public async Task <IHttpActionResult> TrainRecognizer(int userID, int imgCount)
{
if (imgCount < 1 || imgCount > 50)
{
return(ResponseMessage(Request.CreateResponse(HttpStatusCode.BadRequest, Request.Content)));
}
var currentPerson = Storage.FindPersonByID(userID);
if (currentPerson == null)
{
return(ResponseMessage(Request.CreateResponse(HttpStatusCode.BadRequest, Request.Content)));
}
var buffer = await Request.Content.ReadAsByteArrayAsync();
if (buffer.Length != IMAGE_BYTE_COUNT * imgCount)
{
return(ResponseMessage(Request.CreateResponse(HttpStatusCode.BadRequest, Request.Content)));
}
var imagesToTrain = new List <Image <Gray, byte> >(imgCount);
for (int i = 0; i < imgCount; ++i)
{
imagesToTrain.Add(Statics.ByteArrayToImage(Statics.SubArray(buffer, i * IMAGE_BYTE_COUNT, IMAGE_BYTE_COUNT), 240, 320));
}
Statics.TrainSinglePersonFaces(imagesToTrain, userID);
return(Ok());
}
public async Task <IHttpActionResult> RecognizeUser()
{
/*if (!Request.Content.IsMimeMultipartContent() || !Request.Content.Headers.ContentType.Equals("application/octet-stream"))
* {
* //throw new HttpResponseException(HttpStatusCode.UnsupportedMediaType);
* return ResponseMessage(Request.CreateResponse(HttpStatusCode.UnsupportedMediaType, Request.Content));
* }
*
* var provider = new MultipartMemoryStreamProvider();
* await Request.Content.ReadAsMultipartAsync(provider);
* if (provider.Contents.Count != 1)
* {
* //throw new HttpResponseException(HttpStatusCode.BadRequest);
* return ResponseMessage(Request.CreateResponse(HttpStatusCode.BadRequest, Request.Content));
* }
*
* var file = provider.Contents[0];
* var buffer = await file.ReadAsByteArrayAsync();*/
var buffer = await Request.Content.ReadAsByteArrayAsync();
Debug.WriteLine(buffer.Length);
File.WriteAllBytes("D:/SomeDump/uploaded.bmp", buffer);
if (buffer.Length != IMAGE_BYTE_COUNT)
{
//throw new HttpResponseException(HttpStatusCode.BadRequest);
return(ResponseMessage(Request.CreateResponse(HttpStatusCode.BadRequest, Request.Content)));
}
if (!EmguSingleton.Instance.RecognizerIsTrained)
{
return(ResponseMessage(Request.CreateResponse(HttpStatusCode.InternalServerError,
new StringContent("Recognition algorythm has not been trained yet - cannot recognize"))));
}
var recognizedUserID = Statics.RecognizeUser(Statics.ByteArrayToImage(buffer, 240, 320));
Person recognized = Storage.FindPersonByID(recognizedUserID);
if (recognized != null)
{
return(Ok(recognized));
}
else
{
return(ResponseMessage(Request.CreateResponse(HttpStatusCode.InternalServerError)));
}
}
public void TestEmguImageCreation()
{
byte[] bytes = File.ReadAllBytes(@"D:\ToTest");
Assert.AreEqual(240 * 320, bytes.Length);
var emguImg = Statics.ByteArrayToImage(bytes, 240, 320);
Assert.IsNotNull(emguImg);
var bitmap = emguImg.ToBitmap(240, 320);
for (int y = 0; y < 320; y++)
{
for (int x = 0; x < 240; x++)
{
Assert.AreEqual(bytes[240 * y + x], bitmap.GetPixel(x, y).R);
Assert.AreEqual(bytes[240 * y + x], bitmap.GetPixel(x, y).G);
Assert.AreEqual(bytes[240 * y + x], bitmap.GetPixel(x, y).B);
}
}
Assert.AreEqual(bytes[0], bitmap.GetPixel(0, 0).B);
bitmap.Save(@"D:\FromTest.bmp");
}
