You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In this tutorial, you will learn how to use the dlib library to efficiently track multiple objects in real-time video. So far in this series on object tracking we have learned how to: Track single objects with OpenCV Track multiple…
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This tutorial will teach you how to perform object tracking using dlib and Python. After reading today’s blog post you will be able to track objects in real-time video with dlib. A couple months ago we discussed centroid tracking, a…
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In today’s blog post we will investigate a practical use case of applying deep learning to hydroponics, a type of method used to grow plants without soil using mineral-rich nutrient solutions in a water solvent. Specifically, you will learn how…
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Should I be using Keras vs. TensorFlow for my project? Is TensorFlow or Keras better? Should I invest my time studying TensorFlow? Or Keras? The above are all examples of questions I hear echoed throughout my inbox, social media, and…
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PyImageConf 2018, PyImageSearch’s very own computer vision and deep learning education conference, took place August 26th-28th in San Francisco, CA at the Regency Hyatt. It was an amazing conference and based on attendee feedback, it was HUGE success. Today I…
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Today I’m going to show you how to compile and install OpenCV 4 on your Raspberry Pi. OpenCV 4 was officially released on November 20th, 2018. This blog post was updated subsequently on November 28th to accommodate the changes to…
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Last updated on July 4, 2021. In this tutorial, you will learn how to use OpenCV to perform face recognition. To build our face recognition system, we’ll first perform face detection, extract face embeddings from each face using deep learning,…
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In this tutorial, you will learn how to pip install OpenCV on Ubuntu, macOS, and the Raspberry Pi. In previous OpenCV install tutorials I have recommended compiling from source; however, in the past year it has become possible to install…
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Last Updated on July 5, 2021 In this tutorial, you will learn how to apply OpenCV OCR (Optical Character Recognition). We will perform both (1) text detection and (2) text recognition using OpenCV, Python, and Tesseract. A few weeks ago…
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