ivymike3257

4 ms·

1. 1.▲
   Fast FaceApp – A fast deep learning model to age faces(github.com)

   1 points by ivymike3257 6y ago|0 comments
2. 2.▲
   A fast deep learning model to age human faces, runs at 30fps on an iPhone(github.com)

   3 points by ivymike3257 7y ago|0 comments
3. 3.▲
   A fast data loader for training deep learning models in Tensorflow 2.0(github.com)

   4 points by ivymike3257 7y ago|0 comments
4. 4.▲
   Segmentation Data Pipeline for Tensorflow 2.0. Supports Image Augmentations Too(github.com)

   1 points by ivymike3257 7y ago|0 comments
5. 5.▲
   by ivymike3257 7y ago

   That's the goal of this repository but the code base doesn't support video atm. You could theoretically use OpenCV to extract video frames and upsample them one by one through this model in real time (384 -> 1024 upsampling run
6. 6.▲
   by ivymike3257 7y ago

   Hey thanks for the question. Regarding your first question: that was exactly what I wondered, and I found out that they don't necessarily overfit to the type of degradation (the repo shows a section called "extreme super resolutio
7. 7.▲
   Fast-SRGAN: Deep learning model to convert low res pictures to high res(github.com)

   52 points by ivymike3257 7y ago|6 comments
8. 8.▲
   Real Time Super Resolution GAN for Up-Sampling Videos(github.com)

   12 points by ivymike3257 7y ago|1 comments