public void Run()
{
var capture = new VideoCapture();
capture.Set(CaptureProperty.FrameWidth, 640);
capture.Set(CaptureProperty.FrameHeight, 480);
capture.Open(-1);
if (!capture.IsOpened())
throw new Exception("capture initialization failed");
var fs = FrameSource.CreateCameraSource(-1);
var sr = SuperResolution.CreateBTVL1();
sr.SetInput(fs);
using (var normalWindow = new Window("normal"))
using (var srWindow = new Window("super resolution"))
{
var normalFrame = new Mat();
var srFrame = new Mat();
while (true)
{
capture.Read(normalFrame);
sr.NextFrame(srFrame);
if (normalFrame.Empty() || srFrame.Empty())
break;
normalWindow.ShowImage(normalFrame);
srWindow.ShowImage(srFrame);
Cv2.WaitKey(100);
}
}
}
public OpencvSource(string cam_or_url)
{
MAssert.Check(cam_or_url != string.Empty);
// check if cam_or_url is number
bool stream = false;
for (int i = 0; i < cam_or_url.Length; ++i)
{
stream = stream ||
(cam_or_url[i] < '0') ||
(cam_or_url[i] > '9');
}
if (stream)
{
// open stream
Console.WriteLine("opening stream '{0}'", cam_or_url);
capturer = new OpenCvSharp.VideoCapture(cam_or_url);
}
else
{
// convert to integer
int cam_id = Convert.ToInt32(cam_or_url, 10);
MAssert.Check(cam_id >= 0, "wrong webcam id");
// open vebcam
Console.WriteLine("opening webcam {0}", cam_id);
capturer = new OpenCvSharp.VideoCapture(cam_id);
MAssert.Check(capturer.IsOpened(), "webcam not opened");
// set resolution
capturer.Set(OpenCvSharp.CaptureProperty.FrameWidth, 1280);
capturer.Set(OpenCvSharp.CaptureProperty.FrameHeight, 720);
MAssert.Check(capturer.IsOpened(), "webcam not opened");
}
// sometimes first few frames can be empty even if camera is good
// so skip few frames
OpenCvSharp.Mat frame;
for (int i = 0; i < 10; ++i)
{
frame = capturer.RetrieveMat();
}
// check first two frames
OpenCvSharp.Mat image1 = new OpenCvSharp.Mat(), image2 = new OpenCvSharp.Mat();
capturer.Read(image1);
capturer.Read(image2);
Console.WriteLine("image1 size: {0}", image1.Size());
Console.WriteLine("image1 size: {0}", image2.Size());
MAssert.Check(
!image1.Empty() &&
!image2.Empty() &&
image1.Size() == image2.Size() &&
image1.Type() == OpenCvSharp.MatType.CV_8UC3 &&
image2.Type() == OpenCvSharp.MatType.CV_8UC3,
"error opening webcam or stream");
}
public void Run()
{
// Opens MP4 file (ffmpeg is probably needed)
var capture = new VideoCapture(FilePath.Movie.Bach);
int sleepTime = (int)Math.Round(1000 / capture.Fps);
using (var window = new Window("capture"))
{
// Frame image buffer
Mat image = new Mat();
// When the movie playback reaches end, Mat.data becomes NULL.
while (true)
{
capture.Read(image); // same as cvQueryFrame
if(image.Empty())
break;
window.ShowImage(image);
Cv2.WaitKey(sleepTime);
}
}
}
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);
}
// create the database
public Database(
string databaseDirPath,
Recognizer recognizer,
Capturer capturer,
float distanceThreshold)
{
vwElements = new List <VideoWorker.DatabaseElement>();
samples = new List <RawSample>();
thumbnails = new List <OpenCvSharp.Mat>();
names = new List <string>();
// check paths
MAssert.Check(Directory.Exists(databaseDirPath), "database not found");
// get directory content
List <string> path_l1 = new List <string>(Directory.EnumerateDirectories(databaseDirPath));
// check every element in that directory
ulong element_id_counter = 0;
for (int il1 = 0; il1 < path_l1.Count; ++il1)
{
// ignore files
if (!Directory.Exists(path_l1[il1]))
{
continue;
}
// so path_l1[il1] is supposed to be the path to the person directory
// get files inside i
List <string> path_l2 = new List <string>(Directory.EnumerateFiles(path_l1[il1]));
string name = string.Empty;
// search for the name.txt file
for (int il2 = 0; il2 < path_l2.Count; ++il2)
{
if (Path.GetFileName(path_l2[il2]) == "name.txt")
{
// put file content in the name
using (StreamReader sr = new StreamReader(path_l2[il2]))
{
name = sr.ReadToEnd();
}
}
}
// try to open each file as an image
for (int il2 = 0; il2 < path_l2.Count; ++il2)
{
if (Path.GetFileName(path_l2[il2]) == "name.txt")
{
continue;
}
Console.WriteLine("processing '{0}' name: '{1}'", path_l2[il2], name);
// read image with opencv
OpenCvSharp.Mat readed_image = OpenCvSharp.Cv2.ImRead(path_l2[il2]);
if (readed_image.Empty() || readed_image.Type() != OpenCvSharp.MatType.CV_8UC3)
{
Console.WriteLine("\n\nWARNING: can't read image '{0}'\n\n", path_l2[il2]);
continue;
}
byte[] data = new byte[readed_image.Total() * readed_image.Type().Channels];
Marshal.Copy(readed_image.DataStart, data, 0, (int)data.Length);
RawImage image = new RawImage(readed_image.Width, readed_image.Height, RawImage.Format.FORMAT_BGR, data);
// capture the face
List <RawSample> capturedSamples = capturer.capture(image);
if (capturedSamples.Count != 1)
{
Console.WriteLine("\n\nWARNING: detected {0} faces on '{1}' image instead of one, image ignored \n\n", capturedSamples.Count, path_l2[il2]);
continue;
}
RawSample sample = capturedSamples[0];
// make template
Template templ = recognizer.processing(sample);
// prepare data for VideoWorker
VideoWorker.DatabaseElement vwElement = new VideoWorker.DatabaseElement(element_id_counter++, (ulong)il1, templ, distanceThreshold);
vwElements.Add(vwElement);
samples.Add(sample);
thumbnails.Add(makeThumbnail(sample, name));
names.Add(name);
}
}
MAssert.Check((int)element_id_counter == vwElements.Count);
MAssert.Check((int)element_id_counter == samples.Count);
MAssert.Check((int)element_id_counter == thumbnails.Count);
MAssert.Check((int)element_id_counter == names.Count);
}
// make a thumbnail of a sample
public static OpenCvSharp.Mat makeThumbnail(
RawSample sample,
string name = "")
{
int thumbnail_size = Worker.thumbnail_size;
// buffer for the cutted image
MemoryStream stream = new MemoryStream();
// make a cut in bmp format
// so we don't waste time for encode/decode image
// just copying it few times, which is irrelevant
sample.cutFaceImage(
stream,
RawSample.ImageFormat.IMAGE_FORMAT_BMP,
RawSample.FaceCutType.FACE_CUT_BASE);
OpenCvSharp.Mat temp = OpenCvSharp.Mat.ImDecode(stream.ToArray(), OpenCvSharp.ImreadModes.Color);
// so we got an image
// check it
MAssert.Check(!temp.Empty());
MAssert.Check(temp.Type() == OpenCvSharp.MatType.CV_8UC3);
// and resize to the thumbnail_size
OpenCvSharp.Rect resRect;
if (temp.Rows >= temp.Cols)
{
resRect.Height = thumbnail_size;
resRect.Width = temp.Cols * thumbnail_size / temp.Rows;
}
else
{
resRect.Width = thumbnail_size;
resRect.Height = temp.Rows * thumbnail_size / temp.Cols;
}
resRect.X = (thumbnail_size - resRect.Width) / 2;
resRect.Y = (thumbnail_size - resRect.Height) / 2;
OpenCvSharp.Mat result = new OpenCvSharp.Mat(
thumbnail_size,
thumbnail_size,
OpenCvSharp.MatType.CV_8UC3,
OpenCvSharp.Scalar.All(0));
OpenCvSharp.Cv2.Resize(
temp,
result[resRect],
resRect.Size);
if (!string.IsNullOrEmpty(name))
{
result[new OpenCvSharp.Rect(0, result.Rows - 27, result.Cols, 27)] = result.RowRange(result.Rows - 27, result.Rows) * 0.5f;
OpenCvSharp.Cv2.PutText(
result,
name,
new OpenCvSharp.Point(0, result.Rows - 7),
OpenCvSharp.HersheyFonts.HersheyDuplex,
0.7,
OpenCvSharp.Scalar.All(255),
1,
OpenCvSharp.LineTypes.AntiAlias);
}
return(result);
}
public static int Main(string[] args)
{
// Parse input arguments
string videoPath, facePath, studyPath, output;
int parseResult = ParseArgs(args, out videoPath, out facePath, out studyPath, out output);
if (parseResult != 2)
{
return(parseResult);
}
// Create a Factory object
var factory = new Dfx.Sdk.Factory();
Console.WriteLine($"Created DFX Factory: {factory.Version}");
// Initialize a study
if (!factory.InitializeStudyFromFile(studyPath))
{
Console.WriteLine($"DFX study initialization failed: {factory.LastErrorMessage}");
return(1);
}
Console.WriteLine($"Created study from {studyPath}");
// Create a collector
var collector = factory.CreateCollector();
if (collector.CurrentState == Dfx.Sdk.Collector.State.ERROR)
{
Console.WriteLine($"Collector creation failed: {collector.LastErrorMessage}");
Console.ReadKey();
return(1);
}
Console.WriteLine("Created collector");
// Load the face tracking data
var jsonFaces = LoadJsonFaces(facePath);
// Load video file (or stream of images)
var videocap = Cv.VideoCapture.FromFile(videoPath);
var videoFileName = Path.GetFileName(videoPath);
// Set target FPS and chunk duration
double targetFps = videocap.Get(Cv.CaptureProperty.Fps);
double videoFrameCount = videocap.Get(Cv.CaptureProperty.FrameCount);
const int chunkDuration_s = 5;
const int KLUDGE = 1;
double chunkFrameCount = Math.Ceiling(chunkDuration_s * targetFps + KLUDGE);
ulong numberChunks = (ulong)Math.Ceiling(videoFrameCount / chunkFrameCount); // Ask more chunks then needed
double durationOfOneFrame_ns = 1000_000_000.0 / targetFps;
collector.TargetFps = (float)targetFps;
collector.ChunkDuration = chunkDuration_s;
collector.NumberChunks = numberChunks;
Console.WriteLine($" mode: {factory.Mode}");
Console.WriteLine($" number chunks: {collector.NumberChunks}");
Console.WriteLine($" chunk duration: {collector.ChunkDuration}");
foreach (var constraint in collector.GetEnabledConstraints())
{
Console.WriteLine($" enabled constraint: {constraint}");
}
// Start collection
collector.StartCollection();
// Start reading frames and adding to collector
uint frameNumber = 0;
bool success = false;
using (var window = new Cv.Window("capture"))
{
Cv.Mat image = new Cv.Mat();
while (true)
{
bool ret = videocap.Read(image);
if (!ret || image.Empty())
{
// Video ended, so grab what should be the last, possibly truncated chunk
var chunkData = collector.ChunkData;
if (chunkData != null)
{
var chunkPayload = chunkData.Payload;
//if (output != null)
// savePayload(chunkPayload, output);
Console.WriteLine($"Got chunk with {chunkPayload}");
}
else
{
Console.WriteLine("Got empty chunk");
}
success = true;
break;
}
// Create a Dfx VideoFrame
using (Dfx.Sdk.VideoFrame videoFrame = new Dfx.Sdk.VideoFrame((ushort)image.Rows,
(ushort)image.Cols,
Dfx.Sdk.PixelType.TYPE_8UC3,
image.Channels() * image.Cols,
image.Data,
Dfx.Sdk.ChannelOrder.BGR,
(ulong)(frameNumber * durationOfOneFrame_ns),
frameNumber))
{
frameNumber++;
// Create a Dfx Frame from the VideoFrame
var frame = collector.CreateFrame(videoFrame);
// Add the Dfx Face to the Dfx Frame
var jsonFace = jsonFaces[frameNumber.ToString()];
var face = new Dfx.Sdk.Face((string)jsonFace["id"]);
face.PoseValid = (bool)jsonFace["poseValid"];
face.Detected = (bool)jsonFace["detected"];
face.SetRect((ushort)jsonFace["rect.x"], (ushort)jsonFace["rect.y"], (ushort)jsonFace["rect.w"], (ushort)jsonFace["rect.h"]);
foreach (JProperty entry in jsonFace["points"])
{
face.AddPosePoint(entry.Name, new Dfx.Sdk.PosePoint((float)entry.Value["x"],
(float)entry.Value["y"],
0,
(bool)entry.Value["valid"],
(bool)entry.Value["estimated"],
(float)entry.Value["quality"]));
}
frame.AddFace(face);
// Add a marker to the 1000th dfx_frame
if (frameNumber == 1000)
{
frame.AddMarker("This is the 1000th frame");
}
// Do the extraction
collector.DefineRegions(frame);
var result = collector.ExtractChannels(frame);
// Grab a chunk and check if we are finished
if (result == Dfx.Sdk.Collector.State.CHUNKREADY || result == Dfx.Sdk.Collector.State.COMPLETED)
{
var chunkData = collector.ChunkData;
if (chunkData != null)
{
var chunkPayload = chunkData.Payload;
//if (output != null)
// savePayload(chunkPayload, output);
Console.WriteLine($"Got chunk with {chunkPayload}");
}
else
{
Console.WriteLine("Got empty chunk");
}
if (result == Dfx.Sdk.Collector.State.COMPLETED)
{
Console.WriteLine($"{nameof(Dfx.Sdk.Collector.State.COMPLETED)} at frame {frameNumber}");
success = true;
break;
}
}
// Render
if (true)
{
foreach (var faceID in frame.FaceIdentifiers)
{
foreach (var regionID in frame.GetRegionNames(faceID))
{
if (frame.GetRegionIntProperty(faceID, regionID, "draw") != 0)
{
var dfxpolygon = frame.GetRegionPolygon(faceID, regionID);
var cvpolygon = new List <Cv.Point>();
foreach (var point in dfxpolygon)
{
cvpolygon.Add(new Cv.Point(point.X, point.Y));
}
var cvpolygons = new List <List <Cv.Point> >();
cvpolygons.Add(cvpolygon);
Cv.Cv2.Polylines(image, cvpolygons, isClosed: true, color: Cv.Scalar.Cyan, thickness: 1, lineType: Cv.LineTypes.AntiAlias);
}
}
}
string msg = $"Extracting from {videoFileName} - frame {frameNumber} of {videoFrameCount}";
Cv.Cv2.PutText(image, msg, org: new Cv.Point(10, 30), fontFace: Cv.HersheyFonts.HersheyPlain, fontScale: 1, color: Cv.Scalar.Black, thickness: 1, lineType: Cv.LineTypes.AntiAlias);
window.ShowImage(image);
if (Cv.Cv2.WaitKey(1) == 'q')
{
success = false;
break;
}
}
}
}
}
if (success)
{
Console.WriteLine("Collection finished completely. Press any key to exit...");
}
else
{
Console.WriteLine("Collection interrupted or failed. Press any key to exit...");
}
// When everything done, release the capture
videocap.Release();
Console.ReadKey();
return(0);
}
public void Run()
{
using (var capture = new VideoCapture(FilePath.Movie.Bach))
using (var mog = BackgroundSubtractorMOG.Create())
using (var windowSrc = new Window("src"))
using (var windowDst = new Window("dst"))
{
var frame = new Mat();
var fg = new Mat();
while (true)
{
capture.Read(frame);
if(frame.Empty())
break;
mog.Run(frame, fg, 0.01);
windowSrc.Image = frame;
windowDst.Image = fg;
Cv2.WaitKey(50);
}
}
}
public void Run()
{
const string OutVideoFile = "out.avi";
// Opens MP4 file (ffmpeg is probably needed)
VideoCapture capture = new VideoCapture(FilePath.Movie.Bach);
// Read movie frames and write them to VideoWriter
Size dsize = new Size(640, 480);
using (VideoWriter writer = new VideoWriter(OutVideoFile, -1, capture.Fps, dsize))
{
Console.WriteLine("Converting each movie frames...");
Mat frame = new Mat();
while(true)
{
// Read image
capture.Read(frame);
if(frame.Empty())
break;
Console.CursorLeft = 0;
Console.Write("{0} / {1}", capture.PosFrames, capture.FrameCount);
// grayscale -> canny -> resize
Mat gray = new Mat();
Mat canny = new Mat();
Mat dst = new Mat();
Cv2.CvtColor(frame, gray, ColorConversionCodes.BGR2GRAY);
Cv2.Canny(gray, canny, 100, 180);
Cv2.Resize(canny, dst, dsize, 0, 0, InterpolationFlags.Linear);
// Write mat to VideoWriter
writer.Write(dst);
}
Console.WriteLine();
}
// Watch result movie
using (VideoCapture capture2 = new VideoCapture(OutVideoFile))
using (Window window = new Window("result"))
{
int sleepTime = (int)(1000 / capture.Fps);
Mat frame = new Mat();
while (true)
{
capture2.Read(frame);
if(frame.Empty())
break;
window.ShowImage(frame);
Cv2.WaitKey(sleepTime);
}
}
}
