piqa
FUnIE-GAN
piqa | FUnIE-GAN | |
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4 | 1 | |
381 | 432 | |
- | - | |
5.7 | 0.0 | |
6 months ago | 29 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
piqa
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What's the best strategy to get contributors and stars on a repository?
One good solution is to find someone with a problem (e.g. on Stack Overflow, Stack Exchange, Reddit, or even GitHub issues) that your project solves. That is what I did for a Python library I implemented (piqa), and people seemed to like it.
- PIQA, my first open-source project, reached 100 stars on GitHub today !
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What are some of your gold standard Python open source repos you discovered here or elsewhere that have very high quality, commented and understandable code that use best practices?
I'm currently developing piqa a Python package for Image Quality Assessment and I really try to make the code concise, readable and understandable. Have a look 😉
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🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
I see there is no image quality library (IQA) library in your list. I've made one for PyTorch - piqa - recently. It is still an early project, but there are already a few very useful metrics.
FUnIE-GAN
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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 .
What are some alternatives?
image-similarity-measures - :chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.
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
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
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.
sunken-object - Compare quality of binary classification (detection) between natural underwater images and images with restoration
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
colorama - Simple cross-platform colored terminal text in Python
Seamoth - A python library for the Mate ROV competition by the MHS
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
cppdep - C/C++ Dependency Analyzer: a rewrite of John Lakos' dep_utils (adep/cdep/ldep) from "Large-Scale C++ Software Design"