public void testParallelMAP() throws IOException {
int maxHits = 1000;
IndexReader reader = IndexReader.open(FSDirectory.open(new File(indexPath)));
ParallelImageSearcher searcher;
searcher = new ParallelImageSearcher(maxHits, CEDD.class, DocumentBuilder.FIELD_NAME_CEDD);
Pattern p = Pattern.compile("([0-9]+).jpg");
double map = 0;
double errorRate = 0d;
for (int i = 0; i < sampleQueries.length; i++) {
int id = sampleQueries[i];
// System.out.println("id = " + id + ": " + "("+i+")");
String file = testExtensive + "/" + id + ".jpg";
String[] files = {
id + ".jpg", (id + 1) + ".jpg", (id + 2) + ".jpg", (id + 3) + ".jpg", (id + 4) + ".jpg"
};
ImageSearchHits[] hits = searcher.search(findDocs(reader, files), reader);
for (int k = 0; k < hits.length; k++) {
int currentID = id + k;
ImageSearchHits h = hits[k];
int goodOnes = 0;
double avgPrecision = 0;
for (int j = 0; j < h.length(); j++) {
Document d = h.doc(j);
String hitsId = d.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0];
Matcher matcher = p.matcher(hitsId);
if (matcher.find()) hitsId = matcher.group(1);
else fail("Did not get the number ...");
int testID = Integer.parseInt(hitsId);
if ((testID != currentID)
&& ((int) Math.floor(id / 100) == (int) Math.floor(testID / 100))) {
goodOnes++;
// Only if there is a change in recall
avgPrecision += (double) goodOnes / (double) (j + 1);
// System.out.print("x");
} else {
if (j == 1) { // error rate
errorRate++;
}
}
// System.out.print(" (" + testID + ") ");
}
assertTrue(goodOnes > 0);
avgPrecision = avgPrecision / goodOnes;
assertTrue(avgPrecision > 0);
map += avgPrecision;
// System.out.println(" " + avgPrecision + " (" + map / (i + 1) + ")");
}
}
assertTrue(sampleQueries.length > 0);
map = map / sampleQueries.length;
errorRate = errorRate / sampleQueries.length;
System.out.println("map = " + map);
System.out.println("errorRate = " + errorRate);
}
public void testRerankFilters() throws IOException {
int queryDocID = (int) (Math.random() * 10000);
IndexReader reader = DirectoryReader.open(FSDirectory.open(new File("index-large")));
// select one feature for the large index:
int featureIndex = 4;
int count = 0;
long ms = System.currentTimeMillis();
ImageSearchHits hits = searchers[featureIndex].search(reader.document(queryDocID), reader);
RerankFilter rerank = new RerankFilter(featureClasses[0], DocumentBuilder.FIELD_NAME_CEDD);
LsaFilter lsa = new LsaFilter(featureClasses[0], DocumentBuilder.FIELD_NAME_CEDD);
FileUtils.saveImageResultsToPng(
"GeneralTest_rerank_0_old",
hits,
reader.document(queryDocID).getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0]);
hits = rerank.filter(hits, reader.document(queryDocID));
FileUtils.saveImageResultsToPng(
"GeneralTest_rerank_1_new",
hits,
reader.document(queryDocID).getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0]);
hits = lsa.filter(hits, reader.document(queryDocID));
FileUtils.saveImageResultsToPng(
"GeneralTest_rerank_2_lsa",
hits,
reader.document(queryDocID).getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0]);
}
public void tttestMAPLocalFeatureHistogram() throws IOException {
int maxSearches = 200;
int maxHits = 100;
IndexReader reader = IndexReader.open(FSDirectory.open(new File(indexPath)));
IndexSearcher is = new IndexSearcher(reader);
ImageSearcher searcher;
// searcher = new SiftLocalFeatureHistogramImageSearcher(maxHits);
searcher = ImageSearcherFactory.createColorHistogramImageSearcher(maxHits);
// searcher = ImageSearcherFactory.createCEDDImageSearcher(maxHits);
// searcher = ImageSearcherFactory.createFCTHImageSearcher(maxHits);
Pattern p = Pattern.compile("\\\\\\d+\\.jpg");
double map = 0;
for (int i = 0; i < sampleQueries.length; i++) {
int id = sampleQueries[i];
System.out.print("id = " + id + ": ");
String file = testExtensive + "/" + id + ".jpg";
ImageSearchHits hits = searcher.search(findDoc(reader, id + ".jpg"), reader);
int goodOnes = 0;
double avgPrecision = 0;
for (int j = 0; j < hits.length(); j++) {
Document d = hits.doc(j);
String hitsId = d.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0];
Matcher matcher = p.matcher(hitsId);
if (matcher.find()) hitsId = hitsId.substring(matcher.start() + 1, hitsId.lastIndexOf("."));
else fail("Did not get the number ...");
int testID = Integer.parseInt(hitsId);
// System.out.print(". " + hitsId + "/" +
// d.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0]+ " ");
if ((int) Math.floor(id / 100) == (int) Math.floor(testID / 100)) {
goodOnes++;
System.out.print("x");
} else {
System.out.print("o");
}
// System.out.print(" (" + testID + ") ");
avgPrecision += (double) goodOnes / (double) (j + 1);
}
avgPrecision = avgPrecision / hits.length();
map += avgPrecision;
System.out.println(" " + avgPrecision + " (" + map / (i + 1) + ")");
}
map = map / sampleQueries.length;
System.out.println("map = " + map);
}
public void testSearchIndexLarge() throws IOException {
for (int i = 0; i < 10; i++) {
int queryDocID = (int) (Math.random() * 800);
// queryDocID = 877 * (i + 1);
IndexReader reader = DirectoryReader.open(FSDirectory.open(new File("index-large")));
// select one feature for the large index:
int featureIndex = 13;
int count = 0;
long ms = System.currentTimeMillis();
ImageSearchHits hits = searchers[featureIndex].search(reader.document(queryDocID), reader);
for (int j = 0; j < hits.length(); j++) {
String fileName = hits.doc(j).getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0];
System.out.println(hits.score(j) + ": \t" + fileName);
}
// FileUtils.saveImageResultsToHtml("GeneralTest_testSearchIndexLarge_", hits,
// reader.document(10).getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0]);
FileUtils.saveImageResultsToPng(
"GeneralTest_testSearchIndexLarge_" + i + "_",
hits,
reader.document(queryDocID).getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0]);
}
}
public void tttestGetSampleQueries() {
for (int i = 0; i < 200; i++) {
System.out.print((int) (Math.random() * 1000) + ", ");
}
}
public void computeMAP(ImageSearcher searcher, String prefix, IndexReader reader)
throws IOException {
Pattern p = Pattern.compile("([0-9]+).jpg");
double map = 0;
double errorRate = 0d;
double precision10 = 0d;
double[] pr10cat = new double[10];
double[] pr10cnt = new double[10];
for (int i = 0; i < pr10cat.length; i++) {
pr10cat[i] = 0d;
pr10cnt[i] = 0d;
}
long sum = 0, ms = 0;
for (int i = 0; i < sampleQueries.length; i++) {
int id = sampleQueries[i];
String file = testExtensive + "/" + id + ".jpg";
ms = System.currentTimeMillis();
ImageSearchHits hits = searcher.search(findDoc(reader, id + ".jpg"), reader);
sum += (System.currentTimeMillis() - ms);
int goodOnes = 0;
double avgPrecision = 0d;
double precision10temp = 0d;
int countResults = 0;
for (int j = 0; j < hits.length(); j++) {
Document d = hits.doc(j);
String hitsId = d.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0];
Matcher matcher = p.matcher(hitsId);
if (matcher.find()) hitsId = matcher.group(1);
else fail("Did not get the number ...");
int testID = Integer.parseInt(hitsId);
if (testID != id) countResults++;
if ((testID != id) && ((int) Math.floor(id / 100) == (int) Math.floor(testID / 100))) {
goodOnes++;
// Only if there is a change in recall
avgPrecision += (double) goodOnes / (double) countResults;
// System.out.print("x");
if (j <= 10) {
precision10temp += 1d;
}
} else {
if (j == 1) { // error rate
errorRate++;
}
}
} // end for loop iterating results.
// if (avgPrecision<=0) {
// System.out.println("avgPrecision = " + avgPrecision);
// System.out.println("goodOnes = " + goodOnes);
// }
assertTrue("Check if average precision is > 0", avgPrecision > 0);
assertTrue("Check if goodOnes is > 0", goodOnes > 0);
avgPrecision = avgPrecision / goodOnes;
precision10 += precision10temp / 10d;
// precision @ 10 for each category ...
pr10cat[(int) Math.floor(id / 100)] += precision10temp / 10d;
pr10cnt[(int) Math.floor(id / 100)] += 1d;
map += avgPrecision;
}
map = map / sampleQueries.length;
errorRate = errorRate / sampleQueries.length;
precision10 = precision10 / sampleQueries.length;
System.out.print(prefix + "\t");
System.out.print(String.format("%.5f", map) + '\t');
System.out.print(String.format("%.5f", precision10) + '\t');
System.out.print(String.format("%.5f", errorRate) + '\t');
// precision@10 per category
for (int i = 0; i < pr10cat.length; i++) {
double v = 0;
if (pr10cnt[i] > 0) v = pr10cat[i] / pr10cnt[i];
// System.out.print(i + ": ");
System.out.printf("%.5f\t", v);
}
System.out.printf("%2.3f\t", (double) sum / (double) sampleQueries.length);
System.out.println();
}
