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/rotpred/imagenet_test_rotpred.sh | #!/bin/bash
# sh scripts/ood/rotpred/imagenet_test_rotpred.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-pat... | 701 | 27.08 | 83 | sh |
null | OpenOOD-main/scripts/ood/rotpred/imagenet_train_rotpred.sh | #!/bin/bash
# sh scripts/ood/rotpred/imagenet_train_rotpred.sh
# batch size is 64 otherwise will run out of GPU memory
python main.py \
--config configs/datasets/imagenet/imagenet.yml \
configs/networks/rot_net.yml \
configs/pipelines/train/baseline.yml \
configs/preprocessors/base_preprocessor.yml \
... | 691 | 33.6 | 91 | sh |
null | OpenOOD-main/scripts/ood/sem/cifar100_test_ood_sem.sh | #!/bin/bash
# sh scripts/ood/sem/cifar100_test_ood_sem.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... | 686 | 28.869565 | 82 | sh |
null | OpenOOD-main/scripts/ood/sem/cifar100_train_sem.sh | #!/bin/bash
# sh scripts/ood/sem/cifar100_train_sem.sh
#GPU=1
#CPU=1
#node=79
#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 \
-... | 713 | 30.043478 | 101 | sh |
null | OpenOOD-main/scripts/ood/sem/cifar10_test_ood_sem.sh | #!/bin/bash
# sh scripts/ood/sem/cifar10_test_ood_sem.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.... | 678 | 28.521739 | 73 | sh |
null | OpenOOD-main/scripts/ood/sem/cifar10_train_sem.sh | #!/bin/bash
# sh scripts/ood/sem/cifar10_train_sem.sh
# GPU=1
# CPU=1
# node=79
# 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... | 631 | 26.478261 | 70 | sh |
null | OpenOOD-main/scripts/ood/sem/imagenet_test_ood_sem.sh | #!/bin/bash
# sh scripts/ood/sem/imagenet_test_ood_sem.sh
GPU=1
CPU=1
node=76
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... | 790 | 28.296296 | 72 | sh |
null | OpenOOD-main/scripts/ood/sem/mnist_test_ood_sem.sh | #!/bin/bash
# sh scripts/ood/sem/mnist_test_ood_sem.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... | 657 | 27.608696 | 73 | sh |
null | OpenOOD-main/scripts/ood/sem/sweep_osr.py | # python scripts/ood/sem/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/chec... | 1,262 | 39.741935 | 136 | py |
null | OpenOOD-main/scripts/ood/she/cifar100_test_ood_she.sh | #!/bin/bash
# sh scripts/ood/she/cifar100_test_ood_she.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/she/cifar10_test_ood_she.sh | #!/bin/bash
# sh scripts/ood/she/cifar10_test_ood_she.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... | 1,135 | 30.555556 | 96 | sh |
null | OpenOOD-main/scripts/ood/she/imagenet200_test_ood_she.sh | #!/bin/bash
# sh scripts/ood/she/imagenet200_test_ood_she.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/she/imagenet_test_ood_she.sh | #!/bin/bash
# sh scripts/ood/she/imagenet_test_ood_she.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/ssd/cifar_10_test_ood_ssd.sh | #!/bin/bash
# sh scripts/ood/ssd/cifar_10_test_ood_ssd.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... | 673 | 25.96 | 73 | sh |
null | OpenOOD-main/scripts/ood/udg/cifar100_test_udg.sh | #!/bin/bash
# sh scripts/ood/udg/cifar100_test_udg.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... | 1,095 | 30.314286 | 88 | sh |
null | OpenOOD-main/scripts/ood/udg/cifar100_train_udg.sh | #!/bin/bash
# sh scripts/ood/udg/cifar100_train_udg.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 pdb -c continue ... | 782 | 29.115385 | 49 | sh |
null | OpenOOD-main/scripts/ood/udg/cifar10_test_udg.sh | #!/bin/bash
# sh scripts/ood/udg/cifar10_test_udg.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 ... | 1,087 | 30.085714 | 87 | sh |
null | OpenOOD-main/scripts/ood/udg/cifar10_train_udg.sh | #!/bin/bash
# sh scripts/ood/udg/cifar10_train_udg.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=${jobname} \
python -m pdb -c continue main.py \
--config configs... | 752 | 29.12 | 51 | sh |
null | OpenOOD-main/scripts/ood/udg/imagenet200_test_udg.sh | #!/bin/bash
# sh scripts/ood/udg/imagenet200_test_udg.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scripts/eval_ood.py... | 674 | 27.125 | 62 | sh |
null | OpenOOD-main/scripts/ood/udg/imagenet200_train_udg.sh | #!/bin/bash
# sh scripts/ood/udg/imagenet200_train_udg.sh
# UDG trainer cannot work with multiple GPUs currently
python main.py \
--config configs/datasets/imagenet200/imagenet200.yml \
configs/datasets/imagenet200/imagenet200_oe.yml \
configs/networks/udg_net.yml \
configs/pipelines/train/baseline.yml... | 767 | 33.909091 | 59 | sh |
null | OpenOOD-main/scripts/ood/vim/cifar100_test_ood_vim.sh | #!/bin/bash
# sh scripts/ood/vim/cifar100_test_ood_vim.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$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 \
--... | 1,175 | 30.783784 | 97 | sh |
null | OpenOOD-main/scripts/ood/vim/cifar10_test_ood_vim.sh | #!/bin/bash
# sh scripts/ood/vim/cifar10_test_ood_vim.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=${jobname} \
python main.py \
--c... | 1,167 | 30.567568 | 96 | sh |
null | OpenOOD-main/scripts/ood/vim/imagenet200_test_ood_vim.sh | #!/bin/bash
# sh scripts/ood/vim/imagenet200_test_ood_vim.sh
############################################
# alternatively, we recommend using the
# new unified, easy-to-use evaluator with
# the example script scripts/eval_ood.py
# especially if you want to get results from
# multiple runs
# ood
python scripts/eval_oo... | 708 | 28.541667 | 74 | sh |
null | OpenOOD-main/scripts/ood/vim/imagenet_test_ood_vim.sh | #!/bin/bash
# sh scripts/ood/vim/imagenet_test_ood_vim.sh
GPU=1
CPU=1
node=73
jobname=openood
PYTHONPATH='.':$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-${node} \
python main.py \
--co... | 1,428 | 28.163265 | 82 | sh |
null | OpenOOD-main/scripts/ood/vim/mnist_test_osr_vim.sh | #!/bin/bash
# sh scripts/ood/vim/mnist_test_osr_vim.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$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 ... | 702 | 27.12 | 66 | sh |
null | OpenOOD-main/scripts/ood/vim/sweep_osr.py | # python scripts/ood/vim/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... | 1,371 | 32.463415 | 77 | py |
null | OpenOOD-main/scripts/ood/vos/cifar100_test_vos.sh | #!/bin/bash
# sh scripts/ood/vos/cifar100_test_vos.sh
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 configs/datasets/cifar100/cifar10... | 1,116 | 35.032258 | 96 | sh |
null | OpenOOD-main/scripts/ood/vos/cifar100_train_vos.sh | #!/bin/bash
# sh scripts/ood/vos/cifar100_train_vos.sh
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 configs/datasets/cifar100/cifar1... | 597 | 32.222222 | 72 | sh |
null | OpenOOD-main/scripts/ood/vos/cifar10_test_vos.sh | #!/bin/bash
# sh scripts/ood/vos/cifar10_test_vos.sh
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 configs/datasets/cifar10/cifar10.y... | 1,110 | 34.83871 | 95 | sh |
null | OpenOOD-main/scripts/ood/vos/cifar10_train_vos.sh | #!/bin/bash
# sh scripts/ood/vos/cifar10_train_vos.sh
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 configs/datasets/cifar10/cifar10.... | 594 | 32.055556 | 72 | sh |
null | OpenOOD-main/scripts/ood/vos/imagenet200_test_vos.sh | #!/bin/bash
# sh scripts/ood/vos/imagenet200_test_vos.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... | 694 | 27.958333 | 72 | sh |
null | OpenOOD-main/scripts/ood/vos/imagenet200_train_vos.sh | #!/bin/bash
# sh scripts/ood/vos/imagenet200_train_vos.sh
python main.py \
--config configs/datasets/imagenet200/imagenet200.yml \
configs/networks/resnet18_224x224.yml \
configs/pipelines/train/train_vos.yml \
configs/preprocessors/base_preprocessor.yml \
configs/postprocessors/ebo.yml \
--opt... | 456 | 29.466667 | 59 | sh |
null | OpenOOD-main/scripts/ood/vos/imagenet_train_vos.sh | #!/bin/bash
# sh scripts/ood/vos/imagenet_train_vos.sh
# we observed CUDA OOM error on Quadro RTX 6000 24GB GPUs
python main.py \
--config configs/datasets/imagenet/imagenet.yml \
configs/networks/resnet50.yml \
configs/pipelines/train/train_vos.yml \
configs/preprocessors/base_preprocessor.yml \
c... | 670 | 32.55 | 82 | sh |
null | OpenOOD-main/scripts/osr/arpl/2_arpl_test.sh | #!/bin/bash
# sh scripts/c_ood/0_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.... | 541 | 24.809524 | 73 | sh |
null | OpenOOD-main/scripts/osr/arpl/2_arpl_train.sh | #!/bin/bash
# sh scripts/0_basics/cifar10_train.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.... | 488 | 23.45 | 51 | sh |
null | OpenOOD-main/scripts/osr/arpl/2_arplgan_test.sh | #!/bin/bash
# sh scripts/c_ood/0_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.... | 570 | 24.954545 | 73 | sh |
null | OpenOOD-main/scripts/osr/arpl/2_arplgan_train.sh | #!/bin/bash
# sh scripts/0_basics/cifar10_train.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... | 519 | 22.636364 | 51 | sh |
null | OpenOOD-main/scripts/osr/arpl/cifar100_test_ood_arpl.sh | #!/bin/bash
# sh scripts/osr/arpl/cifar100_test_ood_arpl.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} \
# this... | 881 | 32.923077 | 102 | sh |
null | OpenOOD-main/scripts/osr/arpl/cifar100_train_arpl.sh | #!/bin/bash
# sh scripts/osr/arpl/cifar100_train_arpl.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... | 641 | 26.913043 | 56 | sh |
null | OpenOOD-main/scripts/osr/arpl/cifar10_test_ood_arpl.sh | #!/bin/bash
# sh scripts/osr/arpl/cifar10_test_ood_arpl.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} \
# this ... | 876 | 32.730769 | 102 | sh |
null | OpenOOD-main/scripts/osr/arpl/cifar10_train_arpl.sh | #!/bin/bash
# sh scripts/osr/arpl/cifar10_train_arpl.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 ... | 638 | 26.782609 | 56 | sh |
null | OpenOOD-main/scripts/osr/arpl/imagenet200_test_ood_arpl.sh | #!/bin/bash
# sh scripts/osr/arpl/imagenet200_test_ood_arpl.sh
# NOTE!!!!
# need to manually change the checkpoint path in configs/pipelines/test/test_arpl.yml
SCHEME="ood" # "ood" or "fsood"
python main.py \
--config configs/datasets/imagenet200/imagenet200.yml \
configs/datasets/imagenet200/imagenet200_${SCH... | 630 | 34.055556 | 85 | sh |
null | OpenOOD-main/scripts/osr/arpl/imagenet200_train_arpl.sh | #!/bin/bash
# sh scripts/osr/arpl/imagenet200_train_arpl.sh
python main.py \
--config configs/datasets/imagenet200/imagenet200.yml \
configs/networks/arpl_net.yml \
configs/pipelines/train/train_arpl.yml \
configs/preprocessors/base_preprocessor.yml \
--network.feat_extract_network.name resnet18_22... | 473 | 30.6 | 59 | sh |
null | OpenOOD-main/scripts/osr/arpl/imagenet_test_ood_arpl.sh | #!/bin/bash
# sh scripts/osr/arpl/imagenet_test_ood_arpl.sh
# NOTE!!!!
# need to manually change the checkpoint path in configs/pipelines/test/test_arpl.yml
SCHEME="fsood" # "ood" or "fsood"
python main.py \
--config configs/datasets/imagenet/imagenet.yml \
configs/datasets/imagenet/imagenet_${SCHEME}.yml \
... | 609 | 32.888889 | 85 | sh |
null | OpenOOD-main/scripts/osr/arpl/imagenet_train_arpl.sh | #!/bin/bash
# sh scripts/osr/arpl/imagenet200_train_arpl.sh
python main.py \
--config configs/datasets/imagenet/imagenet.yml \
configs/networks/arpl_net.yml \
configs/pipelines/train/train_arpl.yml \
configs/preprocessors/base_preprocessor.yml \
--network.feat_extract_network.name resnet50 \
--... | 643 | 34.777778 | 103 | sh |
null | OpenOOD-main/scripts/osr/opengan/cifar100_test_ood_opengan.sh | #!/bin/bash
# sh scripts/osr/opengan/cifar100_test_ood_opengan.sh
# NOTE!!!!
# need to manually change the network checkpoint path (not backbone) in configs/pipelines/test/test_opengan.yml
# corresponding to different runs
SEED=0
python main.py \
--config configs/datasets/cifar100/cifar100.yml \
configs/datase... | 718 | 36.842105 | 112 | sh |
null | OpenOOD-main/scripts/osr/opengan/cifar100_train_opengan.sh | #!/bin/bash
# sh scripts/osr/opengan/cifar100_train_opengan.sh
SEED=0
# feature extraction
python main.py \
--config configs/datasets/cifar100/cifar100.yml \
configs/datasets/cifar100/cifar100_ood.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines/train/train_opengan_feat_extract.yml \
... | 1,016 | 36.666667 | 112 | sh |
null | OpenOOD-main/scripts/osr/opengan/cifar10_test_ood_opengan.sh | #!/bin/bash
# sh scripts/osr/opengan/cifar10_test_ood_opengan.sh
# NOTE!!!!
# need to manually change the network checkpoint path (not backbone) in configs/pipelines/test/test_opengan.yml
# corresponding to different runs
SEED=0
python main.py \
--config configs/datasets/cifar10/cifar10.yml \
configs/datasets/... | 712 | 36.526316 | 111 | sh |
null | OpenOOD-main/scripts/osr/opengan/cifar10_train_opengan.sh | #!/bin/bash
# sh scripts/osr/opengan/cifar10_train_opengan.sh
SEED=0
# feature extraction
python main.py \
--config configs/datasets/cifar10/cifar10.yml \
configs/datasets/cifar10/cifar10_ood.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines/train/train_opengan_feat_extract.yml \
confi... | 1,006 | 36.296296 | 111 | sh |
null | OpenOOD-main/scripts/osr/opengan/feature_extract.sh | #!/bin/bash
# sh scripts/osr/opengan/feature_extract.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 \... | 664 | 27.913043 | 82 | sh |
null | OpenOOD-main/scripts/osr/opengan/imagenet200_test_ood_opengan.sh | #!/bin/bash
# sh scripts/osr/opengan/imagenet200_test_ood_opengan.sh
# NOTE!!!!
# need to manually change the network checkpoint path (not backbone) in configs/pipelines/test/test_opengan.yml
# corresponding to different runs
SEED=0
SCHEME="ood" # "ood" or "fsood"
python main.py \
--config configs/datasets/imagene... | 861 | 38.181818 | 116 | sh |
null | OpenOOD-main/scripts/osr/opengan/imagenet200_train_opengan.sh | #!/bin/bash
# sh scripts/osr/opengan/imagenet200_train_opengan.sh
SEED=0
# feature extraction
python main.py \
--config configs/datasets/imagenet200/imagenet200.yml \
configs/datasets/imagenet200/imagenet200_ood.yml \
configs/networks/resnet18_224x224.yml \
configs/pipelines/train/train_opengan_feat_e... | 1,084 | 37.75 | 116 | sh |
null | OpenOOD-main/scripts/osr/openmax/cifar100_test_ood_openmax.sh | #!/bin/bash
# sh scripts/osr/openmax/cifar100_test_ood_openmax.sh
# GPU=1
# CPU=1
# node=30
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
python main.py \
--config configs/datasets/cifar100/cifar100.yml \
configs/datasets/cifar100/cifar100_ood.yml \
configs/networks/resnet18_32x32.yml \
configs/pipe... | 979 | 28.69697 | 97 | sh |
null | OpenOOD-main/scripts/osr/openmax/cifar10_test_ood_openmax.sh | #!/bin/bash
# sh scripts/osr/openmax/cifar10_test_ood_openmax.sh
# GPU=1
# CPU=1
# node=30
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
python main.py \
--config configs/datasets/cifar10/cifar10.yml \
configs/datasets/cifar10/cifar10_ood.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines... | 971 | 28.454545 | 96 | sh |
null | OpenOOD-main/scripts/osr/openmax/imagenet200_test_ood_openmax.sh | #!/bin/bash
# sh scripts/ood/openmax/imagenet200_test_ood_openmax.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... | 724 | 29.208333 | 74 | sh |
null | OpenOOD-main/scripts/osr/openmax/imagenet_test_ood_openmax.sh | #!/bin/bash
# sh scripts/osr/openmax/imagenet_test_ood_openmax.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 | 82 | sh |
null | OpenOOD-main/scripts/osr/openmax/mnist_test_ood_openmax.sh | #!/bin/bash
# sh scripts/osr/openmax/mnist_test_ood_openmax.sh
# GPU=1
# CPU=1
# node=30
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
python main.py \
--config configs/datasets/mnist/mnist.yml \
configs/datasets/mnist/mnist_ood.yml \
configs/networks/lenet.yml \
configs/pipelines/test/test_ood.yml \
configs/prepro... | 487 | 22.238095 | 70 | sh |
null | OpenOOD-main/scripts/osr/openmax/mnist_test_osr_openmax.sh | #!/bin/bash
# sh scripts/osr/openmax/mnist_test_osr_openmax.sh
# GPU=1
# CPU=1
# node=30
# jobname=openood
PYTHONPATH='.':$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} \
pytho... | 683 | 27.5 | 73 | sh |
null | OpenOOD-main/scripts/osr/openmax/sweep_osr.py | # python scripts/osr/openmax/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',
'resnet... | 1,330 | 32.275 | 77 | py |
null | OpenOOD-main/scripts/sweep/sweep_hyperparam.py | import argparse
import os
# dictionary with keywords from benchmarks
network_dict = {
'mnist': 'lenet',
'mnist6': 'lenet',
'cifar10': 'resnet18_32x32',
'cifar6': 'resnet18_32x32',
'cifar100': 'resnet18_32x32',
'cifar50': 'resnet18_32x32',
'imagenet': 'resnet50',
'tin20': 'resnet18_64x64... | 4,645 | 40.115044 | 82 | py |
null | OpenOOD-main/scripts/sweep/sweep_posthoc.py | import argparse
import csv
import os
import numpy as np
from write_metrics import make_args_list, write_metric, write_total
# dictionary with keywords from benchmarks
network_dict = {
'mnist': 'lenet',
'mnist6': 'lenet',
'cifar10': 'resnet18_32x32',
'cifar6': 'resnet18_32x32',
'cifar100': 'resnet1... | 5,797 | 44.296875 | 109 | py |
null | OpenOOD-main/scripts/sweep/sweep_posthoc.sh | # sh ./scripts/sweep/sweep_posthoc.sh
python ./scripts/sweep/sweep_posthoc.py \
--benchmarks 'cifar10' \
--methods 'msp' \
--metrics 'ood' \
--metric2save 'fpr95' 'auroc' 'aupr_in' \
--output-dir './results/ood' \
--launcher 'local' \
--update_form_only
| 254 | 24.5 | 41 | sh |
null | OpenOOD-main/scripts/sweep/sweep_posthoc_ood.sh | # sh ./scripts/sweep/sweep_posthoc-backup.sh
python ./scripts/sweep/sweep_posthoc.py \
--benchmarks 'cifar10' 'cifar100' \
--methods 'msp' 'odin' 'mds' 'gram' 'ebo' 'gradnorm' 'react' 'dice' 'vim' 'mls' 'klm' 'knn' \
--metrics 'ood' \
--metric2save 'fpr95' 'auroc' 'aupr_in' \
--output-dir './results/ood' \
--launcher '... | 348 | 33.9 | 93 | sh |
null | OpenOOD-main/scripts/sweep/sweep_posthoc_osr.sh | # sh ./scripts/sweep/sweep_posthoc_osr.sh
python ./scripts/sweep/sweep_posthoc.py \
--benchmarks 'cifar6' 'cifar50' 'mnist6' 'tin20' \
--methods 'msp' \
--metrics 'osr' \
--metric2save 'fpr95' 'auroc' 'aupr_in' \
--output-dir './results/osr' \
--launcher 'local' \
--update_form_only
| 284 | 27.5 | 50 | sh |
null | OpenOOD-main/scripts/sweep/sweep_posthoc_total.sh | # sh ./scripts/sweep/sweep_posthoc_total.sh
python ./scripts/sweep/sweep_posthoc.py \
--benchmarks 'cifar6' 'cifar50' 'mnist6' 'tin20' 'cifar10' 'cifar100' \
--methods 'msp' 'odin' 'mds' 'gram' 'ebo' 'gradnorm' 'react' 'dice' 'vim' 'mls' 'klm' 'knn' \
--metrics 'osr' 'ood' \
--metric2save 'fpr95' 'auroc' 'aupr_in' \
-... | 416 | 36.909091 | 93 | sh |
null | OpenOOD-main/scripts/sweep/sweep_train.py | import argparse
import os
# dictionary with keywords from benchmarks
network_dict = {
'mnist': 'lenet',
'mnist6': 'lenet',
'cifar10': 'resnet18_32x32',
'cifar6': 'resnet18_32x32',
'cifar100': 'resnet18_32x32',
'cifar50': 'resnet18_32x32',
'imagenet': 'resnet50',
'tin20': 'resnet18_64x64... | 2,041 | 35.464286 | 79 | py |
null | OpenOOD-main/scripts/sweep/sweep_train.sh | # sh ./scripts/sweep/sweep_train.sh
python ./scripts/sweep/sweep_train.py \
--benchmarks 'tin20' \
--launcher 'slurm'
| 118 | 22.8 | 39 | sh |
null | OpenOOD-main/scripts/sweep/write_metrics.py | import csv
import os
import numpy as np
def make_args_list(benchmarks, methods, metrics, benchmark_dict):
args_list = []
for metric in metrics:
for benchmark in set(benchmarks) & set(benchmark_dict[metric]):
for method in methods:
args_list.append([benchmark, method, metri... | 9,826 | 42.482301 | 79 | py |
null | OpenOOD-main/scripts/uncertainty/augmix/cifar100_test_ood_msp.sh | #!/bin/bash
# sh scripts/uncertainty/augmix/cifar100_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
python scripts/eval_o... | 475 | 30.733333 | 70 | sh |
null | OpenOOD-main/scripts/uncertainty/augmix/cifar100_train_augmix.sh | #!/bin/bash
# sh scripts/uncertainty/augmix/cifar10_train_augmix.sh
# somehow the loss will diverge to NaN if using JSD
# so just use no-jsd here
python main.py \
--config configs/datasets/cifar100/cifar100.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines/train/train_augmix.yml \
configs/p... | 584 | 31.5 | 55 | sh |
null | OpenOOD-main/scripts/uncertainty/augmix/cifar10_test_ood_msp.sh | #!/bin/bash
# sh scripts/uncertainty/augmix/cifar10_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
python scripts/eval_oo... | 472 | 30.533333 | 69 | sh |
null | OpenOOD-main/scripts/uncertainty/augmix/cifar10_train_augmix.sh | #!/bin/bash
# sh scripts/uncertainty/augmix/cifar10_train_augmix.sh
# somehow the loss will diverge to NaN if using JSD
# so just use no-jsd here
python main.py \
--config configs/datasets/cifar10/cifar10.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines/train/train_augmix.yml \
configs/pre... | 582 | 31.388889 | 55 | sh |
null | OpenOOD-main/scripts/uncertainty/augmix/imagenet200_test_ood_msp.sh | #!/bin/bash
# sh scripts/uncertainty/augmix/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 scri... | 723 | 29.166667 | 76 | sh |
null | OpenOOD-main/scripts/uncertainty/augmix/imagenet200_train_augmix.sh | #!/bin/bash
# sh scripts/uncertainty/augmix/imagenet200_train_augmix.sh
python main.py \
--config configs/datasets/imagenet200/imagenet200.yml \
configs/networks/resnet18_224x224.yml \
configs/pipelines/train/train_augmix.yml \
configs/preprocessors/augmix_preprocessor.yml \
--dataset.train.dataset... | 495 | 32.066667 | 59 | sh |
null | OpenOOD-main/scripts/uncertainty/augmix/imagenet_test_ood_msp.sh | #!/bin/bash
# sh scripts/uncertainty/augmix/imagenet_test_ood_msp.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 \
--... | 687 | 27.666667 | 74 | sh |
null | OpenOOD-main/scripts/uncertainty/cutmix/cifar100_test_ood_msp.sh | #!/bin/bash
# sh scripts/uncertainty/cutmix/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-${node} \
pyt... | 708 | 29.826087 | 91 | sh |
null | OpenOOD-main/scripts/uncertainty/cutmix/cifar100_train_cutmix.sh | #!/bin/bash
# sh scripts/uncertainty/cutmix/cifar100_train_cutmix.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$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-${node... | 621 | 24.916667 | 56 | sh |
null | OpenOOD-main/scripts/uncertainty/cutmix/cifar10_test_ood_msp.sh | #!/bin/bash
# sh scripts/uncertainty/cutmix/cifar10_test_ood_msp.sh
# GPU=1
# CPU=1
# node=36
# jobname=openood
PYTHONPATH='.':$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-${node} \
pyth... | 702 | 29.565217 | 90 | sh |
null | OpenOOD-main/scripts/uncertainty/cutmix/cifar10_train_cutmix.sh | #!/bin/bash
# sh scripts/uncertainty/cutmix/cifar10_train_cutmix.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$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-${node}... | 618 | 24.791667 | 55 | sh |
null | OpenOOD-main/scripts/uncertainty/cutmix/mnist_test_ood_msp.sh | #!/bin/bash
# sh scripts/uncertainty/cutmix/mnist_test_ood_msp.sh
# GPU=1
# CPU=1
# node=36
# jobname=openood
PYTHONPATH='.':$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-${node} \
python... | 672 | 28.26087 | 79 | sh |
null | OpenOOD-main/scripts/uncertainty/cutmix/mnist_train_cutmix.sh | #!/bin/bash
# sh scripts/uncertainty/cutmix/mnist_train_cutmix.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$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-${node} \... | 603 | 24.166667 | 53 | sh |
null | OpenOOD-main/scripts/uncertainty/cutmix/osr_mnist6_test_ood_msp.sh | #!/bin/bash
# sh scripts/uncertainty/cutmix/osr_mnist6_test_ood_msp.sh
GPU=1
CPU=1
node=73
jobname=openood
PYTHONPATH='.':$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-${node} \
pytho... | 708 | 28.541667 | 90 | sh |
null | OpenOOD-main/scripts/uncertainty/cutmix/osr_mnist6_train_cutmix.sh | #!/bin/bash
# sh scripts/uncertainty/cutmix/osr_mnist6_train_cutmix.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$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... | 620 | 24.875 | 58 | sh |
null | OpenOOD-main/scripts/uncertainty/cutmix/sweep.py | # python scripts/uncertainty/cutmix/sweep.py
import os
config = [
['osr_cifar6/cifar6_seed1.yml', 'resnet18_32x32'],
['osr_cifar50/cifar50_seed1.yml', 'resnet18_32x32'],
['osr_tin20/tin20_seed1.yml', 'resnet18_64x64'],
['osr_mnist4/mnist4_seed1.yml', 'lenet'],
['mnist/mnist.yml', 'lenet'],
]
for [... | 887 | 31.888889 | 56 | py |
null | OpenOOD-main/scripts/uncertainty/cutout/cifar100_test_ood_msp.sh | #!/bin/bash
# sh scripts/uncertainty/cutout/cifar100_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
python scripts/eval_o... | 477 | 30.866667 | 72 | sh |
null | OpenOOD-main/scripts/uncertainty/cutout/cifar100_train_cutout.sh | #!/bin/bash
# sh scripts/uncertainty/cutout/cifar100_train_cutout.sh
python main.py \
--config configs/datasets/cifar100/cifar100.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines/train/baseline.yml \
configs/preprocessors/cutout_preprocessor.yml \
--preprocessor.length 8 \
--seed 0... | 345 | 27.833333 | 56 | sh |
null | OpenOOD-main/scripts/uncertainty/cutout/cifar10_test_ood_msp.sh | #!/bin/bash
# sh scripts/uncertainty/cutout/cifar10_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
python scripts/eval_oo... | 475 | 30.733333 | 72 | sh |
null | OpenOOD-main/scripts/uncertainty/cutout/cifar10_train_cutout.sh | #!/bin/bash
# sh scripts/uncertainty/cutout/cifar10_train_cutout.sh
python main.py \
--config configs/datasets/cifar10/cifar10.yml \
configs/networks/resnet18_32x32.yml \
configs/pipelines/train/baseline.yml \
configs/preprocessors/cutout_preprocessor.yml \
--seed 0 \
--mark cutout-1-16
| 313 | 27.545455 | 55 | sh |
null | OpenOOD-main/scripts/uncertainty/deepaugment/imagenet200_test_ood_msp.sh | #!/bin/bash
# sh scripts/uncertainty/deepaugment/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... | 732 | 29.541667 | 78 | sh |
null | OpenOOD-main/scripts/uncertainty/deepaugment/imagenet200_train_deepaugment.sh | #!/bin/bash
# sh scripts/uncertainty/deepaugment/imagenet200_train_deepaugment.sh
# the model sees three times the data as the baseline
# so only trains for 90/3=30 epochs
python main.py \
--config configs/datasets/imagenet200/imagenet200.yml \
configs/networks/resnet18_224x224.yml \
configs/pipelines/trai... | 662 | 35.833333 | 104 | sh |
null | OpenOOD-main/scripts/uncertainty/deepaugment/imagenet_test_ood_msp.sh | #!/bin/bash
# sh scripts/uncertainty/deepaugment/imagenet_test_ood_msp.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 \
... | 696 | 28.041667 | 76 | sh |
null | OpenOOD-main/scripts/uncertainty/ensemble/2_mnist_ensemble_train.sh | #!/bin/bash
# sh scripts/d_uncertainty/2_mnist_ensemble_train.sh
# for ensemble (mnist + lenet)
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... | 629 | 24.2 | 52 | sh |
null | OpenOOD-main/scripts/uncertainty/ensemble/cifar100_test_ood_ensemble.sh | #!/bin/bash
# sh scripts/uncertainty/ensemble/cifar100_test_ood_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... | 959 | 31 | 94 | sh |
null | OpenOOD-main/scripts/uncertainty/ensemble/cifar10_test_ood_ensemble.sh | #!/bin/bash
# sh scripts/uncertainty/ensemble/cifar10_test_ood_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... | 953 | 30.8 | 93 | sh |
null | OpenOOD-main/scripts/uncertainty/ensemble/mnist_ensemble_test.sh | #!/bin/bash
# sh scripts/uncertainty/ensemble/mnist_ensemble_test.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 ... | 908 | 30.344828 | 88 | sh |
null | OpenOOD-main/scripts/uncertainty/ensemble/osr_mnist_test_ood_ensemble.sh | #!/bin/bash
# sh scripts/uncertainty/ensemble/osr_mnist_test_ood_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=${jobname} -w SG-IDC1-10-51-2-${... | 948 | 30.633333 | 88 | sh |
null | OpenOOD-main/scripts/uncertainty/ensemble/osr_test_ood_ensemble.sh | #!/bin/bash
# sh scripts/uncertainty/ensemble/osr_test_ood_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=${jobname} \
python main.py \
--config configs/datas... | 904 | 30.206897 | 78 | sh |
null | OpenOOD-main/scripts/uncertainty/mc_dropout/cifar100_test_mc_dropout.sh | #!/bin/bash
# sh scripts/uncertainty/mc_dropout/cifar100_test_mc_dropout.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$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-... | 716 | 26.576923 | 87 | sh |
null | OpenOOD-main/scripts/uncertainty/mc_dropout/cifar100_train_mc_dropout.sh | #!/bin/bash
# sh scripts/uncertainty/mc_dropout/cifar100_train_mc_dropout.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=${jobname} \
# -w SG-IDC1-10-51... | 645 | 24.84 | 64 | sh |
null | OpenOOD-main/scripts/uncertainty/mc_dropout/cifar10_test_mc_dropout.sh | #!/bin/bash
# sh scripts/uncertainty/mc_dropout/cifar10_test_mc_dropout.sh
# GPU=1
# CPU=1
# node=73
# jobname=openood
PYTHONPATH='.':$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... | 733 | 26.185185 | 86 | sh |