参考文档:https://www.cnblogs.com/mq0036/p/18302572
using MLNET_Image; using static MLNET_Image.MLModel1;namespace MLNET.Image {public partial class MainForm : Form{public MainForm(){InitializeComponent();}private void btnSelectImage_Click(object sender, EventArgs e){using (OpenFileDialog openFileDialog = new OpenFileDialog()){openFileDialog.Title = "Select Image";openFileDialog.Filter = "Image Files (*.jpg, *.png, *.bmp)|*.jpg;*.png;*.bmp|All Files (*.*)|*.*";if (openFileDialog.ShowDialog() == DialogResult.OK){// 获取用户选择的文件路径string selectedImagePath = openFileDialog.FileName;// 从文件加载图片System.Drawing.Image img = System.Drawing.Image.FromFile(openFileDialog.FileName);this.pictureBox1.Image = img;var imageBytes = File.ReadAllBytes(selectedImagePath);ModelInput sampleData = new MLModel1.ModelInput(){ImageSource = imageBytes,};//Load model and predict outputvar result = MLModel1.Predict(sampleData);var label = result.PredictedLabel;var score = MLModel1.GetSortedScoresWithLabels(result).Where(x => x.Key == label).First().Value; this.lblResult.Text = result.PredictedLabel + " " + score; // 格式化为百分比 }}}} }