// Use this for initialization
void Start()
{
Texture2D lenaTexture = Resources.Load <Texture2D>("lena");
//updateTextureWithString("load lena ok");
Image <Bgr, Byte> img = TextureConvert.Texture2dToImage <Bgr, byte>(lenaTexture);
//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 (Image <Gray, Byte> gray = img.Convert <Gray, byte>())
{
//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.ImageToTexture2D(img, FlipType.Vertical);
this.GetComponent <GUITexture>().texture = texture;
this.GetComponent <GUITexture>().pixelInset = new Rect(-img.Width / 2, -img.Height / 2, img.Width, img.Height);
}
IEnumerator ocr_async()
{
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" };
if (!Directory.Exists(outputPath))
{
Directory.CreateDirectory(outputPath);
}
yield return(Ninja.JumpToUnity);
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
}
yield return(Ninja.JumpBack);
_ocr = new Tesseract(outputPath, "eng", OcrEngineMode.TesseractCubeCombined);
yield return(Ninja.JumpToUnity);
print("OCR engine loaded.");
print("OCR processing..");
Image <Bgr, Byte> img = TextureConvert.Texture2dToImage <Bgr, Byte>(original_texture);
yield return(Ninja.JumpBack);
_ocr.Recognize(img);
Tesseract.Character[] characters = _ocr.GetCharacters();
String messageOcr = _ocr.GetText().TrimEnd('\n', '\r'); // remove end of line from ocr-ed text
yield return(Ninja.JumpToUnity);
Debug.Log("Detected text: " + messageOcr);
build_char_list(characters);
progress_indicator.SetActive(false);
}
// 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);
}
public static bool FindBoard(Texture2D image, out Vector2[,] corners, int boardWidth = 9, int boardHeight = 6)
{
Image <Gray, byte> snapshot = TextureConvert.Texture2dToImage <Gray, byte>(image);
Size patternSize = new Size(boardWidth, boardHeight); //size of chess board to be detected
//MCvPoint3D32f[][] corners_object_list = new MCvPoint3D32f[Frame_array_buffer.Length][];
// PointF[][] corners_points_list = new PointF[Frame_array_buffer.Length][];
PointF[] _corners = new PointF[patternSize.Width * patternSize.Height];
bool patternFound = false;
Matrix <float> pointMatrix = new Matrix <float>(_corners.Length, 1, 2);
patternFound = CvInvoke.FindChessboardCorners(snapshot, patternSize, pointMatrix);
if (patternFound)
{
corners = new Vector2[boardWidth, boardHeight];
Matrix <float>[] pointChannels = pointMatrix.Split();
int idx = 0;
foreach (PointF p in _corners)
{
//Debug.Log("points[" + idx + "]=" + pointChannels[0][idx,0] + "," + pointChannels[1][idx, 0]);
corners[idx % boardWidth, idx / boardWidth] = new Vector2(((float)pointChannels[0][idx, 0]) / image.width, 1 - ((float)pointChannels[1][idx, 0]) / image.height);
//Debug.Log("points[" + idx + "]=" + corners[idx % boardWidth, idx / boardWidth]);
idx++;
}
}
else
{
corners = null;
}
return(patternFound);
}