opencv-cuda编译 or 问题解决处理
- 装前温馨提示
- 一、常规安装流程
- 安装
- 1.常规依赖项安装
- 2.下载ffmpeg
- 3.安装nv-codec-headers
- 4.编译
- 5.配置环境变量
- 说明
- 2、opencv-cuda编译
- 1.常规依赖项安装
- 2.下载opencv所需相关文件及编译方式
- 3.开始编译
- 4.编译自查是否成功（看config）
- 4.1查看ffmpeg是否编译成功
- 4.2查看OPENGL是否安装成功
- 4.3查看nvcuid是否安装成功
- 5.开始安装
- 6.设置环境变量
- 7.测试gpu代码事例（官方公开代码）
- 二.解决问题
- 时 avresample: NO
- 时swscale:NO
- 时openGL:NO
- 时 CUDA_nppicom_LIBRARY(ADVANCED) linked by target...
- 5.关于一切未定义或者libopencv*.so not open，file not detection问题
- 时 CUDA_nppi_LIBRARY(ADVANCED) linked by target...
- 6.1找到文件
- 6.2将opencv/modules/cudev/include/opencv2/cudev/
- 7.编译成功视频没问题，OpenCV(4.2.0) Error: Unsupported format or combination of formats (Unsupported video source) in nextFrame, file /home/dachuan/guojun/opencv-4.2.0/opencv_contrib-4.2.0/modules/cudacodec/src/video_reader.cpp, line 140terminate called after throwing an instance of 'cv::Exception' what(): OpenCV(4.2.0) /home/dachuan/guojun/opencv-4.2.0/opencv_contrib-4.2.0/modules/cudacodec/src/video_reader.cpp:140: error: (-210:Unsupported format or combination of formats) Unsupported video source in function 'nextFrame'
- 三 总结
装前温馨提示
如果你要使用Gpu进行rtsp编解码这块需要注意了：
1.Opencv3.*版本在进行rtsp-gpu编解码的时候提到了需要ffmpegvideosource这个接口,无法进行rtsp编解码，但是对于视频的处理还是可以的，并且性能准确。
2.对于上述rtsp无法编解码问题，我的解决方法是4.*版本解决。
3.很多朋友都选择私信，我从第三条博客开始每条博客都有我的微信联系方式，现在学术界认识得人也慢慢变多，所有需要交流的地方请直接加微信吧，不收费，也不用发红包啥的，微信2267348110，私信就是有缘回，微信一定能找到。（帮助你们，我自己也能学到很多）
提示：以下是本篇文章正文内容，下面案例可供参考
一、常规安装流程
安装
1.常规依赖项安装
sudo apt-get update sudo apt-get -y install autoconf automake build-essential libass-dev libfreetype6-dev \ libsdl2-dev libtheora-dev libtool libva-dev libvdpau-dev libvorbis-dev libxcb1-dev libxcb-shm0-dev \ libxcb-xfixes0-dev pkg-config texinfo zlib1g-dev
apt-get install yasm -y && apt-get install libx264-dev -y && apt-get install libx265-dev -y && \ apt-get install libvpx-dev -y && \ apt-get install libfdk-aac-dev -y && \ apt-get install libmp3lame-dev -y && \ apt-get install libopus-dev -y
sudo apt-get install yasm
sudo apt-get install libx264-dev
sudo apt-get install libx265-dev
sudo apt-get install libvpx-dev
sudo apt-get install libfdk-aac-dev
sudo apt-get install libmp3lame-dev
sudo apt-get install libopus-dev
sudo apt-get -y install glew-utils libglew-dbg libglew-dev libglew1.13 \ libglewmx-dev libglewmx-dbg freeglut3 freeglut3-dev freeglut3-dbg libghc-glut-dev \ libghc-glut-doc libghc-glut-prof libalut-dev libxmu-dev libxmu-headers libxmu6 \ libxmu6-dbg libxmuu-dev libxmuu1 libxmuu1-dbg
2.下载ffmpeg
git clone /FFmpeg/FFmpeg ffmpeg -b master
3.安装nv-codec-headers
提示：可以使ffmpeg具备cuda功能 -/FFmpeg/nv-codec-headers/tree/sdk/编译安装sdk
4.编译
cd ffmpeg
./configure --prefix=/usr/local/ffmpeg --disable-asm --disable-x86asm \ --enable-cuda --enable-cuvid --enable-nvenc \ --enable-nonfree --enable-libnpp \ --extra-cflags=-I/usr/local/cuda/include \ --extra-cflags=-fPIC --extra-ldflags=-L/usr/local/cuda/lib64 \ --enable-gpl --enable-libx264 --enable-libx265 \ --enable-shared \ --enable-libass \ --enable-libfdk-aac \ --enable-libfreetype \ --enable-libmp3lame \ --enable-libopus \ --enable-libtheora \ --enable-libvorbis make -j8 sudo make -j8 install make -j8 distclean hash -r
5.配置环境变量
sudo vi /etc/ 添加: /usr/local/ffmpeg/lib sudo ldconfig
sudo vi /etc/profile
加入以下内容 export PATH=/usr/local/ffmpeg/bin:$PATH export FFMPEG_HOME=/usr/local/ffmpeg export PATH=$FFMPEG_HOME/bin:$PATH export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib #添加动态库路径
export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/ffmpeg/lib/pkgconfig:/usr/local/lib
执行 source /etc/profile
说明
ffmpeg的安装暂时不会记录的很细致，ffmpeg的安装还是很方便的，接下来把重心全部放在关于opencv和解决相关问题之上。
2、opencv-cuda编译
1.常规依赖项安装
sudo apt-get install build-essential
sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev # 处理图像所需的包
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev liblapacke-dev
sudo apt-get install libxvidcore-dev libx264-dev # 处理视频所需的包
sudo apt-get install libatlas-base-dev gfortran # 优化opencv功能
sudo apt-get install ffmpeg
2.下载opencv所需相关文件及编译方式
/opencv/opencv #opencv相关版本包（我用的是4.2.0)
/opencv/opencv_contrib #opencv扩展包（我用的也是4.2.0）
将opencv_contrib放到opencv当前路径下即可。
3.开始编译
sudo cmake
-D CMAKE_INSTALL_PREFIX=/usr/local/opencv-4.2.0
-D CMAKE_BUILD_TYPE=RELEASE
-D CMAKE_INSTLL_PREFIX=/usr/local
-D OPENCV_EXTRA_MODULES_PATH=../opencv_contrib-4.2.0/modules
-D BUILD_opencv_hdf=OFF
-D BUILD_opencv_python3=ON
-D WITH_CUDA=ON
-D WITH_OPENGL=ON
-D WITH_OPENMP=ON
-D WITH_OPENCL=ON
-D WITH_VTK=ON
-D WITH_TBB=ON
-D WITH_GSTREAMER=ON
-D WITH_CUDNN=ON
-D WITH_CUBLAS=ON
-D WITH_GTK_2_X=ON
-D BUILD_EXAMPLES=ON
-D OPENCV_ENABLE_NONFREE=ON
-D WITH_FFMPEG=ON
-D OPENCV_GENERATE_PKGCONFIG=ON
-D WITH_NVCUVID=ON
-D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-11.1
-D CUDA_ARCH_BIN=6.0,6.1,7.0,7.5
-D CUDA_ARCH_PTX=7.5 ..
中间会有安装 ippicv，face_landmark_model，boostdesc_bgm，我建议是直接让他安装一次，不强行去指定路径然后从网上下载，越往上的opencv版本越高，有的github找不到现成的。
4.编译自查是否成功（看config）
-- General configuration for OpenCV 4.2.0 =====================================
-- Version control: unknown
--
-- Extra modules:
-- Location (extra): /home/dachuan/guojun/opencv-4.2.0/opencv_contrib-4.2.0/modules
-- Version control (extra): unknown
--
-- Platform:
-- Timestamp: 2022-04-20T11:37:54Z
-- Host: Linux 5.4.0-91-generic x86_64
-- CMake: 3.10.2
-- CMake generator: Unix Makefiles
-- CMake build tool: /usr/bin/make
-- Configuration: RELEASE
--
-- CPU/HW features:
-- Baseline: SSE SSE2 SSE3
-- requested: SSE3
-- Dispatched code generation: SSE4_1 SSE4_2 FP16 AVX AVX2 AVX512_SKX
-- requested: SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX
-- SSE4_1 (16 files): + SSSE3 SSE4_1
-- SSE4_2 (2 files): + SSSE3 SSE4_1 POPCNT SSE4_2
-- FP16 (1 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 AVX
-- AVX (5 files): + SSSE3 SSE4_1 POPCNT SSE4_2 AVX
-- AVX2 (29 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2
-- AVX512_SKX (6 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2 AVX_512F AVX512_COMMON AVX512_SKX
--
-- C/C++:
-- Built as dynamic libs?: YES
-- C++ Compiler: /usr/bin/c++ (ver 7.5.0)
-- C++ flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -fopenmp -O3 -DNDEBUG -DNDEBUG
-- C++ flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -fopenmp -g -O0 -DDEBUG -D_DEBUG
-- C Compiler: /usr/bin/cc
-- C flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -fopenmp -O3 -DNDEBUG -DNDEBUG
-- C flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -fopenmp -g -O0 -DDEBUG -D_DEBUG
-- Linker flags (Release): -Wl,--gc-sections
-- Linker flags (Debug): -Wl,--gc-sections
-- ccache: YES
-- Precompiled headers: NO
-- Extra dependencies: dl m pthread rt /usr/lib/x86_64-linux-gnu/ /usr/lib/x86_64-linux-gnu/ cudart nppc nppial nppicc nppidei nppif nppig nppim nppist nppisu nppitc npps cublas cufft -L/usr/local/cuda-11.1/lib64
-- 3rdparty dependencies:
--
-- OpenCV modules:
-- To be built: aruco bgsegm bioinspired calib3d ccalib core cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev datasets dnn dnn_objdetect dnn_superres dpm face features2d flann freetype fuzzy gapi hfs highgui img_hash imgcodecs imgproc line_descriptor ml objdetect optflow phase_unwrapping photo plot quality reg rgbd saliency sfm shape stereo stitching structured_light superres surface_matching text tracking ts video videoio videostab xfeatures2d ximgproc xobjdetect xphoto
-- Disabled: hdf world
-- Disabled by dependency: -
-- Unavailable: cnn_3dobj cvv java js matlab ovis python2 python3 viz
-- Applications: tests perf_tests examples apps
-- Documentation: NO
-- Non-free algorithms: YES
--
-- GUI:
-- GTK+: YES (ver 2.24.32)
-- GThread : YES (ver 2.56.4)
-- GtkGlExt: YES (ver 1.2.0)
-- OpenGL support: YES (/usr/lib/x86_64-linux-gnu/ /usr/lib/x86_64-linux-gnu/)
-- VTK support: NO
--
-- Media I/O:
-- ZLib: /usr/lib/x86_64-linux-gnu/ (ver 1.2.11)
-- JPEG: /usr/lib/x86_64-linux-gnu/ (ver 80)
-- WEBP: /usr/lib/x86_64-linux-gnu/ (ver encoder: 0x020e)
-- PNG: /usr/lib/x86_64-linux-gnu/ (ver 1.6.34)
-- TIFF: /usr/lib/x86_64-linux-gnu/ (ver 42 / 4.0.9)
-- JPEG 2000: /usr/lib/x86_64-linux-gnu/ (ver 1.900.1)
-- OpenEXR: build (ver 2.3.0)
-- HDR: YES
-- SUNRASTER: YES
-- PXM: YES
-- PFM: YES
--
-- Video I/O:
-- DC1394: YES (2.2.5)
-- FFMPEG: YES
-- avcodec: YES (57.107.100)
-- avformat: YES (57.83.100)
-- avutil: YES (55.78.100)
-- swscale: YES (4.8.100)
-- avresample: YES (3.7.0)
-- GStreamer: YES (1.14.5)
-- v4l/v4l2: YES (linux/)
--
-- Parallel framework: TBB (ver 2017.0 interface 9107)
--
-- Trace: YES (with Intel ITT)
--
-- Other third-party libraries:
-- Intel IPP: 2020.0.0 Gold [2020.0.0]
-- at: /home/dachuan/guojun/opencv-4.2.0/build/3rdparty/ippicv/ippicv_lnx/icv
-- Intel IPP IW: sources (2020.0.0)
-- at: /home/dachuan/guojun/opencv-4.2.0/build/3rdparty/ippicv/ippicv_lnx/iw
-- Lapack: NO
-- Eigen: YES (ver 3.4.0)
-- Custom HAL: NO
-- Protobuf: build (3.5.1)
--
-- NVIDIA CUDA: YES (ver 11.1, CUFFT CUBLAS NVCUVID)
-- NVIDIA GPU arch: 60 61 70 75
-- NVIDIA PTX archs: 75
--
-- cuDNN: NO
--
-- OpenCL: YES (no extra features)
-- Include path: /home/dachuan/guojun/opencv-4.2.0/3rdparty/include/opencl/1.2
-- Link libraries: Dynamic load
--
-- Python 3:
-- Interpreter: /usr/bin/python3 (ver 3.6.9)
-- Libraries: NO
-- numpy: NO (Python3 wrappers can not be generated)
-- install path: -
--
-- Python (for build): /usr/bin/python2.7
-- Pylint: /home/dachuan/anaconda3/bin/pylint (ver: 3.9.7, checks: 163)
-- Flake8: /home/dachuan/anaconda3/bin/flake8 (ver: 3.9.2)
--
-- Java:
-- ant: NO
-- JNI: NO
-- Java wrappers: NO
-- Java tests: NO
--
-- Install to: /usr/local/opencv-4.2.0
-- -----------------------------------------------------------------
4.1查看ffmpeg是否编译成功
Video I/O:
-- DC1394: YES (2.2.5)
-- FFMPEG: YES
-- avcodec: YES (57.107.100)
-- avformat: YES (57.83.100)
-- avutil: YES (55.78.100)
-- swscale: YES (4.8.100)
-- avresample: YES (3.7.0)
-- GStreamer: YES (1.14.5)
-- v4l/v4l2: YES (linux/)
提示：如果在此处出现了NO不用着急后面我会给出解决方法
4.2查看OPENGL是否安装成功
GUI:
-- GTK+: YES (ver 2.24.32)
-- GThread : YES (ver 2.56.4)
-- GtkGlExt: YES (ver 1.2.0)
-- OpenGL support: YES (/usr/lib/x86_64-linux-gnu/ /usr/lib/x86_64-linux-gnu/)
-- VTK support: NO
提示：如果在此处出现了NO不用着急后面我会给出解决方法
4.3查看nvcuid是否安装成功
NVIDIA CUDA: YES (ver 11.1, CUFFT CUBLAS NVCUVID)
-- NVIDIA GPU arch: 60 61 70 75
-- NVIDIA PTX archs: 75
提示：如果在此处出现了NO不用着急后面我会给出解决方法
5.开始安装
sudo make -j64&& sudo make install
6.设置环境变量
sudo /etc//
/usr/local/opencv-4.2.0/lib
ldconfig #opencv基础变量设置成功
总局环境变量：
配置bash
sudo gedit /etc/ //在末尾添加 PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/opencv-4.2.0/lib/pkgconfig #根据opencv的lib设置的路径更改 export PKG_CONFIG_PATH
保存退出，然后执行如下命令使得配置生效
source /etc/ //激活配置然后更新database sudo updatedb
配置本地bash
打开~/.bashrc
$ gedit ~/.bashrc
在文件末尾增加以下内容
export PKG_CONFIG_PATH=/usr/local/opencv-4.2.0/lib/pkgconfig export LD_LIBRARY_PATH=/usr/local/opencv-4.2.0/lib
更新~/.bashrc
$ source ~/.bashrc
7.测试gpu代码事例（官方公开代码）
#include <iostream>
#include "opencv2/opencv_modules.hpp"
#if defined(HAVE_OPENCV_CUDACODEC)
#include <string>
#include <vector>
#include <algorithm>
#include <numeric>
#include <opencv2/>
#include <opencv2/core/>
#include <opencv2/>
#include <opencv2/>
int main(int argc, const char* argv[])
{
if (argc != 2)
return -1;
const std::string fname(argv[1]);
//cv::namedWindow("CPU", cv::WINDOW_NORMAL);
cv::namedWindow("GPU", cv::WINDOW_OPENGL);
cv::cuda::setGlDevice();
cv::Mat frame;
cv::VideoCapture reader(fname);
cv::cuda::GpuMat d_frame;
cv::Ptr<cv::cudacodec::VideoReader> d_reader = cv::cudacodec::createVideoReader(fname);
cv::TickMeter tm;
std::vector<double> cpu_times;
std::vector<double> gpu_times;
int gpu_frame_count=0, cpu_frame_count=0;
/*for (;;)
{
(); ();
if (!(frame))
break;
();
cpu_times.push_back(());
cpu_frame_count++;
cv::imshow("CPU", frame);
if (cv::waitKey(3) > 0)
break;
}*/
for (;;)
{
tm.reset(); tm.start();
if (!d_reader->nextFrame(d_frame))
break;
tm.stop();
gpu_times.push_back(tm.getTimeMilli());
gpu_frame_count++;
cv::imshow("GPU", d_frame);
if (cv::waitKey(30) > 0)
break;
}
if (!cpu_times.empty() && !gpu_times.empty())
{
std::cout << std::endl << "Results:" << std::endl;
std::sort(cpu_times.begin(), cpu_times.end());
std::sort(gpu_times.begin(), gpu_times.end());
double cpu_avg = std::accumulate(cpu_times.begin(), cpu_times.end(), 0.0) / cpu_times.size();
double gpu_avg = std::accumulate(gpu_times.begin(), gpu_times.end(), 0.0) / gpu_times.size();
std::cout << "CPU : Avg : " << cpu_avg << " ms FPS : " << 1000.0 / cpu_avg << " Frames " << cpu_frame_count << std::endl;
std::cout << "GPU : Avg : " << gpu_avg << " ms FPS : " << 1000.0 / gpu_avg << " Frames " << gpu_frame_count << std::endl;
}
return 0;
}
#else
int main()
{
std::cout << "OpenCV was built without CUDA Video decoding support\n" << std::endl;
return 0;
}
#endif
g++ -std=c++11 -o main -I /usr/local/opencv-4.2.0/include/opencv4/ -L /usr/local/opencv-4.2.0/lib/ -lopencv_cudacodec -lopencv_videostab -lopencv_highgui -lopencv_videoio -lopencv_cudaarithm -lopencv_core -lopencv_imgcodecs -lopencv_imgproc
编译通过，一跑OK，接下来到了鸡冻人心的解决问题环节。
二.解决问题
时 avresample: NO
apt-get install libavresample-dev
时swscale:NO
apt-get install libswscale-dev
时openGL:NO
sudo apt-get install freeglut3-dev mesa-common-dev libgtkglext1 libgtkglext1-dev
时 CUDA_nppicom_LIBRARY(ADVANCED) linked by target…
报错信息
CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
CUDA_nppicom_LIBRARY (ADVANCED)
linked by target "opencv_cudev" in directory ....
linked by target "opencv_cudev" in directory ....
linked by target "opencv_test_cudev" in directory ....
...
cuda11.0以上版本已经将nppicom，所以我们需要将cmake文件对应位置删除
找到文件，找到下述if(CUDA_FOUND)的位置，在下面加上去掉nppicom的库的指令
.....
if(CUDA_FOUND)
set(HAVE_CUDA 1)
//添加以下四行
if(CUDA_VERSION VERSION_GREATER_EQUAL "11.0")
ocv_list_filterout(CUDA_nppi_LIBRARY "nppicom")
ocv_list_filterout(CUDA_npp_LIBRARY "nppicom")
endif()
if(WITH_CUFFT)
set(HAVE_CUFFT 1)
.....
5.关于一切未定义或者libopencv*.so not open，file not detection问题
这些纯纯的的属于环境变量问题，仔细检查我上面环境变量的写法是否一致。还有问题请联系我。
时 CUDA_nppi_LIBRARY(ADVANCED) linked by target…
报错信息
CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
CUDA_nppi_LIBRARY (ADVANCED)
linked by target "opencv_cudev" in directory 。。。。
linked by target "opencv_cudev" in directory 。。。。。。。。
linked by target "opencv_test_cudev" in directory 。。。。
...
6.1找到文件
把
find_cuda_helper_libs(nppi)
换成
find_cuda_helper_libs(nppial)
find_cuda_helper_libs(nppicc)
find_cuda_helper_libs(nppicom)
find_cuda_helper_libs(nppidei)
find_cuda_helper_libs(nppif)
find_cuda_helper_libs(nppig)
find_cuda_helper_libs(nppim)
find_cuda_helper_libs(nppist)
find_cuda_helper_libs(nppisu)
find_cuda_helper_libs(nppitc)
把
set(CUDA_npp_LIBRARY "${CUDA_nppc_LIBRARY};${CUDA_nppi_LIBRARY};${CUDA_npps_LIBRARY}")
换成
set(CUDA_npp_LIBRARY "${CUDA_nppc_LIBRARY};${CUDA_nppial_LIBRARY};${CUDA_nppicc_LIBRARY};${CUDA_nppicom_LIBRARY};${CUDA_nppidei_LIBRARY};${CUDA_nppif_LIBRARY};${CUDA_nppig_LIBRARY};${CUDA_nppim_LIBRARY};${CUDA_nppist_LIBRARY};${CUDA_nppisu_LIBRARY};${CUDA_nppitc_LIBRARY};${CUDA_npps_LIBRARY}")
把
unset(CUDA_nppi_LIBRARY CACHE)
换成
unset(CUDA_nppial_LIBRARY CACHE)
unset(CUDA_nppicc_LIBRARY CACHE)
unset(CUDA_nppicom_LIBRARY CACHE)
unset(CUDA_nppidei_LIBRARY CACHE)
unset(CUDA_nppif_LIBRARY CACHE)
unset(CUDA_nppig_LIBRARY CACHE)
unset(CUDA_nppim_LIBRARY CACHE)
unset(CUDA_nppist_LIBRARY CACHE)
unset(CUDA_nppisu_LIBRARY CACHE)
unset(CUDA_nppitc_LIBRARY CACHE)
6.2将opencv/modules/cudev/include/opencv2/cudev/
添加#include<cuda_fp16.h>
7.编译成功视频没问题，OpenCV(4.2.0) Error: Unsupported format or combination of formats (Unsupported video source) in nextFrame, file /home/dachuan/guojun/opencv-4.2.0/opencv_contrib-4.2.0/modules/cudacodec/src/video_reader.cpp, line 140terminate called after throwing an instance of ‘cv::Exception’ what(): OpenCV(4.2.0) /home/dachuan/guojun/opencv-4.2.0/opencv_contrib-4.2.0/modules/cudacodec/src/video_reader.cpp:140: error: (-210:Unsupported format or combination of formats) Unsupported video source in function ‘nextFrame’
1，排查几个问题，是否是自己推得流如果是请检查编码
1.视频转换：
avi-------------------------->flv
ffmpeg -i file.avi output.flv
MPEG-1--------------->MPEG-4
ffmpeg -i inputfile.mpg -f mp4 -acodec libfaac -vcodec mpeg4 -b 256k -ab 64k outputfile.mp4
MP3------------------->MPEG-4
ffmpeg -i inputfile.mp3 -f mp4 -acodec libaac -vn -ab 64k outputfile.mp4
DVD的VOB---------->VideoCD格式的MPEG-1
ffmpeg -i inputfile.vob -f mpeg -acodec mp2 -vcodec mpeg1video -s 352x240 -b 1152k -ab 128k outputfile.mpg
AVI------------------->H.264格式的M4V
ffmpeg -i inputfile.avi -f mp4 -acodec libfaac -vcodec libx264 -b 512k -ab 320k outputfile.m4v
任何------------------->东芝REGZA可辨识的MPEG2
ffmpeg -i inputfile -target ntsc-svcd -ab 128k -aspect 4:3 -s 720x480 outputfile.mpg
2.音频视频合并：ok
ffmpeg -i input1.avi -i input2.mp3 -vcodec copy -acodec copy out.avi
3.拆分音频视频：ok
提取音频：
ffmpeg -i input.flv -vn -acodec copy out.mp3
提取视频：
ffmpeg -i input.flv -an -vcodec copy out.flv ok
ffmpeg -i input.flv out.flv -an -vcodec copy error------->注意参数顺序
音视频都提取：
ffmpeg -i input.flv -an out1.flv -vn out2.mp3
4.提取图片：ok
ffmpeg -i input.avi -y -f image2 -ss 8 -t 0.001 -s 350x240 out.jpg
5.压缩文件：ok
ffmpeg -i input.mp3 -ab 128 out.mp3
6.截取指定的时间间隔的视频：ok
ffmpeg -ss 00:00:10 -t 00:01:22 -i 五月天-突然好想你.mp3 out.mp3
7.屏幕录像：
ffmpeg -f x11grab -s xga -r 10 -i :0.0+0+0 wheer.avi
ffmpeg -f x11grab -s 320x240 -r 10 -i :0.0+100+200 wheer.avi
ffmpeg -f x11grab -s xga -qscale 5 -r 10 -i :0.0+0+0 wheer.avi
8.屏幕录像，同时录音：
ffmpeg -f oss -i /dev/dsp -f x11grab -r 30 -s 1024x768 -i :0.0 output.mkv
ffmpeg -ac 2 -f oss -i /dev/dsp -f x11grab -r 30 -s 1024x768 -i :0.0 -acodec pcm_s16le -vcodec libx264 -vpre lossless_ultrafast -threads 0 output.mkv
9.屏幕录像，指定窗口：
10.视频连接：
ffmpeg -i input1.avi -i input2.avi output.avi -vcodec copy -acodec copy
11.分割视频：ok
ffmpeg -ss 01:00:00 -i input.mp4 -vcodec copy -acodec copy -t 00:06:00 out.mp4
四.参数：
1.常用参数：
-ab bitrate 设置音频码率
-acodec codec 使用codec编解码
-ac channels 设置通道,缺省为1
-ar freq 设置音频采样率
-r fps 设置帧频,缺省25
-b bitrate 设置比特率,缺省200kb/s
-qscale 6或4 使用动态码率来设置
我的解决方法就是h264转mpeg1video即可。
三 总结
本人微信 2267348110 ，从博客收获了一大堆学术界的朋友，如果遇到问题请直接加我微信，私信看到回复，然后也会持续更新，评论区偶尔会回下，但是很少，其他博客也都可以看看，互相学习。
奥利给！