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/*
* SPDX-FileCopyrightText: 2015 Dmitry Kazakov <dimula73@gmail.com>
*
* SPDX-License-Identifier: GPL-2.0-or-later
*/
#include "kis_speed_smoother.h"
#include <boost/circular_buffer.hpp>
#include <QElapsedTimer>
#include <QPointF>
#include "kis_debug.h"
#include "kis_global.h"
#include "kis_config.h"
#define MAX_SMOOTH_HISTORY 512
#define NUM_SMOOTHING_SAMPLES 3
#define MIN_TRACKING_DISTANCE 5
#include "kis_algebra_2d.h"
#include "KisFilteredRollingMean.h"
struct KisSpeedSmoother::Private
{
Private(int historySize)
: distances(historySize),
timeDiffsMean(200, 0.8)
{
timer.start();
}
struct DistancePoint {
DistancePoint()
: distance(0.0)
, time(0.0)
{
}
DistancePoint(qreal _distance, qreal _time)
: distance(_distance)
, time(_time)
{
}
qreal distance {0.0};
qreal time {0.0};
};
typedef boost::circular_buffer<DistancePoint> DistanceBuffer;
DistanceBuffer distances;
KisFilteredRollingMean timeDiffsMean;
QPointF lastPoint;
QElapsedTimer timer;
qreal lastTime {0.0};
qreal lastSpeed {0.0};
bool useTimestamps {false};
int numSmoothingSamples {3};
};
KisSpeedSmoother::KisSpeedSmoother()
: m_d(new Private(MAX_SMOOTH_HISTORY))
{
updateSettings();
}
KisSpeedSmoother::~KisSpeedSmoother()
{
}
qreal KisSpeedSmoother::lastSpeed() const
{
return m_d->lastSpeed;
}
qreal KisSpeedSmoother::getNextSpeed(const QPointF &pt, ulong timestamp)
{
const qreal time = m_d->useTimestamps ?
qreal(timestamp) :
qreal(m_d->timer.nsecsElapsed()) / 1000000;
return getNextSpeedImpl(pt, time);
}
void KisSpeedSmoother::clear()
{
m_d->timer.restart();
m_d->distances.clear();
m_d->distances.push_back(Private::DistancePoint(0.0, 0.0));
m_d->lastPoint = QPointF();
m_d->lastSpeed = 0.0;
}
void KisSpeedSmoother::updateSettings()
{
KisConfig cfg(true);
m_d->useTimestamps = cfg.readEntry("useTimestampsForBrushSpeed", false);
m_d->numSmoothingSamples = cfg.readEntry("speedValueSmoothing", 3);
}
qreal KisSpeedSmoother::getNextSpeedImpl(const QPointF &pt, qreal time)
{
const qreal dist = kisDistance(pt, m_d->lastPoint);
if (m_d->lastPoint.isNull()) {
m_d->lastPoint = pt;
m_d->lastTime = time;
m_d->lastSpeed = 0.0;
return 0.0;
}
const qreal timeDiff = time - m_d->lastTime;
m_d->timeDiffsMean.addValue(timeDiff);
const qreal avgTimeDiff = m_d->timeDiffsMean.filteredMean();
m_d->lastPoint = pt;
m_d->lastTime = time;
m_d->distances.push_back(Private::DistancePoint(dist, time));
Private::DistanceBuffer::const_reverse_iterator it = m_d->distances.rbegin();
Private::DistanceBuffer::const_reverse_iterator end = m_d->distances.rend();
qreal totalDistance = 0;
qreal totalTime = 0.0;
int itemsSearched = 0;
for (; it != end; ++it) {
itemsSearched++;
totalDistance += it->distance;
/**
* Mind you, we don't care about the specific timestamps
* of the tablet events! They are not reliable. Instead,
* we are trying to estimate the sample rate of the tablet
* itself using the filtered mean accumulator. It works in
* an assumption that all the tablets generate events at a
* fixed sample rate.
*/
totalTime += avgTimeDiff;
if (itemsSearched > m_d->numSmoothingSamples &&
totalDistance > MIN_TRACKING_DISTANCE) {
break;
}
}
if (totalTime > 0 && totalDistance > MIN_TRACKING_DISTANCE) {
m_d->lastSpeed = totalDistance / totalTime;
}
return m_d->lastSpeed;
}
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