Cross-platform command-line AV1 / VP9 / HEVC / H264 encoding framework with per scene quality encoding
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Aom_Keyframes
Av1an Target VMAF to Target Quality + Refactoring 2020-11-09 14:32:16 +02:00
Chunks Target VMAF to Target Quality + Refactoring 2020-11-09 14:32:16 +02:00
Encoders Target VMAF to Target Quality + Refactoring 2020-11-09 14:32:16 +02:00
GUI Basic Av1an-GUI layout 2020-11-09 15:01:12 +02:00
Scenedetection
Startup
TargetQuality typo 2020-11-10 15:58:40 +02:00
VMAF
.codeclimate.yml
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av1an.py
LICENSE.md
README.md Update README.md 2020-11-10 15:32:46 +02:00
requirements.txt
setup.py


Av1an

A cross-platform framework to streamline encoding

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Easy, Fast, Efficient and Feature Rich

An easy way to start using VVC / AV1 / HEVC / H264 / VP9 / VP8 encoding. AOM, RAV1E, SVT-AV1, SVT-VP9, VPX, x265, x264, VTM(Experimental) 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 --threads=8" -w 10
--split_method aom_keyframes --target_quality 95 --vmaf_path "vmaf_v0.6.1.pkl" -min_q 20 -max_q 60
-ff "-vf scale=-1:1080" -a "-c:a libopus -ac 2 -b:a 192k" -s scenes.csv -log my_log -o output

Usage

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

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

-enc --encoder          Encoder to use
                        (`aom`,`rav1e`,`svt_av1`,`svt_vp9`,`vpx`,`x265`, `x264`,`vvc`)
                        Default: aom
                        Example: -enc rav1e

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

-p   --passes           Set number of passes for encoding
                        (Default: AOMENC: 2, rav1e: 1, SVT-AV1: 1, SVT-VP9: 1,
                        VPX: 2, x265: 1, x264: 1, VVC:1)

-w   --workers          Override number of workers.

-r   --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(By default created in temp folder)

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

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

--mkvmerge              Use mkvmerge for concatenating instead of ffmpeg.
                        Use in case when concatenation fails.

FFmpeg options

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

-ff  --ffmpeg           FFmpeg options video options. Applied to each encoding segment individually.
                        (Warning: Cropping doesn't work with Target VMAF mode without
                        specifying it in --vmaf_filter)
                        Example:
                        --ff " -vf scale=320:240 "

-fmt --pix_format       Setting custom pixel/bit format for piping
                        (Default: 'yuv420p')
                        Example for 10 bit source: 'yuv420p10le'
                        Based on encoder, options should be adjusted accordingly.

Segmenting

--split_method          Method used for generating splits.(Default: PySceneDetect)
                        Options: `pyscene`, `aom_keyframes`
                        `pyscene` - PyScenedetect, content based scenedetection
                        with threshold.
                        `aom_keyframes` - using stat file of 1 pass of aomenc encode
                        to get exact place where encoder will place new keyframes.
                        (Keep in mind that speed also depends on set aomenc parameters)

-cm  --chunk_method     Determine way in which chunks made for encoding.
                        ['hybrid'(default), 'select', 'vs_ffms2'(Recomended), 'vs_lsmash']

-tr  --threshold        PySceneDetect threshold for scene detection Default: 35

-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. Works with/without PySceneDetect
                        Example: 1000 frames video with single scene,
                        -xs 200 will add splits at 200,400,600,800.

Target Quality

--target_quality        Quality value to target.
                        VMAF used as substructure for algorithms.
                        Supported for all encoders(Exception:VVC).
                        Best works in range 85-97.
                        When using this mode specify full encoding options.
                        Encoding options must include quantizer based mode,
                        and some quantizer option provided. (This value got replaced)
                        `--crf`,`--cq-level`,`--quantizer` etc

--min_q, --max_q        Min,Max Q values limits for Target VMAF
                        If not set by user, encoder default will be used.

--vmaf                  Calculate vmaf after encode is done.
                        showing vmaf values for all frames,
                        mean, 1,25,75 percentile.

--vmaf_plots            Make plots for target_vmaf search decisions
                        (Exception: early skips)
                        Saved in temp folder

--vmaf_path             Custom path to libvmaf models.
                        example: --vmaf_path "vmaf_v0.6.1.pkl"
                        Recomended to place both files in encoding folder
                        (`vmaf_v0.6.1.pkl` and `vmaf_v0.6.1.pkl.model`)
                        (Required if vmaf calculation doesn't work by default)

--vmaf_res              Resolution scaling for vmaf calculation,
                        vmaf_v0.6.1.pkl is 1920x1080 (by default),
                        vmaf_4k_v0.6.1.pkl is 3840x2160 (don't forget about vmaf_path)

--probes                Number of probes for interpolation.
                        1 and 2 probes have special cases to try to work with few data points.
                        Optimal is 4-6 probes. Default: 4

--vmaf_filter           Filter used for vmaf calculation. Passed format is filter_complex.
                        So if crop filter used ` -ff " -vf crop=200:1000:0:0 "`
                        `--vmaf_filter` must be : ` --vmaf_filter "crop=200:1000:0:0"`

--probe_rate             Setting rate for vmaf probes (Every N frame used in probe, Default: 4)

--n_threads             Limit number of threads that used for vmaf calculation
                        Example: --n_threads 12
                        (Required if VMAF calculation gives error on high core counts)

Main Features

Spliting video by scenes for parallel encoding because AV1 encoders are 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 CPU cores you have :).
  • Target Quality mode. Targeting end result visual quality.
  • Resuming encoding without loss of encoded progress.
  • Simple and clean console look.
  • Automatic detection of the number of workers the host can handle.
  • Building encoding queue with bigger files first, minimizing waiting for the last scene to encode.
  • Both video and audio transcoding with FFmpeg.
  • Logging of progress of all encoders.

Install

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