mirror of
https://github.com/master-of-zen/Av1an.git
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165 lines
8.4 KiB
Markdown
165 lines
8.4 KiB
Markdown
<h1 align="center">
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<br>
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Av1an
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</br>
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</h1>
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<h2 align="center">A cross-platform all-in-one tool for streamlining AV1 encoding</h2>
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![alt text](https://cdn.discordapp.com/attachments/665440744567472169/685103807952060447/143740_05_03_20.png)
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<h4 align="center">
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<a href="https://discord.gg/TssVH86"><img src="https://discordapp.com/api/guilds/696849974230515794/embed.png" alt="Discord server" /></a>
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<img src="https://ci.appveyor.com/api/projects/status/cvweipdgphbjkkar?svg=true" alt="Project Badge"> <a href="https://codeclimate.com/github/master-of-zen/Av1an/maintainability"><img src="https://api.codeclimate.com/v1/badges/41ea7ad221dcdad3fe8d/maintainability" />
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<img= src="https://app.codacy.com/manual/Grenight/Av1an?utm_source=github.com&utm_medium=referral&utm_content=master-of-zen/Av1an&utm_campaign=Badge_Grade_Dashboard"></a>
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<a href="https://www.codacy.com/manual/Grenight/Av1an?utm_source=github.com&utm_medium=referral&utm_content=master-of-zen/Av1an&utm_campaign=Badge_Grade"><img src="https://api.codacy.com/project/badge/Grade/4632dbb2f6f34ad199142c01a3eb2aaf"/></a>
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</h4>
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<h2 align="center">Easy, Fast, Efficient and Feature Rich</h2>
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An easy way to start using AV1 / VP9 / VP8 encoding. AOM, rav1e, SVT-AV1, VPX are supported.
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Example with default parameters:
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av1an -i input
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With your own parameters:
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av1an -i input -enc aom -v " --cpu-used=3 --end-usage=q --cq-level=30 --threads=8 " -w 10 -p 2
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-ff " -vf scale=-1:720 " -a " -c:a libopus -b:a 24k " -s scenes.csv -log my_log -o output
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<h2 align="center">Usage</h2>
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-i --file_path Input file(s) (relative or absolute path). Will be processed with same
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settings.
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-o --output_file Name/Path for output file (Default: (input file name)_av1.mkv)
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Output file ending is always `.mkv`
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-enc --encoder Encoder to use (aom,rav1e,svt_av1,vpx. Default: aom)
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Example: -enc rav1e
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-v --video_params Encoder settings flags (If not set, will be used default parameters.
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Required for SVT-AV1s)
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Must be inside ' ' or " "
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-p --passes Set number of passes for encoding
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(Default: AOMENC: 2, rav1e: 1, SVT-AV1: 2, VPX: 2)
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At current moment 2nd pass rav1e not working
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-a --audio_params FFmpeg audio settings flags (Default: copy audio from source to output)
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Example: -a '-c:a libopus -b:a 64k'
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-w --workers Overrides automatically set number of workers.
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Example: rav1e settings " ... --tile-rows 2 --tile-cols 2 ... " -w 3
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--split_method Method used for generating splits.(Default: PySceneDetect)
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Options: `pyscene`, `aom_keyframes`
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`pyscene` - PyScenedetect, content based scenedetection
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with threshold.
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`aom_keyframes` - using stat file of 1 pass of aomenc encode
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to get exact place where encoder will place new keyframes.
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-tr --threshold PySceneDetect threshold for scene detection Default: 50
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-s --scenes Path to file with scenes timestamps.
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If given `0` spliting will be ignored
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If file not exist, new will be generated in current folder
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First run to generate stamps, all next reuse it.
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Example: "-s scenes.csv"
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-xs --extra_split Adding extra splits if frame distance beetween splits bigger than
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given value. Split only on keyframes. Works with/without PySceneDetect
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Example: 1000 frames video with single scene,
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-xs 200 will try to add splits at keyframes
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that closest to 200,400,600,800.
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-cfg Save/Read config file with encoder, encoder parameters,
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FFmpeg and audio settings.
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-ff --ffmpeg FFmpeg options. Applied to each segment individually.
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Example:
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--ff " -r 24 -vf scale=320:240 "
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-fmt --pix_format Setting custom pixel/bit format(Default: 'yuv420p')
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Example for 10 bit: 'yuv420p10le'
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Encoding options should be adjusted accordingly.
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--resume If encode was stopped/quit resumes encode with saving all progress
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Resuming automatically skips scenedetection, audio encoding/copy,
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spliting, so resuming only possible after actuall encoding is started.
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/.temp folder must be presented for resume.
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--no_check Skip checking numbers of frames for source and encoded chunks.
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Needed if framerate changes to avoid console spam.
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By default any differences in frames of encoded files will be reported.
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--keep Not deleting temprally folders after encode finished.
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-log --logging Path to .log file(Default: no logging)
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--temp Set path for temporally folders. Default: .temp
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--boost Enable experimental CQ boosting for dark scenes. Refer to 1.7 release notes.
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-bl CQ limit for boosting. CQ can't get lower than this value.
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-br CQ range for boosting. Delta for which CQ can be changed
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--vmaf Calculate vmaf for each encoded clip.
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Saves plot after encode, showing vmaf values for all frames,
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mean, 1,25,75 percentile.
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Requires: Installed FFMPEG and installed libvmaf.
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--vmaf_path Custom path to libvmaf models, by default used system one.
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--vmaf_target Vmaf value to target. Currently aomenc only. Best works with 85-97.
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When using this mode specify full encoding options.
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` --end-usage=q ` or ` --end-usage=cq `
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with ` --cq-level=N ` must be specified.
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--vmaf_steps Number of evenly spaced probes that is used to interpolate vmaf to cq change.
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Must be bigger than 3. Optimal is 4-6 probes. Default: 4
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--min_cq, --max_cq Minimum and maximum CQ values used in interpolation in target Vmaf mode
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Use to limit CQ values range. Default: 25, 50.
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<h2 align="center">Main Features</h2>
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**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.
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* [PySceneDetect](https://pyscenedetect.readthedocs.io/en/latest/) used for spliting video by scenes and running multiple encoders.
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* Fastest way to encode AV1 without losing quality, as fast as many cores cpu have :).
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* Target VMAF mode. Targeting end result visual quality.
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* Resuming encoding without loss of encoded progress.
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* Simple and clean console look.
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* Automatic determination of how many workers the host can handle.
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* Building encoding queue with bigger files first, minimizing waiting for last scene to encode.
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* Both video and audio transcoding with FFmpeg.
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* Logging of progress of all encoders.
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* "Boosting" quality of dark scenes based on their brightness.
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## Install
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* Prerequisites:
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* [Install Python3](https://www.python.org/downloads/) <br>
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For Windows in the installer check the option to `add Python to PATH`
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* [Install FFmpeg](https://ffmpeg.org/download.html)
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* [Install AOMENC](https://aomedia.googlesource.com/aom/)
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* [Install rav1e](https://github.com/xiph/rav1e)
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* [Install SVT-AV1](https://github.com/OpenVisualCloud/SVT-AV1)
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* [Install vpx](https://chromium.googlesource.com/webm/libvpx/) VP9, VP8 encoding
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* With a package manager:
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* [PyPI](https://pypi.org/project/Av1an/)
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* [AUR](https://aur.archlinux.org/packages/python-av1an/)
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* Manually:
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* Clone Repo or Download from Releases
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* `python setup.py install`
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* Also:
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On ubuntu systems packages `python3-opencv` and `libsm6` are required
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### I have no money
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Bitcoin - 1gU9aQ2qqoQPuvop2jqC68JKZh5cyCivG
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