在Android中加载JavaCV库时出错



我正在尝试使用javaCV实现一个简单的人脸识别代码。我得到一个错误,不知道为什么。

我已经复制了每一个。so文件到几乎所有的目录-> app/libs/armeabi和app/src/main/jniLibs也复制javacpp.jar和javacv.jar到app/libs目录

错误如下:

原因:java.lang.UnsatisfiedLinkError: dlopen failed: could not加载libopencv_contrib库。所以" needed by "libjniopencv_contrib.so";无法加载库". ./. ./lib/libopencv_legacy。所以"libopencv_contrib.so"需要;由库"../../lib/libopencv_legacy. "引起。所以"未找到"java.lang.Runtime.load (Runtime.java: 330)java.lang.System.load (System.java: 511)com.googlecode.javacpp.Loader.loadLibrary (Loader.java: 700)com.googlecode.javacpp.Loader.load (Loader.java: 586)com.googlecode.javacpp.Loader.load (Loader.java: 540)在com.googlecode.javacv.cpp.opencv_contrib。(opencv_contrib.java: 97)com.ifta.face.OpenCVFaceRecognizer.recognise (OpenCVFaceRecognizer.java: 102)com.ifta.face.FinalActivity.testPreviousImage (FinalActivity.java: 126)com.ifta.face.FinalActivity.onTestClicked (FinalActivity.java: 50)在java.lang.reflect.Method。invokeNative(本地方法)java.lang.reflect.Method.invoke (Method.java: 525)在1.美元android.view.View onclick (View.java: 3809)android.view.View.performClick (View.java: 4421)android.view.View PerformClick.run美元(View.java: 17903)android.os.Handler.handleCallback (Handler.java: 730)android.os.Handler.dispatchMessage (Handler.java: 92)android.os.Looper.loop (Looper.java: 213)android.app.ActivityThread.main (ActivityThread.java: 5225)在java.lang.reflect.Method。invokeNative(本地方法)java.lang.reflect.Method.invoke (Method.java: 525)com.android.internal.os.ZygoteInit MethodAndArgsCaller.run美元(ZygoteInit.java: 741)com.android.internal.os.ZygoteInit.main (ZygoteInit.java: 557)在dalvik.system.NativeStart。主要(本地方法)

我使用的java函数是:

public static void recognise(Context context, File sampleDir, File testFile) {
    // DEBUG-1
    if(sampleDir!=null)
        log(context, "1. sampleDir OK. " + testFile.getAbsolutePath());
    else {
        log(context, "1. sampleDir is Null");
        return;
    }

    FilenameFilter pngFilter = new FilenameFilter() {
        public boolean accept(File dir, String name) {
            return name.toLowerCase().endsWith(".png");
        }
    };
    File[] imageFiles = sampleDir.listFiles(pngFilter);
    // DEBUG-2
    if(imageFiles!=null) {
        log(context, "2. ImageFile OK, Files :");
        for(File imageFile : imageFiles)
            log(context, "File : " + imageFile.getAbsolutePath() );
    }
    else {
        log(context, "2. ImageFile Array Null");
        return;
    }
    // DEBUG-.5
    if(testFile!=null)
        log(context, "2.5. testFile OK. " + testFile.getAbsolutePath());
    else {
        log(context, "2.5. testFile is Null");
        return;
    }
    IplImage testImage = cvLoadImage(testFile.getAbsolutePath());
    // DEBUG-3
    if(imageFiles!=null)
        log(context, "3. testImageIpl OK");
    else {
        log(context, "3. testImageIpl is Null");
        return;
    }
    MatVector images = new MatVector(imageFiles.length);
    int[] labels = new int[imageFiles.length];
    int counter = 0;
    int label;
    IplImage img;
    IplImage grayImg;
    for (File image : imageFiles) {
        // Get image and label:
        img = cvLoadImage(image.getAbsolutePath());
        label = Integer.parseInt(image.getName().split("\-")[0]);
        // Convert image to gray scale:
        grayImg = IplImage.create(img.width(), img.height(), IPL_DEPTH_8U, 1);
        cvCvtColor(img, grayImg, CV_BGR2GRAY);
        // Append it in the image list:
        images.put(counter, grayImg);
        // And in the labels list:
        labels[counter] = label;
        // Increase counter for next image:
        counter++;
    }
    //FaceRecognizer faceRecognizer = createFisherFaceRecognizer();
    FaceRecognizer faceRecognizer = createEigenFaceRecognizer();
    // FaceRecognizer faceRecognizer = createLBPHFaceRecognizer();
    faceRecognizer.train(images, labels);
    // Load the test image:
    IplImage greyTestImage = IplImage.create(testImage.width(), testImage.height(), IPL_DEPTH_8U, 1);
    cvCvtColor(testImage, greyTestImage, CV_BGR2GRAY);
    // And get a prediction:
    //int predictedLabel = faceRecognizer.predict(greyTestImage);
    //System.out.println("Predicted label: " + predictedLabel);
    int[] imageLabels = new int[1];
    double[] confidences = new double[1];
    faceRecognizer.predict(greyTestImage, imageLabels, confidences);
    log(context, "Result : Label - " + imageLabels[0] + "  Conf - " + confidences[0]);

}

我在2天后解决了这个问题…我应该手动加载库。我添加了几行

    System.load("/data/data/com.ifta.face/lib/libopencv_photo.so");
    System.load("/data/data/com.ifta.face/lib/libopencv_flann.so");
    System.load("/data/data/com.ifta.face/lib/libopencv_features2d.so");
    System.load("/data/data/com.ifta.face/lib/libopencv_calib3d.so");
    System.load("/data/data/com.ifta.face/lib/libopencv_ml.so");
    System.load("/data/data/com.ifta.face/lib/libopencv_video.so");
    System.load("/data/data/com.ifta.face/lib/libopencv_legacy.so");
    System.load("/data/data/com.ifta.face/lib/libopencv_objdetect.so");
    System.load("/data/data/com.ifta.face/lib/libopencv_gpu.so");
    System.load("/data/data/com.ifta.face/lib/libopencv_nonfree.so");
    System.load("/data/data/com.ifta.face/lib/libopencv_contrib.so");

我发现库的名字是"libjni*"。因此,"libopencv_*"是自动加载的,而"libopencv_*"是自动加载的。所以必须手动加载。此外,加载顺序必须像上面提到的那样,因为库依赖于先前的库。有人知道为什么会这样吗?

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