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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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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 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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In my childhood, the movie Spy Kids was one of my favorite things to watch on television. Seeing kids of my age using futuristic gadgets to save the world and win the day might have been a common trope, but…
Read More of Torch Hub Series #3: YOLOv5 and SSD — Models on Object Detection
My day-to-day life includes training many deep learning models. Sometimes I am blessed with an architecture that is small yet capable of providing extraordinary results. Other times, I have to tread the difficult path of training huge architectures to fetch…
Read More of Fast Neural Network Training with Distributed Training and Google TPUs
In this tutorial, you will learn the basics of distributed training with PyTorch. This is the last lesson in a 3-part tutorial on intermediate PyTorch techniques for computer vision and deep learning practitioners: Image Data Loaders in PyTorch (1st lesson)…
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An essential part of any Deep Learning based system is to structure the data loading pipeline such that it can be seamlessly integrated with your deep learning model. In this tutorial, we will understand the working of data loading functionalities…
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When an image is increased in size (spatially, along the width and height), the conventional methods lead to new pixel information getting created which often degrades the image quality giving a soft and blurry image as output. Thankfully, as with…
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This post covers the intuition of Generative Adversarial Networks (GANs) at a high level, the various GAN variants, and applications for solving real-world problems. This is the first post of a GAN tutorial series: Intro to Generative Adversarial Networks (GANs)…
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