FUnIE-GAN
Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020 (by xahidbuffon)
sunken-object
Compare quality of binary classification (detection) between natural underwater images and images with restoration (by Lameus)
FUnIE-GAN | sunken-object | |
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1 | 1 | |
432 | 1 | |
- | - | |
0.0 | 0.0 | |
28 days ago | almost 3 years ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 or later | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.
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.
FUnIE-GAN
Posts with mentions or reviews of FUnIE-GAN.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-15.
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Comparison of detection (with CNN) quality with color restoration of underwater images and without
My diploma's theme has a bit specific application area - sunken technical objects. I have to restorate underwater images. And to prove useability of restoration method for autonomous underwater vechile (AUV) I decided to compare quality of CNN model train with preprocessing and without it. Due to the lack of data I use mirroring by way of augmentation. And to preprocess hundreds of images of images I used this method https://github.com/xahidbuffon/FUnIE-GAN .
sunken-object
Posts with mentions or reviews of sunken-object.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-15.
What are some alternatives?
When comparing FUnIE-GAN and sunken-object you can also consider the following projects:
iSeeBetter - iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
prosr - Repository containing an independent implementation of the paper: "A Fully Progressive Approach to Single-Image Super-Resolution"
video-quality-metrics - Test specified presets/CRF values for the x264 or x265 encoder. Compares VMAF/SSIM/PSNR numerically & via graphs.
Seamoth - A python library for the Mate ROV competition by the MHS
piqa - PyTorch Image Quality Assessement package