In this post, we will explain the image formation from a geometrical point of view. Specifically, we will cover the math behind how a point in 3D gets projected on the image plane. This post ...
Gaze Tracking
In today's post, we are covering the topic of Gaze Estimation and Tracking. I was invited to give a talk on the subject at a workshop on Eye Tracking for AR and VR organized by Facebook Research ...
Simple Background Estimation in Videos using OpenCV (C++/Python)
In many computer vision applications, the processing power at your disposal is low. In such cases, we have to use simple, yet effective techniques. In this post, we will cover one such technique ...
EfficientNet: Theory + Code
In this post, we will discuss the paper "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks" At the heart of many computer vision tasks like image classification, object ...
Mask RCNN Pytorch – Instance Segmentation
In this post, we will discuss the theory behind Mask RCNN Pytorch and how to use the pre-trained Mask R-CNN model in PyTorch. This post is part of our series on PyTorch for Beginners. 1. ...
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 ...