Have you ever wondered how robots navigate autonomously, grasp different objects or avoid collisions while moving? Using stereo vision-based depth estimation is a common method used for such ...
Background Subtraction with OpenCV and BGS Libraries
The task of marking foreground entities plays an important role in the video pre-processing pipeline as the initial phase of computer vision (CV) applications. As examples of such applications, we can ...
CNN Receptive Field Computation Using Backprop with TensorFlow
In our recent post about receptive field computation, we examined the concept of receptive fields using PyTorch. We learned receptive field is the proper tool to understand what the network 'sees' ...
Augmented Reality using ArUco Markers in OpenCV (C++ / Python)
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 ...
Faster R-CNN Object Detection with PyTorch
1. Image Classification vs. Object Detection Image Classification is a problem where we assign a class label to an input image. For example, given an input image of a cat, the output of an image ...
Image Classification using Transfer Learning in PyTorch
Recently PyTorch has gained a lot of popularity because of its ease of usage and learning. Andrej Karpathy, Senior Director of AI at Tesla, said the following in his tweet. Jokes apart, PyTorch ...
