Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

A simple label tool for crowd counting.

Crowd counting on the ShanghaiTech dataset, using multi-column convolutional neural networks.

unofficial keras port of LSC-CNN

Single Image Crowd Counting via MCNN (Unofficial Implementation)

This is the implementation of paper "A Multi-Scale and Multi-level Feature Aggregation Network for Crowd Counting"

Multi-level Attention Refined UNet for crowd counting

The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes

Using transfer learning on pretrained image models to learn density map generation and count the number of people in an image.

Pytorch implementation of SGANet for crowd counting

This repository performs crowd counting inference using a pre-trained ONNX model. Input an image to estimate head localization in crowded scenes.

[ICCV 2023] Point-Query Quadtree for Crowd Counting, Localization, and More