Based on our record, OpenCV seems to be a lot more popular than Sketch. While we know about 52 links to OpenCV, we've tracked only 3 mentions of Sketch. 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.
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 / 29 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
Start by building the PDF version, as that's easier. I use Sketch (sketch.com) for designing layout. Source: over 1 year ago
This TG-16 controller was originally drawn in Fireworks CS4 waaaaaay back in the day, but I re-drew it by hand using simple shapes and effects in Sketch and Figma. Source: almost 2 years ago
Every designer has to choose their preferred design tool where they can implement their prototypes.Try Figma, Sketchand Adobe XD. These are the main tools, try each and find your favorite, as for me I love Figma(Very good in collaboration). - Source: dev.to / over 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Figma - Team-based interface design, Figma lets you collaborate on designs in real time.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Inkscape - Inkscape is a free, open source professional vector graphics editor for Windows, Mac OS X and Linux.
NumPy - NumPy is the fundamental package for scientific computing with Python
Affinity Designer - Professional creative software, exclusively for Mac.