public void bilinearfillHoles(Form1 form1)
{
Emgu.CV.Image <Gray, ushort> filledsurface = sc.image;
for (int i = 1; i < sc.image.Height - 1; i++)
{
form1.progressBar1.Value = i / filledsurface.Height;
for (int j = 1; j < sc.image.Width - 1; j++)
{
if (sc.image.Data[i, j, 0] == 0)
{
if (sc.image.Data[i + 1, j + 1, 0] != 0 && sc.image.Data[i - 1, j - 1, 0] != 0 && sc.image.Data[i + 1, j - 1, 0] != 0 && sc.image.Data[i - 1, j + 1, 0] != 0)
{
ushort a11 = sc.image.Data[i - 1, j - 1, 0];
ushort a12 = sc.image.Data[i + 1, j - 1, 0];
ushort a21 = sc.image.Data[i - 1, j + 1, 0];
ushort a22 = sc.image.Data[i + 1, j + 1, 0];
float r1 = a11 / 2 + a12 / 2;
float r2 = a21 / 2 + a22 / 2;
float p = r1 / 2 + r2 / 2;
filledsurface.Data[i, j, 0] = (ushort)p;
}
}
}
for (int j = 1; j < sc.image.Width - 1; j++)
{
form1.progressBar1.Value = i / filledsurface.Height;
if (sc.image.Data[i, j, 0] == 0)
{
if (sc.image.Data[i + 1, j, 0] != 0 && sc.image.Data[i - 1, j, 0] != 0 && sc.image.Data[i, j - 1, 0] != 0 && sc.image.Data[i, j + 1, 0] != 0)
{
ushort a11 = sc.image.Data[i - 1, j, 0];
ushort a12 = sc.image.Data[i, j + 1, 0];
ushort a21 = sc.image.Data[i, j - 1, 0];
ushort a22 = sc.image.Data[i + 1, j, 0];
float r1 = a11 / 2 + a12 / 2;
float r2 = a21 / 2 + a22 / 2;
float p = r1 / 2 + r2 / 2;
filledsurface.Data[i, j, 0] = (ushort)p;
}
}
}
}
form1.progressBar1.Value = 100;
filledsurface.Save(form1.SavePath + "\\" + "surface_bilin_filled.png");
filledsurface.Save(form1.SavePath + "\\" + "surface.png");
form1.pictureBox1.Image = filledsurface.ToBitmap();
sc.image = filledsurface;
}
public static void CropAndNormalizeObjects()
{
List <PSM4TxSample> samples = LoadSamples(@"\users\jie\projects\Intel\data\PSM4-Tx\20160722\Original");
for (int i = 0; i < samples.Count; i++)
{
PSM4TxSample sample = samples[i];
Emgu.CV.Image <Gray, byte> image = new Emgu.CV.Image <Gray, byte>(sample.imageFile);
//{ //Aperture
// //Extends in X direction to make width 240 pixels
// double diff_x = APERTURE_ORIGINAL_WIDTH - sample.apertureW;
// //Extends in Y direction to make 2000 pixels
// double diff_y = APERTURE_ORIGINAL_HEIGHT - sample.apertureH;
// Rectangle rect = new Rectangle((int)(sample.apertureX - diff_x / 2 + 0.5), (int)(sample.apertureY - diff_y / 2 + 0.5), APERTURE_ORIGINAL_WIDTH, APERTURE_ORIGINAL_HEIGHT);
// image.ROI = rect;
// Emgu.CV.Image<Gray, byte> normalized = image.Resize(APERTURE_HOG_WIDTH, APERTURE_HOG_HEIGHT, Inter.Linear);
// string cropped_file = sample.imageFile.Replace("original", "Aperture");
// normalized.Save(cropped_file);
//}
//{ //arrayblock
// //Extends in X direction to make width 1200 pixels
// double diff_x = ARRAYBLOCK_ORIGINAL_WIDTH - sample.arrayblockW;
// //Extends in Y direction to make 1600 pixels
// double diff_y = ARRAYBLOCK_ORIGINAL_HEIGHT - sample.arrayblockH;
// Rectangle rect = new Rectangle((int)(sample.arrayblockX - diff_x / 2 + 0.5), (int)(sample.arrayblockY - diff_y / 2 + 0.5), ARRAYBLOCK_ORIGINAL_WIDTH, ARRAYBLOCK_ORIGINAL_HEIGHT);
// image.ROI = rect;
// Emgu.CV.Image<Gray, byte> normalized = image.Resize(ARRAYBLOCK_HOG_WIDTH, ARRAYBLOCK_HOG_HEIGHT, Inter.Linear);
// string cropped_file = sample.imageFile.Replace("original", "Arrayblock");
// normalized.Save(cropped_file);
//}
{ //Isolator
//Extends in X direction to make width 1000 pixels
double diff_x = ISOLATOR_ORIGINAL_WIDTH - sample.isolatorW;
//Extends in Y direction to make 1600 pixels
double diff_y = ISOLATOR_ORIGINAL_HEIGHT - sample.isolatorH;
Rectangle rect = new Rectangle((int)(sample.isolatorX - diff_x / 2 + 0.5), (int)(sample.isolatorY - diff_y / 2 + 0.5), ISOLATOR_ORIGINAL_WIDTH, ISOLATOR_ORIGINAL_HEIGHT);
image.ROI = rect;
Emgu.CV.Image <Gray, byte> normalized = image.Resize(ISOLATOR_HOG_WIDTH, ISOLATOR_HOG_HEIGHT, Inter.Linear);
string cropped_file = sample.imageFile.Replace("original", "Isolator");
normalized.Save(cropped_file);
}
}
}
public static async Task UploadImage(Emgu.CV.Image <Bgr, Byte> img)
{
img.Save("face.jpg");
try
{
var client = new ImgurClient("daa2923d8975323", "d37d874c8356e6a43921688675c2343f91e2f868");
var endpoint = new ImageEndpoint(client);
Imgur.API.Models.IImage image;
using (var fs = new FileStream(@"face.jpg", FileMode.Open))
{
image = await endpoint.UploadImageStreamAsync(fs);
}
Debug.Write("Image uploaded. Image Url: " + image.Link);
sendTwilio(image.Link);
}
catch (ImgurException imgurEx)
{
Debug.Write("An error occurred uploading an image to Imgur.");
Debug.Write(imgurEx.Message);
}
}
public static void NegativeIsolatorPatches()
{
List <PSM4TxSample> samples = LoadSamples(@"\users\jie\projects\Intel\data\PSM4-Tx\20160722\Original");
for (int i = 0; i < samples.Count; i++)
{
PSM4TxSample sample = samples[i];
Emgu.CV.Image <Gray, byte> image = new Emgu.CV.Image <Gray, byte>(sample.imageFile);
int image_width = image.Width, image_height = image.Height;
Random rand = new Random();
for (int k = 0; k < 2; k++)
{
int x, y, w = ISOLATOR_ORIGINAL_WIDTH, h = ISOLATOR_ORIGINAL_HEIGHT;
x = rand.Next(0, image_width); y = rand.Next(0, image_height);
if (x + w >= image_width || y + h >= image_height)
{
k--; continue;
}
Rectangle rect = new Rectangle(x, y, w, h);
image.ROI = rect;
Emgu.CV.Image <Gray, byte> neg_image = image.Resize(ISOLATOR_HOG_WIDTH, ISOLATOR_HOG_HEIGHT, Inter.Linear);
string negative_image_file = sample.imageFile.Replace("original", @"IsolatorNegative");
negative_image_file = negative_image_file.Insert(negative_image_file.LastIndexOf('.'), "." + k.ToString());
string folder = Path.GetDirectoryName(negative_image_file);
if (!Directory.Exists(folder))
{
Directory.CreateDirectory(folder);
}
neg_image.Save(negative_image_file);
}
}
}
private bool elaboraFoto(byte[] img)
{
try
{
Emgu.CV.Image <Bgr, byte> image;
using (var byteStream = new MemoryStream(img))
{
image = new Emgu.CV.Image <Bgr, byte>(new Bitmap(byteStream));
}
long detectionTime;
List <System.Drawing.Rectangle> faces = new List <System.Drawing.Rectangle>();
List <System.Drawing.Rectangle> eyes = new List <System.Drawing.Rectangle>();
//The cuda cascade classifier doesn't seem to be able to load "haarcascade_frontalface_default.xml" file in this release
//disabling CUDA module for now
bool tryUseCuda = false;
/*Per vedere se sono state rilevate facce o occhi eventualmente possiamo mettere
* un contatore che ci dice quante facce o occhi ci sono
*/
bool face_detect = false;
bool eye_detect = false;
DetectFace.Detect(
image.Mat, "haarcascade_frontalface_default.xml", "haarcascade_eye.xml",
faces, eyes,
tryUseCuda,
out detectionTime);
foreach (System.Drawing.Rectangle face in faces)
{
CvInvoke.Rectangle(image, face, new Bgr(System.Drawing.Color.Red).MCvScalar, 2);
face_detect = true;
}
foreach (System.Drawing.Rectangle eye in eyes)
{
CvInvoke.Rectangle(image, eye, new Bgr(System.Drawing.Color.Blue).MCvScalar, 2);
eye_detect = true;
}
image.Save("Result.bmp");
Bitmap result = image.ToBitmap();
byte[] xByte = ToByteArray(result, ImageFormat.Bmp);
int id;
//qui salva la foto solo se è stata rilevata una faccia o degli occhi
if (face_detect || eye_detect)
{
inserisciFoto(xByte, true);
id = recuperaUltimoId();
recuperaFoto(id);
return(true);
}
else
{
inserisciFoto(xByte, false);
id = recuperaUltimoId();
recuperaFoto(id);
return(false);
}
}
catch (Exception e)
{
Debug.Print("Exception: " + e);
return(false);
}
}
public void fillHoles(Form1 form1)
{
Emgu.CV.Image <Gray, ushort> filledsurface = sc.image;
for (int i = 3; i < filledsurface.Height - 4; i++)
{
form1.progressBar1.Value = i / filledsurface.Height;
for (int j = 3; j < filledsurface.Width - 4; j++)
{
bool frame = true;
uint sumframe = 0;
uint suminner = 0;
int count = 0;
#region frame check
for (int k = -3; k <= 3; k++)
{
if (filledsurface.Data[i + k, j - 3, 0] != 0)
{
sumframe += filledsurface.Data[i + k, j - 3, 0];
}
else
{
frame = false;
}
if (filledsurface.Data[i + k, j + 3, 0] != 0 && frame == true)
{
sumframe += filledsurface.Data[i + k, j + 3, 0];
}
else
{
frame = false;
}
}
for (int k = -2; k <= 2; k++)
{
if (filledsurface.Data[i - 3, j + k, 0] != 0 && frame == true)
{
sumframe += filledsurface.Data[i - 3, j + k, 0];
}
else
{
frame = false;
}
if (filledsurface.Data[i + 3, j + k, 0] != 0 && frame == true)
{
sumframe += filledsurface.Data[i + 3, j + k, 0];
}
else
{
frame = false;
}
}
#endregion
if (frame == false)
{
continue;
}
for (int k = -2; k <= 2; k++)
{
for (int l = -2; l <= 2; l++)
{
if (filledsurface.Data[i + k, j + l, 0] != 0)
{
suminner += filledsurface.Data[i + k, j + l, 0];
count++;
}
}
}
if (count == 0 || count == 25)
{
continue;
}
if (Math.Abs(suminner / count - sumframe / 24) < 100)
{
for (int k = -2; k <= 2; k++)
{
for (int l = -2; l <= 2; l++)
{
if (filledsurface.Data[i + k, j + l, 0] == 0)
{
filledsurface.Data[i + k, j + l, 0] = (ushort)(suminner / count);
}
}
}
}
}
}
form1.progressBar1.Value = 100;
filledsurface.Save(form1.SavePath + "\\" + "surface_filled.png");
filledsurface.Save(form1.SavePath + "\\" + "surface.png");
form1.pictureBox1.Image = filledsurface.ToBitmap();
sc.image = filledsurface;
}
public int apply(string fileName, string output)
{
int counter = 0;
Emgu.CV.Image<Bgr, Byte> imgS = new Emgu.CV.Image<Bgr, Byte>(fileName);
Emgu.CV.Image<Gray, Byte> img = new Emgu.CV.Image<Gray, Byte>(fileName);
//Emgu.CV.Image<Gray, Byte> imgGray = new Image<Gray, byte>(img.Width, img.Height);
//CvInvoke.cvCvtColor(img, imgGray, COLOR_CONVERSION.BGR2GRAY);
int thresh = 1;
int max_thresh = 255;
img = img.ThresholdBinary(new Gray(thresh), new Gray(max_thresh));
img.Save(output.Replace(".", "_binary."));
Contour<Point> contur = img.FindContours(Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE, Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_CCOMP);
Emgu.CV.CvInvoke.cvDrawContours(imgS, contur, new MCvScalar(0, 0, 255), new MCvScalar(0, 0, 255), 1, 1, LINE_TYPE.EIGHT_CONNECTED, new Point(0, 0));
contur = img.FindContours(Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE, Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_CCOMP);
while (contur != null && contur.HNext != null)
{
if (counter == 0) { counter++; }
contur = contur.HNext;
counter++;
}
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_SIMPLEX, 0.8f, 0.8f);
MCvScalar color = new MCvScalar(255, 255, 255);
CvInvoke.cvPutText(imgS, "counter:" + counter, new Point(10, 20), ref font, color);
imgS.Save(output);
return counter;
}
private void temporizador_Tick(object sender, EventArgs e)
{
string sufijo = "";
string cadAux = "";
sufijo = id.ToString();
cadAux=sufijo.PadLeft(10, '0');
imagenCapturada = capturador.QueryFrame();
imagenCapturada.Save(rutaAlmacenamiento+"\\"+ nombre+cadAux + ".jpg");
id++;
controlImagen.Image = imagenCapturada;
}
public void generateOutput(List<KeyValuePair<int, int>> pairList, int bestK, string dir, string outPutDir,string fileFormat)
{
//Find similar data
List<KeyValuePair<int, int>> blendList = new List<KeyValuePair<int, int>>(bestK);
List<int> lonelyList = new List<int>(bestK);
for (int i = 0; i < pairList.Count; i++)
{
for (int j = 0; j < pairList.Count; j++)
{
if (pairList[i].Key == pairList[j].Value && pairList[j].Key == pairList[i].Value)
{
if (!(blendList.Contains(pairList[i]) || blendList.Contains(pairList[j])))
{
blendList.Add(pairList[i]);
}
}
}
}
for (int i = 0; i < pairList.Count; i++)
{
bool key = true;
for (int j = 0; j < blendList.Count; j++)
{
if (pairList[i].Key == blendList[j].Key || pairList[i].Key == blendList[j].Value)
{
key = false;
}
}
if (key)
{
if (!lonelyList.Contains(pairList[i].Key))
{
lonelyList.Add(pairList[i].Key);
}
}
}
//move not changed layers
for (int i = 0; i < lonelyList.Count; i++)
{
string fileName = String.Format(fileFormat, lonelyList[i]);
System.IO.File.Copy(dir + fileName, outPutDir + fileName, true);
}
//blend and move
for (int j = 0; j < blendList.Count; j++)
{
string fileName1 = String.Format(fileFormat, blendList[j].Key);
Emgu.CV.Image<Bgr, int> img1 = new Emgu.CV.Image<Bgr, int>(dir + fileName1);
string fileName2 = String.Format(fileFormat, blendList[j].Value);
Emgu.CV.Image<Bgr, int> img2 = new Emgu.CV.Image<Bgr, int>(dir + fileName2);
string fileName3 = String.Format(fileFormat, blendList[j].Key + "_" + blendList[j].Value);
Emgu.CV.Image<Bgr, int> img3 = new Emgu.CV.Image<Bgr, int>(img1.Width, img1.Height);
Emgu.CV.CvInvoke.cvAdd(img1, img2, img3, IntPtr.Zero);
img3.Save(outPutDir + fileName3);
}
}
