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.
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
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 this tutorial, you will learn the architectural details of Progressive GAN, which enable it to generate high-resolution images. In addition, we will see how we can use Torch Hub to import a pre-trained PGAN model and use it in…
Read More of Torch Hub Series #4: PGAN — Model on GAN
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 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…
Read More of GAN Training Challenges: DCGAN for Color Images
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
This lesson is part 4 of a 4-part series on OCR 120: Tesseract Page Segmentation Modes (PSMs) Explained: How to Improve Your OCR Accuracy (tutorial 2 weeks ago) Improving OCR Results with Basic Image Processing (last week’s tutorial) Using spellchecking…
Read More of OCR Passports with OpenCV and Tesseract
