我正在学习OpenCV和JavaCV以使用Java进行一些面部识别项目。我刚刚在github上找到以下示例代码:https://github.com/bytedeco/javacv/blob/master/samples/OpenCVFaceRecognizer.java
import java.io.File;
import java.io.FilenameFilter;
import java.nio.IntBuffer;
import static org.bytedeco.javacpp.opencv_core.CV_32SC1;
import static org.bytedeco.javacpp.opencv_core.CV_8UC1;
import static org.bytedeco.javacpp.opencv_imgcodecs.imread;
import static org.bytedeco.javacpp.opencv_imgcodecs.CV_LOAD_IMAGE_GRAYSCALE;
import org.bytedeco.javacpp.BytePointer;
import org.bytedeco.javacpp.IntPointer;
import org.bytedeco.javacpp.DoublePointer;
import org.bytedeco.javacpp.opencv_face.FaceRecognizer;
import org.bytedeco.javacpp.opencv_face.FisherFaceRecognizer;
import org.bytedeco.javacpp.opencv_face.EigenFaceRecognizer;
import org.bytedeco.javacpp.opencv_face.LBPHFaceRecognizer;
import org.bytedeco.javacpp.opencv_core.Mat;
import org.bytedeco.javacpp.opencv_core.MatVector;
/**
* I couldn't find any tutorial on how to perform face recognition using OpenCV and Java,
* so I decided to share a viable solution here. The solution is very inefficient in its
* current form as the training model is built at each run, however it shows what's needed
* to make it work.
*
* The class below takes two arguments: The path to the directory containing the training
* faces and the path to the image you want to classify. Not that all images has to be of
* the same size and that the faces already has to be cropped out of their original images
* (Take a look here http://fivedots.coe.psu.ac.th/~ad/jg/nui07/index.html if you haven't
* done the face detection yet).
*
* For the simplicity of this post, the class also requires that the training images have
* filename format: <label>-rest_of_filename.png. For example:
*
* 1-jon_doe_1.png
* 1-jon_doe_2.png
* 2-jane_doe_1.png
* 2-jane_doe_2.png
* ...and so on.
*
* Source: http://pcbje.com/2012/12/doing-face-recognition-with-javacv/
*
* @author Petter Christian Bjelland
*/
public class OpenCVFaceRecognizer {
public static void main(String[] args) {
String trainingDir = args[0];
Mat testImage = imread(args[1], CV_LOAD_IMAGE_GRAYSCALE);
File root = new File(trainingDir);
FilenameFilter imgFilter = new FilenameFilter() {
public boolean accept(File dir, String name) {
name = name.toLowerCase();
return name.endsWith(".jpg") || name.endsWith(".pgm") || name.endsWith(".png");
}
};
File[] imageFiles = root.listFiles(imgFilter);
MatVector images = new MatVector(imageFiles.length);
Mat labels = new Mat(imageFiles.length, 1, CV_32SC1);
IntBuffer labelsBuf = labels.createBuffer();
int counter = 0;
for (File image : imageFiles) {
Mat img = imread(image.getAbsolutePath(), CV_LOAD_IMAGE_GRAYSCALE);
int label = Integer.parseInt(image.getName().split("\\-")[0]);
images.put(counter, img);
labelsBuf.put(counter, label);
counter++;
}
FaceRecognizer faceRecognizer = FisherFaceRecognizer.create();
// FaceRecognizer faceRecognizer = EigenFaceRecognizer.create();
// FaceRecognizer faceRecognizer = LBPHFaceRecognizer.create();
faceRecognizer.train(images, labels);
IntPointer label = new IntPointer(1);
DoublePointer confidence = new DoublePointer(1);
faceRecognizer.predict(testImage, label, confidence);
int predictedLabel = label.get(0);
System.out.println("Predicted label: " + predictedLabel);
}
}
我有点困惑!!如何通过训练图像和测试图像?关于org.opencv.face.FaceRecognizer的任何建议或示例代码/教程,以进行人脸识别? 我在Linux Ubuntu上使用Eclipse ...
答案 0 :(得分:0)
为了使该示例正常工作,您需要向程序提供两个信息:
包含Portfolio<T extends Asset>
public void buy(T asset)
一旦提供了这些信息,该程序将负责使用training_images
目录中存在的图像训练面部分类器,因此将能够预测到test_image
的人的身份
希望这会有所帮助