memAE
This is an official implementation of paper "Unsupervised and Adaptive Perimeter Intrusion Detector", at ICIP 2022.
Requirements
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PyTorch == 1.4.0
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Python==3.7.6
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./requirement.sh
Prepare dataset
prepare_data.sh dataset datapath
dataset: i_LIDS
datapath: the path that you want to save the data, i.e., ./dataset/i_LIDS/Train the model
Run python Train.py with parameters like dataset, frame length, width, etc.Evaluate the model
python Testing.py
dataset: i_LIDS
datapath: the path that you saved the data
version: experiment version
ckpt: the checkpoint step
expdir: the path that you saved the model checkpointNote: The code will be cleaned and commented soon.