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Object Detection
Tutorials

Introduction to the YOLO Family

April 4, 2022

Table of Contents Introduction to the YOLO Family Introduction to Object Detection Challenges History of Object Detection What Are Single-Stage Object Detectors? YOLOv1 YOLOv2 YOLOv3 YOLOv4 YOLOv5 Mosaic Data Augmentation Quantitative Benchmark YOLOv5 Nano Release YOLOv5n Compared with YOLOv4-Tiny PP-YOLO…

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Deep Learning
Keras
Semantic Segmentation
Tutorials

U-Net Image Segmentation in Keras

February 21, 2022

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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GANs
Generative Adversarial Networks (GANs)
Tutorials

Anime Faces with WGAN and WGAN-GP

February 7, 2022

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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Optical Character Recognition (OCR)
Tutorials

Correcting Text Orientation with Tesseract and Python

January 31, 2022

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…

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Deep Learning
PyTorch
Tutorials

Torch Hub Series #1: Introduction to Torch Hub

December 20, 2021

In this tutorial, you will learn the basics of PyTorch’s Torch Hub. This lesson is part 1 of a 6-part series on Torch Hub: Torch Hub Series #1: Introduction to Torch Hub (this tutorial) Torch Hub Series #2: VGG and…

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GANs
Generative Adversarial Networks (GANs)
Tutorials

GAN Training Challenges: DCGAN for Color Images

December 13, 2021

In this tutorial, you will learn how to train a DCGAN to generate fashion images in color. You will learn the common challenges, techniques to address these challenges, and GAN evaluation metrics through the training process. This lesson is the…

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Optical Character Recognition
Tutorials

Using spellchecking to improve Tesseract OCR accuracy

November 29, 2021

In a previous tutorial, you learned how to use the textblob library and Tesseract to automatically OCR text and then translate it to a different language. This tutorial will also use textblob, but this time to improve OCR accuracy by…

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Optical Character Recognition
Tutorials

Improving OCR Results with Basic Image Processing

November 22, 2021

In our previous tutorial, you learned how to improve the accuracy of Tesseract OCR by supplying the appropriate page segmentation mode (PSM). The PSM allows you to select a segmentation method dependent on your particular image and the environment in…

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Computer Graphics
NeRF
TensorFlow
Tutorials

Computer Graphics and Deep Learning with NeRF using TensorFlow and Keras: Part 2

November 17, 2021

Table of Contents Computer Graphics and Deep Learning with NeRF using TensorFlow and Keras: Part 2 Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Introduction to NeRF Input Data Pipeline Utility and Images Generate Rays Sample…

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You can learn Computer Vision, Deep Learning, and OpenCV.

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