You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In this blog post, you will learn how to perform remote development on a Raspberry Pi (or Amazon EC2 server). You will discover how to configure your host machine to connect to these systems and remotely perform Python development. Today’s…
Read More of Remote development on the Raspberry Pi (or Amazon EC2)
In this tutorial, you will learn how to build a Raspberry Pi security camera using OpenCV and computer vision. The Pi security camera will be IoT capable, making it possible for our Raspberry Pi to to send TXT/MMS message notifications,…
Read More of Building a Raspberry Pi security camera with OpenCV
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…
Read More of Pre-configured Amazon AWS deep learning AMI with Python
Alight, so you have the NVIDIA CUDA Toolkit and cuDNN library installed on your GPU-enabled system. What next? Let’s get OpenCV installed with CUDA support as well. While OpenCV itself doesn’t play a critical role in deep learning, it is…
Read More of Compiling OpenCV with CUDA support
If you’re serious about doing any type of deep learning, you should be utilizing your GPU rather than your CPU. And the more GPUs you have, the better off you are. If you already have an NVIDIA supported GPU, then…
Read More of How to install CUDA Toolkit and cuDNN for deep learning
Last week I wrote a post detailing my experience with CUDAMat, Deep Belief Networks, and Python using my MacBook Pro. The post is fairly long and full of screenshots to document my experience. But the gist of it is this:…
Read More of Deep Learning on Amazon EC2 GPU with Python and nolearn
