nv-codec-headers | automatic mirror of https://gitvideolanorg/?p=ffmpeg/nv-codec-headersgit

 by   FFmpeg C Version: n12.0.16.0 License: No License

kandi X-RAY | nv-codec-headers Summary

kandi X-RAY | nv-codec-headers Summary

nv-codec-headers is a C library. nv-codec-headers has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

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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              nv-codec-headers has a low active ecosystem.
              It has 206 star(s) with 75 fork(s). There are 26 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              nv-codec-headers has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of nv-codec-headers is n12.0.16.0

            kandi-Quality Quality

              nv-codec-headers has 0 bugs and 0 code smells.

            kandi-Security Security

              nv-codec-headers has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              nv-codec-headers code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              nv-codec-headers does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              nv-codec-headers releases are available to install and integrate.

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            nv-codec-headers Key Features

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            nv-codec-headers Examples and Code Snippets

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            Community Discussions

            Trending Discussions on nv-codec-headers

            QUESTION

            ffmpeg compilation failed with cuda, libnpp not found
            Asked 2019-Apr-28 at 07:30

            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 07:30

            After installed a package named cuda-npp-, the problem was solved. For more information, you can come here

            Source https://stackoverflow.com/questions/55813663

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install nv-codec-headers

            You can download it from GitHub.

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