工业党福利：使用PaddleX高效实现指针型表计读取系列文章（2）

add_executable(segmenter demo/segmenter.cpp src/transforms.cppsrc/paddlex.cpp src/visualize.cpp)

ADD_library(segmenter SHARED demo/segmenter.cpp src/transforms.cpp src/paddlex.cpp src/visualize.cpp)

#include <glog/logging.h>
#include <omp.h>

#include <algorithm>
#include <chrono>  // NOLINT
#include <fstream>
#include <iostream>
#include <string>
#include <vector>
#include <utility>
#include "include/paddlex/paddlex.h"
#include "include/paddlex/visualize.h"

extern "C" __declspec(dllexport) cv::Mat* LoadModel(char *input, int width, int height);
__declspec(dllexport) cv::Mat* LoadModel(char* input, int width, int height) {
  std::string model_dir = "C:\Users\Admin\Desktop\inference_model";
  std::string key = "";
  int gpu_id = 0;
  bool use_trt = 0;
  bool use_gpu = 0;

  PaddleX::SegResult result;
  cv::Mat im(height, width, CV_8UC3, input);
  //加载模型及创建分割
  PaddleX::Model model;
  model.Init(model_dir, use_gpu, use_trt, gpu_id, key);
  model.predict(im, &result);
  //结果返回
  cv::Mat vis_img = PaddleX::Visualize(im, result, model.labels);
  return new cv::Mat(vis_img);
}

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

namespace PaddleX_dll_test
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }
        [DllImport("segmenter.dll", EntryPoint = "LoadModel", SetLastError = true, CharSet = CharSet.Ansi)]
        static extern IntPtr LoadModel(byte[] input, int height, int width);  //out IntPtr seg_res

        private void Button1_Click(object sender, EventArgs e)
        {
            string image_path = "C:/Users/Admin/Desktop/yalibiao_126.JPG";         
            Bitmap bmp = new Bitmap(image_path);
            pictureBox1.Image = bmp;
            int stride;
            byte[] source = GetBGRValues(bmp, out stride);
            IntPtr seg_img = LoadModel(source, bmp.Width, bmp.Height);  //out seg_img
            Mat img = new Mat(seg_img);
            Bitmap seg_show = new Bitmap(img.Cols, img.Rows, (int)img.Step(), System.Drawing.Imaging.PixelFormat.Format24bppRgb, img.Data);

            pictureBox2.Image = seg_show;
        }
        // 将Btimap类转换为byte[]类函数
        public static byte[] GetBGRValues(Bitmap bmp, out int stride)
        {
            var rect = new Rectangle(0, 0, bmp.Width, bmp.Height);
            var bmpData = bmp.LockBits(rect, System.Drawing.Imaging.ImageLockMode.ReadOnly, bmp.PixelFormat);
            stride = bmpData.Stride;
            var rowBytes = bmpData.Width * Image.GetPixelFormatSize(bmp.PixelFormat) / 8;
            var imgBytes = bmp.Height * rowBytes;
            byte[] rgbValues = new byte[imgBytes];
            IntPtr ptr = bmpData.Scan0;
            for (var i = 0; i < bmp.Height; i++)
            {
                Marshal.Copy(ptr, rgbValues, i * rowBytes, rowBytes); 
                ptr += bmpData.Stride;
            }
            bmp.UnlockBits(bmpData);
            return rgbValues;
        }
    }
}

// C# 代码
//也可设置为可选路径，我这里就直接指定了 
string image_path = "C:/Users/Admin/Desktop/yalibiao_126.JPG";      
Bitmap bmp = new Bitmap(image_path);   
int stride;
byte[] source = GetBGRValues(bmp, out stride);  // 类型转换  bitmap ==> byte[]
...

// 将Btimap类转换为byte[]类
public static byte[] GetBGRValues(Bitmap bmp, out int stride)
        {
            var rect = new Rectangle(0, 0, bmp.Width, bmp.Height);
            var bmpData = bmp.LockBits(rect, System.Drawing.Imaging.ImageLockMode.ReadOnly, bmp.PixelFormat);
            stride = bmpData.Stride;
            var rowBytes = bmpData.Width * Image.GetPixelFormatSize(bmp.PixelFormat) / 8;
            var imgBytes = bmp.Height * rowBytes;
            byte[] rgbValues = new byte[imgBytes];
            IntPtr ptr = bmpData.Scan0;
            for (var i = 0; i < bmp.Height; i++)
            {
                Marshal.Copy(ptr, rgbValues, i * rowBytes, rowBytes); 
                ptr += bmpData.Stride;
            }
            bmp.UnlockBits(bmpData);
            return rgbValues;
        }

//C#代码
static extern IntPtr LoadModel(byte[] input, int height, int width); // LoadModel的类型为IntPtr
...
IntPtr seg_img = LoadModel(source, bmp.Width, bmp.Height);// 传递图像数据：byte[]数组、长、宽,并接收返回值
...


//C++代码
extern "C" __declspec(dllexport) cv::Mat* LoadModel(char *input, int width, int height);//声明为C编译、连接方式的外部函数
__declspec(dllexport) cv::Mat* LoadModel(char* input, int width, int height) // 通过地址返回Mat类型的分割图像结果
...
cv::Mat im(height, width, CV_8UC3, input);  // 由byte[]数组、长、宽和通道数生成Mat类型图像