You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
Last updated on July 4, 2021. 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…
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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…
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The latest release of dlib is special. It completely removes the boost.python dependency, making it significantly easier to install across the board on macOS, Ubuntu, and Raspbian. Thanks to the work of Davis King (the creator and maintainer of the…
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Today’s blog post is the long-awaited tutorial on real-time drowsiness detection on the Raspberry Pi! From there, if you want to check that everything is installed properly in your virtual environment you may run the Python interpreter directly: Note: I’ve…
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Continuing our series of blog posts on facial landmarks, today we are going to discuss face alignment, the process of: Identifying the geometric structure of faces in digital images. Attempting to obtain a canonical alignment of the face based on…
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My Uncle John is a long haul tractor trailer truck driver. For each new assignment, he picks his load up from a local company early in the morning and then sets off on a lengthy, enduring cross-country trek across the…
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A few weeks ago I did a blog post on how to install the dlib library on Ubuntu and macOS. Since Raspbian, the operating system that (most) Raspberry Pi users run is Debian-based (as is Ubuntu), the same install instructions…
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In last week’s blog post, I demonstrated how to perform facial landmark detection in real-time in video streams. Today, we are going to build upon this knowledge and develop a computer vision application that is capable of detecting and counting…
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Over the past few weeks we have been discussing facial landmarks and the role they play in computer vision and image processing. We’ve started off by learning how to detect facial landmarks in an image. We then discovered how to…
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