OpenCV OCR and text recognition with Tesseract - PyImageSearch
Deep Learning Optical Character Recognition (OCR) Tutorials by Adrian Rosebrock on September 17, 2018 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 I showed you how to perform text detection using OpenCV’s EAST deep learning model. Using
Deep Learning for Computer Vision with Python: Master Deep Learning Using My New Book
3rd Edition Released — Officially supports Keras and TensorFlow 2.0. Grab your copy now! You're interested in deep learning and computer vision... ...but you don't know how to get started. Let me help. Whether this is the first time you've worked with machine learning and neural networks or you're already a seasoned deep learning practitioner, Deep Learning for Computer Vision with Python is engin
ImageNet classification with Python and Keras - PyImageSearch
PyImageSearch You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch Normally, I only publish blog posts on Monday, but I’m so excited about this one that it couldn’t wait and I decided to hit the publish button early. You see, just a few days ago, François Chollet pushed three Keras models (VGG16, VGG19, and ResNet50) online — these networks are pre-trained on the ImageNet data
Building image search an engine using Python and OpenCV - PyImageSearch
Examples of Image Search Engines Image Search Engine Basics Tutorials by Adrian Rosebrock on December 1, 2014 Let’s face it. Trying to search for images based on text and tags sucks. Whether you are tagging and categorizing your personal images, searching for stock photos for your company website, or simply trying to find the right image for your next epic blog post, trying to use text and keyword
Deep Learning on Amazon EC2 GPU with Python and nolearn - PyImageSearch
Deep Learning Tutorials by Adrian Rosebrock on October 13, 2014 Last week I wrote a post detailing my experience with CUDAMat, Deep Belief Networks, and Python using my MacBook Pro. The post is fairly long and full of screenshots to document my experience. But the gist of it is this: Even after installing the NVIDIA Cuda SDK and configuring CUDAMat, my CPU was training my Deep Belief Network (impl
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OpenCV 'dnn' with NVIDIA GPUs: 1549% faster YOLO, SSD, and Mask R-CNN - PyImageSearch