Based on our record, OpenCV should be more popular than Fossil. It has been mentiond 50 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.
Feedback to author: The diagram and explanation took a beat longer than normal to scan, since this buries a bit that it's not about the beautiful source control system called fossil shipped as a composition of modules: https://fossil-scm.org/home/doc/trunk/www/index.wiki Great diagrams, so of course that's the first thing a reader will skim. People biuld things based on git all the time, the diagram looks like... - Source: Hacker News / 4 months ago
There are (all too rare) tools that back those objects with git as well. And there's always fossil ... https://fossil-scm.org/home/doc/trunk/www/index.wiki But it's not git. :-(. - Source: Hacker News / 6 months ago
I don't think git should be the infrastructure of collaboration. It's good for long-lived artifacts, but isn't good for discussion, for rights management, ... Fossil (https://fossil-scm.org/home/doc/trunk/www/index.wiki) is of course better, but if git must remain, I believe the base infrastructure should be the mailing list. Patches, branches and releases can live inside a mailing list, it is naturally built for... - Source: Hacker News / 8 months ago
Have you spent much time using Fossil? https://fossil-scm.org/home/doc/trunk/www/index.wiki. - Source: Hacker News / 9 months ago
> To make things more complicated, they also use their a relatively niche version management system instead of git. Which would complicate making contributions (if they accepted them). The Fossil VCS actually has a page explaining why it was created, instead of just using Git: https://sqlite.org/whynotgit.html Honestly, a lot of those points make sense, especially how Git is perhaps a little bit more complex and... - Source: Hacker News / 12 months ago
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: 12 months ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Mercurial SCM - Mercurial is a free, distributed source control management tool.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.
NumPy - NumPy is the fundamental package for scientific computing with Python