The repository contains the details of both the semesters of BTP Project (CP302 & CP303).
To check for all existing tmux sessions
- tmux ls
To create a new tmux session (index 1)
- tmux attach-session -t 1
To kill a tmux session with 1 index
- tmux kill-session -t 1
The folder ./Diffusion_Model contains all the files associated with the SR3 model used, along with all the code modifications made.
Install the requirements using:
-
pip install -r requirement.txt
-
cd Diffusion_Model To train the diffusion model, run the below command (hyper parameters are supplied by the config files present in ./Diffusion_Model/config)
-
python3 sr.py -p train -c config/sr_sr3_64_512.json
The folder ./W-Net contains all the files associated with the W-Net, W-Net Combined and W-Net 3-Layer (our change to the original W-Net architecture)
install keras
- pip install keras
You can find the jupyter notebooks associated with each model type in ./W-Net/JNotebooks
The report containing all the data and detailed information is attached as "MRI_enhancements_using_neural_networks.pdf"