GitHub / WoXy-Sensei / crowd-counting-shangai
This repository contains a crowd counting model using the CSRNet architecture to estimate the number of people in crowded scenes. The model is trained on the Shanghaitech dataset and aims to provide accurate crowd density maps and count predictions. Data augmentation techniques are employed to enhance the model's performance.
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PURL: pkg:github/WoXy-Sensei/crowd-counting-shangai
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 3.91 KB
Dependencies parsed at: Pending
Created at: 11 months ago
Updated at: 11 months ago
Pushed at: 11 months ago
Last synced at: 4 days ago
Topics: ai, counting, crowd, deep-learning, people-counting, shangai, tensorflow