License-super-resolution
GFPGAN-for-Video-SR
| License-super-resolution | GFPGAN-for-Video-SR | |
|---|---|---|
| 7 | 1 | |
| 357 | 31 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 4 years ago | 10 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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License-super-resolution
- Unfall mit Fahrerflucht, AI-Upscaling?
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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
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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!
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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
GFPGAN-for-Video-SR
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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
What are some alternatives?
super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
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, ... 🧠
pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
Real-ESRGAN-Video-Batch-Process - Upscale any number of videos using this colab notebook!
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
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.