OpenCV might be a bit more popular than Kivy. We know about 52 links to it since March 2021 and only 46 links to Kivy. 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.
We will create this complete Python registration form using Kivy. We get started by installing Kivy, a powerful Python framework for building interactive applications. - Source: dev.to / 3 months ago
For reference, YouTube runs on Python[1,2,3]: > 1. Python and Django: YouTube’s backend is predominantly written in Python, offering a balance of performance and readability. > 2. Google Cloud Platform... > 3. Java and C++: YouTube also utilizes Java and C++ for specific backend services, as they provide better performance for certain tasks. --- A long time ago, I looked into these Python frameworks: -... - Source: Hacker News / 4 months ago
I suggest you use kivy which is suitable for the desktop but also has the advantage of being one of few options for creating Python based native(ish) mobile apps (for IoS and Android app stores). Source: 7 months ago
I think the best one right now for python is "beeware": https://beeware.org/ You also have Kivy which is prety good: https://kivy.org/. - Source: Hacker News / 7 months ago
I'm a big fan of https://kivy.org/ it looks modern and has a wide range of components. - Source: Hacker News / 10 months 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 / 5 days ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 30 days 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 / 6 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
Blender - Blender is the open source, cross platform suite of tools for 3D creation.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Unity - The multiplatform game creation tools for everyone.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Unreal Engine - Unreal Engine 4 is a suite of integrated tools for game developers to design and build games, simulations, and visualizations.
NumPy - NumPy is the fundamental package for scientific computing with Python