C#Winfrom和PYTHON接入腾讯云OCR

程序基本目的是实现提取图片中的文字。做了一个winfrom界面，接了腾讯云的OCR图片识别。
这里接入文档就不给出了，想看的直接去腾讯云看接入文档即可。

由于想做跨平台的应用。分析了接入文档，并且之前想做一个web界面接口的，但是无奈javascript技术不到家，表单传递时的header头问题迟迟没有解决。
所有就在我的网站里弄了一个接口来计算我的Authorization，计算方法是直接采用腾讯给出的标准文档中的方法。直接把计算结果echo到web上。
而我windows上采用的是C#编程。主要想法就是先使用HTTPREQUEST方法做一个简单的爬虫。具体方法在我之前的博客《C#使用Winfrom编程时的注意事项》有讲过到。具体链接:https://blog.csdn.net/qq_27180763/article/details/82949365
主要还是卡在了header传值的问题。由于Authorization不是标准Header值，需要采用别的方式来进行传递。这是比较需要注意的。
这个地方我主要采用了Content-Type=application/x-www-form-urlencoded,用POST方法把上传文件到腾讯云的API接口，然后接受返回值而已。
接受的时候也要注意，由于收到的信息是JSON码的形式，需要自己下载一个Newtonsoft.Json.dll的文件，并加入解决方案的引用当中。然后命名空间引用

using Newtonsoft.Json;
using Newtonsoft.Json.Linq;

这样就可以直接使用JObject对象来转换string型的json对象。并采用json标准来进行对象的访问。

C# Winfrom的界面就不具体放出，我先给出C#的代码。

Windows下的代码

using Newtonsoft.Json.Linq;
using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Net;
using System.Text;
using System.Threading;
using System.Windows.Forms;namespace PDF转WORD
{public partial class Form2 : Form{private string filename="";public Form2(){InitializeComponent();System.Windows.Forms.Control.CheckForIllegalCrossThreadCalls = false;this.Text = "图片转PDF";}private void button1_Click(object sender, EventArgs e){OpenFileDialog fileDialog = new OpenFileDialog();fileDialog.Multiselect = true;fileDialog.Title = "请选择文件";fileDialog.Filter = "(*jpg*)|*.jpg*||(*.jpg*)||*.*";if (fileDialog.ShowDialog() == DialogResult.OK){string file = fileDialog.FileName;filename = file;label2.Text = filename.ToString();MessageBox.Show("选择成功！");}}private void POST_DATA() {HttpWebRequest req = (HttpWebRequest)WebRequest.Create(new Uri(@"我的web服务器"));req.Method = "POST";req.UserAgent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:62.0) Gecko/20100101 Firefox/62.0";req.ContentType = "application/x-www-form-urlencoded";req.Accept = "application/json";string result1 = "";StringBuilder builder = new StringBuilder();byte[] data = Encoding.UTF8.GetBytes(builder.ToString());req.ContentLength = data.Length;using (Stream reqStream = req.GetRequestStream()){ reqStream.Write(data, 0, data.Length); reqStream.Close(); }HttpWebResponse resp = (HttpWebResponse)req.GetResponse();Stream stream = resp.GetResponseStream();//获取响应内容         using (StreamReader reader = new StreamReader(stream, Encoding.UTF8)){ result1 = reader.ReadToEnd(); }HttpWebRequest webReq = (HttpWebRequest)WebRequest.Create(new Uri("http://recognition.image.myqcloud.com/ocr/general"));Stream memStream = new MemoryStream();webReq.Method = "POST";string boundary = "--------------" + DateTime.Now.Ticks.ToString("x");// 边界符 webReq.ContentType = "multipart/form-data; boundary=" + boundary;byte[] enter = Encoding.ASCII.GetBytes("\r\n");  //换行memStream.Write(enter, 0, enter.Length);Dictionary<string, string> dic = new Dictionary<string, string>(){{"appid","你的APPID"}};//写入文本字段string inputPartHeaderFormat = "--" + boundary + "\r\n" + "Content-Disposition:form-data;name=\"{0}\";" + "\r\n\r\n{1}\r\n";foreach (var kv in dic){string inputPartHeader = string.Format(inputPartHeaderFormat, kv.Key, kv.Value);var inputPartHeaderBytes = Encoding.ASCII.GetBytes(inputPartHeader);memStream.Write(inputPartHeaderBytes, 0, inputPartHeaderBytes.Length);}var fileStream = new FileStream(filename, FileMode.Open, FileAccess.Read);// 写入文件 string imagePartHeader = "--" + boundary + "\r\n" +"Content-Disposition: form-data; name=\"{0}\"; filename=\"{1}\"\r\n" +"Content-Type: image/jpeg\r\n\r\n";var header = string.Format(imagePartHeader, "image", "1.jpg");var headerbytes = Encoding.UTF8.GetBytes(header);memStream.Write(headerbytes, 0, headerbytes.Length);var buffer = new byte[1024];int bytesRead;while ((bytesRead = fileStream.Read(buffer, 0, buffer.Length)) != 0){memStream.Write(buffer, 0, bytesRead);}byte[] endBoundary = Encoding.ASCII.GetBytes("xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" + "\r\n" + boundary + "--\r\n");memStream.Write(endBoundary, 0, endBoundary.Length);webReq.ContentLength = memStream.Length;webReq.Headers.Add(HttpRequestHeader.Authorization, result1);webReq.Host = "recognition.image.myqcloud.com";var requestStream = webReq.GetRequestStream();memStream.Position = 0;memStream.CopyTo(requestStream);HttpWebResponse response = (HttpWebResponse)webReq.GetResponse();StreamReader sr = new StreamReader(response.GetResponseStream(), Encoding.UTF8);var ret = sr.ReadToEnd();sr.Close();response.Close();requestStream.Close();memStream.Close();JObject content_info = JObject.Parse(ret);
//这里就是主要的对返回的json的处理了for (int i = 0; i < content_info["data"]["items"].Count(); i++){try{richTextBox1.AppendText(content_info["data"]["items"][i]["itemstring"].ToString());}catch (Exception e){MessageBox.Show(e.ToString());}}}private void button2_Click(object sender, EventArgs e){if(filename!=""){Thread th1 = new Thread(POST_DATA);th1.IsBackground = true;th1.Start();}else {MessageBox.Show("请先选择图片。", "提示！");}}private void button3_Click(object sender, EventArgs e){filename = "";if (filename == ""){label2.Text = "暂未选择图片";MessageBox.Show("清空成功！");}}private void button4_Click(object sender, EventArgs e){richTextBox1.Clear();}}
}

以上就是主要界面的代码。而主界面的代码就不再放出，我先给出windows下的实验效果。（照片带水印）

Windows下的效果

LINUX上的代码实现（ubuntu）

用python实现的，所以代码比较简洁。主要用到的函数库为requests
没什么需要注意的==毕竟python比较简单。直接安装官方给的文档设置image和header就可以了。话不多说直接上代码QWQ

#!/usr/bin/env python
#encoding=utf-8
import re
import sys,os
import requests
def GetAuthorization():html = requests.post(url="我的WEB服务器地址")html = html.textinfo = html.split("\n")return info[1].replace("\n","")Authorization = str(GetAuthorization().replace("\n","").replace("\r",""))
def createRequest(filepath):global Authorizationheaders = {'host':'recognition.image.myqcloud.com','Authorization':Authorization}files = {'appid':(None,'你的appid'),'image':('1.jpg',open(filepath,'rb'),'image/jpeg')}r = requests.post("http://recognition.image.myqcloud.com/ocr/general", files=files,headers=headers)  responseinfo = r.contentdata = responseinfo.decode('utf-8')print data   r_index = r'itemstring":"(.*?)"'result = re.findall(r_index, data)for i in result:print(i)def main():createRequest(sys.argv[1])if __name__ == '__main__':main()

程序的第一个参数就是你要上传文件的绝对路径==就是一个普通脚本，没有什么很大的技术难度。
我要处理的照片还是上面那张，现在给出扫描结果。

LINUX下的效果图