public Worker(string facerec_conf_dir, string capturer_conf, string license_dir)
{
_service = FacerecService.createService(facerec_conf_dir, license_dir);
Console.WriteLine("Library version: {0}\n", _service.getVersion());
_tracker = _service.createCapturer(
(new FacerecService.Config(capturer_conf))
.overrideParameter("downscale_rawsamples_to_preferred_size", 0));
_quality_estimator = _service.createQualityEstimator("quality_estimator_iso.xml");
_age_geder_estimator = _service.createAgeGenderEstimator("age_gender_estimator.xml");
//_age_geder_estimator = _service.createAgeGenderEstimator("age_gender_estimator_v2.xml");
_emotions_estimator = _service.createEmotionsEstimator("emotions_estimator.xml");
_face_quality_estimator = _service.createFaceQualityEstimator("face_quality_estimator.xml");
_liveness_2d_estimator = _service.createLiveness2DEstimator("liveness_2d_estimator_v2.xml");
_face_mask_estimator = _service.createFaceAttributesEstimator("face_mask_estimator.xml");
_flag_positions = true;
_flag_angles = true;
_flag_angles_vectors = true;
_flag_quality = false;
_flag_face_quality = false;
_flag_liveness = false;
_flag_age_gender = false;
_flag_emotions = false;
_flag_cutting_base = false;
_flag_cutting_full = false;
_flag_cutting_token = false;
_flag_points = true;
_flag_masked_face = false;
Worker.Instance = this;
}
static int Main(string[] args)
{
try
{
// print usage
Console.WriteLine("Usage: dotnet csharp_video_recognition_demo.dll [OPTIONS] <video_source>...");
Console.WriteLine("Examples:");
Console.WriteLine(" Webcam: dotnet csharp_video_recognition_demo.dll --config_dir ../../../conf/facerec 0");
Console.WriteLine(" RTSP stream: dotnet csharp_video_recognition_demo.dll --config_dir ../../../conf/facerec rtsp://localhost:8554/");
Console.WriteLine("");
// parse arguments
bool error = false;
Options options = new Options();
CommandLine.Parser.Default.ParseArguments <Options>(args)
.WithParsed <Options>(opts => options = opts)
.WithNotParsed <Options>(errs => error = true);
// exit if argument parsign error
if (error)
{
return(1);
}
// print values of arguments
Console.WriteLine("Arguments:");
foreach (var opt in options.GetType().GetProperties())
{
if (opt.Name == "video_sources")
{
Console.Write("video sources = ");
foreach (string vs in options.video_sources)
{
Console.Write(vs + " ");
}
Console.WriteLine();
}
else
{
Console.WriteLine("--{0} = {1}", opt.Name, opt.GetValue(options, null));
}
}
Console.WriteLine("\n");
//parameters parse
string config_dir = options.config_dir;
string license_dir = options.license_dir;
string database_dir = options.database_dir;
string method_config = options.method_config;
float recognition_distance_threshold = options.recognition_distance_threshold;
float frame_fps_limit = options.frame_fps_limit;
List <string> video_sources = new List <string>(options.video_sources);
// check params
MAssert.Check(config_dir != string.Empty, "Error! config_dir is empty.");
MAssert.Check(database_dir != string.Empty, "Error! database_dir is empty.");
MAssert.Check(method_config != string.Empty, "Error! method_config is empty.");
MAssert.Check(recognition_distance_threshold > 0, "Error! Failed recognition distance threshold.");
List <ImageAndDepthSource> sources = new List <ImageAndDepthSource>();
List <string> sources_names = new List <string>();
MAssert.Check(video_sources.Count > 0, "Error! video_sources is empty.");
for (int i = 0; i < video_sources.Count; i++)
{
sources_names.Add(string.Format("OpenCvS source {0}", i));
sources.Add(new OpencvSource(video_sources[i]));
}
MAssert.Check(sources_names.Count == sources.Count);
// print sources
Console.WriteLine("\n{0} sources: ", sources.Count);
for (int i = 0; i < sources_names.Count; ++i)
{
Console.WriteLine(" {0}", sources_names[i]);
}
Console.WriteLine("");
// create facerec servcie
FacerecService service =
FacerecService.createService(
config_dir,
license_dir);
Console.WriteLine("Library version: {0}\n", service.getVersion());
// create database
Recognizer recognizer = service.createRecognizer(method_config, true, false, false);
Capturer capturer = service.createCapturer("common_capturer4_lbf_singleface.xml");
Database database = new Database(
database_dir,
recognizer,
capturer,
recognition_distance_threshold);
recognizer.Dispose();
capturer.Dispose();
FacerecService.Config vw_config = new FacerecService.Config("video_worker_fdatracker_blf_fda.xml");
// vw_config.overrideParameter("single_match_mode", 1);
vw_config.overrideParameter("search_k", 10);
vw_config.overrideParameter("not_found_match_found_callback", 1);
vw_config.overrideParameter("downscale_rawsamples_to_preferred_size", 0);
//ActiveLiveness.CheckType[] checks = new ActiveLiveness.CheckType[3]
//{
// ActiveLiveness.CheckType.BLINK,
// ActiveLiveness.CheckType.TURN_RIGHT,
// ActiveLiveness.CheckType.SMILE
//};
// create one VideoWorker
VideoWorker video_worker =
service.createVideoWorker(
new VideoWorker.Params()
.video_worker_config(vw_config)
.recognizer_ini_file(method_config)
.streams_count(sources.Count)
//.age_gender_estimation_threads_count(sources.Count)
//.emotions_estimation_threads_count(sources.Count)
//.active_liveness_checks_order(checks)
.processing_threads_count(sources.Count)
.matching_threads_count(sources.Count));
// set database
video_worker.setDatabase(database.vwElements, Recognizer.SearchAccelerationType.SEARCH_ACCELERATION_1);
for (int i = 0; i < sources_names.Count; ++i)
{
OpenCvSharp.Window window = new OpenCvSharp.Window(sources_names[i]);
OpenCvSharp.Cv2.ImShow(sources_names[i], new OpenCvSharp.Mat(100, 100, OpenCvSharp.MatType.CV_8UC3, OpenCvSharp.Scalar.All(0)));
}
// prepare buffers for store drawed results
Mutex draw_images_mutex = new Mutex();
List <OpenCvSharp.Mat> draw_images = new List <OpenCvSharp.Mat>(sources.Count);
// create one worker per one source
List <Worker> workers = new List <Worker>();
for (int i = 0; i < sources.Count; ++i)
{
draw_images.Add(new OpenCvSharp.Mat(100, 100, OpenCvSharp.MatType.CV_8UC3, OpenCvSharp.Scalar.All(0)));
workers.Add(new Worker(
database,
video_worker,
sources[i],
i, // stream_id
draw_images_mutex,
draw_images[i],
frame_fps_limit
));
}
// draw results until escape presssed
for (;;)
{
{
draw_images_mutex.WaitOne();
for (int i = 0; i < draw_images.Count; ++i)
{
OpenCvSharp.Mat drawed_im = workers[i]._draw_image;
if (!drawed_im.Empty())
{
OpenCvSharp.Cv2.ImShow(sources_names[i], drawed_im);
draw_images[i] = new OpenCvSharp.Mat();
}
}
draw_images_mutex.ReleaseMutex();
}
int key = OpenCvSharp.Cv2.WaitKey(20);
if (27 == key)
{
foreach (Worker w in workers)
{
w.Dispose();
}
break;
}
if (' ' == key)
{
Console.WriteLine("enable processing 0");
video_worker.enableProcessingOnStream(0);
}
if (13 == key)
{
Console.WriteLine("disable processing 0");
video_worker.disableProcessingOnStream(0);
}
if ('r' == key)
{
Console.WriteLine("reset trackerOnStream");
video_worker.resetTrackerOnStream(0);
}
// check exceptions in callbacks
video_worker.checkExceptions();
}
// force free resources
// otherwise licence error may occur
// when create sdk object in next time
service.Dispose();
video_worker.Dispose();
}
catch (Exception e)
{
Console.WriteLine("video_recognition_show exception catched: '{0}'", e.ToString());
return(1);
}
return(0);
}