License-super-resolution
super-resolution
| License-super-resolution | super-resolution | |
|---|---|---|
| 7 | 2 | |
| 357 | 1,452 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 4 years ago | almost 2 years ago | |
| Jupyter Notebook | Python | |
| MIT License | Apache License 2.0 |
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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
super-resolution
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Is it not possible to get good results in Deep Learning if dataset is small (1000 images)? [D]
https://github.com/krasserm/super-resolution (Super useful for me)
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How to train "models" for opensv edsr (iam super noob)
And thanks ! so it means that I need to train it with one of these trainers inside this project for example https://github.com/krasserm/super-resolution And that means that iam forced to use python (at least for training) but it's OK 🙃
What are some alternatives?
GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN
Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
MIRNet-TFJS - TensorFlow JS models for MIRNet for low-light💡 image enhancement
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!
SRGAN - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Hands-On-Meta-Learning-With-Python - Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
SinGAN - Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
medicalAI - Medical-AI is a AI framework specifically for Medical Applications https://aibharata.github.io/medicalAI/