paddleocr C++生成dll

编译完成后修改内容:

ocr.h%E5%A4%B4%E6%96%87%E4%BB%B6-toc" style="margin-left:80px;">新建ppocr.h头文件

ocr.h%E9%9C%80%E8%A6%81%E5%86%8D%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E4%B8%AD%E5%8C%85%E5%90%AB%E8%BF%9B%E5%8E%BB%E5%A4%B4%E6%96%87%E4%BB%B6-toc" style="margin-left:80px;">注释掉main.cpp内全部内容，将下面内容替换进去。ppocr.h需要再环境配置中包含进去头文件

然后更改配置信息，将exe换成dll

随后右击重新编译会在根目录生成dll,lib文件。

注意这些dll一个也不能少。生成dll后，重新在vs中新建一个C++项目

内容如下：

编译完成后修改内容:

ocr.h%E5%A4%B4%E6%96%87%E4%BB%B6">新建ppocr.h头文件

#pragma once
#include <vector>
#include <string>#ifndef IMAGE_API
#define IMAGE_APIstruct TextDetectionResult {std::vector<std::vector<int>> boxes;
};struct TextRecognitionResult {std::string text;double score;};extern "C" {// 图像推理__declspec(dllexport) void ImageProcess(const char* image_dir, TextDetectionResult*** detection_results, int* num_detection_results,TextRecognitionResult*** recognition_results, int* num_recognition_results);/*__declspec(dllexport) void FreeMemory(TextDetectionResult** detection_results, int num_detection_results,TextRecognitionResult** recognition_results, int num_recognition_results);*/
}
#endif

ocr.h%E9%9C%80%E8%A6%81%E5%86%8D%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E4%B8%AD%E5%8C%85%E5%90%AB%E8%BF%9B%E5%8E%BB%E5%A4%B4%E6%96%87%E4%BB%B6">注释掉main.cpp内全部内容，将下面内容替换进去。ppocr.h需要再环境配置中包含进去头文件

#include <iostream>
#include <include/paddleocr.h>
#include <include/args.h>
#include "ppocr.h"using namespace PaddleOCR;// 处理图片的函数
void ImageProcess(const char* image_dir, TextDetectionResult*** detection_results, int* num_detection_results,TextRecognitionResult*** recognition_results, int* num_recognition_results)
{std::cout << "--------" << image_dir << "-------" << std::endl;std::string dir(image_dir);std::replace(dir.begin(), dir.end(), '/', '\\');std::cout << "--------" << dir << "-------" << std::endl;std::vector<cv::String> cv_all_img_names;cv::glob(image_dir, cv_all_img_names);std::cout << "total images num: " << cv_all_img_names.size() << endl;PPOCR ocr = PPOCR();std::cout << "begin process" << std::endl;std::vector<std::vector<OCRPredictResult>> ocr_results = ocr.ocr(cv_all_img_names, FLAGS_det, FLAGS_rec, FLAGS_cls);std::cout << "finish process" << std::endl;auto ocr_result = ocr_results[0];std::vector<TextDetectionResult> detectionResults;std::vector<TextRecognitionResult> recognitionResults;for (int i = 0; i < ocr_result.size(); i++) {if (ocr_result[i].score != -1.0) {TextDetectionResult detectionResult;detectionResult.boxes = ocr_result[i].box;TextRecognitionResult recognitionResult;recognitionResult.text = ocr_result[i].text;recognitionResult.score = ocr_result[i].score;detectionResults.push_back(detectionResult);recognitionResults.push_back(recognitionResult);}}*num_detection_results = detectionResults.size();*detection_results = new TextDetectionResult * [*num_detection_results];for (int i = 0; i < *num_detection_results; i++) {(*detection_results)[i] = new TextDetectionResult(detectionResults[i]);}*num_recognition_results = recognitionResults.size();*recognition_results = new TextRecognitionResult * [*num_recognition_results];for (int i = 0; i < *num_recognition_results; i++) {(*recognition_results)[i] = new TextRecognitionResult(recognitionResults[i]);}std::cout << "in the end" << std::endl;if (*num_recognition_results == 0) {std::cout << "result is null" << std::endl;}///*c*/onst char* img_dir = "E:\paddlepaddle\projects\PaddleOCR-release-2.5\deploy\cpp_infer\qt_project\qt4ocr\imgs\1.jpg";cv::Mat srcimg = cv::imread(dir, cv::IMREAD_COLOR);if (!srcimg.data) {std::cerr << "[ERROR] image read failed! image path: "<< endl;exit(1);}std::string file_name = Utility::basename(image_dir);Utility::VisualizeBboxes(srcimg, ocr_results[0],FLAGS_output + file_name);std::cout << "***************************" << endl;}void FreeMemory(TextDetectionResult** detection_results, int num_detection_results,TextRecognitionResult** recognition_results, int num_recognition_results)
{for (int i = 0; i < num_detection_results; i++) {delete detection_results[i];}delete[] detection_results;for (int i = 0; i < num_recognition_results; i++) {delete recognition_results[i];}delete[] recognition_results;
}

然后更改配置信息，将exe换成dll

随后右击重新编译会在根目录生成dll,lib文件。

注意这些dll一个也不能少。生成dll后，重新在vs中新建一个C++项目

内容如下：

#include <iostream>
#include <vector>
#include <string>
#include <Windows.h>struct TextDetectionResult {std::vector<std::vector<int>> boxes;
};struct TextRecognitionResult {std::string text;double score;
};typedef void (*ImageProcessFunc)(const char* image_dir, TextDetectionResult*** detection_results, int* num_detection_results,TextRecognitionResult*** recognition_results, int* num_recognition_results);void FreeMemory(TextDetectionResult** detection_results, int num_detection_results,TextRecognitionResult** recognition_results, int num_recognition_results)
{for (int i = 0; i < num_detection_results; i++) {delete detection_results[i];}delete[] detection_results;for (int i = 0; i < num_recognition_results; i++) {delete recognition_results[i];}delete[] recognition_results;
}int main()
{system("chcp 65001");const char* image_dir = "C:\\Users\\lenovo\\source\\repos\\test_dll\\test_dll//1234.jpg";const char* dll_path = "C:\\Users\\lenovo\\source\\repos\\test_dll\\test_dll/ppocr.dll";HMODULE hModule = LoadLibraryA(dll_path);if (hModule == NULL) {std::cout << "Failed to load the DLL." << std::endl;return 1;}ImageProcessFunc ImageProcess = (ImageProcessFunc)GetProcAddress(hModule, "ImageProcess");if (ImageProcess == NULL) {std::cout << "Failed to get the function address." << std::endl;FreeLibrary(hModule);return 1;}TextDetectionResult** detection_results = nullptr;int num_detection_results = 0;TextRecognitionResult** recognition_results = nullptr;int num_recognition_results = 0;ImageProcess(image_dir, &detection_results, &num_detection_results, &recognition_results, &num_recognition_results);if (num_detection_results > 0) {std::cout << "get the result" << std::endl;for (int i = 0; i < num_detection_results; i++) {std::vector<std::vector<int>> boxes = detection_results[i]->boxes;std::cout << "det boxes: [";for (int n = 0; n < boxes.size(); n++) {std::cout << '[' << boxes[n][0] << ',' << boxes[n][1] << "]";if (n != boxes.size() - 1) {std::cout << ',';}}std::string recognitionResult = recognition_results[i]->text;std::cout << "] " << "  " << " recognition text : " << recognitionResult << std::endl;}}std::cout << "begin clear" << std::endl;// 释放内存FreeMemory(detection_results, num_detection_results, recognition_results, num_recognition_results);// 卸载 DLLFreeLibrary(hModule);std::cout << "clear over" << std::endl;return 0;
}

需要更改输出目录，添加连接器，并将项目里需要的内容一并放入输出目录中

结果展示：

结语：

只提供解决方案，非无偿解答问题。

===================2024.4.28日修改==============

新增release2.7版本修改内容

mian.cpp内容 2.7及以后版本 ocr.ocr函数内容传参变为img_list, FLAGS_det, FLAGS_rec, FLAGS_cls。所以将mian函数修改一下重新定义一个img_list 这个团队的源码里面也有。其他与之前的内容保持一致。

#include <iostream>
#include <include/paddleocr.h>
#include <include/args.h>
#include "ooccrr.h"using namespace PaddleOCR;
// 处理图片的函数
void ImageProcess(const char* image_dir, TextDetectionResult*** detection_results, int* num_detection_results,TextRecognitionResult*** recognition_results, int* num_recognition_results)
{std::cout << "--------" << image_dir << "-------" << std::endl;std::string dir(image_dir);std::replace(dir.begin(), dir.end(), '/', '\\');std::cout << "--------" << dir << "-------" << std::endl;std::vector<cv::String> cv_all_img_names;cv::glob(image_dir, cv_all_img_names);std::cout << "total images num: " << cv_all_img_names.size() << std::endl;PPOCR ocr = PPOCR();std::cout << "begin process" << std::endl;//PPOCR::ocr(std::vector<cv::Mat> img_list, bool det, bool rec, bool cls)std::vector<cv::Mat> img_list;std::vector<cv::String> img_names;for (int i = 0; i < cv_all_img_names.size(); ++i) {cv::Mat img = cv::imread(cv_all_img_names[i], cv::IMREAD_COLOR);if (!img.data) {std::cerr << "[ERROR] image read failed! image path: "<< cv_all_img_names[i] << std::endl;continue;}img_list.push_back(img);img_names.push_back(cv_all_img_names[i]);}std::vector<std::vector<OCRPredictResult>> ocr_results = ocr.ocr(img_list, FLAGS_det, FLAGS_rec, FLAGS_cls);std::cout << "finish process" << std::endl;auto ocr_result = ocr_results[0];std::vector<TextDetectionResult> detectionResults;std::vector<TextRecognitionResult> recognitionResults;for (int i = 0; i < ocr_result.size(); i++) {if (ocr_result[i].score != -1.0) {TextDetectionResult detectionResult;detectionResult.boxes = ocr_result[i].box;TextRecognitionResult recognitionResult;recognitionResult.text = ocr_result[i].text;recognitionResult.score = ocr_result[i].score;detectionResults.push_back(detectionResult);recognitionResults.push_back(recognitionResult);}}*num_detection_results = detectionResults.size();*detection_results = new TextDetectionResult * [*num_detection_results];for (int i = 0; i < *num_detection_results; i++) {(*detection_results)[i] = new TextDetectionResult(detectionResults[i]);}*num_recognition_results = recognitionResults.size();*recognition_results = new TextRecognitionResult * [*num_recognition_results];for (int i = 0; i < *num_recognition_results; i++) {(*recognition_results)[i] = new TextRecognitionResult(recognitionResults[i]);}std::cout << "in the end" << std::endl;if (*num_recognition_results == 0) {std::cout << "result is null" << std::endl;}///*c*/onst char* img_dir = "E:\paddlepaddle\projects\PaddleOCR-release-2.5\deploy\cpp_infer\qt_project\qt4ocr\imgs\1.jpg";cv::Mat srcimg = cv::imread(dir, cv::IMREAD_COLOR);if (!srcimg.data) {std::cerr << "[ERROR] image read failed! image path: "<< std::endl;exit(1);}std::string file_name = Utility::basename(image_dir);Utility::VisualizeBboxes(srcimg, ocr_results[0],FLAGS_output + file_name);std::cout << "***************************" << std::endl;}void FreeMemory(TextDetectionResult** detection_results, int num_detection_results,TextRecognitionResult** recognition_results, int num_recognition_results)
{for (int i = 0; i < num_detection_results; i++) {delete detection_results[i];}delete[] detection_results;for (int i = 0; i < num_recognition_results; i++) {delete recognition_results[i];}delete[] recognition_results;
}