Keras based implementation of the CSRNET model

Crowd Counting: A view around state-of-the-art

AI based application that counts the number of people in a crowd and also detects the total social distancing violations dynamically.

Crowd Counting Via Scale-adaptive Convolutional Neural Network

An intelligent system to disable gathering during pandemic

Securely and privately verifiable protests

Data preprocessing & augmentation framework, designed for working with crowd counting datasets, ML/DL framework-independent. Supports multitude of simple as well as advanced transformations, outputs and loaders, all of them to be combined using pipelines.

This is the key code of the paper "CCST: Crowd Counting with Swin Transformer"

The code of paper: Hypergraph Association Weakly Supervised Crowd Counting

Project page for "OmniCount: Multi-label Object Counting with Semantic-Geometric Priors"

my personal website

An experiment in open-ended publishing

Developed Counting Convolutional Neural Network (CCNN) for Crowd Counting- Deep Neural Network Course Project

Welcome to the Crowd Counter program! This Python application utilizes the p2pnet model to calculate the number of people in a crowd based on an input image. The program marks each and every entity in the crowd with a point and provides the total count of individuals as the program output. 🙆‍♂️🙆‍♀️

Crowd Counting - From Real to Synthetic Datasets

Perspective-Aware CNN for Crowd Counting

Image Meta Data Annotation Tool for Crowd Counting

This repository contains the implementation of a wide variety of Deep Learning Projects in different applications of computer vision, NLP, federated, and distributed learning. These projects include university projects and projects implemented due to interest in Deep Learning.