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wallabag
Scikit ImageWallabag is recommended for users who appreciate open-source software, self-hosting capabilities, and prioritizing privacy. It's ideal for individuals who want to organize and read web content without distractions, and have the technical skills to set up and manage the application on their own servers.
Based on our record, wallabag should be more popular than Scikit Image. It has been mentiond 19 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.
I am using koreader.rocks on my ereader and KOreader has a native support for https://wallabag.org/. They are both fantastic opensource projects, whenever I like to read something I am sending them to my wallabag and therefore I can easily have them on my ereader too. Also the fact that you can install different plugin on KOreader and customize it in a way you like is fantastic. - Source: Hacker News / 11 days ago
I moved to a self-hosted Wallabag (https://wallabag.org/) after Pocket shut down. Not the sexiest but does everything I need it to. - Source: Hacker News / 6 months ago
I'm looking into setting up Wallabag for myself, maybe it could work for you too? https://wallabag.org/. - Source: Hacker News / about 1 year ago
I use KOReader [1] on my Kobo. It supports Wallabag [2]. Wallabag offers both hosted [3] and self-hosted options. There's also a standalone kobo client for Wallabag [4]. In addition, Wallabag also supports direct import from Pocket. [1] https://koreader.rocks/ [2] https://wallabag.org/ [3] https://www.wallabag.it/en [4] https://gitlab.com/anarcat/wallabako. - Source: Hacker News / about 1 year ago
Instapaper[1] and Wallabag[2] would be the two main alternatives to Pocket, I think. Wallabag is self-hosting although I believe there are hosted services around as well. Cannot get either of them to integrate with my Kobo ereader like Pocket does, though. :-( [1] https://www.instapaper.com/ [2] https://wallabag.org/. - Source: Hacker News / over 1 year 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
Raindrop.io - All your articles, photos, video & content from web & apps in one place.
OpenCV - OpenCV is the world's biggest computer vision library
Instapaper - Instapaper is a simple tool to save web pages for reading later.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Email This - Save ad-free articles and web pages and articles to your email inbox for reading later.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.