org.bytedeco.javacpp.Loader Java Examples

The following examples show how to use org.bytedeco.javacpp.Loader. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.

Example #1

Source File: LivePlayTest3.java From oim-fx with MIT License

6 votes

public void run() {
	Loader.load(opencv_objdetect.class);

	try {
		grabber = FFmpegFrameGrabber.createDefault(url);
		grabber.start();
	} catch (Exception e) {
		try {
			grabber.restart();
		} catch (Exception e1) {
		}
	}
	while (true) {
		// try {
		getBufferedImage();
		// sleep(1);
		// } catch (InterruptedException e) {
		// e.printStackTrace();
		// }
	}
}

Example #2

Source File: Nd4jBlas.java From deeplearning4j with Apache License 2.0

6 votes

public Nd4jBlas() {
    int numThreads;
    String skipper = System.getenv(ND4JEnvironmentVars.ND4J_SKIP_BLAS_THREADS);
    if (skipper == null || skipper.isEmpty()) {
        String numThreadsString = System.getenv(ND4JEnvironmentVars.OMP_NUM_THREADS);
        if (numThreadsString != null && !numThreadsString.isEmpty()) {
            numThreads = Integer.parseInt(numThreadsString);
            setMaxThreads(numThreads);
        } else {
            int cores = Loader.totalCores();
            int chips = Loader.totalChips();
            if (cores > 0 && chips > 0)
                numThreads = Math.max(1, cores / chips);
            else
                numThreads = NativeOpsHolder.getCores(Runtime.getRuntime().availableProcessors());
            setMaxThreads(numThreads);
        }

        String logInit = System.getProperty(ND4JSystemProperties.LOG_INITIALIZATION);
        if(logOpenMPBlasThreads() && (logInit == null || logInit.isEmpty() || Boolean.parseBoolean(logInit))) {
            log.info("Number of threads used for OpenMP BLAS: {}", getMaxThreads());
        }
    }
}

Example #3

Source File: FFmpegFrameFilter.java From VideoAndroid with Apache License 2.0

6 votes

public static void tryLoad() throws Exception {
    if (loadingException != null) {
        throw loadingException;
    } else {
        try {
            Loader.load(org.bytedeco.javacpp.avutil.class);
            Loader.load(org.bytedeco.javacpp.avcodec.class);
            Loader.load(org.bytedeco.javacpp.avformat.class);
            Loader.load(org.bytedeco.javacpp.postproc.class);
            Loader.load(org.bytedeco.javacpp.swresample.class);
            Loader.load(org.bytedeco.javacpp.swscale.class);
            Loader.load(org.bytedeco.javacpp.avfilter.class);

            av_register_all();
            avfilter_register_all();
        } catch (Throwable t) {
            if (t instanceof Exception) {
                throw loadingException = (Exception)t;
            } else {
                throw loadingException = new Exception("Failed to load " + FFmpegFrameRecorder.class, t);
            }
        }
    }
}

Example #4

Source File: FFmpegFrameRecorder.java From VideoAndroid with Apache License 2.0

6 votes

public static void tryLoad() throws Exception {
    if (loadingException != null) {
        throw loadingException;
    } else {
        try {
            Loader.load(org.bytedeco.javacpp.avutil.class);
            Loader.load(org.bytedeco.javacpp.swresample.class);
            Loader.load(org.bytedeco.javacpp.avcodec.class);
            Loader.load(org.bytedeco.javacpp.avformat.class);
            Loader.load(org.bytedeco.javacpp.swscale.class);

            /* initialize libavcodec, and register all codecs and formats */
            av_register_all();
            avformat_network_init();
        } catch (Throwable t) {
            if (t instanceof Exception) {
                throw loadingException = (Exception)t;
            } else {
                throw loadingException = new Exception("Failed to load " + FFmpegFrameRecorder.class, t);
            }
        }
    }
}

Example #5

Source File: Nd4jBlas.java From nd4j with Apache License 2.0

6 votes

public Nd4jBlas() {
    int numThreads;
    String skipper = System.getenv("ND4J_SKIP_BLAS_THREADS");
    if (skipper == null || skipper.isEmpty()) {
        String numThreadsString = System.getenv("OMP_NUM_THREADS");
        if (numThreadsString != null && !numThreadsString.isEmpty()) {
            numThreads = Integer.parseInt(numThreadsString);
            setMaxThreads(numThreads);
        } else {
            int cores = Loader.totalCores();
            int chips = Loader.totalChips();
            if (cores > 0 && chips > 0)
                numThreads = Math.max(1, cores / chips);
            else
                numThreads = NativeOps.getCores(Runtime.getRuntime().availableProcessors());
            setMaxThreads(numThreads);
        }
        log.info("Number of threads used for BLAS: {}", getMaxThreads());
    }
}

Example #6

Source File: NativeOpsHolder.java From deeplearning4j with Apache License 2.0

5 votes

private NativeOpsHolder() {
    try {
        Properties props = Nd4jContext.getInstance().getConf();

        String name = System.getProperty(Nd4j.NATIVE_OPS, props.get(Nd4j.NATIVE_OPS).toString());
        Class<? extends NativeOps> nativeOpsClazz = Class.forName(name).asSubclass(NativeOps.class);
        deviceNativeOps = nativeOpsClazz.newInstance();

        deviceNativeOps.initializeDevicesAndFunctions();
        int numThreads;
        String numThreadsString = System.getenv(ND4JEnvironmentVars.OMP_NUM_THREADS);
        if (numThreadsString != null && !numThreadsString.isEmpty()) {
            numThreads = Integer.parseInt(numThreadsString);
            deviceNativeOps.setOmpNumThreads(numThreads);
        } else {
            int cores = Loader.totalCores();
            int chips = Loader.totalChips();
            if (chips > 0 && cores > 0) {
                deviceNativeOps.setOmpNumThreads(Math.max(1, cores / chips));
            } else
                deviceNativeOps.setOmpNumThreads(
                                getCores(Runtime.getRuntime().availableProcessors()));
        }
        //deviceNativeOps.setOmpNumThreads(4);

        String logInitProperty = System.getProperty(ND4JSystemProperties.LOG_INITIALIZATION, "true");
        boolean logInit = Boolean.parseBoolean(logInitProperty);

        if(logInit) {
            log.info("Number of threads used for linear algebra: {}", deviceNativeOps.ompGetMaxThreads());
        }
    } catch (Exception | Error e) {
        throw new RuntimeException(
                        "ND4J is probably missing dependencies. For more information, please refer to: https://deeplearning4j.konduit.ai/nd4j/backend",
                        e);
    }
}

Example #7

Source File: OnnxModelLoader.java From konduit-serving with Apache License 2.0

5 votes

@Override
public Session loadModel() throws Exception {
    Env env = new Env(ORT_LOGGING_LEVEL_WARNING, new BytePointer("konduit-serving-onnx-session" + System.currentTimeMillis()));

    try (SessionOptions sessionOptions = new SessionOptions()) {
        try (Pointer bp = Loader.getPlatform().toLowerCase().startsWith("windows") ? new CharPointer(modelPath) : new BytePointer(modelPath)) {
            return new Session(env, bp, sessionOptions);
        }
    }
}

Example #8

Source File: JCublasBackend.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public boolean canRun() {
    int[] count = { 0 };
    org.bytedeco.cuda.global.cudart.cudaGetDeviceCount(count);
    if (count[0] <= 0) {
        throw new RuntimeException("No CUDA devices were found in system");
    }
    Loader.load(org.bytedeco.cuda.global.cublas.class);

    return true;
}

Example #9

Source File: Nd4jCudaPresets.java From deeplearning4j with Apache License 2.0

5 votes

@Override public void init(ClassProperties properties) {
    String platform = properties.getProperty("platform");
    List<String> preloads = properties.get("platform.preload");
    List<String> resources = properties.get("platform.preloadresource");

    // Only apply this at load time since we don't want to copy the CUDA libraries here
    if (!Loader.isLoadLibraries()) {
        return;
    }
    int i = 0;
    String[] libs = {"cudart", "cublasLt", "cublas", "cusolver", "cusparse", "cudnn"};
    for (String lib : libs) {
        switch (platform) {
            case "linux-arm64":
            case "linux-ppc64le":
            case "linux-x86_64":
            case "macosx-x86_64":
                lib += lib.equals("cudnn") ? "@.7" : lib.equals("cudart") ? "@.10.2" : "@.10";
                break;
            case "windows-x86_64":
                lib += lib.equals("cudnn") ? "64_7" : lib.equals("cudart") ? "64_102" : "64_10";
                break;
            default:
                continue; // no CUDA
        }
        if (!preloads.contains(lib)) {
            preloads.add(i++, lib);
        }
    }
    if (i > 0) {
        resources.add("/org/bytedeco/cuda/");
    }
}

Example #10

Source File: TestNativeImageLoader.java From deeplearning4j with Apache License 2.0

5 votes

org.opencv.core.Mat makeRandomOrgOpenCvCoreMatImage(int height, int width, int channels) {
    Mat img = makeRandomImage(height, width, channels);

    Loader.load(org.bytedeco.opencv.opencv_java.class);
    OpenCVFrameConverter.ToOrgOpenCvCoreMat c = new OpenCVFrameConverter.ToOrgOpenCvCoreMat();

    return c.convert(c.convert(img));
}

Example #11

Source File: NativeOpsHolder.java From nd4j with Apache License 2.0

5 votes

private NativeOpsHolder() {
    try {
        Properties props = Nd4jContext.getInstance().getConf();

        String name = System.getProperty(Nd4j.NATIVE_OPS, props.get(Nd4j.NATIVE_OPS).toString());
        Class<? extends NativeOps> nativeOpsClazz = Class.forName(name).asSubclass(NativeOps.class);
        deviceNativeOps = nativeOpsClazz.newInstance();

        deviceNativeOps.initializeDevicesAndFunctions();
        int numThreads;
        String numThreadsString = System.getenv("OMP_NUM_THREADS");
        if (numThreadsString != null && !numThreadsString.isEmpty()) {
            numThreads = Integer.parseInt(numThreadsString);
            deviceNativeOps.setOmpNumThreads(numThreads);
        } else {
            int cores = Loader.totalCores();
            int chips = Loader.totalChips();
            if (chips > 0 && cores > 0) {
                deviceNativeOps.setOmpNumThreads(Math.max(1, cores / chips));
            } else
                deviceNativeOps.setOmpNumThreads(
                                deviceNativeOps.getCores(Runtime.getRuntime().availableProcessors()));
        }
        //deviceNativeOps.setOmpNumThreads(4);

        log.info("Number of threads used for NativeOps: {}", deviceNativeOps.ompGetMaxThreads());
    } catch (Exception | Error e) {
        throw new RuntimeException(
                        "ND4J is probably missing dependencies. For more information, please refer to: http://nd4j.org/getstarted.html",
                        e);
    }
}

Example #12

Source File: JCublasBackend.java From nd4j with Apache License 2.0

5 votes

@Override
public boolean canRun() {
    int[] count = { 0 };
    cuda.cudaGetDeviceCount(count);
    if (count[0] <= 0) {
        throw new RuntimeException("No CUDA devices were found in system");
    }
    Loader.load(cublas.class);
    return true;
}

Example #13

Source File: Builder.java From tapir with MIT License

5 votes

/** Sets the {@link #properties} field to the ones loaded from resources for the specified platform. */
public Builder properties(String platform) {
    if (platform != null) {
        properties = Loader.loadProperties(platform);
    }
    return this;
}

Example #14

Source File: Builder.java From tapir with MIT License

5 votes

/**
 * Constructor that simply initializes everything.
 * @param logger where to send messages
 */
public Builder(Logger logger) {
    this.logger = logger;
    System.setProperty("org.bytedeco.javacpp.loadlibraries", "false");
    properties = Loader.loadProperties();
    classScanner = new ClassScanner(logger, new LinkedList<Class>(),
            new UserClassLoader(Thread.currentThread().getContextClassLoader()));
    compilerOptions = new LinkedList<String>();
}

Example #15