public ActionResult UploadFace(int?id)
{
ActionResult res = AjaxSubmit(id);
// string message = System.Web.HttpContext.Current.Request.MapPath(System.Web.HttpContext.Current.Request.ApplicationPath);
// Response.Write("<script language=VBScript>MsgBox " + message + "</script>");
if ((Session["ContentStream"] != null) &&
(Session["ContentStream"].GetType() == typeof(byte[])))
{
byte[] arr = (byte[])Session["ContentStream"];
OpenCvSharp.IplImage[] imgs = null;
OpenCvSharp.IplImage img = support.ByteArrayToIplImage(arr, OpenCvSharp.LoadMode.Unchanged);
if (img != null)
{
imgs = HaarCascade.GetFaces(img);
}
if (imgs != null && imgs.Length > 0)
{
Session["ContentStream"] = support.IplImageToByteArray(imgs[0]);
Session["ContentLength"] = imgs[0].ImageSize;
}
else
{
Session["ContentLength"] = null;
Session["ContentStream"] = null;
Response.Write("error");
return(null);
}
OpenCvSharp.Cv.ReleaseImage(img);
}
return(res);
}
public void Dispose()
{
if (this.ipl != null)
{
this.ipl.Dispose();
this.ipl = null;
}
if (this.stream != null)
{
this.stream.Dispose();
this.stream = null;
}
}
/// <summary>
/// Take a picture and apply Force Field Transform on it.
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void buttonPicture_Click(object sender, EventArgs e)
{
OpenFileDialog ofd = new OpenFileDialog();
ofd.Multiselect = false;
DialogResult result = ofd.ShowDialog();
if (result != System.Windows.Forms.DialogResult.OK)
{
return;
}
OpenCvSharp.IplImage image = OpenCvSharp.IplImage.FromFile(ofd.FileName);
tracking.TransformImage(image);
}
public static OpenCvSharp.IplImage SubImage(
this OpenCvSharp.IplImage whole,
OpenCvSharp.CvRect region)
{
whole.SetROI(region);
OpenCvSharp.IplImage part =
new OpenCvSharp.IplImage(new OpenCvSharp.CvSize(region.Width, region.Height),
whole.Depth, whole.NChannels);
whole.Copy(part);
whole.ResetROI();
return part;
}
public static OpenCvSharp.IplImage SubImage(
this OpenCvSharp.IplImage whole,
OpenCvSharp.CvRect region)
{
whole.SetROI(region);
OpenCvSharp.IplImage part =
new OpenCvSharp.IplImage(new OpenCvSharp.CvSize(region.Width, region.Height),
whole.Depth, whole.NChannels);
whole.Copy(part);
whole.ResetROI();
return part;
}
private void CompareFace(
Damany.Util.DateTimeRange range,
OpenCvSharp.IplImage targetImage, OpenCvSharp.CvRect rect)
{
try
{
IsRunning = true;
targetImage.ROI = rect;
int count = 0;
var gray = targetImage.GetSub(rect).CvtToGray();
var poi = new PersonOfInterest(targetImage, gray);
var repo = new PersonOfInterest[] { poi };
this._comparer.Load(repo.ToList());
//foreach (var p in portraits)
//{
// if (Exit)
// {
// break;
// }
// this.view.CurrentImage = p.GetIpl().ToBitmap();
// var colorImg = p.GetIpl();
// var imgFromRepository = colorImg.GetSub(p.FaceBounds).CvtToGray();
// var result = this._comparer.CompareTo(imgFromRepository);
// foreach (var repositoryCompareResult in result)
// {
// if (repositoryCompareResult.Similarity > Thresholds[ThresholdIndex])
// {
// count++;
// this.view.AddPortrait(p);
// this.view.SetStatusText(string.Format("检索到 {0} 个目标", count));
// }
// }
//}
}
finally
{
IsRunning = false;
}
}
public ActionResult UpdateAvatar(int?id)
{
ActionResult res = AjaxSubmit(id);
if ((Session["PersonForReview"] != null) &&
(Session["ContentStream"] != null) &&
(Session["PersonForReview"].GetType() == typeof(MembershipPerson)) &&
(Session["ContentStream"].GetType() == typeof(byte[])))
{
OpenCvSharp.IplImage img = support.ByteArrayToIplImage(Session["ContentStream"] as byte[], OpenCvSharp.LoadMode.Unchanged);
if (img == null)
{
return(res);
}
img = ((OpenCvSharp.CPlusPlus.Mat)OpenCvSharp.Cv.EncodeImage(".jpg", img)).ToIplImage();
byte[] buf = support.IplImageToByteArray(img);
Session["ContentStream"] = buf;
Session["ContentLength"] = buf.Length;
(Session["PersonForReview"] as MembershipPerson).person.Avatar = buf;
}
return(res);
}
public static bool FaceRecognizeAndSaveResults(OpenCvSharp.IplImage input, string saveDir, string filePahtPrefix)
{
input.SaveImage(System.IO.Path.GetFullPath("../python/input.png"));
List <Tuple <string, RectangleF> > facesInfo = new List <Tuple <string, RectangleF> >();
if (false == FaceRecognizeAndSaveResultsCommon(saveDir, filePahtPrefix, facesInfo))
{
return(false);
}
foreach (var info in facesInfo)
{
string savePath = info.Item1;
RectangleF face = info.Item2;
using (var faceImage = input.Clone(new OpenCvSharp.CvRect((int)face.X, (int)face.Y, (int)face.Width, (int)face.Height)))
{
faceImage.SaveImage(savePath);
}
}
return(true);
}
private void choosePic_Click(object sender, EventArgs e)
{
if (this.openFileDialog1.ShowDialog(this) == DialogResult.Cancel)
{
return;
}
var img = Damany.Util.Extensions.MiscHelper.FromFileBuffered(this.openFileDialog1.FileName);
this.ipl = OpenCvSharp.IplImage.FromBitmap((Bitmap)img);
var fs = new FaceProcessingWrapper.FaceSpecification();
var suc = _faceComparer.CalcFeature(this.ipl, fs);
if (!suc)
{
MessageBox.Show("人像不满足比对要求，请重新选择人像。",
this.Text,
MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
this.targetPic.Image = img;
this.targetPic.Invalidate();
this.compareButton.Enabled = true;
}
// Watershedアルゴリズムによる画像の領域分割
// パラメータ: 分割数(横), 分割数(縦), マーカサイズ
private OpenCvSharp.CPlusPlus.Mat procWatershed(OpenCvSharp.CPlusPlus.Mat matSrc, int wdiv, int hdiv, int msize)
{
// Matの準備
OpenCvSharp.CPlusPlus.Mat matDst = matSrc.Clone();
// IplImageの準備(C API用)
OpenCvSharp.IplImage iplSrc = matSrc.ToIplImage();
OpenCvSharp.IplImage iplDst = iplSrc.Clone();
// マーカ画像の準備
OpenCvSharp.IplImage iplMarker = new OpenCvSharp.IplImage(iplSrc.Size, OpenCvSharp.BitDepth.S32, 1);
iplMarker.Zero();
// マーカ設置(等分割)
OpenCvSharp.CvPoint[,] mpt = new OpenCvSharp.CvPoint[wdiv, hdiv];
for (int i = 0; i < wdiv; i++)
{
for (int j = 0; j < hdiv; j++)
{
mpt[i, j] = new OpenCvSharp.CvPoint((int)(iplSrc.Width / wdiv * (i + 0.5)), (int)(iplSrc.Height / hdiv * (j + 0.5)));
iplMarker.Circle(mpt[i, j], msize, OpenCvSharp.CvScalar.ScalarAll(i * wdiv + j), OpenCvSharp.Cv.FILLED, OpenCvSharp.LineType.Link8, 0);
}
}
// 分割実行
OpenCvSharp.Cv.Watershed(iplSrc, iplMarker);
// マーカの描画
for (int i = 0; i < wdiv; i++)
{
for (int j = 0; j < hdiv; j++)
{
iplDst.Circle(mpt[i, j], msize, OpenCvSharp.CvColor.White, 3, OpenCvSharp.LineType.Link8, 0);
}
}
// 領域境界の描画
for (int i = 0; i < iplMarker.Height; i++)
{
for (int j = 0; j < iplMarker.Width; j++)
{
int idx = (int)(iplMarker.Get2D(i, j).Val0);
if (idx == -1)
{
iplDst.Set2D(i, j, OpenCvSharp.CvColor.Red);
}
}
}
// IplImage -> Matに戻す
matDst = new OpenCvSharp.CPlusPlus.Mat(iplDst);
return matDst;
}
