Introduction

Downloads

  <dependency>    <groupId>org.bytedeco</groupId>    <artifactId>javacv-platform</artifactId>    <version>1.5.11</version>  </dependency>

  dependencies {    implementation("org.bytedeco:javacv-platform:1.5.11")  }

:dependencies [    [org.bytedeco/javacv-platform"1.5.11"]  ]

  libraryDependencies+="org.bytedeco"%"javacv-platform"%"1.5.11"

Required Software

Manual Installation

Sample Usage

importorg.bytedeco.opencv.opencv_core.*;importorg.bytedeco.opencv.opencv_imgproc.*;importstaticorg.bytedeco.opencv.global.opencv_core.*;importstaticorg.bytedeco.opencv.global.opencv_imgproc.*;importstaticorg.bytedeco.opencv.global.opencv_imgcodecs.*;publicclassSmoother {publicstaticvoidsmooth(Stringfilename) {Matimage =imread(filename);if (image !=null) {GaussianBlur(image,image,newSize(3,3),0);imwrite(filename,image);        }    }}

importjava.io.File;importjava.net.URL;importorg.bytedeco.javacv.*;importorg.bytedeco.javacpp.*;importorg.bytedeco.javacpp.indexer.*;importorg.bytedeco.opencv.opencv_core.*;importorg.bytedeco.opencv.opencv_imgproc.*;importorg.bytedeco.opencv.opencv_calib3d.*;importorg.bytedeco.opencv.opencv_objdetect.*;importstaticorg.bytedeco.opencv.global.opencv_core.*;importstaticorg.bytedeco.opencv.global.opencv_imgproc.*;importstaticorg.bytedeco.opencv.global.opencv_calib3d.*;importstaticorg.bytedeco.opencv.global.opencv_objdetect.*;publicclassDemo {publicstaticvoidmain(String[]args)throwsException {StringclassifierName =null;if (args.length >0) {classifierName =args[0];        }else {URLurl =newURL("https://raw.github.com/opencv/opencv/master/data/haarcascades/haarcascade_frontalface_alt.xml");Filefile =Loader.cacheResource(url);classifierName =file.getAbsolutePath();        }// We can "cast" Pointer objects by instantiating a new object of the desired class.CascadeClassifierclassifier =newCascadeClassifier(classifierName);if (classifier ==null) {System.err.println("Error loading classifier file\"" +classifierName +"\".");System.exit(1);        }// The available FrameGrabber classes include OpenCVFrameGrabber (opencv_videoio),// DC1394FrameGrabber, FlyCapture2FrameGrabber, OpenKinectFrameGrabber, OpenKinect2FrameGrabber,// RealSenseFrameGrabber, RealSense2FrameGrabber, PS3EyeFrameGrabber, VideoInputFrameGrabber, and FFmpegFrameGrabber.FrameGrabbergrabber =FrameGrabber.createDefault(0);grabber.start();// CanvasFrame, FrameGrabber, and FrameRecorder use Frame objects to communicate image data.// We need a FrameConverter to interface with other APIs (Android, Java 2D, JavaFX, Tesseract, OpenCV, etc).OpenCVFrameConverter.ToMatconverter =newOpenCVFrameConverter.ToMat();// FAQ about IplImage and Mat objects from OpenCV:// - For custom raw processing of data, createBuffer() returns an NIO direct//   buffer wrapped around the memory pointed by imageData, and under Android we can//   also use that Buffer with Bitmap.copyPixelsFromBuffer() and copyPixelsToBuffer().// - To get a BufferedImage from an IplImage, or vice versa, we can chain calls to//   Java2DFrameConverter and OpenCVFrameConverter, one after the other.// - Java2DFrameConverter also has static copy() methods that we can use to transfer//   data more directly between BufferedImage and IplImage or Mat via Frame objects.MatgrabbedImage =converter.convert(grabber.grab());intheight =grabbedImage.rows();intwidth =grabbedImage.cols();// Objects allocated with `new`, clone(), or a create*() factory method are automatically released// by the garbage collector, but may still be explicitly released by calling deallocate().// You shall NOT call cvReleaseImage(), cvReleaseMemStorage(), etc. on objects allocated this way.MatgrayImage =newMat(height,width,CV_8UC1);MatrotatedImage =grabbedImage.clone();// The OpenCVFrameRecorder class simply uses the VideoWriter of opencv_videoio,// but FFmpegFrameRecorder also exists as a more versatile alternative.FrameRecorderrecorder =FrameRecorder.createDefault("output.avi",width,height);recorder.start();// CanvasFrame is a JFrame containing a Canvas component, which is hardware accelerated.// It can also switch into full-screen mode when called with a screenNumber.// We should also specify the relative monitor/camera response for proper gamma correction.CanvasFrameframe =newCanvasFrame("Some Title",CanvasFrame.getDefaultGamma()/grabber.getGamma());// Let's create some random 3D rotation...MatrandomR    =newMat(3,3,CV_64FC1),randomAxis =newMat(3,1,CV_64FC1);// We can easily and efficiently access the elements of matrices and images// through an Indexer object with the set of get() and put() methods.DoubleIndexerRidx =randomR.createIndexer(),axisIdx =randomAxis.createIndexer();axisIdx.put(0, (Math.random() -0.5) /4,                       (Math.random() -0.5) /4,                       (Math.random() -0.5) /4);Rodrigues(randomAxis,randomR);doublef = (width +height) /2.0;Ridx.put(0,2,Ridx.get(0,2) *f);Ridx.put(1,2,Ridx.get(1,2) *f);Ridx.put(2,0,Ridx.get(2,0) /f);Ridx.put(2,1,Ridx.get(2,1) /f);System.out.println(Ridx);// We can allocate native arrays using constructors taking an integer as argument.PointhatPoints =newPoint(3);while (frame.isVisible() && (grabbedImage =converter.convert(grabber.grab())) !=null) {// Let's try to detect some faces! but we need a grayscale image...cvtColor(grabbedImage,grayImage,CV_BGR2GRAY);RectVectorfaces =newRectVector();classifier.detectMultiScale(grayImage,faces);longtotal =faces.size();for (longi =0;i <total;i++) {Rectr =faces.get(i);intx =r.x(),y =r.y(),w =r.width(),h =r.height();rectangle(grabbedImage,newPoint(x,y),newPoint(x +w,y +h),Scalar.RED,1,CV_AA,0);// To access or pass as argument the elements of a native array, call position() before.hatPoints.position(0).x(x -w /10     ).y(y -h /10);hatPoints.position(1).x(x +w *11 /10).y(y -h /10);hatPoints.position(2).x(x +w /2      ).y(y -h /2 );fillConvexPoly(grabbedImage,hatPoints.position(0),3,Scalar.GREEN,CV_AA,0);            }// Let's find some contours! but first some thresholding...threshold(grayImage,grayImage,64,255,CV_THRESH_BINARY);// To check if an output argument is null we may call either isNull() or equals(null).MatVectorcontours =newMatVector();findContours(grayImage,contours,CV_RETR_LIST,CV_CHAIN_APPROX_SIMPLE);longn =contours.size();for (longi =0;i <n;i++) {Matcontour =contours.get(i);Matpoints =newMat();approxPolyDP(contour,points,arcLength(contour,true) *0.02,true);drawContours(grabbedImage,newMatVector(points), -1,Scalar.BLUE);            }warpPerspective(grabbedImage,rotatedImage,randomR,rotatedImage.size());FramerotatedFrame =converter.convert(rotatedImage);frame.showImage(rotatedFrame);recorder.record(rotatedFrame);        }frame.dispose();recorder.stop();grabber.stop();    }}

<project>    <modelVersion>4.0.0</modelVersion>    <groupId>org.bytedeco.javacv</groupId>    <artifactId>demo</artifactId>    <version>1.5.11</version>    <properties>        <maven.compiler.source>1.7</maven.compiler.source>        <maven.compiler.target>1.7</maven.compiler.target>    </properties>    <dependencies>        <dependency>            <groupId>org.bytedeco</groupId>            <artifactId>javacv-platform</artifactId>            <version>1.5.11</version>        </dependency><!-- Additional dependencies required to use CUDA and cuDNN-->        <dependency>            <groupId>org.bytedeco</groupId>            <artifactId>opencv-platform-gpu</artifactId>            <version>4.10.0-1.5.11</version>        </dependency><!-- Optional GPL builds with (almost) everything enabled-->        <dependency>            <groupId>org.bytedeco</groupId>            <artifactId>ffmpeg-platform-gpl</artifactId>            <version>7.1-1.5.11</version>        </dependency>    </dependencies>    <build>        <sourceDirectory>.</sourceDirectory>    </build></project>

 $ mvn compile exec:java -Dexec.mainClass=Demo

Build Instructions