You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In the previous part of this series, we discussed some state-of-the-art object detection models; YOLOv5 and SSD. In today’s tutorial, we will discuss MiDaS, an ingenious attempt to aid the depth estimation of images. With this tutorial, we will create…
Read More of Torch Hub Series #5: MiDaS — Model on Depth Estimation
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
In the previous tutorial, we learned the essence behind Torch Hub and its conception. Then, we published our model using the intricacies of Torch Hub and accessed it through the same. But, what happens when our work requires us to…
Read More of Torch Hub Series #2: VGG and ResNet
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…
Read More of Torch Hub Series #1: Introduction to Torch Hub
In this tutorial, you will learn how to train a custom object detector from scratch using PyTorch. This lesson is part 2 of a 3-part series on advanced PyTorch techniques: Training a DCGAN in PyTorch (last week’s tutorial) Training an…
Read More of Training an object detector from scratch in PyTorch
In this tutorial, we will learn how to train our first DCGAN Model using PyTorch to generate images. This lesson is part 1 of a 3-part series on Advanced PyTorch Techniques: Training a DCGAN in PyTorch (today’s tutorial) Training an…
Read More of Training a DCGAN in PyTorch
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)…
Read More of Introduction to Distributed Training in PyTorch
In this tutorial, we’ll learn about a step-by-step implementation and utilization of OpenCV’s Contour Approximation. When I first chanced upon the concept of Contour Approximation, the first question that hit me was: Why? Throughout my journey in Machine Learning and…
Read More of OpenCV Contour Approximation
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…
Read More of Pixel Shuffle Super Resolution with TensorFlow, Keras, and Deep Learning
