Scikit Image might be a bit more popular than Pinafore. We know about 7 links to it since March 2021 and only 7 links to Pinafore. 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.
For Windows, Whalebird is your go-to since it's in the MS Store. Most of the stuff I've found online as suggestions for Windows are web apps like https://pinafore.social/ or https://elk.zone. Personally, I just use the advanced web view. I need the columns. Source: over 1 year ago
Which instance are you on? Mastodon is decentralized, there may be servers that are overloaded whereas other are fast. Like email. I haven't noticed any big differences in speed, I use both Mastodon for iOS and Pinafore (https://pinafore.social/ ), a PWA. Just add it to your homescreen and it will behave like a native app (and sometime in 2023 Apple has said they will add push notifications to PWAs). - Source: Hacker News / over 1 year ago
I continue to see people stumble at mastodon resource requirements when setting up their instance, but I fail to understand why everyone is going for a mastodon instance for their personal use. I am running https://github.com/superseriousbusiness/gotosocial on a micro instance, probably using 100M ram, with a 30M sqlite database. True, I don't have all features. It is pure backend, but I can use... - Source: Hacker News / over 1 year ago
I use https://pinafore.social on windows fine. Source: over 1 year ago
There are web frontends available where you can sign into your instance, just like you so with a mobile app. For example https://pinafore.social/. - 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 / 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: over 1 year ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 2 years ago
Whalebird - Whalebird is a Mastodon client for desktop application.
OpenCV - OpenCV is the world's biggest computer vision library
Twidere - Tired of seeing ads and promotions in your timeline, being disrupted by tweets from bots and people...
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Hyperspace Mastodon client - Hyperspace offers a clean, fast and responsive client for the Mastodon social network
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.