Generate a conda enviroment to run the model. conda create --name cma python=3.11 -c conda-forge conda activate cma pip install Jupyterlab matplotlib numpy pandas seaborn scikit-learn torch umap-learn ...
Builds autoencoder model using Pytorch module. The outputs of the encoder and decoder structures are compared to demonstrate the models ability to reconstructs the input image, as well as decoder's ...
Anomaly Detection,Autoencoder Training,Background Image,Convolutional Layers,Damage Detection,Detection Framework,Detection Module,Different Types Of Damage,F1 Score ...
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