crowd-counting

axinc-ai/ailia-models

The collection of pre-trained, state-of-the-art AI models for ailia SDK

gjy3035/C-3-Framework

An open-source PyTorch code for crowd counting

aditya-vora/FCHD-Fully-Convolutional-Head-Detector

Code for FCHD - A fast and accurate head detector

val-iisc/lsc-cnn

OpenVisualCloud/Smart-City-Sample

The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for traffic or stadium sensing, analytics and management tasks.

CommissarMa/Crowd_counting_from_scratch

This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd scenes through computer vision and deep learning.

dk-liang/FIDTM

[IEEE TMM 23] Focal Inverse Distance Transform Maps for Crowd Localization

gjy3035/NWPU-Crowd-Sample-Code

The sample code for a large-scale crowd counting dataset, NWPU-Crowd.

taohan10200/IIM

PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"

weizheliu/Context-Aware-Crowd-Counting

Official Code for Context-Aware Crowd Counting. CVPR 2019

gjy3035/GCC-SFCN

This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].

gjy3035/GCC-CL

GCC dataset Collector and Labeler (GCC CL) [CVPR2019]

zyrant/Summary-of-RGB-T-Salient-Object-Detection-and-Semantic-segmentation

Summary of RGB-T Salient Object Detection, Semantic segmentation and Crowd Counting.

LoraLinH/Boosting-Crowd-Counting-via-Multifaceted-Attention

Official Implement of CVPR 2022 paper 'Boosting Crowd Counting via Multifaceted Attention'

Neerajj9/CSRNet-keras

Implementation of the CSRNet paper (CVPR 18) in keras-tensorflow

tsenst/CrowdFlow

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

Pongpisit-Thanasutives/Variations-of-SFANet-for-Crowd-Counting

The official implementation of "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"

Ling-Bao/mscnn

mscnn crowd counting model implementation, source from "Multi-scale Convolution Neural Networks for Crowd Counting" write by Zeng L, Xu X, Cai B, et al.

darpan-jain/crowd-counting-using-tensorflow

Tensorflow implementation of crowd counting using CNNs from overhead surveillance cameras.

gjy3035/PCC-Net

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

AaronCIH/APGCC

ECCV24 - Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance

Huntersxsx/SJTU-VideoAnalysis

智能视频分析：视频目标检测，视频人群计数

tersekmatija/lwcc

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

taohan10200/STEERER

STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning, ICCV, 2023

BigTeacher-777/DA-Net-Crowd-Counting

Crowd counting Code for IEEE Access paper "DA-Net: Learning the fine-grained density distribution with deformation aggregation network"

ZhengPeng7/SANet-Keras

Implement SANet for crowd counting in Keras.

rongliangzi/MARUNet

Multi-level Attention Refined UNet for crowd counting

Ling-Bao/ACSCP_cGAN

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

imkanghan/crowd-counting

Image Crowd Counting Using Convolutional Neural Network and Markov Random Field

diptodip/counting

Implementation of AMDCN, a convolutional neural network for counting objects in images.

rongliangzi/Dense-Scale-Network-for-Crowd-Counting

An unofficial implement of paper "Dense Scale Network for Crowd Counting", link: https://arxiv.org/abs/1906.09707

aditya-vora/crowd_counting_tensorflow

Code of CVPR 2016 work of Single Image Crowd Counting using Multi-Column CNN

vlad3996/lsc-cnn

embracesource-cv-com/keras-mcnn

keras实现的人群密度检测网络"Single Image Crowd Counting via Multi Column Convolutional Neural Network"，欢迎试用、关注并反馈问题...

maheshkkumar/fscc

Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning (WACV 2020)