Custom Auto-Boost_2.5

This project is a modified version of nekotrix project auto-boost-algorithm version 2.5.

Version 2.5: SSIMULACRA2&XPSNR-based

Requirements:

• Vapoursynth
• LSMASHSource
• Av1an
• vszip
• tqdm
• psutil
• mkvmerge

Optionally:

• turbo-metrics
• vship
• ffmpeg with XPSNR

Notable changes from original

• Added a progressbar to the turbo-metrics calculation
• Added a stage 4 for a final encode with Av1an
• Removed the ffmpeg dependency for XPSNR calculation
• Adjustable aggressiveness
• Better metrics implementations options
• Temporarly removed custom skip
• (Technically more accurate by a small margin)

Todo, functionality

• (WIP) Add a home-made encoding framework (alternative to Av1an), because why not
• Improve CLI
• (Maybe) Add a TUI
• (Some day) Add a GUI

Todo, code

• Make/Keep the code fully pep8 compliant
• Refactor the code to have a Model-View-Controller architecture

Usage

Parameter	Default	Possible values	Explanation
-i, --input			Video input file path
-t, --temp	Input filename		Temporary directory
-s, --stage	0	0, 1, 2, 3, 4	Boosting stage (All, fast pass, metrics calculation, zones generation, final encode)
-crf	30	1-63	CRF to use
-d, -deviation	10	0-63	Maximum crf deviation from base crf
--max-positive-dev		0-63	Maximum positive deviation from base crf
--max-negative-dev		0-63	Maximum negative deviation from base crf
-p, --preset	6	-1-13	SVT-AV1 preset to use
-w, --workers	CPU core count	1-Any	Number of Av1an workers
-m, --method	1	1, 2, 3, 4	Zones calculation method (1: SSIMU2, 2: XPSNR, 3: Multiplied, 4: Minimum)
-a, --aggressiveness	20 or 40	0 - Any	Choose boosting aggressiveness
-M, --metrics-implementations	vship,vszip	<vszip, vship, turbo-metrics>,<vszip, ffmpeg>	Choose each metric implementation. First is SSIMULACRA2, second is XPSNR
-v --video-params			Encoder parameters for Av1an
-ef, --encoder-framework	av1an	av1an	Encoding framework to use
-o, --output	Input file directory		Output file for final encode

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This project is based on the original work by nekotrix.
Original contributors include R1chterScale, Yiss, Kosaka, and others.
Licensed under MIT, see LICENSE.