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| author | Gyan Doshi <ffmpeg@gyani.pro> | 2021-05-19 14:50:00 +0530 |
|---|---|---|
| committer | Gyan Doshi <ffmpeg@gyani.pro> | 2021-05-19 14:50:00 +0530 |
| commit | 2261cc6d8ae57de498d0efb6af61ccf4b101790d (patch) | |
| tree | 1cef26c3e4c799d091a380805ef340ab3516a4a3 | |
| parent | f9eb440e788c08c489bb1a6d24dbbe34f4597f1c (diff) | |
| download | ffmpeg-2261cc6d8ae57de498d0efb6af61ccf4b101790d.tar.gz | |
doc/filters: note order of inputs for libvmaf
| -rw-r--r-- | doc/filters.texi | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/doc/filters.texi b/doc/filters.texi index 1a8843fe4f..a8797e5dc3 100644 --- a/doc/filters.texi +++ b/doc/filters.texi @@ -14008,6 +14008,8 @@ ffmpeg -i input.mov -vf lensfun=make=Canon:model="Canon EOS 100D":lens_model="Ca Obtain the VMAF (Video Multi-Method Assessment Fusion) score between two input videos. +The first input is the encoded video, and the second input is the reference video. + The obtained VMAF score is printed through the logging system. It requires Netflix's vmaf library (libvmaf) as a pre-requisite. |