public async Task <ActionResult> CheckImage()
{
if (System.Web.HttpContext.Current.Request.Files.AllKeys.Any())
{
var pic = System.Web.HttpContext.Current.Request.Files["Image"];
Image image = Image.FromStream(pic.InputStream);
using (var uploadedImage = HelperMethods.ProcessImage(new Bitmap(image)))
{
FrameAnalysisJSON result = await FaceProcessor.ProcessFrame(new Bitmap(uploadedImage));
if (result == null || result.Faces.Count == 0)
{
return(Json(new { result = new List <CroppedFace>() }
, JsonRequestBehavior.AllowGet));
}
List <CroppedFace> croppedFaces = new List <CroppedFace>();
foreach (var face in result.CroppedFaces(uploadedImage, 25))
{
croppedFaces.Add(face);
}
return(Json(new { result = croppedFaces }
, JsonRequestBehavior.AllowGet));
}
}
return(null);
}
//this should probably return action result, otherwise nothing will happen in the frontend IIRC
public async Task <ActionResult> CaptureSnapshot(string imgBase64, string latitude, string longitude)
{
FaceApiCalls apiCalls = new FaceApiCalls(new HttpClientWrapper());
// Prepare base64 string
imgBase64 = imgBase64.Substring(imgBase64.IndexOf("base64,", StringComparison.Ordinal) + 7);
imgBase64 = imgBase64.Substring(0, imgBase64.LastIndexOf("\"", StringComparison.Ordinal));
imgBase64 = imgBase64.Replace(" ", "+");
// Create a bitmap
byte[] bitmapData = Convert.FromBase64String(FixBase64ForImage(imgBase64));
System.IO.MemoryStream streamBitmap = new System.IO.MemoryStream(bitmapData);
Bitmap bitmap = new Bitmap((Bitmap)Image.FromStream(streamBitmap));
bitmap = HelperMethods.ProcessImage(bitmap);
// Analyze bitmap
FrameAnalysisJSON analysisResult = await FaceProcessor.ProcessFrame(bitmap);
if (analysisResult == null)
{
//error must've occured, should alert user.
return(null);
}
if (analysisResult.Faces.Count == 0)
{
return(Json(new { result = "No faces have been found in the provided picture" }, JsonRequestBehavior.AllowGet));
}
var biggestConfidence = LikelinessConfidence.LowProbability;
foreach (var face in analysisResult.Faces)
{
var searchResult = await apiCalls.SearchFaceInFaceset(face.Face_token);
if (searchResult != null)
{
foreach (var likelinessResult in searchResult.LikelinessConfidences()) //might want to set the camera properties to some value.
{
biggestConfidence = (likelinessResult.Confidence > biggestConfidence)
? likelinessResult.Confidence
: biggestConfidence;
await SearchResultHandler.HandleOneResult(result : likelinessResult,
minimumConfidence : LikelinessConfidence.VeryHighProbability,
cameraProperties : new CameraProperties(Convert.ToDouble(latitude), Convert.ToDouble(longitude)));
}
}
}
return
(Json(new
{ result =
string.Format("There's a {0} probability that the person/people from your picture are currently missing. Thank you for the submission, appropriate actions will be taken.",
biggestConfidence.ToPrettyString()) }, JsonRequestBehavior.AllowGet));
}
/// <summary>
/// Uploads the picture
/// Author: Tomas Drasutis
/// </summary>
private async void uploadButton_Click(object sender, EventArgs e)
{
int chosenImageIndex = 0;
Bitmap uploadedImage = ImageUpload.UploadImage();
if (uploadedImage == null)
{
return;
}
else
{
uploadedImage = HelperMethods.ProcessImage(uploadedImage);
}
FrameAnalysisJSON result = await FaceProcessor.ProcessFrame((Bitmap)uploadedImage.Clone());
missingPersonPictureBox.Image?.Dispose();
missingPersonPictureBox.Image = null;
if (result == null)
{
MessageBox.Show(Messages.errorWhileAnalysingImage);
validImage = false;
return;
}
switch (result.Faces.Count)
{
case 0:
MessageBox.Show(Messages.noFacesInImage);
validImage = false;
uploadedImage.Dispose();
return;
case 1:
break;
default:
var chooseFaceForm = new ChooseFaceFormcs(result.Faces, uploadedImage);
chooseFaceForm.ShowDialog();
if (chooseFaceForm.DialogResult == DialogResult.OK)
{
chosenImageIndex = chooseFaceForm.SelectedFace;
chooseFaceForm.Dispose();
}
else
{
return;
}
break;
}
validImage = true;
missingPersonPictureBox.Image = HelperMethods.CropImage(uploadedImage, result.Faces[chosenImageIndex].Face_rectangle, 25);
faceToken = result.Faces[chosenImageIndex].Face_token;
}