These days, most of my work is very related to the online world. Building web sites, reviewing web applications, integrating with web services, coordinating people who are far away from each other, etc. Whenever I find a new tool or service or an innovative, interesting idea about working online, I share it in this category.
I came across this interesting Python tool that helps with real-time face detection and emotion and gender classification. Â Here is a more complete brief description from the project page:
Real-time face detection and emotion/gender classification using fer2013/IMDB datasets with a keras CNN model and openCV.
- IMDB gender classification test accuracy: 96%.
- fer2013 emotion classification test accuracy: 66%.
In the spirit of validating everything against a schema (validating JSON, validating CSV), here is another option – YANG:
YANGÂ is a data modeling language for the definition of data sent over the NETCONF network configuration protocol. The name is an acronym for “Yet Another Next Generation”. The YANG data modeling language was developed by the NETMODÂ working group in the Internet Engineering Task Force (IETF) and was published as RFC 6020 in October 2010. The data modeling language can be used to model both configuration data as well as state data of network elements. Furthermore, YANG can be used to define the format of event notifications emitted by network elements and it allows data modelers to define the signature of remote procedure calls that can be invoked on network elements via the NETCONF protocol. The language, being protocol independent, can then be converted into any encoding format, e.g. XML or JSON, that the network configuration protocol supports.
YANG is a modular language representing data structures in an XML tree format. The data modeling language comes with a number of built-in data types. Additional application specific data types can be derived from the built-in data types. More complex reusable data structures can be represented as groupings. YANG data models can use XPATH expressions to define constraints on the elements of a YANG data model.
Like many other standards, formats, and tools developed by very smart people, YANG can be used for much more than just networking configuration. Â If you data and states fit into its model, give it a try.
Here are a few resources that you might find useful in the process:
J Cole Morrison wrote an excellent guide into AWS IAM policies. It’s super useful for anyone who have tried implementing IAM policies and failed (or even barely succeeded).
What is an AWS IAM Policy?
A set of rules that, under the correct
conditions, define whatactionsthe policyprincipalor holder can take to specified AWSresources.That still sounds a bit stiff. How about:
Who can do what to which resources. When do we care?
There we go. Let’s break down the simple statement even more…
Compared to all the AWS documentation one has to dive through, this one is a giant time saver!
Supercharge your ecommerce is a collection of reviews of some of the best ecommerce plugins for WordPress. Â It covers a variety of options from the most famous like WooCommerce to some less known ones. Â Here’s a list of of what’s reviewed:
The Guardian is covering a 100+ internal training manuals, spreadsheets, and flowcharts that they’ve seen that Facebook has for training their editorial / censorship staff.
There’s plenty to learn from and think about. Â Once again, it’s shown how complex modern communications and discussions are, and how tricky it is to separate violent and abusive content from careless comments. Â Here’s a thought provoking example:
