core.cpp 29.2 KB
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752
/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
 * Copyright 2012 The MITRE Corporation                                      *
 *                                                                           *
 * Licensed under the Apache License, Version 2.0 (the "License");           *
 * you may not use this file except in compliance with the License.          *
 * You may obtain a copy of the License at                                   *
 *                                                                           *
 *     http://www.apache.org/licenses/LICENSE-2.0                            *
 *                                                                           *
 * Unless required by applicable law or agreed to in writing, software       *
 * distributed under the License is distributed on an "AS IS" BASIS,         *
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  *
 * See the License for the specific language governing permissions and       *
 * limitations under the License.                                            *
 * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */

#include <openbr/openbr_plugin.h>

#include "bee.h"
#include "common.h"
#include "qtutils.h"
#include "../plugins/openbr_internal.h"

namespace br {

void noDelete(Transform *target)
{
    (void) target;
}

struct AlgorithmCore
{
    enum CompareMode
    {
        None,
        DistanceCompare,
        TransformCompare,
    };

    QSharedPointer<Transform> transform;
    QSharedPointer<Transform> simplifiedTransform;
    QSharedPointer<Transform> comparison;
    QSharedPointer<Distance> distance;
    QSharedPointer<Transform> progressCounter;

    AlgorithmCore(const QString &name)
    {
        if (name == "algorithm") {
            this->name = Globals->algorithm;
            init(Globals->algorithm);
        } else {
            this->name = name;
            init(name);
        }

        progressCounter = QSharedPointer<Transform>(Transform::make("ProgressCounter", NULL));
    }

    bool isClassifier() const
    {
        return comparison.isNull();
    }

    void train(const File &input, const QString &model)
    {
        qDebug("Training on %s%s", qPrintable(input.flat()),
               model.isEmpty() ? "" : qPrintable(" to " + model));

        QScopedPointer<Transform> trainingWrapper(br::wrapTransform(transform.data(), "Stream(readMode=DistributeFrames)"));
        TemplateList data(TemplateList::fromGallery(input));

        if (transform.isNull()) qFatal("Null transform.");
        qDebug("%d Training Files", data.size());

        Globals->startTime.start();

        qDebug("Training Enrollment");
        trainingWrapper->train(data);

        if (!distance.isNull()) {
            if (Globals->crossValidate > 0)
                for (int i=data.size()-1; i>=0; i--) if (data[i].file.get<bool>("allPartitions",false)) data.removeAt(i);

            qDebug("Projecting Enrollment");
            trainingWrapper->projectUpdate(data,data);

            qDebug("Training Comparison");
            distance->train(data);
        }

        if (!model.isEmpty()) {
            qDebug("Storing %s", qPrintable(QFileInfo(model).fileName()));
            store(model);
        }

        qDebug("Training Time: %s", qPrintable(QtUtils::toTime(Globals->startTime.elapsed()/1000.0f)));

        simplifyTransform();
    }

    void simplifyTransform()
    {
        bool newTForm = false;
        Transform *temp = transform->simplify(newTForm);
        if (newTForm)
            simplifiedTransform = QSharedPointer<Transform>(temp);
        else
            simplifiedTransform = QSharedPointer<Transform>(temp, noDelete);
    }

    void store(const QString &model) const
    {
        // Create stream
        QByteArray data;
        QDataStream out(&data, QFile::WriteOnly);

        // Serialize algorithm to stream
        transform->serialize(out);

        qint32 mode = None;
        if (!distance.isNull())
            mode = DistanceCompare;
        else if (!comparison.isNull())
            mode = TransformCompare;

        out << mode;

        if (mode == DistanceCompare)
            distance->serialize(out);

        if (mode == TransformCompare)
            comparison->serialize(out);

        // Compress and save to file
        QtUtils::writeFile(model, data, -1);
    }

    void load(const QString &model)
    {
        // Load from file and decompress
        QByteArray data;
        QtUtils::readFile(model, data, true);

        // Create stream
        QDataStream in(&data, QFile::ReadOnly);

        // Load algorithm
        transform = QSharedPointer<Transform>(Transform::deserialize(in));

        qint32 mode;
        in >> mode;

        if (mode == DistanceCompare) {
            QString distanceDescription;
            in >> distanceDescription;
            distance = QSharedPointer<Distance>(Distance::make(distanceDescription, NULL));
            distance->load(in);
            comparison = QSharedPointer<Transform>(Transform::make("GalleryCompare", NULL));
            comparison->setPropertyRecursive("distance", QVariant::fromValue(distance.data()));
        }
        if (mode == TransformCompare)
            comparison = QSharedPointer<Transform>(Transform::deserialize(in));
    }

    File getMemoryGallery(const File &file) const
    {
        return name + file.baseName() + file.hash() + ".mem";
    }

    void enroll(File input, File gallery = File())
    {
        qDebug("Enrolling %s%s", qPrintable(input.flat()),
               gallery.isNull() ? "" : qPrintable(" to " + gallery.flat()));

        if (gallery.name.isEmpty()) {
            if (input.name.isEmpty()) return;
            else                      gallery = getMemoryGallery(input);
        }

        bool multiProcess = Globals->file.getBool("multiProcess", false);
        bool fileExclusion = false;

        // In append mode, we will exclude any templates with filenames already present in the output gallery
        if (gallery.contains("append") && gallery.exists() ) {
            FileList::fromGallery(gallery,true);
            fileExclusion = true;
        }

        Gallery *temp = Gallery::make(input);
        qint64 total = temp->totalSize();

        Transform *enroll = simplifiedTransform.data();

        if (multiProcess)
            enroll = wrapTransform(enroll, "ProcessWrapper");

        QList<Transform *> stages;
        stages.append(enroll);

        QString outputDesc;
        if (fileExclusion)
            outputDesc = "FileExclusion(" + gallery.flat() + ")+";
        outputDesc.append("GalleryOutput("+gallery.flat()+")");
        stages.append(progressCounter.data());

        QScopedPointer<Transform> pipeline(pipeTransforms(stages));

        QScopedPointer<Transform> stream(wrapTransform(pipeline.data(), "Stream(readMode=StreamGallery, endPoint="+outputDesc+"+DiscardTemplates)"));

        TemplateList data, output;
        data.append(input);
        progressCounter->setPropertyRecursive("totalProgress", QString::number(total));
        stream->projectUpdate(data, output);

        if (multiProcess)
            delete enroll;
    }

    void project(File input, File output)
    {
        qDebug("Projecting %s%s", qPrintable(input.flat()),
               output.isNull() ? "" : qPrintable(" to " + output.flat()));

        QScopedPointer<Gallery> inputGallery(Gallery::make(input));
        QScopedPointer<Gallery> outputGallery(Gallery::make(output));

        bool done;
        do {
            TemplateList templates = inputGallery->readBlock(&done);
            if (!templates.empty())
                templates >> *transform;
            if (!templates.empty())
                outputGallery->writeBlock(templates);
        } while (!done);
    }

    void enroll(TemplateList &data)
    {
        if (transform.isNull()) qFatal("Null transform.");
        data >> *transform;
    }

    void retrieveOrEnroll(const File &file, QScopedPointer<Gallery> &gallery, FileList &galleryFiles)
    {
        if (!file.getBool("enroll") && (QStringList() << "gal" << "mem" << "template").contains(file.suffix())) {
            // Retrieve it
            gallery.reset(Gallery::make(file));
            galleryFiles = gallery->files();
        } else {
            // Was it already enrolled in memory?
            gallery.reset(Gallery::make(getMemoryGallery(file)));
            galleryFiles = gallery->files();
            if (!galleryFiles.isEmpty()) return;

            // Enroll it
            enroll(file);
            gallery.reset(Gallery::make(getMemoryGallery(file)));
            galleryFiles = gallery->files();
        }
    }

    void pairwiseCompare(File targetGallery, File queryGallery, File output)
    {
        qDebug("Pairwise comparing %s and %s%s", qPrintable(targetGallery.flat()),
               qPrintable(queryGallery.flat()),
               output.isNull() ? "" : qPrintable(" to " + output.flat()));

        if (distance.isNull()) qFatal("Null distance.");

        if (queryGallery == ".") queryGallery = targetGallery;

        QScopedPointer<Gallery> t, q;
        FileList targetFiles, queryFiles;
        retrieveOrEnroll(targetGallery, t, targetFiles);
        retrieveOrEnroll(queryGallery, q, queryFiles);

        if (t->files().length() != q->files().length() )
            qFatal("Dimension mismatch in pairwise compare");

        TemplateList queries = q->read();
        TemplateList targets = t->read();

        // Use a single file for one of the dimensions so that the output makes the right size file
        FileList dummyTarget;
        dummyTarget.append(targets[0]);
        QScopedPointer<Output> realOutput(Output::make(output, dummyTarget, queryFiles));

        realOutput->set_blockRows(INT_MAX);
        realOutput->set_blockCols(INT_MAX);
        realOutput->setBlock(0,0);
        for (int i=0; i < queries.length(); i++) {
            float res = distance->compare(queries[i], targets[i]);
            realOutput->setRelative(res, 0,i);
        }
    }

    void deduplicate(const File &inputGallery, const File &outputGallery, const float threshold)
    {
        qDebug("Deduplicating %s to %s with a score threshold of %f", qPrintable(inputGallery.flat()), qPrintable(outputGallery.flat()), threshold);

        if (distance.isNull()) qFatal("Null distance.");

        QScopedPointer<Gallery> i;
        FileList inputFiles;
        retrieveOrEnroll(inputGallery, i, inputFiles);

        TemplateList t = i->read();

        Output *o = Output::make(QString("buffer.tail[selfSimilar,threshold=%1,atLeast=0]").arg(QString::number(threshold)),inputFiles,inputFiles);

        // Compare to global tail output
        distance->compare(t,t,o);

        delete o;

        QString buffer(Globals->buffer);

        QStringList tail = buffer.split("\n");

        // Remove header
        tail.removeFirst();

        QStringList toRemove;
        foreach (const QString &s, tail)
            toRemove.append(s.split(',').at(1));

        QSet<QString> duplicates = QSet<QString>::fromList(toRemove);

        QStringList fileNames = inputFiles.names();

        QList<int> indices;
        foreach (const QString &d, duplicates)
            indices.append(fileNames.indexOf(d));

        std::sort(indices.begin(),indices.end(),std::greater<float>());

        qDebug("\n%d duplicates removed.", indices.size());

        for (int i=0; i<indices.size(); i++)
            inputFiles.removeAt(indices[i]);

        QScopedPointer<Gallery> og(Gallery::make(outputGallery));

        og->writeBlock(inputFiles);
    }

    void compare(File targetGallery, File queryGallery, File output)
    {
        qDebug("Comparing %s and %s%s", qPrintable(targetGallery.flat()),
               qPrintable(queryGallery.flat()),
               output.isNull() ? "" : qPrintable(" to " + output.flat()));

        // Escape hatch for distances that need to operate directly on the gallery files
        if (distance && distance->compare(targetGallery, queryGallery, output))
            return;

        // Are we comparing the same gallery against itself?
        bool selfCompare = targetGallery == queryGallery;

        // Should we use multiple processes to do enrollment/comparison? If not, we just do multi-threading.
        bool multiProcess = Globals->file.getBool("multiProcess", false);

        // In comparing two galleries, we will keep the smaller one in memory, and load the larger one
        // incrementally. If the gallery set is larger than the probe set, we operate in transpose mode
        // i.e. we must transpose our output, to still write the output matrix in row-major order.
        bool transposeMode = false;

        // Is the larger gallery already enrolled? If not, we will enroll those images in-line with their
        // comparison against the smaller gallery (which will be enrolled, and stored in memory).
        bool needEnrollRows = false;

        if (output.exists() && output.get<bool>("cache", false)) return;
        if (queryGallery == ".") queryGallery = targetGallery;

        // To decide which gallery is larger, we need to read both, but at this point we just want the
        // metadata, and don't need the enrolled matrices.
        FileList targetMetadata;
        FileList queryMetadata;

        // Emptyread reads a gallery, and discards any matrices present, keeping only the metadata.
        targetMetadata = FileList::fromGallery(targetGallery, true);
        queryMetadata  = FileList::fromGallery(queryGallery, true);

        // Is the target or query set larger? We will use the larger as the rows of our comparison matrix (and transpose the output if necessary)
        transposeMode = targetMetadata.size() > queryMetadata.size();

        File rowGallery = queryGallery;
        File colGallery = targetGallery;
        qint64 rowSize;

        Gallery *temp;
        if (transposeMode) {
            rowGallery = targetGallery;
            colGallery = queryGallery;
            temp = Gallery::make(targetGallery);
        }
        else
            temp = Gallery::make(queryGallery);

        rowSize = temp->totalSize();
        delete temp;

        // Is the column gallery already enrolled? We keep the enrolled column gallery in memory, and in multi-process
        // mode, every worker process retains a copy of this gallery in memory. When not in multi-process mode, we can
        // simple make sure the enrolled data is stored in a memGallery, but in multi-process mode we save the enrolled
        // data to disk (as a .gal file) so that each worker process can read it without re-doing enrollment.
        File colEnrolledGallery = colGallery;
        QString targetExtension = "mem";

        // If the column gallery is not already of the appropriate type, we need to do something
        if (colGallery.suffix() != targetExtension) {
            // Build the name of a gallery containing the enrolled data, of the appropriate type.
            colEnrolledGallery = colGallery.baseName() + colGallery.hash() + '.' + targetExtension;

            // Check if we have to do real enrollment, and not just convert the gallery's type.
            if (!(QStringList() << "gal" << "template" << "mem").contains(colGallery.suffix()))
                enroll(colGallery, colEnrolledGallery);

            // If the gallery does have enrolled templates, but is not the right type, we do a simple
            // type conversion for it.
            else {
                QScopedPointer<Gallery> readColGallery(Gallery::make(colGallery));
                TemplateList templates = readColGallery->read();
                QScopedPointer<Gallery> enrolledColOutput(Gallery::make(colEnrolledGallery));
                enrolledColOutput->writeBlock(templates);
            }
        }

        // We have handled the column gallery, now decide whehter or not we have to enroll the row gallery.
        if (selfCompare) {
            // For self-comparisons, we just use the already enrolled column set.
            rowGallery = colEnrolledGallery;
        }
        // Otherwise, we will need to enroll the row set. Since the actual comparison is defined via a transform
        // which compares incoming templates against a gallery, we will handle enrollment of the row set by simply
        // building a transform that does enrollment (using the current algorithm), then does the comparison in one
        // step. This way, we don't have to retain the complete enrolled row gallery in memory, or on disk.
        else if (!(QStringList() << "gal" << "mem" << "template").contains(rowGallery.suffix()))
            needEnrollRows = true;

        // At this point, we have decided how we will structure the comparison (either in transpose mode, or not), 
        // and have the column gallery enrolled, and have decided whether or not we need to enroll the row gallery.
        // From this point, we will build a single algorithm that (optionally) does enrollment, then does comparisons
        // and output, optionally using ProcessWrapper to do the enrollment and comparison in separate processes.
        //
        // There are two main components to this algorithm. The first is the (optional) enrollment and then the
        // comparison step (built from a GalleryCompare transform), and the second is the sequential matrix output and
        // progress counting step.
        // After the base algorithm is built, the whole thing will be run in a stream, so that I/O can be handled sequentially.

        // The actual comparison step is done by a GalleryCompare transform, which has a Distance, and a gallery as data.
        // Incoming templates are compared against the templates in the gallery, and the output is the resulting score
        // vector.
        TemplateList tlist = TemplateList::fromGallery(colEnrolledGallery);
        comparison->train(tlist);
        comparison->setPropertyRecursive("galleryName","");

        QString compareRegionDesc;
        QList<Transform *> enrollCompare;
        enrollCompare.append(comparison.data());

        // if we have to enroll the row gallery, add that transform to the list
        if (needEnrollRows)
            enrollCompare.prepend(simplifiedTransform.data());

        Transform *compareRegionBase = pipeTransforms(enrollCompare);
        // If in multi-process mode, wrap the enroll+compare structure in a ProcessWrapper.
        if (multiProcess)
            compareRegionBase = wrapTransform(compareRegionBase, "ProcessWrapper");

        QScopedPointer<Transform> compareRegion(compareRegionBase);

        // At this point, compareRegion is a transform, which optionally does enrollment, then compares the row
        // set against the column set. If in multi-process mode, the enrollment and comparison are wrapped in a 
        // ProcessWrapper transform, and will be transparently run in multiple processes.

        // We also need to add Output and progress counting to the algorithm we are building, so we will assign them to
        // two stages of a pipe.
        QList<Transform *> compareOutput;
        compareOutput.append(compareRegion.data());

        // The output transform takes the metadata memGalleries we set up previously as input, along with the
        // output specification we were passed. Gallery metadata is necessary for some Outputs to function correctly.
        QString outputString = output.flat().isEmpty() ? "Empty" : output.flat();
        QString outputRegionDesc = "Output("+ outputString +"," + targetGallery.flat() +"," + queryGallery.flat() + ","+ QString::number(transposeMode ? 1 : 0) + ")";

        // The ProgressCounter transform will simply provide a display about the number of rows completed.
        compareOutput.append(progressCounter.data());

        // With this, we have set up a transform which (optionally) enrolls templates, compares them
        // against a gallery, and outputs them.
        Transform *pipeline = br::pipeTransforms(compareOutput);

        // Now, we will give that base transform to a stream, which will incrementally read the row gallery
        // and pass the transforms it reads through the base algorithm.
        QScopedPointer<Transform> streamWrapper(br::wrapTransform(pipeline, "Stream(readMode=StreamGallery, endPoint="+outputRegionDesc+"+DiscardTemplates)"));

        // We set up a template containing the rowGallery we want to compare. 
        TemplateList rowGalleryTemplate;
        rowGalleryTemplate.append(Template(rowGallery));
        TemplateList outputGallery;

        // initialize the progress counter
        progressCounter->setPropertyRecursive("totalProgress", QString::number(rowSize));

        // Do the actual comparisons
        streamWrapper->projectUpdate(rowGalleryTemplate, outputGallery);
    }

private:
    QString name;

    // Check if description is either an abbreviation or a model file, if so load it
    bool loadOrExpand(const QString &description)
    {
        // Check if a trained binary already exists for this algorithm,
        // giving priority to local files before defaulting to openbr/share/models/algorithms.
        QFileInfo fileInfo(description);
        if (!fileInfo.exists() || fileInfo.isDir())
            fileInfo = QFileInfo(Globals->sdkPath + "/share/openbr/models/algorithms/" + description);
        if (fileInfo.exists() && !fileInfo.isDir()) {
            const QString filePath = fileInfo.canonicalFilePath();
            qDebug("Loading %s", qPrintable(filePath));
            load(filePath);
            return true;
        }

        // Expand abbreviated algorithms to their full strings
        if (Globals->abbreviations.contains(description)) {
            init(Globals->abbreviations[description]);
            return true;
        }
        return false;
    }

    void init(const QString &description)
    {
        if (loadOrExpand(description)) {
            simplifyTransform();
            return;
        }

        // check if the description is an abbreviation or model file with additional arguments supplied
        File parsed("."+description);
        if (loadOrExpand(parsed.suffix())) {
            applyAdditionalProperties(parsed, transform.data());
            simplifyTransform();
            return;
        }

        const bool compareTransform = description.contains('!');
        QStringList words = QtUtils::parse(description, compareTransform ? '!' : ':');

        if ((words.size() < 1) || (words.size() > 2)) qFatal("Invalid algorithm format.");

        transform = QSharedPointer<Transform>(Transform::make(words[0], NULL));
        simplifyTransform();

        if (words.size() > 1) {
            if (!compareTransform) {
                distance = QSharedPointer<Distance>(Distance::make(words[1], NULL));
                comparison = QSharedPointer<Transform>(Transform::make("GalleryCompare", NULL));
                comparison->setPropertyRecursive("distance", QVariant::fromValue(distance.data()));
            }
            else
                comparison = QSharedPointer<Transform>(Transform::make(words[1], NULL));
        }
    }
};

} // namespace br

using namespace br;

class AlgorithmManager : public Initializer
{
    Q_OBJECT

public:
    static QHash<QString, QSharedPointer<AlgorithmCore> > algorithms;
    static QMutex algorithmsLock;

    void initialize() const {}

    void finalize() const
    {
        algorithms.clear();
    }

    static QSharedPointer<AlgorithmCore> getAlgorithm(const QString &algorithm)
    {
        if (algorithm.isEmpty()) qFatal("No default algorithm set.");

        if (!algorithms.contains(algorithm)) {
            // Some algorithms are recursive, so we need to construct them outside the lock.
            QSharedPointer<AlgorithmCore> algorithmCore(new AlgorithmCore(algorithm));

            algorithmsLock.lock();
            if (!algorithms.contains(algorithm))
                algorithms.insert(algorithm, algorithmCore);
            algorithmsLock.unlock();
        }

        return algorithms[algorithm];
    }
};

QHash<QString, QSharedPointer<AlgorithmCore> > AlgorithmManager::algorithms;
QMutex AlgorithmManager::algorithmsLock;

BR_REGISTER(Initializer, AlgorithmManager)

bool br::IsClassifier(const QString &algorithm)
{
    qDebug("Checking if %s is a classifier", qPrintable(algorithm));
    return AlgorithmManager::getAlgorithm(algorithm)->isClassifier();
}

void br::Train(const File &input, const File &model)
{
    AlgorithmManager::getAlgorithm(model.get<QString>("algorithm"))->train(input, model);
}

void br::Enroll(const File &input, const File &gallery)
{
    AlgorithmManager::getAlgorithm(gallery.get<QString>("algorithm"))->enroll(input, gallery);
}

void br::Project(const File &input, const File &output)
{
    return AlgorithmManager::getAlgorithm(output.get<QString>("algorithm"))->project(input, output);
}

void br::Enroll(TemplateList &tl)
{
    QString alg = tl.first().file.get<QString>("algorithm");
    AlgorithmManager::getAlgorithm(alg)->enroll(tl);
}

void br::Compare(const File &targetGallery, const File &queryGallery, const File &output)
{
    AlgorithmManager::getAlgorithm(output.get<QString>("algorithm"))->compare(targetGallery, queryGallery, output);
}

void br::CompareTemplateLists(const TemplateList &target, const TemplateList &query, Output *output)
{
    QString alg = output->file.get<QString>("algorithm");
    QSharedPointer<Distance> dist = Distance::fromAlgorithm(alg);
    dist->compare(target, query, output);
}

void br::PairwiseCompare(const File &targetGallery, const File &queryGallery, const File &output)
{
    AlgorithmManager::getAlgorithm(output.get<QString>("algorithm"))->pairwiseCompare(targetGallery, queryGallery, output);
}

void br::Convert(const File &fileType, const File &inputFile, const File &outputFile)
{
    qDebug("Converting %s %s to %s", qPrintable(fileType.flat()), qPrintable(inputFile.flat()), qPrintable(outputFile.flat()));

    if (fileType == "Format") {
        QScopedPointer<Format> before(Factory<Format>::make(inputFile));
        QScopedPointer<Format> after(Factory<Format>::make(outputFile));
        after->write(before->read());
    } else if (fileType == "Gallery") {
        QScopedPointer<Gallery> before(Gallery::make(inputFile));
        QScopedPointer<Gallery> after(Gallery::make(outputFile));
        bool done = false;
        while (!done) after->writeBlock(before->readBlock(&done));
    } else if (fileType == "Output") {
        QString target, query;
        cv::Mat m = BEE::readMatrix(inputFile, &target, &query);
        const FileList targetFiles = TemplateList::fromGallery(target).files();
        const FileList queryFiles = TemplateList::fromGallery(query).files();

        if ((targetFiles.size() != m.cols || queryFiles.size() != m.rows)
            && (m.cols != 1 || targetFiles.size() != m.rows || queryFiles.size() != m.rows))
            qFatal("Similarity matrix (%d, %d) and header (%d, %d) size mismatch.", m.rows, m.cols, queryFiles.size(), targetFiles.size());

        QSharedPointer<Output> o(Factory<Output>::make(outputFile));
        o->initialize(targetFiles, queryFiles);

        if (targetFiles.size() != m.cols)
        {
            MatrixOutput *mOut = dynamic_cast<MatrixOutput *>(o.data());
            if (mOut)
                mOut->data.create(queryFiles.size(), 1, CV_32FC1);
        }

        o->setBlock(0,0);
        for (int i=0; i < m.rows; i++)
            for (int j=0; j < m.cols; j++)
                o->setRelative(m.at<float>(i,j), i, j);
    } else {
        qFatal("Unrecognized file type %s.", qPrintable(fileType.flat()));
    }
}

void br::Cat(const QStringList &inputGalleries, const QString &outputGallery)
{
    qDebug("Concatenating %d galleries to %s", inputGalleries.size(), qPrintable(outputGallery));
    foreach (const QString &inputGallery, inputGalleries)
        if (inputGallery == outputGallery)
            qFatal("outputGallery must not be in inputGalleries.");
    QScopedPointer<Gallery> og(Gallery::make(outputGallery));
    foreach (const QString &inputGallery, inputGalleries) {
        QScopedPointer<Gallery> ig(Gallery::make(inputGallery));
        bool done = false;
        while (!done) og->writeBlock(ig->readBlock(&done));
    }
}

void br::Deduplicate(const File &inputGallery, const File &outputGallery, const QString &threshold)
{
    bool ok;
    float thresh = threshold.toFloat(&ok);
    if (ok) AlgorithmManager::getAlgorithm(inputGallery.get<QString>("algorithm"))->deduplicate(inputGallery, outputGallery, thresh);
    else qFatal("Unable to convert deduplication threshold to float.");
}

QSharedPointer<br::Transform> br::Transform::fromComparison(const QString &algorithm)
{
    return AlgorithmManager::getAlgorithm(algorithm)->comparison;
}

QSharedPointer<br::Transform> br::Transform::fromAlgorithm(const QString &algorithm, bool preprocess)
{
    if (!preprocess)
        return AlgorithmManager::getAlgorithm(algorithm)->transform;
    else {
        QSharedPointer<Transform> transform = AlgorithmManager::getAlgorithm(algorithm)->transform;
        QSharedPointer<Transform> progressCounter = AlgorithmManager::getAlgorithm(algorithm)->progressCounter;

        QList<Transform *> stages;
        stages.append(transform.data());
        stages.append(progressCounter.data());

        Transform *pipeline(pipeTransforms(stages));
        QSharedPointer<Transform> stream(wrapTransform(pipeline, "Stream(readMode=DistributeFrames)"));
        pipeline->setParent(stream.data());

        return stream;
    }
}

QSharedPointer<br::Distance> br::Distance::fromAlgorithm(const QString &algorithm)
{
    return AlgorithmManager::getAlgorithm(algorithm)->distance;
}


#include "core.moc"