You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
Let me ask you three questions: What if you could could run state-of-the-art neural networks on a USB stick? What if you could see over 10x performance on this USB stick compared to your CPU? And what if this entire…
Read More of Getting started with the Intel Movidius Neural Compute Stick
Shipping deep learning models to production is a non-trivial task. If you don’t believe me, take a second and look at the “tech giants” such as Amazon, Google, Microsoft, etc. — nearly all of them provide some method to ship…
Read More of Deep learning in production with Keras, Redis, Flask, and Apache
In today’s blog post we are going to create a deep learning REST API that wraps a Keras model in an efficient, scalable manner. Our Keras + deep learning REST API will be capable of batch processing images, scaling to…
Read More of A scalable Keras + deep learning REST API
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…
Read More of Install dlib (the easy, complete guide)
The vast majority of blog posts here on PyImageSearch are very hands-on and follow a particular pattern: We explore a problem. We write some code to solve the problem. We look at the results, explaining what worked went well, what…
Read More of Why I started a computer vision and deep learning conference
Today I’m pleased to announce the finalized details to an event I’ve been working on behind the scenes for quite some time: PyImageConf 2018: The practical, hands-on computer vision conference Imagine taking the practical, hands-on teaching style of the PyImageSearch…
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Happy New Year! It’s now officially 2018…which also means that PyImageSearch is (almost) four years old! I published the very first blog post on Monday, January 12th 2014. Since then over 230 posts have been published, along with two books…
Read More of Taking screenshots with OpenCV and Python
When it comes to high-performance deep learning on multiple GPUs (and not to mention, multiple machines) I tend to use the mxnet library. Part of the Apache Incubator, mxnet is a flexible, efficient, and scalable library for deep learning (Amazon…
Read More of How to plot accuracy and loss with mxnet
Today’s blog post is the most fun I’ve EVER had writing a PyImageSearch tutorial. It has everything we have been discussing the past few weeks, including: Deep learning Raspberry Pis 3D Christmas trees References to HBO’s Silicon Valley “Not Hotdog”…
Read More of Keras and deep learning on the Raspberry Pi
