Based on our record, OpenCV should be more popular than pngquant. 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.
Image-shrinker is a simple, easy to use open source tool for shrinking images. Under the hood it uses pngquant, mozjpg, SVGO, and gifsicle. You can also install these tools individually if you need to compress some images. I often use pngquantafter exporting PNGs for web projects from Figma or similar tools. I literally run it like this:. - Source: dev.to / 8 months ago
Searching more I found https://pngquant.org/ which I could add to my bulk workflow to make most png's approach the jpeg size. Source: 12 months ago
But this did prompt me to do some searching, and I see https://pngquant.org/ which seems to achieve jpeg like size reduction while maintaining the file as a png. One difference they note is that this method will typically preserve sharp edges better than jpeg (which is probably a strong plus for my type of use case). Source: 12 months ago
Pngquant is also great for shaving filesizes down, but unlike oxipng, it's explicitly lossy. It'll reduce colors and even dither, but it will try to keep an image visually similar. Https://pngquant.org/. Source: over 1 year ago
Oxipng, pngquant and svgcleaner — optimizing images. Source: over 1 year 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 / 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: 5 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 9 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: 9 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: 11 months ago
ImageOptim - Faster web pages and apps.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
TinyPNG - Make your website faster and save bandwidth. TinyPNG optimizes your PNG images by 50-80% while preserving full transparency!
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Caesium Image Compressor - Compress your pictures up to 90% without visible quality loss.
NumPy - NumPy is the fundamental package for scientific computing with Python