You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
I publish a brand new Computer Vision, Deep Learning, and OpenCV tutorial every Monday at 10AM EST. Here you'll find my most recent tutorials and guides.
Table of Contents Choosing the Research Topic and Reading Its Literature Choosing Your Research Topic Find Something That Excites You and Is Relevant to the Community Try to Find a Domain Where the Literature Is Not Very Crowded Work with…
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In this tutorial, you will learn to improve text detection speed with OpenCV and GPUs. This tutorial is the last in a 4-part series on OCR with Python: Multi-Column Table OCR OpenCV Fast Fourier Transform (FFT) for Blur Detection in…
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In this tutorial, you will learn how to OCR video streams. This lesson is part 3 of a 4-part series on Optical Character Recognition with Python: Multi-Column Table OCR OpenCV Fast Fourier Transform (FFT) for Blur Detection in Images and…
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In this tutorial, you will: Discover a technique for associating rows and columns together Learn how to detect tables of text/data in an image Extract the detected table from an image OCR the text in the table Apply hierarchical agglomerative…
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In this tutorial, you will learn how to create U-Net, an image segmentation model in TensorFlow 2 / Keras. We will first present a brief introduction on image segmentation, U-Net architecture, and then walk through the code implementation with a…
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In this tutorial, you will learn to use image super resolution. This lesson is part of a 3-part series on Super Resolution: OpenCV Super Resolution with Deep Learning Image Super Resolution (this tutorial) Pixel Shuffle Super Resolution with TensorFlow, Keras,…
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In this post, we implement two GAN variants: Wasserstein GAN (WGAN) and Wasserstein GAN with Gradient Penalty (WGAN-GP), to address the training instability discussed in my previous post, GAN Training Challenges: DCGAN for Color Images. We will train the WGAN…
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An essential component of any OCR system is image preprocessing — the higher the quality input image you present to the OCR engine, the better your OCR output will be. To be successful in OCR, you need to review arguably…
Read More of Correcting Text Orientation with Tesseract and Python
In this tutorial, you will learn the concept behind Fully Convolutional Networks (FCNs) for segmentation. In addition, we will see how we can use Torch Hub to import a pre-trained FCN model and use it in our projects to get…
Read More of Torch Hub Series #6: Image Segmentation
