Based on our record, Mastodon seems to be a lot more popular than Scikit Image. While we know about 619 links to Mastodon, 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.
I am a big time overpacker, at least until I go on a trip and hurt my ankle and then scale back. This loadout in my camera backpack is on the overpacked side https://mastodon.social/@UP8/111091984601991594 since I can't make up my mind if I want a manual focus 50mm that opens to 0.95 or if I want to do sports, birds, and a little bit of macro work with a 100-400mm zoom, or shoot stereograms, or play with a... - Source: Hacker News / 1 day ago
I find all those photos generated by Stable Diffusion to be kind of repetitious and boring. Eking out something "interesting" is difficult, especially with limited time and low-end hardware. Interesting is highly subjective of course. I tend towards the more artistic / surrealist style, usually NSFW. Only nudes, no pornography. I've been experimenting these last few months with interesting generating... - Source: Hacker News / 7 days ago
I cannot tell if you are joking or not. But it is obvious she is litigating in public until she gets the payoff she wants: https://mastodon.social/@ashleygjovik Of course a big corp cannot give in easily to behaviour like that as it would just open the flood gates. - Source: Hacker News / 9 days ago
Close to nine-hundred comments¹ when Lennart posted about run0 on mastodon² a couple of months ago. ¹ https://news.ycombinator.com/item?id=40205714. - Source: Hacker News / 10 days ago
>I'm not optimistic about non tech people easily logging into mastodon.192.168.555.2.xproxy.remoteinstance2452456a1.mirror.com. Why are you trolling? Mastodon instances have normal URLs like https://mastodon.social, and you can just log in there like any other site. And there's a ton of "non-tech" people on Mastodon.. In fact the people who seem whine the most about how hard it is are the "techies" on HN. It's weird. - Source: Hacker News / 14 days 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: almost 2 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 2 years ago
X (Twitter) - Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.
OpenCV - OpenCV is the world's biggest computer vision library
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Gab - Gab is an ad-free social network dedicated to free speech.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.