Stylus is a revolutionary new language, providing an efficient, dynamic, and expressive way to generate CSS. Supporting both an indented syntax and regular CSS style.
Based on our record, OpenCV should be more popular than Stylus. It has been mentiond 60 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Stylus: Provides a more efficient and elegant way to generate CSS. - Source: dev.to / 8 months ago
Sass, Less and Stylus, extends CSS by adding variables, nesting mixins, and other features. It's an excellent solution for organizing huge and complex stylesheets. - Source: dev.to / 12 months ago
I hate preprocessors. Be it SASS, SCSS, LESS, Stylus, or any other. Really, without any exceptions. Though, I think my hatred for preprocessors is not because of the technology itself, but because of how other people use them. Throughout my development career, I have often encountered tickets where a seemingly simple task, like changing the text size, which should take minutes, ended up taking me hours. This is... - Source: dev.to / about 1 year ago
Traditionally CSS lacked features such as variables, nesting, mixins, and functions. This was frustrating for Developers as it often led to CSS quickly becoming complex and cumbersome. In an attempt to make code easier and less repetitive CSS pre-processors were born. You would write CSS in the format the pre-processor understood and, at build time, you'd have some nice CSS. The most common pre-processors these... - Source: dev.to / over 1 year ago
The Stylus is built on Node.js. It differs from Sass and Less, which are more opinionated to the syntax; the stylus allows you to omit semicolons, colons, and braces if you want at any time. Another cool feature is that the stylus has a property lookup feature. You can do that easily if you set property X relative to property Y's value. The stylus can be more concise because of its flexibility, but it depends on... - Source: dev.to / over 2 years ago
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / about 1 month ago
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 2 months ago
Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 6 months ago
OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 7 months ago
This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 9 months ago
Sass - Syntatically Awesome Style Sheets
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Dark Reader - Reduce eye strain in your browser with this extension that provides a dark theme for browsing.
NumPy - NumPy is the fundamental package for scientific computing with Python
PostCSS - Increase code readability. Add vendor prefixes to CSS rules using values from Can I Use. Autoprefixer will use the data based on current browser popularity and property support to apply prefixes for you.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.