Pidgin
Telegram
Trillian
Skype
Adium
Signal
Jitsi
WhatsApp
OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
OpenCVBased on our record, OpenCV should be more popular than Pidgin. It has been mentiond 52 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.
I can't think of any way. There is a Facebook plugin for Pidgin, and you can get at your chats that way with a more versatile cross-platform messenger, if you are more normally on other chat services. https://pidgin.im/ https://github.com/dequis/purple-facebook/wiki If you want web-based clients, try a multi-app client such as Ferdium, RamBox or Station. - Source: Hacker News / 2 months ago
As I mentioned earlier, this scenario happens to me all the time. This is precisely why I refuse to discuss why we don't use Git or GitHub for Pidgin. - Source: dev.to / 4 months ago
I did a find before posting my comment and found yours. >Cool I like Wordpress. But they bought a fancy Pidgin clone for 50mil...? https://pidgin.im/. - Source: Hacker News / 8 months ago
XMPP XMPP stands for Extensible Messaging and Presence Protocol and is used for communications for message-oriented middleware based on the Extensible Markup Language (XML). Many more people are starting to use this as a main way of communication using programs such as Pidgin to accomplish this. Pidgin is an open-source multi-platform IM client which most people will recommend for XMPP. The main reason is... Source: over 1 year ago
Pidgin is still a powerful messenger client for desktop once you get all the plugins needed for your particular use. Source: over 1 year ago
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 20 days ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 1 month 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 / 7 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: 7 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
Telegram - Telegram is a messaging app with a focus on speed and security. It’s superfast, simple and free.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Trillian - Trillian is a decentralized and federated instant messaging platform that lets your whole company send private and group messages, keep tabs on what co-workers are doing, share files, and much more.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Skype - Stay in touch with your family and friends for free on Skype. Download Skype today to chat and call on desktop and mobile.
NumPy - NumPy is the fundamental package for scientific computing with Python