Deoldify Vapoursynth filter

[Selur]

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,...

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" -------------------------------------------------------------------------------- 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 MB

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