conda create --name evloc python=3.7
conda activate evloc
pip install -r requirements.txt -f https://download.pytorch.org/whl/torch_stable.html 
conda install cudatoolkit=10.2

event_localization/data
└── ev_rooms (EvRooms Dataset)
│   ├── boxes (Name of dataset in EvRooms)
│   │   ├── events.dat (Raw events)
│   │   └── images (Image reconstruction from events - provided for illustration)
│   │       └── *.png
│   │   ├── images.txt (Timestamp of each image reconstruction)
│   │   └── raw_images (Raw images from DAVIS camera)
│   │       └── *.png
│   │   ├── raw_images.txt (Timestamp of each image)
│   │   ├── scale.txt (Scale of each 3D reconstruction to match metric scale)
│   │   └── sparse/ (Folder containing COLMAP reconstructions)
│   ├── cabinet (Another name of dataset in EvRooms)
│   │   ⋮
└── ev_humans (EvHumans Dataset)
    ├── boxes_human (Name of dataset in EvHumans)
    │   ├── events.dat (Raw events)
    │   └── images (Image reconstruction from events - provided for illustration)
    │       └── *.png
    │   ├── images.txt (Timestamp of each image reconstruction)
    │   └── raw_images (Raw images from DAVIS camera)
    │       └── *.png
    │   ├── raw_images.txt (Timestamp of each image)
    ├── cabinet_human (Another name of dataset in EvHumans)
    │   ⋮

./run_ev_rooms_loc.sh

python process_ev_to_img.py --config configs/ev_humans.ini --event_path ./data/ev_humans/cabinet_human/events.dat --data_root ./log/filter_results/ --joint_filter