![]() For a full list of GPUs and formats supported, please see the available GPU Support Matrix. Ability to add your own custom high-performance CUDA filters using the shared CUDA context implementation in FFmpeg. ![]() Create high-performance end-to-end hardware-accelerated video processing, 1:N encoding and 1:N transcoding pipeline using built-in filters in FFmpeg.Granular control over encoding settings such as encoding preset, rate control and other video quality parameters.Hardware-accelerated decoding of H.264, HEVC, VP9, VP8, MPEG2, MPEG4*, and AV1.Navigate to the Import/Export category at the top you will see a box with the. Next, start OpenToonz and open the Preferences window with File Preferences. Once the Terminal windows have launched successfully, Terminal can be closed. Hardware-accelerated encoding of H.264 and HEVC* In Finder, right-click on each executable (ffmpeg, ffprobe, and etc.) and select Open With Terminal.If you have an NVIDIA GPU which supports hardware-accelerated video encoding and decoding, it’s simply a matter of compiling FFmpeg binary with the required support for NVIDIA libraries and using the resulting binaries to speed up video encoding/decoding.įFmpeg supports following functionality accelerated by video hardware on NVIDIA GPUs:
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