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doc/filters: add thumbnail_cuda entry
Also update thumbnail_cuda filter description.
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Gyan Doshi
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3e32dc8b08
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1015ea2ba1
@@ -26917,6 +26917,34 @@ scale_cuda=passthrough=0
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@end example
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@end itemize
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@subsection thumbnail_cuda
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Select the most representative frame in a given sequence of consecutive frames using CUDA.
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The filter accepts the following options:
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@table @option
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@item n
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Set the frames batch size to analyze; in a set of @var{n} frames, the filter
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will pick one of them, and then handle the next batch of @var{n} frames until
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the end. Default is @code{100}.
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@end table
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Since the filter keeps track of the whole frames sequence, a bigger @var{n}
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value will result in a higher memory usage, so a high value is not recommended.
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@subsubsection Example
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@itemize
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@item
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Thumbnails are extracted from every @var{n}=150-frame batch, selecting one per batch. Chosen frames are then scaled with @ref{scale_cuda}.
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@example
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./ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i ./input.mp4 -vf "thumbnail_cuda=150,scale_cuda=1920:1080,hwdownload,format=nv12" ./output/out%03d.png
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@end example
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@end itemize
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@subsection yadif_cuda
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Deinterlace the input video using the @ref{yadif} algorithm, but implemented
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@@ -438,7 +438,7 @@ static const AVFilterPad thumbnail_cuda_outputs[] = {
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const FFFilter ff_vf_thumbnail_cuda = {
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.p.name = "thumbnail_cuda",
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.p.description = NULL_IF_CONFIG_SMALL("Select the most representative frame in a given sequence of consecutive frames."),
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.p.description = NULL_IF_CONFIG_SMALL("Select the most representative frame in a given sequence of consecutive frames using CUDA."),
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.p.priv_class = &thumbnail_cuda_class,
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.priv_size = sizeof(ThumbnailCudaContext),
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.init = init,
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