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• Revision 3537 : Le test doit porter sur le diogène et non le type de formulaire

  3 juin 2010, par kent1 — Log

  Le test doit porter sur le diogène et non le type de formulaire

• Sporadic "Error parsing Cues... Operation not permitted" errors when trying to generate a DASH manifest

  22 novembre 2023, par kshetline

  I have already-generated .webm audio and video files (1 audio, 3 video resolutions for each video I want to stream). The video has been generated not (directly) by ffmpeg, but HandbrakeCLI 1.7.0, with V9 encoding. The audio (which has never caused an error) is generated by ffmpeg using libvorbis.

  


  Most of the time ffmpeg (version 6.1) creates a manifest without any problem. Sporadically, however, "Error parsing Cues" comes up (frequently with the latest videos I've been trying to process) and I can't create a manifest. Since this is happening during an automated process to process many videos for streaming, the audio and video sources are being created exactly the same way whether ffmpeg succeeds or fails in generating a manifest, making this all the more confusing.

  


  The video files ffmpeg chokes on play perfectly well using VLC, and mediainfo doesn't show any problems with these files.

  


  Here's the way I've been (sometimes successfully, sometimes not) generating a manifest, with extra logging added :

  


  ffmpeg -v 9 -loglevel 99 \
  -f webm_dash_manifest -i '.\Sample Video.v480.webm' \
  -f webm_dash_manifest -i '.\Sample Video.v720.webm' \
  -f webm_dash_manifest -i '.\Sample Video.v1080.webm' \
  -f webm_dash_manifest -i '.\Sample Video.audio.webm' \
  -c copy -map 0 -map 1 -map 2 -map 3 \
  -f webm_dash_manifest -adaptation_sets "id=0,streams=0,1,2 id=1,streams=3" \
  '.\Sample Video.mpd'


  


  Here's the result when it fails :

  


  ffmpeg version 6.1-full_build-www.gyan.dev Copyright (c) 2000-2023 the FFmpeg developers
  built with gcc 12.2.0 (Rev10, Built by MSYS2 project)
  configuration: --enable-gpl --enable-version3 --enable-static --pkg-config=pkgconf --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-bzlib --enable-lzma --enable-libsnappy --enable-zlib --enable-librist --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-libbluray --enable-libcaca --enable-sdl2 --enable-libaribb24 --enable-libaribcaption --enable-libdav1d --enable-libdavs2 --enable-libuavs3d --enable-libzvbi --enable-librav1e --enable-libsvtav1 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxavs2 --enable-libxvid --enable-libaom --enable-libjxl --enable-libopenjpeg --enable-libvpx --enable-mediafoundation --enable-libass --enable-frei0r --enable-libfreetype --enable-libfribidi --enable-libharfbuzz --enable-liblensfun --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-ffnvcodec --enable-nvdec --enable-nvenc --enable-dxva2 --enable-d3d11va --enable-libvpl --enable-libshaderc --enable-vulkan --enable-libplacebo --enable-opencl --enable-libcdio --enable-libgme --enable-libmodplug --enable-libopenmpt --enable-libopencore-amrwb --enable-libmp3lame --enable-libshine --enable-libtheora --enable-libtwolame --enable-libvo-amrwbenc --enable-libcodec2 --enable-libilbc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enable-ladspa --enable-libbs2b --enable-libflite --enable-libmysofa --enable-librubberband --enable-libsoxr --enable-chromaprint
  libavutil      58. 29.100 / 58. 29.100
  libavcodec     60. 31.102 / 60. 31.102
  libavformat    60. 16.100 / 60. 16.100
  libavdevice    60.  3.100 / 60.  3.100
  libavfilter     9. 12.100 /  9. 12.100
  libswscale      7.  5.100 /  7.  5.100
  libswresample   4. 12.100 /  4. 12.100
  libpostproc    57.  3.100 / 57.  3.100
Splitting the commandline.
Reading option '-v' ... matched as option 'v' (set logging level) with argument '9'.
Reading option '-loglevel' ... matched as option 'loglevel' (set logging level) with argument '99'.
Reading option '-f' ... matched as option 'f' (force format) with argument 'webm_dash_manifest'.
Reading option '-i' ... matched as output url with argument '.\Sample Video.v480.webm'.
Reading option '-f' ... matched as option 'f' (force format) with argument 'webm_dash_manifest'.
Reading option '-i' ... matched as output url with argument '.\Sample Video.v720.webm'.
Reading option '-f' ... matched as option 'f' (force format) with argument 'webm_dash_manifest'.
Reading option '-i' ... matched as output url with argument '.\Sample Video.v1080.webm'.
Reading option '-f' ... matched as option 'f' (force format) with argument 'webm_dash_manifest'.
Reading option '-i' ... matched as output url with argument '.\Sample Video.audio.webm'.
Reading option '-c' ... matched as option 'c' (codec name) with argument 'copy'.
Reading option '-map' ... matched as option 'map' (set input stream mapping) with argument '0'.
Reading option '-map' ... matched as option 'map' (set input stream mapping) with argument '1'.
Reading option '-map' ... matched as option 'map' (set input stream mapping) with argument '2'.
Reading option '-map' ... matched as option 'map' (set input stream mapping) with argument '3'.
Reading option '-f' ... matched as option 'f' (force format) with argument 'webm_dash_manifest'.
Reading option '-adaptation_sets' ... matched as AVOption 'adaptation_sets' with argument 'id=0,streams=0,1,2 id=1,streams=3'.
Reading option '.\Sample Video.mpd' ... matched as output url.
Finished splitting the commandline.
Parsing a group of options: global .
Applying option v (set logging level) with argument 9.
Successfully parsed a group of options.
Parsing a group of options: input url .\Sample Video.v480.webm.
Applying option f (force format) with argument webm_dash_manifest.
Successfully parsed a group of options.
Opening an input file: .\Sample Video.v480.webm.
[webm_dash_manifest @ 000002bbcb41dc80] Opening '.\Sample Video.v480.webm' for reading
[file @ 000002bbcb41e300] Setting default whitelist 'file,crypto,data'
st:0 removing common factor 1000000 from timebase
[webm_dash_manifest @ 000002bbcb41dc80] Error parsing Cues
[AVIOContext @ 000002bbcb41e5c0] Statistics: 102283 bytes read, 4 seeks
[in#0 @ 000002bbcb41dac0] Error opening input: Operation not permitted
Error opening input file .\Sample Video.v480.webm.
Error opening input files: Operation not permitted


  


  This is mediainfo for the offending input file, Sample Video.v480.webm :

  


  General
Complete name                            : .\Sample Video.v480.webm
Format                                   : WebM
Format version                           : Version 2
File size                                : 628 MiB
Duration                                 : 1 h 34 min
Overall bit rate                         : 926 kb/s
Frame rate                               : 23.976 FPS
Encoded date                             : 2023-11-21 16:48:35 UTC
Writing application                      : HandBrake 1.7.0 2023111500
Writing library                          : Lavf60.16.100

Video
ID                                       : 1
Format                                   : VP9
Format profile                           : 0
Codec ID                                 : V_VP9
Duration                                 : 1 h 34 min
Bit rate                                 : 882 kb/s
Width                                    : 720 pixels
Height                                   : 480 pixels
Display aspect ratio                     : 16:9
Frame rate mode                          : Constant
Frame rate                               : 23.976 (24000/1001) FPS
Color space                              : YUV
Chroma subsampling                       : 4:2:0
Bit depth                                : 8 bits
Bits/(Pixel*Frame)                       : 0.106
Stream size                              : 598 MiB (95%)
Default                                  : Yes
Forced                                   : No
Color range                              : Limited
Color primaries                          : BT.709
Transfer characteristics                 : BT.709
Matrix coefficients                      : BT.709


  


  I don't know if I need different command line options, or whether this might be an ffmpeg or Handbrake bug. It has taken many, many hours to generate these video files (VP9 is painfully slow to encode), so I hate to do a lot of this over again, especially doing it again encoding the video with ffmpeg instead of Handbrake, as Handbrake is (oddly enough, considering it uses ffmpeg under the hood) noticeably faster.

  


  I have no idea what these "Cues" are that ffmpeg wants and can't parse, or how I would change them.

  


• Start and end time of MoviePy's VideoClip not working

  21 mars 2024, par ernesto casco velazquez

  I'm trying to add captions to a video. The desired outcome is to show each word in the exact moment is being said.

  


  I have a method that gives me the accurate time start and end per each word :

  


  def get_words_per_time(audio_speech_file):
    model = whisper.load_model("base")
    transcribe = model.transcribe(
        audio=audio_speech_file, fp16=False, word_timestamps=True
    )
    segments = transcribe["segments"]
    words = []

    for seg in segments:
        for word in seg["words"]:
            words.append(
                {
                    "word": word["word"],
                    "start": word["start"],
                    "end": word["end"],
                    "prob": round(word["probability"], 4),
                }
            )
    return words


  


  Then I have a code that uses MoviePy to create TextClip and assing a given start and end time per pair of words (I know there are redundant statements, srry) :

  


  def generate_captions(
    words,
    font="Komika",
    fontsize=32,
    color="White",
    align="center",
    stroke_width=3,
    stroke_color="black",
):
    text_comp = []
    for i in track(range(0, len(words), 2), description="Creating captions..."):
        word1 = words[i]
        if i + 1 < len(words):
            word2 = words[i + 1]
        text_clip = TextClip(
            f"{word1['word']} {word2['word'] if i + 1 < len(words) else ''}",
            font=font,  # Change Font if not found
            fontsize=fontsize,
            color=color,
            align=align,
            method="caption",
            size=(660, None),
            stroke_width=stroke_width,
            stroke_color=stroke_color,
        )
        text_clip = text_clip.set_start(word1["start"])
        text_clip = text_clip.set_end(
            word2["end"] if i + 1 < len(words) else word1["end"]
        )
        text_comp.append(text_clip)
    return text_comp


  


  Finally, I concatenate the words into a single video :

  


  vid_clip = CompositeVideoClip(
    [vid_clip, concatenate_videoclips(text_comp).set_position(("center", 860))]
)


  


  The output is this, but you can clearly see the words are not flowing with the speech. They somehow move faster as if the start/end time did not matter. Here's the video

  


  The words with their respective start/end time, look like this :

  


  [
    {
        'word': 'This',
        'start': 0.0,
        'end': 0.22,
        'prob': 0.805
    },
    {
        'word': 'is',
        'start': 0.22,
        'end': 0.42,
        'prob': 0.9991
    },
    {
        'word': 'a',
        'start': 0.42,
        'end': 0.6,
        'prob': 0.999
    },
    {
        'word': 'test,
        ',
        'start': 0.6,
        'end': 1.04,
        'prob': 0.9939
    },
    {
        'word': 'to',
        'start': 1.18,
        'end': 1.3,
        'prob': 0.9847
    },
    {
        'word': 'show',
        'start': 1.3,
        'end': 1.54,
        'prob': 0.9971
    },
    {
        'word': 'words',
        'start': 1.54,
        'end': 1.9,
        'prob': 0.995
    },
    {
        'word': 'does',
        'start': 1.9,
        'end': 2.16,
        'prob': 0.997
    },
    {
        'word': 'not',
        'start': 2.16,
        'end': 2.4,
        'prob': 0.9978
    },
    {
        'word': 'appear.',
        'start': 2.4,
        'end': 2.82,
        'prob': 0.9984
    },
    {
        'word': 'At',
        'start': 3.46,
        'end': 3.6,
        'prob': 0.9793
    },
    {
        'word': 'their',
        'start': 3.6,
        'end': 3.8,
        'prob': 0.9984
    },
    {
        'word': 'proper',
        'start': 3.8,
        'end': 4.22,
        'prob': 0.9976
    },
    {
        'word': 'time.',
        'start': 4.22,
        'end': 4.72,
        'prob': 0.999
    },
    {
        'word': 'Thanks',
        'start': 5.04,
        'end': 5.4,
        'prob': 0.9662
    },
    {
        'word': 'for,
        ',
        'start': 5.4,
        'end': 5.66,
        'prob': 0.9941
    },
    {
        'word': 'watching.',
        'start': 5.94,
        'end': 6.36,
        'prob': 0.7701
    }
]


  


  What could be causing this ?