I`m trying to compile ffmpeg in windows with nvidia libraries for hardware acceleration using MinGW/msys. tried to follow the instruction on nvidias website (section: Getting Started with FFmpeg/libav using NVIDIA GPUs). configured with --enable-nonfree --disable-shared --enable-nvenc --enable-cuda --enable-cuvid --enable-libnpp --extra-cflags=-Ilocal/include --extra-cflags=-I../common/inc --extra-ldflags=-L../common/lib/x64 --prefix=ffmpeg but stopped at "ERROR: libnpp not found." where common folder is downloaded from NVIDIA Video Codec SDK but there is no npp libs or header files. is there any solution for that? thanks for edvice.
4 Answers
I managed to successfuly cross compile ffmpeg under linux targeting Windows 64 bit with --enable-libnpp included.
My environment is Ubuntu Server 16.10 64bit.
After a fresh installation I installed MinGW using the command:
sudo apt-get install mingw-w64
First I successfully compiled the Linux version with the --enable-libnpp option activated following the instructions on the NVIDIA dev site Compile Ffmpeg with NVIDIA Video Codec SDK.
In order to do that you need to install the CUDA Toolkit. Just follow the instructions and the package installer will create the symbolic links (I have the CUDA Toolkit 8.0):
/usr/local/cuda/include/ -> /usr/local/cuda-8.0/targets/x86_64-linux/include
/usr/local/cuda/lib64/ -> /usr/local/cuda-8.0/targets/x86_64-linux/lib
This should provide Configure the right path to find the correct libraries and headers.
The command line I have used to compile the linux version of ffmpeg is:
./configure --enable-nonfree --disable-shared --enable-nvenc --enable-cuda --enable-cuvid --enable-libnpp --extra-cflags=-I/usr/local/cuda/include/ --extra-ldflags=-L/usr/local/cuda/lib64/
The problem you got is that when using cross-compilation you need to provide Configure the right path where to find headers and library for the Windows version of the libnpp library.
From the CUDA Toolkit Download page mentioned above I simply downloaded the exe(local) version of the Windows package.
Under the root of my working folder I created a folder called tmp where I copied the subfolders I found under npp_dev inside the package cuda_8.0.61_win10.exe:
cuda_8.0.61_win10.exe\npp_dev\lib -> tmp/lib
cuda_8.0.61_win10.exe\npp_dev\include -> tmp/include
As final step I launched Configure once again using the following parameters:
./configure --arch=x86_64 --target-os=mingw32 --cross-prefix=x86_64-w64-mingw32- --pkg-config=pkg-config --enable-nonfree --disable-shared --enable-nvenc --enable-cuda --enable-cuvid --enable-libnpp --extra-cflags=-I/usr/local/include --extra-cflags=-I/usr/local/cuda/include/ --extra-ldflags=-L/usr/local/cuda/lib64/ --extra-cflags=-I../tmp/include/ --extra-ldflags=-L../tmp/lib/x64/
The compilation completed successully. When I copied the ffmpeg.exe file to Windows and tried to execute it I got an errore message saying the executable was missing some npp_*.dll.
From the package cuda_8.0.61_win10.exe I copied all the dlls included into the folder npp\bin to the same directory I put ffmpeg.exe.
After that the application run normally and a simple conversion from a 4K file completed as expected.
Actually I went nuts about ffmpeg is not building with the same problem. I fianally managed to get it worked under Windows 10 x64:
Download msys2 from https://www.msys2.org/ and install all packages with Pacman
pacman -Supacman -S makepacman -S diffutilspacman -S yasmpacman -S mingw-w64-x86_64-gccpacman -S mingw-w64-x86_64-toolchainadd pkgconfig to environment variable
PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfigAdd additional installed toolchain to path:
PATH=$PATH:/opt/binStart mingw64 version:
C:\msys64\msys2_shell.cmd -mingw64Download and install Cuda from nVidia https://developer.nvidia.com/cuda-downloads?target_os=Windows&target_arch=x86_64&target_version=10&target_type=exenetwork
Extract the downloaded file e.g.
cuda_11.2.2_461.33_win10.exewith 7zip locallyCopy
cuda_nvcc\nvcc\includeto your msys2 e.g.C:\msys64\tmp\nvidia_includeCopy
libnpp\npp_dev\lib\x64to yourC:\msys64\tmp\nvidia_lib\x64Copy
libnpp\npp_dev\includetoC:\msys64\tmp\nvidia_npp_includegit clone https://github.com/FFmpeg/FFmpeg.gittoC:\msys64\home\<user>git clone https://github.com/libav/libavtoC:\msys64\home\<user>Maybe optional step:
git clone https://git.videolan.org/git/ffmpeg/nv-codec-headers.gittoC:\msys64\home\<user>makemake installOptional because make install should have done this for you: Copy ffnvcodec.pc to
C:\msys64\usr\local\lib\pkgconfigBuild libav
avconv.exeandavprobe.exeare needed for ffmpeg later:cd C:\msys64\home\<user>\libav./configuremakemake installFinally build ffmpeg:
cd C:\msys64\home\<user>\ffmpeg./configure --enable-nonfree --disable-shared --enable-nvenc --enable-cuda --enable-cuvid --enable-libnpp --extra-cflags=-I/tmp/nvidia_npp_include --extra-cflags=-I/tmp/nvidia_include --extra-ldflags=-L/tmp/nvidia_lib/x64makemake installCopy
avconv.exeandavprobe.exeto ffmpeg directory
Done.
Bugfixing:
- Missing DLLs: find x64 missing DLLs on your harddisk or in internet.
- Use dependency walker for analyzing errors
- Download the newest nVidia drivers and use nSight making sure CUVID is supported for your graphic card.
This would seem to be caused by a broken configuration script in the FFmpeg code base. There is no library called npp in recent CUDA distributions, instead on Windows platforms you will have
nppc.lib
nppi.lib
npps.lib
and on linux
libnppc.so
libnppi.so
libnpps.so
You will either need to modify the configuration system yourself or file a bug request with the project developers to do it for you.
There might still be additional problems building the project with MinGW, but that is way beyond the scope of a Stack Overflow question.
If you check config.log, there may have a lot link warnings:LINK : warning LNK4044: unrecognized option '/L...'; ignored
causeERROR: libnpp not found.
Since /L is not a correct argument for msvc linker, in order to include library path, the argument should as follow:./configure .... --extra-cflags=-I/usr/local/cuda/... --extra-ldflags=-LIBPATH:/usr/local/cuda/...
This should able to solve the libnpp not found issue.
FYI, linker options are listed in the following link (included LIBPATH):
Linker Options