Mercurial > hg > svapp
view framework/Align.cpp @ 677:4d26b66931f8
Abandon aggregate models on deletion (e.g. when document is replaced during processing)
author | Chris Cannam |
---|---|
date | Tue, 11 Jun 2019 13:39:50 +0100 |
parents | b375fdbb74bc |
children | 16c1077da62c |
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/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*- vi:set ts=8 sts=4 sw=4: */ /* Sonic Visualiser An audio file viewer and annotation editor. Centre for Digital Music, Queen Mary, University of London. This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. See the file COPYING included with this distribution for more information. */ #include "Align.h" #include "Document.h" #include "data/model/WaveFileModel.h" #include "data/model/ReadOnlyWaveFileModel.h" #include "data/model/AggregateWaveModel.h" #include "data/model/RangeSummarisableTimeValueModel.h" #include "data/model/SparseTimeValueModel.h" #include "data/model/AlignmentModel.h" #include "data/fileio/CSVFileReader.h" #include "transform/TransformFactory.h" #include "transform/ModelTransformerFactory.h" #include "transform/FeatureExtractionModelTransformer.h" #include <QProcess> #include <QSettings> #include <QApplication> bool Align::alignModel(Document *doc, Model *ref, Model *other, QString &error) { QSettings settings; settings.beginGroup("Preferences"); bool useProgram = settings.value("use-external-alignment", false).toBool(); QString program = settings.value("external-alignment-program", "").toString(); settings.endGroup(); if (useProgram && (program != "")) { return alignModelViaProgram(doc, ref, other, program, error); } else { return alignModelViaTransform(doc, ref, other, error); } } QString Align::getAlignmentTransformName() { QSettings settings; settings.beginGroup("Alignment"); TransformId id = settings.value("transform-id", "vamp:match-vamp-plugin:match:path").toString(); settings.endGroup(); return id; } QString Align::getTuningDifferenceTransformName() { QSettings settings; settings.beginGroup("Alignment"); bool performPitchCompensation = settings.value("align-pitch-aware", false).toBool(); QString id = ""; if (performPitchCompensation) { id = settings.value ("tuning-difference-transform-id", "vamp:tuning-difference:tuning-difference:tuningfreq") .toString(); } settings.endGroup(); return id; } bool Align::canAlign() { TransformFactory *factory = TransformFactory::getInstance(); TransformId id = getAlignmentTransformName(); TransformId tdId = getTuningDifferenceTransformName(); return factory->haveTransform(id) && (tdId == "" || factory->haveTransform(tdId)); } bool Align::alignModelViaTransform(Document *doc, Model *ref, Model *other, QString &error) { QMutexLocker locker (&m_mutex); RangeSummarisableTimeValueModel *reference = qobject_cast <RangeSummarisableTimeValueModel *>(ref); RangeSummarisableTimeValueModel *rm = qobject_cast <RangeSummarisableTimeValueModel *>(other); if (!reference || !rm) return false; // but this should have been tested already // This involves creating either three or four new models: // // 1. an AggregateWaveModel to provide the mixdowns of the main // model and the new model in its two channels, as input to the // MATCH plugin // // 2a. a SparseTimeValueModel which will be automatically created // by FeatureExtractionModelTransformer when running the // TuningDifference plugin to receive the relative tuning of the // second model (if pitch-aware alignment is enabled in the // preferences) // // 2b. a SparseTimeValueModel which will be automatically created // by FeatureExtractionPluginTransformer when running the MATCH // plugin to perform alignment (so containing the alignment path) // // 3. an AlignmentModel, which stores the path model and carries // out alignment lookups on it. // // The AggregateWaveModel [1] is registered with the document, // which deletes it when it is invalidated (when one of its // components is deleted). The SparseTimeValueModel [2a] is reused // by us when starting the alignment process proper, and is then // deleted by us. The SparseTimeValueModel [2b] is passed to the // AlignmentModel, which takes ownership of it. The AlignmentModel // is attached to the new model we are aligning, which also takes // ownership of it. The only one of these models that we need to // delete here is the SparseTimeValueModel [2a]. // // (We also create a sneaky additional SparseTimeValueModel // temporarily so we can attach completion information to it - // this is quite unnecessary from the perspective of simply // producing the results.) AggregateWaveModel::ChannelSpecList components; components.push_back(AggregateWaveModel::ModelChannelSpec (reference, -1)); components.push_back(AggregateWaveModel::ModelChannelSpec (rm, -1)); AggregateWaveModel *aggregateModel = new AggregateWaveModel(components); doc->addAggregateModel(aggregateModel); AlignmentModel *alignmentModel = new AlignmentModel(reference, other, nullptr); TransformId tdId = getTuningDifferenceTransformName(); if (tdId == "") { if (beginTransformDrivenAlignment(aggregateModel, alignmentModel)) { rm->setAlignment(alignmentModel); } else { error = alignmentModel->getError(); delete alignmentModel; return false; } } else { // Have a tuning-difference transform id, so run it // asynchronously first TransformFactory *tf = TransformFactory::getInstance(); Transform transform = tf->getDefaultTransformFor (tdId, aggregateModel->getSampleRate()); transform.setParameter("maxduration", 50); transform.setParameter("maxrange", 5); SVDEBUG << "Align::alignModel: Tuning difference transform step size " << transform.getStepSize() << ", block size " << transform.getBlockSize() << endl; ModelTransformerFactory *mtf = ModelTransformerFactory::getInstance(); QString message; Model *transformOutput = mtf->transform(transform, aggregateModel, message); SparseTimeValueModel *tdout = dynamic_cast<SparseTimeValueModel *> (transformOutput); if (!tdout) { SVCERR << "Align::alignModel: ERROR: Failed to create tuning-difference output model (no Tuning Difference plugin?)" << endl; delete tdout; error = message; return false; } rm->setAlignment(alignmentModel); connect(tdout, SIGNAL(completionChanged()), this, SLOT(tuningDifferenceCompletionChanged())); TuningDiffRec rec; rec.input = aggregateModel; rec.alignment = alignmentModel; connect(aggregateModel, SIGNAL(aboutToBeDeleted()), this, SLOT(aggregateModelAboutToBeDeleted())); // This model exists only so that the AlignmentModel can get a // completion value from somewhere while the tuning difference // calculation is going on rec.preparatory = new SparseTimeValueModel (aggregateModel->getSampleRate(), 1);; rec.preparatory->setCompletion(0); alignmentModel->setPathFrom(rec.preparatory); m_pendingTuningDiffs[tdout] = rec; } return true; } void Align::aggregateModelAboutToBeDeleted() { SVCERR << "Align::aggregateModelAboutToBeDeleted" << endl; QObject *s = sender(); AggregateWaveModel *awm = qobject_cast<AggregateWaveModel *>(s); if (!awm) return; QMutexLocker locker(&m_mutex); SVCERR << "Align::aggregateModelAboutToBeDeleted: awm = " << awm << endl; for (const auto &p : m_pendingTuningDiffs) { if (p.second.input == awm) { SVCERR << "we have a record of this, getting rid of it" << endl; m_pendingTuningDiffs.erase(p.first); return; } } } void Align::tuningDifferenceCompletionChanged() { QMutexLocker locker (&m_mutex); SparseTimeValueModel *td = qobject_cast<SparseTimeValueModel *>(sender()); if (!td) return; if (m_pendingTuningDiffs.find(td) == m_pendingTuningDiffs.end()) { SVCERR << "ERROR: Align::tuningDifferenceCompletionChanged: Model " << td << " not found in pending tuning diff map!" << endl; return; } TuningDiffRec rec = m_pendingTuningDiffs[td]; int completion = 0; bool done = td->isReady(&completion); // SVCERR << "Align::tuningDifferenceCompletionChanged: done = " << done << ", completion = " << completion << endl; if (!done) { // This will be the completion the alignment model reports, // before the alignment actually begins. It goes up from 0 to // 99 (not 100!) and then back to 0 again when we start // calculating the actual path in the following phase int clamped = (completion == 100 ? 99 : completion); // SVCERR << "Align::tuningDifferenceCompletionChanged: setting rec.preparatory completion to " << clamped << endl; rec.preparatory->setCompletion(clamped); return; } float tuningFrequency = 440.f; if (!td->isEmpty()) { tuningFrequency = td->getAllEvents()[0].getValue(); SVCERR << "Align::tuningDifferenceCompletionChanged: Reported tuning frequency = " << tuningFrequency << endl; } else { SVCERR << "Align::tuningDifferenceCompletionChanged: No tuning frequency reported" << endl; } m_pendingTuningDiffs.erase(td); td->aboutToDelete(); delete td; rec.alignment->setPathFrom(nullptr); beginTransformDrivenAlignment (rec.input, rec.alignment, tuningFrequency); } bool Align::beginTransformDrivenAlignment(AggregateWaveModel *aggregateModel, AlignmentModel *alignmentModel, float tuningFrequency) { TransformId id = getAlignmentTransformName(); TransformFactory *tf = TransformFactory::getInstance(); Transform transform = tf->getDefaultTransformFor (id, aggregateModel->getSampleRate()); transform.setStepSize(transform.getBlockSize()/2); transform.setParameter("serialise", 1); transform.setParameter("smooth", 0); if (tuningFrequency != 0.f) { transform.setParameter("freq2", tuningFrequency); } SVDEBUG << "Align::alignModel: Alignment transform step size " << transform.getStepSize() << ", block size " << transform.getBlockSize() << endl; ModelTransformerFactory *mtf = ModelTransformerFactory::getInstance(); QString message; Model *transformOutput = mtf->transform (transform, aggregateModel, message); if (!transformOutput) { transform.setStepSize(0); transformOutput = mtf->transform (transform, aggregateModel, message); } SparseTimeValueModel *path = dynamic_cast<SparseTimeValueModel *> (transformOutput); //!!! callers will need to be updated to get error from //!!! alignment model after initial call if (!path) { SVCERR << "Align::alignModel: ERROR: Failed to create alignment path (no MATCH plugin?)" << endl; delete transformOutput; alignmentModel->setError(message); return false; } path->setCompletion(0); alignmentModel->setPathFrom(path); connect(alignmentModel, SIGNAL(completionChanged()), this, SLOT(alignmentCompletionChanged())); return true; } void Align::alignmentCompletionChanged() { QMutexLocker locker (&m_mutex); AlignmentModel *am = qobject_cast<AlignmentModel *>(sender()); if (!am) return; if (am->isReady()) { disconnect(am, SIGNAL(completionChanged()), this, SLOT(alignmentCompletionChanged())); emit alignmentComplete(am); } } bool Align::alignModelViaProgram(Document *, Model *ref, Model *other, QString program, QString &error) { QMutexLocker locker (&m_mutex); WaveFileModel *reference = qobject_cast<WaveFileModel *>(ref); WaveFileModel *rm = qobject_cast<WaveFileModel *>(other); if (!reference || !rm) { return false; // but this should have been tested already } while (!reference->isReady(nullptr) || !rm->isReady(nullptr)) { qApp->processEvents(); } // Run an external program, passing to it paths to the main // model's audio file and the new model's audio file. It returns // the path in CSV form through stdout. ReadOnlyWaveFileModel *roref = qobject_cast<ReadOnlyWaveFileModel *>(reference); ReadOnlyWaveFileModel *rorm = qobject_cast<ReadOnlyWaveFileModel *>(rm); if (!roref || !rorm) { SVCERR << "ERROR: Align::alignModelViaProgram: Can't align non-read-only models via program (no local filename available)" << endl; return false; } QString refPath = roref->getLocalFilename(); QString otherPath = rorm->getLocalFilename(); if (refPath == "" || otherPath == "") { error = "Failed to find local filepath for wave-file model"; return false; } AlignmentModel *alignmentModel = new AlignmentModel(reference, other, nullptr); rm->setAlignment(alignmentModel); QProcess *process = new QProcess; QStringList args; args << refPath << otherPath; connect(process, SIGNAL(finished(int, QProcess::ExitStatus)), this, SLOT(alignmentProgramFinished(int, QProcess::ExitStatus))); m_pendingProcesses[process] = alignmentModel; process->start(program, args); bool success = process->waitForStarted(); if (!success) { SVCERR << "ERROR: Align::alignModelViaProgram: Program did not start" << endl; error = "Alignment program could not be started"; m_pendingProcesses.erase(process); rm->setAlignment(nullptr); // deletes alignmentModel as well delete process; } return success; } void Align::alignmentProgramFinished(int exitCode, QProcess::ExitStatus status) { QMutexLocker locker (&m_mutex); SVCERR << "Align::alignmentProgramFinished" << endl; QProcess *process = qobject_cast<QProcess *>(sender()); if (m_pendingProcesses.find(process) == m_pendingProcesses.end()) { SVCERR << "ERROR: Align::alignmentProgramFinished: Process " << process << " not found in process model map!" << endl; return; } AlignmentModel *alignmentModel = m_pendingProcesses[process]; if (exitCode == 0 && status == 0) { CSVFormat format; format.setModelType(CSVFormat::TwoDimensionalModel); format.setTimingType(CSVFormat::ExplicitTiming); format.setTimeUnits(CSVFormat::TimeSeconds); format.setColumnCount(2); // The output format has time in the reference file first, and // time in the "other" file in the second column. This is a // more natural approach for a command-line alignment tool, // but it's the opposite of what we expect for native // alignment paths, which map from "other" file to // reference. These column purpose settings reflect that. format.setColumnPurpose(1, CSVFormat::ColumnStartTime); format.setColumnPurpose(0, CSVFormat::ColumnValue); format.setAllowQuoting(false); format.setSeparator(','); CSVFileReader reader(process, format, alignmentModel->getSampleRate()); if (!reader.isOK()) { SVCERR << "ERROR: Align::alignmentProgramFinished: Failed to parse output" << endl; alignmentModel->setError (QString("Failed to parse output of program: %1") .arg(reader.getError())); goto done; } Model *csvOutput = reader.load(); SparseTimeValueModel *path = qobject_cast<SparseTimeValueModel *>(csvOutput); if (!path) { SVCERR << "ERROR: Align::alignmentProgramFinished: Output did not convert to sparse time-value model" << endl; alignmentModel->setError ("Output of program did not produce sparse time-value model"); goto done; } if (path->isEmpty()) { SVCERR << "ERROR: Align::alignmentProgramFinished: Output contained no mappings" << endl; alignmentModel->setError ("Output of alignment program contained no mappings"); goto done; } SVCERR << "Align::alignmentProgramFinished: Setting alignment path (" << path->getEventCount() << " point(s))" << endl; alignmentModel->setPathFrom(path); emit alignmentComplete(alignmentModel); } else { SVCERR << "ERROR: Align::alignmentProgramFinished: Aligner program " << "failed: exit code " << exitCode << ", status " << status << endl; alignmentModel->setError ("Aligner process returned non-zero exit status"); } done: m_pendingProcesses.erase(process); delete process; }