static async Task Main(string[] args)
{
Console.WriteLine("Hello World!");
CancellationTokenSource cts = new CancellationTokenSource();
Console.CancelKeyPress += (sender, a) =>
{
a.Cancel = true;
cts.Cancel();
};
string configurationFilePath;
if (RuntimeInformation.IsOSPlatform(OSPlatform.Linux))
{
configurationFilePath = @"/share/JAVS.Hypnos.Pi.HDMIController/PiSettings.json";
}
else
{
configurationFilePath = @"./PiSettings.json";
}
_piSettings = await JSONFile.LoadAsync <PiSettings>(configurationFilePath);
FaceDetectionService faceDetectionService = new FaceDetectionService(_piSettings);
await faceDetectionService.Init();
faceDetectionService.ListenFor <FaceDetectionStats>((stats) =>
{
Console.WriteLine("Face Change.");
string output = "";
if (stats.IsZeroFaceAlert)
{
output = @"vcgencmd display_power 0".Bash();
}
else if (stats.FaceRectangles?.Count > 0)
{
output = @"xset s reset";
output += @"vcgencmd display_power 1".Bash();
}
Console.WriteLine(output);
//if (stats.IsZeroFaceAlert)
// output = @"echo 'standby 0' | cec-client -s -d 1".Bash();
//else if(stats.FaceRectangles?.Count > 0)
// output = @"echo 'standby 1' | cec-client -s -d 1".Bash();
});
await faceDetectionService.Join(new JoinGroupRequest()
{
IsHDMIController = true,
Password = "******"
});
while (!cts.IsCancellationRequested)
{
}
}
static async Task Main(string[] args)
{
_faceDetectionConfiguration = new FaceDetectionConfiguration()
{
ScaleFactor = 1.2,
MinimumNeighbors = 5,
MinimumFaceWidth = 20,
MinimumFaceHeight = 20,
FaceTimeoutInSeconds = 5
};
Console.WriteLine("Hello World!");
CancellationTokenSource cts = new CancellationTokenSource();
Console.CancelKeyPress += (sender, a) =>
{
a.Cancel = true;
cts.Cancel();
};
string configurationFilePath;
if (RuntimeInformation.IsOSPlatform(OSPlatform.Linux))
{
configurationFilePath = @"/share/JAVS.Hypnos.Pi.Detector/PiSettings.json";
}
else
{
configurationFilePath = @"./PiSettings.json";
}
_piSettings = await JSONFile.LoadAsync <PiSettings>(configurationFilePath);
FaceDetectionService faceDetectionService = new FaceDetectionService(_piSettings);
await faceDetectionService.Init();
faceDetectionService.ListenFor <ClientGroupStats>((stats) =>
{
foreach (var group in stats.ConnectedClientGroupCounts)
{
Console.WriteLine($"{group.Key}: {group.Value} Clients Connected.");
_clientGroupStats = stats;
}
});
faceDetectionService.ListenFor <FaceDetectionConfiguration>((config) =>
{
_faceDetectionConfiguration = config;
});
await faceDetectionService.Join(new JoinGroupRequest()
{
IsDetector = true,
Password = "******"
});
RunFacialDetection(cts, faceDetectionService);
}
public IHttpActionResult Detect([FromBody] byte[] photo)
{
if (photo == null)
{
return(BadRequest("No picture"));
}
try
{
IFaceDetectionService faceDetectionService = new FaceDetectionService();
Image <Gray, byte> facePhoto = faceDetectionService.DetectFaceAsGrayImage(photo.ByteArrayToImage());
return(Ok(facePhoto.ToBitmap().ImageToByteArray()));
}
catch (Exception ex)
{
return(BadRequest(ex.Message));
}
}
private async Task ProcessImage()
{
if (_photo == null)
{
return;
}
IsBusy = true;
var stream = await _photo.OpenAsync(FileAccessMode.Read);
var res = await FaceDetectionService.ProcessImageAsync(stream.AsStream(), FaceApiKey);
Faces = res.ToList();
OnPropertyChanged(() => Faces);
FaceDetectionService.CalculateIPDAsync(Faces, _controlIPD);
IsBusy = false;
_annotationCanvasUpdateEvent.Publish(true);
}
public static void ClassInitialize(TestContext context) => faceDetectionService = new FaceDetectionService();
public static void RunFacialDetection(CancellationTokenSource cts, FaceDetectionService service)
{
string haarCascadeFile = RuntimeInformation.IsOSPlatform(OSPlatform.Linux) ? _piSettings.LinuxPathToFaceHaarCascade
: _piSettings.DevPathToFaceHaarCascade;
Console.WriteLine("Path to cascade classifier: " + haarCascadeFile);
if (!File.Exists(haarCascadeFile))
{
Console.WriteLine("NO HAAR FILE FOUND");
return;
}
Mat sourceImg = new Mat();
DateTime lastFaceTime = DateTime.Now;
bool wasSearchingForFace = true;
VideoCapture captureInstance = new VideoCapture(0);
while (!captureInstance.IsOpened())
{
Console.WriteLine("Video Capture being reopened.");
captureInstance.Open(0);
Thread.Sleep(500);
}
using (CascadeClassifier cascade = new CascadeClassifier(haarCascadeFile))
//using (Window webCamWindow = new Window("webCamWindow"))
{
while (!cts.IsCancellationRequested)
{
captureInstance.Read(sourceImg);
if (sourceImg.Empty())
{
break;
}
var grayImage = new Mat();
Cv2.CvtColor(sourceImg, grayImage, ColorConversionCodes.BGRA2GRAY);
Cv2.EqualizeHist(grayImage, grayImage);
var faces = cascade.DetectMultiScale(
image: grayImage,
scaleFactor: _faceDetectionConfiguration.ScaleFactor,
minNeighbors: _faceDetectionConfiguration.MinimumNeighbors,
flags: HaarDetectionType.DoRoughSearch | HaarDetectionType.ScaleImage,
minSize: new Size(_faceDetectionConfiguration.MinimumFaceWidth, _faceDetectionConfiguration.MinimumFaceHeight)
);
if (faces.Length > 0)
{
lastFaceTime = DateTime.Now;
if (wasSearchingForFace)
{
service.PublishFaceDetectionStats(new FaceDetectionStats
{
FaceRectangles = faces.Select(face => new Shared.FaceRect
{
X = face.X,
Y = face.Y,
Width = face.Width,
Height = face.Height
}).ToList()
});
wasSearchingForFace = false;
}
}
else if (DateTime.Now - lastFaceTime >= TimeSpan.FromSeconds(_faceDetectionConfiguration.FaceTimeoutInSeconds))
{
if (!wasSearchingForFace)
{
service.PublishFaceDetectionStats(new FaceDetectionStats
{
IsZeroFaceAlert = true
});
}
wasSearchingForFace = true;
}
}
}
}
int i = 0; // 图片处理计数器
public FrmFacePhoto()
{
InitializeComponent();
_personFaceRepository = new PersonFaceRepository();
_faceDetectionService = new FaceDetectionService();
}
private void Init()
{
_faceDetectionService = new FaceDetectionService();
_personFaceRepository = new PersonFaceRepository();
_cache = _personFaceRepository.GetAllPersonFaces();
}
public FaceDetectionController(FaceDetectionService faceDetectionService)
{
_faceDetectionService = faceDetectionService;
}
private void InitializeServices()
{
_faceDetectionService = new FaceDetectionService();
_faceDetectionService.ImageWithDetectionChanged += _faceDetectionService_ImageChanged;
}
