vsFilterScript
enhancr
| vsFilterScript | enhancr | |
|---|---|---|
| 2 | 3 | |
| 10 | 511 | |
| - | - | |
| 0.0 | 7.6 | |
| over 2 years ago | 4 months ago | |
| Meson | JavaScript | |
| - | GNU General Public License v3.0 only |
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vsFilterScript
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regex to express distributive property?
thx for the suggestions, unfortunately I'm stuck with std::regex (C++) and it doesn't come with an overload that allows me to specify a custom callback for substitution, and that leaves me no choice but to manually manipulate low level regex iterators, but I got it working eventually, now I actually got another question, is it possible to do the reverse of what is described in this post using regex? so folding patterns like "a:e,b:e,c:e,d:e" into "[a,b,c,d]:e"
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Best way in modern C++ to dynamically, at runtime, invoke functions with their own arguments?
something like this: https://github.com/IFeelBloated/vsFilterScript/blob/master/include/Function.vxx#L12?
enhancr
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With Cupscale dead, are there any alternatives left for upscaling FMV?
However, the free version of enhancr is significantly faster: https://github.com/mafiosnik777/enhancr/releases/tag/0.9.9
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[S3E5 Spoilers] That scene from Episode 5 AI interpolated + upscaled to 4k48fps
I got my hands on a software called https://github.com/mafiosnik777/enhancr and its premium version by paying for a month of the dude's Patreon, the rest is mostly just trial and error doing random shit and reading their Discord.
What are some alternatives?
Final2x - 2^x Image Super-Resolution
vs-mlrt - Efficient CPU/GPU/Vulkan ML Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2/v3, Real-CUGAN, RIFE, SCUNet and more!)
realcugan-ncnn-vulkan - real-cugan converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
Waifu2x-Extension-GUI - Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
upscale - My VitePress website I made to visually compare the output I created with over 600 different AI upscaling models. Running under https://phhofm.github.io/upscale/