Domain Adpatation For Electromagnetic Imaging.

This repository contains the support code for building complex domain adaptation network for electromagentic imaging proposed by:

Ahmed Al-Saffar, Alina Bialkowski, Member, IEEE, Mahsa Baktashmotlagh, Adnan Trakic, Member, IEEE,
Lei Guo, Member, IEEE, Amin Abbosh, Senior Member, IEEE

Installation

Requirements

The model proposed is implemented in Pytorch as uses serveral other libraries.

• alexlib
• torch==1.6
• numpy==1.16
• matplotlib==1.5.1
• scipy==1.2.1

Setup

To install the package, simply clone the repository:

git clone https://github.com/thisismygitrepo/emi_da;
cd emi_da;

Running the Model

The repository is structured as follows:

• lib.py has the helper functions for building the model.
• toolbox.py has a large accessory functions for various purposes.
• DA-Complex.py has the model designed and the training procedure along with scheduling.
  • It also gives an example of how the final saved model can be imported from ResultModels and infer with it.

DATA

Data and Final saved models can be found seprarately outside this repository here

• Those folders must be downloaded and added to the repository.
• data folder contains the clean and processed data from source domain and target domain. One can experiment with DA seprately with this data.
  • All details of hardware used to collect target data are abstracted away.
  • All details of simulations used to collect source data are abstracted away.
• ResultModels folder contain saved models of DANN.

Feedback

Send feedback to Alex Al-Saffar.