Image Crowd Counting Using Convolutional Neural Network and Markov Random Field
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Updated
Dec 7, 2017 - C++
Image Crowd Counting Using Convolutional Neural Network and Markov Random Field
Code of CVPR 2016 work of Single Image Crowd Counting using Multi-Column CNN
Crowd counting on the ShanghaiTech dataset, using multi-column convolutional neural networks.
Keras version implementation of Multi-column CNN for crowd counting.
Crowd counting Code for IEEE Access paper "DA-Net: Learning the fine-grained density distribution with deformation aggregation network"
Implementation of AMDCN, a convolutional neural network for counting objects in images.
Official implementation of "Where are the People? A Multi-Stream Convolutional Neural Network for Crowd Counting via Density Map from Complex Images" presented in IWSSIP 2019
An unofficial implementation of the ICASSP 2019 paper Adaptive Scenario Discovery for Crowd Counting by PyTorch.
Crowd Counting Via Scale-adaptive Convolutional Neural Network
An unofficial implementation of W-Net for crowd counting.
An unofficial implementation of CSRNet for crowd counting.
Implementation of the CSRNet paper (CVPR 18) in keras-tensorflow
fast visual object counting via example-based density estimation
Scans advertising BLE devices and reports to a React Native App
This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].
NanoNets Crowd Counting Detection API Example for Python
Code for "Multi-Stream Networks and Ground-Truth Generation for Crowd Counting" presented in IJECES
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