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 ...
Deep Learning with OpenCV DNN Module: A Definitive Guide
The field of computer vision has existed since the late 1960s. Image classification and object detection are some of the oldest problems in the field of computer vision that researchers have tried to ...
Classification with Localization: Convert any Keras Classifier to a Detector
Image classification is used to solve several Computer Vision problems; right from medical diagnoses, to surveillance systems, on to monitoring agricultural farms. There are innumerable ...
Experiment Logging with TensorBoard and wandb
When approaching a problem using Machine Learning or Deep Learning, researchers often face a necessity of model tuning because the chosen method usually depends on various hyperparameters and used ...
Training a Custom Object Detector with DLIB & Making Gesture Controlled Applications
In this article, you will learn how to build python-based gesture-controlled applications using AI. We will guide you all the way with step-by-step instructions. I'm sure you will have loads of fun ...
Using Facial Landmarks for Overlaying Faces with Masks
Have you ever wondered how Instagram masks are fitting so perfectly on your face? Would you like to know how you can try to implement something similar by yourself? This post will help you with that! ...
