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C# Mat.SaveImage方法代码示例

本文整理汇总了C#中OpenCvSharp.Mat.SaveImage方法的典型用法代码示例。如果您正苦于以下问题:C# Mat.SaveImage方法的具体用法?C# Mat.SaveImage怎么用?C# Mat.SaveImage使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在OpenCvSharp.Mat的用法示例。


在下文中一共展示了Mat.SaveImage方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C#代码示例。

示例1: SaveImageFile

 public static void SaveImageFile(Mat saveMat)
 {
     using (var sfd = new SaveFileDialog()
     {
         FileName = "新しいファイル.jpg",
         Filter = "JPEG ファイル(*.jpg;*.png)|*.jpg;*.png|すべてのファイル(*.*)|*.*",
         FilterIndex = 1,
         RestoreDirectory = true,
     })
     {
         if (sfd.ShowDialog() == DialogResult.OK)
         {
             if (!saveMat.SaveImage(sfd.FileName))
             {
                 Utils.ShowErrorMessage("ファイルを保存できませんでした。");
             }
         }
     }
 }
开发者ID:0V,项目名称:Face-Exchanger,代码行数:19,代码来源:FileManager.cs

示例2: Run

        public void Run()
        {
            using (var img1 = new Mat(FilePath.Image.SurfBox))
            using (var img2 = new Mat(FilePath.Image.SurfBoxinscene))
            using (var descriptors1 = new Mat())
            using (var descriptors2 = new Mat())
            using (var matcher = new BFMatcher(NormTypes.L2SQR))
            using (var kaze = KAZE.Create())
            {
                KeyPoint[] keypoints1, keypoints2;
                kaze.DetectAndCompute(img1, null, out keypoints1, descriptors1);
                kaze.DetectAndCompute(img2, null, out keypoints2, descriptors2);

                DMatch[][] matches = matcher.KnnMatch(descriptors1, descriptors2, 2);
                using (Mat mask = new Mat(matches.Length, 1, MatType.CV_8U))
                {
                    mask.SetTo(new Scalar(255));
                    int nonZero = Cv2.CountNonZero(mask);
                    VoteForUniqueness(matches, mask);
                    nonZero = Cv2.CountNonZero(mask);
                    nonZero = VoteForSizeAndOrientation(keypoints2, keypoints1, matches, mask, 1.5f, 20);

                    List<Point2f> obj = new List<Point2f>();
                    List<Point2f> scene = new List<Point2f>();
                    List<DMatch> goodMatchesList = new List<DMatch>();
                    //iterate through the mask only pulling out nonzero items because they're matches
                    for (int i = 0; i < mask.Rows; i++)
                    {
                        MatIndexer<byte> maskIndexer = mask.GetGenericIndexer<byte>();
                        if (maskIndexer[i] > 0)
                        {
                            obj.Add(keypoints1[matches[i][0].QueryIdx].Pt);
                            scene.Add(keypoints2[matches[i][0].TrainIdx].Pt);
                            goodMatchesList.Add(matches[i][0]);
                        }
                    }

                    List<Point2d> objPts = obj.ConvertAll(Point2fToPoint2d);
                    List<Point2d> scenePts = scene.ConvertAll(Point2fToPoint2d);
                    if (nonZero >= 4)
                    {
                        Mat homography = Cv2.FindHomography(objPts, scenePts, HomographyMethods.Ransac, 1.5, mask);
                        nonZero = Cv2.CountNonZero(mask);

                        if (homography != null)
                        {
                            Point2f[] objCorners = { new Point2f(0, 0),
                                      new Point2f(img1.Cols, 0),
                                      new Point2f(img1.Cols, img1.Rows),
                                      new Point2f(0, img1.Rows) };

                            Point2d[] sceneCorners = MyPerspectiveTransform3(objCorners, homography);

                            //This is a good concat horizontal
                            using (Mat img3 = new Mat(Math.Max(img1.Height, img2.Height), img2.Width + img1.Width, MatType.CV_8UC3))
                            using (Mat left = new Mat(img3, new Rect(0, 0, img1.Width, img1.Height)))
                            using (Mat right = new Mat(img3, new Rect(img1.Width, 0, img2.Width, img2.Height)))
                            {
                                img1.CopyTo(left);
                                img2.CopyTo(right);

                                byte[] maskBytes = new byte[mask.Rows * mask.Cols];
                                mask.GetArray(0, 0, maskBytes);
                                Cv2.DrawMatches(img1, keypoints1, img2, keypoints2, goodMatchesList, img3, Scalar.All(-1), Scalar.All(-1), maskBytes, DrawMatchesFlags.NotDrawSinglePoints);

                                List<List<Point>> listOfListOfPoint2D = new List<List<Point>>();
                                List<Point> listOfPoint2D = new List<Point>();
                                listOfPoint2D.Add(new Point(sceneCorners[0].X + img1.Cols, sceneCorners[0].Y));
                                listOfPoint2D.Add(new Point(sceneCorners[1].X + img1.Cols, sceneCorners[1].Y));
                                listOfPoint2D.Add(new Point(sceneCorners[2].X + img1.Cols, sceneCorners[2].Y));
                                listOfPoint2D.Add(new Point(sceneCorners[3].X + img1.Cols, sceneCorners[3].Y));
                                listOfListOfPoint2D.Add(listOfPoint2D);
                                img3.Polylines(listOfListOfPoint2D, true, Scalar.LimeGreen, 2);

                                //This works too
                                //Cv2.Line(img3, scene_corners[0] + new Point2d(img1.Cols, 0), scene_corners[1] + new Point2d(img1.Cols, 0), Scalar.LimeGreen);
                                //Cv2.Line(img3, scene_corners[1] + new Point2d(img1.Cols, 0), scene_corners[2] + new Point2d(img1.Cols, 0), Scalar.LimeGreen);
                                //Cv2.Line(img3, scene_corners[2] + new Point2d(img1.Cols, 0), scene_corners[3] + new Point2d(img1.Cols, 0), Scalar.LimeGreen);
                                //Cv2.Line(img3, scene_corners[3] + new Point2d(img1.Cols, 0), scene_corners[0] + new Point2d(img1.Cols, 0), Scalar.LimeGreen);

                                img3.SaveImage("Kaze_Output.png");
                                Window.ShowImages(img3);
                            }
                        }
                    }
                }
            }
        }
开发者ID:CodeSang,项目名称:opencvsharp,代码行数:88,代码来源:KAZESample2.cs


注:本文中的OpenCvSharp.Mat.SaveImage方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。