You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for traffic or stadium sensing, analytics and management tasks.
This repository presents a method for people counting using a CNN trained with IR-UWB radar samples, in the COVID-19 and GDPR context. The purpose is the monitoring of the number of people inside a room, sending e-mail notifications every 10 minutes with the status of the room.
The OpenCV project is dedicated to tracking and counting people present in both images and videos. With two distinct folders, this project performs people tracking and counting and also includes the ability to predict the distance from the camera and determine their direction.
This repository contains a crowd counting model using the CSRNet architecture to estimate the number of people in crowded scenes. The model is trained on the Shanghaitech dataset and aims to provide accurate crowd density maps and count predictions. Data augmentation techniques are employed to enhance the model's performance.