fps_highlights VS SRGAN

Compare fps_highlights vs SRGAN and see what are their differences.

fps_highlights

Make beautiful highlights from FPS vidéos (by MohamedKiouaz)

SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (by tensorlayer)
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fps_highlights SRGAN
1 1
1 3,214
- 1.1%
5.8 2.7
7 months ago 3 months ago
Python Python
- -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

fps_highlights

Posts with mentions or reviews of fps_highlights. We have used some of these posts to build our list of alternatives and similar projects.

SRGAN

Posts with mentions or reviews of SRGAN. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing fps_highlights and SRGAN you can also consider the following projects:

fastaudio - 🔊 Audio and fastai v2

a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

NCRFpp - NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps