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VMAF - Video Multi-Method Assessment Fusion

Build Status libvmaf Windows ffmpeg Docker

VMAF is an Emmy-winning perceptual video quality assessment algorithm developed by Netflix. This software package includes a stand-alone C library libvmaf and its wrapping Python library. The Python library also provides a set of tools that allows a user to train and test a custom VMAF model.

Read this tech blog post for an overview, this post for the tips of best practices, and this post for our latest efforts on speed optimization, new API design and the introduction of a codec evaluation-friendly NEG mode.

Also included in libvmaf are implementations of several other metrics: PSNR, PSNR-HVS, SSIM, MS-SSIM and CIEDE2000.

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News

Documentation

There is an overview of the documentation with links to specific pages, covering FAQs, available models and features, software usage guides, and a list of resources.

Usage

The software package offers a number of ways to interact with the VMAF implementation.

Contribution Guide

Refer to the contribution page. Also refer to this slide deck for an overview contribution guide.