Will do some testing tomorrow, question is vspipe or x265 faster with raw and is this always the case.
Also note that the main downside of raw video pipes is that any output to std:out will the stream,...
tooo sleepy,... this looks wrong, check whether the output are really correctly playable in your examples.
encoded 429 frames, 14.48 fps, 1135.94 kbps, 2.32 MB (429 is the correct frame count)
encoded 858 frames, 21.79 fps, 2979.71 kbps, 12.19 MB (same input but double the number of frames)
Cu Selur
Also note that the main downside of raw video pipes is that any output to std:out will the stream,...
F:\Hybrid\64bit>"F:\Hybrid\64bit\Vapoursynth\vspipe.exe" "J:\tmp\encodingTempSynthSkript_2024-03-01@20_35_55_0010_0.vpy" - -c y4m | "F:\Hybrid\64bit\NVEncC.exe" --y4m -i - --fps 25.000 --codec av1 --sar 1:1 --output-depth 10 --vbr 0 --vbr-quality 23.00 --aq --aq-strength 5 --aq-temporal --gop-len 0 --ref 7 --multiref-l0 3 --multiref-l1 3 --bframes 3 --bref-mode auto --mv-precision Q-pel --preset quality --colorrange limited --colormatrix bt470bg --cuda-schedule sync --output "J:\tmp\test_1_2024-03-01@20_35_55_0010_02.av1"
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J:\tmp\test_1_2024-03-01@20_35_55_0010_02.av1
--------------------------------------------------------------------------------
Warning: F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torchvision\models\_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet101_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet101_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
Warning: F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\utils\weight_norm.py:30: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
NVEncC (x64) 7.41 (r2681) by rigaya, Jan 22 2024 13:02:15 (VC 1929/Win)
OS Version Windows 11 x64 (22631) [UTF-8]
CPU AMD Ryzen 9 7950X 16-Core Processor [5.50GHz] (16C/32T)
GPU #0: NVIDIA GeForce RTX 4080 (9728 cores, 2505 MHz)[PCIe4x16][551.61]
NVENC / CUDA NVENC API 12.1, CUDA 12.4, schedule mode: sync
Input Buffers CUDA, 20 frames
Input Info y4m(yv12(10bit))->p010 [AVX2], 640x352, 25/1 fps
Vpp Filters copyHtoD
Output Info AV1 main 10bit @ Level auto
640x352p 1:1 25.000fps (25/1fps)
Encoder Preset quality
Rate Control VBR
Multipass none
Bitrate 0 kbps (Max: 0 kbps)
Target Quality 23.00
Initial QP I:20 P:23 B:25
QP range I:0-255 P:0-255 B:0-255
QP Offset cb:0 cr:0
VBV buf size auto
Split Enc Mode auto
Lookahead off
GOP length 250 frames
B frames 3 frames [ref mode: middle]
Ref frames 7 frames, MultiRef L0:auto L1:auto
AQ on (spatial, temporal, strength 5)
Part size max auto / min auto
Tile num columns auto / rows auto
TemporalLayers max 1
Refs forward auto, backward auto
VUI matrix:bt470bg,range:limited
Others mv:Q-pel
Output 429 frames in 29.80 seconds (14.40 fps)%
encoded 429 frames, 14.48 fps, 1135.94 kbps, 2.32 MB
encode time 0:00:29, CPU: 0.0%, GPU: 7.9%, GPUClock: 2805MHz, VEClock: 2175MHz
frame type IDR 2
frame type I 2, total size 0.03 MB
frame type P 108, total size 0.01 MB
frame type B 319, total size 2.28 MB
F:\Hybrid\64bit>"F:\Hybrid\64bit\Vapoursynth\vspipe.exe" "J:\tmp\encodingTempSynthSkript_2024-03-01@20_35_55_0010_0.vpy" - | "F:\Hybrid\64bit\NVEncC.exe" --raw --input-res 640x352 -i - --fps 25.000 --codec av1 --sar 1:1 --output-depth 10 --vbr 0 --vbr-quality 23.00 --aq --aq-strength 5 --aq-temporal --gop-len 0 --ref 7 --multiref-l0 3 --multiref-l1 3 --bframes 3 --bref-mode auto --mv-precision Q-pel --preset quality --colorrange limited --colormatrix bt470bg --cuda-schedule sync --output "J:\tmp\test_1_2024-03-01@20_35_55_0010_02.av1"
--------------------------------------------------------------------------------
J:\tmp\test_1_2024-03-01@20_35_55_0010_02.av1
--------------------------------------------------------------------------------
NVEncC (x64) 7.41 (r2681) by rigaya, Jan 22 2024 13:02:15 (VC 1929/Win)
OS Version Windows 11 x64 (22631) [UTF-8]
CPU AMD Ryzen 9 7950X 16-Core Processor [5.52GHz] (16C/32T)
GPU #0: NVIDIA GeForce RTX 4080 (9728 cores, 2505 MHz)[PCIe4x16][551.61]
NVENC / CUDA NVENC API 12.1, CUDA 12.4, schedule mode: sync
Input Buffers CUDA, 20 frames
Input Info raw(yv12)->nv12 [AVX2], 640x352, 25/1 fps
Vpp Filters copyHtoD
cspconv(nv12 -> p010)
Output Info AV1 main 10bit @ Level auto
640x352p 1:1 25.000fps (25/1fps)
Encoder Preset quality
Rate Control VBR
Multipass none
Bitrate 0 kbps (Max: 0 kbps)
Target Quality 23.00
Initial QP I:20 P:23 B:25
QP range I:0-255 P:0-255 B:0-255
QP Offset cb:0 cr:0
VBV buf size auto
Split Enc Mode auto
Lookahead off
GOP length 250 frames
B frames 3 frames [ref mode: middle]
Ref frames 7 frames, MultiRef L0:auto L1:auto
AQ on (spatial, temporal, strength 5)
Part size max auto / min auto
Tile num columns auto / rows auto
TemporalLayers max 1
Refs forward auto, backward auto
VUI matrix:bt470bg,range:limited
Others mv:Q-pel
Warning: F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torchvision\models\_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet101_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet101_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
Warning: F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\utils\weight_norm.py:30: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
Output 429 frames in 29.29 seconds (14.65 fps)0%
encoded 858 frames, 21.79 fps, 2979.71 kbps, 12.19 MB
encode time 0:00:39, CPU: 0.0%, GPU: 10.2%, GPUClock: 2796MHz, VEClock: 2171MHz
frame type IDR 4
frame type I 4, total size 0.19 MB
frame type P 216, total size 0.07 MB
frame type B 638, total size 11.93 MBtooo sleepy,... this looks wrong, check whether the output are really correctly playable in your examples.
encoded 429 frames, 14.48 fps, 1135.94 kbps, 2.32 MB (429 is the correct frame count)
encoded 858 frames, 21.79 fps, 2979.71 kbps, 12.19 MB (same input but double the number of frames)
Cu Selur
----
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.