JNIEXPORT void JNICALL Java_org_opencv_contrib_FaceRecognizer_load_10
(JNIEnv* env, jclass , jlong self, jstring filename)
{
static const char method_name[] = "contrib::load_10()";
try {
LOGD("%s", method_name);
FaceRecognizer* me = (FaceRecognizer*) self; //TODO: check for NULL
const char* utf_filename = env->GetStringUTFChars(filename, 0); std::string n_filename( utf_filename ? utf_filename : "" ); env->ReleaseStringUTFChars(filename, utf_filename);
me->load( n_filename );
return;
} catch(const std::exception &e) {
throwJavaException(env, &e, method_name);
} catch (...) {
throwJavaException(env, 0, method_name);
}
return;
}
int main()
{
try
{
cv::VideoCapture cap(0);
cv::namedWindow( "Face window", cv::WINDOW_AUTOSIZE);
image_window win;
OpenFace of("resources/shape_predictor_68_face_landmarks.dat",
"src/openface/forward_nn.lua", "resources/nn4.v2.t7");
FaceDetector fd("resources/haarcascade_frontalface_alt.xml",
"");
FaceRecognizer fr;
try {
fr.load("facedatabase.dat");
}
catch(serialization_error& err) {
cout << "No learned database found." << endl;
cout << "Please create a database with the ./examples/database_builder" << endl;
cout << "Afterwards learn the decision function using ./examples/database_processor" << endl;
cout << endl << err.what() << endl;
}
//Grab and process frames until the main window is closed by the user.
while(!win.is_closed())
{
// Grab a frame
cv::Mat temp;
cap >> temp;
Image img(temp);
Detection detect = fd.dlib_detect(img);
if (detect.face.width() == 0) {
win.set_image(img.asDLIBImage());
continue;
}
//fa.align(detect);
FaceNetEmbed rep = of.facenet(detect);
auto df = fr.df();
auto result = df.predict(rep);
if (result.second > 0.5) {
std::stringstream ss;
ss << result.first << ", " << result.second;
std::string label = ss.str(); //fr.recognize(rep);
// Display it all on the screen
win.clear_overlay();
win.set_image(img.asDLIBImage());
win.add_overlay(detect.rect.asDLIBRect(),rgb_pixel(255,0,0), label);
}
else {
// Display it all on the screen
win.clear_overlay();
win.set_image(img.asDLIBImage());
win.add_overlay(detect.rect.asDLIBRect(),rgb_pixel(255,0,0), std::to_string(result.second));
}
}
}
catch(serialization_error& e)
{
cout << "You need dlib's default face landmarking model file to run this example." << endl;
cout << "You can get it from the following URL: " << endl;
cout << " http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2" << endl;
cout << endl << e.what() << endl;
}
catch(exception& e)
{
cout << e.what() << endl;
}
}
