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• I use msys2 compile ffmpeg which Support Nividia hardware acceleration,the error [on hold]

  11 juillet 2017, par 秦先生

  I use msys2 compile ffmpeg which Support nividia hardware acceleration, I’ll do it in accordance with the requirements of nividia ’s document.
  When I execute ./configure command,this is the error ,the log file ffbuild/config.log contain this error.
  my command : ./configure —enable-nonfree —enable-nvenc —enable-cuda —enable-cuvid —enabl e-libnpp —extra-cflags=-Ilocal/include —extra-cflags=-I../include —extra-ldflag s=-L../lib

  the error : : note : this is the location of the previous definition
  gcc -L../lib -Wl,—nxcompat,—dynamicbase -Wl,—high-entropy-va -Wl,—as-needed -Wl,—image-base,0x140000000 -o /tmp/ffconf.eoLFY0Lt.exe /tmp/ffconf.Z00DOpJQ.o -lnppi -lnppc -lm -pthread -pthread -lpsapi -ladvapi32 -lshell32
  ../lib/nppc.lib(nppc64_80.dll.b) :(.text+0x2) : relocation truncated to fit : R_X86_64_32 against symbol `__imp_nppGetLibVersion’ defined in .idata$5 section in ../lib/nppc.lib(nppc64_80.dll.b)
  collect2 : error : ld returned 1 exit status
  ERROR : libnpp not found

  My computer configuration : cpu:intel(R) core(TM) i3-4170 3.70HZ RAM 16GB operate system win7 64 bit

  I used software : ffmpeg 3.2.4 gcc 5.3.0

• Posthoc connect FFMPEG to opencv-python binary for Google Cloud Dataflow job

  16 juillet 2017, par bw4sz

  I would like to run some video processing jobs on linux based compute engines on Google Cloud DataFlow. Cloud DataFlow requires you to build a setup.py file, or supply dependencies in a requirements.txt.

  https://cloud.google.com/dataflow/pipelines/dependencies-python

  My video process requires opencv in python with FFMPEG support. I would like to avoid building opencv from source, as this takes nearly 35 minutes for each worker to git clone/make/make install.

  There is a linux python binary .whl that works great. But its specifically compiled without FFMPEG.

  From https://pypi.python.org/pypi/opencv-python

  "IMPORTANT NOTE

  MacOS and Linux wheels have currently some limitations :

  video related functionality is not supported (not compiled with FFmpeg)"

  Is it possible to post-hoc connect FFMPEG to the binary ? That is download FFMPEG and its libraries separately and still read video ? I know this is contrived, but are are there any options here besides building opencv from source for every new worker ?

• Using ffmpeg with vid.stab on Ubuntu 17.06

  29 juillet 2017, par Andreas Mueller

  I’m trying to use ffmpeg with vid.stab on Ubuntu 17.04 as described here. However, it seems like there is no ppa for 17.04, so I was trying to build from source following these instructions.

  I was able to build ffmpeg and vid.stab from the git repositories, but I was not able to install the ffmpeg debian package that was created. The package has file conflicts with the libavcodec57 package (both contain libavcodec.so.57), so I tried uninstalling that. But ffmpeg also has a dependency on libchromaprint1 which in turn depends on libavcodec57. So there seems to be no way to fulfill the package requirements.

  Any help compiling or even better, pointers to pre-compiled packages would be much appreciated.