Awesome Crowd Counting
An open-source PyTorch code for crowd counting
翻译 - 开源的PyTorch代码用于人群计数
The official codes for the ICCV2021 Oral presentation "Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework"
Single Image Crowd Counting via MCNN (Unofficial Implementation)
An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)
This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-conv...
The sample code for a large-scale crowd counting dataset, NWPU-Crowd.
Crowd Counting Via Scale-adaptive Convolutional Neural Network
mutil_column CNN for crowd counting
Real-Time Crowd Counting Using CANNet
Official Code for Context-Aware Crowd Counting. CVPR 2019
Multi-level Attention Refined UNet for crowd counting
Code implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks
Tensorflow implementation of crowd counting using CNNs from overhead surveillance cameras.
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
Crowd counting on the ShanghaiTech dataset, using multi-column convolutional neural networks.
Dataset appeared in Single Image Crowd Counting via Multi Column Convolutional Neural Network(MCNN)
This is an unofficial implement of the arXiv paper Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting by PyTorch.
A very ugly unofficial implementation of CVPR2016 paper Single-Image Crowd Counting via Multi Column Convolutional Neural Network using tensorflow and keras
This is an simple implemention of Single-Image Crowd Counting via Multi-Column Convolutional Neural Network.