// 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);
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()
{
Mat img = new Mat(new Size(640, 240), DepthType.Cv8U, 3);
String openclStr = "None";
if (CvInvoke.HaveOpenCL)
{
//StringBuilder builder = new StringBuilder();
using (VectorOfOclPlatformInfo oclPlatformInfos = OclInvoke.GetPlatformInfo())
{
if (oclPlatformInfos.Size > 0)
{
OclPlatformInfo platformInfo = oclPlatformInfos[0];
openclStr = platformInfo.ToString();
}
}
}
CvInvoke.PutText(img, String.Format("Emgu CV for Unity {0}", Emgu.Util.Platform.OperationSystem), new System.Drawing.Point(10, 60), Emgu.CV.CvEnum.FontFace.HersheyDuplex,
1.0, new MCvScalar(0, 255, 0));
CvInvoke.PutText(img, String.Format("OpenCL: {0}", openclStr), new System.Drawing.Point(10, 120), Emgu.CV.CvEnum.FontFace.HersheyDuplex,
1.0, new MCvScalar(0, 0, 255));
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);
}
private IEnumerator performOCR()
{
_ocr = new Tesseract(Path.Combine(Application.persistentDataPath, "tessdata"), "eng", OcrEngineMode.TesseractOnly);
Debug.Log("OCR engine loaded.");
Image <Bgr, Byte> img = new Image <Bgr, byte>(480, 200);
String message = "Hello, World";
CvInvoke.PutText(img, message, new Point(50, 100), Emgu.CV.CvEnum.FontFace.HersheySimplex, 1.0, new MCvScalar(255, 255, 255));
_ocr.SetImage(img);
_ocr.Recognize();
Tesseract.Character[] characters = _ocr.GetCharacters();
foreach (Tesseract.Character c in characters)
{
CvInvoke.Rectangle(img, c.Region, new MCvScalar(255, 0, 0));
}
String messageOcr = _ocr.GetUTF8Text().TrimEnd('\n', '\r'); // remove end of line from ocr-ed text
Debug.Log("Detected text: " + message);
Texture2D texture = TextureConvert.InputArrayToTexture2D(img, FlipType.Vertical);
RenderTexture(texture);
ResizeTexture(texture);
yield return(null);
}
// Update is called once per frame
void Update()
{
webcamTexture.Read(img);
CvInvoke.CvtColor(img, img, ColorConversion.Bgr2Rgb);
// 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);
// Rectanlges which highlight where the face is in the image.
Rectangle[] faces = null;
// Detect faces in image.
faces = faceCascade.DetectMultiScale(gray, 1.15, 5);
if (faces.Length > 0)
{
Rectangle face = faces[0];
int numberOfIterations = 15;
Image <Bgr, byte> src = img.ToImage <Bgr, byte>();
Image <Gray, byte> mask = src.GrabCut(face, numberOfIterations);
mask = mask.ThresholdBinary(new Gray(2), new Gray(255));
UMat newImg = src.Copy(mask).ToUMat();
// Update the result texture.
resultTexture = TextureConvert.InputArrayToTexture2D(newImg, 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()
{
Mat img = new Mat(new Size(640, 240), DepthType.Cv8U, 3);
img.SetTo(new MCvScalar());
String openclStr = "None";
if (CvInvoke.HaveOpenCL)
{
//StringBuilder builder = new StringBuilder();
using (VectorOfOclPlatformInfo oclPlatformInfos = OclInvoke.GetPlatformsInfo())
{
if (oclPlatformInfos.Size > 0)
{
PlatformInfo platformInfo = oclPlatformInfos[0];
openclStr = platformInfo.ToString();
}
}
}
CvInvoke.PutText(img, String.Format("Emgu CV for Unity {0}", Emgu.Util.Platform.OperationSystem), new System.Drawing.Point(10, 60), Emgu.CV.CvEnum.FontFace.HersheyDuplex,
1.0, new MCvScalar(0, 255, 0));
CvInvoke.PutText(img, String.Format("OpenCL: {0}", openclStr), new System.Drawing.Point(10, 120), Emgu.CV.CvEnum.FontFace.HersheyDuplex,
1.0, new MCvScalar(0, 0, 255));
Texture2D texture = TextureConvert.InputArrayToTexture2D(img, 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()
{
webcamTexture.Read(img);
CvInvoke.CvtColor(img, img, ColorConversion.Bgr2Rgb);
// 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, 1.15, 5);
foreach (Rectangle face in faces)
{
using (Mat faceGray = new Mat(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);
// Improves detection of edges.
CvInvoke.Blur(faceGray, faceGray, new Size(3, 3), new Point(0, 0));
// Convert image to canny to detect edges.
//CvInvoke.Canny(faceGray, faceGray, 30, 128, 3, false);
//CvInvoke.Sobel(faceGray, faceGray, DepthType.Default, 1, 0, 3);
CvInvoke.Threshold(faceGray, faceGray, 100, 255, ThresholdType.BinaryInv);
// 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.
resultTexture = TextureConvert.InputArrayToTexture2D(img, FlipType.Vertical);
//RunShader();
// MatToTexture();
GetComponent <GUITexture>().texture = resultTexture;
Size s = img.Size;
GetComponent <GUITexture>().pixelInset = new Rect(s.Width / 2, -s.Height / 2, s.Width, s.Height);
}
// 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);
}
// Use this for initialization
void Start()
{
String[] names = new string[] { "eng.cube.bigrams", "eng.cube.fold", "eng.cube.lm", "eng.cube.nn", "eng.cube.params", "eng.cube.size", "eng.cube.word-freq", "eng.tesseract_cube.nn", "eng.traineddata" };
String outputPath = Path.Combine(Application.persistentDataPath, "tessdata");
if (!Directory.Exists(outputPath))
{
Directory.CreateDirectory(outputPath);
}
foreach (String n in names)
{
TextAsset textAsset = Resources.Load <TextAsset>(Path.Combine("tessdata", n));
String filePath = Path.Combine(outputPath, n);
#if UNITY_METRO
UnityEngine.Windows.File.WriteAllBytes(filePath, textAsset.bytes);
#else
if (!File.Exists(filePath))
{
File.WriteAllBytes(filePath, textAsset.bytes);
}
#endif
}
_ocr = new Tesseract(outputPath, "eng", OcrEngineMode.TesseractLstmCombined);
Debug.Log("OCR engine loaded.");
Image <Bgr, Byte> img = new Image <Bgr, byte>(480, 200);
String message = "Hello, World";
CvInvoke.PutText(img, message, new Point(50, 100), Emgu.CV.CvEnum.FontFace.HersheySimplex, 1.0, new MCvScalar(255, 255, 255));
_ocr.Recognize(img);
Tesseract.Character[] characters = _ocr.GetCharacters();
foreach (Tesseract.Character c in characters)
{
CvInvoke.Rectangle(img, c.Region, new MCvScalar(255, 0, 0));
}
String messageOcr = _ocr.GetText().TrimEnd('\n', '\r'); // remove end of line from ocr-ed text
Debug.Log("Detected text: " + message);
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);
}
// Use this for initialization
void Start()
{
#if !(NETFX_CORE && (!UNITY_EDITOR))
//Warning: The following code is used to get around a https certification issue for downloading tesseract language files from Github
//Do not use this code in a production environment. Please make sure you understand the security implication from the following code before using it
ServicePointManager.ServerCertificateValidationCallback += delegate(object sender, X509Certificate cert, X509Chain chain, SslPolicyErrors sslPolicyErrors) {
HttpWebRequest webRequest = sender as HttpWebRequest;
if (webRequest != null)
{
String requestStr = webRequest.Address.AbsoluteUri;
if (requestStr.StartsWith(@"https://github.com/") || requestStr.StartsWith(@"https://raw.githubusercontent.com/"))
{
return(true);
}
}
return(false);
};
#endif
TesseractDownloadLangFile(Application.persistentDataPath, "eng");
TesseractDownloadLangFile(Application.persistentDataPath, "osd"); //script orientation detection
_ocr = new Tesseract(Path.Combine(Application.persistentDataPath, "tessdata"), "eng", OcrEngineMode.TesseractLstmCombined);
Debug.Log("OCR engine loaded.");
Image <Bgr, Byte> img = new Image <Bgr, byte>(480, 200);
String message = "Hello, World";
CvInvoke.PutText(img, message, new Point(50, 100), Emgu.CV.CvEnum.FontFace.HersheySimplex, 1.0, new MCvScalar(255, 255, 255));
_ocr.SetImage(img);
_ocr.Recognize();
Tesseract.Character[] characters = _ocr.GetCharacters();
foreach (Tesseract.Character c in characters)
{
CvInvoke.Rectangle(img, c.Region, new MCvScalar(255, 0, 0));
}
String messageOcr = _ocr.GetUTF8Text().TrimEnd('\n', '\r'); // remove end of line from ocr-ed text
Debug.Log("Detected text: " + message);
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);
}
// Use this for initialization
void Start()
{
String[] names = new string[] { "eng.cube.bigrams", "eng.cube.fold", "eng.cube.lm", "eng.cube.nn", "eng.cube.params", "eng.cube.size", "eng.cube.word-freq", "eng.tesseract_cube.nn", "eng.traineddata" };
String outputPath = Path.Combine("C:\\Emgu/emgucv-windesktop 3.1.0.2504/Emgu.CV.World", "tessdata");
if (!Directory.Exists(outputPath))
{
Directory.CreateDirectory(outputPath);
}
foreach (String n in names)
{
TextAsset textAsset = Resources.Load <TextAsset>(Path.Combine("tessdata", n));
String filePath = Path.Combine(outputPath, n);
#if UNITY_METRO
UnityEngine.Windows.File.WriteAllBytes(filePath, textAsset.bytes);
#else
if (!File.Exists(filePath))
{
File.WriteAllBytes(filePath, textAsset.bytes);
}
#endif
}
_ocr = new Tesseract(outputPath, "eng", OcrEngineMode.TesseractCubeCombined);
Debug.Log("OCR engine loaded.");
print("OCR processing..");
Image <Bgr, Byte> img = TextureConvert.Texture2dToImage <Bgr, Byte>(original_texture);
_ocr.Recognize(img);
Tesseract.Character[] characters = _ocr.GetCharacters();
foreach (Tesseract.Character c in characters) //draw rect for each character
{
CvInvoke.Rectangle(img, c.Region, new MCvScalar(255, 0, 0));
}
String messageOcr = _ocr.GetText().TrimEnd('\n', '\r'); // remove end of line from ocr-ed text
Debug.Log("Detected text: " + messageOcr);
Texture2D texture = TextureConvert.InputArrayToTexture2D(img, FlipType.Vertical);
original_texture = texture;
build_map(characters);
}
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);
}
