core.cpp
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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
* 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"