show_windows.cpp

本文提供了一个使用 C 语言编写的示例代码片段,展示了如何通过 Windows API 函数 GetWindowsDirectory 和 GetSystemDirectory 获取 Windows 目录和系统目录,并将其显示在窗口中。

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  name="google_ads_frame" marginwidth="0" marginheight="0" src="http://pagead2.googlesyndication.com/pagead/ads?client=ca-pub-5572165936844014&dt=1194442938015&lmt=1194190197&format=336x280_as&output=html&correlator=1194442937843&url=file%3A%2F%2F%2FC%3A%2FDocuments%2520and%2520Settings%2Flhh1%2F%E6%A1%8C%E9%9D%A2%2FCLanguage.htm&color_bg=FFFFFF&color_text=000000&color_link=000000&color_url=FFFFFF&color_border=FFFFFF&ad_type=text&ga_vid=583001034.1194442938&ga_sid=1194442938&ga_hid=1942779085&flash=9&u_h=768&u_w=1024&u_ah=740&u_aw=1024&u_cd=32&u_tz=480&u_java=true" frameborder="0" width="336" scrolling="no" height="280" allowtransparency="allowtransparency"> #include <genstub.c>

LRESULT CALLBACK WndProc(HWND hWnd, UINT uMsg, WPARAM wParam, LPARAM lParam)
{
   switch (uMsg)
   {
         case WM_COMMAND:
               switch ( LOWORD( wParam ) )
               {
                     case IDM_TEST:
                     {
                           char szBuffer[MAX_PATH + 21];
                           DWORD dwcNameSize = MAX_PATH + 1;
                           HDC hDC = GetDC( hWnd );

                           lstrcpy( szBuffer, "Windows Directory: " );
                           GetWindowsDirectory( &szBuffer[19], (UINT) dwcNameSize );
                           TextOut( hDC, 0, 20, szBuffer, strlen( szBuffer ) );
                           lstrcpy( szBuffer, "System Directory: " );
                           GetSystemDirectory( &szBuffer[18], (UINT) dwcNameSize );
                           TextOut( hDC, 0, 40, szBuffer, strlen( szBuffer ) );

                           ReleaseDC( hWnd, hDC );
                     }
                     break;
                     case IDM_EXIT:
                           DestroyWindow( hWnd );
                           break;
               }
               break;
         case WM_DESTROY:
               PostQuitMessage( 0 );
               break;
         default:
               return (DefWindowProc(hWnd, uMsg, wParam, lParam));
   }
   return (NULL);
}

/usr/local/clion-2025.1.2/bin/cmake/linux/x64/bin/cmake --build /home/hdy/CLionProjects/untitled/cmake-build-release --target untitled -j 6 [2/2] Linking CXX executable untitled FAILED: untitled : && /usr/bin/c++ -O3 -DNDEBUG -Wl,--dependency-file=CMakeFiles/untitled.dir/link.d CMakeFiles/untitled.dir/main.cpp.o -o untitled -Wl,-rpath,/usr/local/lib:/usr/lib/x86_64-linux-gnu/openmpi/lib /usr/local/lib/libopencv_gapi.so.4.8.0 /usr/local/lib/libopencv_highgui.so.4.8.0 /usr/local/lib/libopencv_ml.so.4.8.0 /usr/local/lib/libopencv_objdetect.so.4.8.0 /usr/local/lib/libopencv_photo.so.4.8.0 /usr/local/lib/libopencv_stitching.so.4.8.0 /usr/local/lib/libopencv_video.so.4.8.0 /usr/local/lib/libopencv_videoio.so.4.8.0 -lfltk /usr/lib/x86_64-linux-gnu/openmpi/lib/libmpi.so -lsqlite3 -ldl -lpthread /usr/local/lib/libopencv_imgcodecs.so.4.8.0 /usr/local/lib/libopencv_dnn.so.4.8.0 /usr/local/lib/libopencv_calib3d.so.4.8.0 /usr/local/lib/libopencv_features2d.so.4.8.0 /usr/local/lib/libopencv_flann.so.4.8.0 /usr/local/lib/libopencv_imgproc.so.4.8.0 /usr/local/lib/libopencv_core.so.4.8.0 && : /usr/bin/ld: CMakeFiles/untitled.dir/main.cpp.o: in function `pngDisplay(Fl_Box*, Fl_Image*, char*)': main.cpp:(.text+0x27): undefined reference to `Fl_PNG_Image::Fl_PNG_Image(char const*)' /usr/bin/ld: CMakeFiles/untitled.dir/main.cpp.o: in function `main': main.cpp:(.text.startup+0x9): undefined reference to `fl_register_images()' collect2: error: ld returned 1 exit status ninja: build stopped: subcommand failed.
06-24
<think>我们正在解决一个链接错误:undefinedreferenceto`Fl_PNG_Image'和`fl_register_images'。这些符号属于FLTK库(FastLightToolkit),通常发生在同时使用OpenCV和FLTK的项目中,因为链接器无法找到FLTK的相关实现。###错误原因分析1.**缺少链接库**:项目配置中未正确链接FLTK库。2.**链接顺序问题**:链接库的顺序不正确,导致符号解析失败。3.**FLTK库未安装**:系统中未安装FLTK开发包。4.**库版本不匹配**:安装的FLTK版本与编译选项不兼容。###解决方案####步骤1:确认FLTK库已安装在终端中运行以下命令检查FLTK开发包:```bash#Ubuntu/Debiandpkg-l|greplibfltk#或者使用查找文件的方式find/usr-name'libfltk*.so'```如果未安装,请安装:```bashsudoapt-getinstalllibfltk1.3-dev#对于Ubuntu/Debian```####步骤2:在构建系统中添加FLTK链接选项以CMake为例,修改`CMakeLists.txt`:```cmakefind_package(FLTKREQUIRED)#查找FLTK库include_directories(${FLTK_INCLUDE_DIRS})#包含头文件#在可执行目标中添加链接add_executable(your_targetyour_source.cpp)target_link_libraries(your_target${OpenCV_LIBS}${FLTK_LIBRARIES})```####步骤3:调整链接顺序确保FLTK库在OpenCV库**之后**链接(解决依赖关系):```cmaketarget_link_libraries(your_target${OpenCV_LIBS}${FLTK_LIBRARIES}#放在OpenCV后面)```####步骤4:验证FLTK配置创建测试程序`fltk_test.cpp`:```cpp#include<FL/Fl.H>#include<FL/Fl_Window.H>#include<FL/Fl_Box.H>intmain(){Fl_Windowwindow(200,200,"FLTKTest");Fl_Boxbox(0,0,200,200,"Hello,World!");window.show();returnFl::run();}```编译测试:```bashg++fltk_test.cpp-ofltk_test-lfltk```运行`./fltk_test`,应显示一个带标题的窗口。####步骤5:解决特定符号问题如果仍然出现`fl_register_images`未定义,需要链接FLTK的图像扩展库:```cmaketarget_link_libraries(your_target${OpenCV_LIBS}fltk_images#专门链接图像模块${FLTK_LIBRARIES})```###完整CMake配置示例```cmakecmake_minimum_required(VERSION3.10)project(OpenCV_FLTK_Example)#查找OpenCVfind_package(OpenCVREQUIRED)#查找FLTKfind_package(FLTKREQUIRED)include_directories(${OpenCV_INCLUDE_DIRS}${FLTK_INCLUDE_DIRS})add_executable(mainmain.cpp)target_link_libraries(main${OpenCV_LIBS}fltk_images#FLTK图像支持fltk#FLTK核心库)```###手动编译命令示例```bashg++main.cpp-omain\`pkg-config--cflags--libsopencv4`\-lfltk_images-lfltk-lpthread-lX11```###疑难解答1.**错误仍出现**:运行`nm-D/usr/lib/x86_64-linux-gnu/libfltk_images.so|grepfl_register_images`确认符号存在。2.**多版本冲突**:使用`apt-getremove--purge`彻底移除旧版本FLTK后重新安装。3.**静态链接**:如需静态链接,添加`-lfltk_images-lfltk_jpeg-lfltk_png-lz`等依赖。###预防措施-在项目文档中明确记录所有依赖库的版本要求-使用Docker容器固定开发环境-在CI/CD流程中添加库存在性检查§§相关问题§§1.如何解决OpenCV与Qt5的链接冲突?2.Windows上如何配置FLTK与OpenCV的联合编译?3.CMake中如何正确设置库的链接顺序?4.如何排查其他未定义引用(undefinedreference)错误?</think>## 解决 undefined reference to `Fl_PNG_Image` and `fl_register_images` 链接错误 当在 C++ 项目中同时使用 OpenCV 和 FLTK 时,出现 `undefined reference to Fl_PNG_Image` 和 `fl_register_images` 错误,通常是由于链接器无法找到 FLTK 的图像处理库导致的。以下是完整解决方案: ### 错误原因分析 1. **缺少图像模块链接**:FLTK 的核心库 (`libfltk.a`/`libfltk.so`) 不包含图像处理功能 2. **未链接 `fltk_images` 库**:PNG 支持和图像注册函数位于单独的 `fltk_images` 库中 3. **链接顺序问题**:库的链接顺序影响符号解析优先级 4. **FLTK 配置不完整**:未正确安装 FLTK 开发包或缺少 PNG 支持 ### 解决方案 #### 方法 1:添加缺失的链接库(推荐) 在编译命令或 CMake 中添加 `fltk_images` 库: ```bash # 命令行编译 g++ your_program.cpp -o output \ `fltk-config --cxxflags` \ `pkg-config --cflags --libs opencv` \ -lfltk_images -lfltk -lpng -lz ``` CMake 配置示例: ```cmake find_package(FLTK REQUIRED) find_package(OpenCV REQUIRED) add_executable(your_target your_source.cpp) target_link_libraries(your_target ${OpenCV_LIBS} fltk_images # 关键:添加图像模块 fltk ) ``` #### 方法 2:验证并安装完整 FLTK 开发包 确保安装了包含图像支持的 FLTK 开发包: ```bash # Ubuntu/Debian sudo apt-get install libfltk1.3-dev libfltk-images1.3 # 验证安装 dpkg -L libfltk-images1.3 | grep .so # 应输出类似:/usr/lib/x86_64-linux-gnu/libfltk_images.so ``` #### 方法 3:检查库依赖关系 使用 `ldd` 和 `nm` 工具诊断: ```bash # 查看可执行文件的未解析符号 nm -u your_program | grep Fl_PNG_Image # 检查库是否包含所需符号 nm -D /usr/lib/libfltk_images.so | grep fl_register_images ``` #### 方法 4:解决链接顺序问题 确保链接顺序正确(依赖库放在后面): ```cmake # 正确顺序示例 target_link_libraries(your_target ${OpenCV_LIBS} # OpenCV 库 fltk_images # FLTK 图像模块 fltk # FLTK 核心库 pthread # 线程支持 ) ``` ### 完整 CMake 配置示例 ```cmake cmake_minimum_required(VERSION 3.10) project(OpenCV_FLTK_Demo) # 查找 FLTK (需要 1.3+ 版本) find_package(FLTK REQUIRED COMPONENTS images) include_directories(${FLTK_INCLUDE_DIRS}) # 查找 OpenCV find_package(OpenCV REQUIRED) include_directories(${OpenCV_INCLUDE_DIRS}) add_executable(main main.cpp) target_link_libraries(main ${OpenCV_LIBS} ${FLTK_IMAGES_LIBRARIES} # FLTK 图像库 ${FLTK_BASE_LIBRARIES} # FLTK 基础库 ) ``` ### 常见问题排查 1. **PNG 支持缺失**: ```bash sudo apt-get install libpng-dev ``` 重新编译 FLTK 并确认配置输出中包含: ``` PNG: yes ``` 2. **多线程支持**: 在链接器中添加 `-lpthread`: ```cmake target_link_libraries(your_target pthread) ``` 3. **32/64 位不匹配**: 确保所有库架构一致,使用: ```bash file /usr/lib/libfltk_images.so # 应显示 ELF 64-bit LSB shared object 或 32-bit ``` ### 验证修复 创建测试程序: ```cpp #include <FL/Fl.H> #include <FL/Fl_PNG_Image.H> int main() { Fl_PNG_Image img("test.png"); // 不再报错 return 0; } ``` 编译并运行: ```bash g++ test.cpp -lfltk_images -lfltk -o test && ./test ``` ### 预防措施 1. 在项目文档中明确记录依赖: ```txt Required libraries: - fltk >= 1.3 - fltk_images - libpng - opencv_core, opencv_highgui ``` 2. 在 CI/CD 流程中添加库检查步骤: ```bash # CI 脚本示例 check_library() { if ! ldconfig -p | grep -q $1; then echo "Missing library: $1" exit 1 fi } check_library libfltk_images ```
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