JustAGeek/dloc-code

DLoc minimal run (baseline + mamba)

This folder is an isolated, minimal run package for:

• DLoc baseline (Fig 10b, single GPU)
• Mamba-DLoc (single GPU)

It excludes all data and training outputs by default.

Required data (place in ./data)

• dataset_jacobs_July28.mat (fixed 7,635 samples)
• dataset_non_fov_train_jacobs_July28_2.mat
• dataset_fov_train_jacobs_July28_2.mat
• dataset_non_fov_test_jacobs_July28_2.mat
• dataset_fov_test_jacobs_July28_2.mat

Setup

This assumes PyTorch is already installed (e.g., vast.ai PyTorch image).

pip install -r requirements.txt

Run baseline (Fig 10b)

cp params_storage/params_fig10b_single_gpu.py params.py
python train_and_test.py

Run Mamba

cp params_storage/params_mamba_single_gpu.py params.py
python train_and_test.py

Notes

• Outputs go to ./runs//
• This folder is safe to upload to Git/HF (data and runs are ignored).