PaddleX C# deploy分割模型部署问题

paddlex==2.0.0 cuda ==10.2 paddlepaddle==2.1 根据文档进行dll的导出，参考了文档里面的分割模型代码 https://github.com/PaddlePaddle/PaddleX/tree/develop/deploy/cpp/docs/csharp_deploy

出现一下问题：

我的语义分割模型是基于paddlex训练的UNet模型，

C#代码： byte[] color_map = get_color_map_list(256); string model_type = "seg"; string model_filename = "F:\PaddleData2\semantic_seg\segmodel\unet\inference_model\inference_model\model.pdmodel"; string params_filename = "F:\PaddleData2\semantic_seg\segmodel\unet\inference_model\inference_model\model.pdiparams"; string cfg_file = "F:\PaddleData2\semantic_seg\segmodel\unet\inference_model\inference_model\model.yml";

        bool use_gpu = true;
        int gpu_id = 0;

        InitModel(model_type, model_filename, params_filename, cfg_file, use_gpu, gpu_id, ref paddlex_model_type[0]);

        string img_file = "F:\\PaddleData2\\semantic_seg\\dataset\\data_seg\\JPEGImages\\horse001.jpg";


        Bitmap origin_bmp = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(Cv2.ImRead(img_file));
        Bitmap input_bmp = null;

        // resize()
        OpenCvSharp.Mat input_mat = OpenCvSharp.Extensions.BitmapConverter.ToMat(origin_bmp);
        OpenCvSharp.Mat output_mat = OpenCvSharp.Extensions.BitmapConverter.ToMat(origin_bmp);

        Cv2.Resize(input_mat, output_mat, new OpenCvSharp.Size(512, 512));
        input_bmp = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(output_mat);
        input_mat = null;
        output_mat = null;

        byte[] inputData = GetBGRValues(input_bmp, out int stride);

        byte[] output_map = new byte[input_bmp.Height * input_bmp.Width];    

        TimeSpan infer_start_time = new TimeSpan(DateTime.Now.Ticks);
                
        Seg_ModelPredict(inputData, input_bmp.Width, input_bmp.Height, 3, ref output_map[0]);
        TimeSpan infer_end_time = new TimeSpan(DateTime.Now.Ticks);

                
        input_bmp = CreateBitmap(output_map, input_bmp.Width, input_bmp.Height, color_map); 

        input_mat = OpenCvSharp.Extensions.BitmapConverter.ToMat(input_bmp);
        output_mat = OpenCvSharp.Extensions.BitmapConverter.ToMat(input_bmp); 
        Cv2.Resize(input_mat, output_mat, new OpenCvSharp.Size(origin_bmp.Width, origin_bmp.Height)); 
        input_mat = null;  

        input_mat = OpenCvSharp.Extensions.BitmapConverter.ToMat(origin_bmp); 

        Cv2.AddWeighted(output_mat, 0.5, input_mat, 0.35, 1, output_mat);  
        input_bmp = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(output_mat);

                
        if (pictureBox1.Image != null) pictureBox1.Image.Dispose();
        pictureBox1.Image = origin_bmp; 
        pictureBox1.SizeMode = PictureBoxSizeMode.Zoom; 

        if (pictureBox2.Image != null) pictureBox2.Image.Dispose();
        pictureBox2.Image = input_bmp;
        pictureBox2.SizeMode = PictureBoxSizeMode.Zoom;