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C# Mat.Get方法代码示例

本文整理汇总了C#中OpenCvSharp.Mat.Get方法的典型用法代码示例。如果您正苦于以下问题:C# Mat.Get方法的具体用法?C# Mat.Get怎么用?C# Mat.Get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.Get方法的3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: Run

        public void Run()
        {
            Console.WriteLine("===== FlannTest =====");

            // creates data set
            using (var features = new Mat(10000, 2, MatType.CV_32FC1))
            {
                var rand = new Random();
                for (int i = 0; i < features.Rows; i++)
                {
                    features.Set<float>(i, 0, rand.Next(10000));
                    features.Set<float>(i, 1, rand.Next(10000));
                }

                // query
                var queryPoint = new Point2f(7777, 7777);
                var queries = new Mat(1, 2, MatType.CV_32FC1);
                queries.Set<float>(0, 0, queryPoint.X);
                queries.Set<float>(0, 1, queryPoint.Y);
                Console.WriteLine("query:({0}, {1})", queryPoint.X, queryPoint.Y);
                Console.WriteLine("-----");

                // knnSearch
                using (var nnIndex = new Index(features, new KDTreeIndexParams(4)))
                {
                    const int Knn = 1;
                    int[] indices;
                    float[] dists;
                    nnIndex.KnnSearch(queries, out indices, out dists, Knn, new SearchParams(32));

                    for (int i = 0; i < Knn; i++)
                    {
                        int index = indices[i];
                        float dist = dists[i];
                        var pt = new Point2f(features.Get<float>(index, 0), features.Get<float>(index, 1));
                        Console.Write("No.{0}\t", i);
                        Console.Write("index:{0}", index);
                        Console.Write(" distance:{0}", dist);
                        Console.Write(" data:({0}, {1})", pt.X, pt.Y);
                        Console.WriteLine();
                    }
                }
            }
            Console.Read();
        }
开发者ID:CodeSang,项目名称:opencvsharp,代码行数:45,代码来源:FlannSample.cs

示例2: Run

        public void Run()
        {
            Mat src = Cv2.ImRead(FilePath.Image.Lenna, ImreadModes.GrayScale);

            // Histogram view
            const int Width = 260, Height = 200;
            Mat render = new Mat(new Size(Width, Height), MatType.CV_8UC3, Scalar.All(255));

            // Calculate histogram
            Mat hist = new Mat();
            int[] hdims = {256}; // Histogram size for each dimension
            Rangef[] ranges = { new Rangef(0,256), }; // min/max 
            Cv2.CalcHist(
                new Mat[]{src}, 
                new int[]{0}, 
                null,
                hist, 
                1, 
                hdims, 
                ranges);
  
            // Get the max value of histogram
            double minVal, maxVal;
            Cv2.MinMaxLoc(hist, out minVal, out maxVal);

            Scalar color = Scalar.All(100);
            // Scales and draws histogram
            hist = hist * (maxVal != 0 ? Height / maxVal : 0.0);
            for (int j = 0; j < hdims[0]; ++j)
            {
                int binW = (int)((double)Width / hdims[0]);
                render.Rectangle(
                    new Point(j * binW, render.Rows),
                    new Point((j + 1) * binW, render.Rows - (int)(hist.Get<float>(j))),
                    color, 
                    -1);
            }

            using (new Window("Image", WindowMode.AutoSize | WindowMode.FreeRatio, src))
            using (new Window("Histogram", WindowMode.AutoSize | WindowMode.FreeRatio, render))
            {
                Cv2.WaitKey();
            }
        }
开发者ID:JiphuTzu,项目名称:opencvsharp,代码行数:44,代码来源:HistSample.cs

示例3: Run

        /// <summary>
        /// Classical Multidimensional Scaling
        /// </summary>
        public void Run()
        {
            // creates distance matrix
            int size = CityDistance.GetLength(0);
            Mat t = new Mat(size, size, MatType.CV_64FC1, CityDistance);
            // adds Torgerson's additive constant to t
            double torgarson = Torgerson(t);
            t += torgarson;
            // squares all elements of t
            t = t.Mul(t);

            // centering matrix G
            Mat g = CenteringMatrix(size);
            // calculates inner product matrix B
            Mat b = g * t * g.T() * -0.5;
            // calculates eigenvalues and eigenvectors of B
            Mat values = new Mat();
            Mat vectors = new Mat();
            Cv2.Eigen(b, values, vectors);
            for (int r = 0; r < values.Rows; r++)
            {
                if (values.Get<double>(r) < 0)
                    values.Set<double>(r, 0);
            }

            //Console.WriteLine(values.Dump());

            // multiplies sqrt(eigenvalue) by eigenvector
            Mat result = vectors.RowRange(0, 2);
            {
                var at = result.GetGenericIndexer<double>();
                for (int r = 0; r < result.Rows; r++)
                {
                    for (int c = 0; c < result.Cols; c++)
                    {
                        at[r, c] *= Math.Sqrt(values.Get<double>(r));
                    }
                }
            }

            // scaling
            Cv2.Normalize(result, result, 0, 800, NormTypes.MinMax);

            // opens a window
            using (Mat img = Mat.Zeros(600, 800, MatType.CV_8UC3))
            using (Window window = new Window("City Location Estimation"))
            {
                var at = result.GetGenericIndexer<double>();
                for (int c = 0; c < size; c++)
                {
                    double x = at[0, c];
                    double y = at[1, c];
                    x = x * 0.7 + img.Width * 0.1;
                    y = y * 0.7 + img.Height * 0.1;
                    img.Circle((int)x, (int)y, 5, Scalar.Red, -1);
                    Point textPos = new Point(x + 5, y + 10);
                    img.PutText(CityNames[c], textPos, HersheyFonts.HersheySimplex, 0.5, Scalar.White);
                }
                window.Image = img;
                Cv2.WaitKey();
            }
        }
开发者ID:JiphuTzu,项目名称:opencvsharp,代码行数:65,代码来源:MDS.cs


注:本文中的OpenCvSharp.Mat.Get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。