mirror of
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204 lines
10 KiB
Markdown
204 lines
10 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 framework to streamline encoding</h2>
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<h4 align="center">
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<a href="https://discord.gg/Ar8MvJh"><img src="https://discordapp.com/api/guilds/696849974230515794/embed.png" alt="Discord server" /></a>
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<img src="https://github.com/master-of-zen/Av1an/workflows/tests/badge.svg">
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<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 VVC / AV1 / HEVC / VP9 / VP8 encoding. AOM, RAV1E, SVT-AV1, SVT-VP9, VPX, x265, x264, VTM 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
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--split_method aom_keyframes --vmaf_target 95 --vmaf_path "vmaf_v0.6.1.pkl" -min_q 20 -max_q 60
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-ff " -vf scale=-1:1080 " -a " -c:a libopus -ac 2 -b:a 192k " -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)_(encoder).mkv)
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Output file ending is always `.mkv`
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-enc --encoder Encoder to use (`aom`,`rav1e`,`svt_av1`,`svt_vp9`,`vpx`,`x265`, `x264`,`vvc`)
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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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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: 1, SVT-VP9: 1,
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VPX: 2, x265: 1, x264: 1, VVC:1)
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-w --workers Override number of workers.
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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(By default created in temp folder)
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--temp Set path for temporally folders. Default: .temp
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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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--mkvmerge Use mkvmerge for concatenating instead of ffmpeg.
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Use in case when concatenation fails.
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<h3 align="center">FFmpeg options</h3>
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-a --audio_params FFmpeg audio settings (Default: copy audio from source to output)
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Example: -a '-c:a libopus -b:a 64k'
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-ff --ffmpeg FFmpeg options. Applied to each segment individually.
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(Warning: Cropping doesn't work with Target VMAF mode)
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Example:
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--ff " -vf scale=320:240 "
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-fmt --pix_format Setting custom pixel/bit format for piping
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(Default: 'yuv420p')
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Example for 10 bit source: 'yuv420p10le'
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Based on encoder, options should be adjusted accordingly.
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<h3 align="center">Segmenting</h3>
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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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(Keep in mind that speed also depends on set aomenc parameters)
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-cm --chunk_method Determine way in which chunks made for encoding.
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['hybrid'(default), 'select', 'vs_ffms2', 'vs_lsmash']
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-tr --threshold PySceneDetect threshold for scene detection Default: 35
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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. Works with/without PySceneDetect
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Example: 1000 frames video with single scene,
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-xs 200 will add splits at 200,400,600,800.
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<h3 align="center">Target VMAF</h3>
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--vmaf_target Vmaf value to target. Supported for all encoders(Exception:VVC).
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Best works in range 85-97.
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When using this mode specify full encoding options.
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Encoding options must include quantizer based mode,
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and some quantizer option provided. (This value got replaced)
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`--crf`,`--cq-level`,`--quantizer` etc
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--min_q, --max_q Min,Max Q values limits for Target VMAF
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If not set by user, encoder default will be used.
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--vmaf Calculate vmaf after encode is done.
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showing vmaf values for all frames,
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mean, 1,25,75 percentile.
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--vmaf_plots Make plots for target_vmaf search decisions
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(Exception: early skips)
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Saved in temp folder
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--vmaf_path Custom path to libvmaf models.
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example: --vmaf_path "vmaf_v0.6.1.pkl"
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Recomended to place both files in encoding folder
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(`vmaf_v0.6.1.pkl` and `vmaf_v0.6.1.pkl.model`)
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(Required if vmaf calculation doesn't work by default)
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--vmaf_res Resolution scaling for vmaf calculation,
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vmaf_v0.6.1.pkl is 1920x1080 (by default),
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vmaf_4k_v0.6.1.pkl is 3840x2160 (don't forget about vmaf_path)
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--vmaf_steps Number of probes for interpolation.
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1 and 2 probes have special cases to try to work with few data points.
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Optimal is 4-6 probes. Default: 4
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--vmaf_filter Filter used for vmaf calculation. Passed format is filter_complex.
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So if crop filter used ` -ff " -vf crop=200:1000:0:0 "`
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`--vmaf_filter` must be : ` --vmaf_filter "crop=200:1000:0:0"`
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--vmaf_rate Setting rate for vmaf probes (Every N frame used in probe, Default: 4)
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--n_threads Limit number of threads that used for vmaf calculation
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Example: --n_threads 12
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(Required if VMAF calculation gives error on high core counts)
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<h2 align="center">Main Features</h2>
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**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.
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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 CPU cores you 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 detection of the number of workers the host can handle.
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* Building encoding queue with bigger files first, minimizing waiting for the 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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When installing under Windows, select the option `add Python to PATH` in the installer
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* [Install FFmpeg](https://ffmpeg.org/download.html)
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* Encoder of choice:
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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 SVT-VP9](https://github.com/OpenVisualCloud/SVT-VP9)
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* [Install vpx](https://chromium.googlesource.com/webm/libvpx/) VP9, VP8 encoding
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* [Install VTM](https://vcgit.hhi.fraunhofer.de/jvet/VVCSoftware_VTM) VVC encoding test model
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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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### Support developer
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Bitcoin - 1gU9aQ2qqoQPuvop2jqC68JKZh5cyCivG
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