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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 / 8 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 / 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
Want to work on Mage, a modern replacement for Airflow? Source: over 1 year ago
You could also check mage. https://github.com/mage-ai/mage-ai It is developed by former engineers of AirBnb too. Source: over 1 year ago
Disclaimer: I worked at Airbnb for 5+ years working on data tools like Airflow and I helped start Mage almost 2 years ago. Source: over 1 year ago
Here is an easy to use data pipeline tool (free) with a user friendly UI: https://github.com/mage-ai/mage-ai. Source: over 1 year ago
You can also check out the repo here: https://github.com/mage-ai/mage-ai. - Source: Hacker News / over 1 year ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Versatile Data Kit - An open-source framework that enables anybody to create their own data pipelines, with: - Data SDK for the automation of data extraction, transformation, and loading.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
NumPy - NumPy is the fundamental package for scientific computing with Python
Caravel - Visual, intuitive, and interactive data exploration platform