protected NyARSingleDetectMarker(NyARParam i_ref_param, NyARCode i_ref_code, double i_marker_width)
{
this._deviation_data = new NyARMatchPattDeviationColorData(i_ref_code.getWidth(), i_ref_code.getHeight());
this._match_patt = new NyARMatchPatt_Color_WITHOUT_PCA(i_ref_code);
this._offset = new NyARRectOffset();
this._offset.setSquare(i_marker_width);
this._coordline = new NyARCoord2Linear(i_ref_param.getScreenSize(), i_ref_param.getDistortionFactor());
//２値画像バッファを作る
NyARIntSize s = i_ref_param.getScreenSize();
this._bin_raster = new NyARBinRaster(s.w, s.h);
}
protected void initInstance(NyARParam i_param, int i_raster_type)
{
//初期化済？
Debug.Assert(this._initialized == false);
NyARIntSize scr_size = i_param.getScreenSize();
// 解析オブジェクトを作る
this._transmat = new NyARTransMat(i_param);
this._tobin_filter = new NyARRasterFilter_ARToolkitThreshold(110, i_raster_type);
// ２値画像バッファを作る
this._bin_raster = new NyARBinRaster(scr_size.w, scr_size.h);
this._threshold_detect = new NyARRasterThresholdAnalyzer_SlidePTile(15, i_raster_type, 4);
this._initialized = true;
//コールバックハンドラ
this._detectmarker = new DetectSquare(i_param, i_raster_type);
this._offset = new NyARRectOffset();
return;
}
protected void initInstance(NyARParam i_param, INyIdMarkerDataEncoder i_encoder, double i_marker_width, int i_raster_format)
{
//初期化済？
Debug.Assert(this._initialized == false);
NyARIntSize scr_size = i_param.getScreenSize();
// 解析オブジェクトを作る
this._square_detect = new RleDetector(i_param, i_encoder);
this._transmat = new NyARTransMat(i_param);
// ２値画像バッファを作る
this._bin_raster = new NyARBinRaster(scr_size.w, scr_size.h);
//ワーク用のデータオブジェクトを２個作る
this._data_current = i_encoder.createDataInstance();
this._tobin_filter = new NyARRasterFilter_ARToolkitThreshold(110, i_raster_format);
this._threshold_detect = new NyARRasterThresholdAnalyzer_SlidePTile(15, i_raster_format, 4);
this._initialized = true;
this._is_active = false;
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;
}
/**
* この関数は、ラスタから矩形を検出して、自己コールバック関数{@link #onSquareDetect}で通知します。
* 実装クラスでは、矩形検出処理をして、結果を通知する処理を実装してください。
* @param i_raster
* 検出元のラスタ画像
* @
*/
public void detectMarker(NyARBinRaster i_raster, NyARSquareContourDetector.CbHandler i_cb)
{
NyARLabelingImage limage = this._limage;
// ラベル数が0ならここまで
int label_num = this._labeling.labeling(i_raster, this._limage);
if (label_num < 1)
{
return;
}
NyARLabelingLabelStack stack = limage.getLabelStack();
//ラベルをソートしておく
stack.sortByArea();
//
NyARLabelingLabel[] labels = stack.getArray();
// デカいラベルを読み飛ばし
int i;
for (i = 0; i < label_num; i++)
{
// 検査対象内のラベルサイズになるまで無視
if (labels[i].area <= AR_AREA_MAX)
{
break;
}
}
int xsize = this._width;
int ysize = this._height;
NyARIntCoordinates coord = this._coord;
int[] mkvertex = this.__detectMarker_mkvertex;
NyARLabelOverlapChecker <NyARLabelingLabel> overlap = this._overlap_checker;
//重なりチェッカの最大数を設定
overlap.setMaxLabels(label_num);
for (; i < label_num; i++)
{
NyARLabelingLabel label_pt = labels[i];
int label_area = label_pt.area;
// 検査対象サイズよりも小さくなったら終了
if (label_area < AR_AREA_MIN)
{
break;
}
// クリップ領域が画面の枠に接していれば除外
if (label_pt.clip_l == 1 || label_pt.clip_r == xsize - 2)
{// if(wclip[i*4+0] == 1 || wclip[i*4+1] ==xsize-2){
continue;
}
if (label_pt.clip_t == 1 || label_pt.clip_b == ysize - 2)
{// if( wclip[i*4+2] == 1 || wclip[i*4+3] ==ysize-2){
continue;
}
// 既に検出された矩形との重なりを確認
if (!overlap.check(label_pt))
{
// 重なっているようだ。
continue;
}
// 輪郭を取得
if (!this._cpickup.getContour(limage, limage.getTopClipTangentX(label_pt), label_pt.clip_t, coord))
{
continue;
}
//輪郭線をチェックして、矩形かどうかを判定。矩形ならばmkvertexに取得
if (!this._coord2vertex.getVertexIndexes(coord, label_area, mkvertex))
{
// 頂点の取得が出来なかった
continue;
}
//矩形を発見したことをコールバック関数で通知
i_cb.detectMarkerCallback(coord, mkvertex);
// 検出済の矩形の属したラベルを重なりチェックに追加する。
overlap.push(label_pt);
}
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 async Task 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);
//}
var file = await StorageFile.GetFileFromApplicationUriAsync(new Uri("ms-appx:///UWPARToolkit/data/Camera_Calibration_Default.dat"));
var cameraParameters = new NyARParam();
using (var s = await file.OpenReadAsync())
{
var instr = s.AsStream();
{
cameraParameters.loadARParam(instr);
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);
}
}
/// <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);
}
}
/**
* この関数は、ラスタから矩形を検出して、自己コールバック関数{@link #onSquareDetect}で通知します。
* 実装クラスでは、矩形検出処理をして、結果を通知する処理を実装してください。
* @param i_raster
* 検出元のラスタ画像
* @
*/
public void detectMarker(NyARBinRaster i_raster, NyARSquareContourDetector.CbHandler i_cb)
{
NyARLabelingImage limage = this._limage;
// ラベル数が0ならここまで
int label_num = this._labeling.labeling(i_raster, this._limage);
if (label_num < 1)
{
return;
}
NyARLabelingLabelStack stack = limage.getLabelStack();
//ラベルをソートしておく
stack.sortByArea();
//
NyARLabelingLabel[] labels = stack.getArray();
// デカいラベルを読み飛ばし
int i;
for (i = 0; i < label_num; i++)
{
// 検査対象内のラベルサイズになるまで無視
if (labels[i].area <= AR_AREA_MAX)
{
break;
}
}
int xsize = this._width;
int ysize = this._height;
NyARIntCoordinates coord = this._coord;
int[] mkvertex = this.__detectMarker_mkvertex;
NyARLabelOverlapChecker<NyARLabelingLabel> overlap = this._overlap_checker;
//重なりチェッカの最大数を設定
overlap.setMaxLabels(label_num);
for (; i < label_num; i++)
{
NyARLabelingLabel label_pt = labels[i];
int label_area = label_pt.area;
// 検査対象サイズよりも小さくなったら終了
if (label_area < AR_AREA_MIN)
{
break;
}
// クリップ領域が画面の枠に接していれば除外
if (label_pt.clip_l == 1 || label_pt.clip_r == xsize - 2)
{// if(wclip[i*4+0] == 1 || wclip[i*4+1] ==xsize-2){
continue;
}
if (label_pt.clip_t == 1 || label_pt.clip_b == ysize - 2)
{// if( wclip[i*4+2] == 1 || wclip[i*4+3] ==ysize-2){
continue;
}
// 既に検出された矩形との重なりを確認
if (!overlap.check(label_pt))
{
// 重なっているようだ。
continue;
}
// 輪郭を取得
if (!this._cpickup.getContour(limage, limage.getTopClipTangentX(label_pt), label_pt.clip_t, coord))
{
continue;
}
//輪郭線をチェックして、矩形かどうかを判定。矩形ならばmkvertexに取得
if (!this._coord2vertex.getVertexIndexes(coord, label_area, mkvertex))
{
// 頂点の取得が出来なかった
continue;
}
//矩形を発見したことをコールバック関数で通知
i_cb.detectMarkerCallback(coord, mkvertex);
// 検出済の矩形の属したラベルを重なりチェックに追加する。
overlap.push(label_pt);
}
return;
}
