【记录一个问题】linux + opencv + gpu视频解码，好不容易编译通过，运行又coredump了...

阅读量：7061 次

发布时间：2019-06-28

本文共 2583 字，大约阅读时间需要 8 分钟。

1.首先编译了opencv + cuda

编译选项中使用了以下关于cuvid库的内容：

//"nvcuvid" library

CUDA_nvcuvid_LIBRARY:FILEPATH=/usr/local/lib/libnvcuvid.so

//Path to a library.

CUDA_rt_LIBRARY:FILEPATH=/usr/local/cuda-9.0/lib64/libcudart_static.a

//Include NVidia Video Decoding library support

WITH_NVCUVID:BOOL=ON

2.下载了这个opencv + cuvid视频解码例子：

https://github.com/opencv/opencv/blob/master/samples/gpu/video_reader.cpp

编译和链接命令行：

g++ -c video_reader.cpp -o video_reader.o -g -I"/home/admin/opencv/2019-05-09_cuda/include/opencv4/" -std=c++11g++ -o video_reader video_reader.o -L"/home/admin/opencv/2019-05-09_cuda/lib64/" -lopencv_core -lopencv_videoio -lopencv_cudacodec -lopencv_imgproc -lopencv_imgcodecs -lopencv_flann  -lopencv_img_hash  -lopencv_photo -L"/usr/local/cuda/lib64/stubs" -lcuda -lcublas -L"/usr/local/cuda/lib64" -lcudart -L"/usr/local/lib/" -lnvcuvid -lz -ldl -lpthread -lopencv_imgcodecs -lopencv_core -lopencv_imgcodecs -L"/home/admin/opencv/2019-05-09_cuda/lib64/opencv4/3rdparty" -lIlmImf -lopencv_core -lopencv_imgproc

3. 运行程序，出现coredump，GPU驱动的版本是 384.81

./video_reader stand_input.mp4

Program received signal SIGSEGV, Segmentation fault.

堆栈信息如下：

(gdb) bt#0  0x00000000007eb4aa in cv::cudacodec::detail::CuvidVideoSource::CuvidVideoSource (    this=0x1731810, fname=...)    at /home/admin/opencv/opencv_contrib-master/modules/cudacodec/src/cuvid_video_source.cpp:63#1  0x00000000007e6943 in cv::cudacodec::createVideoReader (filename=...)    at /home/admin/opencv/opencv_contrib-master/modules/cudacodec/src/video_reader.cpp:206#2  0x000000000040e0cb in main (argc=2, argv=0x7fffffffe5a8) at video_reader.cpp:33(gdb) f 0#0  0x00000000007eb4aa in cv::cudacodec::detail::CuvidVideoSource::CuvidVideoSource (    this=0x1731810, fname=...)    at /home/admin/opencv/opencv_contrib-master/modules/cudacodec/src/cuvid_video_source.cpp:6363          CUresult cuRes = cuvidCreateVideoSource(&videoSource_, fname.c_str(), &params);

4. 搜索了一下，这篇帖子貌似提供了解决办法：

https://github.com/opencv/opencv/issues/10201