private void CameraListLoad()
{
int numCameras = _grabber.GetNumCameras();
if (numCameras == 0)
{
System.Windows.MessageBox.Show("No cameras found!");
}
CameraList.DataSource = Enumerable.Range(0, numCameras).Select(i => string.Format("Camera {0}", i + 1)).ToList();
CameraList.SelectedIndex = 0;
}
private List <string> LoadCameraList()
{
var numberOfCameras = _frameGrabber.GetNumCameras();
if (numberOfCameras == 0)
{
//TODO: Listen from ShellViewModel for message about "No cameras found!"
}
var cameras = Enumerable.Range(0, numberOfCameras).Select(i => $"Camera {i + 1}");
return(cameras.ToList());
}
/// <summary> Populate CameraList in the UI, once it is loaded. </summary>
/// <param name="sender"> Source of the event. </param>
/// <param name="e"> Routed event information. </param>
private void CameraList_Loaded(object sender, RoutedEventArgs e)
{
int numCameras = _grabber.GetNumCameras();
if (numCameras == 0)
{
MessageArea.Text = "No cameras found!";
}
var comboBox = sender as ComboBox;
comboBox.ItemsSource = Enumerable.Range(0, numCameras).Select(i => string.Format("Camera {0}", i + 1));
comboBox.SelectedIndex = 0;
}
/// <summary> Populate CameraList in the UI, once it is loaded. </summary>
/// <param name="sender"> Source of the event. </param>
/// <param name="e"> Routed event information. </param>
private void CameraList_Loaded(object sender, RoutedEventArgs e)
{
int numCameras = _grabber.GetNumCameras();
if (numCameras == 0)
{
MessageArea.Text = "No cameras found!";
}
var comboBox = sender as ComboBox;
comboBox.ItemsSource = Enumerable.Range(0, numCameras).Select(i => string.Format("Camera {0}", i + 1));
comboBox.SelectedIndex = 1;
//Kamera otomatik çalışacak.
this.StartButton_Click(null, e);
}
private List <string> LoadCameraList()
{
var result = new List <string>();
var numberOfCameras = _frameGrabber.GetNumCameras();
if (numberOfCameras == 0)
{
//TODO: Listen from ShellViewModel for message about "No cameras found!"
}
var cameras = Enumerable.Range(0, numberOfCameras).Select(i => string.Format("Camera {0}", i + 1));
foreach (var camera in cameras)
{
result.Add(camera);
}
return(result);
}
/// <summary> Populate CameraList in the UI, once it is loaded. </summary>
/// <param name="sender"> Source of the event. </param>
/// <param name="e"> Routed event information. </param>
private void CameraList_Loaded(object sender, RoutedEventArgs e)
{
int numCameras = _grabber.GetNumCameras();
if (numCameras == 0)
{
MessageArea.Text = "No cameras found!";
}
List <string> ListData = new List <string>();
for (int i = 0; i <= numCameras; i++)
{
if (i > 0)
{
ListData.Add($"Camera {i}");
}
}
if (!string.IsNullOrWhiteSpace(camoip))
{
ListData.Add("ipcam");
}
if (!string.IsNullOrWhiteSpace(dvrip))
{
for (int x = 1; x <= chs; x++)
{
if (chs > 0)
{
ListData.Add($"DVR Network Camera {x}");
}
}
}
if (!string.IsNullOrWhiteSpace(web))
{
ListData.Add("web");
}
var comboBox = sender as ComboBox;
comboBox.ItemsSource = ListData; //Enumerable.Range(0, numCameras).Select(i => string.Format("Camera {0}", i + 1));
comboBox.SelectedIndex = 0;
//selectedCamera = comboBox.SelectedItem.ToString();
}
private bool CanStartCamera(object obj)
{
return(_frameGrabber.GetNumCameras() > 0 && SelectedPersonGroup != null);
}
private static void Main(string[] args)
{
Console.WriteLine("Initializing Congestion Camera Console App...");
// Get Secret variables.
var configuration = new ConfigurationBuilder()
.AddUserSecrets <Program>()
.AddJsonFile("appsettings.json")
.AddEnvironmentVariables()
.AddCommandLine(args, GetCommandLineSwitchMappings())
.Build();
var appSettings = configuration.GetSection("Settings").Get <AppSettings>();
if (appSettings == null)
{
Console.WriteLine("Failed App Settings initialization. Need to set variables.");
return;
}
if (!appSettings.IsValid())
{
return;
}
// Create Face API Client.
var faceClient = new FaceClient(new ApiKeyServiceClientCredentials(appSettings.Face_API_Subscription_Key))
{
Endpoint = appSettings.Face_API_Endpoint
};
IList <FaceAttributeType?> faceAttributes = new FaceAttributeType?[]
{
FaceAttributeType.Age,
FaceAttributeType.Gender,
FaceAttributeType.Smile,
FaceAttributeType.FacialHair,
FaceAttributeType.HeadPose,
FaceAttributeType.Glasses,
FaceAttributeType.Emotion,
FaceAttributeType.Accessories
};
// Create CosmosDB Client.
FaceCountDB faceCountDB = new FaceCountDB(
appSettings.FaceCountDB_Endpoint,
appSettings.FaceCountDB_Key,
appSettings.DatabaseId,
appSettings.ContainerId);
if (!faceCountDB.IsInitialized())
{
Console.WriteLine("Failed CosmosDB initialization.");
return;
}
// Create grabber.
FrameGrabber <IList <DetectedFace> > grabber = new FrameGrabber <IList <DetectedFace> >();
// Check Cameras.
// At this time, there is a memory leak issue in Opencv 4.*
// https://github.com/opencv/opencv/issues/13255
// If you want to disable the warning messages, you try to set the environment variable of OPENCV_VIDEOIO_PRIORITY_MSMF to 0.
int numCameras = grabber.GetNumCameras();
if (numCameras == 0)
{
Console.WriteLine("No cameras found.");
return;
}
Console.WriteLine($"Deteced {numCameras} camera(s).");
if (appSettings.CameraIndex + 1 > numCameras)
{
Console.WriteLine("'CameraIndex' is invalid");
return;
}
// Set up a listener for when we acquire a new frame.
grabber.NewFrameProvided += (s, e) =>
{
};
// Set up Face API call.
grabber.AnalysisFunction = async frame =>
{
// Encode image and submit to Face API.
// After the "mask' attribute is supported on the latest Face .NET SDK,
// will replace this method with DetectWithStreamAsync.
return(await CallFaceApiAsync(frame.Image.ToMemoryStream(".jpg"), appSettings));
//return await faceClient.Face.DetectWithStreamAsync(frame.Image.ToMemoryStream(".jpg"), true, false, faceAttributes);
//return await faceClient.Face.DetectWithStreamAsync(frame.Image.ToMemoryStream(".jpg"), true, false,
// Hope this "mask" attribute will be added to Face .NET SDK soon
//returnFaceAttributes: new List<FaceAttributeType?> { FaceAttributeType.Mask },
// The recognition_04 model (published 2021) is the most accurate model currently available.
//recognitionModel: "recognition_04", returnRecognitionModel: true,
// The detection_03 model (published 2021) is the latest model that should be used with recognition_04 model.
//detectionModel: "detection_03");
};
// Set up a listener for when we receive a new result from an API call.
grabber.NewResultAvailable += (s, e) =>
{
if (e.TimedOut)
{
Console.WriteLine("API call timed out.");
}
else if (e.Exception != null)
{
Console.WriteLine("API call threw an exception.");
}
else
{
long maskCount = GetMaskCount2021(e.Analysis);
faceCountDB.UpdateFaceCount(e.Analysis.Count, maskCount, appSettings.PlaceName);
Console.WriteLine("New result received for frame acquired at {0}. {1} faces, {2} masks detected", e.Frame.Metadata.Timestamp, e.Analysis.Count, maskCount);
}
};
// Tell grabber when to call API.
// See also TriggerAnalysisOnPredicate
grabber.TriggerAnalysisOnInterval(TimeSpan.FromSeconds(appSettings.AnalysisIntervalInSeconds));
// Start running in the background.
grabber.StartProcessingCameraAsync(appSettings.CameraIndex).Wait();
// Wait for keypress to stop
Console.WriteLine("Congestion Camera Console App has been successfully started.");
Console.WriteLine("Press any key to stop...");
Console.ReadKey();
// Stop, blocking until done.
grabber.StopProcessingAsync().Wait();
}
