You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
I publish a brand new Computer Vision, Deep Learning, and OpenCV tutorial every Monday at 10AM EST. Here you'll find my most recent tutorials and guides.
Last week I covered how to install OpenCV 3 with Python 2.7 bindings on macOS Sierra and above. In today’s tutorial we’ll learn how to install OpenCV 3 with Python 3.5 bindings on macOS. I decided to break these install…
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I’ll admit it: Compiling and installing OpenCV 3 on macOS Sierra was a lot more of a challenge than I thought it would be, even for someone who has a compiled OpenCV on hundreds of machines over his lifetime. If…
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Updated: September 16th, 2019 Ever since I wrote the first PyImageSearch tutorial on installing OpenCV + Python on the Raspberry Pi B+ back in February 2015 it has been my dream to offer a downloadable, pre-configured Raspbian .img file with OpenCV…
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A few months ago I demonstrated how to install the Keras deep learning library with a Theano backend. In today’s blog post I provide detailed, step-by-step instructions to install Keras using a TensorFlow backend, originally developed by the researchers and…
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Last Updated on April 30, 2022 Table of Contents Intersection over Union for object detection What is Intersection over Union? Where are you getting the ground-truth examples from? Why do we use Intersection over Union? Implementing Intersection over Union in…
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Today’s blog post is a followup to a tutorial I did a couple of years ago on finding the brightest spot in an image. My previous tutorial assumed there was only one bright spot in the image that you wanted…
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Over the past two years running the PyImageSearch blog, I’ve authored two tutorials detailing the required steps to install OpenCV (with Python bindings) on Ubuntu. You can find the two tutorials here: Install OpenCV 3.0 and Python 2.7+ on Ubuntu…
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In the previous section, we discussed gradient descent, a first-order optimization algorithm that can be used to learn a set of classifier weights for parameterized learning. However, this “vanilla” implementation of gradient descent can be prohibitively slow to run on…
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Nearly all of deep learning is powered by one very important algorithm: Stochastic Gradient Descent (SGD). — Goodfellow, Bengio, and Courville (2016) At this point, we have a strong understanding of the concept of parameterized learning. We previously discussed the…
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