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:
ml install azface ml configure azface ml readme azface ml commands azface ml demo azface
ml detect azface myfamily.jpg ml similar azface me.jpg myteam.jpg
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.
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