C++ (Cpp) FaceRecognizer::train示例

示例#1

文件： face_recognition.cpp 项目： ChingHengWang/ed_perception

bool srvLearnPerson(ed_perception::LearnPerson::Request& req, ed_perception::LearnPerson::Response& res)
{
    std::cout << "Learn person " << req.person_name << std::endl;

    rgbd::ImagePtr image = rgbd_client.nextImage();
    if (!image)
    {
        res.error_msg = "Could not capture image";
        ROS_ERROR("%s", res.error_msg.c_str());
        return true;
    }

    fr.train(image->getRGBImage(), req.person_name);

//    visualizeResult(*image);

    return true;
}

示例#2

文件： contrib.cpp 项目： DapengLan/Preparation-of-Augmented-Reality-with-OpenCV-and-Aruco

JNIEXPORT void JNICALL Java_org_opencv_contrib_FaceRecognizer_train_10
  (JNIEnv* env, jclass , jlong self, jlong src_mat_nativeObj, jlong labels_nativeObj)
{
    static const char method_name[] = "contrib::train_10()";
    try {
        LOGD("%s", method_name);
        vector<Mat> src;
        Mat& src_mat = *((Mat*)src_mat_nativeObj);
        Mat_to_vector_Mat( src_mat, src );
        FaceRecognizer* me = (FaceRecognizer*) self; //TODO: check for NULL
        Mat& labels = *((Mat*)labels_nativeObj);
        me->train( src, labels );
        return;
    } catch(const std::exception &e) {
        throwJavaException(env, &e, method_name);
    } catch (...) {
        throwJavaException(env, 0, method_name);
    }
    return;
}