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/configs/pipelines/train/train_rd4ad.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{trainer.name}'_e'@{optimizer.num_epochs}'_lr'@{optimizer.lr}'_'@{mark}'"
output_dir: ./results/
save_output: True
force_merge: False
merge_option: merge
mark: default
num_gpus: 1
num_workers: 0
num_machines: 1
machine_rank: 0
preprocessor:
name: base
pipeline:
na... | 506 | 13.911765 | 122 | yml |
null | OpenOOD-main/configs/pipelines/train/train_regmixup.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{trainer.name}'\
_e'@{optimizer.num_epochs}'_lr'@{optimizer.lr}'\
_alpha'@{trainer.trainer_args.alpha}'_'@{mark}'/s'@{seed}'"
output_dir: ./results/
save_output: True
merge_option: default
mark: default
seed: 0
num_gpus: 1
num_workers: 8
num_machines: 1
machine_rank: 0
... | 567 | 14.777778 | 65 | yml |
null | OpenOOD-main/configs/pipelines/train/train_sem.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{trainer.name}'\
_e'@{optimizer.num_epochs}'_lr'@{optimizer.lr}'"
output_dir: ./results/
save_output: True
merge_option: default
num_gpus: 1
num_workers: 0
num_machines: 1
machine_rank: 0
pipeline:
name: finetune
network:
pretrained: True
trainer:
name: sae
t... | 697 | 16.45 | 75 | yml |
null | OpenOOD-main/configs/pipelines/train/train_udg.yml | pipeline:
name: train_oe
trainer:
name: udg
num_clusters: 1000
pca_dim: 256
purity_ind_thresh: 0.8
purity_ood_thresh: 0.8
oe_enhance_ratio: 2.0
lambda_oe: 0.5
lambda_aux: 0.1
| 194 | 14 | 24 | yml |
null | OpenOOD-main/configs/pipelines/train/train_vos.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{trainer.name}'_e'@{optimizer.num_epochs}'_lr'@{optimizer.lr}'_'@{mark}'/s'@{seed}'"
output_dir: ./results/
save_output: True
merge_option: default # disabled if 'save_output' is False
num_classes: '@{dataset.num_classes}'
mark: default
seed: 0
num_gpus: 1
num_workers: ... | 709 | 15.136364 | 133 | yml |
null | OpenOOD-main/configs/postprocessors/ash.yml | postprocessor:
name: ash
APS_mode: True
postprocessor_args:
percentile: 90
postprocessor_sweep:
percentile_list: [65, 70, 75, 80, 85, 90, 95]
| 158 | 18.875 | 49 | yml |
null | OpenOOD-main/configs/postprocessors/cider.yml | postprocessor:
name: cider
APS_mode: True
postprocessor_args:
K: 50
postprocessor_sweep:
K_list: [50, 100, 200, 500, 1000]
| 139 | 16.5 | 37 | yml |
null | OpenOOD-main/configs/postprocessors/conf_branch.yml | postprocessor:
name: conf_branch
APS_mode: False
| 53 | 12.5 | 19 | yml |
null | OpenOOD-main/configs/postprocessors/cutpaste.yml | postprocessor:
name: cutpaste
| 32 | 10 | 16 | yml |
null | OpenOOD-main/configs/postprocessors/dice.yml | postprocessor:
name: dice
APS_mode: False
postprocessor_args:
p: 90
postprocessor_sweep:
p_list: [90]
| 118 | 13.875 | 22 | yml |
null | OpenOOD-main/configs/postprocessors/draem.yml | postprocessor:
name: draem
| 29 | 9 | 14 | yml |
null | OpenOOD-main/configs/postprocessors/dropout.yml | postprocessor:
name: dropout
APS_mode: False
postprocessor_args:
dropout_p: 0.5
dropout_times: 5
| 111 | 15 | 21 | yml |
null | OpenOOD-main/configs/postprocessors/dsvdd.yml | postprocessor:
name: dsvdd
| 29 | 9 | 14 | yml |
null | OpenOOD-main/configs/postprocessors/ebo.yml | postprocessor:
name: ebo
APS_mode: True
postprocessor_args:
temperature: 1
postprocessor_sweep:
temperature_list: [1, 10, 100, 1000]
| 149 | 17.75 | 40 | yml |
null | OpenOOD-main/configs/postprocessors/ensemble.yml | postprocessor:
name: ensemble
postprocessor_args:
network_name: lenet
checkpoint_root: ./results/lenet_ensemble_pretrained
checkpoints: [net1, net2, net3, net4, net5]
num_networks: 5 # number of networks to ensembel
| 237 | 28.75 | 56 | yml |
null | OpenOOD-main/configs/postprocessors/gmm.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{pipeline.name}'\
_'@{evaluator.name}'_'@{postprocessor.name}'\
_'@{postprocessor.postprocessor_args.num_clusters_list}'\
_'@{postprocessor.postprocessor_args.alpha_list}'\
_'@{postprocessor.postprocessor_args.reduce_dim_list}'\
_'@{mark}'"
postprocessor:
name: gmm
... | 530 | 34.4 | 66 | yml |
null | OpenOOD-main/configs/postprocessors/godin.yml | postprocessor:
name: godin
APS_mode: False
postprocessor_args:
score_func: h # use h or g
noise_magnitude: 0.0025 # in range of [0, 0.0025, 0.005, 0.01, 0.02, 0.04, 0.08]
| 189 | 26.142857 | 86 | yml |
null | OpenOOD-main/configs/postprocessors/gradnorm.yml | postprocessor:
name: gradnorm
APS_mode: False
postprocessor_args:
| 72 | 13.6 | 21 | yml |
null | OpenOOD-main/configs/postprocessors/gram.yml | postprocessor:
name: gram
APS_mode: True
postprocessor_args:
powers: [1,2,3,4,5]
postprocessor_sweep:
powers_list: [[1,2,3,4,5]]
| 145 | 17.25 | 30 | yml |
null | OpenOOD-main/configs/postprocessors/kdad.yml | postprocessor:
name: msp
| 29 | 9 | 14 | yml |
null | OpenOOD-main/configs/postprocessors/klm.yml | postprocessor:
name: klm
APS_mode: False
| 45 | 10.5 | 17 | yml |
null | OpenOOD-main/configs/postprocessors/knn.yml | postprocessor:
name: knn
APS_mode: True
postprocessor_args:
K: 50
postprocessor_sweep:
K_list: [50, 100, 200, 500, 1000]
| 137 | 16.25 | 37 | yml |
null | OpenOOD-main/configs/postprocessors/mcd.yml | postprocessor:
name: mcd
APS_mode: False
| 45 | 10.5 | 17 | yml |
null | OpenOOD-main/configs/postprocessors/mds.yml | postprocessor:
name: mds
APS_mode: False
| 45 | 10.5 | 17 | yml |
null | OpenOOD-main/configs/postprocessors/mds_ensemble.yml | postprocessor:
name: mds_ensemble
APS_mode: True
postprocessor_args:
noise: 0.0014
feature_type_list: [mean] # flat/mean/stat
alpha_list: [1]
reduce_dim_list: [none] # none/capca/pca_50/lda
postprocessor_sweep:
noise_list: [0.0014]
| 266 | 23.272727 | 53 | yml |
null | OpenOOD-main/configs/postprocessors/mls.yml | postprocessor:
name: mls
APS_mode: False
postprocessor_args:
| 67 | 12.6 | 21 | yml |
null | OpenOOD-main/configs/postprocessors/mos.yml | postprocessor:
name: mos
postprocessor_args:
coreset_sampling_ratio: 0.01
| 82 | 15.6 | 32 | yml |
null | OpenOOD-main/configs/postprocessors/msp.yml | postprocessor:
name: msp
APS_mode: False
| 45 | 10.5 | 17 | yml |
null | OpenOOD-main/configs/postprocessors/npos.yml | postprocessor:
name: npos
APS_mode: True
postprocessor_args:
K: 50
postprocessor_sweep:
K_list: [50, 100, 200, 500, 1000]
| 138 | 16.375 | 37 | yml |
null | OpenOOD-main/configs/postprocessors/odin.yml | postprocessor:
name: odin
APS_mode: True
postprocessor_args:
temperature: 1000
noise: 0.0014
postprocessor_sweep:
temperature: [1, 10, 100, 1000]
noise: [0.0014, 0.0028]
| 194 | 18.5 | 35 | yml |
null | OpenOOD-main/configs/postprocessors/opengan.yml | postprocessor:
name: opengan
APS_mode: False
| 53 | 12.5 | 19 | yml |
null | OpenOOD-main/configs/postprocessors/openmax.yml | postprocessor:
name: openmax
APS_mode: False
postprocessor_args:
coreset_sampling_ratio: 0.01
n_neighbors: 9
phase: test
category: test
save_src_code: True
save_anomaly_map: True
noise:
feature_type_list:
| 243 | 17.769231 | 32 | yml |
null | OpenOOD-main/configs/postprocessors/patch.yml | postprocessor:
name: patchcore
postprocessor_args:
coreset_sampling_ratio: 0.01
n_neighbors: 9
phase: test
category: hazelnut
save_src_code: True
save_anomaly_map: True
noise:
feature_type_list:
| 231 | 18.333333 | 32 | yml |
null | OpenOOD-main/configs/postprocessors/rankfeat.yml | postprocessor:
name: rankfeat
APS_mode: False
postprocessor_args:
accelerate: False
temperature: 1
| 113 | 15.285714 | 21 | yml |
null | OpenOOD-main/configs/postprocessors/rd4ad.yml | postprocessor:
name: rd4ad
APS_mode: False
| 47 | 11 | 17 | yml |
null | OpenOOD-main/configs/postprocessors/react.yml | postprocessor:
name: react
APS_mode: True
postprocessor_args:
percentile: 90
postprocessor_sweep:
percentile_list: [85, 90, 95, 99]
| 148 | 17.625 | 37 | yml |
null | OpenOOD-main/configs/postprocessors/residual.yml | postprocessor:
name: residual
postprocessor_args:
dim: 512
| 67 | 12.6 | 21 | yml |
null | OpenOOD-main/configs/postprocessors/rmds.yml | postprocessor:
name: rel_mds
APS_mode: False
| 49 | 11.5 | 17 | yml |
null | OpenOOD-main/configs/postprocessors/rot.yml | postprocessor:
name: rot
APS_mode: False
| 45 | 10.5 | 17 | yml |
null | OpenOOD-main/configs/postprocessors/rotpred.yml | postprocessor:
name: rot
APS_mode: False
| 45 | 10.5 | 17 | yml |
null | OpenOOD-main/configs/postprocessors/rts.yml | postprocessor:
name: rts
APS_mode: False
postprocessor_args:
ood_score: 'var' # msp or var | 100 | 19.2 | 33 | yml |
null | OpenOOD-main/configs/postprocessors/she.yml | postprocessor:
name: she
APS_mode: False
postprocessor_args:
metric: inner_product
| 93 | 14.666667 | 25 | yml |
null | OpenOOD-main/configs/postprocessors/ssd.yml | postprocessor:
name: mds
APS_mode: True
postprocessor_args:
noise: 0.0014
feature_type_list: [mean] # flat/mean/stat
alpha_list: [1]
reduce_dim_list: [none] # none/capca/pca_50/lda
postprocessor_sweep:
noise_list: [0.0014]
| 257 | 22.454545 | 53 | yml |
null | OpenOOD-main/configs/postprocessors/temp_scaling.yml | postprocessor:
name: temperature_scaling
APS_mode: False
| 61 | 14.5 | 27 | yml |
null | OpenOOD-main/configs/postprocessors/vim.yml | postprocessor:
name: vim
APS_mode: True
postprocessor_args:
dim: 256
postprocessor_sweep:
dim_list: [256, 1000]
| 128 | 15.125 | 25 | yml |
null | OpenOOD-main/configs/postprocessors/_gmm_iter/cifar_gmm_0.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{pipeline.name}'\
_'@{evaluator.name}'_'@{postprocessor.name}'\
_'@{postprocessor.postprocessor_args.num_clusters_list}'\
_'@{postprocessor.postprocessor_args.feature_type_list}'\
_'@{postprocessor.postprocessor_args.alpha_list}'\
_'@{postprocessor.postprocessor_args.red... | 632 | 38.5625 | 80 | yml |
null | OpenOOD-main/configs/postprocessors/_gmm_iter/cifar_gmm_1.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{pipeline.name}'\
_'@{evaluator.name}'_'@{postprocessor.name}'\
_'@{postprocessor.postprocessor_args.num_clusters_list}'\
_'@{postprocessor.postprocessor_args.feature_type_list}'\
_'@{postprocessor.postprocessor_args.alpha_list}'\
_'@{postprocessor.postprocessor_args.red... | 632 | 38.5625 | 80 | yml |
null | OpenOOD-main/configs/postprocessors/_gmm_iter/cifar_gmm_2.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{pipeline.name}'\
_'@{evaluator.name}'_'@{postprocessor.name}'\
_'@{postprocessor.postprocessor_args.num_clusters_list}'\
_'@{postprocessor.postprocessor_args.feature_type_list}'\
_'@{postprocessor.postprocessor_args.alpha_list}'\
_'@{postprocessor.postprocessor_args.red... | 632 | 38.5625 | 80 | yml |
null | OpenOOD-main/configs/postprocessors/_gmm_iter/cifar_gmm_3.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{pipeline.name}'\
_'@{evaluator.name}'_'@{postprocessor.name}'\
_'@{postprocessor.postprocessor_args.num_clusters_list}'\
_'@{postprocessor.postprocessor_args.feature_type_list}'\
_'@{postprocessor.postprocessor_args.alpha_list}'\
_'@{postprocessor.postprocessor_args.red... | 632 | 38.5625 | 80 | yml |
null | OpenOOD-main/configs/postprocessors/_gmm_iter/cifar_gmm_4.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{pipeline.name}'\
_'@{evaluator.name}'_'@{postprocessor.name}'\
_'@{postprocessor.postprocessor_args.num_clusters_list}'\
_'@{postprocessor.postprocessor_args.feature_type_list}'\
_'@{postprocessor.postprocessor_args.alpha_list}'\
_'@{postprocessor.postprocessor_args.red... | 632 | 38.5625 | 80 | yml |
null | OpenOOD-main/configs/postprocessors/_gmm_iter/covid_gmm_0.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{pipeline.name}'\
_'@{evaluator.name}'_'@{postprocessor.name}'\
_'@{postprocessor.postprocessor_args.num_clusters_list}'\
_'@{postprocessor.postprocessor_args.feature_type_list}'\
_'@{postprocessor.postprocessor_args.alpha_list}'\
_'@{postprocessor.postprocessor_args.red... | 636 | 38.8125 | 86 | yml |
null | OpenOOD-main/configs/postprocessors/_gmm_iter/mnist_gmm_0.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{pipeline.name}'\
_'@{evaluator.name}'_gmm0_'@{mark}'"
postprocessor:
name: gmm
postprocessor_args:
num_clusters_list: [3, 1, 10]
feature_type_list: [flat, mean, flat] # flat/mean/stat
alpha_list: [1, 0, 0]
reduce_dim_list: [pca_50, none, pca_50]... | 346 | 30.545455 | 68 | yml |
null | OpenOOD-main/configs/postprocessors/_gmm_iter/mnist_gmm_1.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{pipeline.name}'\
_'@{evaluator.name}'_gmm1_'@{mark}'"
postprocessor:
name: gmm
postprocessor_args:
num_clusters_list: [3, 1, 10]
feature_type_list: [flat, mean, flat] # flat/mean/stat
alpha_list: [-0.001, 0, 1]
reduce_dim_list: [none, none, pca_... | 349 | 30.818182 | 66 | yml |
null | OpenOOD-main/configs/postprocessors/_gmm_iter/mnist_gmm_2.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{pipeline.name}'\
_'@{evaluator.name}'_gmm2_'@{mark}'"
postprocessor:
name: gmm
postprocessor_args:
num_clusters_list: [3, 1, 10]
feature_type_list: [flat, mean, flat] # flat/mean/stat
alpha_list: [-0.01, 0, 1]
reduce_dim_list: [none, none, pca_5... | 348 | 30.727273 | 66 | yml |
null | OpenOOD-main/configs/postprocessors/_gmm_iter/mnist_gmm_3.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{pipeline.name}'\
_'@{evaluator.name}'_gmm3_'@{mark}'"
postprocessor:
name: gmm
postprocessor_args:
num_clusters_list: [3, 1, 10]
feature_type_list: [stat, mean, flat] # flat/mean/stat
alpha_list: [-0.01, 0, 1]
reduce_dim_list: [none, none, pca_5... | 348 | 30.727273 | 66 | yml |
null | OpenOOD-main/configs/postprocessors/_gmm_iter/mnist_gmm_4.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{pipeline.name}'\
_'@{evaluator.name}'_gmm4_'@{mark}'"
postprocessor:
name: gmm
postprocessor_args:
num_clusters_list: [3, 1, 10]
feature_type_list: [stat, mean, flat] # flat/mean/stat
alpha_list: [-0.01, 0, 1]
reduce_dim_list: [none, none, pca_5... | 348 | 30.727273 | 66 | yml |
null | OpenOOD-main/configs/postprocessors/_gmm_iter/mnist_gmm_5.yml | exp_name: "'@{dataset.name}'_'@{network.name}'_'@{pipeline.name}'\
_'@{evaluator.name}'_gmm0_'@{mark}'"
postprocessor:
name: gmm
postprocessor_args:
num_clusters_list: [3, 1, 10]
feature_type_list: [stat, mean, flat] # flat/mean/stat
alpha_list: [-0.01, 0, 1]
reduce_dim_list: [none, none, pca_5... | 348 | 30.727273 | 66 | yml |
null | OpenOOD-main/configs/preprocessors/augmix_preprocessor.yml | preprocessor:
name: augmix
severity: 1 # see torchvision docs for meaning of the args
all_ops: true
mixture_width: 3
alpha: 1.0
chain_depth: -1
| 156 | 18.625 | 60 | yml |
null | OpenOOD-main/configs/preprocessors/base_preprocessor.yml | preprocessor:
name: base
| 27 | 8.333333 | 13 | yml |
null | OpenOOD-main/configs/preprocessors/csi_preprocessor.yml | preprocessor:
name: csi
| 26 | 8 | 13 | yml |
null | OpenOOD-main/configs/preprocessors/cutout_preprocessor.yml | preprocessor:
name: cutout
n_holes: 1
length: 16
| 55 | 10.2 | 14 | yml |
null | OpenOOD-main/configs/preprocessors/cutpaste_preprocessor.yml | preprocessor:
name: cutpaste
preprocessor_args:
area_ratio: [0.02, 0.15]
aspect_ratio: 0.3
| 103 | 16.333333 | 28 | yml |
null | OpenOOD-main/configs/preprocessors/draem_preprocessor.yml | preprocessor:
name: draem
preprocessor_args:
image_size: 256
anomaly_source: ./data/images_classic/texture
| 119 | 19 | 49 | yml |
null | OpenOOD-main/configs/preprocessors/patchcore_preprocessor.yml | preprocessor:
name: patchcore
| 32 | 10 | 17 | yml |
null | OpenOOD-main/configs/preprocessors/pixmix_preprocessor.yml | preprocessor:
name: pixmix
preprocessor_args:
mixing_set_dir: data/benchmark_imglist/cifar10/fractals_fvis.txt
aug_severity: 3 # severity of base augmentation operators
all_ops: true # turn on all augmentation operations (+brightness,contrast,color,sharpness
k: 4 # augment the image a random nu... | 413 | 45 | 102 | yml |
null | OpenOOD-main/configs/preprocessors/randaugment_preprocessor.yml | preprocessor:
name: randaugment
n: 1
m: 14
| 49 | 9 | 19 | yml |
null | OpenOOD-main/openood/__init__.py | 0 | 0 | 0 | py | |
null | OpenOOD-main/openood/datasets/__init__.py | from .utils import get_dataloader, get_feature_dataloader, get_feature_opengan_dataloader, get_ood_dataloader
| 110 | 54.5 | 109 | py |
null | OpenOOD-main/openood/datasets/base_dataset.py | import logging
import random
import traceback
from torch.utils.data import Dataset
class BaseDataset(Dataset):
def __init__(self, pseudo_index=-1, skip_broken=False, new_index='next'):
super(BaseDataset, self).__init__()
self.pseudo_index = pseudo_index
self.skip_broken = skip_broken
... | 1,815 | 32.018182 | 79 | py |
null | OpenOOD-main/openood/datasets/feature_dataset.py | from torch.utils.data import Dataset
class FeatDataset(Dataset):
def __init__(self, feat, labels):
self.data = feat
self.labels = labels
self.len = feat.shape[0]
assert self.len == len(labels)
def __len__(self):
return self.len
def __getitem__(self, idx):
... | 421 | 22.444444 | 45 | py |
null | OpenOOD-main/openood/datasets/imglist_augmix_dataset.py | import ast
import io
import logging
import os
import torch
from PIL import Image, ImageFile
from .base_dataset import BaseDataset
# to fix "OSError: image file is truncated"
ImageFile.LOAD_TRUNCATED_IMAGES = True
class Convert:
def __init__(self, mode='RGB'):
self.mode = mode
def __call__(self, im... | 3,619 | 31.909091 | 68 | py |
null | OpenOOD-main/openood/datasets/imglist_dataset.py | import ast
import io
import logging
import os
import torch
from PIL import Image, ImageFile
from .base_dataset import BaseDataset
# to fix "OSError: image file is truncated"
ImageFile.LOAD_TRUNCATED_IMAGES = True
class Convert:
def __init__(self, mode='RGB'):
self.mode = mode
def __call__(self, im... | 3,481 | 31.542056 | 68 | py |
null | OpenOOD-main/openood/datasets/imglist_extradata_dataset.py | import ast
import io
import logging
import os
import numpy as np
import torch
from PIL import Image, ImageFile
from torch.utils.data import Sampler
from .base_dataset import BaseDataset
# to fix "OSError: image file is truncated"
ImageFile.LOAD_TRUNCATED_IMAGES = True
class Convert:
def __init__(self, mode='RG... | 6,836 | 34.795812 | 79 | py |
null | OpenOOD-main/openood/datasets/udg_dataset.py | import ast
import io
import logging
import os
import numpy as np
import torch
from PIL import Image, ImageFile
from .imglist_dataset import ImglistDataset
# to fix "OSError: image file is truncated"
ImageFile.LOAD_TRUNCATED_IMAGES = True
class UDGDataset(ImglistDataset):
def __init__(self,
nam... | 3,672 | 37.260417 | 79 | py |
null | OpenOOD-main/openood/datasets/utils.py | import os
import torch
from numpy import load
from torch.utils.data import DataLoader
from openood.preprocessors.test_preprocessor import TestStandardPreProcessor
from openood.preprocessors.utils import get_preprocessor
from openood.utils.config import Config
from .feature_dataset import FeatDataset
from .imglist_dat... | 8,240 | 42.373684 | 80 | py |
null | OpenOOD-main/openood/evaluation_api/__init__.py | from .evaluator import Evaluator
| 33 | 16 | 32 | py |
null | OpenOOD-main/openood/evaluation_api/datasets.py | import os
import gdown
import zipfile
from torch.utils.data import DataLoader
import torchvision as tvs
if tvs.__version__ >= '0.13':
tvs_new = True
else:
tvs_new = False
from openood.datasets.imglist_dataset import ImglistDataset
from openood.preprocessors import BasePreprocessor
from .preprocessor import g... | 19,019 | 36.003891 | 79 | py |
null | OpenOOD-main/openood/evaluation_api/evaluator.py | from typing import Callable, List, Type
import os
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from tqdm import tqdm
from openood.evaluators.metrics import compute_all_metrics
from openood.postprocessors import BasePostprocessor
from openood.network... | 18,100 | 39.676404 | 79 | py |
null | OpenOOD-main/openood/evaluation_api/postprocessor.py | import os
import urllib.request
from openood.postprocessors import (
ASHPostprocessor, BasePostprocessor, ConfBranchPostprocessor,
CutPastePostprocessor, DICEPostprocessor, DRAEMPostprocessor,
DropoutPostProcessor, DSVDDPostprocessor, EBOPostprocessor,
EnsemblePostprocessor, GMMPostprocessor, GodinPost... | 3,284 | 39.555556 | 97 | py |
null | OpenOOD-main/openood/evaluation_api/preprocessor.py | import torchvision.transforms as tvs_trans
from openood.preprocessors import BasePreprocessor
from openood.utils import Config
INTERPOLATION = tvs_trans.InterpolationMode.BILINEAR
default_preprocessing_dict = {
'cifar10': {
'pre_size': 32,
'img_size': 32,
'normalization': [[0.4914, 0.4822... | 2,304 | 27.8125 | 78 | py |
null | OpenOOD-main/openood/evaluators/__init__.py | from .utils import get_evaluator
| 33 | 16 | 32 | py |
null | OpenOOD-main/openood/evaluators/ad_evaluator.py | import numpy as np
import torch
from sklearn.metrics import auc, roc_curve
from openood.utils import Config
class ADEvaluator():
def __init__(self, config: Config):
self.config = config
def eval_ood(self,
net,
id_data_loader,
ood_data_loaders,
... | 1,848 | 29.816667 | 77 | py |
null | OpenOOD-main/openood/evaluators/arpl_evaluator.py | from typing import Dict
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from tqdm import tqdm
from openood.postprocessors import BasePostprocessor
from openood.utils import Config
from .ood_evaluator import OODEvaluator
class ARPLEvaluator(OODEvaluator):
def __init... | 5,048 | 35.064286 | 79 | py |
null | OpenOOD-main/openood/evaluators/base_evaluator.py | import os
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.postprocessors import BasePostprocessor
from openood.utils import Config
def to_np(x):
return x.data.cpu().... | 2,926 | 28.27 | 66 | py |
null | OpenOOD-main/openood/evaluators/ece_evaluator.py | import os
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.postprocessors import BasePostprocessor
from openood.utils import Config
from .base_evaluator import BaseEvaluato... | 3,959 | 35.330275 | 84 | py |
null | OpenOOD-main/openood/evaluators/fsood_evaluator.py | import csv
import os
from typing import Dict, List
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from openood.postprocessors import BasePostprocessor
from .ood_evaluator import OODEvaluator
class FSOODEvaluator(OODEvaluator):
def eval_csid_acc(self, net: nn.Modul... | 4,310 | 38.550459 | 79 | py |
null | OpenOOD-main/openood/evaluators/metrics.py | import numpy as np
from sklearn import metrics
def compute_all_metrics(conf, label, pred):
np.set_printoptions(precision=3)
recall = 0.95
fpr, thresh = fpr_recall(conf, label, recall)
auroc, aupr_in, aupr_out = auc(conf, label)
ccr_1 = ccr_fpr(conf, 0.1, pred, label)
ccr_2 = ccr_fpr(conf, 0.0... | 3,520 | 25.877863 | 78 | py |
null | OpenOOD-main/openood/evaluators/mos_evaluator.py | import csv
import os
from typing import Dict, List
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.postprocessors import BasePostprocessor
from openood.utils import Config... | 14,464 | 36.280928 | 79 | py |
null | OpenOOD-main/openood/evaluators/ood_evaluator.py | import csv
import os
from typing import Dict, List
import numpy as np
import torch.nn as nn
from torch.utils.data import DataLoader
from openood.postprocessors import BasePostprocessor
from openood.utils import Config
from .base_evaluator import BaseEvaluator
from .metrics import compute_all_metrics
class OODEvalu... | 11,738 | 39.064846 | 79 | py |
null | OpenOOD-main/openood/evaluators/osr_evaluator.py | from typing import Dict
import torch.nn as nn
from torch.utils.data import DataLoader
from openood.postprocessors import BasePostprocessor
from openood.utils import Config
from .ood_evaluator import OODEvaluator
class OSREvaluator(OODEvaluator):
def __init__(self, config: Config):
super(OSREvaluator, s... | 1,383 | 33.6 | 79 | py |
null | OpenOOD-main/openood/evaluators/patchcore_evaluator.py | import os
from typing import Dict
import cv2
import numpy as np
import torch
import torch.nn as nn
from PIL import Image
from scipy.ndimage import gaussian_filter
from sklearn.metrics import roc_auc_score
from torch.utils.data import DataLoader
from torchvision import transforms
from openood.postprocessors import Bas... | 4,030 | 34.991071 | 79 | py |
null | OpenOOD-main/openood/evaluators/utils.py | from openood.evaluators.mos_evaluator import MOSEvaluator
from openood.utils import Config
from .ad_evaluator import ADEvaluator
from .arpl_evaluator import ARPLEvaluator
from .base_evaluator import BaseEvaluator
from .ece_evaluator import ECEEvaluator
from .fsood_evaluator import FSOODEvaluator
from .ood_evaluator im... | 819 | 29.37037 | 57 | py |
null | OpenOOD-main/openood/losses/__init__.py | from .draem_loss import get_draem_losses
from .reweight import rew_ce, rew_sce
from .sce import soft_cross_entropy
| 115 | 28 | 40 | py |
null | OpenOOD-main/openood/losses/draem_loss.py | import torch
from .focal import FocalLoss
from .ssim import SSIM
def get_draem_losses():
losses = {
'l2': torch.nn.modules.loss.MSELoss(),
'ssim': SSIM(),
'focal': FocalLoss()
}
return losses
| 231 | 15.571429 | 46 | py |
null | OpenOOD-main/openood/losses/focal.py | import numpy as np
import torch
import torch.nn as nn
class FocalLoss(nn.Module):
def __init__(self,
apply_nonlin=None,
alpha=None,
gamma=2,
balance_index=0,
smooth=1e-5,
size_average=True):
super(FocalLo... | 2,614 | 31.6875 | 74 | py |
null | OpenOOD-main/openood/losses/kdad_losses.py | import torch
from torch import nn
class MseDirectionLoss(nn.Module):
"""Define MSE + Direction loss."""
def __init__(self, lamda):
super(MseDirectionLoss, self).__init__()
self.lamda = lamda
self.criterion = nn.MSELoss()
self.similarity_loss = torch.nn.CosineSimilarity()
d... | 2,666 | 40.671875 | 78 | py |
null | OpenOOD-main/openood/losses/rd4ad_loss.py | import torch
from torch import nn
def loss_function(a, b):
cos_loss = torch.nn.CosineSimilarity()
loss = 0
for item in range(len(a)):
loss += torch.mean(1-cos_loss(a[item].view(a[item].shape[0],-1),
b[item].view(b[item].shape[0],-1)))
return loss | 314 | 27.636364 | 73 | py |
null | OpenOOD-main/openood/losses/reweight.py | import torch
import torch.nn.functional as F
from .sce import soft_cross_entropy
def rew_ce(logits, labels, sample_weights):
losses = F.cross_entropy(logits, labels, reduction='none')
return (losses * sample_weights.type_as(losses)).mean()
def rew_sce(logits, soft_labels, sample_weights):
losses = soft... | 433 | 27.933333 | 66 | py |
null | OpenOOD-main/openood/losses/sce.py | import torch
class SoftCrossEntropyFunction(torch.autograd.Function):
@staticmethod
def forward(ctx, logit, label, weight=None):
assert logit.size() == label.size(), 'logit.size() != label.size()'
dim = logit.dim()
max_logit = logit.max(dim - 1, keepdim=True)[0]
logit = logit -... | 3,036 | 33.123596 | 77 | py |
null | OpenOOD-main/openood/losses/ssim.py | from math import exp
import torch
import torch.nn.functional as F
def gaussian(window_size, sigma):
gauss = torch.Tensor([
exp(-(x - window_size // 2)**2 / float(2 * sigma**2))
for x in range(window_size)
])
return gauss / gauss.sum()
def create_window(window_size, channel=1):
_1D_w... | 3,290 | 28.123894 | 76 | py |