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• Anomalie #4200 : Les accents dans les liens hypertextes

  24 octobre 2018, par Jules Balarate

  Alors oui effectivement il y a un mystère que l’on peine à comprendre dans les pointages, on pense du contenu dupliqué, on va analyser. Je ferme le ticket ou pas dans un moment si c’est pas Spip

• Obscure error while transcoding a video with FFMPEG

  8 juillet 2016, par ZiggidyCreative

  thanks for taking a moment to look at this FFMPEG error i’m having. I’m trying to transcode any video file, recorded in portrait mode and crop it to a square using the top portion and then size it down to 600x600 square. Here is the command i’m using :

  ffmpeg -y -i input-video.mov -filter_complex '[0] crop=1080:1080:0:0, scale=600:600, split=2[out1][out2]' -map '[out1]' video/transcoded-video.mp4 -map '[out2]' -qscale:v 6 thumbnails/thumb_%03d.png

  Here are the errors :

  [swscaler @ 0x2502260] No accelerated colorspace conversion found from yuv420p to rgb24.
  
  [swscaler @ 0x250a2b0] No accelerated colorspace conversion found from yuv420p to rgb24.
  
  [swscaler @ 0x2512300] No accelerated colorspace conversion found from yuv420p to rgb24.
  
  [NULL @ 0x24e9dd0] [Eval @ 0x7fff769243e0] Undefined constant or missing '(' in 'baseline'
  
  [NULL @ 0x24e9dd0] Unable to parse option value "baseline"
  
  [NULL @ 0x24e9dd0] Error setting option profile to value baseline.

  Here is the output :

  ffmpeg version git-2013-06-02-5711e4f Copyright (c) 2000-2013 the FFmpeg developers
  
   built on Jun  2 2013 07:38:40 with gcc 4.4.3 (Ubuntu 4.4.3-4ubuntu5.1)
  
   configuration: --enable-shared --disable-asm --prefix=/app/vendor/ffmpeg
  
   libavutil      52. 34.100 / 52. 34.100
  
   libavcodec     55. 13.100 / 55. 13.100
  
   libavformat    55.  8.102 / 55.  8.102
  
   libavdevice    55.  2.100 / 55.  2.100
  
   libavfilter     3. 74.101 /  3. 74.101
  
   libswscale      2.  3.100 /  2.  3.100
  
   libswresample   0. 17.102 /  0. 17.102
  
  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/app/downloads/bf951fbc8322d9010d679e656ccda330b6f19f36.mov':
  
   Metadata:
  
     major_brand     : qt  
  
     minor_version   : 0
  
     compatible_brands: qt  
  
     creation_time   : 2016-07-01 19:27:37
  
   Duration: 00:00:04.77, start: 0.000000, bitrate: 17881 kb/s
  
     Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1920x1080, 17874 kb/s, 29.98 fps, 30 tbr, 600 tbn, 1200 tbc
  
     Metadata:
  
       rotate          : 90
  
       creation_time   : 2016-07-01 19:27:37
  
       handler_name    : Core Media Data Handler
  
  [swscaler @ 0x2502260] No accelerated colorspace conversion found from yuv420p to rgb24.
  
  [swscaler @ 0x250a2b0] No accelerated colorspace conversion found from yuv420p to rgb24.
  
  [swscaler @ 0x2512300] No accelerated colorspace conversion found from yuv420p to rgb24.
  
  [NULL @ 0x24e9dd0] [Eval @ 0x7fff769243e0] Undefined constant or missing '(' in 'baseline'
  
  [NULL @ 0x24e9dd0] Unable to parse option value "baseline"
  
  [NULL @ 0x24e9dd0] Error setting option profile to value baseline.
  
  Output #0, mp4, to '/app/outputs/2091/bf951fbc8322d9010d679e656ccda330b6f19f36.mp4':
  
   Metadata:
  
     major_brand     : qt  
  
     minor_version   : 0
  
     compatible_brands: qt  
  
     Stream #0:0: Video: mpeg4, yuv420p, 600x600, q=2-31, 200 kb/s, 90k tbn, 30 tbc
  
  Output #1, image2, to '/app/outputs/2091/thumbs/thumb_%03d.png':
  
   Metadata:
  
     major_brand     : qt  
  
     minor_version   : 0
  
     compatible_brands: qt  
  
     Stream #1:0: Video: png, rgb24, 600x600, q=2-31, 200 kb/s, 90k tbn, 30 tbc
  
  Stream mapping:
  
   Stream #0:0 (h264) -> crop
  
   split:output0 -> Stream #0:0 (mpeg4)
  
   split:output1 -> Stream #1:0 (png)

  Thanks again for looking at this and anything will help.

• ffmpeg : combining/ordering vidstab and crop filters

  30 juillet 2016, par ljwobker

  I have a workflow which essentially takes a raw video file, crops away portions of the frame that aren’t relevant, then performs a two-pass deshake filter using the vidstab filter. At the moment I’m running this as three distinct commands : one to do the crop, a second to do the vidstab "detect" pass, and a third to do the vidstab "transform" pass.

  My working script :

  # do the crop first and strip the audio
  
  nice -20 ffmpeg -hide_banner -ss $SEEK -i $INFILE -t $DURATION -preset veryfast -crf 12 -vf crop=0.60*in_w:in_h/9*8:0.22*in_w:0 -an -y $TEMP
  
  
  
  # now run the vidstab detection pass
  
  nice -20 ffmpeg -hide_banner -i $TEMP -vf vidstabdetect=stepsize=6:shakiness=10:accuracy=15:result=${INFILE}.trf -f null - 
  
  
  
  # now the vidstab transform, with unsharp and writing the overlay text
  
  nice -20 ffmpeg -hide_banner -i $TEMP -preset veryfast -crf 22 -vf \
  
  " \
  
  vidstabtransform=input=${INFILE}.trf:zoom=2:smoothing=60, 
  
  unsharp=5:5:0.8:3:3:0.4, 
  
  drawtext=fontfile=/Windows/Fonts/arialbd.ttf:text=$DIVE:enable='between(t,0,65)':fontcolor=black:fontsize=72:x=w*0.01:y=h*0.01,  
  
  null"\
  
    -y $OUTFILE

  What I can’t seem to figure out is how I can combine the first two filter passes into a single chain, which (at least in theory) would be a faster encode time, and at the very least would be simpler to maintain and would eliminate a pass of the encoder. What I tried to do was the second code block, which just builds a filterchain that combines the initial crop with the vidstab detection filter.

  # this is a combined filter for the crop and the vidstab detect
  
  nice -20 ffmpeg -hide_banner -ss $SEEK -i $INFILE -t $DURATION -preset veryfast -crf 12 -vf \
  
  " \
  
  crop=0.60*in_w:in_h/9*8:0.22*in_w:0,
  
  vidstabdetect=stepsize=6:shakiness=10:accuracy=15:result=${INFILE}.trf,
  
  null " \
  
  -an -r 30 -y $TEMP
  
  
  
  
  
  # now run the transcoding and the vidstab transform
  
  nice -20 ffmpeg -hide_banner -i $TEMP -preset veryfast -crf 22 -vf \
  
  " \
  
  
  
  vidstabtransform=input=${INFILE}.trf:zoom=2:smoothing=60, 
  
  unsharp=5:5:0.8:3:3:0.4, 
  
  drawtext=fontfile=/Windows/Fonts/arialbd.ttf:text=$DIVE:enable='between(t,0,65)':fontcolor=black:fontsize=72:x=w*0.01:y=h*0.01,  
  
  
  
  null"\
  
    -y $OUTFILE

  However, when I run this (and it runs) the final output video has most definitely NOT been effectively stabilized. The logs show that both the detect and the transform passes have been processed, it’s just that the output isn’t right.