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Wi-Fi感知大赛

赛道1:检测,定位——办公场景

Dataset

训练集:场景1:10月16日发布的训练数据。场景2:10月20日发布的训练数据。

验证集:同上,因此是封闭域训练。

Model

graph TD;
    Resnet1d --> Bi-LSTM;
    Bi-LSTM --> MLP1;
    Bi-LSTM --> MLP2;
    MLP1 --> BCE_Loss;
    MLP2 --> MSE_Loss;
    BCE_Loss -.-> A(predict 0/1);
    MSE_Loss -.-> B(predict number of person);
    A --> Output;
    B --> Output;
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Result

/predict/目录,每日更新。

Config

训练参数见/config/config.yaml。由于该任务模型相对简单、稳定,模型参数直接写死在代码里了,见/model/net.py

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Detection and Localization with Channel State Information of WiFi

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