retina
There are 3 repositories under retina topic.
- BetterDisplay
waydabber / BetterDisplay
Unlock your displays on your Mac! Flexible HiDPI scaling, XDR/HDR extra brightness, virtual screens, DDC control, extra dimming, PIP/streaming, EDID override and lots more!
strues / retinajs
JavaScript, SCSS, Sass, Less, and Stylus helpers for rendering high-resolution image variants
Language:CSS 4428hoosin / mobile-web-favorites
This is a favorites, with a mobile web tips.
- Language:CSS 220
- Language:Objective-C 200
getsanjeev / retina-features
Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.
Language:Python 127guyuchao / Vessel-wgan-pytorch
An implementation of《Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks》
Language:Python 84JackMordaunt / icns
Easily create .icns files (Mac Icons) with this Go library or the included CLI.
Language:Go 71jantman / puppet-archlinux-macbookretina
UNSUPPORTED - Puppet module and accompanying documentation to install/setup Arch linux on a MacBook Pro Retina 11,4
Language:Ruby 65justcoded / just-responsive-images
WordPress Plugin to support better responsive images with <picture> tag, backgrounds, retina support etc.
Language:PHP 49DeviaVir / pixelratio-screenshots
Grab a screenshot of a website, defining your own pixelratio. Uses phantomjs.
Language:JavaScript 41MatthewCallis / retinize
Retinize will upscale (using nearest neighbor) images to look correctly on retina screens. This is particularly useful for pixel art when you don't want to store an upscaled version.
Language:JavaScript 37sitegeist / sms-responsive-images
This TYPO3 extension provides ViewHelpers and configuration to render valid responsive images based on TYPO3's image cropping tool.
Language:PHP 35- media-blender
infinum / media-blender
Easy and predictable SASS/SCSS media queries
Language:CSS 26 urlbox / urlbox-node
Capture website thumbnails using the urlbox screenshot as a service API in node
Language:TypeScript 24- Language:MATLAB 22
bnomei / kirby-imageoptim
Kirby CMS file method to optimize images using ImageOptim within your template code.
Language:PHP 20lgiancaUTH / HEI-MED
The Hamilton Eye Institute Macular Edema Dataset (HEI-MED) (formerly DMED) is a collection of 169 fundus images to train and test image processing algorithms for the detection of exudates and diabetic macular edema. The images have been collected as part of a telemedicine network for the diagnosis of diabetic retinopathy
Language:MATLAB 18Quinten / phaser3-retina
Demo on how to support different devicePixelRatio's in Phaser 3
Language:JavaScript 18baccuslab / inferring-hidden-structure-retinal-circuits
Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`
Language:Python 14- Language:R 14
- Language:C++ 13
alexlafroscia / postcss-retina-bg-img
Automatically add retina background images
Language:JavaScript 12ayl / heyexReader
Python package to read Heidelberg Spectralis files
Language:Python 11FalseNegativeLab / mlscorecheck
Testing the consistency of binary classification performance scores reported in papers
Language:Jupyter Notebook 11My implementation of 《Synthesizing Filamentary Structured Images with GANs》
Language:Python 11- Language:C++ 11
- 16pxlsLanguage:JavaScript 11
sarastokes / OCT-tools
Segmentation and analysis of choroid and retinal layers from OCT b-scans
Language:MATLAB 11uw-biomedical-ml / oir
OIR Segmentation
Language:Lua 11neurodial / OCT-Marker
a platform independent open source tool for open OCT images and create different labels on it
Language:C++ 9Shramkoweb / Portfolio
✨ My portfolio built with Next.js and more cool stuff
Language:TypeScript 9- Language:Jupyter Notebook 8
Hourglass network for topology extraction of retina images
Language:Python 6mryndzionek / opencv_bio_enhance
Using OpenCV's Bioinspired Module Retina to enhance low(er) quality photos from e.g. an old compact camera.
Language:Python 5sevdaimany / Tumor-Detection-Brain-MRI
This project serves as a prime example of computer vision's role in revolutionizing healthcare. By utilizing the Detectron2 framework this project enables accurate detection of tumors in brain MRI images. The resultant web application, developed using Streamlit, provides a user-friendly interface for visualizing these detections.
Language:Python 5
