C#与Python 通过共享内存实现tiff图像交互

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第一种方法：共享内存只存tiff图像里的灰度信息

using System;
using System.IO;
using System.IO.MemoryMappedFiles;
using System.Runtime.InteropServices;
using System.Windows;
using System.Windows.Media.Imaging;
namespace WpfApp1
{
    /// <summary>
    /// MainWindow.xaml 的交互逻辑
    /// </summary>
    public partial class MainWindow : Window
    {
        public MainWindow()
        {
            InitializeComponent();
        }
        private void Button_Click(object sender, RoutedEventArgs e)
        {
            try
            {
                Stream imageStreamSource = new FileStream("test.tif", FileMode.Open, FileAccess.Read, FileShare.Read);
                var decoder = new TiffBitmapDecoder(imageStreamSource, BitmapCreateOptions.PreservePixelFormat, BitmapCacheOption.Default);
                BitmapSource bitmapSource = decoder.Frames[0];
                Int32 PixelHeight = bitmapSource.PixelHeight; // 图像高度
                Int32 PixelWidth = bitmapSource.PixelWidth;   // 图像宽度
                Int32 Stride = (PixelWidth * bitmapSource.Format.BitsPerPixel + 7) / 8;  // 跨距宽度
                UInt16[] imgBuffer = new UInt16[PixelHeight * PixelWidth];//创建图像灰度值数据所需的数组
                bitmapSource.CopyPixels(imgBuffer, Stride, 0);//读取灰度值到数组
                //16位灰度转化成8位
                byte[] bytes = new byte[2048 * 2048 * 2];
                IntPtr intptr = Marshal.UnsafeAddrOfPinnedArrayElement(imgBuffer, 0);
                Marshal.Copy(intptr, bytes, 0, 2048 * 2048 * 2);
                //向共享内存写入灰度值数据
                var mmf = MemoryMappedFile.CreateOrOpen("test1", bytes.Length, MemoryMappedFileAccess.ReadWrite);
                var viewAccessor = mmf.CreateViewAccessor(0, bytes.Length);
                viewAccessor.Write(0, bytes.Length); ;
                viewAccessor.WriteArray<byte>(0, bytes, 0, bytes.Length);
                MessageBox.Show("write ok" + bytes.Length.ToString());
            }
            catch (System.Exception s)
            {
                MessageBox.Show(s.Message);
            }
        }
    }
}

#!/usr/bin/env python
# _*_ coding:utf-8 _*_
import contextlib
import mmap
import numpy as np

# tif图像像素宽度2048高度2048，位深16bit,故一张图像的字节大小为2048*2048*2
byteSize = 2048 * 2048 * 2

with contextlib.closing(mmap.mmap(-1, byteSize, tagname="test1", access=mmap.ACCESS_READ)) as m:
    m.tell()
    s = m.read()
    a = np.frombuffer(s, dtype=np.uint16).reshape(2048, 2048)  # 转换为二维元组
    print(a)

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