OpenCV
Scikit-learn
Pandas
NumPy
Dataiku
Exploratory
htm.java
WEKA
TinyJPG
TinyPNG
ImageOptim
Shrink Me
JPEGmini
iLoveIMG
Caesium Image Compressor
Optimage
OpenCV TinyJPGBased on our record, OpenCV should be more popular than TinyJPG. 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.
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
Improve your website speed and mobile responsiveness. Google loves websites that load fast. Make sure your pictures aren't heavy. Use apps like TinyJPG. Use the right amount of animation because too much of anything is bad. Source: 7 months ago
Extract the scanned image and resize to make it a bit smaller, then compress the images on tinyjpg.com, merge them all into one pdf file using smallpdf, finally compress the pdf file again on the same website. Source: about 1 year ago
I'd say that a proper OR recommended approach towards optimizing images for the web is to manually compress them with compression tools like TinyJPG or Squoosh before uploading them to your favorite image CDN. Why? you'd ask me. - Source: dev.to / about 1 year ago
Oh and for the file size: compressing is usually better than resizing. And your image is a PNG which is much bigger in size than a JPG and you barely notice the difference. You can use https://tinyjpg.com/ or any proper image editor for good compression or even in Wonderdraft, you can (for sharing on Reddit) better export it as a JPG and at 80% or so. Source: over 1 year ago
Compress image using commandline tool (convert / jpegoptim) or online tool - https://tinyjpg.com/. - Source: dev.to / over 1 year ago
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.
ImageOptim - Faster web pages and apps.
NumPy - NumPy is the fundamental package for scientific computing with Python
Shrink Me - Compress images with one drag / click
