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 in augmented reality, camera pose ...
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 be able to reproduce the same ...
After the release of PyTorch in October 2016 by Facebook, it quickly gained popularity because of its developer friendliness. With its transparent and Pythonic interface, it is great for research and ...
Transfer Learning has revolutionized the way we approach image classification in PyTorch. Recently PyTorch has gained a lot of popularity because of its ease of usage and learning. Andrej Karpathy, ...
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 among all ...
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 well received, and many ...
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