/** Loads index from one or more file(s) named filename, possibly
adding the proper extensions. */
int load_index(char *filename, void **index){
twcsa *wcsa;
wcsa = (twcsa *) malloc (sizeof (twcsa) * 1);
void *Index = (void *) wcsa;
int error;
wcsa->text = NULL;
// Inicializes the arrays used to detect if a char is valid or not.
StartValid();
/** 1 ** loads the vocabulary of words. zonewords, words vector, nwords */
loadVocabulary (Index, filename);
{
uint totaltmp=0; //words
totaltmp += ((((wcsa->nwords+1)* (wcsa->wordsData.elemSize))+W-1) /W) * (sizeof(uint)); //the pointers
totaltmp += wcsa->wordsData.wordsZoneMem.size * sizeof(byte); //the characters of the words.
fprintf(stderr,"\n\t*Loaded Vocabulary of text: %u words, %d bytes\n", wcsa->nwords, totaltmp);
}
/** 2 ** Loads some configuration constants: sourceTextSize, maxNumOccs */
loadIndexConstants(Index, filename);
fprintf(stderr,"\t*Loaded configuration constants: %lu bytes\n", (ulong) (2 * sizeof(uint ) + sizeof(ulong)) );
#ifdef FREQ_VECTOR_AVAILABLE
/** 3 ** Loading freq vector */
{uint size; //the size of the vocabulary in #ofwords =>> already init in "loadvocabulary"
loadFreqVector(&(wcsa->freqs), &size, (char *)filename);
fprintf(stderr,"\t*Loaded freq vector: %d bytes\n", wcsa->nwords * sizeof(uint) );
}
#endif
/** 4 ** Loading Compressed Structure of posting lists (il) */
error = load_il((char*) filename,&(wcsa->ils));
IFERRORIL(error);
uint sizeil;
error = size_il(wcsa->ils,&sizeil);
IFERRORIL(error);
fprintf(stderr,"\n \t*loaded compressed inverted lists structure: %d bytes\n", sizeil);
/** 5 ** Loading the Representation of the source text */
load_representation( &wcsa->ct,filename);
{
uint size;
size_representation(wcsa->ct, &size);
fprintf(stderr,"\n\t*Loaded (compressed) representation of the source Text: %u bytes\n", size);
}
(*index) = Index;
return 0;
}
ARPAPlugin::ARPAPlugin(Configuration* config, ContextTracker* ct)
: Plugin(config,
ct,
"ARPAPlugin",
"ARPAPlugin, a plugin relying on an ARPA language model",
"ARPAPlugin, long description." )
{
Value value;
try {
value = config->get(LOGGER);
logger << setlevel(value);
logger << INFO << "LOGGER: " << value << endl;
} catch (Configuration::ConfigurationException ex) {
logger << WARN << "Caught ConfigurationException: " << ex.what() << endl;
}
try {
value = config->get(VOCABFILENAME);
logger << INFO << "VOCABFILENAME: " << value << endl;
vocabFilename = value;
} catch (Configuration::ConfigurationException ex) {
logger << ERROR << "Caught fatal ConfigurationException: " << ex.what() << endl;
throw PresageException("Unable to init " + name + " predictive plugin.");
}
try {
value = config->get(ARPAFILENAME);
logger << INFO << "ARPAFILENAME: " << value << endl;
arpaFilename = value;
} catch (Configuration::ConfigurationException ex) {
logger << ERROR << "Caught fatal ConfigurationException: " << ex.what() << endl;
throw PresageException("Unable to init " + name + " predictive plugin.");
}
try {
value = config->get(TIMEOUT);
logger << INFO << "TIMEOUT: " << value << endl;
timeout = atoi(value.c_str());
} catch (Configuration::ConfigurationException ex) {
logger << ERROR << "Caught fatal ConfigurationException: " << ex.what() << endl;
throw PresageException("Unable to init " + name + " predictive plugin.");
}
loadVocabulary();
createARPATable();
}
int main(int argc, char **argv)
{
std::setlocale(LC_ALL, "ru_RU.UTF-8");
auto vocabulary = loadVocabulary(argv[1]);
token_t root = std::make_tuple( 0, std::wstring(L"*root*"),
-1, std::wstring(L"rroot"));
auto sentence = sentence_t(1, root);
std::wstring line;
while (std::getline(std::wcin, line)) {
line.erase(std::remove(line.begin(), line.end(), L'\n'), line.end());
std::transform(line.begin(), line.end(), line.begin(), std::towlower);
std::wistringstream stream(line);
std::vector<std::wstring> rawSentence;
std::copy(std::istream_iterator<std::wstring, wchar_t>(stream),
std::istream_iterator<std::wstring, wchar_t>(),
std::back_inserter(rawSentence));
if (rawSentence.empty()) {
if (sentence.size() > 1) {
printPairs(vocabulary, sentence);
}
sentence = sentence_t(1, root);
}
else {
int index = std::stoi(rawSentence[0]);
auto tokenWord = rawSentence[1];
int parentIndex = std::stoi(rawSentence[rawSentence.size() - 2]);
auto relation = rawSentence[rawSentence.size() - 1];
sentence.push_back(std::make_tuple(index, tokenWord,
parentIndex, relation));
}
}
if (sentence.size() > 1) {
printPairs(vocabulary, sentence);
}
return 0;
}
bool BowVocabulary::computeVocabulary(Mat& vocabularyOut, const string& vocabularyImgsList, bool outputAnalyzedImages, bool useOnlyTargetRegions) {
if (loadVocabulary(vocabularyOut)) {
return true;
}
_bowTrainer->clear();
ifstream imgsList(vocabularyImgsList);
if (imgsList.is_open()) {
vector<string> fileNames;
string filename;
while (getline(imgsList, filename)) {
fileNames.push_back(filename);
}
int numberOfFiles = fileNames.size();
cout << " -> Building vocabulary with " << numberOfFiles << " images..." << endl;
PerformanceTimer performanceTimer;
performanceTimer.start();
int descriptorsOriginalMatrixType = CV_32FC1;
//#pragma omp parallel for schedule(dynamic)
for (int i = 0; i < numberOfFiles; ++i) {
Mat imagePreprocessed;
string imageFilename = IMGS_DIRECTORY + fileNames[i] + IMAGE_TOKEN;
if (_imagePreprocessor->loadAndPreprocessImage(imageFilename, imagePreprocessed, CV_LOAD_IMAGE_GRAYSCALE, false)) {
Mat outputImage;
if (outputAnalyzedImages) {
outputImage = imagePreprocessed.clone();
}
if (useOnlyTargetRegions) {
vector<Mat> masks;
ImageUtils::retriveTargetsMasks(IMGS_DIRECTORY + fileNames[i], masks);
for (size_t maskIndex = 0; maskIndex < masks.size(); ++maskIndex) {
vector<KeyPoint> keypoints;
Mat targetMask = masks[maskIndex];
_featureDetector->detect(imagePreprocessed, keypoints, targetMask);
//_featureDetector->detect(imagePreprocessed, keypoints, masks[maskIndex]);
if (keypoints.size() > 3) {
Mat descriptors;
_descriptorExtractor->compute(imagePreprocessed, keypoints, descriptors);
descriptorsOriginalMatrixType = descriptors.type();
descriptors.convertTo(descriptors, CV_32FC1);
if (descriptors.rows > 0) {
//#pragma omp critical
_bowTrainer->add(descriptors);
}
if (outputAnalyzedImages) {
cv::drawKeypoints(outputImage, keypoints, outputImage);
}
}
}
} else {
vector<KeyPoint> keypoints;
_featureDetector->detect(imagePreprocessed, keypoints);
if (keypoints.size() > 3) {
Mat descriptors;
_descriptorExtractor->compute(imagePreprocessed, keypoints, descriptors);
descriptorsOriginalMatrixType = descriptors.type();
descriptors.convertTo(descriptors, CV_32FC1);
if (descriptors.rows > 0) {
//#pragma omp critical
_bowTrainer->add(descriptors);
}
if (outputAnalyzedImages) {
cv::drawKeypoints(outputImage, keypoints, outputImage);
}
}
}
if (outputAnalyzedImages) {
stringstream imageOutputFilename;
imageOutputFilename << VOCABULARY_BUILD_OUTPUT_DIRECTORY << fileNames[i] << FILENAME_SEPARATOR << _vocabularyFilename << IMAGE_OUTPUT_EXTENSION;
imwrite(imageOutputFilename.str(), outputImage);
}
}
}
vocabularyOut = _bowTrainer->cluster();
saveVocabulary(vocabularyOut);
vocabularyOut.convertTo(vocabularyOut, descriptorsOriginalMatrixType);
_bowImgDescriptorExtractor->setVocabulary(vocabularyOut);
cout << " -> Finished building vocabulary with " << vocabularyOut.rows << " word size in " << performanceTimer.getElapsedTimeFormated() << "\n" << endl;
_bowTrainer->clear();
return true;
}
return false;
}
/** ***********************************************************************************
CONSTRUCTION OF THE INDEX, from a given text file "inbasename".
***********************************************************************************/
int build_WordIndex_from_postings (char *inbasename, char *build_options, void **index){
twcsa *wcsa;
wcsa = (twcsa *) malloc (sizeof (twcsa) * 1);
*index = wcsa;
void *Index = *index;
wcsa->text = NULL;
double t0, t1;
t0 = getSYSTimeBF();
/** processing the parameters of the index:: blockSize, and q-gram-len (q) */
{
char delimiters[] = " =;";
int j,num_parameters;
char ** parameters;
if (build_options != NULL) {
parse_parameters_II(build_options,&num_parameters, ¶meters, delimiters);
for (j=0; j<num_parameters;j++) {
if ((strcmp(parameters[j], "blocksize") == 0 ) && (j < num_parameters-1) ) {
//wcsa->blockSize = atoi(parameters[j+1]) * BLOCK_MULTIPLIER;
j++;
}
else if ((strcmp(parameters[j], "qgram") == 0 ) && (j < num_parameters-1) ) {
//wcsa->q =atoi(parameters[j+1]);
j++;
}
else if ((strcmp(parameters[j], "path2repaircompressor") == 0 ) && (j < num_parameters-1) ) {
//strcpy(path2repaircompressor,parameters[j+1]);
j++;
}
}
free_parameters_II(num_parameters, ¶meters);
}
//fprintf(stderr,"\n Parameters of II-blocks:: *basename = %s, blocksize = %d, q= %d",inbasename,wcsa->blockSize,wcsa->q);
//fprintf(stderr,"\n \t path2repaircompressor= %s\n",path2repaircompressor);
}
wcsa->freqs=NULL;
/** 0 ** Inicializes the arrays used to detect if a char is valid or not. **/
StartValid();
/** 1 ** loads the vocabulary of words. zonewords, words vector, nwords */
t1 = getSYSTimeBF();
loadVocabulary (Index, inbasename);
{
uint totaltmp=0; //words
totaltmp += ((((wcsa->nwords+1)* (wcsa->wordsData.elemSize))+W-1) /W) * (sizeof(uint)); //the pointers
totaltmp += wcsa->wordsData.wordsZoneMem.size * sizeof(byte); //the characters of the words.
fprintf(stderr,"\n\t*Loaded Vocabulary: %u words, %d bytes", wcsa->nwords, totaltmp);
}
fprintf(stderr,"\n\t... Done: %2.2f seconds (sys+usr t)\n", getSYSTimeBF() -t1);
/** 2 ** Loads some configuration constants: sourceTextSize, maxNumOccs */
loadIndexConstants(Index, inbasename);
fprintf(stderr,"\n\t*Loaded configuration constants: %lu bytes\n", (ulong) (2 * sizeof(uint ) + sizeof(ulong)) );
/*
//shows the words parsed...
{
int i;
fprintf(stderr,"\n\n Despues de sorting ...."); fflush(stderr);
unsigned char *str;
uint len;
// for (i = 0; i<100; i++) {
for (i = 0; ((uint)i)<wcsa->nwords; i++) {
if ((i<10) || (((uint)i) >wcsa->nwords-5)) {
getWord(wcsa,i,&str,&len);
fprintf(stderr,"\n freq[%6d]=%6u ",i, wcsa->freqs[i]);
fprintf(stderr,", words[%6d] = ",i);
printWord(str,len);
}
}
}
t1 = getSYSTimeBF();
fprintf(stderr,"\n %u words have been loaded", wcsa->nwords);
fprintf(stderr,"\n... Done: %2.2f seconds (sys+usr time)\n", getSYSTimeBF() -t1);
*/
#ifdef FREQ_VECTOR_AVAILABLE
/** 3 ** Loading freq vector */
{uint size; //the size of the vocabulary in #ofwords =>> already init in "loadvocabulary"
loadFreqVector(&(wcsa->freqs), &size, (char *)inbasename);
fprintf(stderr,"\t*Loaded freq vector: %d bytes\n", wcsa->nwords * sizeof(uint) );
}
#endif
/** 5 ** Loading the Representation of the source text */
load_representation( &wcsa->ct,inbasename);
{
uint size;
size_representation(wcsa->ct, &size);
fprintf(stderr,"\n\t*Loaded (compressed) representation of the source Text: %u bytes\n", size);
}
/** 4 ** Loading the uncompressed posting lists previously created by the indexer. */
//Preparing a "list of occurrences" that will be later indexed through build_il() **
uint *source_il, sourcelen_il;
uint maxPost ; //just to check it loads OK ;)
ulong source_il_ulong;
t1 = getSYSTimeBF();
fprintf(stderr,"\n... Loading the posting lists from disk \n"); fflush(stderr);
load_posting_lists_from_file(&maxPost, &source_il_ulong, &source_il, inbasename);
/** FOR CIKM ILISTS_DO NOT STILL SUPPORT an ULONG HERE **/
sourcelen_il = (uint)source_il_ulong;
fprintf(stderr,"\n there are %lu uints in all the lists of occurrences: size [uint32] = %lu bytes.\n ",
(ulong)sourcelen_il - wcsa->nwords -2, (ulong) sizeof(uint)*(sourcelen_il - wcsa->nwords -2));
fprintf(stderr,"\n MAXPOST loaded = %u, source_il_len = %u \n\n",maxPost,sourcelen_il);
fprintf(stderr,"\n NLISTS loaded = %u, MAXPOSTS_sET \n\n",source_il[0],source_il[1]);
t1 = getSYSTimeBF();
fprintf(stderr,"\n**... entering BUILD INVERTED LIST REPRESENTATION************!! \n\n"); fflush(stderr);
/*
{ char fileposts[2048];
sprintf(fileposts,"%s.%s.%u","postinglistsXX","posts", getpid());
FILE *ff = fopen(fileposts,"w");
fwrite(source_il, sizeof(uint), sourcelen_il,ff);
fclose(ff);
}
*/
//compressing the lists of occurrences and setting wcsa->ils
int error = build_il(source_il, sourcelen_il, build_options, &(wcsa->ils)); //source_il is freed inside!.
IFERRORIL(error);
fprintf(stderr,"\n... Done: %2.2f seconds (sys+usr time)\n", getSYSTimeBF() -t1);
#ifndef FREQ_VECTOR_AVAILABLE //<----- not needed in advance, only during construction
free(wcsa->freqs);
#endif
ulong sizeI;
index_size(*index, &sizeI);
fflush(stderr); fflush(stdout);
fprintf(stderr,"\n ---------------------------------------------");
fprintf(stderr,"\n The index has already been built: %lu bytes!!\n", sizeI);
fprintf(stderr,"\n... Done: OVERALL TIME = %2.2f seconds (sys+usr time)", getSYSTimeBF() -t0);
fprintf(stderr,"\n ---------------------------------------------\n\n\n");
fflush(stderr);
fflush(stdout);
return 0;
}