GFPGAN-for-Video-SR
License-super-resolution
| GFPGAN-for-Video-SR | License-super-resolution | |
|---|---|---|
| 1 | 7 | |
| 32 | 357 | |
| - | - | |
| 0.0 | 0.0 | |
| 11 months ago | almost 4 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
GFPGAN-for-Video-SR
-
I Upscaled Linus's first video (Better results than Topaz Labs)
If you want to upscale your own videos , check out my colab notebook to do it for free : https://github.com/GeeveGeorge/GFPGAN-for-Video-SR
License-super-resolution
- Unfall mit Fahrerflucht, AI-Upscaling?
-
Anyone else in favor of a rule against “help me find this song/movie/book/whatever?”
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
-
Need help with License super resolution code
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 :)
- Anyway to enhance a video/picture to figure out a license plate?
- (Spoilers TWOW) *Enhance* Help Us Decipher One page, Just ONE PAGE from THE WINDS OF WINTER!
-
Help enhancing video to see license plate?
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
- Need help IDing plates from hit and run
What are some alternatives?
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Real-ESRGAN-Video-Batch-Process - Upscale any number of videos using this colab notebook!
pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.