Updated .net runtime to 4.0 for Windows Standalone Unity build.

Emgu.CV.Unity/Assets/Emgu.CV/Demo/DrawMatches.cs

@@ -1,129 +0,0 @@
-//----------------------------------------------------------------------------
-//  Copyright (C) 2004-2019 by EMGU Corporation. All rights reserved.       
-//----------------------------------------------------------------------------
-using System;
-using System.Collections.Generic;
-using System.Diagnostics;
-using System.Drawing;
-using Emgu.CV;
-using Emgu.CV.CvEnum;
-using Emgu.CV.Features2D;
-using Emgu.CV.Flann;
-using Emgu.CV.Structure;
-using Emgu.CV.Util;
-
-namespace FeatureMatchingExample
-{
-    public static class DrawMatches
-    {
-        public static void FindMatch(Mat modelImage, Mat observedImage, out long matchTime, out VectorOfKeyPoint modelKeyPoints, out VectorOfKeyPoint observedKeyPoints, VectorOfVectorOfDMatch matches, out Mat mask, out Mat homography)
-        {
-            int k = 2;
-            double uniquenessThreshold = 0.80;
-
-            Stopwatch watch;
-            homography = null;
-
-            modelKeyPoints = new VectorOfKeyPoint();
-            observedKeyPoints = new VectorOfKeyPoint();
-
-            using (UMat uModelImage = modelImage.GetUMat(AccessType.Read))
-            using (UMat uObservedImage = observedImage.GetUMat(AccessType.Read))
-            {
-                KAZE featureDetector = new KAZE();
-
-                //extract features from the object image
-                Mat modelDescriptors = new Mat();
-                featureDetector.DetectAndCompute(uModelImage, null, modelKeyPoints, modelDescriptors, false);
-
-                watch = Stopwatch.StartNew();
-
-                // extract features from the observed image
-                Mat observedDescriptors = new Mat();
-                featureDetector.DetectAndCompute(uObservedImage, null, observedKeyPoints, observedDescriptors, false);
-
-                // Bruteforce, slower but more accurate
-                // You can use KDTree for faster matching with slight loss in accuracy
-                using (Emgu.CV.Flann.LinearIndexParams ip = new Emgu.CV.Flann.LinearIndexParams()) 
-                using (Emgu.CV.Flann.SearchParams sp = new SearchParams())
-                using (DescriptorMatcher matcher = new FlannBasedMatcher(ip, sp))
-                {
-                    matcher.Add(modelDescriptors);
-
-                    matcher.KnnMatch(observedDescriptors, matches, k, null);
-                    mask = new Mat(matches.Size, 1, DepthType.Cv8U, 1);
-                    mask.SetTo(new MCvScalar(255));
-                    Features2DToolbox.VoteForUniqueness(matches, uniquenessThreshold, mask);
-
-                    int nonZeroCount = CvInvoke.CountNonZero(mask);
-                    if (nonZeroCount >= 4)
-                    {
-                        nonZeroCount = Features2DToolbox.VoteForSizeAndOrientation(modelKeyPoints, observedKeyPoints,
-                            matches, mask, 1.5, 20);
-                        if (nonZeroCount >= 4)
-                            homography = Features2DToolbox.GetHomographyMatrixFromMatchedFeatures(modelKeyPoints,
-                                observedKeyPoints, matches, mask, 2);
-                    }
-                }
-                watch.Stop();
-
-            }
-            matchTime = watch.ElapsedMilliseconds;
-        }
-
-        /// <summary>
-        /// Draw the model image and observed image, the matched features and homography projection.
-        /// </summary>
-        /// <param name="modelImage">The model image</param>
-        /// <param name="observedImage">The observed image</param>
-        /// <param name="matchTime">The output total time for computing the homography matrix.</param>
-        /// <returns>The model image and observed image, the matched features and homography projection.</returns>
-        public static Mat Draw(Mat modelImage, Mat observedImage, out long matchTime)
-        {
-            Mat homography;
-            VectorOfKeyPoint modelKeyPoints;
-            VectorOfKeyPoint observedKeyPoints;
-            using (VectorOfVectorOfDMatch matches = new VectorOfVectorOfDMatch())
-            {
-                Mat mask;
-                FindMatch(modelImage, observedImage, out matchTime, out modelKeyPoints, out observedKeyPoints, matches,
-                   out mask, out homography);
-
-                //Draw the matched keypoints
-                Mat result = new Mat();
-                Features2DToolbox.DrawMatches(modelImage, modelKeyPoints, observedImage, observedKeyPoints,
-                   matches, result, new MCvScalar(255, 255, 255), new MCvScalar(255, 255, 255), mask);
-
-                #region draw the projected region on the image
-
-                if (homography != null)
-                {
-                    //draw a rectangle along the projected model
-                    Rectangle rect = new Rectangle(Point.Empty, modelImage.Size);
-                    PointF[] pts = new PointF[]
-                    {
-                  new PointF(rect.Left, rect.Bottom),
-                  new PointF(rect.Right, rect.Bottom),
-                  new PointF(rect.Right, rect.Top),
-                  new PointF(rect.Left, rect.Top)
-                    };
-                    pts = CvInvoke.PerspectiveTransform(pts, homography);
-
-#if NETFX_CORE
-               Point[] points = Extensions.ConvertAll<PointF, Point>(pts, Point.Round);
-#else
-                    Point[] points = Array.ConvertAll<PointF, Point>(pts, Point.Round);
-#endif
-                    using (VectorOfPoint vp = new VectorOfPoint(points))
-                    {
-                        CvInvoke.Polylines(result, vp, true, new MCvScalar(255, 0, 0, 255), 5);
-                    }
-                }
-                #endregion
-
-                return result;
-
-            }
-        }
-    }
-}

Emgu.CV.Unity/Assets/Emgu.CV/Plugins/WSA/PhoneSDK81.meta

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Emgu.CV.Unity/Assets/Emgu.CV/Plugins/WSA/SDK81.meta

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Emgu.CV.Unity/ProjectSettings/ProjectVersion.txt

@@ -1 +1 @@
-m_EditorVersion: 2018.3.2f1
+m_EditorVersion: 2018.3.0f2