Makefile:c++；linux上的文件，无法在opencv 2.4.6中找到cuda库

希望有人能帮上忙

在Linux上使用CUDA工具包5.5重建OpenCV 2.4.6后，尝试使用VAS制作和CLI G+命令构建一个引用OpenCV和CUDA的单个C++文件。每种方法的输入和输出如下所示

Makefile尝试从OpenCV引用*.a文件，但未成功。CLI g++命令尝试引用*.so文件，但有些方法似乎未定义

Makefile是否需要仅访问OpenCV*.a文件

Makefile:

CFLAGS = -g Wall 
LIBPATH = /data/content/cuda/opencv-2.4.6/lib
LIBS = -lopencv_calib3d_pch_dephelp -lopencv_contrib_pch_dephelp -lopencv_core_pch_dephelp -lopencv_features2d_pch_dephelp -lopencv_flann_pch_dephelp -lopencv_gpu_pch_dephelp -lopencv_haartraining_engine -lopencv_highgui_pch_dephelp -lopencv_imgproc_pch_dephelp -lopencv_legacy_pch_dephelp -lopencv_ml_pch_dephelp -lopencv_nonfree_pch_dephelp -lopencv_objdetect_pch_dephelp -lopencv_perf_calib3d_pch_dephelp -lopencv_perf_core_pch_dephelp -lopencv_perf_features2d_pch_dephelp -lopencv_perf_gpu_pch_dephelp -lopencv_perf_highgui_pch_dephelp -lopencv_perf_imgproc_pch_dephelp -lopencv_perf_nonfree_pch_dephelp -lopencv_perf_objdetect_pch_dephelp -lopencv_perf_photo_pch_dephelp -lopencv_perf_stitching_pch_dephelp -lopencv_perf_superres_pch_dephelp -lopencv_perf_video_pch_dephelp -lopencv_photo_pch_dephelp -lopencv_stitching_pch_dephelp -lopencv_superres_pch_dephelp -lopencv_test_calib3d_pch_dephelp -lopencv_test_contrib_pch_dephelp -lopencv_test_core_pch_dephelp -lopencv_test_features2d_pch_dephelp -lopencv_test_flann_pch_dephelp -lopencv_test_gpu_pch_dephelp -lopencv_test_highgui_pch_dephelp -lopencv_test_imgproc_pch_dephelp -lopencv_test_legacy_pch_dephelp -lopencv_test_ml_pch_dephelp -lopencv_test_nonfree_pch_dephelp -lopencv_test_objdetect_pch_dephelp -lopencv_test_photo_pch_dephelp -lopencv_test_stitching_pch_dephelp -lopencv_test_superres_pch_dephelp -lopencv_test_video_pch_dephelp -lopencv_ts_pch_dephelp -lopencv_video_pch_dephelp -lopencv_videostab_pch_dephelp -lopencv_gpu -lopencv_highgui
INCLUDEPATH1 = /usr/include/opencv2/core
INCLUDEPATH2 = /usr/include/opencv2/highgui 
INCLUDEPATH3 = /usr/include/opencv2/gpu 

all: tiff2png1.so

tiff2png1.so: main.o 
    g++ -o tiff2png1.so main.o  **-L $(LIBPATH) $(LIB)**

main.o: main.cpp 
    g++ -c main.cpp -g -Wall -I $(INCLUDEPATH1)  -I $(INCLUDEPATH2)  -I $(INCLUDEPATH3) $(LIBPATH)

.PHONY: clean
clean:
    rm -vf tiff2png1.so *.o

生成文件输出：

CFLAGS = -g Wall 
LIBPATH = /data/content/cuda/opencv-2.4.6/lib
LIBS = -lopencv_calib3d_pch_dephelp -lopencv_contrib_pch_dephelp -lopencv_core_pch_dephelp -lopencv_features2d_pch_dephelp -lopencv_flann_pch_dephelp -lopencv_gpu_pch_dephelp -lopencv_haartraining_engine -lopencv_highgui_pch_dephelp -lopencv_imgproc_pch_dephelp -lopencv_legacy_pch_dephelp -lopencv_ml_pch_dephelp -lopencv_nonfree_pch_dephelp -lopencv_objdetect_pch_dephelp -lopencv_perf_calib3d_pch_dephelp -lopencv_perf_core_pch_dephelp -lopencv_perf_features2d_pch_dephelp -lopencv_perf_gpu_pch_dephelp -lopencv_perf_highgui_pch_dephelp -lopencv_perf_imgproc_pch_dephelp -lopencv_perf_nonfree_pch_dephelp -lopencv_perf_objdetect_pch_dephelp -lopencv_perf_photo_pch_dephelp -lopencv_perf_stitching_pch_dephelp -lopencv_perf_superres_pch_dephelp -lopencv_perf_video_pch_dephelp -lopencv_photo_pch_dephelp -lopencv_stitching_pch_dephelp -lopencv_superres_pch_dephelp -lopencv_test_calib3d_pch_dephelp -lopencv_test_contrib_pch_dephelp -lopencv_test_core_pch_dephelp -lopencv_test_features2d_pch_dephelp -lopencv_test_flann_pch_dephelp -lopencv_test_gpu_pch_dephelp -lopencv_test_highgui_pch_dephelp -lopencv_test_imgproc_pch_dephelp -lopencv_test_legacy_pch_dephelp -lopencv_test_ml_pch_dephelp -lopencv_test_nonfree_pch_dephelp -lopencv_test_objdetect_pch_dephelp -lopencv_test_photo_pch_dephelp -lopencv_test_stitching_pch_dephelp -lopencv_test_superres_pch_dephelp -lopencv_test_video_pch_dephelp -lopencv_ts_pch_dephelp -lopencv_video_pch_dephelp -lopencv_videostab_pch_dephelp -lopencv_gpu -lopencv_highgui
INCLUDEPATH1 = /usr/include/opencv2/core
INCLUDEPATH2 = /usr/include/opencv2/highgui 
INCLUDEPATH3 = /usr/include/opencv2/gpu 

all: tiff2png1.so

tiff2png1.so: main.o 
    g++ -o tiff2png1.so main.o  **-L $(LIBPATH) $(LIB)**

main.o: main.cpp 
    g++ -c main.cpp -g -Wall -I $(INCLUDEPATH1)  -I $(INCLUDEPATH2)  -I $(INCLUDEPATH3) $(LIBPATH)

.PHONY: clean
clean:
    rm -vf tiff2png1.so *.o

g++-o tiff2png1.so main.o-L/data/content/cuda/opencv-2.4.6/lib main.o:在函数

main'中：
/home/../main.cpp:13:对

cv:gpu:：getcudaenabledevicecount（）的未定义引用' /home/../main.cpp:15:对

cv:：gpu:：getDevice（）的未定义引用
/home/../main.cpp:21:对

cv:：imread（std:：basic_string，std:：allocator>const&，int）的未定义引用 /home/../main.cpp:27:cv:：gpu:：GpuMat:：GpuMat（cv:：Mat const&）的未定义引用 /home/../main.cpp:29:对cv:：gpu:：Stream:：Null（）的未定义引用 /home/../main.cpp:29:对

cv:：gpu:：resize（cv:：gpu:：GpuMat const&，cv:：gpu:：GpuMat&，cv:：Size\ux，double，double，int，cv:：gpu:：Stream&）的未定义引用
/home/../main.cpp:42:对

cv:：Mat:：Mat（cv:：gpu:：GpuMat const&）的未定义引用 /home/../main.cpp:49:对

cv:：_InputArray:：_InputArray（cv:：Mat const&）的未定义引用
...
main.o:In function

~GpuMat'：/usr/include/opencv2/core/GpuMat.hpp:374:对'cv:：gpu:：GpuMat:：release（）的未定义引用 collect2:ld返回了1个退出状态 make:[tiff2png1.so]错误1

命令行生成

$g++-o tx.exe main.o-L/data/content/cuda/opencv-2.4.6/lib-lopencv\u gpu

命令行生成输出

/data/content/cuda/opencv-2.4.6/lib/libopencv\u gpu.so:cv:：gpu:：convertTo（cv:：gpu:：GpuMat const&，cv:：gpu:：GpuMat&，double，double，CUstream\u st*）的未定义引用

/data/content/cuda/opencv-2.4.6/lib/libopencv\u gpu.so:cv:：gpu:：setTo（cv:：gpu:：GpuMat&，cv:：Scalar\u，cv:：gpu:：GpuMat const&，CUstream\u st*）的未定义引用

/data/content/cuda/opencv-2.4.6/lib/libopencv_gpu.so:cv:：gpu:：setTo（cv:：gpu:：GpuMat&，cv:：Scalar_，CUstream_st*）的未定义引用

---

collect2:ld返回1退出状态

看起来您可能在链接器目标中的变量末尾省略了一个“S”

**LIBS** = -lopencv_calib3d_pch_dephelp ...

tiff2png1.so: main.o 
    g++ -o tiff2png1.so main.o  -L $(LIBPATH) $(**LIB**)

因此-l选项不会被传递给链接器

g++ -o tiff2png1.so main.o -L /data/content/cuda/opencv-2.4.6/lib **should be here** main.o

---

对Makefile的“S”修复现在使其生成与命令行相同的错误。链接器似乎没有检测到Makefile中的“*.a”库。“opencv_gpu”被添加到Makefile中，它似乎是唯一被检测到的库。它有一个“.so”扩展名。谢谢。让链接器检测*.a文件还需要一些其他标志吗？我以前使用-l标志加载过静态库（.a），所以我知道这是可行的。我还没有尝试过混合动态库（.so），不过这可能会导致您的问题。可能尝试此操作以强制静态链接：另外，请确保在加载依赖于其他库的库之前加载任何依赖于其他库的库。以下错误消息令人困惑：/data/content/cuda/opencv-2.4.6/lib/libopencv_gpu.so:cv:：gpu:：convertTo的未定义引用（cv:：gpu:：GpuMat const&，cv:：gpu:：GpuMat&，double，double，CUstream_st*）。这表明opencv库缺少方法。