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doc/filters/find_rect: extend documentation
Document metadata entries set by the filter, extend and clarify options, add additional example showing how to extract the generated data. Address issue: http://trac.ffmpeg.org/ticket/8766
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@ -13768,7 +13768,35 @@ value.
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@section find_rect
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Find a rectangular object
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Find a rectangular object in the input video.
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The object to search for must be specified as a gray8 image specified with the
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@option{object} option.
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For each possible match, a score is computed. If the score reaches the specified
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threshold, the object is considered found.
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If the input video contains multiple instances of the object, the filter will
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find only one of them.
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When an object is found, the following metadata entries are set in the matching
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frame:
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@table @option
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@item lavfi.rect.w
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width of object
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@item lavfi.rect.h
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height of object
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@item lavfi.rect.x
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x position of object
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@item lavfi.rect.y
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y position of object
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@item lavfi.rect.score
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match score of the found object
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@end table
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It accepts the following options:
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@ -13777,7 +13805,12 @@ It accepts the following options:
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Filepath of the object image, needs to be in gray8.
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@item threshold
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Detection threshold, default is 0.5.
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Detection threshold, expressed as a decimal number in the range 0-1.
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A threshold value of 0.01 means only exact matches, a threshold of 0.99 means
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almost everything matches.
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Default value is 0.5.
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@item mipmaps
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Number of mipmaps, default is 3.
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@ -13797,6 +13830,16 @@ Cover a rectangular object by the supplied image of a given video using @command
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@example
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ffmpeg -i file.ts -vf find_rect=newref.pgm,cover_rect=cover.jpg:mode=cover new.mkv
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@end example
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@item
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Find the position of an object in each frame using @command{ffprobe} and write
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it to a log file:
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@example
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ffprobe -f lavfi movie=test.mp4,find_rect=object=object.pgm:threshold=0.3 \
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-show_entries frame=pkt_pts_time:frame_tags=lavfi.rect.x,lavfi.rect.y \
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-of csv -o find_rect.csv
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@end example
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@end itemize
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@section floodfill
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