
Hugo
Jekyll
Ghost
WordPress
GatsbyJS
Hexo
Grav
GitHub Pages
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
Scikit ImageBased on our record, Hugo seems to be a lot more popular than Scikit Image. While we know about 403 links to Hugo, 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.
The site is a Hugo static build. HTML, CSS, a bit of vanilla JS. Push to main, a GitHub Action runs hugo --minify, and the result lands on GitHub Pages. No server to babysit. - Source: dev.to / about 1 month ago
From the developer of https://gohugo.io/. - Source: Hacker News / 3 months ago
Migrating a blog off WordPress or Ghost. If you are moving to a static site generator like Astro, Hugo, or Jekyll, every post needs to be a .md file. Export your WordPress XML, feed each block through the converter, drop the result into content/posts/. I moved 84 posts this way in an evening. - Source: dev.to / 3 months ago
PaperMod is a clean, fast Hugo theme. What it doesn't give you out of the box is a component library: no callouts, no numbered steps, no before/after comparisons. If you write tutorials or technical posts, you end up compensating with blockquotes and bold text where purpose-built components would serve the reader better. - Source: dev.to / 4 months ago
So, I created โ๏ธ Meddler, a command-line tool and website that will take the .ZIP of your export that Medium gives you and turn it into clean, portable Markdown formats for Jekyll, Hugo, Eleventy, or Astro.js. - Source: dev.to / 5 months 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 / about 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
Jekyll - Jekyll is a simple, blog aware, static site generator.
OpenCV - OpenCV is the world's biggest computer vision library
Ghost - Ghost is a fully open source, adaptable platform for building and running a modern online publication. We power blogs, magazines and journalists from Zappos to Sky News.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.