vs2022环境下，使用c#调用c++生成的dll动态链接库，实现ocr和条形码的识别

最新推荐文章于 2025-11-12 00:15:00 发布

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最新推荐文章于 2025-11-12 00:15:00 发布 · 1.9k 阅读

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#c# #c++ #ocr

基本思想：项目需求，用c++写了一个关于paddleOCR和zbar的条形码检测，最后封装dll文件，利用c#调用。

1、创建一个c++工程，这里需要opencv库，ncnn库，zbar库。

代码结构需要迎合c#调用风格。

main.cpp

#include "connect.h"

int main() {

    cv::Mat image = cv::imread("C:/Users/xxx/source/repos/ocr_barcode/ocr_barcode/captrue.png");
    unsigned char* src = image.data; // C# -> C++ 不能直接传递opencv格式
    const char* dbnet_param = "C:/Users/xxx/Desktop/barcode_ocr(1)/model/pdocrv2.0_det-op.param";
    const char* dbnet_bin = "C:/Users/xxx/Desktop/barcode_ocr(1)/model/pdocrv2.0_det-op.bin";
    const char* crnnnet_param = "C:/Users/xxx/Desktop/barcode_ocr(1)/model/pdocrv2.0_rec-op.param";
    const char* crnnnet_bin = "C:/Users/xxx/Desktop/barcode_ocr(1)/model/pdocrv2.0_rec-op.bin";
    const char* paddle_text = "C:/Users/xxx/Desktop/barcode_ocr(1)/model/paddleocr_keys.txt";

    float boxscorethresh = 0.4;
    float boxthresh = 0.3;
    float unclipratio = 2.0;

    char result_text[10240] = { 0 };

    init_model(dbnet_param, dbnet_bin, crnnnet_param, crnnnet_bin, paddle_text);
    detect_image(src, image.rows, image.cols, boxscorethresh, boxthresh, unclipratio, result_text);
    printf("%s\n", result_text);

    return 0;
}

connect.h

#ifndef BARCODE_OCR_CONNECT_H
#define BARCODE_OCR_CONNECT_H

#include "dbnet.h"
#include "crnnnet.h"
#include "zbarcode.h"

extern "C" __declspec (dllexport) int __stdcall init_model(const char* dbnet_param, const char* dbnet_bin, const char* crnnnet_param,
    const char* crnnnet_bin, const char* paddle_text);

extern "C" __declspec (dllexport) int __stdcall detect_image(unsigned char* ImageBuffer, int height, int wight,
    float boxscorethresh, float boxthresh, float unclipratio, char* result_text);

#endif //BARCODE_OCR_CONNECT_H