public override void CalculateWeights(Mat image, ImageFeatureMap target)
{
DetectionTime = 0;
if (!Enabled)
{
return;
}
List <Rectangle> objects = new List <Rectangle> ();
List <Rect> normObjects = new List <Rect> ();
DetectObjects(image, objects, Params.DetectorParameters);
int W = image.Width;
int H = image.Height;
//fill features to the features map
foreach (Rectangle o in objects)
{
//expand the detected area few pixels
Rectangle r = new Rectangle();
r.X = o.X + (int)(Params.DetectorParameters.ExpansionRect.x * o.Width);
r.Y = o.Y + (int)(Params.DetectorParameters.ExpansionRect.y * o.Height);
r.Width = o.Width + (int)((Params.DetectorParameters.ExpansionRect.width) * o.Width);
r.Height = o.Height + (int)((Params.DetectorParameters.ExpansionRect.height) * o.Height);
//fill detected face rectangle with full weight
target.FillRectangle((float)r.X / (float)W, (float)r.Y / (float)H,
(float)r.Width / (float)W, (float)r.Height / (float)H, 1);
normObjects.Add(new Rect(r.Left / (float)W, r.Top / (float)H, r.Width / (float)W, r.Height / (float)H));
}
lock (_objectsLock) {
_detectedObjects = normObjects;
}
}
public override void CalculateWeights(GstImageInfo image, ImageFeatureMap target)
{
DetectionTime = 0;
if (!Enabled)
{
return;
}
List <Rect> normObjects = new List <Rect> ();
_detector.BindImage(image);
if (!_featuresDetected)
{
return;
}
_featuresDetected = false;
int W = image.Width;
int H = image.Height;
//fill features to the features map
foreach (Rect o in _faces)
{
//expand the detected area few pixels
Rect r = new Rect();
r.x = o.x + (int)(Params.FaceConfig.ExpansionRect.x * o.width);
r.y = o.y + (int)(Params.FaceConfig.ExpansionRect.y * o.height);
r.width = o.width + (int)((Params.FaceConfig.ExpansionRect.width) * o.width);
r.height = o.height + (int)((Params.FaceConfig.ExpansionRect.height) * o.height);
//fill detected face rectangle with full weight
target.FillRectangle((float)r.x / (float)W, (float)r.y / (float)H,
(float)r.width / (float)W, (float)r.height / (float)H, 1);
normObjects.Add(new Rect(r.left / (float)W, r.top / (float)H, r.width / (float)W, r.height / (float)H));
}
_detectedObjects = normObjects;
}
void Start()
{
Gaze = GameObject.FindObjectOfType <GazeFollowComponent> ();
_processor = new OffscreenProcessor();
_processor.ShaderName = "GazeBased/Blend";
Image <Gray, byte> cache = null;
EmguImageUtil.UnityTextureToOpenCVImageGray(TargetTexture, ref cache); //new Mat(pictureStr, LoadImageType.Color); //Read the files as an 8-bit Bgr image
long detectionTime;
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <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 = true;
bool tryUseOpenCL = false;
DetectObjectCL.DetectFace(
cache.Mat, false,
faces, eyes,
tryUseCuda,
tryUseOpenCL,
out detectionTime);
foreach (Rectangle face in faces)
{
CvInvoke.Rectangle(cache.Mat, face, new Bgr(0, 0, 1).MCvScalar, 2);
}
foreach (Rectangle eye in eyes)
{
CvInvoke.Rectangle(cache.Mat, eye, new Bgr(1, 0, 0).MCvScalar, 2);
}
Debug.Log("detected faces:" + faces.Count);
Debug.Log("face detection time:" + detectionTime.ToString() + "ms");
//display the image
/* ImageViewer.Show(image, String.Format(
* "Completed face and eye detection using {0} in {1} milliseconds",
* (tryUseCuda && CudaInvoke.HasCuda) ? "GPU"
* : (tryUseOpenCL && CvInvoke.HaveOpenCLCompatibleGpuDevice) ? "OpenCL"
* : "CPU",
* detectionTime));
*/
_map = new ImageFeatureMap(128, 128);
foreach (Rectangle face in faces)
{
Rectangle r = new Rectangle();
r.X = face.X - 50;
r.Y = face.Y - 5;
r.Width = face.Width + 50;
r.Height = face.Height + 520;
_map.FillRectangle((float)r.X / (float)cache.Mat.Width, (float)r.Y / (float)cache.Mat.Height,
(float)r.Width / (float)cache.Mat.Width, (float)r.Height / (float)cache.Mat.Height, 1);
}
_map.Blur();
_map.Blur();
_map.Blur();
_map.Blur();
Texture2D tex = new Texture2D(1, 1);
tex.filterMode = FilterMode.Point;
_map.ConvertToTexture(tex, true);
_processor.ProcessingMaterial.SetTexture("_TargetMask", tex);
_processor.ProcessingMaterial.SetTexture("_MainTex", TargetTexture);
GetComponent <UITexture> ().mainTexture = tex; //_processor.ProcessTexture (TargetTexture);
}
public override void CalculateWeights(Mat image, ImageFeatureMap target)
{
DetectionTime = 0;
if (!Enabled)
{
return;
}
byte[] status;
float[] errTracker;
PointF[] features;
float W = image.Width;
float H = image.Height;
if (_isFirstFrame ||
_prevImage.Width != image.Width ||
_prevImage.Height != image.Height)
{
_prevImage = image.Clone();
_isFirstFrame = false;
return;
}
DateTime t = DateTime.Now;
if (_currPoints == null || _currPoints.Length < 50 ||
(t - _time).TotalSeconds > Params.OFParameters.FeaturesUpdateTime)
{
_time = t;
UnityEngine.Debug.Log("Recalculating feature points");
GFTTDetector _GFTTdetector = new GFTTDetector(Params.OFParameters.MaxFeaturesCount);
MKeyPoint[] featPoints = _GFTTdetector.Detect(image, null);
_prevPoints = new PointF[featPoints.Length];
int i = 0;
foreach (var k in featPoints)
{
_prevPoints [i] = k.Point;
++i;
}
_currPoints = _prevPoints;
}
Stopwatch watch;
watch = Stopwatch.StartNew();
try{
_criteria.Type = Params.OFParameters.CriteriaType;
_criteria.MaxIter = Params.OFParameters.Iterations;
_criteria.Epsilon = Params.OFParameters.Epsilon;
CvInvoke.CalcOpticalFlowPyrLK(_prevImage, image, _prevPoints, new Size((int)Params.OFParameters.SearchWindow.x, (int)Params.OFParameters.SearchWindow.y),
Params.OFParameters.Level, _criteria, out features, out status, out errTracker);
//calculate homography matrix
CvInvoke.FindHomography(_prevPoints, features, _homography, Emgu.CV.CvEnum.HomographyMethod.Default);
}catch (Exception e) {
UnityEngine.Debug.Log(e.Message);
return;
}
watch.Stop();
DetectionTime = watch.ElapsedMilliseconds;
//calculate homography transformation, and remove it from points
Matrix4x4 m = new Matrix4x4();
m.SetRow(0, new Vector4((float)_homography[0, 0], (float)_homography[0, 1], 0, (float)_homography[0, 2]));
m.SetRow(1, new Vector4((float)_homography[1, 0], (float)_homography[1, 1], 0, (float)_homography[1, 2]));
m.SetRow(2, new Vector4(0, 0, 1, 0));
m.SetRow(3, new Vector4((float)_homography[2, 0], (float)_homography[2, 1], 0, (float)_homography[2, 2]));
Matrix4x4 homographyInverse = Matrix4x4.Inverse(m); //get the inverse
//next, fill weight map
Vector2 direction = new Vector2((float)_homography [0, 2], (float)_homography [1, 2]);
direction.Normalize();
_opticalFlow.Clear();
int count = 0;
for (int i = 0; i < features.Length; ++i)
{
Vector3 dp = m * new Vector3(features [i].X, features [i].Y, 0);
float dist = (dp.x - _prevPoints [i].X) * (dp.x - _prevPoints [i].X) +
(dp.y - _prevPoints [i].Y) * (dp.y - _prevPoints [i].Y);
if (dist > Params.OFParameters.MinDistance * Params.OFParameters.MinDistance &&
dist < Params.OFParameters.MaxDistance * Params.OFParameters.MaxDistance)
{
//check if the calculated point belongs to the object motion or to camera motion
//Vector3 d = new Vector3 (features [i].X - dp.x, features [i].Y - dp.y,0);
/* float len= Mathf.Sqrt(dist);//dp.magnitude;
* if (len < Params.OFParameters.FeatureSimilarityThreshold) {
* continue;//skip this point, correlated with camera motion
* }*/
/*
* Vector3 d = new Vector3 (features [i].X - _currPoints [i].X, features [i].Y - _currPoints [i].Y,0);
* d.Normalize ();
* float dp = Vector2.Dot (d, direction);
* if (dp > Params.OFParameters.FeatureSimilarityThreshold) {
* continue;//skip this point, correlated with camera motion
* }*/
// add this point
++count;
float x = features [i].X / (float)W;
float y = (features [i].Y / (float)H);
if (x > 1 || x < 0 || y > 1 || y < 0)
{
continue;
}
float w = 20 / W; // Mathf.Abs(_currPoints [i].X - features [i].X)/W;
float h = 20 / H; //Mathf.Abs(_currPoints [i].Y - features [i].Y)/H;
Rect r = new Rect(x - w / 2.0f, y - h / 2.0f /*1-y-h*/, w, h);
//target.SetWeight (x,1-y,1.0f);
target.FillRectangle(r.x, r.y, r.width, r.height, 1);
TrackedFeature f = new TrackedFeature();
f.v1 = new Vector2(_currPoints[i].X / W, _currPoints[i].Y / H);
f.v2 = new Vector2(features [i].X / W, features [i].Y / H);
_opticalFlow.Add(f);
}
}
if (count > features.Length / 10)
{
_featuresDetected = true;
}
else
{
_featuresDetected = false;
}
if (features != null)
{
lock (_objectsLock) {
_prevPoints = _currPoints;
_currPoints = features;
}
}
_prevImage = image.Clone();
}