This code works fine with SharpCV 0.7.0 but cannot compile with the newer versions:
Cannot implicitly convert type 'Tensorflow.NumPy.NDArray' to 'NumSharp.NDArray'

        public static NumSharp.NDArray _AsNDArray0(this OpenCvSharp.Mat mat)
        {
            return new SharpCV.Mat(mat.CvPtr).GetData();
        }

This is a 10 times slower alternative for the ones who have to use SharpCV > 0.7.0

       public static NumSharp.NDArray AsNDArray_slow(this OpenCvSharp.Mat mat)
        {
            var matType = mat.Type();
            var channels = mat.Channels();
            var size = mat.Rows * mat.Cols * channels;
            var shape = channels == 1 ? new Shape(mat.Rows, mat.Cols) : new Shape(mat.Rows, mat.Cols, channels);
            if (matType == MatType.CV_32SC1 || matType == MatType.CV_32SC2)
            {
                var managedArray = new int[size];
                Marshal.Copy(mat.Data, managedArray, 0, size);
                var aslice = ArraySlice.FromArray(managedArray);
                return new NumSharp.NDArray(aslice, shape);
            }
            if (matType == MatType.CV_32FC1)
            {
                var managedArray = new float[size];
                Marshal.Copy(mat.Data, managedArray, 0, size);
                var aslice = ArraySlice.FromArray(managedArray);
                return new NumSharp.NDArray(aslice, shape);
            }
            if (matType == MatType.CV_64FC1)
            {
                var managedArray = new double[size];
                Marshal.Copy(mat.Data, managedArray, 0, size);
                var aslice = ArraySlice.FromArray(managedArray);
                return new NumSharp.NDArray(aslice, shape);
            }
            if (matType == MatType.CV_8UC1 || matType == MatType.CV_8UC3 || matType == MatType.CV_8UC4)
            {
                var managedArray = new byte[size];
                Marshal.Copy(mat.Data, managedArray, 0, size);
                var aslice = ArraySlice.FromArray(managedArray);
                return new NumSharp.NDArray(aslice, shape);
            }

            throw new Exception($"mat data type = {matType} is not supported");
        }

I'm trying to use F# with SharpCV but it throws an exception.

Sometime, the image file is loaded, but most of the functions I've tried to call throws a SEHException.

◢ | Results View | Expanding the Results View will enumerate the IEnumerable |  
  | Empty | "Enumeration yielded no results" | string

at SharpCV.cv2_native_api.imgproc_cvtColor(IntPtr src, IntPtr dst, Int32 code, Int32 dstCnt)
at SharpCV.cv_api.cvtColor(Mat img, ColorConversionCodes code, Int32 dstCnt)
at Program.main(String[] argv) in D:\projects\fs-sci\FlowerCv\FlowerCv\Program.fs:line 7

Hello and thank you for creating SharpCV. Could you please provide a few F# examples in the readme? Because I'm having trouble getting SharpCV to work in F#. Thank you!

Hi,

Is there a way to apply Sobel operator to the image? I cant see any method for that.

BR\ Piyush

Please add more libraries openCV
hi cv.Sobel to SharpCV not find
and ConvertScaleAbs and AddWeighted

Hi, There are few methods not available in SharpCV but present in OpenCVSharp.

Since SharpCV uses internally OpenCVSharp, is there a way we can convert SharpCV Mat to OpenCVSharp Mat?

Hello,
Im working with some other opencv.net wrappers and currently eyeing this one to use it in XR experiments using Unity engine for easy graphics and physics.
Since mostly XR projects involve cordless and mobile devices and most of them are using ARM processors im asking if this library is flexible enough to be ported to other platforms.

New OpenCV 4.50 is licensed under Apache 2.0 , older under BSD 3 clause, NumSharp under Apache 2.0 .
Why use one of the least favourite license of open source world? LGPL3 + static permissiveness would suffice.

How can I convert the below python line into SharpCv:
np.column_stack(np.where(mat > 0))

I cant see column_stack method here, also the where method is not available.

Thanks in advance.

Is there any way to convert MAT to memory stream?

When I try to access the pixel value:
byte p = img[8, 8];

It shows:
System.DllNotFoundException:“无法加载 DLL“tensorflow”: 找不到指定的模块。 (异常来自 HRESULT:0x8007007E)。”

I have a 250x250 image that is loaded into an NDArray that uses three channels, so the dimensions of the NDArray are (250, 250, 3).

It looks like the Mat object only takes in a 2D NDArray. Is there any way I can initialize a Mat object with this NDArray, or can it be added to the constructor for Mat to allow 3-Dimensional NDArrays?

        [TestMethod]
        public void imcrop()
        {
            var img = cv2.imread(imgSolar);
            var cropped = cv2.imcrop(img, (1, 3), (1, 3));
            cv2.imwrite("cropped.jpg", cropped);
        }

python version: https://www.pyimagesearch.com/2014/01/20/basic-image-manipulations-in-python-and-opencv-resizing-scaling-rotating-and-cropping/

The Mat can be convert to NumSharp NDArray by SharpCV,
how to convert NumSharp.NDArray to Numpy.NDarray?
The Keras.Net uses the Numpy.NDarray.

I get the following error after installing SharpCV through the NuGet package manager in VS2019 upon building project. I replicated this twice. After uninstalling SharpCV, the error remains intact. Thanks!

Severity Code Description Project File Line Suppression State
Warning There was a mismatch between the processor architecture of the project being built "MSIL" and the processor architecture of the reference "Tensorflow.Binding, Version=0.70.0.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=AMD64", "AMD64". This mismatch may cause runtime failures. Please consider changing the targeted processor architecture of your project through the Configuration Manager so as to align the processor architectures between your project and references, or take a dependency on references with a processor architecture that matches the targeted processor architecture of your project.

The reason why i want to do this is because i like the "completeness" of OpenCvSharp compare to SharpCv and fantantic syntax/flexible of SharpCv when working with NDArray and Tensor. So i want to use OpenCvSharp to do all of the image processing stuff => convert OpenCvSharp.Mat to Sharp.Mat => working with NDArray/Tensor stuff. Any ideas ?

I have an image that is loaded in memory that I need to get into a Mat object.

Can cv2.imdecode() be implemented as it is in OpenCvSharp? It looks like this was already partly implemented in cv2_native_api.imgcodecs.cs with the imgcodecs_imdecode_vectors() method.

This would be simple to implement by adding the following to cv2,imgcodecs.cs

    public Mat imdecode(byte[] buf, IMREAD_COLOR flags = IMREAD_COLOR.IMREAD_COLOR)
    {
        cv2_native_api.imgcodecs_imdecode_vector(buf, new IntPtr(buf.Length), (int) flags, out var handle);
        return new Mat(handle);
    }

I current use SharpCV but applycolor map funtion removed !

When you call the function it throws this error:

System.Runtime.InteropServices.SEHException (0x80004005): External component has thrown an exception.
   at SharpCV.cv2_native_api.highgui_imshow(String winName, IntPtr mat)
   at SharpCV.cv_api.imshow(String windownName, Mat img)

Example:

i think the only problem in SharpCv is it implements only a very small subset of opencv functionaility,
but the OpencvSharp is more complete .

how can i those together?