用C#实战深度学习项目：PaddleSeg分割模型在C#下部署

using System;
using System.IO;
using System.Runtime.InteropServices;
using OpenCvSharp;
using fastdeploy;

namespace inferdemo
{
	class Program
	{
		static void Main(string[] args)
		{
            string model_dir="model\\PP_LiteSeg_B_STDC2_cityscapes_without_argmax_infer";
            string image_path = "model\\cityscapes_demo.png";
            string model_file = model_dir + "\\" + "model.pdmodel";
            string params_file = model_dir + "\\" + "model.pdiparams";
            string config_file = model_dir + "\\" + "deploy.yaml";
            RuntimeOption runtimeoption = new RuntimeOption();



            runtimeoption.UseGpu();
         

            fastdeploy.vision.segmentation.PaddleSegModel model = new fastdeploy.vision.segmentation.PaddleSegModel(model_file, params_file, config_file, runtimeoption, ModelFormat.PADDLE);
           
            if (!model.Initialized())
            {
                Console.WriteLine("Failed to initialize.\n");
            }
            Mat image = Cv2.ImRead(image_path);
            
            fastdeploy.vision.SegmentationResult res = model.Predict(image);
          

            Console.WriteLine(res.ToString());
            Mat res_img = fastdeploy.vision.Visualize.VisSegmentation(image, res, 0.5f);
            Cv2.ImShow("result.png", res_img);
            Cv2.WaitKey(10000);
        }
	}
}