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 applied face recognition to the Raspberry Pi And most recently we clustered faces to find […]
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In today’s blog post, I interview arguably one of the most important researchers and practitioners in modern day deep learning, Francois Chollet. Francois is not only the creator of the Keras deep learning library, but he’s also a Google AI researcher. He will also be speaking at PyImageConf 2018 in August of this year. Inside this interview Francois discusses: […]
In last week’s blog post we learned how to install the Tesseract binary for Optical Character Recognition (OCR). We then applied the Tesseract program to test and evaluate the performance of the OCR engine on a very small set of example images. As our results demonstrated, Tesseract works best when there is a (very) clean […]
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 a number of projects (especially for object detection), so it’s quite the honor to be interviewing […]
Earlier this year I posted about the top 7 Python books of 2014 (thus far). Now, I’m taking it to the next level. I’m taking some of my favorites from this list. Others from my own personal library. And I’m bundling them together — and giving them away FOR FREE. If you’re interested in computer vision, […]
Need help getting started with Computer Vision, Deep Learning, and OpenCV? Check out my step-by-step guides! What do you need help with? How Do I Get Started? Deep Learning Face Applications Optical Character Recognition (OCR) Object Detection Object Tracking Instance Segmentation and Semantic Segmentation Embedded and IoT Computer Vision Computer Vision on the Raspberry Pi […]
Today’s blog post is part one in a two part series on installing and using the Tesseract library for Optical Character Recognition (OCR). OCR is the automatic process of converting typed, handwritten, or printed text to machine-encoded text that we can access and manipulate via a string variable. Part one of this series will focus […]