Deep Learning
This post “Torchvision Semantic Segmentation,” is part of the series in which we will cover the following topics. 1. What is Semantic Segmentation? Semantic Segmentation is an image analysis procedure
Hi! This post is part of our PyTorch series. In the previous post, Pytorch Tutorial for beginners, we discussed PyTorch, it’s strengths and why you should learn it. We also
The world is evolving and so is the technology serving it. It’s crucial for everyone to keep up with the rapid changes in technology. One of the domains witnessing the
The blog post provides code and shows how to do inference using a Pytorch model with ONNX and Caffe2.
We describe how to do image classification in PyTorch. We use a subset of CalTech256 dataset to classify 10 different kinds of animals.
Face Recognition is a computer vision technique which enables a computer to predict the identity of a person from an image. This is a multi-part series on face recognition. This
In our previous posts, we discussed how to perform Body and Hand pose estimation using the OpenPose library. Recently, as part of our consulting business, we got a chance to
In this tutorial, we will discuss an interesting application of Deep Learning applied to faces. We will estimate the age and figure out the gender of the person from a
Last year, Google released a publicly available dataset called Open Images V4 which contains 15.4M annotated bounding boxes for over 600 object categories. It has 1.9M images and is largest
The common saying is, “A picture is worth a thousand words.” In this post, we will take that literally and try to find the words in a picture! In an
YOLOv3 is one of the most popular real-time object detectors in Computer Vision. In our previous post, we shared how to use YOLOv3 in an OpenCV application. It was very
In this post, we will learn how to squeeze the maximum performance out of OpenCV’s Deep Neural Network (DNN) module using Intel’s OpenVINO toolkitpost, we compared the performance of OpenCV
