.env

# This file is used for storing private and user specific environment variables, like keys or system paths.
# By default, .env will be excluded from version control so that it can stay private or user-specific
# The variables declared in .env are loaded in train.py automatically
# Hydra allows you to reference variables in .yaml configs with special syntax: ${oc.env:MY_VAR}

HYDRA_FULL_ERROR=1

# Path to the efficiennet pre-trained weight, leave empty if you want to auto-download
WEIGHTS_PATH="/gpfswork/rech/hwf/uyv67bd/bev_project/SemanticBEV/"

# Path to the directory where checkpoints and logs will be saved
SAVEDIR="/gpfsscratch/rech/hwf/uyv67bd/output_data/bev_project/motion"

# Path to the directory where checkpoints and logs will be saved when debugging
DEBUG_SAVEDIR="/gpfsscratch/rech/hwf/uyv67bd/output_data/bev_project/debug_motion"

# Path to the directory where data is located
DATADIR="/gpfsscratch/rech/hwf/uyv67bd/data/NuscenesLiDAR-seg"