123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207 |
- using OpenCVForUnity.CoreModule;
- using OpenCVForUnity.Features2dModule;
- using OpenCVForUnity.UtilsModule;
- using System;
- using System.Collections.Generic;
- using System.Runtime.InteropServices;
- namespace OpenCVForUnity.Xfeatures2dModule
- {
- // C++: class BEBLID
- /**
- * Class implementing BEBLID (Boosted Efficient Binary Local Image Descriptor),
- * described in CITE: Suarez2020BEBLID .
- *
- * BEBLID \cite Suarez2020BEBLID is a efficient binary descriptor learned with boosting.
- * It is able to describe keypoints from any detector just by changing the scale_factor parameter.
- * In several benchmarks it has proved to largely improve other binary descriptors like ORB or
- * BRISK with the same efficiency. BEBLID describes using the difference of mean gray values in
- * different regions of the image around the KeyPoint, the descriptor is specifically optimized for
- * image matching and patch retrieval addressing the asymmetries of these problems.
- *
- * If you find this code useful, please add a reference to the following paper:
- * <BLOCKQUOTE> Iago Suárez, Ghesn Sfeir, José M. Buenaposada, and Luis Baumela.
- * BEBLID: Boosted efficient binary local image descriptor.
- * Pattern Recognition Letters, 133:366–372, 2020. </BLOCKQUOTE>
- *
- * The descriptor was trained using 1 million of randomly sampled pairs of patches
- * (20% positives and 80% negatives) from the Liberty split of the UBC datasets
- * \cite winder2007learning as described in the paper CITE: Suarez2020BEBLID.
- * You can check in the [AKAZE example](https://raw.githubusercontent.com/opencv/opencv/master/samples/cpp/tutorial_code/features2D/AKAZE_match.cpp)
- * how well BEBLID works. Detecting 10000 keypoints with ORB and describing with BEBLID obtains
- * 561 inliers (75%) whereas describing with ORB obtains only 493 inliers (63%).
- */
- public class BEBLID : Feature2D
- {
- protected override void Dispose(bool disposing)
- {
- try
- {
- if (disposing)
- {
- }
- if (IsEnabledDispose)
- {
- if (nativeObj != IntPtr.Zero)
- xfeatures2d_BEBLID_delete(nativeObj);
- nativeObj = IntPtr.Zero;
- }
- }
- finally
- {
- base.Dispose(disposing);
- }
- }
- protected internal BEBLID(IntPtr addr) : base(addr) { }
- // internal usage only
- public static new BEBLID __fromPtr__(IntPtr addr) { return new BEBLID(addr); }
- // C++: enum cv.xfeatures2d.BEBLID.BeblidSize
- public const int SIZE_512_BITS = 100;
- public const int SIZE_256_BITS = 101;
- //
- // C++: static Ptr_BEBLID cv::xfeatures2d::BEBLID::create(float scale_factor, int n_bits = BEBLID::SIZE_512_BITS)
- //
- /**
- * Creates the BEBLID descriptor.
- * param scale_factor Adjust the sampling window around detected keypoints:
- * <ul>
- * <li>
- * <b> 1.00f </b> should be the scale for ORB keypoints
- * </li>
- * <li>
- * <b> 6.75f </b> should be the scale for SIFT detected keypoints
- * </li>
- * <li>
- * <b> 6.25f </b> is default and fits for KAZE, SURF detected keypoints
- * </li>
- * <li>
- * <b> 5.00f </b> should be the scale for AKAZE, MSD, AGAST, FAST, BRISK keypoints
- * </li>
- * </ul>
- * param n_bits Determine the number of bits in the descriptor. Should be either
- * BEBLID::SIZE_512_BITS or BEBLID::SIZE_256_BITS.
- * return automatically generated
- */
- public static BEBLID create(float scale_factor, int n_bits)
- {
- return BEBLID.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(xfeatures2d_BEBLID_create_10(scale_factor, n_bits)));
- }
- /**
- * Creates the BEBLID descriptor.
- * param scale_factor Adjust the sampling window around detected keypoints:
- * <ul>
- * <li>
- * <b> 1.00f </b> should be the scale for ORB keypoints
- * </li>
- * <li>
- * <b> 6.75f </b> should be the scale for SIFT detected keypoints
- * </li>
- * <li>
- * <b> 6.25f </b> is default and fits for KAZE, SURF detected keypoints
- * </li>
- * <li>
- * <b> 5.00f </b> should be the scale for AKAZE, MSD, AGAST, FAST, BRISK keypoints
- * </li>
- * </ul>
- * BEBLID::SIZE_512_BITS or BEBLID::SIZE_256_BITS.
- * return automatically generated
- */
- public static BEBLID create(float scale_factor)
- {
- return BEBLID.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(xfeatures2d_BEBLID_create_11(scale_factor)));
- }
- //
- // C++: void cv::xfeatures2d::BEBLID::setScaleFactor(float scale_factor)
- //
- public void setScaleFactor(float scale_factor)
- {
- ThrowIfDisposed();
- xfeatures2d_BEBLID_setScaleFactor_10(nativeObj, scale_factor);
- }
- //
- // C++: float cv::xfeatures2d::BEBLID::getScaleFactor()
- //
- public float getScaleFactor()
- {
- ThrowIfDisposed();
- return xfeatures2d_BEBLID_getScaleFactor_10(nativeObj);
- }
- //
- // C++: String cv::xfeatures2d::BEBLID::getDefaultName()
- //
- public override string getDefaultName()
- {
- ThrowIfDisposed();
- string retVal = Marshal.PtrToStringAnsi(DisposableObject.ThrowIfNullIntPtr(xfeatures2d_BEBLID_getDefaultName_10(nativeObj)));
- return retVal;
- }
- #if (UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR
- const string LIBNAME = "__Internal";
- #else
- const string LIBNAME = "opencvforunity";
- #endif
- // C++: static Ptr_BEBLID cv::xfeatures2d::BEBLID::create(float scale_factor, int n_bits = BEBLID::SIZE_512_BITS)
- [DllImport(LIBNAME)]
- private static extern IntPtr xfeatures2d_BEBLID_create_10(float scale_factor, int n_bits);
- [DllImport(LIBNAME)]
- private static extern IntPtr xfeatures2d_BEBLID_create_11(float scale_factor);
- // C++: void cv::xfeatures2d::BEBLID::setScaleFactor(float scale_factor)
- [DllImport(LIBNAME)]
- private static extern void xfeatures2d_BEBLID_setScaleFactor_10(IntPtr nativeObj, float scale_factor);
- // C++: float cv::xfeatures2d::BEBLID::getScaleFactor()
- [DllImport(LIBNAME)]
- private static extern float xfeatures2d_BEBLID_getScaleFactor_10(IntPtr nativeObj);
- // C++: String cv::xfeatures2d::BEBLID::getDefaultName()
- [DllImport(LIBNAME)]
- private static extern IntPtr xfeatures2d_BEBLID_getDefaultName_10(IntPtr nativeObj);
- // native support for java finalize()
- [DllImport(LIBNAME)]
- private static extern void xfeatures2d_BEBLID_delete(IntPtr nativeObj);
- }
- }
|