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Face ApplicationsLearn how to use Computer Vision, Deep Learning, and OpenCV for face applications, including face recognition, facial landmarks, liveness detection, and more using my face application guides.
In this tutorial, you will learn how to use OpenCV to perform face recognition. To build our face recognition system, we’ll first perform face detection, extract face embeddings from each face using deep learning, train a face recognition model on…
Read More of OpenCV Face Recognition
You may have noticed that over the past couple of weeks we have been using a special Python package called face_recognition quite a bit on the PyImageSearch blog: We first used it to build a face recognition system We then…
Read More of An interview with Adam Geitgey, creator of the face_recognition Python library
Today’s blog post is inspired by a question from PyImageSearch reader, Leonard Bogdonoff. After I published my previous post on Face recognition with OpenCV and deep learning, Leonard wrote in and asked: Hey Adrian, can you go into identity clustering?…
Read More of Face clustering with Python
In last week’s blog post you learned how to perform Face recognition with Python, OpenCV, and deep learning. But as I hinted at in the post, in order to perform face recognition on the Raspberry Pi you first need to…
Read More of Raspberry Pi Face Recognition
In today’s blog post you are going to learn how to perform face recognition in both images and video streams using: OpenCV Python Deep learning As we’ll see, the deep learning-based facial embeddings we’ll be using here today are both…
Read More of Face recognition with OpenCV, Python, and deep learning
In the next couple of blog posts we are going to train a computer vision + deep learning model to perform facial recognition… …but before we can train our model to recognize faces in images and video streams we first…
Read More of How to build a custom face recognition dataset
Back in September 2017, Davis King released v19.7 of dlib — and inside the release notes you’ll find a short, inconspicuous bullet point on dlib’s new 5-point facial landmark detector: Added a 5 point face landmarking model that is over…
Read More of (Faster) Facial landmark detector with dlib
Today I’m going to share a little known secret with you regarding the OpenCV library: You can perform fast, accurate face detection with OpenCV using a pre-trained deep learning face detector model shipped with the library. You may already know…
Read More of Face detection with OpenCV and deep learning
Today’s blog post is the long-awaited tutorial on real-time drowsiness detection on the Raspberry Pi! Back in May I wrote a (laptop-based) drowsiness detector that can be used to detect if the driver of a motor vehicle was getting tired…
Read More of Raspberry Pi: Facial landmarks + drowsiness detection with OpenCV and dlib
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