Based on our record, OpenCV should be more popular than Diaspora. 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.
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: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 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: 10 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
> whatever that Ruby-based alternative was, that Zuck famously invested in, but to which I have zero memory of the name right now I think you're referring to Diaspora. https://diasporafoundation.org/ https://en.wikipedia.org/wiki/Diaspora_(social_network). - Source: Hacker News / 12 months ago
Maybe if reddit manages to kill itself, one of the decentralized projects like diaspora will expand. Source: about 1 year ago
I remember making similar comments about Diaspora vs Facebook a decade ago, but people are... lazy. Yeah, let's go with lazy. Source: over 1 year ago
To be fair, its not Mastodon, its the #Fediverse. Mastodon is arguably the least rich platfrom on the 'verse. IMHO Friendica is where its at, and you can still communicate with all the twitter refugees on Mastodon, as well as meater content on services likeDiaspora*, not to mention full integration with Lemmy (which works fairly similar to Reddit) while Masto you can see lemmy posts and replies without having to... Source: over 1 year ago
Several upstarts have tried to capture what you're talking about. Diaspora was an early entry, the Fediverse is another that seems to be gaining momentum in a way Diaspora never did. Source: over 1 year ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Mastodon - Mastodon is a decentralized, open source social network. This is just one part of the network, run by the main developers of the project It is not focused on any particular niche interest - everyone is welcome!
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
NumPy - NumPy is the fundamental package for scientific computing with Python
X (Twitter) - Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.