crowdcounting

Single Image Crowd Counting via MCNN (Unofficial Implementation)

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

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

LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.

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

使用OpenCV部署P2PNet人群检测和计数，包含C++和Python两种版本的实现

A modified version of the LTE Scanner supporting RTL-SDR/HackRF/BladeRF and able to extract Channel State Information (CSI) from LTE signals.

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

Multi-level Attention Refined UNet for crowd counting

SOFT-CSRNET : Counting people in drone video footage

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

Proposed fuzzy reward model with GRPO to improve VLM's abilities in crowd counting task.

Pytorch implementation of SGANet for crowd counting

ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer (TPAMI 2025)

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

A modified version of OpenLTE able to extract Channel State Information (CSI) from LTE signals.

unofficial keras port of LSC-CNN

A simple label tool for crowd counting.

Crowd Conting on Drone Data