projekte:vector_graphics_adapter_en

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projekte:vector_graphics_adapter_en [2015/12/16 18:23] – [Screen Capture] da1l6projekte:vector_graphics_adapter_en [2015/12/16 20:57] – da1l6
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       * The edgedetect filter from ffmpeg/libavfilter can also be used (-vf lavfi=edgedetect). This gives slightly better results but only works with ffmpeg, not libav.       * The edgedetect filter from ffmpeg/libavfilter can also be used (-vf lavfi=edgedetect). This gives slightly better results but only works with ffmpeg, not libav.
     - Follwing the edge detection a second filter is used to extract the contours from the image. The FindContours function from openCV takes the image and extracts its contours as paths of vectors (--vf vector).     - Follwing the edge detection a second filter is used to extract the contours from the image. The FindContours function from openCV takes the image and extracts its contours as paths of vectors (--vf vector).
-  * The same filter iterates over these paths to create a "vector image". In this image the red and green color channels of each pixel contain the coordinates of the edge path vectors.+  * The vector filter also iterates over these paths to create a "vector image". In this image the red and green color channels of each pixel contain the coordinates of the edge path vectors.
     * The availiable "pixels" of the vector image are distributed among the vectors to draw by writing the same value multiple times. This ensures the entire image and thus VGA scanout time is used.     * The availiable "pixels" of the vector image are distributed among the vectors to draw by writing the same value multiple times. This ensures the entire image and thus VGA scanout time is used.
     * The ffmpeg edgedetect filter provides an intensity value in its output depending on how sharp an edge is.     * The ffmpeg edgedetect filter provides an intensity value in its output depending on how sharp an edge is.
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     * With ffmpeg edge detection:<code>/path/to/build/mpv --fs --geometry=<WIDTH-PRIMARY-MONITOR>:0 --loop --vf scale=576:512,lavfi=[edgedetect=high=0.04:low=0.03],vector:width=2048:height=200 <VIDEO></code>     * With ffmpeg edge detection:<code>/path/to/build/mpv --fs --geometry=<WIDTH-PRIMARY-MONITOR>:0 --loop --vf scale=576:512,lavfi=[edgedetect=high=0.04:low=0.03],vector:width=2048:height=200 <VIDEO></code>
     * With openCV edge detection:<code>/path/to/build/mpv --fs --geometry=<WIDTH-PRIMARY-MONITOR>:0 --loop --vf scale=576:512,canny:t1=128:t2=130,vector:width=2048:height=200 <VIDEO></code>     * With openCV edge detection:<code>/path/to/build/mpv --fs --geometry=<WIDTH-PRIMARY-MONITOR>:0 --loop --vf scale=576:512,canny:t1=128:t2=130,vector:width=2048:height=200 <VIDEO></code>
-    * The optimal values for t1 (bzw. low) and t2 (bzw. high) can depend on source video. Just try a few.+    * The optimal values for t1 (or low) and t2 (or high) can depend on source video. Just try a few.
     * The canny edge detection is a CPU hog. Because of this ''--vf scale:w:h'' is used to scale down the image before running it.     * The canny edge detection is a CPU hog. Because of this ''--vf scale:w:h'' is used to scale down the image before running it.
  
  • projekte/vector_graphics_adapter_en.txt
  • Zuletzt geändert: 2017/03/01 19:19
  • von 127.0.0.1