Keras based implementation of the CSRNET model
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Updated
Mar 29, 2020 - Jupyter Notebook
Keras based implementation of the CSRNET model
Crowd Counting: A view around state-of-the-art
Crowd Counting
AI based application that counts the number of people in a crowd and also detects the total social distancing violations dynamically.
MPCountのONNX変換/推論のサンプル
Crowd Counting using Xception
Crowd Counting Via Scale-adaptive Convolutional Neural Network
An intelligent system to disable gathering during pandemic
Securely and privately verifiable protests
Data preprocessing & augmentation framework, designed for working with crowd counting datasets, ML/DL framework-independent. Supports multitude of simple as well as advanced transformations, outputs and loaders, all of them to be combined using pipelines.
This repository contains the code for the Curriculum Learning (CL) based algorithm for crowd counting, as described in our paper "Optimizing Crowd Counting in Dense Environments through Curriculum Learning Training Strategy".
This is the key code of the paper "CCST: Crowd Counting with Swin Transformer"
Blender extension designed to generate crowd detection datasets automatically
Project page for "OmniCount: Multi-label Object Counting with Semantic-Geometric Priors"
The code of paper: Hypergraph Association Weakly Supervised Crowd Counting
Developed Counting Convolutional Neural Network (CCNN) for Crowd Counting- Deep Neural Network Course Project
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