You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In today’s blog post, I interview Yi Shern, a PyImageSearch reader and Machine Learning Engineer at 123RF.com, a popular stock photo website. If you’re unfamiliar with the term, a “stock photo” is a photo taken by a professional photographer and…
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In this tutorial, you will learn how to use convolutional autoencoders to create a Content-based Image Retrieval system (i.e., image search engine) using Keras and TensorFlow. A few weeks ago, I authored a series of tutorials on autoencoders: Part 1:…
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In this tutorial, you will learn how to build a scalable image hashing search engine using OpenCV, Python, and VP-Trees. Image hashing algorithms are used to: Uniquely quantify the contents of an image using only a single integer. Find duplicate…
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Today’s blog post is on image hashing — and it’s the hardest blog post I’ve ever had to write. Image hashing isn’t a particularly hard technique (in fact, it’s one of the easiest algorithms I’ve taught here on the PyImageSearch…
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