SciSharp/community

   static SciSharp.Models.IImageClassificationTask task ;
   tensorflow tf = new tensorflow();
   SciSharp.Models.ModelWizard wizard = new SciSharp.Models.ModelWizard();

    public void Predict(string PascImage) {

        var img_bgr = CvInvoke.Imread(PascImage, Emgu.CV.CvEnum.ImreadModes.Color);

        Mat output = new Mat();

        CvInvoke.CvtColor(img_bgr, output, Emgu.CV.CvEnum.ColorConversion.  Bgr2Rgb);

        var output1 = output.ToImage<Rgb,byte>().Resize(299,299,Emgu.CV.CvEnum.Inter.Linear);

        output1.ToUMat().ConvertTo(output, Emgu.CV.CvEnum.DepthType.Cv32F, 1.0f / 255.0f);  

        NDArray imgR = np.array(output.GetData()  ,TF_DataType.TF_FLOAT);

        //keras.backend.clear_session();

        Tensor tensorr  = tf.convert_to_tensor( imgR);

        var img_final = tf.expand_dims(tensorr, 0);


        //predict image
        if (task == null) {
            task = wizard.AddImageClassificationTask<TransferLearning>(new SciSharp.Models.TaskOptions{
                ModelPath = @"image_classification_v1\saved_model.pb"
            }
             );}

        //works well but only from the file
        //var imgPath = Path.Join(PascImage);
        //input = SciSharp.Models.ImageUtil.ReadImageFromFile(imgPath);

        SciSharp.Models.ModelPredictResult result = task.Predict(img_final);
    }