public void TrackRedVedio(String videoFile, String outputFile, String targetFile)
{
VideoCapture capture = new VideoCapture(videoFile);
Mat image = new Mat();
OpenCvSharp.CPlusPlus.Size dsize = new OpenCvSharp.CPlusPlus.Size(capture.FrameWidth, capture.FrameHeight);
VideoWriter writer = new VideoWriter(outputFile, FourCC.MJPG, fps, dsize, true);
int k = 0;
List <string> targetList = new List <string>();
while (capture.Read(image))
{
if (k % 1 == 0)
{
double[] target;
Mat res = TrackR(image, out target);
writer.Write(res);
targetList.Add(k + " " + target[0] + " " + target[1]);
}
k++;
// if (k == 100)
// break;
}
;
writer.Release();
Console.WriteLine(k);
IOTools.WriteListToTxt(targetList, targetFile);
}
public static Mat ApplyGaussBlur(Mat src, OpenCvSharp.CPlusPlus.Size s)
{
Mat dst = new Mat();
if (s == null)
{
dst = ApplyGaussBlur(src);
}
else
{
if (src != null)
{
if (s.Height % 2 == 0)
{
s.Height += 1;
}
if (s.Width % 2 == 0)
{
s.Width += 1;
}
Cv2.GaussianBlur(src, dst, s, 0);
}
}
return(dst);
}
//테스트 데이터 한장의 데이터 시핑
public double [] TestDataShipping(int dataNumber)
{
try
{
Mat mat_cat = Cv2.ImRead(Property.testDataPath + Convert.ToString(dataNumber) + ").bmp", LoadMode.Color);
Bitmap [] bitmaps = new Bitmap[1];
List <double> temp_1 = new List <double>();
double[] temp_2;
byte[] temp01;
OpenCvSharp.CPlusPlus.Size size = new OpenCvSharp.CPlusPlus.Size(32, 32);
mat_cat = mat_cat.Resize(size, 0, 0, Interpolation.Linear);
bitmaps[0] = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(mat_cat);
temp01 = imageToByteArray(bitmaps[0]);
temp01.ToList <byte>().ForEach(b => temp_1.Add(Convert.ToDouble(b)));
temp_2 = temp_1.ToArray <double>();
return(temp_2);
}
catch
{
MessageBox.Show("picture 폴더 test (" + Convert.ToString(dataNumber) + ") 포멧 확인");
double[] temp_2 = null;
return(temp_2);
}
}
private Mat preprocessShape(OpenCvSharp.CPlusPlus.Rect shapeRect, Mat sceneMat)
{
var matRect = new OpenCvSharp.CPlusPlus.Rect(0, 0, sceneMat.Width, sceneMat.Height);
shapeRect.Inflate((int)(shapeRect.Width * 0.1), (int)(shapeRect.Height * 0.1));
shapeRect = shapeRect.Intersect(matRect);
Mat shapeMat = sceneMat.SubMat(shapeRect);
var size = new OpenCvSharp.CPlusPlus.Size(128, 128);
shapeMat = shapeMat.Resize(size);
return(shapeMat);
}
public void DrawDLInVedio(String videoFile, String outputFile, String targetFile, String indexFile, int fileoffset, Scalar color)
{
VideoCapture capture = new VideoCapture(videoFile);
Mat image = new Mat();
OpenCvSharp.CPlusPlus.Size dsize = new OpenCvSharp.CPlusPlus.Size(capture.FrameWidth, capture.FrameHeight);
VideoWriter writer = new VideoWriter(outputFile, FourCC.MJPG, fps, dsize, true);
int k = 0;
List <string> targetList = IOTools.ReadListFromTxt(targetFile);
List <string> indexList = IOTools.ReadListFromTxt(indexFile);
int t = 0;
String status = " ";
while (capture.Read(image))
{
String[] ss = targetList[t + fileoffset].Split(' ');
if (t < indexList.Count - 2 && k == int.Parse(indexList[t + 1]))
{
t++;
}
Cv2.Circle(image, (int)double.Parse(ss[0]), (int)double.Parse(ss[1]), 10, color,
2
);
// Cv2.PutText(image, status,
// new Point((int)double.Parse(ss[0]) - 5, (int)double.Parse(ss[1])), FontFace.Italic, 1, color, 3);
if (t > 5)
{
String[] ssPre = targetList[t + fileoffset - 5].Split(' ');
if (double.Parse(ss[1]) - double.Parse(ssPre[1]) < -25)
{
status = "Pick Up";
}
else if (double.Parse(ss[1]) - double.Parse(ssPre[1]) > 30)
{
status = "Put Down";
}
else if (Math.Abs(double.Parse(ss[1]) - double.Parse(targetList[fileoffset].Split(' ')[1])) < 10)
{
status = " ";
}
}
//if (double.Parse(ss[1]) < 420)
writer.Write(image);
k++;
}
;
writer.Release();
}
public void DrawParticlesInVedio(String videoFile, String outputFile, String particlefile, String resultFile)
{
VideoCapture capture = new VideoCapture(videoFile);
Mat image = new Mat();
OpenCvSharp.CPlusPlus.Size dsize = new OpenCvSharp.CPlusPlus.Size(capture.FrameWidth, capture.FrameHeight);
VideoWriter writer = new VideoWriter(outputFile, FourCC.MJPG, fps, dsize, true);
int k = 0;
List <string> targetList = IOTools.ReadListFromTxt(resultFile);
List <string> particleList = IOTools.ReadListFromTxt(particlefile);
int t = 0;
String status = " ";
while (capture.Read(image))
{
if (t >= targetList.Count)
{
break;
}
String[] ss = targetList[t].Split(' ');
for (int i = 0; i < 100; i++)
{
String[] pp = particleList[t * 100 + i].Split(' ');
Cv2.Circle(image, (int)double.Parse(pp[0]), (int)double.Parse(pp[1]), 1, new Scalar(255, 0, 0),
2
);
}
Cv2.Circle(image, (int)double.Parse(ss[0]), (int)double.Parse(ss[1]), 10, new Scalar(255, 255, 0),
2
);
// Cv2.PutText(image, status,
// new Point((int)double.Parse(ss[0]) - 5, (int)double.Parse(ss[1])), FontFace.Italic, 1, color, 3);
//if (double.Parse(ss[1]) < 420)
writer.Write(image);
t++;
}
;
writer.Release();
}
private byte[] ImageCompleted(MemoryStream ms)
{
Mat src = OpenCvSharp.Extensions.BitmapConverter.ToMat(new System.Drawing.Bitmap(ms));
Mat gray = new Mat();
CascadeClassifier haarCascade = new CascadeClassifier("./haarcascade_frontalface_default.xml");
var result = src.Clone();
Cv2.CvtColor(src, gray, ColorConversion.BgrToGray);
// 顔検出
OpenCvSharp.CPlusPlus.Rect[] faces = haarCascade.DetectMultiScale(
gray);
// 検出した顔の位置に円を描画
foreach (OpenCvSharp.CPlusPlus.Rect face in faces)
{
var center = new OpenCvSharp.CPlusPlus.Point
{
X = (int)(face.X + face.Width * 0.5),
Y = (int)(face.Y + face.Height * 0.5)
};
var axes = new OpenCvSharp.CPlusPlus.Size
{
Width = (int)(face.Width * 0.5),
Height = (int)(face.Height * 0.5)
};
Cv2.Ellipse(result, center, axes, 0, 0, 360, new Scalar(255, 0, 255), 2);
}
System.Drawing.Bitmap dstBitmap = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(result);
byte[] imageData = null;
using (MemoryStream ms2 = new MemoryStream())
{
dstBitmap.Save(ms2, System.Drawing.Imaging.ImageFormat.Jpeg);
imageData = ms2.GetBuffer();
}
return(imageData);
}
public void recordCamera()
{
isRecordingCamera = true;
int k = 0;
Thread.Sleep(100);
new Thread(() =>
{
IplImage img;
// recordFrames.TryPeek(out img);
OpenCvSharp.CPlusPlus.Size dsize = new OpenCvSharp.CPlusPlus.Size(cap.FrameWidth, cap.FrameHeight);
VideoWriter writer = new VideoWriter(Conf.filepath + "1.avi", FourCC.MJPG, fps, dsize, true);
StreamWriter sw = new StreamWriter(Conf.filepath + "t.txt");
while (true)
{
Mat gray = new Mat();
Mat canny = new Mat();
Mat dst = new Mat();
try
{
bool suc = recordFrames.TryDequeue(out img);
if (suc)
{
Mat frame = new Mat(img, true);
string time;
recordTimes.TryDequeue(out time);
// Console.WriteLine(DateTime.Now.ToString("==yyyy-MM-dd-HH-mm-ss-fffffff"));
//Cv2.CvtColor(frame, gray, ColorConversion.BgrToGray);
//Cv2.Canny(gray, canny, 100, 180);
//Cv2.Resize(canny, dst, dsize, 0, 0, Interpolation.Linear);
// Write mat to VideoWriter
writer.Write((frame));
sw.WriteLine(time);
k++;
}
else
{
Console.WriteLine("ffff");
if (isRecordingCamera == false)
{
break;
}
}
//stop = true;
Thread.Sleep(1000 / fps - 10);
}
catch (Exception e)
{
label.Content = e.ToString();
}
}
Console.WriteLine(k);
writer.Release();
sw.Close();
return;
// writer.Dispose();
// cap.Dispose();
}).Start();
}
//데이터 시핑
public void DataLoop(string dataType, bool firstNumber)
{
// 임시변수
int firstDataNumber = 0;
int dataNumber = 0;
int trueData = 0;
int AlldataNumber = AlldataNumber = Property.Truedatanumber + Property.FalseDataNumber;;
double[][] input = new double[AlldataNumber][];
string Path = "";
switch (dataType)
{
case "True":
#region
Path = Directory.GetCurrentDirectory() + @"\true\true (";
if (!firstNumber)
{
firstDataNumber = Property.TrueDataHalf;
dataNumber = Property.Truedatanumber;
trueData = 0;
}
else
{
firstDataNumber = 0;
dataNumber = Property.TrueDataHalf;
trueData = 0;
}
break;
#endregion
case "False":
#region
Path = Directory.GetCurrentDirectory() + @"\false\false (";
if (!firstNumber)
{
firstDataNumber = Property.FalseDataHalf;
dataNumber = Property.FalseDataNumber;
trueData = Property.Truedatanumber;
}
else
{
firstDataNumber = 0;
dataNumber = Property.FalseDataHalf;
trueData = Property.Truedatanumber;
}
break;
#endregion
//보류
#region
/*
* case "Test":
*
* Path = Property.testDataPath;
* AlldataNumber = Property.FalseDataNumber;
*
* if (!firstNumber)
* {
* firstDataNumber = Property.FalseDataHalf;
* dataNumber = Property.FalseDataNumber;
* }
* else
* {
* firstDataNumber = 0;
* dataNumber = Property.FalseDataHalf;
* }
* break;
*
*/
#endregion
}
for (int i = firstDataNumber; i < dataNumber; i++)
{
#region
try
{
Bitmap[] bitmaps = new Bitmap[dataNumber];
List <double> temp_1 = new List <double>();
double[] temp_2;
byte[] temp01;
Mat mat_cat;
mat_cat = Cv2.ImRead(Path + (i + 1) + ").bmp", LoadMode.Color);
OpenCvSharp.CPlusPlus.Size size = new OpenCvSharp.CPlusPlus.Size(32, 32);
mat_cat = mat_cat.Resize(size, 0, 0, Interpolation.Linear);
bitmaps[i] = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(mat_cat);
temp01 = imageToByteArray(bitmaps[i]);
temp01.ToList <byte>().ForEach(b => temp_1.Add(Convert.ToDouble(b)));
temp_2 = temp_1.ToArray <double>();
input[i + trueData] = temp_2;
// 메모리 해제
mat_cat.Dispose();
temp01 = null;
temp_2 = null;
bitmaps.Initialize();
temp_1.Clear();
if (i == dataNumber - 1)
{
Property.inputs = input;
input = null;
}
}
#endregion
#region
catch
{
switch (dataType)
{
#region
case "True":
MessageBox.Show("데이터 학습 실패 \ntrue " + (i + 1) + " 폴더에 이미지 형식 확인");
break;
case "False":
MessageBox.Show("데이터 학습 실패 \nfalse " + (i + 1) + "폴더에 이미지 형식 확인");
break;
/*
* case "Test":
* MessageBox.Show("데이터 학습 실패 \ntest " + (i + 1) + "폴더에 이미지 형식 확인");
* break;
*/
#endregion
}
}
#endregion
}
}
private void detectShapeCandidates(ref Bitmap bitmap, Boolean saveShapes)
{
Debug.WriteLine("Running OpenCV");
string myPhotos = Environment.GetFolderPath(Environment.SpecialFolder.MyPictures);
Mat colorMat = BitmapConverter.ToMat(bitmap);
MatOfDouble mu = new MatOfDouble();
MatOfDouble sigma = new MatOfDouble();
Cv2.MeanStdDev(colorMat, mu, sigma);
double mean = mu.GetArray(0, 0)[0];
mu.Dispose();
sigma.Dispose();
Mat greyMat = new Mat();
Cv2.CvtColor(colorMat, greyMat, ColorConversion.BgraToGray, 0);
greyMat = greyMat.GaussianBlur(new OpenCvSharp.CPlusPlus.Size(1, 1), 5, 5, BorderType.Default);
greyMat = greyMat.Canny(0.5 * mean, 1.2 * mean, 3, true);
Mat contourMat = new Mat(greyMat.Size(), colorMat.Type());
greyMat.CopyTo(contourMat);
var contours = contourMat.FindContoursAsArray(ContourRetrieval.List, ContourChain.ApproxSimple);
for (int j = 0; j < contours.Length; j++)
{
var poly = Cv2.ApproxPolyDP(contours[j], 0.01 * Cv2.ArcLength(contours[j], true), true);
int num = poly.Length;
if (num >= 4 && num < 20)
{
var color = Scalar.Blue;
var rect = Cv2.BoundingRect(poly);
if (rect.Height < 20 || rect.Width < 20)
{
continue;
}
if (saveShapes)
{
string path = Path.Combine(myPhotos, "shape_samples");
path = Path.Combine(path, "shape_sample_" + Path.GetRandomFileName() + ".png");
var matRect = new OpenCvSharp.CPlusPlus.Rect(0, 0, greyMat.Width, greyMat.Height);
rect.Inflate((int)(rect.Width * 0.1), (int)(rect.Height * 0.1));
rect = rect.Intersect(matRect);
Mat shapeMat = greyMat.SubMat(rect);
var size = new OpenCvSharp.CPlusPlus.Size(128, 128);
shapeMat = shapeMat.Resize(size);
Bitmap shape = shapeMat.ToBitmap();
shape.Save(path);
shape.Dispose();
shapeMat.Dispose();
continue;
}
Cv2.Rectangle(colorMat, rect, color, 2);
}
}
bitmap = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(colorMat);
colorMat.Dispose();
greyMat.Dispose();
contourMat.Dispose();
}
public KinectPanel()
{
base.TitleName = "Kinect Condition";
kinect = KinectSensor.GetDefault();
//Mat
this.bodyindexMat = new Mat();
this.depthMat = new Mat();
this.colorimageMat = new Mat();
//bodyindex関連
this.bodyIndexFrameDesc = kinect.DepthFrameSource.FrameDescription;
this.bodyIndexBuffer = new byte[bodyIndexFrameDesc.LengthInPixels];
this.bodyIndexColorImage = new WriteableBitmap(bodyIndexFrameDesc.Width, bodyIndexFrameDesc.Height,
96, 96, PixelFormats.Bgra32, null);
this.bodyIndexColorRect = new Int32Rect(0, 0, bodyIndexFrameDesc.Width, bodyIndexFrameDesc.Height);
this.bodyIndexColorStride = (int)(bodyIndexFrameDesc.Width * bodyIndexColorBytesPerPixel);
this.bodyIndexColorBuffer = new byte[bodyIndexFrameDesc.LengthInPixels * bodyIndexColorBytesPerPixel];
bodyIndexColors = new System.Windows.Media.Color[]{
Colors.Red, Colors.Blue, Colors.Green, Colors.Yellow, Colors.Pink, Colors.Purple,
};
bodyIndexFrameReader = kinect.BodyIndexFrameSource.OpenReader();
bodyIndexFrameReader.FrameArrived += bodyIndexFrameReader_FrameArrived;
//depth関連
this.depthFrameReader = this.kinect.DepthFrameSource.OpenReader();
this.depthFrameReader.FrameArrived += DepthFrame_Arrived;
this.depthFrameDescription = this.kinect.DepthFrameSource.FrameDescription;
this.depthBuffer = new ushort[this.depthFrameDescription.LengthInPixels];
this.depthImageWidth = this.depthFrameDescription.Width;
this.depthImageHeight = this.depthFrameDescription.Height;
this.depthImage = new WriteableBitmap(depthFrameDescription.Width, depthFrameDescription.Height, 96, 96, PixelFormats.Gray16, null);
this.depthRect = new Int32Rect(0, 0, depthFrameDescription.Width, depthFrameDescription.Height);
this.depthStride = (int)(depthFrameDescription.Width * depthFrameDescription.BytesPerPixel);
//colorimage
this.colorImageFormat = ColorImageFormat.Bgra;
this.colorFrameDescription = this.kinect.ColorFrameSource.CreateFrameDescription(this.colorImageFormat);
this.colorFrameReader = this.kinect.ColorFrameSource.OpenReader();
this.colorFrameReader.FrameArrived += ColorFrame_Arrived;
this.colors = new byte[this.colorFrameDescription.Width
* this.colorFrameDescription.Height
* this.colorFrameDescription.BytesPerPixel];
this.imageWidth = this.colorFrameDescription.Width;
this.imageHeight = this.colorFrameDescription.Height;
this.colorimage = new WriteableBitmap(this.colorFrameDescription.Width, this.colorFrameDescription.Height, 96, 96, PixelFormats.Bgr32, null);
this.calibImg = new WriteableBitmap(this.colorFrameDescription.Width, this.colorFrameDescription.Height, 96, 96, PixelFormats.Bgr32, null);
this.bitmapRect = new Int32Rect(0, 0, this.colorFrameDescription.Width, this.colorFrameDescription.Height);
this.bitmapStride = this.colorFrameDescription.Width * (int)this.colorFrameDescription.BytesPerPixel;
//bone
this.bodyFrameReader = this.kinect.BodyFrameSource.OpenReader();
this.bodyFrameReader.FrameArrived += BodyFrame_Arrived;
this.bodies = new Body[this.kinect.BodyFrameSource.BodyCount]; //bodycountに骨格情報の数
this.size = new OpenCvSharp.CPlusPlus.Size(512, 424);
this.size1 = new OpenCvSharp.CPlusPlus.Size(imageWidth, imageHeight);
//this.bodyindexMat = new Mat(size, MatType.CV_8UC1);
//this.depthMat = bodyindexMat.Clone();
//this.colorimageMat = new Mat(size1, MatType.CV_8UC3);
stump = 0;
}
/// <summary>
/// 指定したサイズ・型の2次元の行列として初期化
/// </summary>
/// <param name="size">2次元配列のサイズ： Size(cols, rows) ．
/// Size コンストラクタでは，行数と列数が逆順になっていることに注意してください．</param>
#else
/// <summary>
/// constructs 2D matrix of the specified size and type
/// </summary>
/// <param name="size">2D array size: Size(cols, rows) . In the Size() constructor,
/// the number of rows and the number of columns go in the reverse order.</param>
#endif
public MatOfInt4(Size size)
: base(size, ThisType)
{
}
/// <summary>
/// 指定したサイズ・型の2次元の行列で、要素をスカラー値で埋めて初期化
/// </summary>
/// <param name="size"> 2 次元配列のサイズ： Size(cols, rows) ． Size() コンストラクタでは，行数と列数が逆順になっていることに注意してください．</param>
/// <param name="s">各行列要素を初期化するオプション値．初期化の後ですべての行列要素を特定の値にセットするには，
/// コンストラクタの後で，SetTo(Scalar value) メソッドを利用してください．</param>
#else
/// <summary>
/// constucts 2D matrix and fills it with the specified Scalar value.
/// </summary>
/// <param name="size">2D array size: Size(cols, rows) . In the Size() constructor,
/// the number of rows and the number of columns go in the reverse order.</param>
/// <param name="s">An optional value to initialize each matrix element with.
/// To set all the matrix elements to the particular value after the construction, use SetTo(Scalar s) method .</param>
#endif
public MatOfInt4(Size size, int s)
: base(size, ThisType, s)
{
}
