StatCounter
Google Analytics
Matomo
Mixpanel
Woopra
Adobe Analytics
Clicky
Open Web Analytics
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
StatCounter
Scikit ImageBased on our record, StatCounter should be more popular than Scikit Image. It has been mentiond 16 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.
StatCounter โ Website Viewer Analytics. Free plan for analytics of 500 most recent visitors. - Source: dev.to / over 2 years ago
Could someone explain what I'm looking at? I think this is from `https://statcounter.com/` (?), but that site doesn't load for me at the moment, and there's no readme or description on that (1 star) repo, or its associated account. That partial data is very likely to regress to the mean over the rest of the month- though it's good to see high linux usage (on whatever metric this is tracking). - Source: Hacker News / over 2 years ago
If what you want to see is "visitors" to different pages and not specific IP addresses and you are wary of jumping into Google Analytics, I was just recommended the free version of Statcounter. Source: about 3 years ago
Running PiHole and Unbound on a raspberry pie and https://statcounter.com refuses to load even after adding the domain to the white list. Source: over 3 years ago
StatCounter Http://statcounter.com/ Analytics Free, quick, and lightweight analytics solution. Often used by those who want to avoid using Google Analytics for privacy reasons. Source: over 3 years 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
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
OpenCV - OpenCV is the world's biggest computer vision library
Matomo - Matomo is an open-source web analytics platform
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.