HandBrake
HandBrake's development repository
t2v_metrics — проект с открытым исходным кодом из категории «Видео» от linzhiqiu (linzhiqiu/t2v_metrics на GitHub). У него 603 звезды на GitHub и 75 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 5 июня 2026.
Evaluate text-to-video models with VQAScore-based metrics.
Set up the evaluation code.
Gather generated images, videos, or 3D.
Score prompt alignment across your samples.
Benchmark against other models fairly.
Principled prompt-alignment scoring.
Image, video, and 3D evaluation.
Backed by an academic paper.
Fair numbers instead of cherry-picks.
Built for rigorous evaluation.
Open for the community.
Download the source and move into the project folder.
git clone https://github.com/linzhiqiu/t2v_metrics.git
cd t2v_metricsEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandApache 2.0 licensed — free for research and commercial use.
A published metric for visual-question-answering-based alignment scoring.
Scoring models need compute — check the README.
Yes — point it at any model's outputs.
Human eyeballing does not scale; metrics do.
HandBrake's development repository
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Другие проекты из категории «Видео» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если t2v_metrics вам не подходит.
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Соседние проекты из категории «Видео» в каталоге, ближайшие по числу звёзд к t2v_metrics — продолжайте изучать полку по обе стороны от него.
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Workflow guide — from GPT Image 2 stills to Seedance 2.5 motion.
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An AI video workbench your coding agent directs — storyboard to render over MCP.
A one-click local studio that directs, shoots, and edits AI video for you.
Source code for no-cost AI video upscaler utility.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.