You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In this tutorial, you will learn how to use Keras to train a neural network, stop training, update your learning rate, and then resume training from where you left off using the new learning rate. Using this method you can…
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In this tutorial, you will learn how to install OpenCV 4 on the Raspberry Pi 4 and Raspbian Buster. You will learn how to install OpenCV 4 on Raspbian Buster via both: A simple pip-install method (which can be completed…
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In this tutorial, you will learn how to use multiprocessing with OpenCV and Python to perform feature extraction. You’ll learn how to use multiprocessing with OpenCV to parallelize feature extraction across the system bus, including all processors and cores on…
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Last updated on July 9, 2021. In this tutorial, you will learn how to use OpenCV to stream video from a webcam to a web browser/HTML page using Flask and Python. Ever have your car stolen? Mine was stolen over…
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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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In this tutorial, you will learn how to implement a simple scene boundary/shot transition detector with OpenCV. Two weeks ago I flew out to San Diego, CA for a vacation with my Dad. We were on the first flight out…
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In today’s blog post, I interview Kapil Varshney, a PyImageSearch reader who was recently hired at Esri Research and Development as a Data Scientist focusing on Computer Vision and Deep Learning. Kapil’s story is really important as it shows that,…
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In this tutorial, you will learn how to automatically find learning rates using Keras. This guide provides a Keras implementation of fast.ai’s popular “lr_find” method. Today is part three in our three-part series of learning rate schedules, policies, and decay…
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In this tutorial, you will learn how to use Cyclical Learning Rates (CLR) and Keras to train your own neural networks. Using Cyclical Learning Rates you can dramatically reduce the number of experiments required to tune and find an optimal…
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