Mercurial > hg > svcore
view data/model/RangeSummarisableTimeValueModel.h @ 1638:b57a75aa5ae3 single-point
Add getEventsStartingWithin
author | Chris Cannam |
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date | Wed, 13 Mar 2019 10:55:02 +0000 |
parents | c01cbe41aeb5 |
children | c3b5564cfb78 |
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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 file copyright 2006-2007 Chris Cannam and QMUL. 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. */ #ifndef SV_RANGE_SUMMARISABLE_TIME_VALUE_MODEL_H #define SV_RANGE_SUMMARISABLE_TIME_VALUE_MODEL_H #include <QObject> #include "DenseTimeValueModel.h" #include <stdint.h> /** * Base class for models containing dense two-dimensional data (value * against time) that may be meaningfully represented in a zoomed view * using min/max range summaries. Audio waveform data is an obvious * example: think "peaks and minima" for "ranges". */ class RangeSummarisableTimeValueModel : public DenseTimeValueModel { Q_OBJECT public: RangeSummarisableTimeValueModel() { } class Range { public: Range() : m_new(true), m_min(0.f), m_max(0.f), m_absmean(0.f) { } Range(const Range &r) : m_new(true), m_min(r.m_min), m_max(r.m_max), m_absmean(r.m_absmean) { } Range(float min, float max, float absmean) : m_new(true), m_min(min), m_max(max), m_absmean(absmean) { } float min() const { return m_min; } float max() const { return m_max; } float absmean() const { return m_absmean; } void setMin(float min) { m_min = min; m_new = false; } void setMax(float max) { m_max = max; m_new = false; } void setAbsmean(float absmean) { m_absmean = absmean; } void sample(float s) { if (m_new) { m_min = s; m_max = s; m_new = false; } else { if (s < m_min) m_min = s; if (s > m_max) m_max = s; } } private: bool m_new; float m_min; float m_max; float m_absmean; }; typedef std::vector<Range> RangeBlock; /** * Return ranges from the given start frame, corresponding to the * given number of underlying sample frames, summarised at the * given block size. duration / blockSize ranges should ideally * be returned. * * If the given block size is not supported by this model * (according to its zoom constraint), also modify the blockSize * parameter so as to return the block size that was actually * obtained. */ virtual void getSummaries(int channel, sv_frame_t start, sv_frame_t count, RangeBlock &ranges, int &blockSize) const = 0; /** * Return the range from the given start frame, corresponding to * the given number of underlying sample frames, summarised at a * block size equal to the distance between start and end frames. */ virtual Range getSummary(int channel, sv_frame_t start, sv_frame_t count) const = 0; virtual int getSummaryBlockSize(int desired) const = 0; QString getTypeName() const override { return tr("Range-Summarisable Time-Value"); } }; #endif