Examples with AspectAlign spacegraph.space2d.container.AspectAlign used on opensource projects

Example 1 with AspectAlign

use of spacegraph.space2d.container.AspectAlign in project narchy by automenta.

the class NAgentX method chart.

public static void chart(NAgent a) {
    NAR nar = a.nar();
    nar.runLater(() -> {
        SpaceGraph.window(grid(new AutoSurface(a), Vis.beliefCharts(nar.dur() * 64, a.actions.keySet(), a.nar()), new EmotionPlot(64, a), grid(// concept query box
        new TextEdit() {

            @Override
            protected void onKeyEnter() {
                String s = text();
                text("");
                try {
                    nar.conceptualize(s);
                } catch (Narsese.NarseseException e) {
                    e.printStackTrace();
                }
                Vis.conceptWindow(s, nar);
            }
        }.surface(), // new WindowButton("log", () -> Vis.logConsole(nar, 80, 25, new FloatParam(0f))),
        new PushButton("dump", () -> {
            try {
                nar.output(Files.createTempFile(a.toString(), "" + System.currentTimeMillis()).toFile(), false);
            } catch (IOException e) {
                e.printStackTrace();
            }
        }), new PushButton("clear", () -> {
            nar.runLater(NAR::clear);
        }), new PushButton("prune", () -> {
            nar.runLater(() -> {
                DoubleHistogram i = new DoubleHistogram(2);
                nar.tasks(true, false, false, false).forEach(t -> i.recordValue(t.conf()));
                float confThresh = (float) i.getValueAtPercentile(25);
                nar.tasks(true, false, false, false).filter(t -> t.conf() < confThresh).forEach(Task::delete);
            });
        }), new WindowToggleButton("top", () -> new ConsoleTerminal(new nars.TextUI(nar).session(10f))), new WindowToggleButton("concept graph", () -> {
            DynamicConceptSpace sg;
            SpaceGraphPhys3D s = new SpaceGraphPhys3D<>(sg = new DynamicConceptSpace(nar, () -> nar.exe.active().iterator(), 128, 16));
            EdgeDirected fd = new EdgeDirected();
            s.dyn.addBroadConstraint(fd);
            fd.attraction.set(fd.attraction.get() * 8);
            s.add(new SubOrtho(// window(
            grid(new AutoSurface<>(fd), new AutoSurface<>(sg.vis))) {
            }.posWindow(0, 0, 1f, 0.2f));
            // ,  400, 400);
            // .pos(0, 0, 0.5f, 0.5f)
            s.camPos(0, 0, 90);
            return s;
        }), a instanceof NAgentX ? new WindowToggleButton("vision", () -> grid(((NAgentX) a).sensorCam.stream().map(cs -> new AspectAlign(new CameraSensorView(cs, a).withControls(), AspectAlign.Align.Center, cs.width, cs.height)).toArray(Surface[]::new))) : grid())), // 
        900, 600);
    });
}

Example 2 with AspectAlign

use of spacegraph.space2d.container.AspectAlign in project narchy by automenta.

the class Recog2D method conceptTraining.

Surface conceptTraining(BeliefVector tv, NAR nar) {
    // LinkedHashMap<TaskConcept, BeliefVector.Neuron> out = tv.out;
    Plot2D p;
    int history = 256;
    Gridding g = new Gridding(p = new Plot2D(history, Plot2D.Line).add("Reward", () -> reward), new AspectAlign(new CameraSensorView(sp, this), AspectAlign.Align.Center, sp.width, sp.height), new Gridding(beliefTableCharts(nar, List.of(tv.concepts), 16)), new Gridding(IntStream.range(0, tv.concepts.length).mapToObj(i -> new spacegraph.space2d.widget.text.Label(String.valueOf(i)) {

        @Override
        protected void paintBelow(GL2 gl) {
            Concept c = tv.concepts[i];
            BeliefVector.Neuron nn = tv.neurons[i];
            float freq, conf;
            Truth t = nar.beliefTruth(c, nar.time());
            if (t != null) {
                conf = t.conf();
                freq = t.freq();
            } else {
                conf = nar.confMin.floatValue();
                float defaultFreq = // interpret no-belief as maybe
                0.5f;
                // Float.NaN  //use NaN to force learning of negation as separate from no-belief
                freq = defaultFreq;
            }
            Draw.colorBipolar(gl, 2f * (freq - 0.5f));
            float m = 0.5f * conf;
            Draw.rect(gl, bounds);
            if (tv.verify) {
                float error = nn.error;
                if (error != error) {
                // training phase
                // Draw.rect(gl, m / 2, m / 2, 1 - m, 1 - m);
                } else {
                // verification
                // draw backgroudn/border
                // gl.glColor3f(error, 1f - error, 0f);
                // 
                // float fontSize = 0.08f;
                // gl.glColor3f(1f, 1f, 1f);
                // Draw.text(gl, c.term().toString(), fontSize, m / 2, 1f - m / 2, 0);
                // Draw.text(gl, "err=" + n2(error), fontSize, m / 2, m / 2, 0);
                }
            }
        }
    }).toArray(Surface[]::new)));
    final int[] frames = { 0 };
    onFrame(() -> {
        if (frames[0]++ % imagePeriod == 0) {
            nextImage();
        }
        redraw();
        // if (neural.get()) {
        // if (nar.time() < trainFrames) {
        outs.expect(image);
        if (neural.get()) {
            train.update(mlpLearn, mlpSupport);
        }
        p.update();
    // s.update();
    });
    return g;
}