Tag Archives | install

pip install opencv

In this tutorial you will 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 OpenCV via pip, Python’s very own package manager. While installing from source will give […]

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Install OpenCV 4 on macOS

This tutorial provides step-by-step instructions to install OpenCV 4 (with Python bindings) on your macOS machine. While OpenCV 4 has not been officially released yet, a release is expected in autumn 2018. In the meantime, you can compile and install OpenCV 4 from source on your macOS system using the pre-release on GitHub. Once OpenCV 4 […]

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How to install OpenCV 4 on Ubuntu

In this tutorial you will learn how to install OpenCV 4 on your Ubuntu system. OpenCV 4 has not been officially released yet; however, a release is expected in Autumn 2018. Update: OpenCV 4.0.0-alpha is released as of September 20th, 2018. So, why bother installing OpenCV 4? You may want to consider installing OpenCV 4 […]

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Install dlib (the easy, complete guide)

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 dlib library) and Mischan Toos-Haus (who is responsible for removing the boost.python dependency), we can […]

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macOS for deep learning with Python, TensorFlow, and Keras

In today’s tutorial, I’ll demonstrate how you can configure your macOS system for deep learning using Python, TensorFlow, and Keras. This tutorial is the final part of a series on configuring your development environment for deep learning. I created these tutorials to accompany my new book, Deep Learning for Computer Vision with Python; however, you […]

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Configuring Ubuntu for deep learning with Python

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 to get started studying deep learning. These issues are further compounded by the speed of […]

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