Examples with StreamNanoHTTPD com.simiacryptus.util.StreamNanoHTTPD used on opensource projects

Example 1 with StreamNanoHTTPD

use of com.simiacryptus.util.StreamNanoHTTPD in project MindsEye by SimiaCryptus.

the class ArtistryAppBase method init.

/**
 * Init.
 *
 * @param log the log
 */
public void init(final NotebookOutput log) {
    try {
        server = new StreamNanoHTTPD(9090).init();
        server.addSyncHandler("gpu.json", MimeType.JSON, out -> {
            try {
                JsonUtil.MAPPER.writer().writeValue(out, CudaSystem.getExecutionStatistics());
                // JsonUtil.MAPPER.writer().writeValue(out, new HashMap<>());
                out.close();
            } catch (IOException e) {
                throw new RuntimeException(e);
            }
        }, false);
    // server.dataReciever
    // server.init();
    // server.start();
    } catch (IOException e) {
        throw new RuntimeException(e);
    }
    @Nonnull String logName = "cuda_" + log.getName() + ".log";
    log.p(log.file((String) null, logName, "GPU Log"));
    CudaSystem.addLog(new PrintStream(log.file(logName)));
}

Example 2 with StreamNanoHTTPD

use of com.simiacryptus.util.StreamNanoHTTPD in project MindsEye by SimiaCryptus.

the class DeepDream method train.

/**
 * Train buffered image.
 *
 * @param server          the server
 * @param log             the log
 * @param canvasImage     the canvas image
 * @param network         the network
 * @param precision       the precision
 * @param trainingMinutes the training minutes
 * @return the buffered image
 */
@Nonnull
public BufferedImage train(final StreamNanoHTTPD server, @Nonnull final NotebookOutput log, final BufferedImage canvasImage, final PipelineNetwork network, final Precision precision, final int trainingMinutes) {
    System.gc();
    Tensor canvas = Tensor.fromRGB(canvasImage);
    TestUtil.monitorImage(canvas, false, false);
    network.setFrozen(true);
    ArtistryUtil.setPrecision(network, precision);
    @Nonnull Trainable trainable = new ArrayTrainable(network, 1).setVerbose(true).setMask(true).setData(Arrays.asList(new Tensor[][] { { canvas } }));
    TestUtil.instrumentPerformance(network);
    if (null != server)
        ArtistryUtil.addLayersHandler(network, server);
    log.code(() -> {
        @Nonnull ArrayList<StepRecord> history = new ArrayList<>();
        new IterativeTrainer(trainable).setMonitor(TestUtil.getMonitor(history)).setIterationsPerSample(100).setOrientation(new TrustRegionStrategy() {

            @Override
            public TrustRegion getRegionPolicy(final Layer layer) {
                return new RangeConstraint();
            }
        }).setLineSearchFactory(name -> new BisectionSearch().setSpanTol(1e-1).setCurrentRate(1e3)).setTimeout(trainingMinutes, TimeUnit.MINUTES).setTerminateThreshold(Double.NEGATIVE_INFINITY).runAndFree();
        return TestUtil.plot(history);
    });
    return canvas.toImage();
}

Example 3 with StreamNanoHTTPD

use of com.simiacryptus.util.StreamNanoHTTPD in project MindsEye by SimiaCryptus.

the class StyleTransfer method styleTransfer.

/**
 * Style transfer buffered image.
 *
 * @param server          the server
 * @param log             the log
 * @param canvasImage     the canvas image
 * @param styleParameters the style parameters
 * @param trainingMinutes the training minutes
 * @param measureStyle    the measure style
 * @return the buffered image
 */
public BufferedImage styleTransfer(final StreamNanoHTTPD server, @Nonnull final NotebookOutput log, final BufferedImage canvasImage, final StyleSetup<T> styleParameters, final int trainingMinutes, final NeuralSetup measureStyle) {
    BufferedImage result = ArtistryUtil.logExceptionWithDefault(log, () -> {
        log.p("Input Content:");
        log.p(log.image(styleParameters.contentImage, "Content Image"));
        log.p("Style Content:");
        styleParameters.styleImages.forEach((file, styleImage) -> {
            log.p(log.image(styleImage, file));
        });
        log.p("Input Canvas:");
        log.p(log.image(canvasImage, "Input Canvas"));
        System.gc();
        Tensor canvas = Tensor.fromRGB(canvasImage);
        TestUtil.monitorImage(canvas, false, false);
        log.p("Input Parameters:");
        log.code(() -> {
            return ArtistryUtil.toJson(styleParameters);
        });
        Trainable trainable = log.code(() -> {
            PipelineNetwork network = fitnessNetwork(measureStyle);
            network.setFrozen(true);
            ArtistryUtil.setPrecision(network, styleParameters.precision);
            TestUtil.instrumentPerformance(network);
            if (null != server)
                ArtistryUtil.addLayersHandler(network, server);
            return new ArrayTrainable(network, 1).setVerbose(true).setMask(true).setData(Arrays.asList(new Tensor[][] { { canvas } }));
        });
        log.code(() -> {
            @Nonnull ArrayList<StepRecord> history = new ArrayList<>();
            new IterativeTrainer(trainable).setMonitor(TestUtil.getMonitor(history)).setOrientation(new TrustRegionStrategy() {

                @Override
                public TrustRegion getRegionPolicy(final Layer layer) {
                    return new RangeConstraint().setMin(1e-2).setMax(256);
                }
            }).setIterationsPerSample(100).setLineSearchFactory(name -> new BisectionSearch().setSpanTol(1e-1).setCurrentRate(1e6)).setTimeout(trainingMinutes, TimeUnit.MINUTES).setTerminateThreshold(Double.NEGATIVE_INFINITY).runAndFree();
            return TestUtil.plot(history);
        });
        return canvas.toImage();
    }, canvasImage);
    log.p("Output Canvas:");
    log.p(log.image(result, "Output Canvas"));
    return result;
}

Example 4 with StreamNanoHTTPD

use of com.simiacryptus.util.StreamNanoHTTPD in project MindsEye by SimiaCryptus.

the class NotebookReportBase method getLog.

/**
 * Gets log.
 *
 * @param logPath the log path
 * @return the log
 */
@Nonnull
public NotebookOutput getLog(CharSequence... logPath) {
    try {
        if (useMarkdown) {
            return MarkdownNotebookOutput.get(getTargetClass(), absoluteUrl, logPath);
        } else {
            @Nonnull final CharSequence directoryName = new SimpleDateFormat("YYYY-MM-dd-HH-mm").format(new Date());
            @Nonnull final File path = new File(Util.mkString(File.separator, "www", directoryName));
            path.mkdirs();
            @Nonnull final File logFile = new File(path, "index.html");
            @Nonnull final HtmlNotebookOutput log;
            if (preferStatic) {
                log = new HtmlNotebookOutput(path, new FileOutputStream(logFile));
                Desktop.getDesktop().browse(logFile.toURI());
            } else {
                @Nonnull final StreamNanoHTTPD server = new StreamNanoHTTPD(1999, "text/html", logFile).init();
                log = new HtmlNotebookOutput(path, server.dataReciever);
            }
            return log;
        }
    } catch (@Nonnull final IOException e) {
        throw new RuntimeException(e);
    }
}

Example 5 with StreamNanoHTTPD

use of com.simiacryptus.util.StreamNanoHTTPD in project MindsEye by SimiaCryptus.

the class ImageDecompositionLab method report.

/**
 * Gets log.
 *
 * @return the log
 */
@Nonnull
public HtmlNotebookOutput report() {
    try {
        @Nonnull final CharSequence directoryName = new SimpleDateFormat("YYYY-MM-dd-HH-mm").format(new Date());
        @Nonnull final File path = new File(Util.mkString(File.separator, "www", directoryName));
        path.mkdirs();
        @Nonnull final File logFile = new File(path, "index.html");
        @Nonnull final StreamNanoHTTPD server = new StreamNanoHTTPD(1999, "text/html", logFile).init();
        @Nonnull final HtmlNotebookOutput log = new HtmlNotebookOutput(path, server.dataReciever);
        return log;
    } catch (@Nonnull final IOException e) {
        throw new RuntimeException(e);
    }
}