use of spacegraph.space2d.container.Gridding in project narchy by automenta.
the class WaveCapture method view.
// private final boolean normalizeDisplayedWave = false;
public Surface view() {
final Plot2D.Series rawWave, wavelet1d;
rawWave = new Plot2D.Series("Audio", 1) {
@Override
public void update() {
clear();
float[] samples = WaveCapture.this.samples;
if (samples == null)
return;
// samples[0] = null;
int chans = WaveCapture.this.source.channelsPerSample();
int bufferSamples = Math.min(WaveCapture.this.bufferSamples, samples.length / chans);
switch(chans) {
case 1:
for (int i = 0; i < bufferSamples; i++) add(samples[i]);
break;
case 2:
for (int i = 0; i < bufferSamples; ) // to mono
add((samples[i++] + samples[i++]) / 2f);
break;
default:
throw new UnsupportedOperationException();
}
// minValue = -0.5f;
// maxValue = 0.5f;
// if (normalizeDisplayedWave) {
// autorange();
// } else {
// minValue = -1;
// maxValue = +1;
// }
// final FloatArrayList history = this.history;
//
// for (int i = 0; i < nSamplesRead; i++) {
// history.add((float) samples[i]);
// }
//
// while (history.size() > maxHistory)
// history.removeAtIndex(0);
// minValue = Float.POSITIVE_INFINITY;
// maxValue = Float.NEGATIVE_INFINITY;
//
// history.forEach(v -> {
// if (Double.isFinite(v)) {
// if (v < minValue) minValue = v;
// if (v > maxValue) maxValue = v;
// }
// //mean += v;
// });
}
};
wavelet1d = new Plot2D.Series("Wavelet", 1) {
final float[] transformedSamples = new float[Util.largestPowerOf2NoGreaterThan(bufferSamples)];
final AtomicBoolean busy = new AtomicBoolean();
{
frame.on((w) -> {
if (!busy.compareAndSet(false, true))
return;
FloatArrayList history = this;
// for (short s : ss) {
// history.add((float)s);
// }
//
//
// while (history.size() > maxHistory)
// history.removeAtIndex(0);
//
// while (history.size() < maxHistory)
// history.add(0);
final int bufferSamples = Math.min(samples.length, WaveCapture.this.bufferSamples);
float[] ss = transformedSamples;
// 1d haar wavelet transform
// OneDHaar.displayOrderedFreqsFromInPlaceHaar(x);
// the remainder will be zero
System.arraycopy(samples, 0, ss, 0, bufferSamples);
OneDHaar.inPlaceFastHaarWaveletTransform(ss);
sampleFrequency(ss);
// OneDHaar.displayOrderedFreqsFromInPlaceHaar(samples, System.out);
// //apache commons math - discrete cosine transform
// {
// double[] dsamples = new double[samples.length + 1];
// for (int i = 0; i < samples.length; i++)
// dsamples[i] = samples[i];
// dsamples = new FastCosineTransformer(DctNormalization.STANDARD_DCT_I).transform(dsamples, TransformType.FORWARD);
// for (int i = 0; i < samples.length; i++)
// samples[i] = (float) dsamples[i];
// }
history.clear();
for (int i = 0; i < bufferSamples; i++) history.addAll(ss[i]);
// minValue = Short.MIN_VALUE;
// maxValue = Short.MAX_VALUE;
// if (normalizeDisplayedWave) {
// minValue = Float.POSITIVE_INFINITY;
// maxValue = Float.NEGATIVE_INFINITY;
//
// history.forEach(v -> {
// //if (Float.isFinite(v)) {
// if (v < minValue) minValue = v;
// if (v > maxValue) maxValue = v;
// //}
// //mean += v;
// });
// } else {
// minValue = -1f;
// maxValue = 1f;
// }
// System.out.println(maxHistory + " " + start + " " + end + ": " + minValue + " " + maxValue);
busy.set(false);
});
}
private void sampleFrequency(float[] freqSamples) {
int lastFrameIdx = data.length - freqSamplesPerFrame;
int samples = freqSamples.length;
float bandWidth = ((float) samples) / freqSamplesPerFrame;
float sensitivity = 1f;
final Envelope uniform = (i, k) -> {
float centerFreq = (0.5f + i) * bandWidth;
return 1f / (1f + Math.abs(k - centerFreq) / (bandWidth / sensitivity));
};
System.arraycopy(data, 0, data, freqSamplesPerFrame, lastFrameIdx);
float[] h = WaveCapture.this.data;
// int f = freqOffset;
// int freqSkip = 1;
// for (int i = 0; i < freqSamplesPerFrame; i++) {
// h[n++] = freqSamples[f];
// f+=freqSkip*2;
// }
float max = Float.NEGATIVE_INFINITY, min = Float.POSITIVE_INFINITY;
for (int i = 0; i < freqSamplesPerFrame; i++) {
float s = 0;
for (int k = 0; k < samples; k++) {
float fk = freqSamples[k];
s += uniform.apply(i, k) * fk;
}
if (s > max)
max = s;
if (s < min)
min = s;
h[i] = s;
}
if (max != min) {
// TODO epsilon check
float range = max - min;
for (int i = 0; i < freqSamplesPerFrame; i++) dataNorm[i] = (data[i] - min) / range;
}
// System.arraycopy(freqSamples, 0, history, 0, freqSamplesPerFrame);
}
};
rawWave.range(-1, +1);
wavelet1d.range(-1, +1);
// , bufferSamples, 450, 60);
Plot2D audioPlot = new Plot2D(bufferSamples, Plot2D.Line);
audioPlot.add(rawWave);
Plot2D audioPlot2 = new Plot2D(bufferSamples, Plot2D.Line);
audioPlot2.add(wavelet1d);
BitmapMatrixView freqHistory = new BitmapMatrixView(freqSamplesPerFrame, historyFrames, (x, y) -> {
if (data == null)
// HACK
return 0;
float kw = (data[y * freqSamplesPerFrame + x]);
// int kw = (int)(v*255);
return Draw.rgbInt(kw >= 0 ? kw : 0, kw < 0 ? -kw : 0, 0);
});
Gridding v = new Gridding(audioPlot, audioPlot2, freqHistory);
if (source instanceof AudioSource)
v.add(new FloatSlider(((AudioSource) source).gain));
frame.on(() -> {
freqHistory.update();
audioPlot.update();
audioPlot2.update();
// wav2.update();
});
return v;
}
use of spacegraph.space2d.container.Gridding in project narchy by automenta.
the class AllOrNothingSlider method AllOrNothingSlider.
public static Gridding AllOrNothingSlider(FloatSlider f) {
PushButton zeroButton = new PushButton("-").click((cb) -> f.valueRelative(0f));
PushButton oneButton = new PushButton("+").click((cb) -> f.valueRelative(1f));
return new Gridding(Gridding.HORIZONTAL, f, new Gridding(Gridding.VERTICAL, zeroButton, oneButton));
}
use of spacegraph.space2d.container.Gridding in project narchy by automenta.
the class SSHSurface method main.
public static void main(String[] args) {
PhyWall w = SpaceGraph.wall(800, 600);
w.put(new Gridding(new SSHSurface()), 8, 6);
w.put(new Gridding(new AWTSurface(new JColorChooser(), 200, 200)), 3, 3);
}
use of spacegraph.space2d.container.Gridding in project narchy by automenta.
the class ImageTexture method main.
public static void main(String[] args) throws MalformedURLException {
// pngquant 2 wrench.png --speed 1 --quality 0 --nofs
String file = "/home/me/Font-Awesome-SVG-PNG/white/png/x128/wrench-fs8.png";
SpaceGraph.window(new Gridding(// new ImageTexture(new File(file)).view(),
new ImageTexture("fontawesome://wrench").view(), new ImageTexture("fontawesome://feed").view(), new ImageTexture("fontawesome://space-shuttle").view(), new ImageTexture("fontawesome://youtube").view(), new ImageTexture(new File(file)).view()), 500, 500);
}
use of spacegraph.space2d.container.Gridding in project narchy by automenta.
the class TensorGlow method main.
public static void main(String[] args) {
PhyWall p = SpaceGraph.wall(1200, 1000);
p.W.setGravity(new v2(0, -2.8f));
staticBox(p.W, -5, -8, +5, 2f, false, true, true, true);
for (int j = 0; j < 3; j++) {
BodyDef bodyDef2 = new BodyDef();
bodyDef2.type = BodyType.DYNAMIC;
// otocenie
bodyDef2.angle = -0.6f;
// smer pohybu
bodyDef2.linearVelocity = new v2(0.0f, 0.0f);
// rotacia (rychlost rotacie)
bodyDef2.angularVelocity = 0.0f;
Body2D newBody = p.W.addBody(bodyDef2);
PolygonShape shape2 = new PolygonShape();
shape2.setAsBox(0.25f, 0.25f);
Fixture f = newBody.addFixture(shape2, 1.0f);
// trenie
f.friction = 0.5f;
// odrazivost
f.restitution = 0.0f;
f.material = new Uniform();
f.material.m_rigidity = 1.0f;
}
// //ceiling rack
// addBox(p.W, -1, +0.4f, 0, +0.65f, false, true, true, true);
// new Pacman(p.W);
{
p.W.setContactListener(new Explosives.ExplosionContacts());
TheoJansen t = new TheoJansen(p.W, 0.35f);
PhyWall.PhyWindow pw = p.put(new Gridding(0.5f, new Port((float[] v) -> {
// System.out.println(v);
t.motorJoint.setMotorSpeed(v[0] * 2 - v[1] * 2);
t.motorJoint.setMaxMotorTorque(v[2]);
t.motorJoint.enableLimit(true);
t.motorJoint.setLimits((float) (-v[3] * Math.PI), (float) (+v[4] * Math.PI));
if (v[5] > 0.5f) {
t.gun.fire();
}
t.turretJoint.setLimits((float) (+Math.PI / 2 + v[6] * Math.PI - 0.1f), (float) (+Math.PI / 2 + v[6] * Math.PI + 0.1f));
})), 0.8f, 0.4f);
p.W.addJoint(new RevoluteJoint(p.W, new RevoluteJointDef(pw.body, t.chassis)));
}
{
p.W.setParticleRadius(0.05f);
p.W.setParticleDamping(0.1f);
CircleShape shape = new CircleShape();
shape.center.set(0, 10);
shape.radius = 2f;
ParticleGroupDef pd = new ParticleGroupDef();
pd.flags = ParticleType.b2_waterParticle;
// b2_viscousParticle;
// b2_elasticParticle;
// b2_springParticle;
// b2_powderParticle;
pd.color = new ParticleColor(0.7f, 0.1f, 0.1f, 0.8f);
pd.shape = shape;
p.W.addParticles(pd);
}
HaiQae q = new HaiQae(8, 2);
float[] in = new float[q.ae.inputs()];
final Tensor randomVector = Tensor.randomVectorGauss(in.length, 0, 1, rng);
final FloatRange lerpRate = new FloatRange(0.01f, 0, 1f);
final TensorLERP lerpVector = new TensorLERP(randomVector, lerpRate);
PhyWall.PhyWindow w = p.put(new Gridding(0.25f, new AutoUpdateMatrixView(lerpVector.data), new LabeledPane("lerp", new XYSlider().on((x, y) -> {
lerpRate.set(x);
})), new LabeledPane("out", new Port((x) -> {
}) {
@Override
public void prePaint(int dtMS) {
super.prePaint(dtMS);
out(lerpVector.data);
}
})), 0.5f, 0.5f);
p.put(new TogglePort(), 0.25f, 0.25f);
PhyWall.PhyWindow qw = p.put(new Gridding(new Label("HaiQ"), new AutoSurface<>(q), new LabeledPane("input", new Port((float[] i) -> {
System.arraycopy(i, 0, in, 0, i.length);
})), new Gridding(VERTICAL, new AutoUpdateMatrixView(in), new AutoUpdateMatrixView(q.ae.x), new AutoUpdateMatrixView(q.ae.W), new AutoUpdateMatrixView(q.ae.y)), new Gridding(VERTICAL, new AutoUpdateMatrixView(q.q), new AutoUpdateMatrixView(q.et))), 1, 1);
Loop.of(() -> {
lerpVector.update();
q.act((((float) Math.random()) - 0.5f) * 2, in);
}).runFPS(25);
}
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