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 output var 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 } } } } }
标签:ML,Image,MLModel1,openFileDialog,result,图像,var,using,NET From: https://www.cnblogs.com/chen1880/p/18681613