C++ Challenge Response Example

Initialize Challenge Response module

oneML::face::ChallengeResponse challenge;

Initialize Challenge Response module from existing FaceDetector and FaceLandmarkDetector

oneML::face::FaceDetector face_detector;
oneML::face::FaceLandmarkDetector face_landmark;
oneML::face::ChallengeResponse challenge(face_detector, face_landmark);

Initialize Challenge Response module with licensing

oneML::LicenseManager license_manager;
license_manager.set_key("LICENSE_KEY_VALUE_HERE");
license_manager.activate_key();
oneML::face::ChallengeResponse challenge(license_manager);

Initialize Challenge Response module with licensing from existing FaceDetector and FaceLandmarkDetector

oneML::LicenseManager license_manager;
license_manager.set_key("LICENSE_KEY_VALUE_HERE");
license_manager.activate_key();

oneML::face::FaceDetector face_detector(license_manager);
oneML::face::FaceLandmarkDetector face_landmark(license_manager);
oneML::face::ChallengeResponse challenge(face_detector, face_landmark, license_manager);

Run the module from videos

std::string video_path = "path/to/video.mp4";
oneML::face::ChallengeResponseResult result;
oneML::face::ChallengeResponseOps ops{true}; // perform all checks
challenge.run(video_path, ops, result);

Run the module from stream of images (can be used with opencv VideoCapture)

// if we can still read frame from image stream
while (can_read_frame) {
    // use any function to get each frame from image stream
    oneML::Image frame = get_one_frame();

    oneML::face::ChallengeResponseResult result;
    oneML::face::ChallengeResponseOps ops{true}; // perform all checks
    challenge.run(frame, ops, result);
}
challenge.reset();

Run the module with MultiImage

// create MultiImages
oneML::Utils utils;

std::string video_path = "path/to/video.mp4";
oneML::MultiImage images;
utils.video_to_images(video_path, images);

// run ChallengeResponse with MultiImage
oneML::face::ChallengeResponseResult result;
oneML::face::ChallengeResponseOps ops{true}; // perform all checks
challenge.run(images, ops, result);

Get result

std::cout << "status: " << result.get_return_status() << std::endl;
std::cout << "is_blink: " << result.is_blink() << std::endl;
std::cout << "number of blinks: " << result.get_num_blinks() << std::endl;
std::cout << "liveness score: " << result.get_liveness_score() << std::endl;

oneML::Image best_frame;
result.get_best_frame(best_frame);