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How to use libvmaf_cuda on Windows: an easy-to-follow guide (WSL2 + Docker + NVIDIA)
TL;DR: Running GPU-accelerated VMAF on Windows is surprisingly painful. After spending hours fighting broken builds and undocumented errors, the only reliable path I found is WSL2 + Docker Desktop + NVIDIA Container Toolkit + a CUDA-enabled FFmpeg . This guide walks you through the whole setup using the easyVmaf project, so you can skip the trial-and-error I went through.
This guide uses easyVmaf , a project that ships a Dockerfile.cuda specifically built for this purpose. We'll run it...
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