13 Azure Facial Recognition
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Facial recognition can be fun but it can also be troubling, as discussed in the Data Science Survival Guide. The MLHub package azface utilises the Azure Cognitive Services cloud to access closed source pre-built models. The package provides a demonstration, a graphical user interface, and command line tools that utilise the pre-built models.
Most of the commands provided by the package will accept a image or photo as a command line option. This might be a URL or a path to a local file. For our examples in this chapter the URLs we use are short URLs generated using bitly.
To install, configure, and demonstrate the package:
In addition to the demo command the package
supports many computer vision operations including r ml_command(azface,detect), and similar:
The source code for this MLHub package is available from github: https://github.com/gjwgit/azface.
Azure-based models, unlike the MLHub models in general, use closed source services which have no guarantee of ongoing availability and do not come with the freedom to modify and share. This cloud based service also sends your image files to Azure for analysis.
Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0
