Sunita Nayak
In this post, we will explain what ArUco markers are and how to use them for simple augmented reality tasks using OpenCV. ArUco markers have been used for a while
Imagine you trained a deep learning model on some dataset. A few days later, you want to reproduce the same experiment, but if you were not careful, you may never
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.
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
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
Training deep learning models is known to be a time consuming and technically involved task. But if you want to create Deep Learning models for Apple devices, it is super
A few weeks back we wrote a post on Object detection using YOLOv3. In this post we will discuss Mask RCNN in OpenCV. The output of an object detector is
In this post, we will understand what is Yolov3 and learn how to use YOLOv3 — a state-of-the-art object detector — with OpenCV. YOLOv3 is the latest variant of a
Sometimes technology enhances art. Sometimes it vandalizes it. Colorizing black and white films is an ancient idea dating back to 1902. For decades many movie creators opposed the idea of
In this post, we will learn what Batch Normalization is, why it is needed, how it works, and how to implement it using Keras. Batch Normalization was first introduced by
Billionaire investor and entrepreneur Peter Thiel’s favorite contrarian questions is What important truth do very few people agree with you on? If you had asked this question to Prof. Geoffrey
