// Use this for initialization
void Start()
{
Texture2D boxTexture = Resources.Load <Texture2D>("box");
Texture2D boxInSceneTexture = Resources.Load <Texture2D>("box_in_scene");
Mat box3Channels = new Mat();
TextureConvert.Texture2dToOutputArray(boxTexture, box3Channels);
Mat box = new Mat();
CvInvoke.CvtColor(box3Channels, box, ColorConversion.Bgra2Gray);
CvInvoke.Flip(box, box, FlipType.Vertical);
Mat boxInScene3Channels = new Mat();
TextureConvert.Texture2dToOutputArray(boxInSceneTexture, boxInScene3Channels);
Mat boxInScene = new Mat();
CvInvoke.CvtColor(boxInScene3Channels, boxInScene, ColorConversion.Bgra2Gray);
CvInvoke.Flip(boxInScene, boxInScene, FlipType.Vertical);
long time;
Mat img = FeatureMatchingExample.DrawMatches.Draw(box, boxInScene, out time);
//CvInvoke.Imwrite("c:\\tmp\\tmp.png", img);
//Mat outImg = new Mat();
//CvInvoke.CvtColor(img, outImg, ColorConversion.Bgr2Bgra);
//CvInvoke.Imwrite("c:\\tmp\\tmp.png", outImg);
Texture2D texture = TextureConvert.InputArrayToTexture2D(img);
this.GetComponent <GUITexture>().texture = texture;
this.GetComponent <GUITexture>().pixelInset = new Rect(-texture.width / 2, -texture.height / 2, texture.width, texture.height);
}
// Use this for initialization
void Start()
{
String[] textureNames = new string[] { "stitch1", "stitch2", "stitch3", "stitch4" };
Mat[] imgs = new Mat[textureNames.Length];
Mat tmp = new Mat();
for (int i = 0; i < textureNames.Length; i++)
{
Texture2D tex = Resources.Load <Texture2D>(textureNames[i]);
imgs[i] = new Mat();
TextureConvert.Texture2dToOutputArray(tex, tmp);
CvInvoke.Flip(tmp, tmp, FlipType.Vertical);
CvInvoke.CvtColor(tmp, imgs[i], ColorConversion.Bgra2Bgr);
if (imgs[i].IsEmpty)
{
Debug.Log("Image " + i + " is empty");
}
else
{
Debug.Log("Image " + i + " is " + imgs[i].NumberOfChannels + " channels " + imgs[i].Width + "x" + imgs[i].Height);
}
}
Emgu.CV.Stitching.Stitcher stitcher = new Emgu.CV.Stitching.Stitcher();
Mat result = new Mat();
using (VectorOfMat vms = new VectorOfMat(imgs))
stitcher.Stitch(vms, result);
//CvInvoke.Flip(result, result, FlipType.Vertical);
Texture2D texture = TextureConvert.InputArrayToTexture2D(result, FlipType.Vertical);
RenderTexture(texture);
ResizeTexture(texture);
}
// Use this for initialization
void Start()
{
Texture2D boxTexture = Resources.Load <Texture2D>("box");
Texture2D boxInSceneTexture = Resources.Load <Texture2D>("box_in_scene");
Mat box3Channels = new Mat();
TextureConvert.Texture2dToOutputArray(boxTexture, box3Channels);
Mat box = new Mat();
CvInvoke.CvtColor(box3Channels, box, ColorConversion.Bgra2Gray);
CvInvoke.Flip(box, box, FlipType.Vertical);
Mat boxInScene3Channels = new Mat();
TextureConvert.Texture2dToOutputArray(boxInSceneTexture, boxInScene3Channels);
Mat boxInScene = new Mat();
CvInvoke.CvtColor(boxInScene3Channels, boxInScene, ColorConversion.Bgra2Gray);
CvInvoke.Flip(boxInScene, boxInScene, FlipType.Vertical);
long time;
Mat img = FeatureMatchingExample.DrawMatches.Draw(box, boxInScene, out time);
//CvInvoke.Imwrite("c:\\tmp\\tmp.png", img);
//Mat outImg = new Mat();
//CvInvoke.CvtColor(img, outImg, ColorConversion.Bgr2Bgra);
//CvInvoke.Imwrite("c:\\tmp\\tmp.png", outImg);
Texture2D texture = TextureConvert.InputArrayToTexture2D(img);
RenderTexture(texture);
ResizeTexture(texture);
}
// Update is called once per frame
void Update()
{
// Update texture with webcam image.
copyTexture = new Texture2D(webcamTexture.width, webcamTexture.height);
copyTexture.SetPixels32(webcamTexture.GetPixels32());
copyTexture.Apply();
// Convert to Image to be used in image manipulation.
TextureConvert.Texture2dToOutputArray(copyTexture, img);
// This will appear upside down, so flip it.
CvInvoke.Flip(img, img, FlipType.Vertical);
// Use statement - improves performance.
using (UMat gray = new UMat())
{
// Convert image to gray scale.
CvInvoke.CvtColor(img, gray, ColorConversion.Bgr2Gray);
// Equalise the lighting.
CvInvoke.EqualizeHist(gray, gray);
//CvInvoke.CvtColor(img, img, ColorConversion.Bgr2Gray);
// Rectanlges which highlight where the face is in the image.
Rectangle[] faces = null;
// Detect faces in image.
faces = faceCascade.DetectMultiScale(gray);
foreach (Rectangle face in faces)
{
using (UMat faceGray = new UMat(img, face))
{
// Draw a green rectangle around the found area.
CvInvoke.Rectangle(img, face, new MCvScalar(0, 255, 0));
// Convert ROI to gray-scale.
CvInvoke.CvtColor(faceGray, faceGray, ColorConversion.Bgr2Gray);
// Convert image to canny to detect edges.
CvInvoke.Canny(faceGray, faceGray, 30, 128, 3, false);
// Hierarchy order of contours.
//hierarchy = CvInvoke.FindContourTree(faceGray, contours, ChainApproxMethod.ChainApproxSimple);
// Find the contours in the ROI area.
CvInvoke.FindContours(faceGray, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple, face.Location);
for (int i = 0; i < contours.Size; ++i)
{
CvInvoke.DrawContours(img, contours, i, new MCvScalar(255, 255, 255));
}
}
}
}
// Update the result texture.
//Texture2D texture
resultTexture = TextureConvert.InputArrayToTexture2D(img, FlipType.Vertical);
GetComponent <GUITexture>().texture = resultTexture;
Size s = img.Size;
GetComponent <GUITexture>().pixelInset = new Rect(s.Width / 2, -s.Height / 2, s.Width, s.Height);
}
// Use this for initialization
void Start()
{
Texture2D lenaTexture = Resources.Load <Texture2D>("lena");
UMat img = new UMat();
TextureConvert.Texture2dToOutputArray(lenaTexture, img);
CvInvoke.Flip(img, img, FlipType.Vertical);
//String fileName = "haarcascade_frontalface_default";
//String fileName = "lbpcascade_frontalface";
String fileName = "haarcascade_frontalface_alt2";
String filePath = Path.Combine(Application.persistentDataPath, fileName + ".xml");
//if (!File.Exists(filePath))
{
TextAsset cascadeModel = Resources.Load <TextAsset>(fileName);
#if UNITY_METRO
UnityEngine.Windows.File.WriteAllBytes(filePath, cascadeModel.bytes);
#else
File.WriteAllBytes(filePath, cascadeModel.bytes);
#endif
}
using (CascadeClassifier classifier = new CascadeClassifier(filePath))
using (UMat gray = new UMat())
{
CvInvoke.CvtColor(img, gray, ColorConversion.Bgr2Gray);
Rectangle[] faces = null;
try
{
faces = classifier.DetectMultiScale(gray);
foreach (Rectangle face in faces)
{
CvInvoke.Rectangle(img, face, new MCvScalar(0, 255, 0));
}
}
catch (Exception e)
{
Debug.Log(e.Message);
return;
}
}
Texture2D texture = TextureConvert.InputArrayToTexture2D(img, FlipType.Vertical);
this.GetComponent <GUITexture>().texture = texture;
Size s = img.Size;
this.GetComponent <GUITexture>().pixelInset = new Rect(-s.Width / 2, -s.Height / 2, s.Width, s.Height);
}
void Track()
{
if (lastPositions != null)
{
lastPositions = landmarks;
}
// We fetch webcam texture data
convertedTexture.SetPixels(webcamTexture.GetPixels());
convertedTexture.Apply();
// We convert the webcam texture2D into the OpenCV image format
UMat img = new UMat();
TextureConvert.Texture2dToOutputArray(convertedTexture, img);
CvInvoke.Flip(img, img, FlipType.Vertical);
using (CascadeClassifier classifier = new CascadeClassifier(filePath)) {
using (UMat gray = new UMat()) {
// We convert the OpenCV image format to the facial detection API parsable monochrome image type and detect the faces
CvInvoke.CvtColor(img, gray, ColorConversion.Bgr2Gray);
facesVV = new VectorOfRect(classifier.DetectMultiScale(gray));
landmarks = new VectorOfVectorOfPointF();
// we fit facial landmarks onto the face data
if (facemark.Fit(gray, facesVV, landmarks))
{
FaceInvoke.DrawFacemarks(img, landmarks[0], new MCvScalar(255, 255, 0, 255));
// We calculate the nose position to use as a capture center
noseOffset = new Vector3(landmarks[0][67].X, landmarks[0][67].Y * -1f, 0f);
// We draw markers and computer positions
for (int j = 0; j < 68; j++)
{
Vector3 markerPos = new Vector3(landmarks[0][j].X, landmarks[0][j].Y * -1f, 0f);
if (displayOffsetMarkers)
{
Debug.DrawLine(markerPos, markerPos + (Vector3.forward * 3f), UnityEngine.Color.green, trackingInterval);
}
AdjustCalibration(j, markerPos);
}
recording = true;
}
else
{
recording = false;
}
if (displayCalibrationMarkers)
{
DisplayCalibration();
}
}
}
// We render out the calculation result into the debug image
if (debugImage)
{
Texture2D texture = TextureConvert.InputArrayToTexture2D(img, FlipType.Vertical);
debugImage.sprite = Sprite.Create(texture, new Rect(0, 0, texture.width, texture.height), new Vector2(0.5f, 0.5f));
}
}
// Use this for initialization
void Start()
{
Texture2D lenaTexture = Resources.Load <Texture2D>("lena");
//updateTextureWithString("load lena ok");
Mat img = new Mat();
TextureConvert.Texture2dToOutputArray(lenaTexture, img);
CvInvoke.Flip(img, img, FlipType.Vertical);
//updateTextureWithString("convert to image ok");
//String fileName = "haarcascade_frontalface_default";
//String fileName = "lbpcascade_frontalface";
String fileName = "haarcascade_frontalface_alt2";
String filePath = Path.Combine(Application.persistentDataPath, fileName + ".xml");
//if (!File.Exists(filePath))
{
//updateTextureWithString("start move cascade xml");
TextAsset cascadeModel = Resources.Load <TextAsset>(fileName);
#if UNITY_METRO
UnityEngine.Windows.File.WriteAllBytes(filePath, cascadeModel.bytes);
#else
File.WriteAllBytes(filePath, cascadeModel.bytes);
#endif
//updateTextureWithString("File size: " + new FileInfo(filePath).Length);
}
using (CascadeClassifier classifier = new CascadeClassifier(filePath))
using (Mat gray = new Mat())
{
CvInvoke.CvtColor(img, gray, ColorConversion.Bgr2Gray);
//updateTextureWithString("classifier create ok");
Rectangle[] faces = null;
try
{
faces = classifier.DetectMultiScale(gray);
//updateTextureWithString("face detected");
foreach (Rectangle face in faces)
{
CvInvoke.Rectangle(img, face, new MCvScalar(0, 255, 0));
}
}
catch (Exception e)
{
//updateTextureWithString(e.Message);
return;
}
//updateTextureWithString(String.Format("{0} face found on image of {1} x {2}", faces.Length, img.Width, img.Height));
}
Texture2D texture = TextureConvert.InputArrayToTexture2D(img, FlipType.Vertical);
this.GetComponent <GUITexture>().texture = texture;
this.GetComponent <GUITexture>().pixelInset = new Rect(-img.Width / 2, -img.Height / 2, img.Width, img.Height);
}
