Hello Members, I have used OpenCV, JavaFX to detect and save the face image in local folder. Now I want to recognized face if already saved in local system. I need a some guidance and some sample code or links so I can move further.
this is face croped and saved in local systm
Thank You...! Sandip D.
you could try to use opencv's face recognition classes for multiple persons, or the MACE Filter there for a single person, but maybe you want to try out opencv's new dnn methods:
the concept here is to run (color !) images through a pretrained cnn, and obtain a 1x128 "feature" vector, which can easily be compared using the L2 norm, to find out, if it's the same.
// you'll need the pretrained facenet dnn model from here (30.1mb):
// https://raw.githubusercontent.com/pyannote/pyannote-data/master/openface.nn4.small2.v1.t7
static Mat processFace(Net net, Mat img) {
Mat blob = Dnn.blobFromImage(img, 1./255, new Size(96,96), Scalar.all(0), true, false);
net.setInput(blob);
return net.forward().clone();
}
public static void main(String[] args) {
// Load the native library.
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
Net net = Dnn.readNetFromTorch("openface.nn4.small2.v1.t7");
Mat img1 = Imgcodecs.imread("../img/face1.png");
Mat img2 = Imgcodecs.imread("../img/face2.jpg");
Mat feature1 = processFace(net, img1);
Mat feature2 = processFace(net, img2);
double distance = Core.norm(feature1, feature2);
System.out.println("distance: " + distance);
}
which means ?
oh, probably import org.opencv.dnn.*;
this also assumes, you're using opencv341
and the facerecognizer/mace classes need to be build with the opencv_contrib repo
i am using OpenCV3.1 &&
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.10</version>
</dependency>
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>javacv-platform</artifactId>
<version>1.3.2</version>
</dependency>
<dependency>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>tesseract-platform</artifactId>
<version>3.04.01-1.3</version>
</dependency>
maybe this is a good reason to update ? like it is now, you can't use any of the proposed methods above.
in the meantime, you can try to compare the images directly, like norm(a,b). it will give you a good feel, for what you're doing later. (and will already have like 75% accuracy)
OK.. Now I am using purely openCV 3.4 but following error occurs
OpenCV(3.4.1) C:\build\master_winpack-bindings-win64-vc14-static\opencv\modules\dnn\src\torch\THDiskFile.cpp:496: error: (-2) cannot open <openface.nn4.small2.v1.t7> in mode r in function TH::THDiskFile_new
Asked: 2018-03-19 00:21:52 -0600
Seen: 2,044 times
Last updated: Mar 19 '18
what is your use-case for it ? are you trying to recognize a single person ? are you trying to build a database for several ? explain, what your app should do.
in the meantime, read a bit here
Hello @berak, I did not used any database, cropped image save in local folder of project. I want to compare face with cropped images
here my code for cropping face from webcam
are you trying to recognize a single person (like, is that me?), or many (like who of 3 possible ones is it) ?
@berak trying to multiple ... but this time single person also OK. But main aim is to trying to multiple faces