/// <summary>
/// Creates instance from raw T*
/// </summary>
/// <param name="ptr"></param>
internal static FeatureDetector FromRawPtr(IntPtr ptr)
{
if (ptr == IntPtr.Zero)
throw new OpenCvSharpException("Invalid FeatureDetector pointer");
var detector = new FeatureDetector
{
detectorPtr = null,
ptr = ptr
};
return detector;
}
/// <summary>
/// Creates instance from raw T*
/// </summary>
/// <param name="ptr"></param>
internal static FeatureDetector FromRawPtr(IntPtr ptr)
{
if (ptr == IntPtr.Zero)
{
throw new OpenCvSharpException("Invalid FeatureDetector pointer");
}
var detector = new FeatureDetector
{
detectorPtr = null,
ptr = ptr
};
return(detector);
}
/// <summary>
/// Create feature detector by detector name.
/// </summary>
/// <param name="detectorType">
/// "FAST" – FastFeatureDetector,
/// "STAR" – StarFeatureDetector,
/// "SIFT" – SIFT (nonfree module),
/// "SURF" – SURF (nonfree module),
/// "ORB" – ORB,
/// "BRISK" – BRISK,
/// "MSER" – MSER,
/// "GFTT" – GoodFeaturesToTrackDetector,
/// "HARRIS" – GoodFeaturesToTrackDetector with Harris detector enabled,
/// "Dense" – DenseFeatureDetector,
/// "SimpleBlob" – SimpleBlobDetector
/// </param>
/// <returns></returns>
public static FeatureDetector Create(string detectorType)
{
if (String.IsNullOrEmpty(detectorType))
{
throw new ArgumentNullException("detectorType");
}
// gets cv::Ptr<FeatureDetector>
try
{
IntPtr ptr = NativeMethods.features2d_FeatureDetector_create(detectorType);
FeatureDetector detector = FromPtr(ptr);
return(detector);
}
catch (OpenCvSharpException)
{
throw new OpenCvSharpException("Detector name '{0}' is not valid.", detectorType);
}
}
/// <summary>
/// Finds centers in the grid of circles.
/// </summary>
/// <param name="image">grid view of input circles; it must be an 8-bit grayscale or color image.</param>
/// <param name="patternSize">number of circles per row and column ( patternSize = Size(points_per_row, points_per_colum) ).</param>
/// <param name="centers">output array of detected centers.</param>
/// <param name="flags">various operation flags that can be one of the FindCirclesGridFlag values</param>
/// <param name="blobDetector">feature detector that finds blobs like dark circles on light background.</param>
/// <returns></returns>
public static bool FindCirclesGrid(
InputArray image,
Size patternSize,
out Point2f[] centers,
FindCirclesGridFlag flags = FindCirclesGridFlag.SymmetricGrid,
FeatureDetector blobDetector = null)
{
if (image == null)
throw new ArgumentNullException("image");
image.ThrowIfDisposed();
using (var centersVec = new VectorOfPoint2f())
{
int ret = NativeMethods.calib3d_findCirclesGrid_InputArray(
image.CvPtr, patternSize, centersVec.CvPtr, (int)flags, ToPtr(blobDetector));
centers = centersVec.ToArray();
return ret != 0;
}
}
/// <summary>
/// Finds centers in the grid of circles.
/// </summary>
/// <param name="image">grid view of input circles; it must be an 8-bit grayscale or color image.</param>
/// <param name="patternSize">number of circles per row and column ( patternSize = Size(points_per_row, points_per_colum) ).</param>
/// <param name="centers">output array of detected centers.</param>
/// <param name="flags">various operation flags that can be one of the FindCirclesGridFlag values</param>
/// <param name="blobDetector">feature detector that finds blobs like dark circles on light background.</param>
/// <returns></returns>
public static bool FindCirclesGrid(
InputArray image,
Size patternSize,
OutputArray centers,
FindCirclesGridFlag flags = FindCirclesGridFlag.SymmetricGrid,
FeatureDetector blobDetector = null)
{
if (image == null)
throw new ArgumentNullException("image");
if (centers == null)
throw new ArgumentNullException("centers");
image.ThrowIfDisposed();
centers.ThrowIfNotReady();
int ret = NativeMethods.calib3d_findCirclesGrid_InputArray(
image.CvPtr, patternSize, centers.CvPtr, (int)flags, ToPtr(blobDetector));
centers.Fix();
return ret != 0;
}
