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.

Multi-level Attention Refined UNet for crowd counting

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

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"

No description provided.

unofficial keras port of LSC-CNN

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

A simple label tool for crowd counting.

Crowd Conting on Drone Data

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

This machine learning project uses computer vision techniques to count the number of people entering and exiting a mall.

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

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