nv-codec-headers | automatic mirror of https://gitvideolanorg/?p=ffmpeg/nv-codec-headersgit
kandi X-RAY | nv-codec-headers Summary
kandi X-RAY | nv-codec-headers Summary
FFmpeg version of headers required to interface with Nvidias codec APIs. Corresponds to Video Codec SDK version 11.1.5. Minimum required driver versions: Linux: 470.57.02 or newer Windows: 471.41 or newer.
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QUESTION
image: docker tensorflow/tensorflow:1.10.0-devel-gpu-py3 os: ubuntu 16.04 cuda: 9.0.176
ffmpeg pulled from github and nv-codec-headers downloaded from videolan, both the latest version
step 1: cd /nv-codec-headers and make && make install
step 2: cd /ffmpeg (the ffmpeg source) , ./configure --extra-cflags=-I/usr/local/include --extra-ldconfig=-L/usr/local/lib --enable-gpl --enable-lbopus --enable-librtmp --enable-libx264 --enable-nonfree --enable-libnpp --enable-cuvid --enable-nvenc --enable-cuda
output: ERROR: libnpp not found
I also tried compiling ffmpeg with cuda 10, but it seemed the same problem. but if I deleted "--enable-libnpp" then ./configure works.
the config.log has many errors:
...ANSWER
Answered 2019-Apr-28 at 07:30After installed a package named cuda-npp-, the problem was solved. For more information, you can come here
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