11/30/2022 0 Comments Avidemux bitrate too low![]()
#AVIDEMUX BITRATE TOO LOW 720P#The T4 encodes 22 720p streams, simultaneously in High Quality mode. Number of streams encoded simultaneously at 30 FPS in Low Latency mode. Number of streams encoded simultaneously at 30 FPS in High Quality mode Figure 14. Let’s look at performance and power consumption results averaged across multiple test sequences, as presented by figures 13 and 14. The ideal solution for transcoding needs to be cost effective (dollars/stream) and power efficient (watts/stream). #AVIDEMUX BITRATE TOO LOW SOFTWARE#Turing GPUs come equipped with powerful NVENC video encoding units which delivers higher video compression efficiency compared to sophisticated software encoders like libx264, due to the combination of higher performance and lower energy consumption. First frame of ducks_take_off sequence encoded by T4 Nvenc. First frame of ducks_take_off sequence encoded by libx264. PSNR RD curve for Ducks take off sequence in 2160p resolution.ĭifference in visual quality can be easily seen by eye as it’s illustrated on figures 11 and 12: Figure 11. #AVIDEMUX BITRATE TOO LOW 1080P#PSNR RD curve for Cactus sequence in 1080p resolution and low latency mode Figure 10. ![]() Notice how the Tesla T4 is more effective at high resolutions, offering one dB better visual quality at the same bitrate. The Tesla T4 NVENC easily outperforms libx264 in low-latency mode as highlighted in figures 9 and 10. PSNR RD curve for Cactus sequence in 1080p resolution. PSNR RD curve for Red Kayak sequence in 1080p resolution. NVENC shows a clear advantage over libx264 in these scenes which contain complex inter-predicition, as shown on figures 7 and 8. The Red Kayak and Cactus sequences include significant chaotic and circular motion, respectively. (Click for larger image) High-Motion Sequences Frame of bq_terrace sequence encoded by T4 Nvenc. Frame of bq_terrace sequence encoded by libx264. Tesla T4 shows better prediction and filtering in comparison to libx264, as illustrated on figures 5 and 6. PSNR RD curve for Park Scene sequence in 1080p resolution. PSNR RD curve for Park Scene sequence in 720p resolution. PSNR RD curve for BQ terrace sequence in 1080p resolution. PSNR RD curve for Kimono sequence in 720p resolution. Performance and Quality Results Balanced Sequencesįigures 1 through 4 show that the Tesla T4 delivers same or slightly better visual quality to libx264 in high quality mode for all-round balanced sequences like Kimono, BQ terrrace and Park Scene. We used a variety of input videos for RD-estimation, such as basketball_drive, bq_terrace, cactus, crowd_run, ducks_take_off, jokey, kimono, and many more at 1280×720, 1920×10×2160 resolutions. 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. ![]()
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