Av1an 1.10.0.post1

All-in-one encode toolkit

Av1an

A cross-platform all-in-one tool for streamlining AV1 encoding

Easy, Fast, Efficient and Feature Rich

An easy way to start using AV1 / VP9 / VP8 encoding. AOM, rav1e, SVT-AV1, VPX are supported.

Example with default parameters:

av1an -i input

With your own parameters:

av1an -i input -enc aom -v " --cpu-used=3 --end-usage=q --cq-level=30 " -ff " -vf scale=-1:720 "
-w 10 -p 2 -a " -c:a libopus -b:a 24k " -s scenes.csv -log my_log -o output_file

Usage

-i   --file_path        Input file(s) (relative or absolute path)

-o   --output_file      Name/Path for output file (Default: (input file name)_av1.mkv)
                        Output file ending is always `.mkv`

-enc --encoder          Encoder to use (aom,rav1e,svt_av1,vpx. Default: aom)
                        Example: -enc rav1e

-v   --video_params     Encoder settings flags (If not set, will be used default parameters.
                        Required for SVT-AV1s)
                        Must be inside ' ' or " "

-p   --passes           Set number of passes for encoding
                        (Default: AOMENC: 2, rav1e: 1, SVT-AV1: 2)
                        At current moment 2nd pass rav1e not working

-a   --audio_params     FFmpeg audio settings flags (Default: copy audio from source to output)
                        Example: -a '-c:a libopus -b:a  64k'

-w   --workers          Overrides automatically set number of workers.
                        Example: rav1e settings " ... --tile-rows 2 --tile-cols 2 ... " -w 3

-tr  --threshold        PySceneDetect threshold for scene detection Default: 50

-s   --scenes           Path to file with scenes timestamps.
                        If given `0` spliting will be ignored
                        If file not exist, new will be generated in current folder
                        First run to generate stamps, all next reuse it.
                        Example: "-s scenes.csv"

-xs  --extra_split      Adding extra splits if frame distance beetween splits bigger than
                        given value. Split only on keyframes. Works with/without PySceneDetect
                        Example: 1000 frames video with single scene, 
                        -xs 200 will try to add splits at keyframes 
                        that closest to 200,400,600,800.

-cfg                    Save/Read config file with encoder, encoder parameters,
                        FFmpeg and audio settings.

-ff  --ffmpeg           FFmpeg options. Applied to each segment individually
                        Example:
                        --ff " -r 24 -vf scale=320:240 "

-fmt --pix_format       Setting custom pixel/bit format(Default: 'yuv420p')
                        Example for 10 bit: 'yuv420p10le'
                        Encoding options should be adjusted accordingly.

--resume                If encode was stopped/quit resumes encode with saving all progress
                        Resuming automatically skips scenedetection, audio encoding/copy,
                        spliting, so resuming only possible after actuall encoding is started.
                        /.temp folder must be presented for resume.

--no_check              Skip checking numbers of frames for source and encoded chunks.
                        Needed if framerate changes to avoid console spam.
                        By default any differences in frames of encoded files will be reported.

--keep                  Not deleting temprally folders after encode finished.

-log --logging          Path to .log file(Default: no logging)

--temp                  Set path for temporally folders. Default: .temp

--boost                 Enable experimental CQ boosting for dark scenes. Refer to 1.7 release notes.

-bl                     CQ limit for boosting. CQ can't get lower than this value.

-br                     CQ range for boosting. Delta for which CQ can be changed

--vmaf                  Calculate vmaf for each encoded clip.
                        Saves plot after encode, showing vmaf values for all video segments.
                        Requires: Installed FFMPEG with libvmaf and installed libvmaf.

--vmaf_path             Custom path to libvmaf models, by default used system one.

--vmaf_target           Vmaf value to target. Best works with 85-97.

--vmaf_steps            Number of evenly spaced probes that is used to interpolate vmaf to cq change.
                        Must be bigger than 3. Optimal is 4-6 probes. Default: 4

--vmaf_error            Decrease initial Vmaf values for interpolation.Increasing number will result
                        in lower CQ and bigger final vmaf score, use to correct whole vmaf plot.
                        For start If target vmaf undershoot increase value by undershoot amount.

--min_cq, --max_cq      Minimum and maximum CQ values used in interpolation in target Vmaf mode
                        Use to limit CQ values range. Default: 25, 50.

Main Features

Spliting video by scenes for parallel encoding because AV1 encoders currently not good at multithreading, encoding is limited to single or couple of threads at the same time.

• PySceneDetect used for spliting video by scenes and running multiple encoders.
• Fastest way to encode AV1 without losing quality, as fast as many cores cpu have :).
• Resuming encoding without loss of encoded progress.
• Simple and clean console look.
• Automatic determination of how many workers the host can handle.
• Building encoding queue with bigger files first, minimizing waiting for last scene to encode.
• Both video and audio transcoding with FFmpeg.
• Logging of progress of all encoders.
• "Boosting" quality of dark scenes based on their brightness.

Install

• Prerequisites:

  • Install Python3
    For Windows in the installer check the option to add Python to PATH
  • Install FFmpeg
  • Install AOMENC
  • Install rav1e
  • Install SVT-AV1
  • Install vpx VP9, VP8 encoding

• With a package manager:

  • PyPI
  • AUR

• Manually:

  • Clone Repo or Download from Releases
  • python setup.py install

• Also: On ubuntu systems packages python3-opencv and libsm6 are required

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