RANomAly / test_ZSAD.sh
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device=0
LOG=${save_dir}"res.log"
echo ${LOG}
depth=(9)
n_ctx=(12)
t_n_ctx=(4)
for i in "${!depth[@]}";do
for j in "${!n_ctx[@]}";do
## train on the VisA dataset
base_dir=${depth[i]}_${n_ctx[j]}_${t_n_ctx[0]}_multiscale
save_dir=./checkpoints/${base_dir}/
CUDA_VISIBLE_DEVICES=${device} python test.py --dataset SDD \
--data_path ./ZSAD-dataset --save_path ./results/${base_dir}/zero_shot \
--checkpoint_path ${save_dir}epoch_15.pth \
--features_list 6 12 18 24 --image_size 518 --depth ${depth[i]} --n_ctx ${n_ctx[j]} --t_n_ctx ${t_n_ctx[0]}
wait
done
done