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Based on our record, Matplotlib seems to be a lot more popular than Microsoft Computer Vision API. While we know about 99 links to Matplotlib, we've tracked only 6 mentions of Microsoft Computer Vision API. 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.
Https://azure.microsoft.com/en-us/products/cognitive-services/vision-services/ It's this However, the CODENAME is Chameleon Sorry for the confusion. Source: 12 months ago
This action searches through all markdown files in all folders. If an image does not have an alt text, the action uses the microsoft/git-base-coco model from HuggingFace to generate alt text. The end user can also create and use their Azure Computer Vision resource for alt text generation by providing their key and endpoint as repository secrets. When using the Azure Computer Vision Resource, they can also specify... - Source: dev.to / about 1 year ago
Azure Cognitive Services for Vision? https://azure.microsoft.com/en-us/products/cognitive-services/vision-services/. Source: about 1 year ago
Recently Microsoft announced the public preview of a new version of the Computer Vision Image Analysis API, making all visual image features ranging from Optical Character Recognition (OCR) to object detection, available through a single endpoint. This is the 4th version of the API, and more details are disclosed in the news item: https://www.infoq.com/news/2022/10/azure-computer-vision-api/. Source: over 1 year ago
Very interesting topic about integration of Microsoft Cognitive Services Computer Vision APIs with Angular app. While there was no talk about some specific Angular techniques, this speech showed how easy it could be to implement a text recognition feature by using easy-to-use services provided by Azure Cloud. I was impressed. Now I am familiar with following aspects:. - Source: dev.to / over 2 years ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
Matplotlib: for displaying our image result. - Source: dev.to / 2 months ago
Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 3 months ago
Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 6 months ago
For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 10 months ago
OpenCV - OpenCV is the world's biggest computer vision library
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.