crowdcounting
There are 24 repositories under crowdcounting topic.
svishwa/crowdcount-mcnn
Single Image Crowd Counting via MCNN (Unofficial Implementation)
svishwa/crowdcount-cascaded-mtl
Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)
weizheliu/People-Flows
The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes
cxliu0/PET
[ICCV 2023] Point-Query Quadtree for Crowd Counting, Localization, and More
tersekmatija/lwcc
LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.
hpc203/crowdcounting-p2pnet-opencv
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
leeyeehoo/CSRNet
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
rongliangzi/MARUNet
Multi-level Attention Refined UNet for crowd counting
Peco602/LTE-Cell-Scanner-CSI
A modified version of the LTE Scanner supporting RTL-SDR/HackRF/BladeRF and able to extract Channel State Information (CSI) from LTE signals.
priyanka-kasture/Crowd-Counting-with-MCNNs
Crowd counting on the ShanghaiTech dataset, using multi-column convolutional neural networks.
imenebak/UAV-Crowd-Counting
SOFT-CSRNET : Counting people in drone video footage
hellowangqian/sganet-crowd-counting
Pytorch implementation of SGANet for crowd counting
latencytime9527/Crowd-Counting-MFANet
This is the implementation of paper "A Multi-Scale and Multi-level Feature Aggregation Network for Crowd Counting"
usamahjundia/Keras-LSC-CNN
unofficial keras port of LSC-CNN
lartpang/ComPtr
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer
Peco602/OpenLTE-CSI
A modified version of OpenLTE able to extract Channel State Information (CSI) from LTE signals.
yxxxxxxxx/CrowdCountingLabelTool
A simple label tool for crowd counting.
elharroussomar/Crowd-Conting-on-Drone-Data
Crowd Conting on Drone Data
stanleykywu/covid-19-crowd-counting
Using transfer learning on pretrained image models to learn density map generation and count the number of people in an image.
erfunmirzaei/Crowd-Counting
Developed Counting Convolutional Neural Network (CCNN) for Crowd Counting- Deep Neural Network Course Project
parthvasoya59/Crowd-Countings
This machine learning project uses computer vision techniques to count the number of people entering and exiting a mall.
ieee820/GCC-CL
GCC dataset Collector and Labeler (GCC CL) [CVPR2019]
links-ads/starlight-crowd-counting-inference
This repository performs crowd counting inference using a pre-trained ONNX model. Input an image to estimate head localization in crowded scenes.