You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
I publish a brand new Computer Vision, Deep Learning, and OpenCV tutorial every Monday at 10AM EST. Here you'll find my most recent tutorials and guides.
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…
Read More of Real-time facial landmark detection with OpenCV, Python, and dlib
Today’s blog post is part three in our current series on facial landmark detection and their applications to computer vision and image processing. Two weeks ago I demonstrated how to install the dlib library which we are using for facial…
Read More of Detect eyes, nose, lips, and jaw with dlib, OpenCV, and Python
Last updated on July 3, 2021. Last week we learned how to install and configure dlib on our system with Python bindings. Today we are going to use dlib and OpenCV to detect facial landmarks in an image. Facial landmarks…
Read More of Facial landmarks with dlib, OpenCV, and Python
Two weeks ago I interviewed Davis King, the creator and chief maintainer of the dlib library. Today I am going to demonstrate how to install dlib with Python bindings on both macOS and Ubuntu. I highly encourage you to take…
Read More of How to install dlib
A few months ago, I wrote a tutorial on how to classify images using Convolutional Neural Networks (specifically, VGG16) pre-trained on the ImageNet dataset with Python and the Keras deep learning library. The pre-trained networks inside of Keras are capable…
Read More of ImageNet: VGGNet, ResNet, Inception, and Xception with Keras
In today’s blog post, I interview Davis King, the creator and chief maintainer of dlib — a toolkit for real-world machine learning, computer vision, and data analysis in C++ (with Python bindings included, when appropriate). I’ve personally used dlib in…
Read More of An interview with Davis King, creator of the dlib toolkit
Over the past three years running PyImageSearch.com I have received and answered tens of thousands of questions from readers just like yourself who are interested in studying computer vision, OpenCV, and deep learning. Looking back on this time, I can…
Read More of A guide to asking questions on the PyImageSearch blog
Today’s blog post is part one of a two-part series inspired by an email I received over the weekend from Aarav, a PyImageSearch reader who is interested in studying computer vision: SUBJECT: How do I ask good computer vision questions?…
Read More of How to get better answers to your computer vision questions
Today’s tutorial is a Python implementation of my favorite blog post by Félix Abecassis on the process of text skew correction (i.e., “deskewing text”) using OpenCV and image processing functions. Given an image containing a rotated block of text at…
Read More of Text skew correction with OpenCV and Python
