// Use this for initialization
void Start()
{
// Un-mirror the webcam image
//if (FlipLeftRightAxis)
//{
// transform.localScale = new Vector3(-transform.localScale.x,
// transform.localScale.y, transform.localScale.z);
//}
//if (FlipUpDownAxis)
//{
// transform.localScale = new Vector3(transform.localScale.x,
// -transform.localScale.y, transform.localScale.z);
//}
show = new Mat(480, 640, OpenCvSharp.CPlusPlus.MatType.CV_8UC4);
// Load the cascades
//haarCascade = CvHaarClassifierCascade.FromFile(Application.dataPath + "/Data/haarcascade_frontalface_default.xml");
//cascade = new CascadeClassifier(Application.dataPath + "/opencvkinect/Data/haarcascade_frontalface_alt.xml");
imHeight = KinectWrapper.GetDepthHeight();
imWidth = KinectWrapper.GetDepthWidth();
//result = new Texture2D(480, 640, TextureFormat.RGBA32, false);
bg = new Mat(roiH, roiW, MatType.CV_8UC1);
fg = new Mat(roiH, roiW, MatType.CV_8UC1);
fgthresh = new Mat(roiH, roiW, MatType.CV_8UC1);
//showImg = new IplImage();
//fgthreshImg = new IplImage();
tracks = new List<Trak>();
blobs = new OpenCvSharp.Blob.CvBlobs();
foodAdd = new List<Vector2>();
boulderAdd = new List<Vector2>();
rippleAdd = new List<Vector2>();
foodPosA = Spawner.Instance.GetFoodAreaCoordinate(0);
foodPosB = Spawner.Instance.GetFoodAreaCoordinate(1);
//detectorThread = new Thread(new ThreadStart(DoTracking));
//running = true;
//detectorThread.Start();
prepareHandDetector();
}
/// <summary>
/// Draws or prints information about blobs. (cvRenderBlobs)
/// </summary>
/// <param name="blobs">List of blobs.</param>
/// <param name="imgSource">Input image (depth=IPL_DEPTH_8U and num. channels=3).</param>
/// <param name="imgDest">Output image (depth=IPL_DEPTH_8U and num. channels=3).</param>
/// <param name="mode">Render mode. By default is CV_BLOB_RENDER_COLOR|CV_BLOB_RENDER_CENTROID|CV_BLOB_RENDER_BOUNDING_BOX|CV_BLOB_RENDER_ANGLE.</param>
public static void RenderBlobs(CvBlobs blobs, IplImage imgSource, IplImage imgDest, RenderBlobsMode mode)
{
RenderBlobs(blobs, imgSource, imgDest, mode, 1.0);
}
/// <summary>
///
/// </summary>
/// <param name="img"></param>
/// <param name="blobs"></param>
/// <returns></returns>
public static int Perform(Mat img, CvBlobs blobs)
{
if (img == null)
{
throw new ArgumentNullException("img");
}
if (blobs == null)
{
throw new ArgumentNullException("blobs");
}
if (img.Type() != MatType.CV_8UC1)
{
throw new ArgumentException("'img' must be a 1-channel U8 image.");
}
LabelData labels = blobs.Labels;
if (labels == null)
{
throw new ArgumentException("");
}
//if(labels.GetLength(0) != h || labels.GetLength(1) != w)
if (labels.Rows != img.Height || labels.Cols != img.Width)
{
throw new ArgumentException("img.Size != labels' size");
}
int numPixels = 0;
blobs.Clear();
int w = img.Cols;
int h = img.Rows;
int step = (int)img.Step();
byte[] imgIn;
unsafe
{
byte *imgInPtr = (byte *)img.Data;
if ((long)h * step > Int32.MaxValue)
{
throw new ArgumentException("Too big image (image data > 2^31)");
}
int length = h * step;
imgIn = new byte[length];
Marshal.Copy(new IntPtr(imgInPtr), imgIn, 0, imgIn.Length);
}
int label = 0;
int lastLabel = 0;
CvBlob lastBlob = null;
for (int y = 0; y < h; y++)
{
for (int x = 0; x < w; x++)
{
if (imgIn[x + y * step] == 0)
{
continue;
}
bool labeled = labels[y, x] != 0;
if (!labeled && ((y == 0) || (imgIn[x + (y - 1) * step] == 0)))
{
labeled = true;
// Label contour.
label++;
if (label == MarkerValue)
{
throw new Exception();
}
labels[y, x] = label;
numPixels++;
// XXX This is not necessary at all. I only do this for consistency.
if (y > 0)
{
labels[y - 1, x] = MarkerValue;
}
CvBlob blob = new CvBlob(label, x, y);
blobs.Add(label, blob);
lastLabel = label;
lastBlob = blob;
blob.Contour.StartingPoint = new Point(x, y);
int direction = 1;
int xx = x;
int yy = y;
bool contourEnd = false;
do
{
for (int numAttempts = 0; numAttempts < 3; numAttempts++)
{
bool found = false;
for (int i = 0; i < 3; i++)
{
int nx = xx + MovesE[direction, i, 0];
int ny = yy + MovesE[direction, i, 1];
if ((nx < w) && (nx >= 0) && (ny < h) && (ny >= 0))
{
if (imgIn[nx + ny * step] != 0)
{
found = true;
blob.Contour.ChainCode.Add((CvChainCode)MovesE[direction, i, 3]);
xx = nx;
yy = ny;
direction = MovesE[direction, i, 2];
break;
}
labels[ny, nx] = MarkerValue;
}
}
if (!found)
{
direction = (direction + 1) % 4;
}
else
{
if (labels[yy, xx] != label)
{
labels[yy, xx] = label;
numPixels++;
if (xx < blob.MinX)
{
blob.MinX = xx;
}
else if (xx > blob.MaxX)
{
blob.MaxX = xx;
}
if (yy < blob.MinY)
{
blob.MinY = yy;
}
else if (yy > blob.MaxY)
{
blob.MaxY = yy;
}
blob.Area++;
blob.M10 += xx;
blob.M01 += yy;
blob.M11 += xx * yy;
blob.M20 += xx * xx;
blob.M02 += yy * yy;
}
break;
}
contourEnd = ((xx == x) && (yy == y) && (direction == 1));
if (contourEnd)
{
break;
}
}
} while (!contourEnd);
}
if ((y + 1 < h) && (imgIn[x + (y + 1) * step] == 0) && (labels[y + 1, x] == 0))
{
labeled = true;
// Label internal contour
int l;
CvBlob blob;
if (labels[y, x] == 0)
{
l = labels[y, x - 1];
labels[y, x] = l;
numPixels++;
if (l == lastLabel)
{
blob = lastBlob;
}
else
{
blob = blobs[l];
lastLabel = l;
lastBlob = blob;
}
if (blob == null)
{
throw new Exception();
}
blob.Area++;
blob.M10 += x;
blob.M01 += y;
blob.M11 += x * y;
blob.M20 += x * x;
blob.M02 += y * y;
}
else
{
l = labels[y, x];
if (l == lastLabel)
{
blob = lastBlob;
}
else
{
blob = blobs[l];
lastLabel = l;
lastBlob = blob;
}
}
if (blob == null)
{
throw new Exception();
}
// XXX This is not necessary (I believe). I only do this for consistency.
labels[y + 1, x] = MarkerValue;
var contour = new CvContourChainCode
{
StartingPoint = new Point(x, y)
};
int direction = 3;
int xx = x;
int yy = y;
do
{
for (int numAttempts = 0; numAttempts < 3; numAttempts++)
{
bool found = false;
for (int i = 0; i < 3; i++)
{
int nx = xx + MovesI[direction, i, 0];
int ny = yy + MovesI[direction, i, 1];
if (imgIn[nx + ny * step] != 0)
{
found = true;
contour.ChainCode.Add((CvChainCode)MovesI[direction, i, 3]);
xx = nx;
yy = ny;
direction = MovesI[direction, i, 2];
break;
}
labels[ny, nx] = MarkerValue;
}
if (!found)
{
direction = (direction + 1) % 4;
}
else
{
if (labels[yy, xx] == 0)
{
labels[yy, xx] = l;
numPixels++;
blob.Area++;
blob.M10 += xx;
blob.M01 += yy;
blob.M11 += xx * yy;
blob.M20 += xx * xx;
blob.M02 += yy * yy;
}
break;
}
}
} while (!(xx == x && yy == y));
blob.InternalContours.Add(contour);
}
//else if (!imageOut(x, y))
if (!labeled)
{
// Internal pixel
int l = labels[y, x - 1];
labels[y, x] = l;
numPixels++;
CvBlob blob;
if (l == lastLabel)
{
blob = lastBlob;
}
else
{
blob = blobs[l];
lastLabel = l;
lastBlob = blob;
}
if (blob == null)
{
throw new Exception();
}
blob.Area++;
blob.M10 += x;
blob.M01 += y;
blob.M11 += x * y;
blob.M20 += x * x;
blob.M02 += y * y;
}
}
}
foreach (var kv in blobs)
{
kv.Value.SetMoments();
}
GC.KeepAlive(img);
return(numPixels);
}
/// <summary>
/// Draws or prints information about blobs. (cvRenderBlobs)
/// </summary>
/// <param name="blobs">List of blobs.</param>
/// <param name="imgSource">Input image (depth=IPL_DEPTH_8U and num. channels=3).</param>
/// <param name="imgDest">Output image (depth=IPL_DEPTH_8U and num. channels=3).</param>
public static void RenderBlobs(CvBlobs blobs, IplImage imgSource, IplImage imgDest)
{
RenderBlobs(blobs, imgSource, imgDest, (RenderBlobsMode)0x000f, 1.0);
}
/// <summary>
/// Draws or prints information about blobs. (cvRenderBlobs)
/// </summary>
/// <param name="blobs">List of blobs.</param>
/// <param name="imgSource">Input image (depth=IPL_DEPTH_8U and num. channels=3).</param>
/// <param name="imgDest">Output image (depth=IPL_DEPTH_8U and num. channels=3).</param>
public static void RenderBlobs(CvBlobs blobs, Mat imgSource, Mat imgDest)
{
RenderBlobs(blobs, imgSource, imgDest, (RenderBlobsModes)0x000f, 1.0);
}
