You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In this tutorial, you will learn how to perform semantic segmentation using OpenCV, deep learning, and the ENet architecture. After reading today’s guide, you will be able to apply semantic segmentation to images and video using OpenCV. Deep learning has…
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In this tutorial, you will learn how to apply neural style transfer to both images and real-time video using OpenCV, Python, and deep learning. By the end of this guide, you’ll be able to generate beautiful works of art with…
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Last updated on July 7, 2021. In this tutorial you will learn how to use OpenCV to detect text in natural scene images using the EAST text detector. OpenCV’s EAST text detector is a deep learning model, based on a…
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Last updated on July 8, 2021. In this tutorial you will learn how to build a “people counter” with OpenCV and Python. Using OpenCV, we’ll count the number of people who are heading “in” or “out” of a department store…
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Inside today’s tutorial, you will learn how to track multiple objects using OpenCV and Python. This post was inspired by a question I received from PyImageSearch reader, Ariel. Ariel writes: Hi Adrian, thanks for last week’s blog post on object…
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In last week’s blog post we got our feet wet by implementing a simple object tracking algorithm called “centroid tracking”. Today, we are going to take the next step and look at eight separate object tracking algorithms built right into…
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Last updated on Mar 15th, 2023. Today’s tutorial kicks off a new series of blog posts on object tracking, arguably one of the most requested topics here on PyImageSearch. Object tracking is the process of: Taking an initial set of…
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Whether you’re interested in learning how to apply facial recognition to video streams, building a complete deep learning pipeline for image classification, or simply want to tinker with your Raspberry Pi and add image recognition to a hobby project, you’ll…
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Today’s tutorial is on saliency detection, the process of applying image processing and computer vision algorithms to automatically locate the most “salient” regions of an image. In essence, saliency is what “stands out” in a photo or scene, enabling your…
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