OpenOOD/batch_file_deal3_train_method.sh

SEED=0
# train
# python main.py \
#     --config configs/datasets/bronze2/bronze2.yml \
#     configs/networks/opengan.yml \
#     configs/pipelines/train/train_opengan.yml \
#     configs/preprocessors/base_preprocessor.yml \
#     configs/postprocessors/opengan.yml \
#     --dataset.feat_root ./results/bronze2_OursBronze2_feat_extract_opengan_default/s${SEED} \
#     --network.backbone.pretrained True \
#     --network.backbone.checkpoint ./results/pretrained_weights/resnet50_imagenet1k_v1.pth \
#     --optimizer.num_epochs 90 \
#     --seed ${SEED} \
#     --proj_ROOT /home/zhourixin/OOD_Folder/CODE/other_methods/openOOD_code/OpenOOD

# test
SCHEME="ood" # "ood" or "fsood"
python main.py \
    --config configs/datasets/bronze2/bronze2.yml \
    configs/datasets/bronze2/bronze2_ood.yml \
    configs/networks/opengan.yml \
    configs/pipelines/test/test_opengan.yml \
    configs/preprocessors/base_preprocessor.yml \
    configs/postprocessors/opengan.yml \
    --num_workers 8 \
    --network.backbone.name OursBronze2 \
    --network.backbone.pretrained True \
    --network.backbone.checkpoint ./results/bronze2_ours_resnet50_415_NotLine_train/s0/model_state_dict_epoch90.pth \
    --evaluator.ood_scheme ${SCHEME} \
    --seed ${SEED} \
    --proj_ROOT /home/zhourixin/OOD_Folder/CODE/other_methods/openOOD_code/OpenOOD