public FaceEncodingApiTests()
{
instance = new FaceEncodingApi();
}
private static void Main(string[] args)
{
if (args.Length != 2)
{
Console.WriteLine($"[Error] {nameof(FaceEncoding)} <url> <image file path>");
return;
}
var url = args[0];
var file = args[1];
if (!File.Exists(file))
{
Console.WriteLine($"[Error] '{file}' does not exist");
return;
}
var faceDetectionApi = new FaceDetectionApi(url);
var faceEncodingApi = new FaceEncodingApi(url);
try
{
var image = new FaceRecognitionDotNet.Client.Model.Image(File.ReadAllBytes(file));
var detectionResponse = faceDetectionApi.FaceDetectionLocationsPostWithHttpInfo(image);
if (detectionResponse.StatusCode != System.Net.HttpStatusCode.OK)
{
Console.WriteLine($"[Error] {nameof(FaceDetectionApi)} returns {detectionResponse.StatusCode}");
return;
}
Console.WriteLine($"[Info] Find {detectionResponse.Data.Count} faces");
foreach (var faceArea in detectionResponse.Data)
{
using var bitmap = (Bitmap)Image.FromFile(file);
var w = faceArea.Right - faceArea.Left;
var h = faceArea.Bottom - faceArea.Top;
using var cropped = new Bitmap(w, h, bitmap.PixelFormat);
using (var g = Graphics.FromImage(cropped))
g.DrawImage(bitmap, new Rectangle(0, 0, w, h), new Rectangle(faceArea.Left, faceArea.Top, w, h), GraphicsUnit.Pixel);
using (var ms = new MemoryStream())
{
cropped.Save(ms, ImageFormat.Png);
var croppedImage = new FaceRecognitionDotNet.Client.Model.Image(ms.ToArray());
var encodingResponse = faceEncodingApi.FaceEncodingEncodingPostWithHttpInfo(croppedImage);
if (encodingResponse.StatusCode != System.Net.HttpStatusCode.OK)
{
Console.WriteLine($"[Error] {nameof(FaceEncodingApi)} returns {encodingResponse.StatusCode}");
return;
}
Console.WriteLine($"[Info] Face Encoding has {encodingResponse.Data.Data.Count} length");
}
}
}
catch (Exception e)
{
Console.WriteLine(e);
}
}
public async Task <string> Register(RegistrationViewModel registrationViewModel, byte[] image)
{
var faceDetectionApi = new FaceDetectionApi(this._EndPointUrl);
var faceEncodingApi = new FaceEncodingApi(this._EndPointUrl);
var faceRegistrationApi = new FaceRegistrationApi(this._EndPointUrl);
try
{
var target = new Client.Model.Image(image);
var detectResult = await faceDetectionApi.FaceDetectionLocationsPostWithHttpInfoAsync(target);
if (detectResult.StatusCode != System.Net.HttpStatusCode.OK)
{
return("Failed to invoke service");
}
if (detectResult.Data.Count == 0)
{
return("Failed to detect face");
}
if (detectResult.Data.Count != 1)
{
return("Detect multiple faces");
}
var area = detectResult.Data.First();
await using var memoryStream = new MemoryStream(image);
using var bitmap = Image.FromStream(memoryStream);
var x = area.Left;
var y = area.Top;
var width = area.Right - area.Left;
var height = area.Right - area.Left;
using var cropped = new Bitmap(width, height, PixelFormat.Format24bppRgb);
using var g = Graphics.FromImage(cropped);
g.DrawImage(bitmap, new Rectangle(0, 0, width, height), new Rectangle(x, y, width, height), GraphicsUnit.Pixel);
await using var croppedMemoryStream = new MemoryStream();
cropped.Save(croppedMemoryStream, ImageFormat.Png);
target = new Client.Model.Image(croppedMemoryStream.ToArray());
var encodingResult = await faceEncodingApi.FaceEncodingEncodingPostWithHttpInfoAsync(target);
if (encodingResult.StatusCode != System.Net.HttpStatusCode.OK)
{
return("Failed to invoke service");
}
var registration = new Registration
(
new Demographics(registrationViewModel.Id,
registrationViewModel.FirstName,
registrationViewModel.LastName,
DateTime.UtcNow),
new Encoding(encodingResult.Data.Data),
new Client.Model.Image(croppedMemoryStream.ToArray())
);
var registrationResult = await faceRegistrationApi.FaceRegistrationRegisterPostWithHttpInfoAsync(registration);
if (registrationResult.StatusCode != System.Net.HttpStatusCode.OK)
{
return("Failed to register");
}
}
catch (Exception e)
{
Console.WriteLine(e);
}
return(null);
}
