EasyOCR-CPP/DLLUsageDemo/DLLUsageDemo.cpp

// DLLUsageDemo.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

#include <set>
#include <iostream>
#include "LibEasyOCR-CPP.h"
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <range/v3/view/enumerate.hpp>
#include <opencv2/photo/photo.hpp>
#include <opencv2/features2d.hpp>

static const std::set<char> validate_vin_chars = { '0','1','2','3','4','5','6','7','8','9','A','B','C','D','E','F','G','H','J','K','L','M','N','P','R','S','T','U','V','W','X','Y','Z' };

std::string PreProcessVIN(const std::string& vin)
{
	std::string res;
	for (const auto& chr : vin)
	{
		if ((chr == 'i') || (chr == 'I'))
			res.push_back('1');
		else if ((chr == 'o') || (chr == 'O'))
			res.push_back('0');
		else if (chr == 'q')
			res.push_back('9');
		else if (chr == 'Q')
			res.push_back('0');
		else if (validate_vin_chars.count(toupper(chr)) >= 1)
			res.push_back(toupper(chr));
	}
	return res;
}

void RecognizeSingleImage(const std::string& img, int image_no)
{
	cv::Mat image = cv::imread(img);
	if (image.empty())
	{
		std::cout << "RSI: Unable to read image" << std::endl;
		return;
	}

	//cv::blur(image, image, cv::Size(3, 3));

	// 1. 灰度
	cv::Mat gray;
	cv::cvtColor(image, gray, cv::COLOR_BGR2GRAY);

	// 2. 去高光（inpaint）
	cv::Mat mask = gray > 240;
	cv::inpaint(gray, mask, gray, 5, cv::INPAINT_TELEA);

	// 3. 伽马校正（弱化阴影）
	cv::Mat lut(1, 256, CV_8U);
	const float gamma = 0.8f;
	for (int i = 0; i < 256; i++) 
		lut.at<uchar>(i) = cv::saturate_cast<uchar>(std::pow(i / 255.0, gamma) * 255);
	cv::LUT(gray, lut, gray);

	// 4. CLAHE 局部对比度增强
	cv::Ptr<cv::CLAHE> clahe = cv::createCLAHE(2.0, cv::Size(8, 8));
	clahe->apply(gray, gray);

	 // 2. 形态学 Top-hat & Black-hat 提取高频细节
	cv::Mat kernel = cv::getStructuringElement(
		cv::MORPH_RECT, cv::Size(15, 15));
	cv::Mat tophat, blackhat;
	cv::morphologyEx(gray, tophat, cv::MORPH_TOPHAT, kernel);
	cv::morphologyEx(gray, blackhat, cv::MORPH_BLACKHAT, kernel);

	// 3. 高频增强：原图 + tophat - blackhat
	cv::Mat enhanced;
	enhanced = gray + tophat - blackhat;

	// 4. 平滑降噪
	cv::GaussianBlur(enhanced, enhanced, cv::Size(3, 3), 0);

	// 5. 全局 Otsu 阈值
	cv::Mat bw;
	cv::threshold(
		enhanced, bw,
		0, 255,
		cv::THRESH_BINARY | cv::THRESH_OTSU
	);
	// 保证文字白底黑字
	double m = cv::mean(bw.row(bw.rows / 2))[0];
	if (m < 128) cv::bitwise_not(bw, bw);

	// 6. 小核闭运算补笔画断裂
	cv::morphologyEx(
		bw, bw,
		cv::MORPH_CLOSE,
		cv::getStructuringElement(
			cv::MORPH_RECT, cv::Size(3, 3)
		),
		cv::Point(-1, -1), 1
	);

	// 7. 小核开运算去孤立噪点
	cv::morphologyEx(
		bw, bw,
		cv::MORPH_OPEN,
		cv::getStructuringElement(
			cv::MORPH_RECT, cv::Size(3, 3)
		),
		cv::Point(-1, -1), 1
	);

	// 8. 转三通道输出
	cv::Mat finalBGR;
	cv::cvtColor(bw, finalBGR, cv::COLOR_GRAY2BGR);

	cv::Mat output = finalBGR.clone();

	cv::imshow("Processed Image " + std::to_string(image_no), output);
	cv::imwrite("G:\\Users\\15819\\Desktop\\temp\\Processed Image " + std::to_string(image_no) + ".jpg", output);

	auto results = uns::EasyOCR_CPP::FullAuto(image);
	for (const auto& [index, info] : results)
	{
		const auto& [text, conf, rect] = info;
		std::string a_text = uns::EOCR_SupportTools::WtoA(text);
		std::string processed_vin = PreProcessVIN(a_text);
		printf("RSI(%d): Result %d: Text = {%s(%d) -> |%s|(%d)}, Box = [%d, %d, %d, %d], Confidence = %.3f\n", image_no, (int)index, a_text.c_str(), (int)a_text.length(), processed_vin.c_str(), (int)processed_vin.length(), rect.tl().x, rect.tl().y, rect.br().x, rect.br().y, conf);
	}
	if (results.empty())
		printf("RSI(%d): No Text Found\n", image_no);
}

int main()
{
	std::wstring detect_model = L"..\\EasyOCR-CPP\\DetectionModel.onnx";
	std::wstring recognize_model = L"..\\EasyOCR-CPP\\RecognitionModel-EN.onnx";

	std::vector<std::string> images =
	{
		"G:\\Users\\15819\\Desktop\\error\\UPLOAD-20250709184942-99F24141-6C0A31D2.jpg",
		"G:\\Users\\15819\\Desktop\\error\\UPLOAD-20250709185025-99F24141-A56037A2.jpg",
		"G:\\Users\\15819\\Desktop\\error\\UPLOAD-20250709185205-99F24141-1D0C341A.jpg",
		"G:\\Users\\15819\\Desktop\\error\\UPLOAD-20250709185450-99F24141-EC43D7FD.jpg",
		"G:\\Users\\15819\\Desktop\\error\\UPLOAD-20250708185403-99F24141-1F2233FA.jpg",
		"G:\\Users\\15819\\Desktop\\error\\UPLOAD-20250708184942-99F24141-C138BA94.jpg"
	};

	uns::EasyOCR_CPP::GlobalOCRConfig().SetDetectModelPath(detect_model);
	uns::EasyOCR_CPP::GlobalOCRConfig().SetGPUUsage(uns::easyocr::GPUUsage::CPUOnly);
	uns::EasyOCR_CPP::SetRecognitionModel(recognize_model, uns::easyocr::CharsetType::EN);

	if (!uns::EasyOCR_CPP::InitDetectionModel())
	{
		std::cout << "Detector Init Failure!" << std::endl;
		return -1;
	}
	if (!uns::EasyOCR_CPP::InitRecognitionModel())
	{
		std::cout << "Recognizer Init Failure!" << std::endl;
		return -2;
	}

	for (auto&& [index, file] : images | ranges::views::enumerate)
		RecognizeSingleImage(file, static_cast<int>(index));

	cv::waitKey(0);
	uns::EasyOCR_CPP::CleanupOCR();
	return 0;
}

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