You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
Deep LearningLearn how to successfully apply Deep Learning to Computer Vision projects using Keras, TensorFlow, OpenCV, and more with my free Deep Learning tutorials and guides.
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…
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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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This blog post is intended for readers who have purchased a copy of my new book, Deep Learning for Computer Vision with Python. Inside this tutorial you’ll learn how to: Download the books, code, datasets, and any extras associated with your…
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When it comes to working with deep learning + Python I highly recommend that you use a Linux environment. Deep learning tools can be more easily configured and installed on Linux, allowing you to develop and run neural networks quickly.…
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The Ubuntu VirtualBox virtual machine that comes with my book, Deep Learning for Computer Vision with Python, includes all the necessary deep learning and computer vision libraries you need (such as Keras, TensorFlow, scikit-learn, scikit-image, OpenCV, etc.) pre-installed. However, while…
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Today’s blog post was inspired by PyImageSearch reader, Emmanuel. Emmanuel emailed me after last week’s tutorial on object detection with deep learning + OpenCV and asked: Hi Adrian, I really enjoyed last week’s blog post on object detection with deep…
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Last updated on July 7, 2021. A couple weeks ago we learned how to classify images using deep learning and OpenCV 3.3’s deep neural network (dnn ) module. While this original blog post demonstrated how we can categorize an image…
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Two weeks ago OpenCV 3.3 was officially released, bringing with it a highly improved deep learning (dnn ) module. This module now supports a number of deep learning frameworks, including Caffe, TensorFlow, and Torch/PyTorch. Furthermore, this API for using pre-trained…
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