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

Code for FCHD - A fast and accurate head detector

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.

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.

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

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

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

Official Code for Context-Aware Crowd Counting. CVPR 2019

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

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

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

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.

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

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

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

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

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

Multi-level Attention Refined UNet for crowd counting

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