AI-City-Anomaly-Detection:Team12 for NVIDIA AICity Challenge 2019 track 3的源代码和代码描述-Source City
:trophy: 新闻：我们的团队在AI CITY 2019 Challenge Track3上获得了冠军
基于时空信息矩阵的透视图交通异常检测
该存储库包含我们在CVPR 2019研讨会上的NVIDIA AI City Challenge中Track-3的源代码。
介绍
NVIDIA AICity挑战赛2019 Track3
NVIDIA AI CITY 2019的挑战赛第3条要求参赛团队根据交叉路口和高速公路上多个摄像机提供的视频提要提交检测到的异常情况。
NVIDIA AICity Challenge 2019的详细信息可在找到。 我们的异常检测框架的体系结构概述，由背景建模模块，透视图检测模块和时空矩阵识别模块组成。
要求
Linux（在CentOS 7.2上测试）
Python 3.6
PyTorch 0.4.1
Opencv的
斯克莱恩
安装
按照安装PyTorch 0.4.1和t
文件下载
资源详情
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