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• What is the best way to split videos into equally sized parts using ffmpeg ? [closed]

  18 juin 2024, par GBPU

  I have tried to split an mp4 file into smaller parts of equal time length like this ffmpeg -i ../data/2024-06-02_12-34-51.mp4 -c copy -map 0 -segment_time 00:00:05 -f segment v1_%03d.mp4. However, this produced videos of highly variables size, some 25x larger than others. I assume this was due to inconsistent framerate during recording.

  


  Next, I tried a script that would split based and limit each part to a specific size :

  


  #!/bin/sh
# Short script to split videos by filesize using ffmpeg by LukeLR

if [ $# -ne 3 ]; then
    echo 'Illegal number of parameters. Needs 3 parameters:'
    echo 'Usage:'
    echo './split-video.sh FILE SIZELIMIT "FFMPEG_ARGS'
    echo 
    echo 'Parameters:'
    echo '    - FILE:        Name of the video file to split'
    echo '    - SIZELIMIT:   Maximum file size of each part (in bytes)'
    echo '    - FFMPEG_ARGS: Additional arguments to pass to each ffmpeg-call'
    echo '                   (video format and quality options etc.)'
    exit 1
fi

FILE="../data/$1"
SIZELIMIT="$2"
FFMPEG_ARGS="$3"

# Duration of the source video
DURATION=$(ffprobe -i "$FILE" -show_entries format=duration -v quiet -of default=noprint_wrappers=1:nokey=1|cut -d. -f -2)

# Duration that has been encoded so far
CURDURATION=0

# Filename of the source video (without extension)
BASENAME="${FILE%.*}"

# Extension for the video parts
#EXTENSION="${FILE##*.}"
EXTENSION="mp4"

# Number of the current video part
i=1

# Filename of the next video part
NEXTFILENAME="$BASENAME-$i.$EXTENSION"

echo "Duration of source video: $DURATION"

# Until the duration of all partial videos has reached the duration of the source video
#while [[ $CUR_DURATION -lt $DURATION ]]; do
while [[ $(bc <<< "$CURDURATION < $DURATION") -eq 1 ]]; do
    # Encode next part
    echo ffmpeg -i "$FILE" -ss "$CURDURATION" -fs "$SIZELIMIT" $FFMPEG_ARGS "$NEXTFILENAME"
    ffmpeg -ss "$CURDURATION" -i "$FILE" -fs "$SIZELIMIT" $FFMPEG_ARGS "$NEXTFILENAME"

    # Duration of the new part
    NEWDURATION=$(ffprobe -i "$NEXTFILENAME" -show_entries format=duration -v quiet -of default=noprint_wrappers=1:nokey=1|cut -d. -f -2)

    # Total duration encoded so far
    echo $CURDURATION
    CURDURATION=$(bc <<< "$CURDURATION + $NEWDURATION")
    echo $CURDURATION

    i=$((i + 1))

    echo "Duration of $NEXTFILENAME: $NEWDURATION"
    echo "Part No. $i starts at $CURDURATION"
    echo "Current Duration: $CURDURATION"

    NEXTFILENAME="$BASENAME-$i.$EXTENSION"
done


  


  I call the script like this : bash split-video.sh 2024-06-02_12-34-51.mp4 10000000 "-c copy"
Unfortunately, this has an issue where some of the sub videos are extremely short and have wildly inconsistent numbers of frames in them (some with nearly 400, others with 1), despite being similar sizes. I am guessing this has something to do with inconsistent framerate and keyframes or something ?

  


  I am curious what the best way to split a video into equally sized parts, and ideally with similar numbers of frames, is using ffmpeg.

  


• ffmpeg : getting larger gif file after optimization [closed]

  28 août 2024, par xaxa

  I'm trying to use ffmpeg to reduce the size of GIF images by lowering fps and color palette size. This is the command I use :

  


  ffmpeg -i initial.gif -filter_complex "[0]fps=${fps},split[m][t];[t]palettegen=max_colors=${max_colors}[p];[m][p]paletteuse" output.gif


  


  however, for some reason I'm getting larger files even if I do something as stupid as fps=1, max_colors=4.

  


  here's the initial file :


  


  here's what I've got after the transformation :


  


  the command was :

  


  ffmpeg -i eglite.gif -filter_complex "[0]fps=1,split[m][t];[t]palettegen=max_colors=4[p];[m][p]paletteuse" output.gif


  


  and the sizes I get are :

  


  -rw-r--r-- 1 work work    15860 Aug 26 11:30 eglite.gif
-rw-r--r-- 1 work work    21395 Aug 28 21:35 output.gif


  


  Here's my ffmpeg version :

  


  ffmpeg version n7.0.2 Copyright (c) 2000-2024 the FFmpeg developers
built with gcc 14.2.1 (GCC) 20240805
configuration: --prefix=/usr --disable-debug --disable-static --disable-stripping --enable-amf --enable-avisynth --enable-cuda-llvm --enable-lto --enable-fontconfig --enable-frei0r --enable-gmp --enable-gnutls --enable-gpl --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libdav1d --enable-libdrm --enable-libdvdnav --enable-libdvdread --enable-libfreetype --enable-libfribidi --enable-libgsm --enable-libharfbuzz --enable-libiec61883 --enable-libjack --enable-libjxl --enable-libmodplug --enable-libmp3lame --enable-libopencore_amrnb --enable-libopencore_amrwb --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libplacebo --enable-libpulse --enable-librav1e --enable-librsvg --enable-librubberband --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtheora --enable-libv4l2 --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpl --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxcb --enable-libxml2 --enable-libxvid --enable-libzimg --enable-nvdec --enable-nvenc --enable-opencl --enable-opengl --enable-shared --enable-vapoursynth --enable-version3 --enable-vulkan
libavutil      59.  8.100 / 59.  8.100
libavcodec     61.  3.100 / 61.  3.100
libavformat    61.  1.100 / 61.  1.100
libavdevice    61.  1.100 / 61.  1.100
libavfilter    10.  1.100 / 10.  1.100
libswscale      8.  1.100 /  8.  1.100
libswresample   5.  1.100 /  5.  1.100
libpostproc    58.  1.100 / 58.  1.100


  


• Marketing Analytics in Banking : How to Be Effective and Compliant

  17 septembre 2024, par Daniel Crough — Banking and Financial Services, Marketing, Privacy, banks, finserv, fintech, marketing analytics

  Marketing analytics is reshaping decision-making in the financial sector, with recent studies showing it influences over half of all marketing strategies. However, marketers surveyed by MarketingWeek identify data and analytics as the biggest skill gap in their department.

  Read More