摘要
针对停车场空车位检测的复杂性问题,提出基于DETR模型的空车位检测方法。首先选取CNRPark-Ext数据集的不同场景图像对模型进行混合训练,然后将训练得到的模型在晴天、阴天、雨天以及昏暗场景中进行测试。结果表明,该模型在不同场景中能够有效检测空车位。
Aiming at the complex problem of empty parking space detection,this paper proposes an empty parking space detection method based on DETR model.Firstly,different scene images from CNRPark-Ext dataset are selected to carry out mixed training for the model,and then the trained model is tested in sunny,cloudy,rainy and dark scenes.The results show that the model can effectively detect empty parking spaces in different scenes.
出处
《工业控制计算机》
2021年第6期49-50,53,共3页
Industrial Control Computer
基金
贵州省教育厅重大创新群体项目(黔教合KY字[2018]018)。
关键词
DETR模型
车位检测
混合训练
多场景
DETR model
parking space detection
hybrid train
many scenarios