vmaf

by Netflix · Developer Tools

Perceptual video quality assessment based on multi-method fusion.

New0 ratings5,474 starsActive
Developer ToolsDeveloper ToolCPython
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About this project

VMAF - Video Multi-Method Assessment Fusion 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. News —…

Technologies

PythonC++CCudaMATLAB

Project health

Actively maintained
Last update3 weeks ago
Contributors103
Latest releasev3.2.0
Open issues & PRs115
LicenseOther
On GitHubsince 2016

GitHub

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Netflix
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