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#计算机科学#An open-source PyTorch code for crowd counting
System integrated with YOLOv4 and Deep SORT for real-time crowd monitoring, then perform crowd analysis. The system is able to monitor for abnormal crowd activity, social distance violation and restri...
Optical Flow Dataset and Benchmark for Visual Crowd Analysis
Crowd behavior analysis is an important field of research in modern world. It has wide applications in surveillance and public safety which are one of the prime social concerns. One way to analyze cro...
PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"
The sample code for a large-scale crowd counting dataset, NWPU-Crowd.
This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Real Time Analysis of Crowd Behaviour for Automatic and Accurate Surveillance
Angrave's Crowd-Sourced System Programming Book used at UIUC
Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
Single Image Crowd Counting via MCNN (Unofficial Implementation)
Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)
[IROS20] Relational graph learning for crowd navigation
Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)
Abnormal Crowd Detection Implementation with Python
Crowd sourced training data for Rasa NLU models
mutil_column CNN for crowd counting
Mobile Crowd Sensing Framework
Parallel Processing for the Rest of Us