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- using OpenCVForUnity.CoreModule;
- using OpenCVForUnity.Features2dModule;
- using OpenCVForUnity.UtilsModule;
- using System;
- using System.Collections.Generic;
- using System.Runtime.InteropServices;
- namespace OpenCVForUnity.Xfeatures2dModule
- {
- // C++: class TEBLID
- /**
- * Class implementing TEBLID (Triplet-based Efficient Binary Local Image Descriptor),
- * described in CITE: Suarez2021TEBLID.
- *
- * TEBLID stands for Triplet-based Efficient Binary Local Image Descriptor, although originally it was called BAD
- * \cite Suarez2021TEBLID. It is an improvement over BEBLID \cite Suarez2020BEBLID, that uses triplet loss,
- * hard negative mining, and anchor swap to improve the image matching results.
- * It is able to describe keypoints from any detector just by changing the scale_factor parameter.
- * TEBLID is as efficient as ORB, BEBLID or BRISK, but the triplet-based training objective selected more
- * discriminative features that explain the accuracy gain. It is also more compact than BEBLID,
- * when running the [AKAZE example](https://github.com/opencv/opencv/blob/4.x/samples/cpp/tutorial_code/features2D/AKAZE_match.cpp)
- * with 10000 keypoints detected by ORB, BEBLID obtains 561 inliers (75%) with 512 bits, whereas
- * TEBLID obtains 621 (75.2%) with 256 bits. ORB obtains only 493 inliers (63%).
- *
- * If you find this code useful, please add a reference to the following paper:
- * <BLOCKQUOTE> Iago Suárez, José M. Buenaposada, and Luis Baumela.
- * Revisiting Binary Local Image Description for Resource Limited Devices.
- * IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 8317-8324, Oct. 2021. </BLOCKQUOTE>
- *
- * The descriptor was trained in Liberty split of the UBC datasets \cite winder2007learning .
- */
- public class TEBLID : Feature2D
- {
- protected override void Dispose(bool disposing)
- {
- try
- {
- if (disposing)
- {
- }
- if (IsEnabledDispose)
- {
- if (nativeObj != IntPtr.Zero)
- xfeatures2d_TEBLID_delete(nativeObj);
- nativeObj = IntPtr.Zero;
- }
- }
- finally
- {
- base.Dispose(disposing);
- }
- }
- protected internal TEBLID(IntPtr addr) : base(addr) { }
- // internal usage only
- public static new TEBLID __fromPtr__(IntPtr addr) { return new TEBLID(addr); }
- // C++: enum cv.xfeatures2d.TEBLID.TeblidSize
- public const int SIZE_256_BITS = 102;
- public const int SIZE_512_BITS = 103;
- //
- // C++: static Ptr_TEBLID cv::xfeatures2d::TEBLID::create(float scale_factor, int n_bits = TEBLID::SIZE_256_BITS)
- //
- /**
- * Creates the TEBLID 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
- * TEBLID::SIZE_256_BITS or TEBLID::SIZE_512_BITS.
- * return automatically generated
- */
- public static TEBLID create(float scale_factor, int n_bits)
- {
- return TEBLID.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(xfeatures2d_TEBLID_create_10(scale_factor, n_bits)));
- }
- /**
- * Creates the TEBLID 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>
- * TEBLID::SIZE_256_BITS or TEBLID::SIZE_512_BITS.
- * return automatically generated
- */
- public static TEBLID create(float scale_factor)
- {
- return TEBLID.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(xfeatures2d_TEBLID_create_11(scale_factor)));
- }
- //
- // C++: String cv::xfeatures2d::TEBLID::getDefaultName()
- //
- public override string getDefaultName()
- {
- ThrowIfDisposed();
- string retVal = Marshal.PtrToStringAnsi(DisposableObject.ThrowIfNullIntPtr(xfeatures2d_TEBLID_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_TEBLID cv::xfeatures2d::TEBLID::create(float scale_factor, int n_bits = TEBLID::SIZE_256_BITS)
- [DllImport(LIBNAME)]
- private static extern IntPtr xfeatures2d_TEBLID_create_10(float scale_factor, int n_bits);
- [DllImport(LIBNAME)]
- private static extern IntPtr xfeatures2d_TEBLID_create_11(float scale_factor);
- // C++: String cv::xfeatures2d::TEBLID::getDefaultName()
- [DllImport(LIBNAME)]
- private static extern IntPtr xfeatures2d_TEBLID_getDefaultName_10(IntPtr nativeObj);
- // native support for java finalize()
- [DllImport(LIBNAME)]
- private static extern void xfeatures2d_TEBLID_delete(IntPtr nativeObj);
- }
- }
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