annotate plugin/transform/FeatureExtractionPluginTransformer.cpp @ 328:21bd032ae791

* Introduce new Transform class which contains data necessary to describe the context for a plugin -- the plugin's name and output, the step/block size etc (formerly spread across ExecutionContext and TransformFactory). Other code hasn't been updated to use this yet. * Rename existing Transform stuff to Transformers (because they run Transforms) I'm still not 100% sure about this change, don't rely on it.
author Chris Cannam
date Mon, 05 Nov 2007 15:31:06 +0000
parents plugin/transform/FeatureExtractionPluginTransform.cpp@32e50b620a6c
children
rev   line source
Chris@320 1 /* -*- c-basic-offset: 4 indent-tabs-mode: nil -*- vi:set ts=8 sts=4 sw=4: */
Chris@320 2
Chris@320 3 /*
Chris@320 4 Sonic Visualiser
Chris@320 5 An audio file viewer and annotation editor.
Chris@320 6 Centre for Digital Music, Queen Mary, University of London.
Chris@320 7 This file copyright 2006 Chris Cannam and QMUL.
Chris@320 8
Chris@320 9 This program is free software; you can redistribute it and/or
Chris@320 10 modify it under the terms of the GNU General Public License as
Chris@320 11 published by the Free Software Foundation; either version 2 of the
Chris@320 12 License, or (at your option) any later version. See the file
Chris@320 13 COPYING included with this distribution for more information.
Chris@320 14 */
Chris@320 15
Chris@328 16 #include "FeatureExtractionPluginTransformer.h"
Chris@320 17
Chris@320 18 #include "plugin/FeatureExtractionPluginFactory.h"
Chris@320 19 #include "plugin/PluginXml.h"
Chris@320 20 #include "vamp-sdk/Plugin.h"
Chris@320 21
Chris@320 22 #include "data/model/Model.h"
Chris@320 23 #include "base/Window.h"
Chris@320 24 #include "data/model/SparseOneDimensionalModel.h"
Chris@320 25 #include "data/model/SparseTimeValueModel.h"
Chris@320 26 #include "data/model/EditableDenseThreeDimensionalModel.h"
Chris@320 27 #include "data/model/DenseTimeValueModel.h"
Chris@320 28 #include "data/model/NoteModel.h"
Chris@320 29 #include "data/model/FFTModel.h"
Chris@320 30 #include "data/model/WaveFileModel.h"
Chris@320 31
Chris@320 32 #include <QMessageBox>
Chris@320 33
Chris@320 34 #include <iostream>
Chris@320 35
Chris@328 36 FeatureExtractionPluginTransformer::FeatureExtractionPluginTransformer(Model *inputModel,
Chris@320 37 QString pluginId,
Chris@320 38 const ExecutionContext &context,
Chris@320 39 QString configurationXml,
Chris@320 40 QString outputName) :
Chris@328 41 PluginTransformer(inputModel, context),
Chris@320 42 m_plugin(0),
Chris@320 43 m_descriptor(0),
Chris@320 44 m_outputFeatureNo(0)
Chris@320 45 {
Chris@328 46 // std::cerr << "FeatureExtractionPluginTransformer::FeatureExtractionPluginTransformer: plugin " << pluginId.toStdString() << ", outputName " << outputName.toStdString() << std::endl;
Chris@320 47
Chris@320 48 FeatureExtractionPluginFactory *factory =
Chris@320 49 FeatureExtractionPluginFactory::instanceFor(pluginId);
Chris@320 50
Chris@320 51 if (!factory) {
Chris@328 52 std::cerr << "FeatureExtractionPluginTransformer: No factory available for plugin id \""
Chris@320 53 << pluginId.toStdString() << "\"" << std::endl;
Chris@320 54 return;
Chris@320 55 }
Chris@320 56
Chris@320 57 m_plugin = factory->instantiatePlugin(pluginId, m_input->getSampleRate());
Chris@320 58
Chris@320 59 if (!m_plugin) {
Chris@328 60 std::cerr << "FeatureExtractionPluginTransformer: Failed to instantiate plugin \""
Chris@320 61 << pluginId.toStdString() << "\"" << std::endl;
Chris@320 62 return;
Chris@320 63 }
Chris@320 64
Chris@320 65 if (configurationXml != "") {
Chris@320 66 PluginXml(m_plugin).setParametersFromXml(configurationXml);
Chris@320 67 }
Chris@320 68
Chris@320 69 DenseTimeValueModel *input = getInput();
Chris@320 70 if (!input) return;
Chris@320 71
Chris@320 72 size_t channelCount = input->getChannelCount();
Chris@320 73 if (m_plugin->getMaxChannelCount() < channelCount) {
Chris@320 74 channelCount = 1;
Chris@320 75 }
Chris@320 76 if (m_plugin->getMinChannelCount() > channelCount) {
Chris@328 77 std::cerr << "FeatureExtractionPluginTransformer:: "
Chris@320 78 << "Can't provide enough channels to plugin (plugin min "
Chris@320 79 << m_plugin->getMinChannelCount() << ", max "
Chris@320 80 << m_plugin->getMaxChannelCount() << ", input model has "
Chris@320 81 << input->getChannelCount() << ")" << std::endl;
Chris@320 82 return;
Chris@320 83 }
Chris@320 84
Chris@320 85 std::cerr << "Initialising feature extraction plugin with channels = "
Chris@320 86 << channelCount << ", step = " << m_context.stepSize
Chris@320 87 << ", block = " << m_context.blockSize << std::endl;
Chris@320 88
Chris@320 89 if (!m_plugin->initialise(channelCount,
Chris@320 90 m_context.stepSize,
Chris@320 91 m_context.blockSize)) {
Chris@328 92 std::cerr << "FeatureExtractionPluginTransformer: Plugin "
Chris@320 93 << m_plugin->getIdentifier() << " failed to initialise!" << std::endl;
Chris@320 94 return;
Chris@320 95 }
Chris@320 96
Chris@320 97 Vamp::Plugin::OutputList outputs = m_plugin->getOutputDescriptors();
Chris@320 98
Chris@320 99 if (outputs.empty()) {
Chris@328 100 std::cerr << "FeatureExtractionPluginTransformer: Plugin \""
Chris@320 101 << pluginId.toStdString() << "\" has no outputs" << std::endl;
Chris@320 102 return;
Chris@320 103 }
Chris@320 104
Chris@320 105 for (size_t i = 0; i < outputs.size(); ++i) {
Chris@320 106 if (outputName == "" || outputs[i].identifier == outputName.toStdString()) {
Chris@320 107 m_outputFeatureNo = i;
Chris@320 108 m_descriptor = new Vamp::Plugin::OutputDescriptor
Chris@320 109 (outputs[i]);
Chris@320 110 break;
Chris@320 111 }
Chris@320 112 }
Chris@320 113
Chris@320 114 if (!m_descriptor) {
Chris@328 115 std::cerr << "FeatureExtractionPluginTransformer: Plugin \""
Chris@320 116 << pluginId.toStdString() << "\" has no output named \""
Chris@320 117 << outputName.toStdString() << "\"" << std::endl;
Chris@320 118 return;
Chris@320 119 }
Chris@320 120
Chris@328 121 // std::cerr << "FeatureExtractionPluginTransformer: output sample type "
Chris@320 122 // << m_descriptor->sampleType << std::endl;
Chris@320 123
Chris@320 124 int binCount = 1;
Chris@320 125 float minValue = 0.0, maxValue = 0.0;
Chris@320 126 bool haveExtents = false;
Chris@320 127
Chris@320 128 if (m_descriptor->hasFixedBinCount) {
Chris@320 129 binCount = m_descriptor->binCount;
Chris@320 130 }
Chris@320 131
Chris@328 132 // std::cerr << "FeatureExtractionPluginTransformer: output bin count "
Chris@320 133 // << binCount << std::endl;
Chris@320 134
Chris@320 135 if (binCount > 0 && m_descriptor->hasKnownExtents) {
Chris@320 136 minValue = m_descriptor->minValue;
Chris@320 137 maxValue = m_descriptor->maxValue;
Chris@320 138 haveExtents = true;
Chris@320 139 }
Chris@320 140
Chris@320 141 size_t modelRate = m_input->getSampleRate();
Chris@320 142 size_t modelResolution = 1;
Chris@320 143
Chris@320 144 switch (m_descriptor->sampleType) {
Chris@320 145
Chris@320 146 case Vamp::Plugin::OutputDescriptor::VariableSampleRate:
Chris@320 147 if (m_descriptor->sampleRate != 0.0) {
Chris@320 148 modelResolution = size_t(modelRate / m_descriptor->sampleRate + 0.001);
Chris@320 149 }
Chris@320 150 break;
Chris@320 151
Chris@320 152 case Vamp::Plugin::OutputDescriptor::OneSamplePerStep:
Chris@320 153 modelResolution = m_context.stepSize;
Chris@320 154 break;
Chris@320 155
Chris@320 156 case Vamp::Plugin::OutputDescriptor::FixedSampleRate:
Chris@320 157 modelRate = size_t(m_descriptor->sampleRate + 0.001);
Chris@320 158 break;
Chris@320 159 }
Chris@320 160
Chris@320 161 if (binCount == 0) {
Chris@320 162
Chris@320 163 m_output = new SparseOneDimensionalModel(modelRate, modelResolution,
Chris@320 164 false);
Chris@320 165
Chris@320 166 } else if (binCount == 1) {
Chris@320 167
Chris@320 168 SparseTimeValueModel *model;
Chris@320 169 if (haveExtents) {
Chris@320 170 model = new SparseTimeValueModel
Chris@320 171 (modelRate, modelResolution, minValue, maxValue, false);
Chris@320 172 } else {
Chris@320 173 model = new SparseTimeValueModel
Chris@320 174 (modelRate, modelResolution, false);
Chris@320 175 }
Chris@320 176 model->setScaleUnits(outputs[m_outputFeatureNo].unit.c_str());
Chris@320 177
Chris@320 178 m_output = model;
Chris@320 179
Chris@320 180 } else if (m_descriptor->sampleType ==
Chris@320 181 Vamp::Plugin::OutputDescriptor::VariableSampleRate) {
Chris@320 182
Chris@320 183 // We don't have a sparse 3D model, so interpret this as a
Chris@320 184 // note model. There's nothing to define which values to use
Chris@320 185 // as which parameters of the note -- for the moment let's
Chris@320 186 // treat the first as pitch, second as duration in frames,
Chris@320 187 // third (if present) as velocity. (Our note model doesn't
Chris@320 188 // yet store velocity.)
Chris@320 189 //!!! todo: ask the user!
Chris@320 190
Chris@320 191 NoteModel *model;
Chris@320 192 if (haveExtents) {
Chris@320 193 model = new NoteModel
Chris@320 194 (modelRate, modelResolution, minValue, maxValue, false);
Chris@320 195 } else {
Chris@320 196 model = new NoteModel
Chris@320 197 (modelRate, modelResolution, false);
Chris@320 198 }
Chris@320 199 model->setScaleUnits(outputs[m_outputFeatureNo].unit.c_str());
Chris@320 200
Chris@320 201 m_output = model;
Chris@320 202
Chris@320 203 } else {
Chris@320 204
Chris@320 205 EditableDenseThreeDimensionalModel *model =
Chris@320 206 new EditableDenseThreeDimensionalModel
Chris@320 207 (modelRate, modelResolution, binCount, false);
Chris@320 208
Chris@320 209 if (!m_descriptor->binNames.empty()) {
Chris@320 210 std::vector<QString> names;
Chris@320 211 for (size_t i = 0; i < m_descriptor->binNames.size(); ++i) {
Chris@320 212 names.push_back(m_descriptor->binNames[i].c_str());
Chris@320 213 }
Chris@320 214 model->setBinNames(names);
Chris@320 215 }
Chris@320 216
Chris@320 217 m_output = model;
Chris@320 218 }
Chris@320 219 }
Chris@320 220
Chris@328 221 FeatureExtractionPluginTransformer::~FeatureExtractionPluginTransformer()
Chris@320 222 {
Chris@328 223 std::cerr << "FeatureExtractionPluginTransformer::~FeatureExtractionPluginTransformer()" << std::endl;
Chris@320 224 delete m_plugin;
Chris@320 225 delete m_descriptor;
Chris@320 226 }
Chris@320 227
Chris@320 228 DenseTimeValueModel *
Chris@328 229 FeatureExtractionPluginTransformer::getInput()
Chris@320 230 {
Chris@320 231 DenseTimeValueModel *dtvm =
Chris@320 232 dynamic_cast<DenseTimeValueModel *>(getInputModel());
Chris@320 233 if (!dtvm) {
Chris@328 234 std::cerr << "FeatureExtractionPluginTransformer::getInput: WARNING: Input model is not conformable to DenseTimeValueModel" << std::endl;
Chris@320 235 }
Chris@320 236 return dtvm;
Chris@320 237 }
Chris@320 238
Chris@320 239 void
Chris@328 240 FeatureExtractionPluginTransformer::run()
Chris@320 241 {
Chris@320 242 DenseTimeValueModel *input = getInput();
Chris@320 243 if (!input) return;
Chris@320 244
Chris@320 245 if (!m_output) return;
Chris@320 246
Chris@320 247 while (!input->isReady()) {
Chris@320 248 /*
Chris@320 249 if (dynamic_cast<WaveFileModel *>(input)) {
Chris@328 250 std::cerr << "FeatureExtractionPluginTransformer::run: Model is not ready, but it's not a WaveFileModel (it's a " << typeid(input).name() << "), so that's OK" << std::endl;
Chris@320 251 sleep(2);
Chris@320 252 break; // no need to wait
Chris@320 253 }
Chris@320 254 */
Chris@328 255 std::cerr << "FeatureExtractionPluginTransformer::run: Waiting for input model to be ready..." << std::endl;
Chris@320 256 sleep(1);
Chris@320 257 }
Chris@320 258
Chris@320 259 size_t sampleRate = m_input->getSampleRate();
Chris@320 260
Chris@320 261 size_t channelCount = input->getChannelCount();
Chris@320 262 if (m_plugin->getMaxChannelCount() < channelCount) {
Chris@320 263 channelCount = 1;
Chris@320 264 }
Chris@320 265
Chris@320 266 float **buffers = new float*[channelCount];
Chris@320 267 for (size_t ch = 0; ch < channelCount; ++ch) {
Chris@320 268 buffers[ch] = new float[m_context.blockSize + 2];
Chris@320 269 }
Chris@320 270
Chris@320 271 bool frequencyDomain = (m_plugin->getInputDomain() ==
Chris@320 272 Vamp::Plugin::FrequencyDomain);
Chris@320 273 std::vector<FFTModel *> fftModels;
Chris@320 274
Chris@320 275 if (frequencyDomain) {
Chris@320 276 for (size_t ch = 0; ch < channelCount; ++ch) {
Chris@320 277 FFTModel *model = new FFTModel
Chris@320 278 (getInput(),
Chris@320 279 channelCount == 1 ? m_context.channel : ch,
Chris@320 280 m_context.windowType,
Chris@320 281 m_context.blockSize,
Chris@320 282 m_context.stepSize,
Chris@320 283 m_context.blockSize,
Chris@320 284 false);
Chris@320 285 if (!model->isOK()) {
Chris@320 286 QMessageBox::critical
Chris@320 287 (0, tr("FFT cache failed"),
Chris@320 288 tr("Failed to create the FFT model for this transform.\n"
Chris@320 289 "There may be insufficient memory or disc space to continue."));
Chris@320 290 delete model;
Chris@320 291 setCompletion(100);
Chris@320 292 return;
Chris@320 293 }
Chris@320 294 model->resume();
Chris@320 295 fftModels.push_back(model);
Chris@320 296 }
Chris@320 297 }
Chris@320 298
Chris@320 299 long startFrame = m_input->getStartFrame();
Chris@320 300 long endFrame = m_input->getEndFrame();
Chris@320 301
Chris@320 302 long contextStart = m_context.startFrame;
Chris@320 303 long contextDuration = m_context.duration;
Chris@320 304
Chris@320 305 if (contextStart == 0 || contextStart < startFrame) {
Chris@320 306 contextStart = startFrame;
Chris@320 307 }
Chris@320 308
Chris@320 309 if (contextDuration == 0) {
Chris@320 310 contextDuration = endFrame - contextStart;
Chris@320 311 }
Chris@320 312 if (contextStart + contextDuration > endFrame) {
Chris@320 313 contextDuration = endFrame - contextStart;
Chris@320 314 }
Chris@320 315
Chris@320 316 long blockFrame = contextStart;
Chris@320 317
Chris@320 318 long prevCompletion = 0;
Chris@320 319
Chris@320 320 setCompletion(0);
Chris@320 321
Chris@320 322 while (!m_abandoned) {
Chris@320 323
Chris@320 324 if (frequencyDomain) {
Chris@320 325 if (blockFrame - int(m_context.blockSize)/2 >
Chris@320 326 contextStart + contextDuration) break;
Chris@320 327 } else {
Chris@320 328 if (blockFrame >=
Chris@320 329 contextStart + contextDuration) break;
Chris@320 330 }
Chris@320 331
Chris@328 332 // std::cerr << "FeatureExtractionPluginTransformer::run: blockFrame "
Chris@320 333 // << blockFrame << ", endFrame " << endFrame << ", blockSize "
Chris@320 334 // << m_context.blockSize << std::endl;
Chris@320 335
Chris@320 336 long completion =
Chris@320 337 (((blockFrame - contextStart) / m_context.stepSize) * 99) /
Chris@320 338 (contextDuration / m_context.stepSize);
Chris@320 339
Chris@320 340 // channelCount is either m_input->channelCount or 1
Chris@320 341
Chris@320 342 for (size_t ch = 0; ch < channelCount; ++ch) {
Chris@320 343 if (frequencyDomain) {
Chris@320 344 int column = (blockFrame - startFrame) / m_context.stepSize;
Chris@320 345 for (size_t i = 0; i <= m_context.blockSize/2; ++i) {
Chris@320 346 fftModels[ch]->getValuesAt
Chris@320 347 (column, i, buffers[ch][i*2], buffers[ch][i*2+1]);
Chris@320 348 }
Chris@320 349 } else {
Chris@320 350 getFrames(ch, channelCount,
Chris@320 351 blockFrame, m_context.blockSize, buffers[ch]);
Chris@320 352 }
Chris@320 353 }
Chris@320 354
Chris@320 355 Vamp::Plugin::FeatureSet features = m_plugin->process
Chris@320 356 (buffers, Vamp::RealTime::frame2RealTime(blockFrame, sampleRate));
Chris@320 357
Chris@320 358 for (size_t fi = 0; fi < features[m_outputFeatureNo].size(); ++fi) {
Chris@320 359 Vamp::Plugin::Feature feature =
Chris@320 360 features[m_outputFeatureNo][fi];
Chris@320 361 addFeature(blockFrame, feature);
Chris@320 362 }
Chris@320 363
Chris@320 364 if (blockFrame == contextStart || completion > prevCompletion) {
Chris@320 365 setCompletion(completion);
Chris@320 366 prevCompletion = completion;
Chris@320 367 }
Chris@320 368
Chris@320 369 blockFrame += m_context.stepSize;
Chris@320 370 }
Chris@320 371
Chris@320 372 if (m_abandoned) return;
Chris@320 373
Chris@320 374 Vamp::Plugin::FeatureSet features = m_plugin->getRemainingFeatures();
Chris@320 375
Chris@320 376 for (size_t fi = 0; fi < features[m_outputFeatureNo].size(); ++fi) {
Chris@320 377 Vamp::Plugin::Feature feature =
Chris@320 378 features[m_outputFeatureNo][fi];
Chris@320 379 addFeature(blockFrame, feature);
Chris@320 380 }
Chris@320 381
Chris@320 382 if (frequencyDomain) {
Chris@320 383 for (size_t ch = 0; ch < channelCount; ++ch) {
Chris@320 384 delete fftModels[ch];
Chris@320 385 }
Chris@320 386 }
Chris@320 387
Chris@320 388 setCompletion(100);
Chris@320 389 }
Chris@320 390
Chris@320 391 void
Chris@328 392 FeatureExtractionPluginTransformer::getFrames(int channel, int channelCount,
Chris@320 393 long startFrame, long size,
Chris@320 394 float *buffer)
Chris@320 395 {
Chris@320 396 long offset = 0;
Chris@320 397
Chris@320 398 if (startFrame < 0) {
Chris@320 399 for (int i = 0; i < size && startFrame + i < 0; ++i) {
Chris@320 400 buffer[i] = 0.0f;
Chris@320 401 }
Chris@320 402 offset = -startFrame;
Chris@320 403 size -= offset;
Chris@320 404 if (size <= 0) return;
Chris@320 405 startFrame = 0;
Chris@320 406 }
Chris@320 407
Chris@320 408 long got = getInput()->getData
Chris@320 409 ((channelCount == 1 ? m_context.channel : channel),
Chris@320 410 startFrame, size, buffer + offset);
Chris@320 411
Chris@320 412 while (got < size) {
Chris@320 413 buffer[offset + got] = 0.0;
Chris@320 414 ++got;
Chris@320 415 }
Chris@320 416
Chris@320 417 if (m_context.channel == -1 && channelCount == 1 &&
Chris@320 418 getInput()->getChannelCount() > 1) {
Chris@320 419 // use mean instead of sum, as plugin input
Chris@320 420 int cc = getInput()->getChannelCount();
Chris@320 421 for (long i = 0; i < size; ++i) {
Chris@320 422 buffer[i] /= cc;
Chris@320 423 }
Chris@320 424 }
Chris@320 425 }
Chris@320 426
Chris@320 427 void
Chris@328 428 FeatureExtractionPluginTransformer::addFeature(size_t blockFrame,
Chris@320 429 const Vamp::Plugin::Feature &feature)
Chris@320 430 {
Chris@320 431 size_t inputRate = m_input->getSampleRate();
Chris@320 432
Chris@328 433 // std::cerr << "FeatureExtractionPluginTransformer::addFeature("
Chris@320 434 // << blockFrame << ")" << std::endl;
Chris@320 435
Chris@320 436 int binCount = 1;
Chris@320 437 if (m_descriptor->hasFixedBinCount) {
Chris@320 438 binCount = m_descriptor->binCount;
Chris@320 439 }
Chris@320 440
Chris@320 441 size_t frame = blockFrame;
Chris@320 442
Chris@320 443 if (m_descriptor->sampleType ==
Chris@320 444 Vamp::Plugin::OutputDescriptor::VariableSampleRate) {
Chris@320 445
Chris@320 446 if (!feature.hasTimestamp) {
Chris@320 447 std::cerr
Chris@328 448 << "WARNING: FeatureExtractionPluginTransformer::addFeature: "
Chris@320 449 << "Feature has variable sample rate but no timestamp!"
Chris@320 450 << std::endl;
Chris@320 451 return;
Chris@320 452 } else {
Chris@320 453 frame = Vamp::RealTime::realTime2Frame(feature.timestamp, inputRate);
Chris@320 454 }
Chris@320 455
Chris@320 456 } else if (m_descriptor->sampleType ==
Chris@320 457 Vamp::Plugin::OutputDescriptor::FixedSampleRate) {
Chris@320 458
Chris@320 459 if (feature.hasTimestamp) {
Chris@320 460 //!!! warning: sampleRate may be non-integral
Chris@320 461 frame = Vamp::RealTime::realTime2Frame(feature.timestamp,
Chris@320 462 lrintf(m_descriptor->sampleRate));
Chris@320 463 } else {
Chris@320 464 frame = m_output->getEndFrame();
Chris@320 465 }
Chris@320 466 }
Chris@320 467
Chris@320 468 if (binCount == 0) {
Chris@320 469
Chris@320 470 SparseOneDimensionalModel *model = getOutput<SparseOneDimensionalModel>();
Chris@320 471 if (!model) return;
Chris@320 472 model->addPoint(SparseOneDimensionalModel::Point(frame, feature.label.c_str()));
Chris@320 473
Chris@320 474 } else if (binCount == 1) {
Chris@320 475
Chris@320 476 float value = 0.0;
Chris@320 477 if (feature.values.size() > 0) value = feature.values[0];
Chris@320 478
Chris@320 479 SparseTimeValueModel *model = getOutput<SparseTimeValueModel>();
Chris@320 480 if (!model) return;
Chris@320 481 model->addPoint(SparseTimeValueModel::Point(frame, value, feature.label.c_str()));
Chris@320 482 // std::cerr << "SparseTimeValueModel::addPoint(" << frame << ", " << value << "), " << feature.label.c_str() << std::endl;
Chris@320 483
Chris@320 484 } else if (m_descriptor->sampleType ==
Chris@320 485 Vamp::Plugin::OutputDescriptor::VariableSampleRate) {
Chris@320 486
Chris@320 487 float pitch = 0.0;
Chris@320 488 if (feature.values.size() > 0) pitch = feature.values[0];
Chris@320 489
Chris@320 490 float duration = 1;
Chris@320 491 if (feature.values.size() > 1) duration = feature.values[1];
Chris@320 492
Chris@320 493 float velocity = 100;
Chris@320 494 if (feature.values.size() > 2) velocity = feature.values[2];
Chris@320 495
Chris@320 496 NoteModel *model = getOutput<NoteModel>();
Chris@320 497 if (!model) return;
Chris@320 498
Chris@320 499 model->addPoint(NoteModel::Point(frame, pitch,
Chris@320 500 lrintf(duration),
Chris@320 501 feature.label.c_str()));
Chris@320 502
Chris@320 503 } else {
Chris@320 504
Chris@320 505 DenseThreeDimensionalModel::Column values = feature.values;
Chris@320 506
Chris@320 507 EditableDenseThreeDimensionalModel *model =
Chris@320 508 getOutput<EditableDenseThreeDimensionalModel>();
Chris@320 509 if (!model) return;
Chris@320 510
Chris@320 511 model->setColumn(frame / model->getResolution(), values);
Chris@320 512 }
Chris@320 513 }
Chris@320 514
Chris@320 515 void
Chris@328 516 FeatureExtractionPluginTransformer::setCompletion(int completion)
Chris@320 517 {
Chris@320 518 int binCount = 1;
Chris@320 519 if (m_descriptor->hasFixedBinCount) {
Chris@320 520 binCount = m_descriptor->binCount;
Chris@320 521 }
Chris@320 522
Chris@328 523 // std::cerr << "FeatureExtractionPluginTransformer::setCompletion("
Chris@320 524 // << completion << ")" << std::endl;
Chris@320 525
Chris@320 526 if (binCount == 0) {
Chris@320 527
Chris@320 528 SparseOneDimensionalModel *model = getOutput<SparseOneDimensionalModel>();
Chris@320 529 if (!model) return;
Chris@320 530 model->setCompletion(completion);
Chris@320 531
Chris@320 532 } else if (binCount == 1) {
Chris@320 533
Chris@320 534 SparseTimeValueModel *model = getOutput<SparseTimeValueModel>();
Chris@320 535 if (!model) return;
Chris@320 536 model->setCompletion(completion);
Chris@320 537
Chris@320 538 } else if (m_descriptor->sampleType ==
Chris@320 539 Vamp::Plugin::OutputDescriptor::VariableSampleRate) {
Chris@320 540
Chris@320 541 NoteModel *model = getOutput<NoteModel>();
Chris@320 542 if (!model) return;
Chris@320 543 model->setCompletion(completion);
Chris@320 544
Chris@320 545 } else {
Chris@320 546
Chris@320 547 EditableDenseThreeDimensionalModel *model =
Chris@320 548 getOutput<EditableDenseThreeDimensionalModel>();
Chris@320 549 if (!model) return;
Chris@320 550 model->setCompletion(completion);
Chris@320 551 }
Chris@320 552 }
Chris@320 553