License-super-resolution VS cupscale

Nah, the tools we have today go way beyond tweaking sharpness and brightness. We are basically at CSI levels in reality. For example: https://towardsdatascience.com/license-plate-image-enhancement-5a170475bec1

I need your help with this code: https://github.com/zzxvictor/License-super-resolution Because I dont understand any coding, And I really need this code to help a friend! So if you understand what to do, Please comment me :)

Imo, there is a miniscule probability that taking one of the frames just before the one with the pillar hiding the plate and trying this could work: https://github.com/zzxvictor/License-super-resolution

If you want to do more, there's chaiNNer and CupScale. You need to download an AI model to use those. There are a lot of anime/cartoon models out, so pick one that you like from here. (Note: Upscaly doesn't support these custom models.)

I'm not 100% sure how it holds up against topaz, but I've used cupscale (a gui for ESRGAN) to upscale most of my stuff. Its free (https://github.com/n00mkrad/cupscale) and you can find a million different ESRGAN models which are focused on different kinds of images (https://upscale.wiki/wiki/Model_Database).

Now upscaling isn't hard to do by itself, but the setup can be difficult. As I said earlier, ERSGAN is the preferable way to do it. (https://github.com/n00mkrad/cupscale) Cupscale is my preferred tool for doing it this way. (https://www.topazlabs.com/gigapixel-ai) Gigapixel is another option that's easier for newcomers, but may not produce as good of results. They even have a free trial if you want to demo the tool.

I use cupscale for upscaling things. Allows chaining models and handles video.

For local there's cupscale and chainner