Example #1
0
void ConfigureLLAOut::populateOutputList()
{
  m_listView->clear();
  OutputList outputs = m_plugin->outputMapping();

  for (int i = 0; i != outputs.size(); ++i)
  {
    QTreeWidgetItem* item = new QTreeWidgetItem(m_listView);
    item->setText(KColumnName, QString("LLA Output %1").arg(i + 1));
    item->setText(KColumnOutput, QString("%1").arg(outputs[i]));
  }
}
Example #2
0
void OutputSet::reinit(const OutputList& outputs)
{
  m_outputs.clear();
  if (outputs.empty())
    return;
  m_outputs.resize(outputs.size());
  OutputVector::size_type index = 0;
  for (OutputList::const_iterator it = outputs.begin(); it != outputs.end(); ++it)
    {
      assert(index < m_outputs.size());
      m_outputs[index] = *it;
      index++;
    } //for();
}
RubberBandVampPlugin::OutputList
RubberBandVampPlugin::getOutputDescriptors() const
{
    OutputList list;

    size_t rate = 0;
    if (m_d->m_stretcher) {
        rate = lrintf(m_inputSampleRate / m_d->m_stretcher->getInputIncrement());
    }

    OutputDescriptor d;
    d.identifier = "increments";
    d.name = "Output Increments";
    d.description = "Output time increment for each input step";
    d.unit = "samples";
    d.hasFixedBinCount = true;
    d.binCount = 1;
    d.hasKnownExtents = false;
    d.isQuantized = true;
    d.quantizeStep = 1.0;
    d.sampleType = OutputDescriptor::VariableSampleRate;
    d.sampleRate = float(rate);
    m_d->m_incrementsOutput = list.size();
    list.push_back(d);

    d.identifier = "aggregate_increments";
    d.name = "Accumulated Output Increments";
    d.description = "Accumulated output time increments";
    d.sampleRate = 0;
    m_d->m_aggregateIncrementsOutput = list.size();
    list.push_back(d);

    d.identifier = "divergence";
    d.name = "Divergence from Linear";
    d.description = "Difference between actual output time and the output time for a theoretical linear stretch";
    d.isQuantized = false;
    d.sampleRate = 0;
    m_d->m_divergenceOutput = list.size();
    list.push_back(d);

    d.identifier = "phaseresetdf";
    d.name = "Phase Reset Detection Function";
    d.description = "Curve whose peaks are used to identify transients for phase reset points";
    d.unit = "";
    d.sampleRate = float(rate);
    m_d->m_phaseResetDfOutput = list.size();
    list.push_back(d);

    d.identifier = "smoothedphaseresetdf";
    d.name = "Smoothed Phase Reset Detection Function";
    d.description = "Phase reset curve smoothed for peak picking";
    d.unit = "";
    m_d->m_smoothedPhaseResetDfOutput = list.size();
    list.push_back(d);

    d.identifier = "phaseresetpoints";
    d.name = "Phase Reset Points";
    d.description = "Points estimated as transients at which phase reset occurs";
    d.unit = "";
    d.hasFixedBinCount = true;
    d.binCount = 0;
    d.hasKnownExtents = false;
    d.isQuantized = false;
    d.sampleRate = 0;
    m_d->m_phaseResetPointsOutput = list.size();
    list.push_back(d);

    d.identifier = "timesyncpoints";
    d.name = "Time Sync Points";
    d.description = "Salient points which stretcher aims to place with strictly correct timing";
    d.unit = "";
    d.hasFixedBinCount = true;
    d.binCount = 0;
    d.hasKnownExtents = false;
    d.isQuantized = false;
    d.sampleRate = 0;
    m_d->m_timeSyncPointsOutput = list.size();
    list.push_back(d);

    return list;
}