Elixir might be a bit more popular than OpenCV. We know about 74 links to it since March 2021 and only 50 links to OpenCV. 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.
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 5 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 9 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 9 months ago
You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 11 months ago
If you've been using asdf to manage and maintain multiple versions of Erlang and Elixir, then vfox is also a good choice for you. - Source: dev.to / 2 days ago
I’m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / about 1 month ago
But regardless of their reasons, they'll note that the service is easily meeting its SLOs. It was written in a highly performant, if idiosyncratic language, and uses patterns which give it a high level of resilience and the ability to recover from many situations automatically. The service is steady as a rock, and left to its own devices will more or less chug along indefinitely once deployed. - Source: dev.to / about 1 month ago
As you might have guessed, one of the main use cases for entr is to rerun tests whenever files change. I'm an Elixir engineer, and I use entr to run mix test continuously whenever I save an Elixir file. - Source: dev.to / 6 months ago
The diagram demonstrates the communication pathway between the browser and the Postgres database through the Electric service. Essentially, Electric Sync Service, an Elixir application, orchestrates active-active data replication between the user's local DB and Postgres. - Source: dev.to / 6 months ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Rust - A safe, concurrent, practical language
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Clojure - Clojure is a dynamic, general-purpose programming language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming.
NumPy - NumPy is the fundamental package for scientific computing with Python
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.