OpenOOD/batch_file_deal2.py

import subprocess
import os

# 设置 PYTHONPATH 环境变量
pythonpath = '.'
if 'PYTHONPATH' in os.environ:
    pythonpath += ':' + os.environ['PYTHONPATH']
os.environ['PYTHONPATH'] = pythonpath

ROOT = "/home/zhourixin/OOD_Folder/CODE/other_methods/openOOD_code/OpenOOD"


run_file = ROOT+"/eval_ood.py"


subprocess.run(["python", run_file, "--id-data=bronze2", \
                "--root=/home/zhourixin/OOD_Folder/CODE/other_methods/openOOD_code/OpenOOD/results/bronze_2_p2pnet_415", \
                "--postprocessor=gram",\
                "--batch-size=20",\
                "--save-score",\
                "--save-csv",\
                            ])

# subprocess.run(["python", run_file, "--id-data=bronze2", \
#                 "--root=/home/zhourixin/OOD_Folder/CODE/other_methods/openOOD_code/OpenOOD/results/bronze_2_p2pnet_415", \
#                 "--postprocessor=gradnorm",\
#                 "--batch-size=20",\
#                 "--save-score",\
#                 "--save-csv",\
#                             ])



# subprocess.run(["python", run_file, "--id-data=bronze2", \
#                 "--root=/home/zhourixin/OOD_Folder/CODE/other_methods/openOOD_code/OpenOOD/results/bronze_2_p2pnet_415", \
#                 "--postprocessor=react",\
#                 "--batch-size=100",\
#                 "--save-score",\
#                 "--save-csv",\
#                             ])

# subprocess.run(["python", run_file, "--id-data=bronze2", \
#                 "--root=/home/zhourixin/OOD_Folder/CODE/other_methods/openOOD_code/OpenOOD/results/bronze_2_p2pnet_415", \
#                 "--postprocessor=mls",\
#                 "--batch-size=100",\
#                 "--save-score",\
#                 "--save-csv",\
#                             ])

# subprocess.run(["python", run_file, "--id-data=bronze2", \
#                 "--root=/home/zhourixin/OOD_Folder/CODE/other_methods/openOOD_code/OpenOOD/results/bronze_2_p2pnet_415", \
#                 "--postprocessor=klm",\
#                 "--batch-size=100",\
#                 "--save-score",\
#                 "--save-csv",\
#                             ])

# subprocess.run(["python", run_file, "--id-data=bronze2", \
#                 "--root=/home/zhourixin/OOD_Folder/CODE/other_methods/openOOD_code/OpenOOD/results/bronze_2_p2pnet_415", \
#                 "--postprocessor=vim",\
#                 "--batch-size=100",\
#                 "--save-score",\
#                 "--save-csv",\
#                             ])

# subprocess.run(["python", run_file, "--id-data=bronze2", \
#                 "--root=/home/zhourixin/OOD_Folder/CODE/other_methods/openOOD_code/OpenOOD/results/bronze_2_p2pnet_415", \
#                 "--postprocessor=knn",\
#                 "--batch-size=100",\
#                 "--save-score",\
#                 "--save-csv",\
#                             ])

# subprocess.run(["python", run_file, "--id-data=bronze2", \
#                 "--root=/home/zhourixin/OOD_Folder/CODE/other_methods/openOOD_code/OpenOOD/results/bronze_2_p2pnet_415", \
#                 "--postprocessor=dice",\
#                 "--batch-size=100",\
#                 "--save-score",\
#                 "--save-csv",\
#                             ])






# run_file = ROOT+"/main.py"
# subprocess.run(["python", run_file, "--config configs/datasets/cifar10/cifar10.yml \
#     configs/datasets/cifar10/cifar10_ood.yml \
#     configs/networks/resnet18_32x32.yml \
#     configs/pipelines/test/test_ood.yml \
#     configs/preprocessors/base_preprocessor.yml \
#     configs/postprocessors/knn.yml ", "--num_workers=8", 
#     "--network.checkpoint='results/cifar10_resnet18_32x32_base_e100_lr0.1_default/s0/best.ckpt'",
#     "--mark=0"])


# cmd = "python main.py \
#     --config configs/datasets/cifar10/cifar10.yml \
#     configs/datasets/cifar10/cifar10_ood.yml \
#     configs/networks/resnet18_32x32.yml \
#     configs/pipelines/test/test_ood.yml \
#     configs/preprocessors/base_preprocessor.yml \
#     configs/postprocessors/knn.yml \
#     --num_workers 8 \
#     --network.checkpoint 'results/cifar10_resnet18_32x32_base_e100_lr0.1_default/s0/best.ckpt' \
#     --mark 0"

# subprocess.run(cmd, shell=True, cwd=ROOT)

# # subprocess.run(["python", run_file, "--model_type=test"])
# # subprocess.run(["python", run_file, "--model_type=stage1"])
# # subprocess.run(["python", run_file, "--model_type=stage2"])
# # subprocess.run(["python", run_file, "--model_type=stage2_searching"])

# path = ROOT
# # cmd = 'python -m torch.distributed.launch --nproc_per_node 4 texture_countour_double_GCN.py --model_type=stage2'
# # subprocess.run(cmd, shell=True, cwd=path)
# cmd = 'python texture_countour_double_GCN.py --model_type=stage2_searching'
# subprocess.run(cmd, shell=True, cwd=path)