EGVSR model leaving a grid pattern?
See original GitHub issueSorry to bring up another apparent issue…
Had to scale it down to attach, but there’s a grid-like pattern and overall the result looks quite odd.
I read over on doom9 that you said:
Please note though, that EGVSR does not auto-detect settings from the model file yet. So you should manually override any settings that needs it when you load the model for correct results.
and so I assume this result is due to not doing that and simply using:
from vsgan import EGVSR
clip = EGVSR(clip, device="cuda").\
load(r"C:\VapourSynth\vsgan_models\EGVSR\EGVSR_iter420000.pth").\
apply().\
clip
isn’t going to work. But I have no idea how to override it to get the correct results?
Issue Analytics
- State:
- Created 2 years ago
- Comments:5 (4 by maintainers)
Top Results From Across the Web
VSGAN - VapourSynth GAN Implementation, based on ...
As of 1.6.0, ESRGAN (and its derivatives), and EGVSR is supported. ... model - it looks like some fine grid pattern overlaid ...
Read more >Super-resolution for 2K/8K television using wavelet-based image ...
Similar to image super-resolution, VSR aims at faithful recovery of important image structures (e.g., edges and textures) and has been widely used in...
Read more >Real-Time Super-Resolution System of 4K-Video Based on ...
This paper explores the possibility of real-time VSR system and designs an efficient and generic VSR network, termed EGVSR.
Read more >UKPowerNews-July2013 | PDF | District Heating | Cogeneration
In a bid to help maintain grid stability, by matching power generation to energy ... With changing patterns of usage, the current ......
Read more >人工智能学术速递[7.13] - 腾讯云开发者社区-腾讯云
... their ability to model distributions of data and generate high-fidelity results. ... and a range of sources leaving them prone to two...
Read more >Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start FreeTop Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Top GitHub Comments
Going to close this now as all questions seem to be addressed.
v1.6.4 fixes a big memory leak. This will definitely help reduce your VRAM. It reduced mine from about 9.6 GiB to 2.6 GiB with interval=3. I can now go as far as interval=30 and reach 10.8 GiB/11 GiB.