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OpenCV might be a bit more popular than devenv. We know about 60 links to it since March 2021 and only 46 links to devenv. 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.
If writing a devshell on your own seems more complicated than necessary, you can use tools like Devenv or Devbox (by the same team that built NixHub), which are both built on Nix. Devenv provides nice wrappers to automatically add languages, services (like postgres or redis), etc. On top of your flake, without having to do the shenanigans we had to do with Valkey. Devbox on the other hand, lets you skip writing... - Source: dev.to / 5 months ago
I'd be interested in anybody who has tried https://devenv.sh/ and https://www.jetify.com/devbox and chosen one over the other. Tried devbox which has been good, but not devenv. - Source: Hacker News / 6 months ago
Did you try https://devenv.sh/? It uses Nix under the hood but with an improved DX experience. I haven't used it myself personally since I find Nix good enough but I am curious if you would still choose mise over devenv. - Source: Hacker News / 6 months ago
Https://devenv.sh/ and Dev Containers are not the same thing. - Source: Hacker News / 8 months ago
Devenv.sh merits exploration too. It is something of a hybrid, with a JSON-like programming language, YAML configuration, and Docker-like composition of services. - Source: dev.to / 10 months 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 1 month 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 / 8 months ago
Flox - Manage and share development environments with all the frameworks and libraries you need, then publish artifacts anywhere. Harness the power of Nix.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Podman - Simple debugging tool for pods and images
NumPy - NumPy is the fundamental package for scientific computing with Python
DevBox - Everyday utilities for the everyday developer
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.