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Linshizhi
ffmpeg.wasm-core
Commits
7b7037e5
Commit
7b7037e5
authored
Nov 06, 2017
by
Ashish Pratap Singh
Committed by
Ronald S. Bultje
Nov 06, 2017
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avfilter:vf_libvmaf: improve docs.
Signed-off-by:
Ronald S. Bultje
<
rsbultje@gmail.com
>
parent
4c38aa79
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doc/filters.texi
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7b7037e5
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@@ -9885,25 +9885,16 @@ distances from the focal point in the source and target images, respectively.
@section libvmaf
Obtain the
average
VMAF (Video Multi-Method Assessment Fusion)
Obtain the VMAF (Video Multi-Method Assessment Fusion)
score between two input videos.
This filter takes two input videos.
Both video inputs must have the same resolution and pixel format for
this filter to work correctly. Also it assumes that both inputs
have the same number of frames, which are compared one by one.
The obtained average VMAF score is printed through the logging system.
The obtained VMAF score is printed through the logging system.
It requires Netflix's vmaf library (libvmaf) as a pre-requisite.
After installing the library it can be enabled using:
@code{./configure --enable-libvmaf}.
If no model path is specified it uses the default model: @code{vmaf_v0.6.1.pkl}.
On the below examples the input file @file{main.mpg} being processed is
compared with the reference file @file{ref.mpg}.
The filter has following options:
@table @option
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@@ -9934,12 +9925,14 @@ Enables computing ssim along with vmaf.
Enables computing ms_ssim along with vmaf.
@item pool
Set the pool method to be used for computing vmaf.
Set the pool method
(mean, min or harmonic mean)
to be used for computing vmaf.
@end table
This filter also supports the @ref{framesync} options.
For example:
On the below examples the input file @file{main.mpg} being processed is
compared with the reference file @file{ref.mpg}.
@example
ffmpeg -i main.mpg -i ref.mpg -lavfi libvmaf -f null -
@end example
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