You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In this tutorial, you will learn to install TensorFlow 2.0 on your Ubuntu system either with or without a GPU. There are a number of important updates in TensorFlow 2.0, including eager execution, automatic differentiation, and better multi-GPU/distributed training support,…
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In this tutorial, you will learn how to configure your Google Coral TPU USB Accelerator on Raspberry Pi and Ubuntu. You’ll then learn how to perform classification and object detection using Google Coral’s USB Accelerator. A few weeks ago, Google…
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Inside this tutorial you will learn how to configure your Ubuntu 18.04 machine for deep learning with TensorFlow and Keras. Configuring a deep learning rig is half the battle when getting started with computer vision and deep learning. I take…
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In this tutorial, you will learn how to pip install OpenCV on Ubuntu, macOS, and the Raspberry Pi. In previous OpenCV install tutorials I have recommended compiling from source; however, in the past year it has become possible to install…
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In this tutorial you will learn how to install OpenCV 4 on your Ubuntu system. OpenCV 4 has been officially released as of 20 November 2018! So, why bother installing OpenCV 4? You may want to consider installing OpenCV 4…
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In this blog post you will learn how to install OpenCV on Ubuntu 18.04. In the past, I’ve authored a handful of installation guides for Ubuntu: Ubuntu 16.04: How to install OpenCV with Python 2.7 and Python 3.5+ Install OpenCV…
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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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Welcome back! This is the fourth post in the deep learning development environment configuration series which accompany my new book, Deep Learning for Computer Vision with Python. Today, we will configure Ubuntu + NVIDIA GPU + CUDA with everything you…
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When it comes to learning new technology such as deep learning, configuring your development environment tends to be half the battle. Different operating systems, hardware, dependencies, and the actual libraries themselves can lead to many headaches before you’re even able…
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