swigger / wechat-ocr

wcocr: demonstrate how to use WeChatOCR.exe

Great thanks to IEEE by his Project IEEE/QQImpl] and article. This project is based on it.

This project reduced the product size by using protobuf-lite instead of protobuf, and provided a direct Python interface for calling in sync mode.

To use this project, you need to prepare the wechatocr.exe and the wechat folder. For example, wechatocr.exe might be:

C:\Users\yourname\AppData\Roaming\Tencent\WeChat\XPlugin\Plugins\WeChatOCR\7061\extracted\WeChatOCR.exe

and the wechat folder might be:

C:\Program Files (x86)\Tencent\WeChat\[3.9.8.25]

C++ interface

You can use the following code to test it:

CWeChatOCR ocr(wechatocr_path, wechat_path);
if (!ocr.wait_connection(5000)) {
	// error handling
}
CWeChatOCR::result_t result;
ocr.doOCR("D:\\test.png", &result);

You can also pass nullptr to the second parameter of doOCR to call in async mode and wait the callback. In this case, you need to subclass CWeChatOCR and implement the virtual function OnOCRResult.

Python interface

Rename the built wcocr.dll to wcocr.pyd and put it in the same directory as test.py. You can use the following code to test it:

import wcocr
wcocr.init(wechatocr_path, wechat_path)
result = wcocr.ocr("D:\\test.png")

Currently, the python interface only supports sync mode.

Java interface

• see java/Test.java
• I'm not so familiar with java and don't know how to pass complex data structures, so I just passed a JSON string from cpp to java.
• The added DLL export function wechat_ocr can also be used in other scenarios.

C Sharp (C#) interface

• see c_sharp folder.
• It's important to ensure the built dll is copied to the folder test_cs.exe in! always copy the 64bit version dll!
• It's ok to built a 32bit test_cs.exe and copy the 32bit dll, you can try.