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Perceptual video quality assessment based on multi-method fusion.
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libvmaf/meson.build
c-cpp ecosystem,
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python/pyproject.toml
python ecosystem,
4 dependencies
python/requirements.txt
python ecosystem,
12 dependencies
python/setup.py
python ecosystem,
9 dependencies
libvmaf/doc/meson.build
c-cpp ecosystem,
0 dependencies
libvmaf/include/meson.build
c-cpp ecosystem,
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libvmaf/src/meson.build
c-cpp ecosystem,
1 dependency
libvmaf/test/meson.build
c-cpp ecosystem,
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Calculate quality metrics with FFmpeg (SSIM, PSNR, VMAF, VIF)
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
This repository contains a collection of FFmpeg* patches and samples to enable CNN model based video analytics capabilities (such as object detection, classification, recognition) in FFmpeg* framework.
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
OpenMMLab Foundational Library for Training Deep Learning Models
An introduction to volumetric video streaming using MPEG V-PCC, which includes tutorials, code samples, and links to relevant resources.