In the first part of this tutorial, we’ll briefly discuss what face blurring is and how we can use OpenCV to anonymize faces in images and video streams.įrom there, we’ll discuss the four-step method to blur faces with OpenCV and Python. Looking for the source code to this post? Jump Right To The Downloads Section Blur and anonymize faces with OpenCV and Python
#How to blur a face in photo mac how to#
To learn how to blur and anonymize faces with OpenCV and Python, just keep reading! Dataset curation and distribution (e.g., anonymize individuals in dataset).Photo journalism and news reporting (e.g., blur faces of people who did not sign a waiver form).
Protecting children online (i.e., blur faces of minors in uploaded photos).Privacy and identity protection in public/private areas.Practical applications of face blurring and anonymization include: īut what if we wanted to do the “opposite” of face recognition? What if we instead wanted to anonymize the face by blurring it, thereby making it impossible to identify the face? Li asks a great question - we often utilize face detection in our projects, typically as the first step in a face recognition pipeline. I’m in charge of creating the dataset but my professor has asked me to “anonymize” each image by detecting faces and then blurring them to ensure privacy is protected and that no face can be recognized (apparently this is a requirement at my institution before we publicly distribute the dataset).ĭo you have any tutorials on face anonymization? How can I blur faces using OpenCV? Hi Adrian, I’m working on a research project for my university.
Today’s blog post is inspired by an email I received last week from PyImageSearch reader, Li Wei: In this tutorial, you will learn how to blur and anonymize faces using OpenCV and Python.
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