Paul Davis
01d57ff3e7
git-svn-id: svn://localhost/ardour2/branches/3.0@13856 d708f5d6-7413-0410-9779-e7cbd77b26cf
148 lines
3.1 KiB
C++
148 lines
3.1 KiB
C++
/*
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Copyright (C) 2012 Paul Davis
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program; if not, write to the Free Software
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Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
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*/
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#include <cmath>
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#include "ardour/onset_detector.h"
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#include "i18n.h"
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using namespace Vamp;
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using namespace ARDOUR;
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using namespace std;
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/* need a static initializer function for this */
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string OnsetDetector::_op_id = X_("libardourvampplugins:aubioonset:2");
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OnsetDetector::OnsetDetector (float sr)
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: AudioAnalyser (sr, X_("libardourvampplugins:aubioonset"))
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, current_results (0)
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{
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/* update the op_id */
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_op_id = X_("libardourvampplugins:aubioonset");
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// XXX this should load the above-named plugin and get the current version
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_op_id += ":2";
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}
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OnsetDetector::~OnsetDetector()
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{
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}
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string
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OnsetDetector::operational_identifier()
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{
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return _op_id;
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}
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int
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OnsetDetector::run (const std::string& path, Readable* src, uint32_t channel, AnalysisFeatureList& results)
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{
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current_results = &results;
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int ret = analyse (path, src, channel);
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current_results = 0;
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return ret;
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}
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int
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OnsetDetector::use_features (Plugin::FeatureSet& features, ostream* out)
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{
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const Plugin::FeatureList& fl (features[0]);
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for (Plugin::FeatureList::const_iterator f = fl.begin(); f != fl.end(); ++f) {
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if ((*f).hasTimestamp) {
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if (out) {
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(*out) << (*f).timestamp.toString() << endl;
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}
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current_results->push_back (RealTime::realTime2Frame ((*f).timestamp, (framecnt_t) floor(sample_rate)));
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}
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}
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return 0;
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}
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void
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OnsetDetector::set_silence_threshold (float val)
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{
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if (plugin) {
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plugin->setParameter ("silencethreshold", val);
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}
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}
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void
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OnsetDetector::set_peak_threshold (float val)
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{
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if (plugin) {
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plugin->setParameter ("peakpickthreshold", val);
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}
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}
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void
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OnsetDetector::set_function (int val)
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{
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if (plugin) {
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plugin->setParameter ("onsettype", (float) val);
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}
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}
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void
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OnsetDetector::cleanup_onsets (AnalysisFeatureList& t, float sr, float gap_msecs)
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{
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if (t.empty()) {
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return;
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}
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t.sort ();
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/* remove duplicates or other things that are too close */
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AnalysisFeatureList::iterator i = t.begin();
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AnalysisFeatureList::iterator f, b;
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const framecnt_t gap_frames = (framecnt_t) floor (gap_msecs * (sr / 1000.0));
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while (i != t.end()) {
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// move front iterator to just past i, and back iterator the same place
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f = i;
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++f;
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b = f;
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// move f until we find a new value that is far enough away
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while ((f != t.end()) && (((*f) - (*i)) < gap_frames)) {
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++f;
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}
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i = f;
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// if f moved forward from b, we had duplicates/too-close points: get rid of them
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if (b != f) {
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t.erase (b, f);
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}
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}
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}
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