document(docNum).getField(DocumentBuilder.FIELD_NAME_CEDD).binaryValue().offset, reader.document(docNum).getField(DocumentBuilder.FIELD_NAME_CEDD).binaryValue().length);
// -----------
HashSet<String> gold = new HashSet<String>(numImagesEval);
ImageSearcher cis = ImageSearcherFactory.createCEDDImageSearcher(100);
ImageSearchHits hits = cis.search(reader.document(docNum), reader);
for (int i = 0; i < 10; i++) {
gold.add(hits.doc(i).getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0]);
}
// ------------
IndexSearcher searcher = new IndexSearcher(reader);
searcher.setSimilarity(new SimilarityBase() {
@Override
protected float score(BasicStats basicStats, float freq, float v2) {
return 1;
}
@Override
public String toString() {
return null;
}
});
TopDocs topDocs = searcher.search(createQuery(query), 500);
topDocs = rerank(topDocs, ceddQuery, reader);
// System.out.println("topDocs.scoreDocs.length = " + topDocs.scoreDocs.length);
double numMatches = 0;
for (int i = 0; i < topDocs.scoreDocs.length; i++) {
ScoreDoc scoreDoc = topDocs.scoreDocs[i];
// System.out.print(scoreDoc.score + ": ");
String file = reader.document(scoreDoc.doc).getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0];
// System.out.println(file.substring(file.lastIndexOf('/') + 1) + (gold.contains(file)?" x":" o"));
if (gold.contains(file)) numMatches++;
}
return numMatches;
}
开发者ID:fish2000，
项目名称:lire，
代码行数:46，
代码来源:LocalitySensitiveHashingTest.java
示例2: rerank
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import net.semanticmetadata.lire.imageanalysis.CEDD; //导入依赖的package包/类
private TopDocs rerank(TopDocs docs, LireFeature feature, IndexReader reader) throws IOException, IllegalAccessException, InstantiationException {
LireFeature tmp = new CEDD();
ArrayList<ScoreDoc> res = new ArrayList<ScoreDoc>(docs.scoreDocs.length);
float maxScore = 0f;
for (int i = 0; i < docs.scoreDocs.length; i++) {
tmp.setByteArrayRepresentation(reader.document(docs.scoreDocs[i].doc).getField(DocumentBuilder.FIELD_NAME_CEDD).binaryValue().bytes,
reader.document(docs.scoreDocs[i].doc).getField(DocumentBuilder.FIELD_NAME_CEDD).binaryValue().offset,
reader.document(docs.scoreDocs[i].doc).getField(DocumentBuilder.FIELD_NAME_CEDD).binaryValue().length);
maxScore = Math.max(1 / tmp.getDistance(feature), maxScore);
res.add(new ScoreDoc(docs.scoreDocs[i].doc, 1 / tmp.getDistance(feature)));
}
// sorting res ...
Collections.sort(res, new Comparator<ScoreDoc>() {
@Override
public int compare(ScoreDoc o1, ScoreDoc o2) {
return (int) Math.signum(o2.score - o1.score);
}
});
return new TopDocs(numImagesEval, (ScoreDoc[]) res.toArray(new ScoreDoc[res.size()]), maxScore);
}
开发者ID:fish2000，
项目名称:lire，
代码行数:21，
代码来源:LocalitySensitiveHashingTest.java
示例3: testLsaFilter
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import net.semanticmetadata.lire.imageanalysis.CEDD; //导入依赖的package包/类
public void testLsaFilter() throws IOException {
// index images
// indexFiles();
// search
System.out.println("---< searching >-------------------------");
IndexReader reader = DirectoryReader.open(FSDirectory.open(new File(indexPath)));
Document document = reader.document(0);
ImageSearcher searcher = ImageSearcherFactory.createCEDDImageSearcher(100);
ImageSearchHits hits = searcher.search(document, reader);
// rerank
System.out.println("---< filtering >-------------------------");
LsaFilter filter = new LsaFilter(CEDD.class, DocumentBuilder.FIELD_NAME_CEDD);
hits = filter.filter(hits, document);
// output
FileUtils.saveImageResultsToHtml("filtertest", hits, document.getField(DocumentBuilder.FIELD_NAME_IDENTIFIER).stringValue());
}
开发者ID:fish2000，
项目名称:lire，
代码行数:18，
代码来源:FilterTest.java
示例4: extract
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import net.semanticmetadata.lire.imageanalysis.CEDD; //导入依赖的package包/类
@Override
public void extract(BufferedImage bimg) {
// level 0:
CEDD cedd = new CEDD();
cedd.extract(bimg);
System.arraycopy(cedd.getDoubleHistogram(), 0, histogram, 0, 144);
// level 1:
int w = bimg.getWidth() / 2;
int h = bimg.getHeight() / 2;
cedd.extract(bimg.getSubimage(0, 0, w, h));
System.arraycopy(cedd.getDoubleHistogram(), 0, histogram, 144 * 1, 144);
cedd.extract(bimg.getSubimage(w, 0, w, h));
System.arraycopy(cedd.getDoubleHistogram(), 0, histogram, 144 * 2, 144);
cedd.extract(bimg.getSubimage(0, h, w, h));
System.arraycopy(cedd.getDoubleHistogram(), 0, histogram, 144 * 3, 144);
cedd.extract(bimg.getSubimage(w, h, w, h));
System.arraycopy(cedd.getDoubleHistogram(), 0, histogram, 144 * 4, 144);
// level 2:
int wstep = bimg.getWidth() / 4;
int hstep = bimg.getHeight() / 4;
int binPos = 5; // the next free section in the histogram
for (int i = 0; i < 4; i++) {
for (int j = 0; j < 4; j++) {
cedd.extract(bimg.getSubimage(i * wstep, j * hstep, wstep, hstep));
System.arraycopy(cedd.getDoubleHistogram(), 0, histogram, 144 * binPos, 144);
binPos++;
}
}
}
开发者ID:fish2000，
项目名称:lire，
代码行数:31，
代码来源:SPCEDD.java
示例5: testIndexing
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import net.semanticmetadata.lire.imageanalysis.CEDD; //导入依赖的package包/类
public double testIndexing() throws IOException, IllegalAccessException, InstantiationException {
LocalitySensitiveHashing.generateHashFunctions();
LocalitySensitiveHashing.readHashFunctions();
DocumentBuilder builder = new ChainedDocumentBuilder();
((ChainedDocumentBuilder) builder).addBuilder(DocumentBuilderFactory.getCEDDDocumentBuilder());
// System.out.println("-< Getting files to index >--------------");
ArrayList<String> images = FileUtils.getAllImages(new File(testExtensive), true);
// System.out.println("-< Indexing " + images.size() + " files >--------------");
IndexWriter iw = LuceneUtils.createIndexWriter(indexPath, true, LuceneUtils.AnalyzerType.WhitespaceAnalyzer);
int count = 0;
long time = System.currentTimeMillis();
for (String identifier : images) {
CEDD cedd = new CEDD();
cedd.extract(ImageIO.read(new FileInputStream(identifier)));
Document doc = new Document();
doc.add(new Field(DocumentBuilder.FIELD_NAME_CEDD, cedd.getByteArrayRepresentation()));
doc.add(new Field(DocumentBuilder.FIELD_NAME_IDENTIFIER, identifier, Field.Store.YES, Field.Index.NOT_ANALYZED));
int[] hashes = LocalitySensitiveHashing.generateHashes(cedd.getDoubleHistogram());
StringBuilder hash = new StringBuilder(512);
for (int i = 0; i < hashes.length; i++) {
hash.append(hashes[i]);
hash.append(' ');
}
// System.out.println("hash = " + hash);
doc.add(new Field("hash", hash.toString(), Field.Store.YES, Field.Index.ANALYZED));
iw.addDocument(doc);
count++;
// if (count % 100 == 0) System.out.println(count + " files indexed.");
}
long timeTaken = (System.currentTimeMillis() - time);
float sec = ((float) timeTaken) / 1000f;
// System.out.println(sec + " seconds taken, " + (timeTaken / count) + " ms per image.");
iw.close();
return testSearch();
}
开发者ID:fish2000，
项目名称:lire，
代码行数:41，
代码来源:LocalitySensitiveHashingTest.java
示例6: testOutputSearchResults
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import net.semanticmetadata.lire.imageanalysis.CEDD; //导入依赖的package包/类
public void testOutputSearchResults() throws IOException, InstantiationException, IllegalAccessException {
IndexReader reader = DirectoryReader.open(FSDirectory.open(new File(indexPath)));
int docNum = 0; // doc to search for.
// -----------
String query = reader.document(docNum).getValues("hash")[0];
CEDD ceddQuery = new CEDD();
ceddQuery.setByteArrayRepresentation(reader.document(docNum).getField(DocumentBuilder.FIELD_NAME_CEDD).binaryValue().bytes, reader.document(docNum).getField(DocumentBuilder.FIELD_NAME_CEDD).binaryValue().offset, reader.document(docNum).getField(DocumentBuilder.FIELD_NAME_CEDD).binaryValue().length);
IndexSearcher searcher = new IndexSearcher(reader);
TopDocs topDocs = searcher.search(createQuery(query), numImagesEval);
FileUtils.saveImageResultsToPng("result_lsh", topDocs, reader.document(docNum).getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0], reader);
}
开发者ID:fish2000，
项目名称:lire，
代码行数:14，
代码来源:LocalitySensitiveHashingTest.java
示例7: generateImageHistogram
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import net.semanticmetadata.lire.imageanalysis.CEDD; //导入依赖的package包/类
/**
* Generate Image Histogram with help of 3rd party framwork LIRE
*/
private void generateImageHistogram(BufferedImage bufferedImage) {
CEDD bimgCedd = new CEDD();
bimgCedd.extract(bufferedImage);
this.histogram = bimgCedd.getDoubleHistogram();
}
开发者ID:hiiamok，
项目名称:DISH，
代码行数:9，
代码来源:ImageFeatures.java
示例8: testGenFile
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import net.semanticmetadata.lire.imageanalysis.CEDD; //导入依赖的package包/类
public void testGenFile() throws IOException {
ArrayList<File> images = FileUtils.getAllImageFiles(new File("W:\\Forschung\\Intention_Test_Data\\data\\images"), true);
// print header
System.out.println("% generated automatically by LIRe\n" +
"@relation content_based_features\n" +
"\n" +
"@attribute image_filename String");
System.out.println("@attribute faces numeric");
System.out.println("@attribute cedd relational");
for (int i = 0; i < 144; i++) {
System.out.println("\[email protected] c" + i + " numeric");
}
System.out.println("@end cedd");
System.out.println("@attribute rgb_hist relational");
for (int i = 0; i < 64; i++) {
System.out.println("\[email protected] rh" + i + " numeric");
}
System.out.println("@end rgb_hist");
System.out.println("@data");
// print data
for (Iterator<File> iterator = images.iterator(); iterator.hasNext(); ) {
File nextFile = iterator.next();
try {
BufferedImage img = ImageIO.read(nextFile);
// filename
System.out.print(nextFile.getName() + ",");
// cedd
CEDD cedd = new CEDD();
cedd.extract(img);
double[] histogram = cedd.getDoubleHistogram();
for (int i = 0; i < histogram.length; i++) {
System.out.print((int) histogram[i]);
System.out.print(',');
}
// System.out.println();
// rgb histogram
SimpleColorHistogram.DEFAULT_NUMBER_OF_BINS = 64;
SimpleColorHistogram rgb = new SimpleColorHistogram();
rgb.extract(img);
histogram = rgb.getDoubleHistogram();
for (int i = 0; i < histogram.length; i++) {
System.out.print((int) histogram[i]);
System.out.print(',');
}
System.out.println();
} catch (Exception e) {
System.out.println("-- ERROR -- " + nextFile.getName() + ", " + e.getMessage());
}
}
}
开发者ID:fish2000，
项目名称:lire，
代码行数:52，
代码来源:ArffGeneratorTest.java
示例9: tttestGetDistribution
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import net.semanticmetadata.lire.imageanalysis.CEDD; //导入依赖的package包/类
public void tttestGetDistribution() throws IOException {
BufferedWriter bw = new BufferedWriter(new FileWriter("data.csv"));
IndexReader reader = IndexReader.open(FSDirectory.open(new File(indexPath)));
// get the first document:
// if (!IndexReader.indexExists(reader.directory()))
// throw new FileNotFoundException("No index found at this specific location.");
CEDD cedd1 = new CEDD();
FCTH fcth1 = new FCTH();
CEDD cedd2 = new CEDD();
FCTH fcth2 = new FCTH();
JCD jcd1 = new JCD();
JCD jcd2 = new JCD();
String[] cls;
// Needed for check whether the document is deleted.
Bits liveDocs = MultiFields.getLiveDocs(reader);
int docs = reader.numDocs();
for (int i = 0; i < docs; i++) {
if (reader.hasDeletions() && !liveDocs.get(i)) continue; // if it is deleted, just ignore it.
Document doc = reader.document(i);
cls = doc.getValues(DocumentBuilder.FIELD_NAME_CEDD);
if (cls != null && cls.length > 0)
cedd1.setStringRepresentation(cls[0]);
cls = doc.getValues(DocumentBuilder.FIELD_NAME_FCTH);
if (cls != null && cls.length > 0)
fcth1.setStringRepresentation(cls[0]);
for (int j = i + 1; j < docs; j++) {
if (reader.hasDeletions() && !liveDocs.get(i)) continue; // if it is deleted, just ignore it.
Document doc2 = reader.document(j);
cls = doc2.getValues(DocumentBuilder.FIELD_NAME_CEDD);
if (cls != null && cls.length > 0)
cedd2.setStringRepresentation(cls[0]);
cls = doc2.getValues(DocumentBuilder.FIELD_NAME_FCTH);
if (cls != null && cls.length > 0)
fcth2.setStringRepresentation(cls[0]);
jcd1.init(cedd1, fcth1);
jcd2.init(cedd2, fcth2);
bw.write(cedd1.getDistance(cedd2) + ";" + fcth1.getDistance(fcth2) + ";" + jcd1.getDistance(jcd2) + "\n");
}
if (i % 100 == 0) System.out.println(i + " entries processed ... ");
}
bw.close();
}
开发者ID:fish2000，
项目名称:lire，
代码行数:50，
代码来源:TestWang.java
示例10: testExtraction
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import net.semanticmetadata.lire.imageanalysis.CEDD; //导入依赖的package包/类
public void testExtraction() {
Extractor e = new Extractor();
e.setFileList(new File("imageList.txt"));
e.setOutFile(new File("out.data"));
e.addFeature(new CEDD());
e.run();
// do it ...
byte[] tempInt = new byte[4];
int tmp, tmpFeature;
byte[] temp = new byte[2064];
File inputFile = new File("out.data");
try {
BufferedInputStream in = new BufferedInputStream(new GZIPInputStream(new FileInputStream("out.data")));
// read file hashFunctionsFileName length:
while (in.read(tempInt, 0, 4) > 0) {
tmp = SerializationUtils.toInt(tempInt);
// read file hashFunctionsFileName:
in.read(temp, 0, tmp);
String filename = new String(temp, 0, tmp);
// normalize Filename to full path.
filename = inputFile.getCanonicalPath().substring(0, inputFile.getCanonicalPath().lastIndexOf(inputFile.getName())) + filename;
System.out.print(filename);
while ((tmpFeature = in.read()) < 255) {
System.out.print(", " + tmpFeature);
LireFeature f = (LireFeature) Class.forName(Extractor.features[tmpFeature]).newInstance();
// byte[] length ...
in.read(tempInt, 0, 4);
tmp = SerializationUtils.toInt(tempInt);
// read feature byte[]
in.read(temp, 0, tmp);
f.setByteArrayRepresentation(temp, 0, tmp);
// test f ...
LireFeature f2 = (LireFeature) Class.forName(Extractor.features[tmpFeature]).newInstance();
f2.extract(ImageIO.read(new File(filename)));
System.out.println("f2.getDistance(f) = " + f2.getDistance(f));
}
System.out.println();
}
} catch (Exception ex) {
ex.printStackTrace();
}
}
开发者ID:fish2000，
项目名称:lire，
代码行数:45，
代码来源:ExtractorTest.java
示例11: prepareFeaturesAndBuilders
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import net.semanticmetadata.lire.imageanalysis.CEDD; //导入依赖的package包/类
public static void prepareFeaturesAndBuilders(Set<String> features, Map<String, DocumentBuilder> builders, Map<String, LireFeature> lireFeatures) {
if (features.contains(ACC)) {
builders.put(ACC, DocumentBuilderFactory.getAutoColorCorrelogramDocumentBuilder());
lireFeatures.put(ACC, new AutoColorCorrelogram());
}
if (features.contains(CEDD)) {
builders.put(CEDD, DocumentBuilderFactory.getCEDDDocumentBuilder());
lireFeatures.put(CEDD, new CEDD());
}
if (features.contains(CH)) {
builders.put(CH, DocumentBuilderFactory.getColorHistogramDocumentBuilder());
lireFeatures.put(CH, new SimpleColorHistogram());
}
if (features.contains(CL)) {
builders.put(CL, DocumentBuilderFactory.getColorLayoutBuilder());
lireFeatures.put(CL, new ColorLayout());
}
if (features.contains(EH)) {
builders.put(EH, DocumentBuilderFactory.getEdgeHistogramBuilder());
lireFeatures.put(EH, new EdgeHistogram());
}
if (features.contains(FCTH)) {
builders.put(FCTH, DocumentBuilderFactory.getFCTHDocumentBuilder());
lireFeatures.put(FCTH, new FCTH());
}
if (features.contains(GABOR)) {
builders.put(GABOR, DocumentBuilderFactory.getGaborDocumentBuilder());
lireFeatures.put(GABOR, new Gabor());
}
if (features.contains(HCEDD)) {
builders.put(HCEDD, DocumentBuilderFactory.getHashingCEDDDocumentBuilder());
lireFeatures.put(HCEDD, new CEDD());
}
if (features.contains(JCD)) {
builders.put(JCD, DocumentBuilderFactory.getJCDDocumentBuilder());
lireFeatures.put(JCD, new JCD());
}
if (features.contains(JH)) {
builders.put(JH,DocumentBuilderFactory.getJointHistogramDocumentBuilder());
lireFeatures.put(JH, new JointHistogram());
}
if (features.contains(JCH)) {
builders.put(JCH, DocumentBuilderFactory.getJpegCoefficientHistogramDocumentBuilder());
lireFeatures.put(JCH, new JpegCoefficientHistogram());
}
if (features.contains(LL)) {
builders.put(LL, DocumentBuilderFactory.getLuminanceLayoutDocumentBuilder());
lireFeatures.put(LL, new LuminanceLayout());
}
if (features.contains(OH)) {
builders.put(OH, DocumentBuilderFactory.getOpponentHistogramDocumentBuilder());
lireFeatures.put(OH, new OpponentHistogram());
}
if (features.contains(PHOG)) {
builders.put(PHOG, DocumentBuilderFactory.getPHOGDocumentBuilder());
lireFeatures.put(PHOG, new PHOG());
}
if (features.contains(SC)) {
builders.put(SC, DocumentBuilderFactory.getScalableColorBuilder());
lireFeatures.put(SC, new ScalableColor());
}
if (features.contains(TAMURA)) {
builders.put(TAMURA, DocumentBuilderFactory.getTamuraDocumentBuilder());
lireFeatures.put(TAMURA, new Tamura());
}
}
开发者ID:jinhuang，
项目名称:melody-join，
代码行数:67，
代码来源:GenerateUtil.java
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