You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
Deep LearningLearn how to successfully apply Deep Learning to Computer Vision projects using Keras, TensorFlow, OpenCV, and more with my free Deep Learning tutorials and guides.
In this tutorial, you will learn how to use the EasyOCR package to easily perform Optical Character Recognition and text detection with Python. EasyOCR, as the name suggests, is a Python package that allows computer vision developers to effortlessly perform…
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In this post, I interview my former UMBC lab mate, Dr. Huguens Jean, who was just hired to work at Google’s Video AI Group as an artificial intelligence researcher. Huguens shares his inspirational story, starting from Port-au-Prince, Haiti where he…
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In this tutorial, you will learn how to perform OCR handwriting recognition using OpenCV, Keras, and TensorFlow. This post is Part 2 in our two-part series on Optical Character Recognition with Keras and TensorFlow: Part 1: Training an OCR model…
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In this tutorial, you will learn how to train an Optical Character Recognition (OCR) model using Keras, TensorFlow, and Deep Learning. This post is the first in a two-part series on OCR with Keras and TensorFlow: Part 1: Training an…
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In this tutorial, you will create an automatic Sudoku puzzle solver using OpenCV, Deep Learning, and Optical Character Recognition (OCR). OCR and Sudoku solving algorithms demand diverse and complex data. A comprehensive dataset ensures that these algorithms are tested against…
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In this post, I interview Brandon Gilles, a longtime PyImageSearch reader, and creator of the OpenCV AI Kit (OAK), which is revolutionizing how we are performing embedded computer vision and deep learning. To celebrate the 20th anniversary of the OpenCV…
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In this tutorial, you will learn how to build an R-CNN object detector using Keras, TensorFlow, and Deep Learning. Today’s tutorial is the final part in our 4-part series on deep learning and object detection: Part 1: Turning any CNN…
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In this tutorial, you will learn how to utilize region proposals for object detection using OpenCV, Keras, and TensorFlow. Today’s tutorial is part 3 in our 4-part series on deep learning and object detection: Part 1: Turning any deep learning…
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In this tutorial, you will learn how to take any pre-trained deep learning image classifier and turn it into an object detector using Keras, TensorFlow, and OpenCV. Today, we’re starting a four-part series on deep learning and object detection: Part…
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