Search is not available for this dataset
repo stringlengths 2 152 ⌀ | file stringlengths 15 239 | code stringlengths 0 58.4M | file_length int64 0 58.4M | avg_line_length float64 0 1.81M | max_line_length int64 0 12.7M | extension_type stringclasses 364
values |
|---|---|---|---|---|---|---|
null | OpenOOD-main/scripts/ood/logitnorm/cifar100_test_logitnorm.sh | #!/bin/bash
# sh scripts/ood/logitnorm/cifar100_test_logitnorm.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
python scripts/eval_ood.... | 486 | 31.466667 | 84 | sh |
null | OpenOOD-main/scripts/ood/logitnorm/cifar100_train_logitnorm.sh | #!/bin/bash
# sh scripts/ood/logitnorm/cifar100_train_logitnorm.sh
python main.py \
--config configs/datasets/cifar100/cifar100.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines/train/train_logitnorm.yml \
configs/preprocessors/base_preprocessor.yml \
--seed 0
| 294 | 28.5 | 54 | sh |
null | OpenOOD-main/scripts/ood/logitnorm/cifar10_test_logitnorm.sh | #!/bin/bash
# sh scripts/ood/logitnorm/cifar10_test_logitnorm.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
python scripts/eval_ood.p... | 483 | 31.266667 | 83 | sh |
null | OpenOOD-main/scripts/ood/logitnorm/cifar10_train_logitnorm.sh | #!/bin/bash
# sh scripts/ood/logitnorm/cifar10_train_logitnorm.sh
python main.py \
--config configs/datasets/cifar10/cifar10.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines/train/train_logitnorm.yml \
configs/preprocessors/base_preprocessor.yml \
--seed 0
| 291 | 28.2 | 53 | sh |
null | OpenOOD-main/scripts/ood/logitnorm/imagenet200_test_logitnorm.sh | #!/bin/bash
# sh scripts/ood/logitnorm/imagenet200_test_logitnorm.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scripts... | 738 | 29.791667 | 88 | sh |
null | OpenOOD-main/scripts/ood/logitnorm/imagenet200_train_logitnorm.sh | #!/bin/bash
# sh scripts/ood/logitnorm/imagenet200_train_logitnorm.sh
python main.py \
--config configs/datasets/imagenet200/imagenet200.yml \
configs/networks/resnet18_224x224.yml \
configs/pipelines/train/train_logitnorm.yml \
configs/preprocessors/base_preprocessor.yml \
--optimizer.num_epochs 9... | 437 | 30.285714 | 59 | sh |
null | OpenOOD-main/scripts/ood/logitnorm/imagenet_test_logitnorm.sh | #!/bin/bash
# sh scripts/ood/logitnorm/imagenet_test_logitnorm.sh
############################################
# we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood_imagenet.py
# available architectures:
# resnet50
# ood
python scripts/eval_ood_imagenet.py \
--ckpt... | 723 | 27.96 | 96 | sh |
null | OpenOOD-main/scripts/ood/logitnorm/imagenet_train_logitnorm.sh | #!/bin/bash
# sh scripts/ood/logitnorm/imagenet_train_logitnorm.sh
python main.py \
--config configs/datasets/imagenet/imagenet.yml \
configs/networks/resnet50.yml \
configs/pipelines/train/train_logitnorm.yml \
configs/preprocessors/base_preprocessor.yml \
--network.pretrained True \
--network... | 562 | 32.117647 | 82 | sh |
null | OpenOOD-main/scripts/ood/mcd/cifar100_test_mcd.sh | #!/bin/bash
# sh scripts/ood/mcd/cifar100_test_mcd.sh
# NOTE!!!!
# need to manually change the checkpoint path
# remember to use the last_*.ckpt because mcd only trains for the last 10 epochs
# and the best.ckpt (according to accuracy) is typically not within the last 10 epochs
# therefore using best.ckpt is equivalen... | 877 | 40.809524 | 107 | sh |
null | OpenOOD-main/scripts/ood/mcd/cifar100_train_mcd.sh | #!/bin/bash
# sh scripts/ood/mcd/cifar100_train_mcd.sh
GPU=1
CPU=1
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/cifar100/cifar10... | 724 | 28 | 53 | sh |
null | OpenOOD-main/scripts/ood/mcd/cifar10_test_mcd.sh | #!/bin/bash
# sh scripts/ood/mcd/cifar10_test_mcd.sh
# NOTE!!!!
# need to manually change the checkpoint path
# remember to use the last_*.ckpt because mcd only trains for the last 10 epochs
# and the best.ckpt (according to accuracy) is typically not within the last 10 epochs
# therefore using best.ckpt is equivalent... | 871 | 40.52381 | 106 | sh |
null | OpenOOD-main/scripts/ood/mcd/cifar10_train_mcd.sh | #!/bin/bash
# sh scripts/ood/mcd/cifar10_train_mcd.sh
GPU=1
CPU=1
node=73
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
-w SG-IDC1-10-51-2-${node} \
python main.py \
--conf... | 762 | 27.259259 | 51 | sh |
null | OpenOOD-main/scripts/ood/mcd/imagenet200_test_mcd.sh | #!/bin/bash
# sh scripts/ood/mcd/imagenet200_test_mcd.sh
# NOTE!!!!
# need to manually change the checkpoint path
# remember to use the last_*.ckpt because mcd only trains for the last 10 epochs
# and the best.ckpt (according to accuracy) is typically not within the last 10 epochs
# therefore using best.ckpt is equiva... | 972 | 41.304348 | 108 | sh |
null | OpenOOD-main/scripts/ood/mcd/imagenet200_train_mcd.sh | #!/bin/bash
# sh scripts/ood/mcd/imagenet200_train_mcd.sh
python main.py \
--config configs/datasets/imagenet200/imagenet200.yml \
configs/datasets/imagenet200/imagenet200_oe.yml \
configs/networks/mcd_net.yml \
configs/preprocessors/base_preprocessor.yml \
configs/pipelines/train/baseline.yml \
... | 621 | 31.736842 | 59 | sh |
null | OpenOOD-main/scripts/ood/mds/cifar100_test_ood_mds.sh | #!/bin/bash
# sh scripts/ood/mds/cifar100_test_ood_mds.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python mai... | 1,106 | 31.558824 | 95 | sh |
null | OpenOOD-main/scripts/ood/mds/cifar10_test_ood_mds.sh | #!/bin/bash
# sh scripts/ood/mds/cifar10_test_ood_mds.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main... | 1,190 | 31.189189 | 96 | sh |
null | OpenOOD-main/scripts/ood/mds/imagenet200_test_ood_mds.sh | #!/bin/bash
# sh scripts/ood/mds/imagenet200_test_ood_mds.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scripts/eval_oo... | 708 | 28.541667 | 74 | sh |
null | OpenOOD-main/scripts/ood/mds/imagenet_test_ood_mds.sh | #!/bin/bash
# sh scripts/ood/mds/imagenet_test_ood_mds.sh
GPU=1
CPU=1
node=63
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--co... | 1,386 | 27.895833 | 82 | sh |
null | OpenOOD-main/scripts/ood/mds_ensemble/cifar100_test_ood_mds_ensemble.sh | #!/bin/bash
# sh scripts/ood/mds_ensemble/cifar100_test_ood_mds_ensemble.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${n... | 1,175 | 31.666667 | 97 | sh |
null | OpenOOD-main/scripts/ood/mds_ensemble/cifar10_test_ood_mds_ensemble.sh | #!/bin/bash
# sh scripts/ood/mds_ensemble/cifar10_test_ood_mds_ensemble.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${no... | 1,167 | 31.444444 | 96 | sh |
null | OpenOOD-main/scripts/ood/mds_ensemble/imagenet200_test_ood_mds_ensemble.sh | #!/bin/bash
# sh scripts/ood/mds_ensemble/imagenet200_test_ood_mds_ensemble.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
pyth... | 744 | 30.041667 | 74 | sh |
null | OpenOOD-main/scripts/ood/mds_ensemble/imagenet_test_ood_mds.sh | #!/bin/bash
# sh scripts/ood/mds_ensemble/imagenet_test_ood_mds_ensemble.sh
GPU=1
CPU=1
node=39
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python ... | 1,405 | 28.291667 | 82 | sh |
null | OpenOOD-main/scripts/ood/mds_ensemble/mnist_test_ood_mds_ensemble.sh | #!/bin/bash
# sh scripts/ood/mds_ensemble/mnist_test_ood_mds_ensemble.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node... | 714 | 28.791667 | 74 | sh |
null | OpenOOD-main/scripts/ood/mds_ensemble/mnist_test_osr_mds_ensemble.sh | #!/bin/bash
# sh scripts/ood/mds_ensemble/mnist_test_osr_mds_ensemble.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node... | 734 | 29.625 | 73 | sh |
null | OpenOOD-main/scripts/ood/mds_ensemble/sweep_osr.py | # python scripts/ood/mds/sweep_osr.py
import os
config = [
[
'osr_cifar6/cifar6_seed1.yml', 'osr_cifar6/cifar6_seed1_ood.yml',
'resnet18_32x32', 'results/checkpoints/osr/cifar6_seed1.ckpt'
],
[
'osr_cifar50/cifar50_seed1.yml', 'osr_cifar50/cifar50_seed1_ood.yml',
'resnet18_3... | 1,322 | 32.075 | 77 | py |
null | OpenOOD-main/scripts/ood/mixoe/cifar100_test_mixoe.sh | #!/bin/bash
# sh scripts/ood/mixoe/cifar100_test_mixoe.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
python scripts/eval_ood.py \
... | 499 | 32.333333 | 105 | sh |
null | OpenOOD-main/scripts/ood/mixoe/cifar100_train_mixoe.sh | #!/bin/bash
# sh scripts/ood/mixoe/cifar100_train_mixoe.sh
SEED=0
python main.py \
--config configs/datasets/cifar100/cifar100.yml \
configs/datasets/cifar100/cifar100_oe.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines/train/baseline.yml \
configs/pipelines/train/train_mixoe.yml \
... | 652 | 33.368421 | 103 | sh |
null | OpenOOD-main/scripts/ood/mixoe/cifar10_test_mixoe.sh | #!/bin/bash
# sh scripts/ood/mixoe/cifar10_test_mixoe.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
python scripts/eval_ood.py \
-... | 496 | 32.133333 | 104 | sh |
null | OpenOOD-main/scripts/ood/mixoe/cifar10_train_mixoe.sh | #!/bin/bash
# sh scripts/ood/mixoe/cifar10_train_mixoe.sh
SEED=0
python main.py \
--config configs/datasets/cifar10/cifar10.yml \
configs/datasets/cifar10/cifar10_oe.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines/train/baseline.yml \
configs/pipelines/train/train_mixoe.yml \
conf... | 646 | 33.052632 | 102 | sh |
null | OpenOOD-main/scripts/ood/mixoe/imagenet200_test_mixoe.sh | #!/bin/bash
# sh scripts/ood/mixoe/imagenet200_test_mixoe.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scripts/eval_oo... | 774 | 31.291667 | 110 | sh |
null | OpenOOD-main/scripts/ood/mixoe/imagnet200_train_mixoe.sh | #!/bin/bash
# sh scripts/ood/mixoe/imagenet200_train_mixoe.sh
SEED=0
python main.py \
--config configs/datasets/imagenet200/imagenet200.yml \
configs/datasets/imagenet200/imagenet200_oe.yml \
configs/networks/resnet18_224x224.yml \
configs/pipelines/train/baseline.yml \
configs/pipelines/train/trai... | 702 | 34.15 | 107 | sh |
null | OpenOOD-main/scripts/ood/mls/cifar100_test_ood_maxlogit.sh | #!/bin/bash
# sh scripts/ood/mls/cifar100_test_ood_maxlogit.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p mediasuper -x SZ-IDC1-10-112-2-17 --gres=gpu:${GPU} \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
... | 1,131 | 30.444444 | 97 | sh |
null | OpenOOD-main/scripts/ood/mls/cifar10_test_ood_maxlogit.sh | #!/bin/bash
# sh scripts/ood/mls/cifar10_test_ood_maxlogit.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p mediasuper -x SZ-IDC1-10-112-2-17 --gres=gpu:${GPU} \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
... | 1,123 | 30.222222 | 96 | sh |
null | OpenOOD-main/scripts/ood/mls/imagenet200_test_ood_maxlogit.sh | #!/bin/bash
# sh scripts/ood/mls/imagenet200_test_ood_maxlogit.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scripts/ev... | 713 | 28.75 | 74 | sh |
null | OpenOOD-main/scripts/ood/mls/imagenet_test_ood_maxlogit.sh | #!/bin/bash
# sh scripts/ood/mls/imagenet_test_ood_maxlogit.sh
GPU=1
CPU=1
node=39
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
... | 1,383 | 27.833333 | 82 | sh |
null | OpenOOD-main/scripts/ood/mls/mnist_test_ood_maxlogit.sh | #!/bin/bash
# sh scripts/ood/mls/mnist_test_ood_maxlogit.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p mediasuper -x SZ-IDC1-10-112-2-17 --gres=gpu:${GPU} \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--co... | 643 | 25.833333 | 70 | sh |
null | OpenOOD-main/scripts/ood/mls/mnist_test_osr_maxlogit.sh | #!/bin/bash
# sh scripts/ood/mls/mnist_test_osr_maxlogit.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p mediasuper -x SZ-IDC1-10-112-2-17 --gres=gpu:${GPU} \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--co... | 663 | 26.666667 | 66 | sh |
null | OpenOOD-main/scripts/ood/mls/sweep_osr.py | # python scripts/ood/mls/sweep_osr.py
import os
config = [
[
'osr_cifar6/cifar6_seed1.yml', 'osr_cifar6/cifar6_seed1_ood.yml',
'resnet18_32x32', 'results/checkpoints/osr/cifar6_seed1.ckpt'
],
[
'osr_cifar50/cifar50_seed1.yml', 'osr_cifar50/cifar50_seed1_ood.yml',
'resnet18_3... | 1,322 | 32.075 | 77 | py |
null | OpenOOD-main/scripts/ood/mos/cifar100_test_mos.sh | #!/bin/bash
# sh scripts/ood/mos/cifar100_test_mos.sh
GPU=1
CPU=1
node=73
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
SEED=0
python main.py \
--config configs/datasets/cifar100/cifar100_double_label.yml \
configs/datasets/cifar100/cifar100_ood.yml \
configs/networks/resnet18_32x32.yml \
configs/pipe... | 613 | 25.695652 | 106 | sh |
null | OpenOOD-main/scripts/ood/mos/cifar100_train_mos.sh | #!/bin/bash
# sh scripts/ood/mos/cifar100_train_mos.sh
# GPU=1
# CPU=0
# node=73
# jobname=openood
# PYTHONPATH='.':$PYTHONPATH \
SEED=0
python main.py \
--config configs/datasets/cifar100/cifar100_double_label.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines/train/train_mos.yml \
conf... | 576 | 23.041667 | 103 | sh |
null | OpenOOD-main/scripts/ood/mos/cifar10_test_mos.sh | #!/bin/bash
# sh scripts/ood/mos/cifar10_test_mos.sh
GPU=1
CPU=1
node=73
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
SEED=0
python main.py \
--config configs/datasets/cifar10/cifar10_double_label.yml \
configs/datasets/cifar10/cifar10_ood.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines... | 607 | 25.434783 | 105 | sh |
null | OpenOOD-main/scripts/ood/mos/cifar10_train_mos.sh | #!/bin/bash
# sh scripts/ood/mos/cifar10_train_mos.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
SEED=0
python main.py \
--config configs/datasets/cifar10/cifar10_double_label.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines/train/train_mos.yml \
configs/pre... | 568 | 24.863636 | 102 | sh |
null | OpenOOD-main/scripts/ood/mos/imagenet200_test_mos.sh | #!/bin/bash
# sh scripts/ood/mos/imagenet200_test_mos.sh
SEED=0
# ood
python main.py \
--config configs/datasets/imagenet200/imagenet200_double_label.yml \
configs/datasets/imagenet200/imagenet200_ood.yml \
configs/networks/resnet18_224x224.yml \
configs/pipelines/test/test_mos.yml \
configs/postp... | 1,149 | 34.9375 | 111 | sh |
null | OpenOOD-main/scripts/ood/mos/imagenet200_train_mos.sh | #!/bin/bash
# sh scripts/ood/mos/imagenet200_train_mos.sh
SEED=0
python main.py \
--config configs/datasets/imagenet200/imagenet200_double_label.yml \
configs/networks/resnet18_224x224.yml \
configs/pipelines/train/train_mos.yml \
configs/preprocessors/base_preprocessor.yml \
--network.pretrained T... | 585 | 33.470588 | 107 | sh |
null | OpenOOD-main/scripts/ood/mos/imagenet_test_mos.sh | #!/bin/bash
# sh scripts/ood/mos/imagenet_test_mos.sh
SEED=0
# ood
python main.py \
--config configs/datasets/imagenet/imagenet_double_label.yml \
configs/datasets/imagenet/imagenet_ood.yml \
configs/networks/resnet50.yml \
configs/pipelines/test/test_mos.yml \
configs/postprocessors/mos.yml \
... | 1,058 | 32.09375 | 93 | sh |
null | OpenOOD-main/scripts/ood/mos/imagenet_train_mos.sh | #!/bin/bash
# sh scripts/ood/mos/imagenet_train_mos.sh
python main.py \
--config configs/datasets/imagenet/imagenet_double_label.yml \
configs/networks/resnet50.yml \
configs/pipelines/train/train_mos.yml \
configs/preprocessors/base_preprocessor.yml \
--network.pretrained True \
--network.chec... | 529 | 32.125 | 82 | sh |
null | OpenOOD-main/scripts/ood/msp/cifar100_test_ood_msp.sh | #!/bin/bash
# sh scripts/ood/msp/cifar100_test_ood_msp.sh
# GPU=1
# CPU=1
# node=36
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py... | 1,135 | 31.457143 | 97 | sh |
null | OpenOOD-main/scripts/ood/msp/cifar10_test_ood_msp.sh | #!/bin/bash
# sh scripts/ood/msp/cifar10_test_ood_msp.sh
# GPU=1
# CPU=1
# node=36
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py ... | 1,156 | 31.138889 | 98 | sh |
null | OpenOOD-main/scripts/ood/msp/imagenet200_test_ood_msp.sh | #!/bin/bash
# sh scripts/ood/msp/imagenet200_test_ood_msp.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scripts/eval_oo... | 708 | 28.541667 | 74 | sh |
null | OpenOOD-main/scripts/ood/msp/imagenet_test_ood_msp.sh | #!/bin/bash
# sh scripts/ood/msp/imagenet_test_ood_msp.sh
GPU=1
CPU=1
node=73
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
-... | 1,383 | 27.244898 | 82 | sh |
null | OpenOOD-main/scripts/ood/msp/mnist_test_fsood_msp.sh | #!/bin/bash
# sh scripts/ood/msp/mnist_test_fsood_msp.sh
GPU=1
CPU=1
node=73
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--... | 649 | 26.083333 | 73 | sh |
null | OpenOOD-main/scripts/ood/msp/mnist_test_ood_msp.sh | #!/bin/bash
# sh scripts/ood/msp/mnist_test_ood_msp.sh
GPU=1
CPU=1
node=73
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--co... | 643 | 25.833333 | 73 | sh |
null | OpenOOD-main/scripts/ood/msp/osr_cifar6_test_msp.sh | #!/bin/bash
# sh scripts/ood/msp/osr_cifar6_test_msp.sh
GPU=1
CPU=1
node=73
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config c... | 620 | 28.571429 | 71 | sh |
null | OpenOOD-main/scripts/ood/msp/osr_mnist6_test_msp.sh | #!/bin/bash
# sh scripts/ood/msp/mnist_test_osr_msp.sh
GPU=1
CPU=1
node=73
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config co... | 656 | 27.565217 | 71 | sh |
null | OpenOOD-main/scripts/ood/msp/sweep_osr.py | # python scripts/ood/msp/sweep_osr.py
import os
config = [
[
'osr_cifar6/cifar6_seed1.yml', 'osr_cifar6/cifar6_seed1_ood.yml',
'resnet18_32x32', 'results/checkpoints/osr/cifar6_seed1.ckpt'
],
[
'osr_cifar50/cifar50_seed1.yml', 'osr_cifar50/cifar50_seed1_ood.yml',
'resnet18_3... | 1,322 | 32.075 | 77 | py |
null | OpenOOD-main/scripts/ood/npos/cifar100_test_npos.sh | #!/bin/bash
# sh scripts/ood/npos/cifar100_test_npos.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
python scripts/eval_ood.py \
--... | 456 | 29.466667 | 63 | sh |
null | OpenOOD-main/scripts/ood/npos/cifar100_train_npos.sh | #!/bin/bash
# sh scripts/ood/npos/cifar100_train_npos.sh
python main.py \
--config configs/datasets/cifar100/cifar100.yml \
configs/networks/npos_net.yml \
configs/pipelines/train/train_npos.yml \
configs/preprocessors/base_preprocessor.yml \
--preprocessor.name cider \
--network.backbone.name ... | 699 | 32.333333 | 53 | sh |
null | OpenOOD-main/scripts/ood/npos/cifar10_test_npos.sh | #!/bin/bash
# sh scripts/ood/npos/cifar10_test_npos.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
python scripts/eval_ood.py \
--i... | 453 | 29.266667 | 62 | sh |
null | OpenOOD-main/scripts/ood/npos/cifar10_train_npos.sh | #!/bin/bash
# sh scripts/ood/npos/cifar10_train_npos.sh
python main.py \
--config configs/datasets/cifar10/cifar10.yml \
configs/networks/npos_net.yml \
configs/pipelines/train/train_npos.yml \
configs/preprocessors/base_preprocessor.yml \
--preprocessor.name cider \
--network.backbone.name res... | 696 | 32.190476 | 51 | sh |
null | OpenOOD-main/scripts/ood/npos/imagenet200_test_npos.sh | #!/bin/bash
# sh scripts/ood/npos/imagenet200_test_npos.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scripts/eval_ood.... | 684 | 27.541667 | 65 | sh |
null | OpenOOD-main/scripts/ood/npos/imagenet200_train_npos.sh | #!/bin/bash
# sh scripts/ood/npos/imagenet200_train_npos.sh
# NPOS trainer cannot work with multiple GPUs (DDP) currently
python main.py \
--config configs/datasets/imagenet200/imagenet200.yml \
configs/networks/npos_net.yml \
configs/pipelines/train/train_npos.yml \
configs/preprocessors/base_preproce... | 835 | 33.833333 | 61 | sh |
null | OpenOOD-main/scripts/ood/npos/imagenet_train_npos.sh | #!/bin/bash
# sh scripts/ood/npos/imagenet_train_npos.sh
# NPOS trainer cannot work with multiple GPUs (DDP) currently
# we observed CUDA OOM error on Quadro RTX 6000 24GB GPU
python main.py \
--config configs/datasets/imagenet/imagenet.yml \
configs/networks/npos_net.yml \
configs/pipelines/train/train_np... | 1,009 | 36.407407 | 91 | sh |
null | OpenOOD-main/scripts/ood/odin/cifar100_test_ood_odin.sh | #!/bin/bash
# sh scripts/ood/odin/cifar100_test_ood_odin.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python m... | 1,143 | 30.777778 | 97 | sh |
null | OpenOOD-main/scripts/ood/odin/cifar10_test_ood_odin.sh | #!/bin/bash
# sh scripts/ood/odin/cifar10_test_ood_odin.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python ma... | 1,135 | 30.555556 | 96 | sh |
null | OpenOOD-main/scripts/ood/odin/imagenet200_test_ood_odin.sh | #!/bin/bash
# sh scripts/ood/odin/imagenet200_test_ood_odin.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scripts/eval_... | 712 | 28.708333 | 74 | sh |
null | OpenOOD-main/scripts/ood/odin/imagenet_test_ood_odin.sh | #!/bin/bash
# sh scripts/ood/odin/imagenet_test_ood_odin.sh
GPU=1
CPU=1
node=39
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--... | 1,383 | 27.833333 | 82 | sh |
null | OpenOOD-main/scripts/ood/odin/mnist_test_ood_odin.sh | #!/bin/bash
# sh scripts/ood/odin/mnist_test_ood_odin.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main... | 654 | 26.291667 | 73 | sh |
null | OpenOOD-main/scripts/ood/odin/mnist_test_ood_odin_aps.sh | #!/bin/bash
# sh scripts/ood/odin/mnist_test_ood_odin_aps.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python ... | 658 | 26.458333 | 73 | sh |
null | OpenOOD-main/scripts/ood/odin/mnist_test_osr_odin.sh | #!/bin/bash
# sh scripts/ood/odin/mnist_test_osr_odin.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main... | 674 | 27.125 | 73 | sh |
null | OpenOOD-main/scripts/ood/odin/sweep_osr.py | # python scripts/ood/odin/sweep_osr.py
import os
config = [
# ['osr_cifar6/cifar6_seed1.yml', 'osr_cifar6/cifar6_seed1_ood.yml', 'resnet18_32x32', 'results/checkpoints/osr/cifar6_seed1.ckpt'],
# ['osr_cifar50/cifar50_seed1.yml', 'osr_cifar50/cifar50_seed1_ood.yml', 'resnet18_32x32', 'results/checkpoints/osr/ci... | 1,264 | 39.806452 | 141 | py |
null | OpenOOD-main/scripts/ood/oe/cifar100_test_oe.sh | #!/bin/bash
# sh scripts/ood/oe/cifar100_test_oe.sh
GPU=1
CPU=1
node=63
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config c... | 1,134 | 31.428571 | 105 | sh |
null | OpenOOD-main/scripts/ood/oe/cifar100_train_oe.sh | #!/bin/bash
# sh scripts/ood/oe/cifar100_train_oe.sh
GPU=1
CPU=1
node=73
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
-w SG-IDC1-10-51-2-${node} \
python main.py \
--confi... | 602 | 26.409091 | 53 | sh |
null | OpenOOD-main/scripts/ood/oe/cifar10_test_oe.sh | #!/bin/bash
# sh scripts/ood/oe/cifar10_test_oe.sh
GPU=1
CPU=1
node=63
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config co... | 1,126 | 31.2 | 104 | sh |
null | OpenOOD-main/scripts/ood/oe/cifar10_train_oe.sh | #!/bin/bash
# sh scripts/ood/oe/cifar10_train_oe.sh
GPU=1
CPU=1
node=73
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
-w SG-IDC1-10-51-2-${node} \
python main.py \
--config... | 597 | 26.181818 | 51 | sh |
null | OpenOOD-main/scripts/ood/oe/imagenet200_test_oe.sh | #!/bin/bash
# sh scripts/ood/oe/imagenet200_test_oe.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scripts/eval_ood.py \... | 710 | 28.625 | 81 | sh |
null | OpenOOD-main/scripts/ood/oe/imagnet200_train_oe.sh | #!/bin/bash
# sh scripts/ood/oe/imagenet200_train_oe.sh
python main.py \
--config configs/datasets/imagenet200/imagenet200.yml \
configs/datasets/imagenet200/imagenet200_oe.yml \
configs/networks/resnet18_224x224.yml \
configs/pipelines/train/baseline.yml \
configs/pipelines/train/train_oe.yml \
... | 513 | 31.125 | 59 | sh |
null | OpenOOD-main/scripts/ood/rankfeat/cifar100_test_ood_rankfeat.sh | #!/bin/bash
# sh scripts/ood/rankfeat/cifar100_test_ood_rankfeat.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
... | 1,126 | 32.147059 | 95 | sh |
null | OpenOOD-main/scripts/ood/rankfeat/cifar10_test_ood_rankfeat.sh | #!/bin/bash
# sh scripts/ood/rankfeat/cifar10_test_ood_rankfeat.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
p... | 1,155 | 31.111111 | 96 | sh |
null | OpenOOD-main/scripts/ood/rankfeat/imagenet200_test_ood_rankfeat.sh | #!/bin/bash
# sh scripts/ood/rankfeat/imagenet200_test_ood_rankfeat.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scrip... | 728 | 29.375 | 74 | sh |
null | OpenOOD-main/scripts/ood/rankfeat/imagenet_test_ood_rankfeat.sh | #!/bin/bash
# sh scripts/ood/rankfeat/imagenet_test_ood_rankfeat.sh
GPU=1
CPU=1
node=63
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py ... | 1,411 | 28.416667 | 82 | sh |
null | OpenOOD-main/scripts/ood/react/cifar100_test_ood_react.sh | #!/bin/bash
# sh scripts/ood/react/cifar100_test_ood_react.sh
# GPU=1
# CPU=1
# node=36
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python mai... | 1,266 | 32.342105 | 106 | sh |
null | OpenOOD-main/scripts/ood/react/cifar10_test_ood_react.sh | #!/bin/bash
# sh scripts/ood/react/cifar10_test_ood_react.sh
# GPU=1
# CPU=1
# node=36
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main... | 1,264 | 32.289474 | 105 | sh |
null | OpenOOD-main/scripts/ood/react/imagenet200_test_ood_react.sh | #!/bin/bash
# sh scripts/ood/react/imagenet200_test_ood_react.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scripts/eva... | 716 | 28.875 | 74 | sh |
null | OpenOOD-main/scripts/ood/react/imagenet_test_ood_react.sh | #!/bin/bash
# sh scripts/ood/react/imagenet_test_ood_react.sh
GPU=1
CPU=1
node=63
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
... | 1,399 | 28.166667 | 91 | sh |
null | OpenOOD-main/scripts/ood/react/mnist_test_ood_react.sh | #!/bin/bash
# sh scripts/ood/react/mnist_test_ood_react.sh
# GPU=1
# CPU=1
# node=36
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.p... | 764 | 28.423077 | 79 | sh |
null | OpenOOD-main/scripts/ood/react/mnist_test_osr_react.sh | #!/bin/bash
# sh scripts/ood/react/mnist_test_osr_react.sh
# GPU=1
# CPU=1
# node=36
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.p... | 784 | 29.192308 | 75 | sh |
null | OpenOOD-main/scripts/ood/react/sweep_osr.py | # python scripts/ood/react/sweep_osr.py
import os
config = [
[
'osr_cifar6/cifar6_seed1.yml', 'osr_cifar6/cifar6_seed1_ood.yml',
'resnet18_32x32', 'results/checkpoints/osr/cifar6_seed1.ckpt'
],
[
'osr_cifar50/cifar50_seed1.yml', 'osr_cifar50/cifar50_seed1_ood.yml',
'resnet18... | 1,376 | 32.585366 | 77 | py |
null | OpenOOD-main/scripts/ood/residual/cifar100_test_ood_residual.sh | #!/bin/bash
# sh scripts/ood/residual/cifar100_test_ood_residual.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p mediasuper -x SZ-IDC1-10-112-2-17 --gres=gpu:${GPU} \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} \
python main.p... | 689 | 27.75 | 82 | sh |
null | OpenOOD-main/scripts/ood/residual/cifar10_test_ood_residual.sh | #!/bin/bash
# sh scripts/ood/residual/cifar10_test_ood_residual.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p mediasuper -x SZ-IDC1-10-112-2-17 --gres=gpu:${GPU} \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} \
python main.py... | 674 | 27.125 | 72 | sh |
null | OpenOOD-main/scripts/ood/residual/imagenet_test_ood_residual.sh | #!/bin/bash
# sh scripts/ood/residual/imagenet_test_ood_residual.sh
GPU=1
CPU=1
node=73
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p mediasuper -x SZ-IDC1-10-112-2-17 --gres=gpu:${GPU} \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config co... | 644 | 28.318182 | 109 | sh |
null | OpenOOD-main/scripts/ood/rmds/cifar100_test_ood_rmds.sh | #!/bin/bash
# sh scripts/ood/rmds/cifar100_test_ood_rmds.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python m... | 1,110 | 31.676471 | 95 | sh |
null | OpenOOD-main/scripts/ood/rmds/cifar10_test_ood_rmds.sh | #!/bin/bash
# sh scripts/ood/rmds/cifar10_test_ood_rmds.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python ma... | 1,139 | 30.666667 | 96 | sh |
null | OpenOOD-main/scripts/ood/rmds/imagenet200_test_ood_rmds.sh | #!/bin/bash
# sh scripts/ood/rmds/imagenet200_test_ood_rmds.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scripts/eval_... | 712 | 28.708333 | 74 | sh |
null | OpenOOD-main/scripts/ood/rmds/imagenet_test_ood_rmds.sh | #!/bin/bash
# sh scripts/ood/rmds/imagenet_test_ood_rmds.sh
GPU=1
CPU=1
node=63
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--... | 1,391 | 28 | 82 | sh |
null | OpenOOD-main/scripts/ood/rotpred/cifar100_test_rotpred.sh | #!/bin/bash
# sh scripts/ood/rotpred/cifar100_test_rotpred.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
python scripts/eval_ood.py \... | 467 | 30.2 | 65 | sh |
null | OpenOOD-main/scripts/ood/rotpred/cifar100_train_rotpred.sh | #!/bin/bash
# sh scripts/ood/rotpred/cifar100_train_rotpred.sh
python main.py \
--config configs/datasets/cifar100/cifar100.yml \
configs/networks/rot_net.yml \
configs/pipelines/train/baseline.yml \
configs/preprocessors/base_preprocessor.yml \
--trainer.name rotpred \
--seed 0
| 305 | 26.818182 | 53 | sh |
null | OpenOOD-main/scripts/ood/rotpred/cifar10_test_rotpred.sh | #!/bin/bash
# sh scripts/ood/rotpred/cifar10_test_rotpred.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
python scripts/eval_ood.py \
... | 464 | 30 | 64 | sh |
null | OpenOOD-main/scripts/ood/rotpred/cifar10_train_rotpred.sh | #!/bin/bash
# sh scripts/ood/rotpred/cifar10_train_rotpred.sh
python main.py \
--config configs/datasets/cifar10/cifar10.yml \
configs/networks/rot_net.yml \
configs/pipelines/train/baseline.yml \
configs/preprocessors/base_preprocessor.yml \
--trainer.name rotpred \
--seed 0
| 302 | 26.545455 | 51 | sh |
null | OpenOOD-main/scripts/ood/rotpred/imagenet200_test_rotpred.sh | #!/bin/bash
# sh scripts/ood/rotpred/imagenet200_test_rotpred.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scripts/eva... | 700 | 28.208333 | 67 | sh |
null | OpenOOD-main/scripts/ood/rotpred/imagenet200_train_rotpred.sh | #!/bin/bash
# sh scripts/ood/rotpred/imagenet200_train_rotpred.sh
python main.py \
--config configs/datasets/imagenet200/imagenet200.yml \
configs/networks/rot_net.yml \
configs/pipelines/train/baseline.yml \
configs/preprocessors/base_preprocessor.yml \
--network.backbone.name resnet18_224x224 \
... | 493 | 29.875 | 59 | sh |