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Ffmpeg combine videos into quad view
Ffmpeg combine videos into quad view




ffmpeg combine videos into quad view

c:v libx264 -preset fast -b:v BITRATE -bufsize BITRATE/FRATE -profile:v high -g 999999 -x264opts no-sliced-threads:nal-hrd=cbr -tune zerolatency -threads 4 -vsync 0 c:v h264_nvenc -preset llhp -rc cbr_ld_hq -b:v BITRATE -bufsize BITRATE/FRATE -profile:v high -g 999999 -vsync 0 c:v libx264 -preset medium -b:v BITRATE -bufsize BITRATE*2 -profile:v high -tune psnr -vsync 0 -threads 4 c:v h264_nvenc -preset medium -b:v BITRATE -bufsize BITRATE*2 -profile:v high -bf 3 -b_ref_mode 2 -temporal-aq 1 -rc-lookahead 20 -vsync 0 These performance tests set the encode parameters to those shown in table 2: Encoding Parameters Preset Low Latency Fast mode which is useful in applications sensible to latency such as remote gaming or video conferencing.įor that, testing computer was prepared with the configuration shown in table 1: Testing Configuration Component.High Quality mode which represents most common encoding scenarios with VBR control and B frames enables.These tests show how the Tesla T4 performs versus the well-known open source encoder libx264 in two scenarios: It has become most important and widespread codec in the industry. H.264 emerged 15 years ago and has become an ubiquitous video coding standard. Let’s take a closer look at performance and quality of the new NVENC unit designed into Turing. The recently released Turing hardware delivered Tensor Cores and better machine learning performance, but the new GPU also incorporated new multimedia features such as an improved NVENC unit to deliver better compression and image quality in video codecs. All NVIDIA GPUs starting with Kepler support fully-accelerated hardware video encoding GPUs starting with Fermi support fully-accelerated hardware video decoding.






Ffmpeg combine videos into quad view