Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
..
Failed to load latest commit information.
platform * Upgrade presets for OpenCV 3.4.3 Sep 9, 2018
src/main * Upgrade presets for OpenCV 3.4.3 Sep 9, 2018
COPYING.libwebp Add missing license files for OpenCV, FFmpeg, HDF5, and Leptonica Aug 3, 2018
COPYRIGHT.libtiff Add missing license files for OpenCV, FFmpeg, HDF5, and Leptonica Aug 3, 2018
LICENSE Add missing license files for OpenCV, FFmpeg, HDF5, and Leptonica Aug 3, 2018
LICENSE.ittnotify Add missing license files for OpenCV, FFmpeg, HDF5, and Leptonica Aug 3, 2018
LICENSE.libjasper Add missing license files for OpenCV, FFmpeg, HDF5, and Leptonica Aug 3, 2018
LICENSE.libjpeg-turbo Add missing license files for OpenCV, FFmpeg, HDF5, and Leptonica Aug 3, 2018
LICENSE.libpng Add missing license files for OpenCV, FFmpeg, HDF5, and Leptonica Aug 3, 2018
LICENSE.openexr Add missing license files for OpenCV, FFmpeg, HDF5, and Leptonica Aug 3, 2018
LICENSE.protobuf Add missing license files for OpenCV, FFmpeg, HDF5, and Leptonica Aug 3, 2018
LICENSE.zlib Add missing license files for OpenCV, FFmpeg, HDF5, and Leptonica Aug 3, 2018
README.md * Upgrade presets for OpenCV 3.4.3 Sep 9, 2018
cppbuild.sh * Upgrade presets for OpenCV 3.4.3 Sep 9, 2018
opencv.patch * Upgrade presets for OpenCV 3.4.3 Sep 9, 2018
opencv_contrib.patch * Upgrade presets for OpenCV 3.4.2, OpenBLAS 0.3.2.dev, and TensorFl… Jul 11, 2018
opencv_java.patch Fix builds for FFmpeg, GSL, and Linux on Travis CI, and OpenCV with C… Mar 17, 2018
pom.xml * Upgrade presets for OpenCV 3.4.3 Sep 9, 2018

README.md

JavaCPP Presets for OpenCV

Introduction

This directory contains the JavaCPP Presets module for:

Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.

Documentation

Java API documentation is available here:

∗ Call Loader.load(opencv_java.class) before using the API in the org.opencv namespace.

Sample Usage

Here is a simple example of OpenCV ported to Java from this C++ source file:

We can use Maven 3 to download and install automatically all the class files as well as the native binaries. To run this sample code, after creating the pom.xml and src/main/java/Stitching.java source files below, simply execute on the command line:

 $ mvn compile exec:java -Dexec.args="img1 img2 [...imgN]"

The pom.xml build file

<project>
    <modelVersion>4.0.0</modelVersion>
    <groupId>org.bytedeco.javacpp-presets.opencv</groupId>
    <artifactId>stitching</artifactId>
    <version>1.4.3-SNAPSHOT</version>
    <properties>
        <exec.mainClass>Stitching</exec.mainClass>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.bytedeco.javacpp-presets</groupId>
            <artifactId>opencv-platform</artifactId>
            <version>3.4.3-1.4.3-SNAPSHOT</version>
        </dependency>

        <!-- Additional dependencies required to use CUDA and cuDNN -->
        <dependency>
            <groupId>org.bytedeco.javacpp-presets</groupId>
            <artifactId>opencv</artifactId>
            <version>3.4.3-1.4.3-SNAPSHOT</version>
            <classifier>linux-x86_64-gpu</classifier>
        </dependency>
        <dependency>
            <groupId>org.bytedeco.javacpp-presets</groupId>
            <artifactId>opencv</artifactId>
            <version>3.4.3-1.4.3-SNAPSHOT</version>
            <classifier>macosx-x86_64-gpu</classifier>
        </dependency>
        <dependency>
            <groupId>org.bytedeco.javacpp-presets</groupId>
            <artifactId>opencv</artifactId>
            <version>3.4.3-1.4.3-SNAPSHOT</version>
            <classifier>windows-x86_64-gpu</classifier>
        </dependency>

        <!-- Additional dependencies to use bundled CUDA and cuDNN -->
        <dependency>
            <groupId>org.bytedeco.javacpp-presets</groupId>
            <artifactId>cuda</artifactId>
            <version>9.2-7.2-1.4.3-SNAPSHOT</version>
            <classifier>linux-x86_64-redist</classifier>
        </dependency>
        <dependency>
            <groupId>org.bytedeco.javacpp-presets</groupId>
            <artifactId>cuda</artifactId>
            <version>9.2-7.2-1.4.3-SNAPSHOT</version>
            <classifier>macosx-x86_64-redist</classifier>
        </dependency>
        <dependency>
            <groupId>org.bytedeco.javacpp-presets</groupId>
            <artifactId>cuda</artifactId>
            <version>9.2-7.2-1.4.3-SNAPSHOT</version>
            <classifier>windows-x86_64-redist</classifier>
        </dependency>

    </dependencies>
</project>

The src/main/java/Stitching.java source file

/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/

import org.bytedeco.javacpp.*;
import static org.bytedeco.javacpp.opencv_core.*;
import static org.bytedeco.javacpp.opencv_imgcodecs.*;
import static org.bytedeco.javacpp.opencv_stitching.*;

public class Stitching {
    static boolean try_use_gpu = false;
    static MatVector imgs = new MatVector();
    static String result_name = "result.jpg";

    public static void main(String[] args) {
        int retval = parseCmdArgs(args);
        if (retval != 0) {
            System.exit(-1);
        }

        Mat pano = new Mat();
        Stitcher stitcher = Stitcher.createDefault(try_use_gpu);
        int status = stitcher.stitch(imgs, pano);

        if (status != Stitcher.OK) {
            System.out.println("Can't stitch images, error code = " + status);
            System.exit(-1);
        }

        imwrite(result_name, pano);
        System.exit(0);
    }

    static void printUsage() {
        System.out.println(
            "Rotation model images stitcher.\n\n"
          + "stitching img1 img2 [...imgN]\n\n"
          + "Flags:\n"
          + "  --try_use_gpu (yes|no)\n"
          + "      Try to use GPU. The default value is 'no'. All default values\n"
          + "      are for CPU mode.\n"
          + "  --output <result_img>\n"
          + "      The default is 'result.jpg'.");
    }

    static int parseCmdArgs(String[] args) {
        if (args.length == 0) {
            printUsage();
            return -1;
        }
        for (int i = 0; i < args.length; i++) {
            if (args[i].equals("--help") || args.equals("/?")) {
                printUsage();
                return -1;
            } else if (args[i].equals("--try_use_gpu")) {
                if (args[i + 1].equals("no")) {
                    try_use_gpu = false;
                } else if (args[i + 1].equals("yes")) {
                    try_use_gpu = true;
                } else {
                    System.out.println("Bad --try_use_gpu flag value");
                    return -1;
                }
                i++;
            } else if (args[i].equals("--output")) {
                result_name = args[i + 1];
                i++;
            } else {
                Mat img = imread(args[i]);
                if (img.empty()) {
                    System.out.println("Can't read image '" + args[i] + "'");
                    return -1;
                }
                imgs.resize(imgs.size() + 1);
                imgs.put(imgs.size() - 1, img);
            }
        }
        return 0;
    }
}