Inkscape
Adobe Illustrator
Sketch
Affinity Designer
Adobe Photoshop
GIMP
Krita
Canva
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
Inkscape
Scikit ImageGraphic designers, artists, and hobbyists who are looking for a cost-effective solution for creating and editing vector graphics, especially those familiar with or willing to learn about SVG and free graphic design tools.
Based on our record, Inkscape seems to be a lot more popular than Scikit Image. While we know about 492 links to Inkscape, we've tracked only 7 mentions of Scikit Image. 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.
Inkscape is a powerful vector graphic editor that enables artists to create scalable, high-quality imagesโideal for capturing the sleek, modern aesthetic associated with Muskโs brand. Whether you're drafting a minimalist portrait or designing complex geometric patterns, Inkscapeโs precision tools make it a go-to choice for NFT creators. Additionally, the softwareโs strong community of users provides a wealth of... - Source: dev.to / over 1 year ago
Tools such as GIMP and Inkscape offer robust features for graphic design. - Source: dev.to / over 1 year ago
I like the following jigsaw plug-in for Inkscape: https://inkscape.org/~Neon22/%E2%98%85lasercut-jigsaw. - Source: Hacker News / over 1 year ago
Inkscape is a rich and clean application for creating and modifying vector graphics, and good for creating icons. I was looking forward to applying my (very limited) art skills to create icons for the application. I fired up Inkscape and began throwing prompts at the LLM:. - Source: dev.to / over 1 year ago
For those who don't know the nice application, here is a brief introduction. It is a free software that allows us to work on design and illustration with intuitive and easy-to-understand operation, just like Adobe Illustrator. Please see the official site for deteials. - Source: dev.to / about 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 / over 2 years 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 / over 2 years 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 3 years 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 4 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 4 years ago
Adobe Illustrator - Adobe Illustrator is a vector graphics editor.
OpenCV - OpenCV is the world's biggest computer vision library
Sketch - Professional digital design for Mac.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Affinity Designer - Professional creative software, exclusively for Mac.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.