public void NoFacePictureTest()
{
string imagePath = Path.Combine(imageFolder, "Taiwan.png");
Bitmap image = new Bitmap(imagePath);
MemoryStream memoryStream = new MemoryStream();
image.Save(memoryStream, ImageFormat.Jpeg);
image.Dispose();
var faces = faceDetector.Detect(memoryStream.ToArray());
Assert.AreEqual(faces.ToArray().Length, 0);
}
private void ProcessFrame(object sender, EventArgs e)
{
if (capture != null)
{
using (Mat frame = new Mat())
{
capture.Retrieve(frame, 0);
IEnumerable <IReadOnlyDictionary <string, int> > faces = faceDetection.Detect(frame);
IEnumerable <Rectangle> facesRectangle = faces.Select(face => new Rectangle(face["top"], face["left"], face["width"], face["height"]));
foreach (Rectangle faceRectangle in facesRectangle)
{
Mat face = FaceDetector.GetFaceImage(frame, faceRectangle);
bool result = faceMaskDetector.Detect(BitmapExtension.ToBitmap(face));
if (result)
{
CvInvoke.Rectangle(frame, faceRectangle, new Bgr(Color.Green).MCvScalar, 2);
}
else
{
CvInvoke.Rectangle(frame, faceRectangle, new Bgr(Color.Yellow).MCvScalar, 2);
}
}
imageBox1.Image = frame.ToImage <Bgr, byte>();
}
}
}
public override SparseArray Detect(Frame frame)
{
try
{
var _framebuff = frame.GrayscaleImageData.Duplicate();
var _frametimestamp = frame.GetMetadata().TimestampMillis;
var detected = _detector.Detect(frame);
_compressDataTasks.Add(Task.Run(() => Utils.AddConvertByteBuffer(ref _allFrameData, _framebuff, _frametimestamp, detected, frame.GetMetadata().Width, frame.GetMetadata().Height, _compressquality)));
return(detected);
}
catch (Exception e)
{
return(_detector.Detect(frame));
}
}
private void ProcessCameraPicture()
{
Bitmap bitmap = DecodeBitmapUri(this, imageUri);
if (detector.IsOperational && bitmap != null)
{
editedBitmap = Bitmap.CreateBitmap(bitmap.Width, bitmap
.Height, bitmap.GetConfig());
float scale = Resources.DisplayMetrics.Density;
Paint paint = new Paint(PaintFlags.AntiAlias);
paint.Color = Color.Green;
paint.TextSize = (int)(16 * scale);
paint.SetShadowLayer(1f, 0f, 1f, Color.White);
paint.SetStyle(Paint.Style.Stroke);
paint.StrokeWidth = 6f;
Canvas canvas = new Canvas(editedBitmap);
canvas.DrawBitmap(bitmap, 0, 0, paint);
Frame frame = new Frame.Builder().SetBitmap(editedBitmap).Build();
SparseArray faces = detector.Detect(frame);
string text = "";
for (int index = 0; index < faces.Size(); ++index)
{
Face face = faces.ValueAt(index) as Face;
canvas.DrawRect(
face.Position.X,
face.Position.Y,
face.Position.X + face.Width,
face.Position.Y + face.Height, paint); //CREA EL RECUADRO
text += "Cara " + (index + 1) + "\n";
text += "Probilidad de una sonrisa:" + " " + face.IsSmilingProbability * 100 + "\n";
text += "Probilidad que el ojo izquierdo este abierto : " + " " + face.IsLeftEyeOpenProbability * 100 + "\n";
text += "Probilidad que el ojo derecho este abierto: " + " " + face.IsRightEyeOpenProbability * 100 + "\n";
foreach (Landmark landmark in face.Landmarks)
{
int cx = (int)(landmark.Position.X);
int cy = (int)(landmark.Position.Y);
canvas.DrawCircle(cx, cy, 8, paint); // CREA EL CIRCULO
}
}
if (faces.Size() == 0)
{
txtDescription.Text = "Scaneo fallido";
}
else
{
_imageView.SetImageBitmap(editedBitmap);
text += "\n\n" + "Numero de caras detectadas: " + " " + faces.Size().ToString() + "\n\n";
}
txtDescription.Text = text;
}
else
{
txtDescription.Text = "No se pudo configurar el detector!";
}
}
static void Main(string[] args)
{
//Load Bitmap
Bitmap bmp = new Bitmap("./test.bmp");
//FaceDetector
FaceDetector fd = new FaceDetector("./haarcascade_frontalface_alt2.xml");
var result = fd.Detect(bmp, 2.0);
//Output Bitmap
for (int i = 0; i < result.Count; i++)
{
result[i].Save("./result/result_" + i + ".bmp");
}
}
// ｢撮影｣クリック時に画像を保存
private void BtnCapture_Click(object sender, EventArgs e)
{
//Cv2.ImWrite("capt1.jpg", GetCapture(0));
//Cv2.ImWrite("capt2.jpg", GetCapture(1));
//PicPicture2.ImageLocation = "capt1.jpg";
//PicPicture3.ImageLocation = "capt2.jpg";
//return;
// 時刻取得
captureDt = "";
dt = DateTime.Now;
captureDt += (dt.Year).ToString("0000");
captureDt += (dt.Month).ToString("00");
captureDt += (dt.Day).ToString("00");
captureDt += (dt.Hour).ToString("00");
captureDt += (dt.Minute).ToString("00");
captureDt += (dt.Second).ToString("00");
Cv2.ImWrite("C:\\record\\capture\\" + captureDt + "_0.bmp", GetCapture(0));
Cv2.ImWrite("C:\\record\\capture\\" + captureDt + "_1.bmp", GetCapture(1));
PicPicture1.ImageLocation = "C:\\record\\capture\\" + captureDt + "_0.bmp";
PicPicture2.ImageLocation = "C:\\record\\capture\\" + captureDt + "_1.bmp";
// 画像撮影と、ファイル名指定保存
//m_LatestImage.Save("img" + captureDt + ".bmp", System.Drawing.Imaging.ImageFormat.Bmp);
//m_LatestImage.Save("C:\\record\\capture\\img" + captureDt + ".bmp", System.Drawing.Imaging.ImageFormat.Bmp);
// 撮影時刻を画面に表示
LblCapture.Text = dt + " に撮影しました。";
//Bitmap bmp = new Bitmap("./img" + captureDt + ".bmp");
Bitmap bmp = new Bitmap("C:\\record\\capture\\" + captureDt + "_" + cmbCamera.SelectedIndex + ".bmp");
FaceDetectTools.FaceDetector fd = new FaceDetector("./haarcascade_frontalface_alt2.xml");
var result = fd.Detect(bmp, 2.0);
//Output Bitmap
output = "";
try {
int i;
for (i = 0; i < result.Count; i++)
{
result[i].Save("./result/result_" + i + ".bmp");
}
//認証コマンドを実行する
Process p = new Process();
string wkFileName = string.Format(Properties.Settings.Default.FormatAuthFileName, Properties.Settings.Default.PathExe);
string wkArguments = string.Format(Properties.Settings.Default.FormatAuthArguments, Properties.Settings.Default.PathImg);
p.StartInfo.FileName = wkFileName; // 実行するファイル
p.StartInfo.Arguments = wkArguments; // 引数
p.StartInfo.CreateNoWindow = true; // コンソールを開かない
p.StartInfo.UseShellExecute = false; // シェル機能を使用しない
p.StartInfo.RedirectStandardOutput = true; // 標準出力をリダイレクト
p.Start(); // アプリの実行開始
output = p.StandardOutput.ReadToEnd(); // 標準出力の読み取り
LblMessage.Text = output;
}
catch {
LblMessage.Text = "顔が検出されませんでした";
output = "顔が検出できませんでした";
}
Encoding enc = Encoding.GetEncoding("Shift_JIS");
StreamWriter writer = new StreamWriter("C:\\record\\Record.csv", true, enc);
writer.WriteLine(Convert.ToString(dt) + "," + captureDt + "_" + cmbCamera.SelectedIndex + ".bmp" + "," + output);
writer.Close();
}
private async Task FaceDetectAsync(FaceDetector detector, MediaCapture capture, CancellationToken token)
{
if (detector == null || capture == null || token == null)
{
throw new ArgumentNullException();
}
var previewProperties = capture.VideoDeviceController.GetMediaStreamProperties(MediaStreamType.VideoPreview) as VideoEncodingProperties;
var videoFrame = new VideoFrame(BitmapPixelFormat.Bgra8, (int)previewProperties.Width, (int)previewProperties.Height);
int width = (int)previewProperties.Width;
int height = (int)previewProperties.Height;
FaceDetectResult result = null;
var stopWatch = Stopwatch.StartNew();
{
using (var currentFrame = await capture.GetPreviewFrameAsync(videoFrame))
using (var softwareBitmap = currentFrame.SoftwareBitmap)
{
if (softwareBitmap == null)
{
return;
}
// SoftwareBitmap -> byte array
var buffer = new byte[4 * width * height];
softwareBitmap.CopyToBuffer(buffer.AsBuffer());
token.ThrowIfCancellationRequested();
// Detect face
result = detector.Detect(buffer, width, height);
token.ThrowIfCancellationRequested();
}
}
stopWatch.Stop();
videoFrame.Dispose();
// Draw result to Canvas
await Dispatcher.RunAsync(CoreDispatcherPriority.High, () =>
{
FaceDrawCanvas.Width = width;
FaceDrawCanvas.Height = height;
// Draw fps
FpsTextBlock.Text = (1000 / stopWatch.ElapsedMilliseconds) + "fps";
// Draw face point
if (_faceDrawer != null && result != null)
{
List <FaceDetectData> faces = new List <FaceDetectData>();
foreach (var f in result.Faces)
{
FaceDetectData data = new FaceDetectData();
data.FaceRect = f.FaceRect;
foreach (var p in f.FacePoints)
{
data.FaceLandmarks.Add(p);
}
faces.Add(data);
}
_faceDrawer.DrawToCanvas(FaceDrawCanvas, faces);
}
});
}
