Feedly
Inoreader
NewsBlur
Flipboard
Reeder
Tiny Tiny RSS
The Old Reader
FreshRSS
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
Feedly
Scikit ImageBased on our record, Feedly should be more popular than Scikit Image. It has been mentiond 28 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.
This runs every 30 minutes, automatically bookmarking articles matching your interests. It's similar to the AI filtering feature that Feedly offers in Pro+ ($12.99/month), achieved here with MCP + /loop. Feedly's Leo AI is a Pro+ feature, and translation requires Enterprise ($1,600/month+). - Source: dev.to / 5 months ago
RSS didn't die, though. Feedly picked up 8 million new users in the weeks after Reader shut down. Inoreader, Miniflux, FreshRSS, NewsBlur, and dozens of others filled the gap. Feedly alone now has over 15 million registered users. - Source: dev.to / 6 months ago
Feedly is the most popular RSS reader with over 14 million registered users. Its AI assistant "Leo" can prioritize, summarize, and deduplicate articles based on your interests. If your goal is staying on top of industry news from trusted sources, Feedly with Leo is powerful. - Source: dev.to / 6 months ago
Feedly Https://feedly.com/ One of the most popular RSS readers. Available on web, iOS, and Android. Easy to use and great for organizing feeds into folders. The free plan is more than enough for most developers. - Source: dev.to / 7 months ago
Implement automated tracking: Set up alerts for pricing changes, feature updates, and new content launches. While you can track competitors manually using Google Alerts and Feedly, tools like TrackSimple eliminate the 12 hours/week time drain by monitoring competitor websites, social media, and review sites automatically. - Source: dev.to / 9 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 / 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: over 4 years ago
Inoreader - Dive into your favorite content. The content reader for power users who want to save time.
OpenCV - OpenCV is the world's biggest computer vision library
NewsBlur - NewsBlur is a personal news reader that brings people together to talk about the world.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Flipboard - Your Personal Magazine. Find, follow and flip stories that change your world.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.