With the recent release of offline custom vision for iOS and CoreML https://blogs.msdn.microsoft.com/uk_faculty_connection/2017/09/14/microsoft-custom-vision-api-and-intelligent-edge-with-ios-11/ You can now build offline model to Android devices https://github.com/Azure-Samples/cognitive-services-android-customvision-sample The following sample application demonstrates how to take a model exported from the Custom Vision Service in the TensorFlow format and add it to an application for...
This a post based on my colleague Anze Vodovnik demo at this Cambridge Hack www.vodovnik.com/2018/01/20/a-look-at-computer-vision/The following is a short step by step tutorial on how to build a .NET core application and run this on Apple iPhone X with no connectivityTo get started, go to https://customvision.ai. You’ll be greeted by a page allowing you to create a new model (or a list of models if you have them already). For this demo were going to build an app which identifies drinks.
The extension simplifies the process and also enables you to save time by copying to multiple regions in parallel. This is now becoming a question I am getting a lot from UK Academics who now wish to move existing Azure resources to the UK Azure Data CenterOn macOS, you are able to install either with Homebrew or manually. If you previously installed the Azure CLI 1.0 with Homebrew, instead of installing the package you can get CLI 2.0 through the regular Homebrew upgrade process.
@gayleoninterweb@BBCLeeds An "emergency equipment purchase" while working at the 2010 World Cup in South Africa was a warm jumper. Went from 25c for final England group game to -3c for 2nd round v Germany
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".