C# OpenCvSharp 部署MOWA：多合一图像扭曲模型

摘要：extern "C" _declspec(dllexport) int __cdecl init(void** engine, char* model_dir,char* msg);

算法模型的paper名称是《MOWA: Multiple-in-One Image Warping Model》

ariv链接 https://arxiv.org/pdf/2404.10716

Stitched Image

翻译成中文意思是：拼接图像。效果图如下，可以看到输入原图的边界是不规则的，在经过模型推理之后输出的图的边界是规整了。

Rectified Wide-Angle Image

翻译成中文意思是：矫正广角图像。效果图如下，可以看到输入原图的左右上下边界是扭曲的，在经过模型推理之后输出的图的边界是规整了。

Unrolling Shutter Image

翻译成中文意思是：卷帘快门图像。效果图如下，可以看到输入原图的右边界是弯曲的，在经过模型推理之后输出的图的边界是规整了。

Rotated Image

翻译成中文意思是：旋转图像。效果图如下，可以看到输入原图是有明显倾斜的，在经过模型推理之后输出的图是摆正了。

Fisheye Image

翻译成中文意思是：鱼眼图像。效果图如下，可以看到输入原图里的建筑物有明显扭曲的，在经过模型推理之后输出的图里的建筑物是正直的了。

using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Diagnostics;
using System.Drawing;
using System.Drawing.Imaging;
using System.Linq;
using System.Runtime.InteropServices;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;

namespace MOWA
{
public partial class Form1 : Form
{
publicForm1
{
InitializeComponent;
}

Stopwatch stopwatch = new Stopwatch;
Mat image;
Mat mask;
Mat mesh_img;
Mat grid_mesh_img;
Mat flow_img;

string image_path;
string mask_path;
string startupPath;
string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";
const string DllName = "MOWASharp.dll";
IntPtr engine;

/*
//初始化
extern "C" _declspec(dllexport) int __cdecl init(void** engine, char* model_dir,char* msg);

//detect
extern "C" _declspec(dllexport) int __cdecl detect(void* engine, Mat* srcimg, Mat* maskimg, char* msg, Mat* mesh_img, Mat* grid_mesh_img, Mat* flow_img);

//释放
extern "C" _declspec(dllexport) void __cdecl destroy(void* engine);

*/

[DllImport(DllName, EntryPoint = "init", CallingConvention = CallingConvention.Cdecl)]
internal extern static int init(ref IntPtr engine, string model_dir, StringBuilder msg);

[DllImport(DllName, EntryPoint = "detect", CallingConvention = CallingConvention.Cdecl)]
internal extern static int detect(IntPtr engine, IntPtr srcimg, IntPtr maskimg, StringBuilder msg, IntPtr mesh_img, IntPtr grid_mesh_img, IntPtr flow_img);

[DllImport(DllName, EntryPoint = "destroy", CallingConvention = CallingConvention.Cdecl)]
internal extern static int destroy(IntPtr engine);

private void Form1_Load(object sender, EventArgs e)
{
startupPath = Application.StartupPath;

string model_dir = startupPath + "\\model\\";

StringBuilder msg = new StringBuilder(512);

int res = init(ref engine, model_dir, msg);
if(res == -1)
{
MessageBox.Show(msg.ToString);
return;
}
else
{
Console.WriteLine(msg.ToString);
}
image_path = startupPath + "\\test_img\\39501.png";
pictureBox1.Image = new Bitmap(image_path);

mask_path = startupPath + "\\test_img\\39501_mask.png";
pictureBox3.Image = new Bitmap(mask_path);
}

private void Form1_FormClosed(object sender, FormClosedEventArgs e)
{
destroy(engine);
}

private void button2_Click(object sender, EventArgs e)
{
if(image_path == "" || mask_path == "")
{
return;
}

textBox1.Text = "执行中……";
button2.Enabled =false;
if(pictureBox2.Image != )
{
pictureBox2.Image.Dispose;
pictureBox2.Image = ;
}
Application.DoEvents;

Cv2.DestroyAllWindows;
if(image != ) image.Dispose;
if(mask != ) mask.Dispose;
if(mesh_img != ) mesh_img.Dispose;
if(grid_mesh_img != ) grid_mesh_img.Dispose;
if(flow_img != ) flow_img.Dispose;

image = new Mat(image_path);
mask = new Mat(mask_path,ImreadModes.Grayscale);
mesh_img = new Mat;
grid_mesh_img = new Mat;
flow_img = new Mat;

stopwatch.Restart;

int res = detect(engine, image.CvPtr, mask.CvPtr, msg, mesh_img.CvPtr, grid_mesh_img.CvPtr, flow_img.CvPtr);
if(res == 0)
{
stopwatch.Stop;
double costTime = stopwatch.Elapsed.TotalMilliseconds;
pictureBox2.Image = new Bitmap(flow_img.ToMemoryStream);
Cv2.ImShow("mesh_img", mesh_img);
Cv2.ImShow("grid_mesh_img", grid_mesh_img);
textBox1.Text = $"耗时:{costTime:F2}ms";
}
else
{
textBox1.Text = "失败," + msg.ToString;
}
button2.Enabled =true;
}

private void button1_Click(object sender, EventArgs e)
{
OpenFileDialog ofd = new OpenFileDialog;
ofd.Filter = fileFilter;
ofd.InitialDirectory = startupPath + "\\test_img";
if(ofd.ShowDialog != DialogResult.OK)return;

pictureBox1.Image = ;

textBox1.Text = "";

image_path = ofd.FileName;

}

private void button4_Click(object sender, EventArgs e)
{

ofd.InitialDirectory = startupPath+"\\test_img";
ifreturn;

pictureBox3.Image = ;

textBox1.Text = "";

mask_path = ofd.FileName;

mask = new Mat(image_path);
}

private void button3_Click(object sender, EventArgs e)
{
if(pictureBox2.Image == )
{
return;
}
Bitmap output = new Bitmap(pictureBox2.Image);
var sdf = new SaveFileDialog;
sdf.Title = "保存";
sdf.Filter = "Images (*.jpg)|*.jpg|Images (*.png)|*.png|Images (*.bmp)|*.bmp";
if(sdf.ShowDialog == DialogResult.OK)
{
switch (sdf.FilterIndex)
{
case1:
{
output.Save(sdf.FileName, ImageFormat.Jpeg);
break;
}
case2:
{
output.Save(sdf.FileName, ImageFormat.Png);
break;
}
case3:
{
output.Save(sdf.FileName, ImageFormat.Bmp);
break;
}
}
MessageBox.Show("保存成功，位置：" + sdf.FileName);
}
}
}
}

来源：opendotnet

标签：模型 opencvsharp mowa

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