Mean Average Precision (mAP) is a performance metric used for evaluating machine learning models. It is the most popular metric that is used by benchmark challenges such as PASCAL VOC, COCO, ImageNET ...
Non Maximum Suppression: Theory and Implementation in PyTorch
Non Maximum Suppression (NMS) is a technique used in numerous computer vision tasks. It is a class of algorithms to select one entity (e.g., bounding boxes) out of many overlapping entities. We can ...
Generative and Discriminative Models
Most of the Machine Learning and Deep Learning problems that you solve are conceptualized from the Generative and Discriminative Models. In Machine Learning, one can clearly distinguish between the ...
Improving Illumination in Night Time Images
Introduction Taking good pictures in poor lighting conditions can seem like magic to non-photographers. It takes a combination of skill, experience and the right equipment to accomplish low light ...
Introduction to Video Classification and Human Activity Recognition
In this post, we will learn about Video Classification. We will go over a number of approaches to make a video classifier for Human Activity Recognition. Basically, you will learn video classification ...
Optical Flow in OpenCV (C++/Python)
In this post, we will learn about the various algorithms for calculating Optical Flow in a video or sequence of frames. We will discuss the relevant theory and implementation in OpenCV of sparse and ...
