config.yml

INTERACTIVE_MODELS_PATH: "./weights"
EXPS_PATH: "./experiments"

# Evaluation datasets
GRABCUT_PATH: "./isegm_datasets/GrabCut"
BERKELEY_PATH: "./isegm_datasets/Berkeley"
DAVIS_PATH: "./isegm_datasets/DAVIS"
COCO_MVAL_PATH: "./isegm_datasets/COCO_MVal"

# Train datasets
SBD_PATH: "./isegm_datasets/SBD/dataset"
COCO_PATH: "./isegm_datasets/MSCOCO"
LVIS_v1_PATH: "./isegm_datasets/LVIS"
OPENIMAGES_PATH: "./isegm_datasets/OpenImages"
PASCALVOC_PATH: "./isegm_datasets/VOC2012"
ADE20K_PATH: "./isegm_datasets/ADE20K"

# You can download the weights for HRNet from the repository:
# https://github.com/HRNet/HRNet-Image-Classification
IMAGENET_PRETRAINED_MODELS:
  MAE_BASE: "./pretrained_models/mae_pretrain_vit_base.pth"
  MAE_LARGE: "./pretrained_models/mae_pretrain_vit_large.pth"
  MAE_HUGE: "./pretrained_models/mae_pretrain_vit_huge.pth"
  SBD_VIT_BASE: "./weights/sbd_vit_base.pth"
  SBD_VIT_LARGE: "./weights/sbd_vit_large.pth"
  SBD_VIT_HUGE: "./weights/sbd_vit_huge.pth"
  CL_VIT_BASE: "./weights/cocolvis_vit_base.pth"
  CL_VIT_LARGE: "./weights/cocolvis_vit_large.pth"
  CL_VIT_HUGE: "./weights/cocolvis_vit_huge.pth"