commit

OpenCVDetect.sln

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+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Version 17
+VisualStudioVersion = 17.4.33110.190
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "OpenCVDetect", "OpenCVDetect\OpenCVDetect.vcxproj", "{DA0BC610-9F31-4F0F-B9E2-5A3D3FCFC0EF}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|x64 = Debug|x64
+		Debug|x86 = Debug|x86
+		Release|x64 = Release|x64
+		Release|x86 = Release|x86
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+		{DA0BC610-9F31-4F0F-B9E2-5A3D3FCFC0EF}.Debug|x64.Build.0 = Debug|x64
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+		{DA0BC610-9F31-4F0F-B9E2-5A3D3FCFC0EF}.Debug|x86.Build.0 = Debug|Win32
+		{DA0BC610-9F31-4F0F-B9E2-5A3D3FCFC0EF}.Release|x64.ActiveCfg = Release|x64
+		{DA0BC610-9F31-4F0F-B9E2-5A3D3FCFC0EF}.Release|x64.Build.0 = Release|x64
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+		{DA0BC610-9F31-4F0F-B9E2-5A3D3FCFC0EF}.Release|x86.Build.0 = Release|Win32
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+EndGlobal

OpenCVDetect/OpenCVDetect.cpp

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+#include <opencv2/opencv.hpp>
+#include <opencv2/xfeatures2d.hpp>
+#include <iostream>
+#include <fstream>
+#include <vector>
+#include <filesystem>
+
+using namespace cv;
+using namespace cv::xfeatures2d;
+using namespace std;
+using namespace std::filesystem;
+
+const auto detector = SIFT::create();
+/// <summary>
+/// 提取图片特征描述符
+/// </summary>
+/// <param name="image">待提取图片路径</param>
+/// <param name="output">保存描述符路径</param>
+void process_image(const path& image, const path& output) {
+	ofstream fs(output.string().c_str());
+	if (!fs.is_open()) {
+		cout << "create file error!";
+	}
+	fs.close();
+
+	Mat input_image = imread(image.string());
+
+	vector<KeyPoint> keypoints_cat;
+
+	Mat descriptor_cat, descriptor_smallCat;
+	detector->detectAndCompute(input_image, Mat(), keypoints_cat, descriptor_cat);
+
+	Mat convert;
+
+	if (descriptor_cat.type() != CV_32F)
+	{
+		descriptor_cat.convertTo(convert, CV_32F, 1.0 / 255, 0);
+	}
+	else
+	{
+		convert = descriptor_cat;
+	}
+
+	imwrite(output.string(), convert);
+}
+
+void deep_copy(const path& src, const path& des) {
+	if (is_regular_file(src)) {
+		auto d = des.string().substr(0, des.string().size() - 3) + "png\0";
+
+		process_image(src, path(d));
+		return;
+	}
+
+	if (!exists(des)) {
+		create_directories(des);
+	}
+
+	for (auto& it : directory_iterator(src)) {
+		string current = it.path().lexically_relative(it.path().parent_path()).string();
+		path des_next(des);
+		deep_copy(it.path(), des_next /= current);
+	}
+}
+
+int main(int argc, char** argv) {
+	string input_dir = "D:\\Work\\Cards";
+	//string output_dir = "D:\\Work\\Outputs";
+	string output_dir = "D:\\Work\\SIFT";
+
+	path input_dir_path(input_dir.c_str());
+	path output_dir_path(output_dir.c_str());
+
+	if (!exists(input_dir_path)) {
+		cout << "请设置正确的卡片存放路径" << endl;
+	}
+
+	if (exists(output_dir_path)) {
+		remove_all(output_dir_path);
+	}
+	else {
+		create_directories(output_dir_path);
+	}
+
+	directory_entry input_entry(input_dir_path);
+
+	assert(input_entry.status().type() == file_type::directory);
+
+	copy(input_dir_path, output_dir_path);
+
+	deep_copy(input_dir_path, output_dir_path);
+
+	return 0;
+}

OpenCVDetect/OpenCVDetect.vcxproj

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OpenCVDetect/OpenCVDetect.vcxproj.filters

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OpenCVDetect/OpenCVDetect.vcxproj.user

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OpenCVDetect/x64/Debug/OpenCVDetect.Build.CppClean.log

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OpenCVDetect/x64/Debug/OpenCVDetect.exe.recipe

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OpenCVDetect/x64/Debug/OpenCVDetect.log

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