In this tutorial you’ll discover the difference between Keras and tf.keras , including what’s new in TensorFlow 2.0. Today’s tutorial is inspired from an email I received last Tuesday from PyImageSearch reader, Jeremiah. Jeremiah asks: Hi Adrian, I saw that TensorFlow 2.0 was released a few days ago. TensorFlow developers seem to be promoting Keras, or […]
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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 […]
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 […]
In today’s blog post, I interview PyImageSearch Gurus member, Tuomo Hiippala, who was recently awarded a 28000€ grant (approximately $30,500 USD) to research how computer vision can be used to study visual culture, including social media images and photo archives. We’ll discuss his very unique area of research, which blends linguistics with computer vision, and how his work is […]
A couple weeks ago I provided step-by-step install instructions to setup OpenCV 3.0 and Python 2.7+ on your Ubuntu machine. However, one of the huge benefits of migrating to OpenCV 3.0 is the new Python 3.4+ support. In the previous 2.4.X releases of OpenCV, only Python 2.7+ was supported. But now, we can finally leverage Python 3.4+ […]