pytorch-ACSCPUnofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018
PCC-NetPCC Net: Perspective Crowd Counting via Spatial Convolutional Network
keras-mcnnkeras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...
ACSCP cGANCode implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks
PyramidScaleNetworkTo the best of our knowledge, this is the first work to explicitly address feature similarity issue in multi-column design. Extensive experiments on four challenging benchmarks (ShanghaiTech, UCF_CC_50, UCF-QNRF, and Mall) demonstrate the effectiveness of the proposed innovations as well as the superior performance over the state-of-the-art. Mor…
ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
crowd-countingImage Crowd Counting Using Convolutional Neural Network and Markov Random Field
W-Net-KerasAn unofficial implementation of W-Net for crowd counting.
CSRNet-kerasImplementation of the CSRNet paper (CVPR 18) in keras-tensorflow
S-DCNetUnofficial Pytorch implementation of S-DCNet and SS-DCNet
IIMPyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"
CrowdFlowOptical Flow Dataset and Benchmark for Visual Crowd Analysis
MARUNetMulti-level Attention Refined UNet for crowd counting
Smart-City-SampleThe 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.