SRGAN
super-resolution
SRGAN | super-resolution | |
---|---|---|
1 | 2 | |
3,205 | 1,452 | |
0.8% | - | |
2.7 | 0.0 | |
2 months ago | almost 2 years ago | |
Python | Python | |
- | Apache License 2.0 |
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.
SRGAN
super-resolution
-
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)
-
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?
a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers
MIRNet-TFJS - TensorFlow JS models for MIRNet for low-light💡 image enhancement
TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!
fps_highlights - Make beautiful highlights from FPS vidéos
Hands-On-Meta-Learning-With-Python - Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
License-super-resolution - A License Plate Image Reconstruction Project in Tensorflow2
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/