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OCR with Keras, TensorFlow, and Deep Learning
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...
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OCR: Handwriting recognition with OpenCV, Keras, and TensorFlow
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...
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Image alignment and registration with OpenCV
In this tutorial, you will learn how to perform image alignment and image registration using OpenCV. Image alignment and registration have a number of practical, real-world use cases, including:...
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An interview with Huguens Jean, video AI researcher at Google
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...
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OCR a document, form, or invoice with Tesseract, OpenCV, and Python
In this tutorial, you will learn how to OCR a document, form, or invoice using Tesseract, OpenCV, and Python. Last week, we discussed how to accept an input image and align it to a template image,...
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An interview with Saideep Talari, CTO of SenseHawk (who just raised $5.1M in...
Back in 2017, I asked Saideep Talari, then a PyImageSearch Gurus course graduate, to come onto the blog and share his story on how he changed his career from a security analyst to a machine learning...
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Getting started with EasyOCR for Optical Character Recognition
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...
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OpenCV: Automatic License/Number Plate Recognition (ANPR) with Python
In this tutorial, you will build a basic Automatic License/Number Plate Recognition (ANPR) system using OpenCV and Python. ANPR is one of the most requested topics here on the PyImageSearch blog. I’ve...
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Image Segmentation with Mask R-CNN, GrabCut, and OpenCV
In this tutorial, you will learn how to perform image segmentation with Mask R-CNN, GrabCut, and OpenCV. A couple months ago, you learned how to use the GrabCut algorithm to segment foreground objects...
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Object detection: Bounding box regression with Keras, TensorFlow, and Deep...
In this tutorial you will learn how to train a custom deep learning model to perform object detection via bounding box regression with Keras and TensorFlow. Today’s tutorial is inspired by a message I...
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An interview with Maria Rosvold and Shriya Nama, high schoolers studying...
In this post, I interview Maria Rosvold and Shriya Nama, two high schoolers studying computer vision and robotics. Together, they are competing in in the 2020 RoboMed competition, part of the annual...
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Multi-class object detection and bounding box regression with Keras,...
In this tutorial, you will learn how to train a custom multi-class object detector using bounding box regression with the Keras and TensorFlow deep learning libraries. Last week’s tutorial covered how...
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Adversarial images and attacks with Keras and TensorFlow
In this tutorial, you will learn how to break deep learning models using image-based adversarial attacks. We will implement our adversarial attacks using the Keras and TensorFlow deep learning...
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Targeted adversarial attacks with Keras and TensorFlow
In this tutorial, you will learn how to perform targeted adversarial attacks and construct targeted adversarial images using Keras, TensorFlow, and Deep Learning. Last week’s tutorial covered...
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AprilTag with Python
In this tutorial, you will learn how to perform AprilTag detection with Python and the OpenCV library. AprilTags are a type of fiducial marker. Fiducials, or more simply “markers,” are reference...
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OpenCV Super Resolution with Deep Learning
In this tutorial you will learn how to perform super resolution in images and real-time video streams using OpenCV and Deep Learning. Today’s blog post is inspired by an email I received from...
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GANs with Keras and TensorFlow
In this tutorial you will learn how to implement Generative Adversarial Networks (GANs) using Keras and TensorFlow. Generative Adversarial Networks were first introduced by Goodfellow et al. in their...
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Building image pairs for siamese networks with Python
In this tutorial you will learn how to build image pairs for training siamese networks. We’ll implement our image pair generator using Python so that you can use the same code, regardless of whether...
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Siamese networks with Keras, TensorFlow, and Deep Learning
In this tutorial you will learn how to implement and train siamese networks using Keras, TensorFlow, and Deep Learning. This tutorial is part two in our three-part series on the fundamentals of...
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Comparing images for similarity using siamese networks, Keras, and TensorFlow
In this tutorial, you will learn how to compare two images for similarity (and whether or not they belong to the same or different classes) using siamese networks and the Keras/TensorFlow deep...
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