markdown
复制代码
Model Properties
-------------------------
---------------------------------------------------------------
Inputs
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name：input.1
tensor：Float[1, 3, 1024, 1024]
---------------------------------------------------------------
Outputs
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name：17728
tensor：Float16[1, 1, 1024, 1024]
---------------------------------------------------------------
ini
复制代码
using Microsoft.ML.OnnxRuntime;
using Microsoft.ML.OnnxRuntime.Tensors;
using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Drawing;
using System.Drawing.Imaging;
using System.Linq;
using System.Windows.Forms;
namespace Onnx_Demo
{
public partial class Form1 : Form
{
public Form1()
{
InitializeComponent();
}
string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";
string image_path = "";
string startupPath;
DateTime dt1 = DateTime.Now;
DateTime dt2 = DateTime.Now;
string model_path;
Mat image; // 原始图像（BGR）
Mat result_image_with_alpha; // 最终带有透明背景的图像
SessionOptions options;
InferenceSession onnx_session;
Tensor<float> input_tensor;
List<NamedOnnxValue> input_container;
IDisposableReadOnlyCollection<DisposableNamedOnnxValue> result_infer;
DisposableNamedOnnxValue[] results_onnxvalue;
Tensor<Float16> result_tensors;
int inpHeight, inpWidth;
private void button1_Click(object sender, EventArgs e)
{
OpenFileDialog ofd = new OpenFileDialog();
ofd.Filter = fileFilter;
if (ofd.ShowDialog() != DialogResult.OK) return;
pictureBox1.Image = null;
image_path = ofd.FileName;
pictureBox1.Image = new Bitmap(image_path);
textBox1.Text = "";
image = new Mat(image_path);
pictureBox2.Image = null;
}
private void button2_Click(object sender, EventArgs e)
{
if (image_path == "")
{
return;
}
button2.Enabled = false;
pictureBox2.Image = null;
textBox1.Text = "";
Application.DoEvents();
// 读取原始图像（BGR）
image = new Mat(image_path);
int originalWidth = image.Cols;
int originalHeight = image.Rows;
// ------------------ 预处理 ------------------
// 1. 转换为RGB
Mat rgb = new Mat();
Cv2.CvtColor(image, rgb, ColorConversionCodes.BGR2RGB);
// 2. Resize到模型输入尺寸（1024x1024）
Mat resized = new Mat();
Cv2.Resize(rgb, resized, new OpenCvSharp.Size(inpWidth, inpHeight));
// 3. 转换为浮点并归一化到 [0,1]
resized.ConvertTo(resized, MatType.CV_32FC3, 1.0 / 255.0);
// 4. 将HWC转换为CHW顺序，并构建输入张量
int height = inpHeight;
int width = inpWidth;
Mat[] channels = Cv2.Split(resized); // 三个通道分别：R, G, B
List<float> dataList = new List<float>();
for (int c = 0; c < 3; c++)
{
float[] channelData = new float[height * width];
System.Runtime.InteropServices.Marshal.Copy(channels[c].Data, channelData, 0, height * width);
dataList.AddRange(channelData);
}
float[] inputData = dataList.ToArray();
input_tensor = new DenseTensor<float>(inputData, new[] { 1, 3, height, width });
// 将输入放入容器
input_container.Clear();
input_container.Add(NamedOnnxValue.CreateFromTensor("input.1", input_tensor));
// ------------------ 推理 ------------------
dt1 = DateTime.Now;
result_infer = onnx_session.Run(input_container);
dt2 = DateTime.Now;
// 获取输出
results_onnxvalue = result_infer.ToArray();
result_tensors = results_onnxvalue[0].AsTensor<Float16>();
int[] outShape = result_tensors.Dimensions.ToArray();
int outChannels = outShape.Length == 4 ? outShape[1] : 1; // 通常第2维是通道数
int outH = outShape.Length == 4 ? outShape[2] : outShape[1];
int outW = outShape.Length == 4 ? outShape[3] : outShape[2];
Float16[] predHalf = result_tensors.ToArray();
float[] predFloat = predHalf.Select(x => (float)x).ToArray();
// 创建 OpenCV 单通道 Mat（CV_32FC1）
Mat outputMat = new Mat(outH, outW, MatType.CV_32FC1, predFloat);
// ------------------ 后处理 ------------------
// 1. 双线性插值到原始尺寸
Mat maskResized = new Mat();
Cv2.Resize(outputMat, maskResized, new OpenCvSharp.Size(originalWidth, originalHeight), interpolation: InterpolationFlags.Linear);
// 2. Min-Max 归一化到 [0,1]
double minVal, maxVal;
Cv2.MinMaxLoc(maskResized, out minVal, out maxVal);
Mat maskNorm = new Mat();
if (maxVal - minVal > 1e-8)
{
maskResized.ConvertTo(maskNorm, MatType.CV_32FC1, 1.0 / (maxVal - minVal), -minVal / (maxVal - minVal));
}
else
{
// 防止除以零
maskNorm = maskResized.Clone();
}
// 3. 转换为8位单通道（alpha通道）
Mat alphaMask = new Mat();
maskNorm.ConvertTo(alphaMask, MatType.CV_8UC1, 255.0);
//Cv2.ImShow("maskNorm", maskNorm);
// ------------------ 合成透明背景图像 ------------------
// 原始图像（BGR）转为 BGRA
Mat rgba = new Mat();
Cv2.CvtColor(image, rgba, ColorConversionCodes.BGR2BGRA);
// 替换 alpha 通道
Mat[] bgraChannels = Cv2.Split(rgba);
bgraChannels[3] = alphaMask; // 第四通道为 alpha
Cv2.Merge(bgraChannels, rgba);
// 保存最终结果，以便后续保存时使用
result_image_with_alpha = rgba.Clone();
// 显示最终图像（PictureBox 支持透明背景，但可能需要设置 BackColor）
pictureBox2.Image = new Bitmap(rgba.ToMemoryStream());
textBox1.Text = "推理耗时:" + (dt2 - dt1).TotalMilliseconds + "ms";
button2.Enabled = true;
}
private void Form1_Load(object sender, EventArgs e)
{
startupPath = System.Windows.Forms.Application.StartupPath;
model_path = "model/BEN2_Base.onnx";
// 创建会话，使用 CPU（可根据需要改为 CUDA）
options = new SessionOptions();
options.LogSeverityLevel = OrtLoggingLevel.ORT_LOGGING_LEVEL_INFO;
options.AppendExecutionProvider_CPU(0);
onnx_session = new InferenceSession(model_path, options);
input_container = new List<NamedOnnxValue>();
// 设置模型输入尺寸
inpHeight = 1024;
inpWidth = 1024;
// 测试图片路径（可选）
image_path = "test_img/1.jpg";
if (System.IO.File.Exists(image_path))
{
pictureBox1.Image = new Bitmap(image_path);
image = new Mat(image_path);
}
}
private void pictureBox1_DoubleClick(object sender, EventArgs e)
{
Common.ShowNormalImg(pictureBox1.Image);
}
private void pictureBox2_DoubleClick(object sender, EventArgs e)
{
Common.ShowNormalImg(pictureBox2.Image);
}
SaveFileDialog sdf = new SaveFileDialog();
private void button3_Click(object sender, EventArgs e)
{
if (result_image_with_alpha == null || result_image_with_alpha.Empty())
{
MessageBox.Show("请先进行推理！");
return;
}
sdf.Title = "保存透明背景图片";
sdf.Filter = "PNG图片 (*.png)|*.png|JPEG图片 (*.jpg)|*.jpg|BMP图片 (*.bmp)|*.bmp";
sdf.FilterIndex = 1; // 默认 PNG，保留透明度
if (sdf.ShowDialog() == DialogResult.OK)
{
string ext = System.IO.Path.GetExtension(sdf.FileName).ToLower();
ImageFormat format = ImageFormat.Png;
if (ext == ".jpg" || ext == ".jpeg")
format = ImageFormat.Jpeg;
elseif (ext == ".bmp")
format = ImageFormat.Bmp;
// 将 Mat 转换为 Bitmap 并保存
using (var stream = result_image_with_alpha.ToMemoryStream())
using (var bitmap = new Bitmap(stream))
{
bitmap.Save(sdf.FileName, format);
}
MessageBox.Show("保存成功，位置：" + sdf.FileName);
}
}
}
}
