/// <summary>
/// Initializes the detector for single marker detection.
/// </summary>
/// <param name="width">The width of the buffer that will be used for detection.</param>
/// <param name="height">The height of the buffer that will be used for detection.</param>
/// <param name="nearPlane">The near view plane of the frustum.</param>
/// <param name="farPlane">The far view plane of the frustum.</param>
/// <param name="markers">A list of markers that should be detected.</param>
/// <param name="bufferType">The type of the buffer.</param>
/// <param name="adaptive">Performs an adaptive bitmap thresholding if set to true. Default = false.</param>
protected void Initialize(int width, int height, double nearPlane, double farPlane, IList <Marker> markers, int bufferType, bool adaptive = false)
{
// Check arguments
if (markers == null || !markers.Any())
{
throw new ArgumentNullException("markers");
}
// Member init
this.bufferWidth = width;
this.bufferHeight = height;
this.isAdaptive = adaptive;
// Init pattern matchers with markers and check segment size, whcih has to be equal for all markers
int segmentX = markers[0].SegmentsX;
int segmentY = markers[0].SegmentsY;
var patternMatchers = new List <PatternMatcher>(markers.Count);
foreach (var marker in markers)
{
if (marker.SegmentsX != segmentX || marker.SegmentsY != segmentY)
{
throw new ArgumentException("The Segment size has to be equal for all markers. Don't mix 16x16 and 32x32 markers for example.", "markers");
}
patternMatchers.Add(new PatternMatcher(marker));
}
// Load deafult camera calibration data
var asmName = new System.Reflection.AssemblyName(System.Reflection.Assembly.GetExecutingAssembly().FullName).Name;
var streamResInfoCam = Application.GetResourceStream(new Uri(asmName + ";component/data/Camera_Calibration_Default.dat", UriKind.Relative));
var cameraParameters = new NyARParam();
using (var cameraCalibrationDataStream = streamResInfoCam.Stream)
{
cameraParameters.loadARParam(cameraCalibrationDataStream);
cameraParameters.changeScreenSize(width, height);
}
// Get projection matrix from camera calibration data
this.Projection = cameraParameters.GetCameraFrustumRH(nearPlane, farPlane);
// Init detector and necessary data
var colorPattern = new NyARColorPatt_Perspective_O2(segmentX, segmentY, 4, 25);
var patternMatchDeviationData = new NyARMatchPattDeviationColorData(segmentX, segmentY);
this.squareDetector = new NyARSquareContourDetector_Rle(cameraParameters.getScreenSize());
this.squareDetectionListener = new SquareDetectionListener(patternMatchers, cameraParameters, colorPattern, patternMatchDeviationData);
// Init buffer members
this.filteredBuffer = new NyARBinRaster(width, height);
if (adaptive)
{
this.bufferFilter = new NyARRasterFilter_AdaptiveThreshold(bufferType);
}
else
{
this.bufferFilter = new NyARRasterFilter_ARToolkitThreshold(this.Threshold, bufferType);
}
}
protected void initInstance(
INyARColorPatt i_patt_inst,
NyARSquareContourDetector i_sqdetect_inst,
INyARTransMat i_transmat_inst,
INyARRasterFilter_Rgb2Bin i_filter,
NyARParam i_ref_param,
NyARCode i_ref_code,
double i_marker_width)
{
NyARIntSize scr_size = i_ref_param.getScreenSize();
// 解析オブジェクトを作る
this._square_detect = i_sqdetect_inst;
this._transmat = i_transmat_inst;
this._tobin_filter = i_filter;
//２値画像バッファを作る
this._bin_raster = new NyARBinRaster(scr_size.w, scr_size.h);
//パターンの一致検索処理用
this._inst_patt = i_patt_inst;
this._deviation_data = new NyARMatchPattDeviationColorData(i_ref_code.getWidth(), i_ref_code.getHeight());
this._coordline = new NyARCoord2Linear(i_ref_param.getScreenSize(), i_ref_param.getDistortionFactor());
this._match_patt = new NyARMatchPatt_Color_WITHOUT_PCA(i_ref_code);
//オフセットを作成
this._offset = new NyARRectOffset();
this._offset.setSquare(i_marker_width);
return;
}
protected void initInstance(
INyARColorPatt i_patt_inst,
NyARSquareContourDetector i_sqdetect_inst,
INyARTransMat i_transmat_inst,
INyARRasterFilter_Rgb2Bin i_filter,
NyARParam i_ref_param,
NyARCode i_ref_code,
double i_marker_width)
{
NyARIntSize scr_size = i_ref_param.getScreenSize();
// 解析オブジェクトを作る
this._square_detect = i_sqdetect_inst;
this._transmat = i_transmat_inst;
this._tobin_filter = i_filter;
//２値画像バッファを作る
this._bin_raster = new NyARBinRaster(scr_size.w, scr_size.h);
//_detect_cb
this._detect_cb = new DetectSquareCB(i_patt_inst, i_ref_code, i_ref_param);
//オフセットを作成
this._offset = new NyARRectOffset();
this._offset.setSquare(i_marker_width);
return;
}
/// <summary>
/// Initializes the detector for single marker detection.
/// </summary>
/// <param name="width">The width of the buffer that will be used for detection.</param>
/// <param name="height">The height of the buffer that will be used for detection.</param>
/// <param name="nearPlane">The near view plane of the frustum.</param>
/// <param name="farPlane">The far view plane of the frustum.</param>
/// <param name="markers">A list of markers that should be detected.</param>
/// <param name="bufferType">The type of the buffer.</param>
/// <param name="adaptive">Performs an adaptive bitmap thresholding if set to true. Default = false.</param>
protected void Initialize(int width, int height, double nearPlane, double farPlane, IList<Marker> markers, int bufferType, bool adaptive = false)
{
// Check arguments
if (markers == null || !markers.Any())
{
throw new ArgumentNullException("markers");
}
// Member init
this.bufferWidth = width;
this.bufferHeight = height;
this.isAdaptive = adaptive;
// Init pattern matchers with markers and check segment size, whcih has to be equal for all markers
int segmentX = markers[0].SegmentsX;
int segmentY = markers[0].SegmentsY;
var patternMatchers = new List<PatternMatcher>(markers.Count);
foreach (var marker in markers)
{
if (marker.SegmentsX != segmentX || marker.SegmentsY != segmentY)
{
throw new ArgumentException("The Segment size has to be equal for all markers. Don't mix 16x16 and 32x32 markers for example.", "markers");
}
patternMatchers.Add(new PatternMatcher(marker));
}
// Load deafult camera calibration data
string location = System.IO.Path.GetDirectoryName(System.Reflection.Assembly.GetExecutingAssembly().Location);
StreamReader reader = new StreamReader(location + "/Content/Data/Camera_Calibration_1280x720.dat");
var cameraParameters = new NyARParam();
using (var cameraCalibrationDataStream = reader.BaseStream)
{
cameraParameters.loadARParam(cameraCalibrationDataStream);
cameraParameters.changeScreenSize(width, height);
}
//var asmName = new System.Reflection.AssemblyName(System.Reflection.Assembly.GetExecutingAssembly().FullName).Name;
//var uri = new Uri(asmName + ";component/Assets/data/Camera_Calibration_1280x720.dat", UriKind.Relative);
//var streamResInfoCam = Application.GetResourceStream(uri);
//if (null == streamResInfoCam)
// throw new FileNotFoundException("Application.GetResourceStream returned null", uri.OriginalString);
//var cameraParameters = new NyARParam();
//using (var cameraCalibrationDataStream = streamResInfoCam.Stream)
//{
// cameraParameters.loadARParam(cameraCalibrationDataStream);
// cameraParameters.changeScreenSize(width, height);
//}
// Get projection matrix from camera calibration data
this.Projection = cameraParameters.GetCameraFrustumRH(nearPlane, farPlane);
// Init detector and necessary data
var colorPattern = new NyARColorPatt_Perspective_O2(segmentX, segmentY, 4, 25);
var patternMatchDeviationData = new NyARMatchPattDeviationColorData(segmentX, segmentY);
this.squareDetector = new NyARSquareContourDetector_Rle(cameraParameters.getScreenSize());
this.squareDetectionListener = new SquareDetectionListener(patternMatchers, cameraParameters, colorPattern, patternMatchDeviationData);
// Init buffer members
this.filteredBuffer = new NyARBinRaster(width, height);
if (adaptive)
{
this.bufferFilter = new NyARRasterFilter_AdaptiveThreshold(bufferType);
}
else
{
this.bufferFilter = new NyARRasterFilter_ARToolkitThreshold(this.Threshold, bufferType);
}
}
protected void initInstance(
INyARColorPatt i_patt_inst,
NyARSquareContourDetector i_sqdetect_inst,
INyARTransMat i_transmat_inst,
INyARRasterFilter_Rgb2Bin i_filter,
NyARParam i_ref_param,
NyARCode i_ref_code,
double i_marker_width)
{
NyARIntSize scr_size = i_ref_param.getScreenSize();
// 解析オブジェクトを作る
this._square_detect = i_sqdetect_inst;
this._transmat = i_transmat_inst;
this._tobin_filter = i_filter;
//２値画像バッファを作る
this._bin_raster = new NyARBinRaster(scr_size.w, scr_size.h);
//_detect_cb
this._detect_cb = new DetectSquareCB(i_patt_inst, i_ref_code, i_ref_param);
//オフセットを作成
this._offset = new NyARRectOffset();
this._offset.setSquare(i_marker_width);
return;
}
