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.
Today’s blog post is part two in a three-part series on building a complete end-to-end image classification + deep learning application: Part 1: How to (quickly) build a deep learning image dataset Part 2: Keras and Convolutional Neural Networks (today’s…
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When I was a kid, I was a huge Pokemon nerd. I collected the trading cards, played the Game Boy games, and watched the TV show. If it involved Pokemon, I was probably interested in it. Pokemon made a lasting…
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Over the past few months, I’ve been using Microsoft’s Ubuntu deep learning and data science virtual machine (DSVM) for a few projects I’m working on here at PyImageSearch. At first, I was a bit hesitant (and perhaps even a bit…
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Last updated on July 4, 2021. Today I’m going to share a little known secret with you regarding the OpenCV library: You can perform fast, accurate face detection with OpenCV using a pre-trained deep learning face detector model shipped with…
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Today’s post is inspired by Danielle, a PyImageSearch reader who emailed me last week and asked: Hi Adrian, I’m enjoying your blog and I especially liked last week’s post about image classification with the Intel Movidius NCS. I’m still considering…
Read More of Real-time object detection on the Raspberry Pi with the Movidius NCS
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…
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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…
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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…
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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…
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