Since the last SVP update I can use TRT to watch 4k 24p movies at 2x!

My 3080Ti 12GB (undervolted 1750MHz/800mV) run CUDA at 95% but it's smooth, I have no lags smile

My config:
Engine = TensorRT
GPU threads = 2
AI model = 4.6
Performance Boost = yes

Player = Plex HTPC (mpv + video quality ultra)

Thank you Chainik.

Hello

In SVP the option "scene change threshold" set to 15% has resolved the slowdowns in fast scenes, I think it sould be set to this value by default.

I am happy with AI model 4.6, there is a noticable improvement since model 4.0. There are still some artifacts (like on vertical bars or subtitles) maybe it could be improved with futur models.

Thanks for your work!

Chainik wrote:

> I would very much encourage everyone to share their observations

buy a video card at last! big_smile

> Is there an improvement in quality and speed of interpolation?

no idea about quality, but 4.1-4.4 performance is the same as 4.0
4.5-4.6 are 10% _slower_

Do you plan to update SVP with the newer models?

Thanks!

przkreft wrote:
XKCorp wrote:

When watching some 1080p/24fps films I still have slowdowns in some fast/complex scenes, it is always present when watching again the same scene.

It should not be related to hardware performance (3080Ti with only about 40% usage) and when the slowndown occure the load on the GPU decrease.

I think the RIFE filter just stop making interpolation for a few seconds that's why it can be perceived as a slowdown.

I tried to change the GPU threads number, from 2 to 4 but I see no change.

Do you have the same problem?

Is SVP going to update to the last release?
https://github.com/nihui/rife-ncnn-vulkan/releases

I have same issue on cartoons on GTX1080 with deduplication turned on. You can update to last release with copying .bin and.params to models folder in SVP installation location.

Looking at the release notes the rife-v4 model has not been updated.
Maybe the nccn code compiled in SVP has to be updated with an update?

jusyeung wrote:

I also have the same problem when transcoding anime from 24fps to 72fps, there are slowdowns in fast or complex scenes.

There are also artifacts on vertical bars (eg. gates or fences) when the camera is moving horizontally. I wonder what causes that.

I also have the vertical bars artifacts which are quite anoying, but I think this is "normal" in an interpolation algorythm. sad

When watching some 1080p/24fps films I still have slowdowns in some fast/complex scenes, it is always present when watching again the same scene.

It should not be related to hardware performance (3080Ti with only about 40% usage) and when the slowndown occure the load on the GPU decrease.

I think the RIFE filter just stop making interpolation for a few seconds that's why it can be perceived as a slowdown.

I tried to change the GPU threads number, from 2 to 4 but I see no change.

Do you have the same problem?

Is SVP going to update to the last release?
https://github.com/nihui/rife-ncnn-vulkan/releases

Same error here, RIFE was working before the update (PMP/MPV).

17:02:16.653 [E]: Playback [658f65fa]: VS - Python exception: SmoothFps_RIFE: Function does not take argument(s) named multi

Hi,

1. I tested with the default RIFE filter ncnn/Vulkan.

2. I din't change the scale, should be 1.

3. AI model "generic" is selected, don't know the version.

4. FP16 (GPU@80%) and FP32 (GPU@95%) are able to interpolate in real time with SVP Index 1.

5. No freeze on pause and resume.

6/7. Didn't try rewind or fast forward.

I followed the instructions to install torch/CUDA but when selecting "TTA = enabled" as others reported this filter is not working in real-time.

Hello,

My computer is a laptop AMD 5800H with NVIDIA RTX 3070 Mobile (115W).

I have installed SVP Pro with the RIFE AI Engine plugin.

My tests results:

Video 512x384
SVP index 1.0
GPU load average 80%
VRAM usage 0.7GB
Good result, smooth and no artifacts smile

Video 720p
SVP index 0,42
GPU load average 100%
VRAM usage 1,3GB

Video 1080p
SVP index 0,20
GPU load average 100%
VRAM usage 2.3GB

Video 4k
SVP index 0,19
GPU load average 100%
VRAM usage 2.6GB

All tests were made with FP16 and MPV.