Scikit Image might be a bit more popular than wxWidgets. We know about 7 links to it since March 2021 and only 6 links to wxWidgets. 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.
I decided to compile from scratch the latest wxWidgets from wxwidgets.org. And I compiled and installed successfully for both X11 and GTK. Source: 10 months ago
Some say qt, others wxwidgets, u++, sfml, here is a video from quick search on wxwidgets and c++ for beginners https://www.youtube.com/watch?v=FOIbK4bJKS8 Choosethem depending on learning curve and where they will take you, you might learn something harder because it takes you farther to where you want to go. Source: over 1 year ago
> Java Swing still lets you make native-looking-and-feeling apps (with some care). I don't know of any new GUI frameworks that let you do the same. That's the whole raison d'être of the (C++) wxWidgets toolkit. [0] It fully commits to using native GUI widgets, rather than impersonating them. (That is, it wraps various other toolkits.) As others have pointed out, the other major cross-platform toolkits (Qt, GTK)... - Source: Hacker News / over 2 years ago
That all being said: We are now all waiting on wxwidgets to release their next stable version so that we can upgrade. It makes no sense to use an unstable version of that upstream, as in its development releases it literally breaks on every patch level release. It also makes no sense to start packaging a custom version of wxgtk just for audacity (the overhead required is just not worth it). Source: over 2 years ago
Looking good is very subjective of course… did you take a look at wxWidgets? https://wxwidgets.org/. - Source: Hacker News / over 2 years ago
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / 2 months 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 / 7 months ago
This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 1 year ago
Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: almost 2 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 2 years ago
Qt - Powerful, flexible and easy to use, Qt will help you not only meet your tight deadline, but also reduce the maintainable code by an astonishing percentage.
OpenCV - OpenCV is the world's biggest computer vision library
GTK - GTK+ is a multi-platform toolkit for creating graphical user interfaces.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
PyQt - Riverbank | Software | PyQt | What is PyQt?
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.