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cmodule TestTextRecognizers > DynSingleFunctionWithPrintLog {
replace Recognizer with IF1>.
S scoreModule;
long maxMBs = 256; // save dat memory
transient L results = syncList();
new Best best;
transient long dataSize;
transient new L images;
transient JProgressBar progressBar;
// result for recognizer
srecord noeq Result(
S recognizerName, Recognizer recognizer,
double score, Map individualScores) {}
// individual test result
srecord noeq TestResult(
TestImage test,
L linesFound
) {
void showDetails { infoBox("Detaillls"); }
}
srecord noeq TestImage(S caseName, BufferedImage img, TreeSet expectedLines) {
toString { ret caseName; }
}
bool spaceToSpare() { ret toMB(dataSize) < maxMBs; }
void doIt {
prepare();
results.clear();
dm_rcall clear(scoreModule);
_testRecognizer('ocr_recognizeMultiLine_scored, lambda1 ocr_recognizeMultiLine_scored);
}
void prepare runInQAndWait {
if (empty(images)) loadImages();
setField(scoreModule := dm_loadOrActivateScoreMatrixModule(scoreModule));
}
Result scoreRecognizer(S name, Recognizer seg) {
Result result = new(name, seg, 0, new LinkedHashMap);
try {
new Scorer scorer;
for (TestImage img : images) {
L out = seg.get(img.img);
TreeSet outSet = new(map(methodLambda0 text, out));
Set found = setIntersection(outSet, img.expectedLines);
//Set extra = setMinusSet(outSet, img.expectedLines);
double score = doubleRatio(l(found), l(img.expectedLines));
print("Score: " + score);
scorer.addZeroToOne(score);
result.individualScores.put(new TestResult(img, out), score);
}
print(scorer);
result.score = scorer.score();
} catch print e {
print("RECOGNIZER TOTAL FAIL");
}
ret result;
}
void loadImages {
File dir = javaxDataDir("Screen shots for text recognition");
L in = asLinkedList(listFilesWithExtension(".expectedlines", dir));
while (nempty(in)) {
if (!spaceToSpare())
break with print("Out of space (" + toM(dataSize) + " MB used), skipping " + nImages(in));
File f = popFirst(in);
LS lines = quotedOnly_unquote(tlft(loadTextFile(f)));
if (empty(lines)) continue;
File fImg = imageFileWithSameBaseName(f);
if (fImg == null) continue;
pcall {
BufferedImage img = loadImage2(fImg);
images.add(new TestImage(fileName(fImg), img, new TreeSet(lines)));
dataSize += bufferedImageDataSize(img);
print("Have " + nImages(images) + ", data size: " + toM(dataSize) + " MB");
}
}
print("Loading done");
}
start { setFunctionName("Run tests"); }
visual centerAndSouthWithMargin(super, withMargin(progressBar = jProgressBarWithText()));
void _testRecognizer(S name, Recognizer rec) {
prepare();
Result r = scoreRecognizer(name, rec);
print("Score for " + name + ": " + r.score);
results.add(r);
if (best.put(name, r.score))
print("NEW BEST!");
change();
dm_rcall add(scoreModule,
dm_rcall newEntry(scoreModule, r.recognizerName, r.score, r.individualScores));
}
// API
void testRecognizer(S name, virtual Recognizer _rec) {
_testRecognizer(name, img -> (L) quickImport(callF(_rec, img)));
}
}