我正在尝试使用 javaCV 实现一个简单的人脸识别代码。我收到一个错误,不知道为什么。
我已将每个 .so 文件复制到几乎所有目录 -> app/libs/armeabi 和 app/src/main/jniLibs 还将 javacpp.jar 和 javacv.jar 复制到 app/libs 目录
这是错误:
引起:java.lang.UnsatisfiedLinkError:dlopen失败:无法加载“libjniopencv_contrib.so”所需的库“libopencv_contrib.so”;由于无法加载“libopencv_contrib.so”所需的库“../../lib/libopencv_legacy.so”;由在 com 的 java.lang.System.load(System.java:511) 的 java.lang.Runtime.load(Runtime.java:330) 中找不到库“../../lib/libopencv_legacy.so”引起.googlecode.javacpp.Loader.loadLibrary(Loader.java:700) 在 com.googlecode.javacpp.Loader.load(Loader.java:586) 在 com.googlecode.javacpp.Loader.load(Loader.java:540) 在com.googlecode.javacv.cpp.opencv_contrib.(opencv_contrib.java:97) 在 com.ifta.face.OpenCVFaceRecognizer.recognise(OpenCVFaceRecognizer.java:
我正在使用的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]);
}