Jar Files does not contains org.opencv.face package bu documentation file contains it. I want to use this package.How? (opencv 4.5.3, Windows 10)

Android/Java
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1

Jar Files does not contains org.opencv.face package bu documentation file contains it. I want to use this package.How? (opencv 4.5.3, Windows 10)

2

the face package is from the opencv_contrib repo, which is not included in the prebuilt packages.

if you wanted face recognition, we could help with using opencv’s dnn , else you will have to bite the apple and rebuild from src:

to generate the (desktop) java bindings, you’ll need a few tools:

  • cmake
  • a c++ compiler
  • (any version of) python
  • apache ant
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3

Yes, I want face recognition, how can i face recognition with using opencv’s dnn package?

4

the idea is still similar to the LBPH recognizer, – we derive “features” from the images, and compare those, not the actual images.

then try something like this:

import org.opencv.core.*;
import org.opencv.dnn.*;
import org.opencv.imgcodecs.*;
import org.opencv.imgproc.*;

public class FaceRecognition {
    public static Mat process(Net net, Mat img) {
        Mat inputBlob = Dnn.blobFromImage(img, 1./255, new Size(96,96), new Scalar(0,0,0), true, false);
        net.setInput(inputBlob);
        return net.forward().clone();
    }
    public static void main(String[] args) {
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

        Net net = Dnn.readNetFromTorch("c:/data/mdl/openface.nn4.small2.v1.t7");
        Mat feature1 = process(net, Imgcodecs.imread("C:/data/faces/lfw40_crop/Abdullah_Gul_0004.jpg")); // your data here !
        Mat feature2 = process(net, Imgcodecs.imread("C:/data/faces/lfw40_crop/Abdullah_Gul_0007.jpg")); // your data here !
        double dist  = Core.norm(feature1,  feature2);
        if (dist < 0.6)
            System.out.println("SAME !");
    }
}
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