ImageInferWithHalcon.cs

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/*
This sample demonstrates the complete process of inference based on an 
instance segmentation model that takes HObject images as input. In this sample, the HObject data structure of images is converted into MMindImage, and the contours are converted into 
HALCON contours for storage.
*/



using System;
using System.Collections.Generic;
using HalconDotNet;
using MMind.DL;
class ImageInferWithHalcon
{
    static void Main()
    {
        const string kPackPath = "./resources/InstanceSegmentation/instance_segmentation_model.dlkpack";
        const string kImagePath = "./resources/InstanceSegmentation/instance_segmentation_image.jpg";
        const int kDiviceId = 0;

        HObject hImage;
        HOperatorSet.ReadImage(out hImage, kImagePath);
        MMindImage image = HalconTools.HObjectConvertToMMindImage(hImage);
        List<MMindImage> images = new List<MMindImage> { image };
        InferEngine inferEngine = new InferEngine();
        inferEngine.Create(kPackPath, BackendType.GpuDefault, kDiviceId);
        inferEngine.Infer(images);

        List<Result> results;
        inferEngine.GetResults(out results);
        HObject hRegion1 = new HObject();

        hRegion1 = HalconTools.MMindDLContourToHObject(results[0].ObjectAndInsResults[0].InsMaskContours);
        HOperatorSet.WriteRegion(hRegion1, "./contour.hobj");
        inferEngine.ResultVisualization(images);
        image.Show("result");
        inferEngine.Release();
    }
}