├── .gitignore ├── LICENSE ├── README.md ├── anomaly_detection ├── __init__.py ├── deep_geo │ ├── LICENSE │ ├── __init__.py │ ├── datasets.py │ ├── evaluate.py │ ├── main.py │ ├── networks.py │ ├── train.py │ └── transformations.py ├── deep_if │ ├── __init__.py │ ├── feature_extractor.py │ ├── main.py │ └── train_evaluate.py ├── dpa │ ├── __init__.py │ ├── adv_losses.py │ ├── data │ │ └── vgg19_ILSVRC2012_object_detection_mean_var.pt │ ├── data_generators.py │ ├── evaluate.py │ ├── feature_extractor.py │ ├── layers.py │ ├── losses.py │ ├── main.py │ ├── optimizer.py │ ├── other_networks.py │ ├── pg_decoders.py │ ├── pg_encoders.py │ ├── pg_networks.py │ ├── pg_rec_losses.py │ ├── rec_losses.py │ └── train.py ├── piad │ ├── __init__.py │ ├── evaluate.py │ ├── latent_dis.py │ ├── latent_model.py │ ├── main.py │ ├── optimizer.py │ ├── train.py │ └── utils.py └── utils │ ├── __init__.py │ ├── datasets.py │ ├── loggers.py │ ├── preprocessing │ ├── __init__.py │ ├── create_folds │ │ ├── __init__.py │ │ ├── camelyon16.py │ │ ├── cifar10.py │ │ ├── nih.py │ │ ├── nih_subset.py │ │ └── svhn.py │ ├── nih_create_train_test_splits.py │ └── nih_resize.py │ └── transforms.py ├── camelyon16_preprocessing ├── __init__.py ├── docker │ ├── Dockerfile │ ├── attach.sh │ ├── build.sh │ ├── change_user.sh │ └── run.sh └── scripts │ ├── 10_visualize_patches.py │ ├── 1_convert_annotation_to_json.py │ ├── 2_create_tumor_masks.py │ ├── 3_generate_normal_patches_x40.py │ ├── 4_generate_tumor_patches_x40.py │ ├── 5_select_stain_normalization_image.py │ ├── 6_normalize_stain.py │ ├── 7_create_train_test_split.py │ ├── 8_merge_images.py │ ├── 9_resize_to_x20_and_x10.py │ ├── __init__.py │ ├── stain_normalization │ ├── __init__.py │ ├── normalizer.py │ └── utils.py │ └── utils.py ├── configs ├── deep_geo │ ├── camelyon16 │ │ ├── final │ │ │ ├── reproduce │ │ │ │ └── class_healthy │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ └── with_cv │ │ │ │ └── class_healthy │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── meta │ │ │ ├── meta_cv_eval.yaml │ │ │ ├── meta_cv_train.yaml │ │ │ └── meta_reproduce.yaml │ ├── cifar10 │ │ ├── final │ │ │ ├── reproduce │ │ │ │ ├── class_0 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_1 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_2 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_3 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_4 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_5 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_6 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_7 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_8 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_9 │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ └── with_cv │ │ │ │ ├── class_0 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_1 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_2 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_3 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_4 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_5 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_6 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_7 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_8 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_9 │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── meta │ │ │ ├── meta_cv_eval.yaml │ │ │ ├── meta_cv_train.yaml │ │ │ └── meta_reproduce.yaml │ ├── eval_example.yaml │ ├── nih │ │ ├── final │ │ │ ├── reproduce │ │ │ │ ├── class_AP │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_PA │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_subset │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ └── with_cv │ │ │ │ ├── class_AP │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_PA │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_subset │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── meta │ │ │ ├── meta_cv_eval.yaml │ │ │ ├── meta_cv_train.yaml │ │ │ └── meta_reproduce.yaml │ ├── svhn │ │ ├── final │ │ │ ├── reproduce │ │ │ │ ├── class_0 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_1 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_2 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_3 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_4 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_5 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_6 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_7 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_8 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_9 │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ └── with_cv │ │ │ │ ├── class_0 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_1 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_2 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_3 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_4 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_5 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_6 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_7 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_8 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_9 │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── meta │ │ │ ├── meta_cv_eval.yaml │ │ │ ├── meta_cv_train.yaml │ │ │ └── meta_reproduce.yaml │ └── train_example.yaml ├── deep_if │ ├── camelyon16 │ │ ├── final │ │ │ ├── reproduce │ │ │ │ └── class_healthy │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ └── with_cv │ │ │ │ └── class_healthy │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── meta │ │ │ ├── meta_cv.yaml │ │ │ └── meta_reproduce.yaml │ ├── cifar10 │ │ ├── final │ │ │ ├── reproduce │ │ │ │ ├── class_0 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_1 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_2 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_3 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_4 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_5 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_6 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_7 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_8 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_9 │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ └── with_cv │ │ │ │ ├── class_0 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_1 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_2 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_3 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_4 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_5 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_6 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_7 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_8 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_9 │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── meta │ │ │ ├── meta_cv.yaml │ │ │ └── meta_reproduce.yaml │ ├── nih │ │ ├── final │ │ │ ├── reproduce │ │ │ │ ├── class_AP │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_PA │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_subset │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ └── with_cv │ │ │ │ ├── class_AP │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_PA │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_subset │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── meta │ │ │ ├── meta_cv.yaml │ │ │ └── meta_reproduce.yaml │ ├── svhn │ │ ├── final │ │ │ ├── reproduce │ │ │ │ ├── class_0 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_1 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_2 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_3 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_4 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_5 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_6 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_7 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_8 │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_9 │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ └── with_cv │ │ │ │ ├── class_0 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_1 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_2 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_3 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_4 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_5 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_6 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_7 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_8 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_9 │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── meta │ │ │ ├── meta_cv.yaml │ │ │ └── meta_reproduce.yaml │ └── train_eval_example.yaml ├── dpa │ ├── camelyon16 │ │ ├── final │ │ │ ├── pg │ │ │ │ └── class_healthy │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── wo_pg │ │ │ │ └── class_healthy │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── wo_pg_L1_unsupervised │ │ │ │ └── class_healthy │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── wo_pg_unsupervised │ │ │ │ └── class_healthy │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── wo_pg_with_L1 │ │ │ │ ├── weight_0.100 │ │ │ │ │ └── class_healthy │ │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── weight_1.000 │ │ │ │ │ └── class_healthy │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── wo_pg_with_adversarial │ │ │ │ ├── weight_0.100 │ │ │ │ │ └── class_healthy │ │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── weight_1.000 │ │ │ │ │ └── class_healthy │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ └── wo_pg_with_adversarial_L1 │ │ │ │ ├── weight_0.100 │ │ │ │ └── class_healthy │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── weight_1.000 │ │ │ │ └── class_healthy │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── meta │ │ │ ├── meta_pg_train_eval.yaml │ │ │ └── meta_wo_pg_train_eval.yaml │ ├── cifar10 │ │ ├── final │ │ │ └── wo_pg │ │ │ │ ├── class_0 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_1 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_2 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_3 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_4 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_5 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_6 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_7 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_8 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_9 │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── meta │ │ │ └── meta_train_eval.yaml │ ├── eval_pg_example.yaml │ ├── eval_wo_pg_example.yaml │ ├── nih │ │ ├── final │ │ │ ├── pg │ │ │ │ ├── class_AP │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_PA │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_subset │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── wo_pg │ │ │ │ ├── class_AP │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_PA │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_subset │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── wo_pg_L1_unsupervised │ │ │ │ ├── class_AP │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_PA │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_subset │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── wo_pg_unsupervised │ │ │ │ ├── class_AP │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_PA │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_subset │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── wo_pg_with_L1 │ │ │ │ ├── weight_0.100 │ │ │ │ │ ├── class_AP │ │ │ │ │ │ ├── run_0 │ │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ ├── run_1 │ │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ └── run_2 │ │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── class_PA │ │ │ │ │ │ ├── run_0 │ │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ ├── run_1 │ │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ └── run_2 │ │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── class_subset │ │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── weight_1.000 │ │ │ │ │ ├── class_AP │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── class_PA │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── class_subset │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── wo_pg_with_adversarial │ │ │ │ ├── weight_0.100 │ │ │ │ │ ├── class_AP │ │ │ │ │ │ ├── run_0 │ │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ ├── run_1 │ │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ └── run_2 │ │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── class_PA │ │ │ │ │ │ ├── run_0 │ │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ ├── run_1 │ │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ └── run_2 │ │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── class_subset │ │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── weight_1.000 │ │ │ │ │ ├── class_AP │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── class_PA │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── class_subset │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ └── wo_pg_with_adversarial_L1 │ │ │ │ ├── weight_0.100 │ │ │ │ ├── class_AP │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_PA │ │ │ │ │ ├── run_0 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_subset │ │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── weight_1.000 │ │ │ │ ├── class_AP │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_PA │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_subset │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── meta │ │ │ ├── meta_pg_train_eval.yaml │ │ │ └── meta_wo_pg_train_eval.yaml │ ├── svhn │ │ ├── final │ │ │ └── wo_pg │ │ │ │ ├── class_0 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_1 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_2 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_3 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_4 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_5 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_6 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_7 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── class_8 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── class_9 │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── meta │ │ │ └── meta_train_eval.yaml │ ├── train_pg_example.yaml │ └── train_wo_pg_example.yaml └── piad │ ├── camelyon16 │ ├── final │ │ ├── reproduce │ │ │ └── class_healthy │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── with_cv │ │ │ └── class_healthy │ │ │ ├── run_0 │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ └── train_eval.yaml │ └── meta │ │ ├── meta_cv_eval.yaml │ │ ├── meta_cv_train.yaml │ │ └── meta_reproduce.yaml │ ├── cifar10 │ ├── final │ │ ├── reproduce │ │ │ ├── class_0 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_1 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_2 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_3 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_4 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_5 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_6 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_7 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_8 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ └── class_9 │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── with_cv │ │ │ ├── class_0 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_1 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_2 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_3 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_4 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_5 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_6 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_7 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_8 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ └── class_9 │ │ │ ├── run_0 │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ └── train_eval.yaml │ └── meta │ │ ├── meta_cv_eval.yaml │ │ ├── meta_cv_train.yaml │ │ └── meta_reproduce.yaml │ ├── eval_example.yaml │ ├── nih │ ├── final │ │ ├── reproduce │ │ │ ├── class_AP │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_PA │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ └── class_subset │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── with_cv │ │ │ ├── class_AP │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_PA │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ └── class_subset │ │ │ ├── run_0 │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ └── train_eval.yaml │ └── meta │ │ ├── meta_cv_eval.yaml │ │ ├── meta_cv_train.yaml │ │ └── meta_reproduce.yaml │ ├── svhn │ ├── final │ │ ├── reproduce │ │ │ ├── class_0 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_1 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_2 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_3 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_4 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_5 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_6 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_7 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ ├── class_8 │ │ │ │ ├── run_0 │ │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ │ └── train_eval.yaml │ │ │ └── class_9 │ │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ └── with_cv │ │ │ ├── class_0 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_1 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_2 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_3 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_4 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_5 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_6 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_7 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ ├── class_8 │ │ │ ├── run_0 │ │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ │ └── train_eval.yaml │ │ │ └── class_9 │ │ │ ├── run_0 │ │ │ └── train_eval.yaml │ │ │ ├── run_1 │ │ │ └── train_eval.yaml │ │ │ └── run_2 │ │ │ └── train_eval.yaml │ └── meta │ │ ├── meta_cv_eval.yaml │ │ ├── meta_cv_train.yaml │ │ └── meta_reproduce.yaml │ └── train_example.yaml ├── folds ├── folds │ ├── camelyon16 │ │ └── healthy │ │ │ ├── 0 │ │ │ ├── anomaly │ │ │ │ ├── .ipynb_checkpoints │ │ │ │ │ └── test-checkpoint │ │ │ │ └── test │ │ │ └── normal │ │ │ │ ├── test │ │ │ │ ├── train │ │ │ │ └── val │ │ │ ├── 1 │ │ │ ├── anomaly │ │ │ │ ├── .ipynb_checkpoints │ │ │ │ │ └── test-checkpoint │ │ │ │ └── test │ │ │ └── normal │ │ │ │ ├── test │ │ │ │ ├── train │ │ │ │ └── val │ │ │ └── 2 │ │ │ ├── anomaly │ │ │ ├── .ipynb_checkpoints │ │ │ │ └── test-checkpoint │ │ │ └── test │ │ │ └── normal │ │ │ ├── test │ │ │ ├── train │ │ │ └── val │ ├── cifar10 │ │ ├── 0 │ │ │ ├── 0 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ ├── 1 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ └── 2 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ ├── 1 │ │ │ ├── 0 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ ├── 1 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ └── 2 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ ├── 2 │ │ │ ├── 0 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ ├── 1 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ └── 2 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ ├── 3 │ │ │ ├── 0 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ ├── 1 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ └── 2 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ ├── 4 │ │ │ ├── 0 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ ├── 1 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ └── 2 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ ├── 5 │ │ │ ├── 0 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ ├── 1 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ └── 2 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ ├── 6 │ │ │ ├── 0 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ ├── 1 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ └── 2 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ ├── 7 │ │ │ ├── 0 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ ├── 1 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ └── 2 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ ├── 8 │ │ │ ├── 0 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ ├── 1 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ │ └── 2 │ │ │ │ ├── test_anomaly.npy │ │ │ │ ├── test_normal.npy │ │ │ │ ├── train.npy │ │ │ │ └── val.npy │ │ └── 9 │ │ │ ├── 0 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ │ ├── 1 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ │ └── 2 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ ├── nih │ │ ├── AP │ │ │ ├── 0 │ │ │ │ ├── anomaly │ │ │ │ │ ├── .ipynb_checkpoints │ │ │ │ │ │ └── test-checkpoint │ │ │ │ │ └── test │ │ │ │ └── normal │ │ │ │ │ ├── .ipynb_checkpoints │ │ │ │ │ └── train-checkpoint │ │ │ │ │ ├── test │ │ │ │ │ ├── train │ │ │ │ │ └── val │ │ │ ├── 1 │ │ │ │ ├── anomaly │ │ │ │ │ └── test │ │ │ │ └── normal │ │ │ │ │ ├── test │ │ │ │ │ ├── train │ │ │ │ │ └── val │ │ │ └── 2 │ │ │ │ ├── anomaly │ │ │ │ └── test │ │ │ │ └── normal │ │ │ │ ├── test │ │ │ │ ├── train │ │ │ │ └── val │ │ ├── PA │ │ │ ├── 0 │ │ │ │ ├── anomaly │ │ │ │ │ ├── .ipynb_checkpoints │ │ │ │ │ │ └── test-checkpoint │ │ │ │ │ └── test │ │ │ │ └── normal │ │ │ │ │ ├── test │ │ │ │ │ ├── train │ │ │ │ │ └── val │ │ │ ├── 1 │ │ │ │ ├── anomaly │ │ │ │ │ └── test │ │ │ │ └── normal │ │ │ │ │ ├── test │ │ │ │ │ ├── train │ │ │ │ │ └── val │ │ │ └── 2 │ │ │ │ ├── anomaly │ │ │ │ └── test │ │ │ │ └── normal │ │ │ │ ├── test │ │ │ │ ├── train │ │ │ │ └── val │ │ └── subset │ │ │ ├── 0 │ │ │ ├── anomaly │ │ │ │ └── test │ │ │ └── normal │ │ │ │ ├── test │ │ │ │ ├── train │ │ │ │ └── val │ │ │ ├── 1 │ │ │ ├── anomaly │ │ │ │ └── test │ │ │ └── normal │ │ │ │ ├── test │ │ │ │ ├── train │ │ │ │ └── val │ │ │ └── 2 │ │ │ ├── anomaly │ │ │ └── test │ │ │ └── normal │ │ │ ├── test │ │ │ ├── train │ │ │ └── val │ └── svhn │ │ ├── 0 │ │ ├── 0 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 1 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ └── 2 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 1 │ │ ├── 0 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 1 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ └── 2 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 2 │ │ ├── 0 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 1 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ └── 2 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 3 │ │ ├── 0 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 1 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ └── 2 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 4 │ │ ├── 0 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 1 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ └── 2 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 5 │ │ ├── 0 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 1 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ └── 2 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 6 │ │ ├── 0 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 1 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ └── 2 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 7 │ │ ├── 0 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 1 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ └── 2 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 8 │ │ ├── 0 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ ├── 1 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ └── 2 │ │ │ ├── test_anomaly.npy │ │ │ ├── test_normal.npy │ │ │ ├── train.npy │ │ │ └── val.npy │ │ └── 9 │ │ ├── 0 │ │ ├── test_anomaly.npy │ │ ├── test_normal.npy │ │ ├── train.npy │ │ └── val.npy │ │ ├── 1 │ │ ├── test_anomaly.npy │ │ ├── test_normal.npy │ │ ├── train.npy │ │ └── val.npy │ │ └── 2 │ │ ├── test_anomaly.npy │ │ ├── test_normal.npy │ │ ├── train.npy │ │ └── val.npy ├── train_test_split │ ├── camelyon16 │ │ └── healthy │ │ │ ├── anomaly │ │ │ ├── test │ │ │ └── train │ │ │ └── normal │ │ │ ├── test │ │ │ └── train │ └── nih │ │ ├── AP │ │ ├── anomaly │ │ │ └── test │ │ └── normal │ │ │ ├── test │ │ │ └── train │ │ ├── PA │ │ ├── anomaly │ │ │ └── test │ │ └── normal │ │ │ ├── test │ │ │ └── train │ │ └── subset │ │ ├── anomaly │ │ └── test │ │ └── normal │ │ ├── test │ │ └── train └── validation_classes │ ├── camelyon16.csv │ ├── cifar10.csv │ ├── nih.csv │ └── svhn.csv ├── requirements.txt ├── run_experiments.py └── setup.py /.gitignore: -------------------------------------------------------------------------------- 1 | .idea/ 2 | -------------------------------------------------------------------------------- /anomaly_detection/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/anomaly_detection/__init__.py -------------------------------------------------------------------------------- /anomaly_detection/deep_geo/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/anomaly_detection/deep_geo/__init__.py -------------------------------------------------------------------------------- /anomaly_detection/deep_if/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/anomaly_detection/deep_if/__init__.py -------------------------------------------------------------------------------- /anomaly_detection/deep_if/main.py: -------------------------------------------------------------------------------- 1 | import argparse 2 | import yaml 3 | 4 | from anomaly_detection.deep_if.train_evaluate import train_evaluate 5 | 6 | 7 | def main(): 8 | parser = argparse.ArgumentParser() 9 | parser.add_argument('action', type=str, choices=['train_eval']) 10 | parser.add_argument('config', type=str, help='Config paths') 11 | args = parser.parse_args() 12 | 13 | with open(args.config, 'r') as stream: 14 | config = yaml.load(stream, Loader=yaml.FullLoader) 15 | 16 | train_evaluate(config) 17 | 18 | 19 | if __name__ == '__main__': 20 | main() 21 | -------------------------------------------------------------------------------- /anomaly_detection/dpa/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/anomaly_detection/dpa/__init__.py -------------------------------------------------------------------------------- /anomaly_detection/dpa/data/vgg19_ILSVRC2012_object_detection_mean_var.pt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/anomaly_detection/dpa/data/vgg19_ILSVRC2012_object_detection_mean_var.pt -------------------------------------------------------------------------------- /anomaly_detection/dpa/other_networks.py: -------------------------------------------------------------------------------- 1 | from anomaly_detection.dpa.pg_networks import ProgGrowNetworks, AbstractNetwork 2 | 3 | 4 | class FakeNetwork(AbstractNetwork): 5 | def __init__(self): 6 | super().__init__(None) 7 | 8 | def get_progress(self): 9 | return None 10 | 11 | def set_progress(self, progress): 12 | pass 13 | 14 | def forward(self, x): 15 | return None 16 | 17 | 18 | class FakeProgGrowNetworks(ProgGrowNetworks): 19 | def __init__(self): 20 | super(FakeProgGrowNetworks, self).__init__() 21 | 22 | def get_net(self, stage, resolution): 23 | return FakeNetwork() 24 | -------------------------------------------------------------------------------- /anomaly_detection/piad/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/anomaly_detection/piad/__init__.py -------------------------------------------------------------------------------- /anomaly_detection/piad/latent_model.py: -------------------------------------------------------------------------------- 1 | import torch 2 | 3 | 4 | class LatentModel(torch.nn.Module): 5 | def __init__(self, latent_res, latent_dim): 6 | super(LatentModel, self).__init__() 7 | self.latent_res = latent_res 8 | self.latent_dim = latent_dim 9 | 10 | def sample(self, batch_size): 11 | z = torch.Tensor(torch.Size((batch_size, 12 | self.latent_dim, 13 | self.latent_res, 14 | self.latent_res))).normal_() 15 | return z 16 | -------------------------------------------------------------------------------- /anomaly_detection/utils/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/anomaly_detection/utils/__init__.py -------------------------------------------------------------------------------- /anomaly_detection/utils/preprocessing/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/anomaly_detection/utils/preprocessing/__init__.py -------------------------------------------------------------------------------- /anomaly_detection/utils/preprocessing/create_folds/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/anomaly_detection/utils/preprocessing/create_folds/__init__.py -------------------------------------------------------------------------------- /camelyon16_preprocessing/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/camelyon16_preprocessing/__init__.py -------------------------------------------------------------------------------- /camelyon16_preprocessing/docker/attach.sh: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env bash 2 | 3 | docker exec -it --user user camelyon16 bash -------------------------------------------------------------------------------- /camelyon16_preprocessing/docker/build.sh: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env bash 2 | 3 | docker build -t camelyon16 . 4 | -------------------------------------------------------------------------------- /camelyon16_preprocessing/docker/change_user.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | sudo groupadd -g $GID user1 4 | sudo usermod -g $GID user 5 | sudo usermod -u $UID user 6 | 7 | su - user -------------------------------------------------------------------------------- /camelyon16_preprocessing/docker/run.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash -x 2 | 3 | docker run --gpus all -it --rm \ 4 | --shm-size 4G \ 5 | -e "UID=$(id -u)" \ 6 | -e "GID=$(id -g)" \ 7 | -v "absolute path to ./data/data/camelyon16_original":/data/camelyon16_original \ 8 | -v "absolute path to ./data/data/camelyon16":/data/camelyon16 \ 9 | -v "absolute path to ./camelyon16_preprocessing/scripts":/scripts \ 10 | --name camelyon16 \ 11 | camelyon16 12 | -------------------------------------------------------------------------------- /camelyon16_preprocessing/scripts/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/camelyon16_preprocessing/scripts/__init__.py -------------------------------------------------------------------------------- /camelyon16_preprocessing/scripts/stain_normalization/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/camelyon16_preprocessing/scripts/stain_normalization/__init__.py -------------------------------------------------------------------------------- /configs/deep_geo/camelyon16/meta/meta_cv_eval.yaml: -------------------------------------------------------------------------------- 1 | #results_root: ./data/results/deep_geo/cifar/repeat_exp/0 2 | #test_checkpoint_path: ./data/checkpoint/deep_geo/cifar/repeat_exp/0/checkpoint.h5 3 | 4 | test_batch_size: 128 5 | 6 | test_datasets: 7 | normal: 8 | dataset_type: camelyon16 9 | dataset_kwargs: 10 | # image_root: ./data/data/nih_300/ 11 | split: test 12 | # split_root: ./folds/train_test_split/nih/normal 13 | transform_kwargs: 14 | # crop_size: 224 15 | # resize: 64 16 | # equalize_hist: False 17 | 18 | anomaly: 19 | dataset_type: camelyon16 20 | dataset_kwargs: 21 | # image_root: ./data/data/nih_300/ 22 | split: test 23 | # split_root: ./folds/train_test_split/nih/anomaly 24 | transform_kwargs: 25 | # crop_size: 224 26 | # resize: 64 27 | # equalize_hist: False 28 | 29 | -------------------------------------------------------------------------------- /configs/deep_geo/camelyon16/meta/meta_cv_train.yaml: -------------------------------------------------------------------------------- 1 | #checkpoint_root: ./data/checkpoint/deep_geo/cifar/repeat_exp/0 2 | 3 | #random_seed: 123 4 | 5 | batch_size: 128 6 | epochs: 10 7 | checkpoint_callback: 8 | save_best_only: False 9 | monitor: 'val_acc' 10 | verbose: 1 11 | period: 1 12 | 13 | early_stopping_callback: 14 | min_delta: 0.001 15 | patience: 1 16 | 17 | train_dataset: 18 | dataset_type: camelyon16 19 | dataset_kwargs: 20 | # image_root: ./data/data/nih_300/ 21 | split: train 22 | # split_root: ./folds/train_test_split/nih/normal 23 | transform_kwargs: 24 | # crop_size: 224 25 | # resize: 64 26 | # equalize_hist: False 27 | 28 | val_dataset: 29 | dataset_type: camelyon16 30 | dataset_kwargs: 31 | # image_root: ./data/data/nih_300/ 32 | split: val 33 | # split_root: ./folds/train_test_split/nih/normal 34 | transform_kwargs: 35 | # crop_size: 224 36 | # resize: 64 37 | # equalize_hist: False -------------------------------------------------------------------------------- /configs/deep_geo/cifar10/meta/meta_cv_eval.yaml: -------------------------------------------------------------------------------- 1 | #results_root: ./data/results/deep_geo/cifar/repeat_exp/0 2 | #test_checkpoint_path: ./data/checkpoint/deep_geo/cifar/repeat_exp/0/checkpoint.h5 3 | 4 | test_batch_size: 1024 5 | 6 | train_dataset: 7 | dataset_type: cifar10 8 | dataset_kwargs: 9 | root: ./data/data/cifar10 10 | # target_classes: [0] 11 | # split: train 12 | transform_kwargs: {} 13 | 14 | test_datasets: 15 | normal: 16 | dataset_type: cifar10 17 | dataset_kwargs: 18 | root: ./data/data/cifar10 19 | # target_classes: [0] 20 | # split: test 21 | transform_kwargs: {} 22 | anomaly: 23 | dataset_type: cifar10 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | # target_classes: [1, 2, 3, 4, 5, 6, 7, 8, 9] 27 | # split: test 28 | transform_kwargs: {} 29 | 30 | -------------------------------------------------------------------------------- /configs/deep_geo/cifar10/meta/meta_cv_train.yaml: -------------------------------------------------------------------------------- 1 | #checkpoint_root: ./data/checkpoint/deep_geo/cifar/repeat_exp/0 2 | 3 | #random_seed: 123 4 | 5 | batch_size: 128 6 | epochs: 100 7 | checkpoint_callback: 8 | save_best_only: False 9 | monitor: 'val_acc' 10 | verbose: 1 11 | period: 1 12 | 13 | early_stopping_callback: 14 | min_delta: 0.001 15 | patience: 3 16 | 17 | train_dataset: 18 | dataset_type: cifar10 19 | dataset_kwargs: 20 | root: ./data/data/cifar10 21 | # target_classes: [0] 22 | # split: train 23 | transform_kwargs: {} 24 | 25 | val_dataset: 26 | dataset_type: cifar10 27 | dataset_kwargs: 28 | root: ./data/data/cifar10 29 | # target_classes: [0] 30 | # split: train 31 | transform_kwargs: {} -------------------------------------------------------------------------------- /configs/deep_geo/cifar10/meta/meta_reproduce.yaml: -------------------------------------------------------------------------------- 1 | #checkpoint_root: ./data/checkpoint/deep_geo/cifar/repeat_exp/0 2 | 3 | #random_seed: 123 4 | 5 | batch_size: 128 6 | epochs: 3 7 | checkpoint_callback: null 8 | early_stopping_callback: null 9 | 10 | train_dataset: 11 | dataset_type: cifar10 12 | dataset_kwargs: 13 | root: ./data/data/cifar10 14 | # target_classes: [0] 15 | split: train 16 | transform_kwargs: {} 17 | 18 | val_dataset: 19 | 20 | 21 | #results_root: ./data/results/deep_geo/cifar/repeat_exp/0 22 | #test_checkpoint_path: ./data/checkpoint/deep_geo/cifar/repeat_exp/0/checkpoint.h5 23 | 24 | test_batch_size: 1024 25 | 26 | test_datasets: 27 | normal: 28 | dataset_type: cifar10 29 | dataset_kwargs: 30 | root: ./data/data/cifar10 31 | # target_classes: [0] 32 | split: test 33 | transform_kwargs: {} 34 | anomaly: 35 | dataset_type: cifar10 36 | dataset_kwargs: 37 | root: ./data/data/cifar10 38 | # target_classes: [1, 2, 3, 4, 5, 6, 7, 8, 9] 39 | split: test 40 | transform_kwargs: {} 41 | 42 | -------------------------------------------------------------------------------- /configs/deep_geo/nih/meta/meta_cv_eval.yaml: -------------------------------------------------------------------------------- 1 | #results_root: ./data/results/deep_geo/cifar/repeat_exp/0 2 | #test_checkpoint_path: ./data/checkpoint/deep_geo/cifar/repeat_exp/0/checkpoint.h5 3 | 4 | test_batch_size: 128 5 | 6 | test_datasets: 7 | normal: 8 | dataset_type: nih 9 | dataset_kwargs: 10 | image_root: ./data/data/nih_300/ 11 | split: test 12 | # split_root: ./folds/train_test_split/nih/normal 13 | transform_kwargs: 14 | # crop_size: 224 15 | # resize: 64 16 | # equalize_hist: False 17 | 18 | anomaly: 19 | dataset_type: nih 20 | dataset_kwargs: 21 | image_root: ./data/data/nih_300/ 22 | split: test 23 | # split_root: ./folds/train_test_split/nih/anomaly 24 | transform_kwargs: 25 | # crop_size: 224 26 | # resize: 64 27 | # equalize_hist: False 28 | 29 | -------------------------------------------------------------------------------- /configs/deep_geo/nih/meta/meta_cv_train.yaml: -------------------------------------------------------------------------------- 1 | #checkpoint_root: ./data/checkpoint/deep_geo/cifar/repeat_exp/0 2 | 3 | #random_seed: 123 4 | 5 | batch_size: 128 6 | epochs: 20 7 | checkpoint_callback: 8 | save_best_only: False 9 | monitor: 'val_acc' 10 | verbose: 1 11 | period: 1 12 | 13 | early_stopping_callback: 14 | min_delta: 0.001 15 | patience: 1 16 | 17 | train_dataset: 18 | dataset_type: nih 19 | dataset_kwargs: 20 | image_root: ./data/data/nih_300/ 21 | split: train 22 | # split_root: ./folds/train_test_split/nih/normal 23 | transform_kwargs: 24 | # crop_size: 224 25 | # resize: 64 26 | # equalize_hist: False 27 | 28 | val_dataset: 29 | dataset_type: nih 30 | dataset_kwargs: 31 | image_root: ./data/data/nih_300/ 32 | split: val 33 | # split_root: ./folds/train_test_split/nih/normal 34 | transform_kwargs: 35 | # crop_size: 224 36 | # resize: 64 37 | # equalize_hist: False -------------------------------------------------------------------------------- /configs/deep_geo/svhn/meta/meta_cv_eval.yaml: -------------------------------------------------------------------------------- 1 | #results_root: ./data/results/deep_geo/cifar/repeat_exp/0 2 | #test_checkpoint_path: ./data/checkpoint/deep_geo/cifar/repeat_exp/0/checkpoint.h5 3 | 4 | test_batch_size: 1024 5 | 6 | train_dataset: 7 | dataset_type: svhn 8 | dataset_kwargs: 9 | root: ./data/data/svhn 10 | # target_classes: [0] 11 | # split: train 12 | transform_kwargs: {} 13 | 14 | test_datasets: 15 | normal: 16 | dataset_type: svhn 17 | dataset_kwargs: 18 | root: ./data/data/svhn 19 | # target_classes: [0] 20 | # split: test 21 | transform_kwargs: {} 22 | anomaly: 23 | dataset_type: svhn 24 | dataset_kwargs: 25 | root: ./data/data/svhn 26 | # target_classes: [1, 2, 3, 4, 5, 6, 7, 8, 9] 27 | # split: test 28 | transform_kwargs: {} 29 | 30 | -------------------------------------------------------------------------------- /configs/deep_geo/svhn/meta/meta_cv_train.yaml: -------------------------------------------------------------------------------- 1 | #checkpoint_root: ./data/checkpoint/deep_geo/cifar/repeat_exp/0 2 | 3 | #random_seed: 123 4 | 5 | batch_size: 128 6 | epochs: 100 7 | checkpoint_callback: 8 | save_best_only: False 9 | monitor: 'val_acc' 10 | verbose: 1 11 | period: 1 12 | 13 | early_stopping_callback: 14 | min_delta: 0.001 15 | patience: 3 16 | 17 | train_dataset: 18 | dataset_type: svhn 19 | dataset_kwargs: 20 | root: ./data/data/svhn 21 | # target_classes: [0] 22 | # split: train 23 | transform_kwargs: {} 24 | 25 | val_dataset: 26 | dataset_type: svhn 27 | dataset_kwargs: 28 | root: ./data/data/svhn 29 | # target_classes: [0] 30 | # split: train 31 | transform_kwargs: {} -------------------------------------------------------------------------------- /configs/deep_geo/svhn/meta/meta_reproduce.yaml: -------------------------------------------------------------------------------- 1 | #checkpoint_root: ./data/checkpoint/deep_geo/cifar/repeat_exp/0 2 | 3 | #random_seed: 123 4 | 5 | batch_size: 128 6 | epochs: 3 7 | checkpoint_callback: 8 | early_stopping_callback: 9 | 10 | train_dataset: 11 | dataset_type: svhn 12 | dataset_kwargs: 13 | root: ./data/data/svhn 14 | # target_classes: [0] 15 | split: train 16 | transform_kwargs: {} 17 | 18 | val_dataset: 19 | 20 | 21 | #results_root: ./data/results/deep_geo/cifar/repeat_exp/0 22 | #test_checkpoint_path: ./data/checkpoint/deep_geo/cifar/repeat_exp/0/checkpoint.h5 23 | 24 | test_batch_size: 1024 25 | 26 | test_datasets: 27 | normal: 28 | dataset_type: svhn 29 | dataset_kwargs: 30 | root: ./data/data/svhn 31 | # target_classes: [0] 32 | split: test 33 | transform_kwargs: {} 34 | anomaly: 35 | dataset_type: svhn 36 | dataset_kwargs: 37 | root: ./data/data/svhn 38 | # target_classes: [1, 2, 3, 4, 5, 6, 7, 8, 9] 39 | split: test 40 | transform_kwargs: {} 41 | 42 | -------------------------------------------------------------------------------- /configs/deep_geo/train_example.yaml: -------------------------------------------------------------------------------- 1 | # Dir to store checkpoints 2 | checkpoint_root: "./data/checkpoint/deep_geo/example/" 3 | 4 | # Fix random initialization 5 | random_seed: 4050 6 | 7 | # Train parameters 8 | batch_size: 128 9 | epochs: 3 10 | checkpoint_callback: null 11 | early_stopping_callback: null 12 | 13 | # Parameters of train dataset 14 | train_dataset: 15 | # choose type [cifar10, svhn, camelyon16, nih] 16 | dataset_type: cifar10 17 | 18 | # specify kwargs, see more details in anomaly_detection/utils/datasets.py 19 | dataset_kwargs: 20 | split: train 21 | root: "./data/data/cifar10" 22 | target_classes: [0] 23 | 24 | # specify transform kwargs, see more details in anomaly_detection/utils/transforms.py 25 | transform_kwargs: {} 26 | 27 | # Parameters of validation dataset 28 | val_dataset: null 29 | -------------------------------------------------------------------------------- /configs/deep_if/camelyon16/final/reproduce/class_healthy/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 5254 4 | results_root: ./data/results/deep_if/camelyon16/final/reproduce/class_healthy/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | image_root: ./data/data/camelyon16/x10 9 | split: test 10 | split_root: ./folds/train_test_split/camelyon16/healthy/anomaly/ 11 | dataset_type: camelyon16 12 | transform_kwargs: 13 | crop_size: 64 14 | normal: 15 | dataset_kwargs: 16 | image_root: ./data/data/camelyon16/x10 17 | split: test 18 | split_root: ./folds/train_test_split/camelyon16/healthy/normal/ 19 | dataset_type: camelyon16 20 | transform_kwargs: 21 | crop_size: 64 22 | train_dataset: 23 | dataset_kwargs: 24 | cache_data: true 25 | image_root: ./data/data/camelyon16/x10 26 | split: train 27 | split_root: ./folds/train_test_split/camelyon16/healthy/normal/ 28 | dataset_type: camelyon16 29 | transform_kwargs: 30 | crop_size: 64 31 | -------------------------------------------------------------------------------- /configs/deep_if/camelyon16/final/reproduce/class_healthy/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 7978 4 | results_root: ./data/results/deep_if/camelyon16/final/reproduce/class_healthy/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | image_root: ./data/data/camelyon16/x10 9 | split: test 10 | split_root: ./folds/train_test_split/camelyon16/healthy/anomaly/ 11 | dataset_type: camelyon16 12 | transform_kwargs: 13 | crop_size: 64 14 | normal: 15 | dataset_kwargs: 16 | image_root: ./data/data/camelyon16/x10 17 | split: test 18 | split_root: ./folds/train_test_split/camelyon16/healthy/normal/ 19 | dataset_type: camelyon16 20 | transform_kwargs: 21 | crop_size: 64 22 | train_dataset: 23 | dataset_kwargs: 24 | cache_data: true 25 | image_root: ./data/data/camelyon16/x10 26 | split: train 27 | split_root: ./folds/train_test_split/camelyon16/healthy/normal/ 28 | dataset_type: camelyon16 29 | transform_kwargs: 30 | crop_size: 64 31 | -------------------------------------------------------------------------------- /configs/deep_if/camelyon16/final/reproduce/class_healthy/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 258 4 | results_root: ./data/results/deep_if/camelyon16/final/reproduce/class_healthy/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | image_root: ./data/data/camelyon16/x10 9 | split: test 10 | split_root: ./folds/train_test_split/camelyon16/healthy/anomaly/ 11 | dataset_type: camelyon16 12 | transform_kwargs: 13 | crop_size: 64 14 | normal: 15 | dataset_kwargs: 16 | image_root: ./data/data/camelyon16/x10 17 | split: test 18 | split_root: ./folds/train_test_split/camelyon16/healthy/normal/ 19 | dataset_type: camelyon16 20 | transform_kwargs: 21 | crop_size: 64 22 | train_dataset: 23 | dataset_kwargs: 24 | image_root: ./data/data/camelyon16/x10 25 | split: train 26 | split_root: ./folds/train_test_split/camelyon16/healthy/normal/ 27 | dataset_type: camelyon16 28 | transform_kwargs: 29 | crop_size: 64 30 | -------------------------------------------------------------------------------- /configs/deep_if/camelyon16/final/with_cv/class_healthy/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: conv2d_7b 3 | random_seed: 9662 4 | results_root: ./data/results/deep_if/camelyon16/final/with_cv/class_healthy/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | image_root: ./data/data/camelyon16/x40 9 | split: test 10 | split_root: ./folds/train_test_split/camelyon16/healthy/anomaly/ 11 | dataset_type: camelyon16 12 | transform_kwargs: 13 | crop_size: 256 14 | normal: 15 | dataset_kwargs: 16 | image_root: ./data/data/camelyon16/x40 17 | split: test 18 | split_root: ./folds/train_test_split/camelyon16/healthy/normal/ 19 | dataset_type: camelyon16 20 | transform_kwargs: 21 | crop_size: 256 22 | train_dataset: 23 | dataset_kwargs: 24 | image_root: ./data/data/camelyon16/x40 25 | split: train 26 | split_root: ./folds/train_test_split/camelyon16/healthy/normal/ 27 | dataset_type: camelyon16 28 | transform_kwargs: 29 | crop_size: 256 30 | -------------------------------------------------------------------------------- /configs/deep_if/camelyon16/final/with_cv/class_healthy/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: conv2d_7b 3 | random_seed: 2862 4 | results_root: ./data/results/deep_if/camelyon16/final/with_cv/class_healthy/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | image_root: ./data/data/camelyon16/x40 9 | split: test 10 | split_root: ./folds/train_test_split/camelyon16/healthy/anomaly/ 11 | dataset_type: camelyon16 12 | transform_kwargs: 13 | crop_size: 256 14 | normal: 15 | dataset_kwargs: 16 | image_root: ./data/data/camelyon16/x40 17 | split: test 18 | split_root: ./folds/train_test_split/camelyon16/healthy/normal/ 19 | dataset_type: camelyon16 20 | transform_kwargs: 21 | crop_size: 256 22 | train_dataset: 23 | dataset_kwargs: 24 | image_root: ./data/data/camelyon16/x40 25 | split: train 26 | split_root: ./folds/train_test_split/camelyon16/healthy/normal/ 27 | dataset_type: camelyon16 28 | transform_kwargs: 29 | crop_size: 256 30 | -------------------------------------------------------------------------------- /configs/deep_if/camelyon16/final/with_cv/class_healthy/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: conv2d_7b 3 | random_seed: 9240 4 | results_root: ./data/results/deep_if/camelyon16/final/with_cv/class_healthy/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | image_root: ./data/data/camelyon16/x40 9 | split: test 10 | split_root: ./folds/train_test_split/camelyon16/healthy/anomaly/ 11 | dataset_type: camelyon16 12 | transform_kwargs: 13 | crop_size: 256 14 | normal: 15 | dataset_kwargs: 16 | image_root: ./data/data/camelyon16/x40 17 | split: test 18 | split_root: ./folds/train_test_split/camelyon16/healthy/normal/ 19 | dataset_type: camelyon16 20 | transform_kwargs: 21 | crop_size: 256 22 | train_dataset: 23 | dataset_kwargs: 24 | image_root: ./data/data/camelyon16/x40 25 | split: train 26 | split_root: ./folds/train_test_split/camelyon16/healthy/normal/ 27 | dataset_type: camelyon16 28 | transform_kwargs: 29 | crop_size: 256 30 | -------------------------------------------------------------------------------- /configs/deep_if/camelyon16/meta/meta_cv.yaml: -------------------------------------------------------------------------------- 1 | #random_seed: 1234 2 | #results_root: ./data/results/deep_if/cifar/repeat_exp/0 3 | 4 | batch_size: 32 5 | #feature_extraction_type: concat 6 | 7 | train_dataset: 8 | dataset_type: camelyon16 9 | dataset_kwargs: 10 | split: train 11 | # image_root: ./data/data/camelyon16/x10 12 | # split_root: 13 | transform_kwargs: 14 | # crop_size: 64 15 | 16 | test_datasets: 17 | normal: 18 | dataset_type: camelyon16 19 | dataset_kwargs: 20 | split: test 21 | # image_root: ./data/data/camelyon16/x10 22 | # split_root: 23 | transform_kwargs: 24 | crop_size: 64 25 | 26 | anomaly: 27 | dataset_type: camelyon16 28 | dataset_kwargs: 29 | split: test 30 | # image_root: ./data/data/camelyon16/x10 31 | # split_root: 32 | transform_kwargs: 33 | # crop_size: 64 34 | 35 | -------------------------------------------------------------------------------- /configs/deep_if/camelyon16/meta/meta_reproduce.yaml: -------------------------------------------------------------------------------- 1 | #random_seed: 1234 2 | #results_root: ./data/results/deep_if/cifar/repeat_exp/0 3 | 4 | batch_size: 32 5 | feature_extraction_type: concat 6 | 7 | train_dataset: 8 | dataset_type: camelyon16 9 | dataset_kwargs: 10 | split: train 11 | image_root: ./data/data/camelyon16/x10 12 | # split_root: 13 | transform_kwargs: 14 | crop_size: 64 15 | 16 | test_datasets: 17 | normal: 18 | dataset_type: camelyon16 19 | dataset_kwargs: 20 | split: test 21 | image_root: ./data/data/camelyon16/x10 22 | # split_root: 23 | transform_kwargs: 24 | crop_size: 64 25 | 26 | anomaly: 27 | dataset_type: camelyon16 28 | dataset_kwargs: 29 | split: test 30 | image_root: ./data/data/camelyon16/x10 31 | # split_root: 32 | transform_kwargs: 33 | crop_size: 64 34 | 35 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_0/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 5632 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_0/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 1 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 0 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 0 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_0/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 8274 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_0/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 1 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 0 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 0 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_0/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 8610 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_0/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 1 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 0 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 0 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_1/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 5630 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_1/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 1 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 1 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_1/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 447 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_1/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 1 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 1 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_1/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 5150 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_1/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 1 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 1 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_2/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 4414 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_2/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 2 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 2 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_2/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 11 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_2/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 2 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 2 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_2/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 1689 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_2/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 2 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 2 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_3/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 197 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_3/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 3 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 3 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_3/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 18 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_3/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 3 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 3 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_3/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 1440 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_3/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 3 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 3 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_4/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 4432 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_4/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 4 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 4 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_4/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 3074 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_4/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 4 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 4 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_4/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 3411 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_4/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 4 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 4 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_5/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 9785 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_5/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 5 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 5 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_5/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 9848 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_5/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 5 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 5 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_5/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 5579 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_5/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 5 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 5 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_6/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 6892 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_6/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 6 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 6 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_6/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 9514 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_6/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 6 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 6 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_6/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 6744 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_6/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 6 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 6 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_7/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 3898 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_7/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 7 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 7 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_7/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 822 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_7/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 7 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 7 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_7/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 886 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_7/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 8 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 7 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 7 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_8/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 5635 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_8/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 8 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 8 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_8/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 5182 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_8/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 8 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 8 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_8/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 836 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_8/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 9 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 8 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 8 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_9/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 1156 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_9/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 8 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 9 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 9 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_9/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 1969 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_9/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 8 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 9 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 9 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/reproduce/class_9/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 559 4 | results_root: ./data/results/deep_if/cifar/reproduce/class_9/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 8 20 | dataset_type: cifar10 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/cifar10 25 | split: test 26 | target_classes: 27 | - 9 28 | dataset_type: cifar10 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/cifar10 33 | split: train 34 | target_classes: 35 | - 9 36 | dataset_type: cifar10 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_0/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 4808 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_0/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 1 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 0 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 0 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_0/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 1971 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_0/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 1 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 0 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 0 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_0/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 8623 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_0/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 1 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 0 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 0 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_1/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 1077 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_1/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 1 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 1 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_1/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 9692 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_1/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 1 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 1 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_1/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 2249 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_1/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 1 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 1 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_2/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: conv2d_7b 3 | random_seed: 1808 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_2/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 2 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 2 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_2/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: conv2d_7b 3 | random_seed: 5246 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_2/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 2 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 2 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_2/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: conv2d_7b 3 | random_seed: 9918 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_2/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 2 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 2 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_3/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 9410 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_3/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 3 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 3 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_3/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 4762 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_3/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 3 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 3 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_3/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 2005 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_3/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 3 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 3 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_4/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 258 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_4/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 4 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 4 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_4/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 8520 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_4/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 4 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 4 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_4/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 804 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_4/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 4 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 4 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_5/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 2226 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_5/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 5 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 5 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_5/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 6699 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_5/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 5 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 5 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_5/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 7751 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_5/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 5 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 5 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_6/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 7418 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_6/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 6 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 6 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_6/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 9052 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_6/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 6 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 6 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_6/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 6203 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_6/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 6 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 6 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_7/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: conv2d_7b 3 | random_seed: 1365 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_7/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 7 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 7 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_7/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: conv2d_7b 3 | random_seed: 8246 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_7/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 7 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 7 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_7/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: conv2d_7b 3 | random_seed: 5369 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_7/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 7 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 7 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_8/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: conv2d_7b 3 | random_seed: 6809 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_8/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 8 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 8 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_8/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: conv2d_7b 3 | random_seed: 1142 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_8/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 8 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 8 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_8/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: conv2d_7b 3 | random_seed: 5416 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_8/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 8 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 8 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_9/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 1554 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_9/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 8 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 9 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 9 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_9/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 6545 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_9/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 8 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 9 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 9 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/final/with_cv/class_9/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 2176 4 | results_root: ./data/results/deep_if/cifar10/final/with_cv/class_9/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/cifar10 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 8 20 | target_indexes_path: null 21 | dataset_type: cifar10 22 | transform_kwargs: {} 23 | normal: 24 | dataset_kwargs: 25 | root: ./data/data/cifar10 26 | split: test 27 | target_classes: 28 | - 9 29 | target_indexes_path: null 30 | dataset_type: cifar10 31 | transform_kwargs: {} 32 | train_dataset: 33 | dataset_kwargs: 34 | root: ./data/data/cifar10 35 | split: train 36 | target_classes: 37 | - 9 38 | target_indexes_path: null 39 | dataset_type: cifar10 40 | transform_kwargs: {} 41 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/meta/meta_cv.yaml: -------------------------------------------------------------------------------- 1 | #random_seed: 1234 2 | #results_root: ./data/results/deep_if/cifar/repeat_exp/0 3 | 4 | batch_size: 32 5 | #feature_extraction_type: concat 6 | 7 | train_dataset: 8 | dataset_type: cifar10 9 | dataset_kwargs: 10 | root: ./data/data/cifar10 11 | # target_classes: [0] 12 | # split: train 13 | transform_kwargs: {} 14 | 15 | test_datasets: 16 | normal: 17 | dataset_type: cifar10 18 | dataset_kwargs: 19 | root: ./data/data/cifar10 20 | # target_classes: [0] 21 | # split: test 22 | transform_kwargs: {} 23 | anomaly: 24 | dataset_type: cifar10 25 | dataset_kwargs: 26 | root: ./data/data/cifar10 27 | # target_classes: [1, 2, 3, 4, 5, 6, 7, 8, 9] 28 | # split: test 29 | transform_kwargs: {} 30 | 31 | -------------------------------------------------------------------------------- /configs/deep_if/cifar10/meta/meta_reproduce.yaml: -------------------------------------------------------------------------------- 1 | #random_seed: 1234 2 | #results_root: ./data/results/deep_if/cifar/repeat_exp/0 3 | 4 | batch_size: 32 5 | feature_extraction_type: concat 6 | 7 | train_dataset: 8 | dataset_type: cifar10 9 | dataset_kwargs: 10 | root: ./data/data/cifar10 11 | # target_classes: [0] 12 | split: train 13 | transform_kwargs: {} 14 | 15 | test_datasets: 16 | normal: 17 | dataset_type: cifar10 18 | dataset_kwargs: 19 | root: ./data/data/cifar10 20 | # target_classes: [0] 21 | split: test 22 | transform_kwargs: {} 23 | anomaly: 24 | dataset_type: cifar10 25 | dataset_kwargs: 26 | root: ./data/data/cifar10 27 | # target_classes: [1, 2, 3, 4, 5, 6, 7, 8, 9] 28 | split: test 29 | transform_kwargs: {} 30 | 31 | -------------------------------------------------------------------------------- /configs/deep_if/nih/meta/meta_reproduce.yaml: -------------------------------------------------------------------------------- 1 | #random_seed: 1234 2 | #results_root: ./data/results/deep_if/cifar/repeat_exp/0 3 | 4 | batch_size: 32 5 | feature_extraction_type: concat 6 | 7 | train_dataset: 8 | dataset_type: nih 9 | dataset_kwargs: 10 | image_root: ./data/data/nih_300/ 11 | split: train 12 | # split_root: ./folds/train_test_split/nih/normal 13 | transform_kwargs: 14 | crop_size: 224 15 | resize: 64 16 | equalize_hist: False 17 | 18 | test_datasets: 19 | normal: 20 | dataset_type: nih 21 | dataset_kwargs: 22 | image_root: ./data/data/nih_300/ 23 | split: test 24 | # split_root: ./folds/train_test_split/nih/normal 25 | transform_kwargs: 26 | crop_size: 224 27 | resize: 64 28 | equalize_hist: False 29 | 30 | anomaly: 31 | dataset_type: nih 32 | dataset_kwargs: 33 | image_root: ./data/data/nih_300/ 34 | split: test 35 | # split_root: ./folds/train_test_split/nih/anomaly 36 | transform_kwargs: 37 | crop_size: 224 38 | resize: 64 39 | equalize_hist: False 40 | 41 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_0/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 4840 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_0/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 1 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 0 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 0 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_0/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 6745 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_0/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 1 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 0 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 0 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_0/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 7568 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_0/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 1 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 0 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 0 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_1/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 7980 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_1/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 1 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 1 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_1/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 466 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_1/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 1 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 1 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_1/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 4704 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_1/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 1 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 1 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_2/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 1559 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_2/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 2 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 2 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_2/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 6050 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_2/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 2 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 2 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_2/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 1514 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_2/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 2 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 2 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_3/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 5066 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_3/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 3 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 3 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_3/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 7605 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_3/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 3 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 3 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_3/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 7508 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_3/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 3 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 3 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_4/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 6289 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_4/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 4 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 4 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_4/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 4699 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_4/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 4 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 4 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_4/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 9432 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_4/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 4 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 4 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_5/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 8668 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_5/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 5 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 5 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_5/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 9698 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_5/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 5 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 5 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_5/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 9830 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_5/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 5 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 5 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_6/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 7654 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_6/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 6 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 6 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_6/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 3045 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_6/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 6 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 6 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_6/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 1210 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_6/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 7 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 6 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 6 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_7/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 4036 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_7/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 7 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 7 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_7/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 5994 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_7/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 7 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 7 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_7/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 6256 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_7/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 8 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 7 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 7 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_8/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 1358 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_8/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 8 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 8 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_8/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 3626 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_8/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 8 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 8 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_8/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 4586 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_8/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 9 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 8 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 8 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_9/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 9075 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_9/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 8 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 9 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 9 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_9/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 2835 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_9/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 8 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 9 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 9 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/reproduce/class_9/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 1228 4 | results_root: ./data/results/deep_if/svhn/final/reproduce/class_9/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 7 19 | - 8 20 | dataset_type: svhn 21 | transform_kwargs: {} 22 | normal: 23 | dataset_kwargs: 24 | root: ./data/data/svhn 25 | split: test 26 | target_classes: 27 | - 9 28 | dataset_type: svhn 29 | transform_kwargs: {} 30 | train_dataset: 31 | dataset_kwargs: 32 | root: ./data/data/svhn 33 | split: train 34 | target_classes: 35 | - 9 36 | dataset_type: svhn 37 | transform_kwargs: {} 38 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_0/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 248 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_0/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 1 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: true 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 0 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: true 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 0 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: true 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_0/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 278 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_0/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 1 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: true 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 0 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: true 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 0 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: true 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_0/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 665 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_0/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 1 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: true 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 0 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: true 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 0 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: true 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_1/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 8056 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_1/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: false 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 1 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: false 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 1 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: false 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_1/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 5115 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_1/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: false 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 1 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: false 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 1 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: false 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_1/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 6016 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_1/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 2 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: false 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 1 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: false 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 1 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: false 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_2/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 1289 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_2/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: false 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 2 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: false 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 2 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: false 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_2/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 6957 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_2/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: false 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 2 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: false 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 2 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: false 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_2/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 7482 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_2/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 3 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: false 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 2 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: false 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 2 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: false 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_3/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 8000 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_3/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: true 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 3 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: true 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 3 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: true 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_3/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 3028 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_3/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: true 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 3 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: true 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 3 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: true 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_3/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 7179 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_3/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 4 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: true 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 3 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: true 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 3 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: true 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_4/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: mixed_7a 3 | random_seed: 9815 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_4/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 5 16 | - 6 17 | - 7 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: false 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 4 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: false 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 4 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: false 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_7/run_0/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 9947 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_7/run_0 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: true 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 7 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: true 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 7 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: true 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_7/run_1/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 4195 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_7/run_1 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: true 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 7 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: true 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 7 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: true 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/final/with_cv/class_7/run_2/train_eval.yaml: -------------------------------------------------------------------------------- 1 | batch_size: 32 2 | feature_extraction_type: concat 3 | random_seed: 4015 4 | results_root: ./data/results/deep_if/svhn/final/with_cv/class_7/run_2 5 | test_datasets: 6 | anomaly: 7 | dataset_kwargs: 8 | root: ./data/data/svhn 9 | split: test 10 | target_classes: 11 | - 0 12 | - 1 13 | - 2 14 | - 3 15 | - 4 16 | - 5 17 | - 6 18 | - 8 19 | - 9 20 | target_indexes_path: null 21 | dataset_type: svhn 22 | transform_kwargs: 23 | to_grayscale: true 24 | normal: 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | split: test 28 | target_classes: 29 | - 7 30 | target_indexes_path: null 31 | dataset_type: svhn 32 | transform_kwargs: 33 | to_grayscale: true 34 | train_dataset: 35 | dataset_kwargs: 36 | root: ./data/data/svhn 37 | split: train 38 | target_classes: 39 | - 7 40 | target_indexes_path: null 41 | dataset_type: svhn 42 | transform_kwargs: 43 | to_grayscale: true 44 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/meta/meta_cv.yaml: -------------------------------------------------------------------------------- 1 | #random_seed: 1234 2 | #results_root: ./data/results/deep_if/cifar/repeat_exp/0 3 | 4 | batch_size: 32 5 | #feature_extraction_type: concat 6 | 7 | train_dataset: 8 | dataset_type: svhn 9 | dataset_kwargs: 10 | root: ./data/data/svhn 11 | # target_classes: [0] 12 | # split: train 13 | transform_kwargs: {} 14 | 15 | test_datasets: 16 | normal: 17 | dataset_type: svhn 18 | dataset_kwargs: 19 | root: ./data/data/svhn 20 | # target_classes: [0] 21 | # split: test 22 | transform_kwargs: {} 23 | anomaly: 24 | dataset_type: svhn 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | # target_classes: [1, 2, 3, 4, 5, 6, 7, 8, 9] 28 | # split: test 29 | transform_kwargs: {} 30 | 31 | -------------------------------------------------------------------------------- /configs/deep_if/svhn/meta/meta_reproduce.yaml: -------------------------------------------------------------------------------- 1 | #random_seed: 1234 2 | #results_root: ./data/results/deep_if/cifar/repeat_exp/0 3 | 4 | batch_size: 32 5 | feature_extraction_type: concat 6 | 7 | train_dataset: 8 | dataset_type: svhn 9 | dataset_kwargs: 10 | root: ./data/data/svhn 11 | # target_classes: [0] 12 | split: train 13 | transform_kwargs: {} 14 | 15 | test_datasets: 16 | normal: 17 | dataset_type: svhn 18 | dataset_kwargs: 19 | root: ./data/data/svhn 20 | # target_classes: [0] 21 | split: test 22 | transform_kwargs: {} 23 | anomaly: 24 | dataset_type: svhn 25 | dataset_kwargs: 26 | root: ./data/data/svhn 27 | # target_classes: [1, 2, 3, 4, 5, 6, 7, 8, 9] 28 | split: test 29 | transform_kwargs: {} 30 | 31 | -------------------------------------------------------------------------------- /configs/piad/camelyon16/meta/meta_cv_eval.yaml: -------------------------------------------------------------------------------- 1 | #=========================== CONFIG FOR EVALUATION =========================== 2 | 3 | verbose: True 4 | 5 | #results_root: 6 | 7 | test_batch_size: 32 8 | 9 | #test_model_path: ./data/checkpoint/debug/exp_2/anomaly_detection.tar 10 | 11 | test_datasets: 12 | normal: 13 | dataset_type: camelyon16 14 | dataset_kwargs: 15 | split: test 16 | image_root: ./data/data/camelyon16/x10 17 | # split_root: 18 | transform_kwargs: 19 | crop_size: 64 20 | 21 | anomaly: 22 | dataset_type: camelyon16 23 | dataset_kwargs: 24 | split: test 25 | image_root: ./data/data/camelyon16/x10 26 | # split_root: 27 | transform_kwargs: 28 | crop_size: 64 29 | 30 | -------------------------------------------------------------------------------- /configs/piad/cifar10/meta/meta_cv_eval.yaml: -------------------------------------------------------------------------------- 1 | verbose: True 2 | 3 | #results_root: 4 | 5 | test_batch_size: 32 6 | 7 | #test_model_path: ./data/checkpoint/debug/exp_2/anomaly_detection.tar 8 | 9 | test_datasets: 10 | normal: 11 | dataset_type: cifar10 12 | dataset_kwargs: 13 | root: ./data/data/cifar10 14 | # split: train 15 | # target_indexes_path: 16 | transform_kwargs: {} 17 | 18 | anomaly: 19 | dataset_type: cifar10 20 | dataset_kwargs: 21 | root: ./data/data/cifar10 22 | # split: train 23 | # target_indexes_path: 24 | transform_kwargs: {} 25 | 26 | -------------------------------------------------------------------------------- /configs/piad/nih/meta/meta_cv_eval.yaml: -------------------------------------------------------------------------------- 1 | #=========================== CONFIG FOR EVALUATION =========================== 2 | 3 | #results_root: 4 | 5 | test_batch_size: 32 6 | 7 | #test_model_path: ./data/checkpoint/debug/exp_2/anomaly_detection.tar 8 | 9 | test_datasets: 10 | normal: 11 | dataset_type: nih 12 | dataset_kwargs: 13 | image_root: ./data/data/nih_300/ 14 | split: test 15 | # split_root: ./folds/train_test_split/nih/normal 16 | transform_kwargs: 17 | crop_size: 224 18 | resize: 64 19 | equalize_hist: False 20 | 21 | anomaly: 22 | dataset_type: nih 23 | dataset_kwargs: 24 | image_root: ./data/data/nih_300/ 25 | split: test 26 | # split_root: ./folds/train_test_split/nih/anomaly 27 | transform_kwargs: 28 | crop_size: 224 29 | resize: 64 30 | equalize_hist: False 31 | 32 | -------------------------------------------------------------------------------- /configs/piad/svhn/meta/meta_cv_eval.yaml: -------------------------------------------------------------------------------- 1 | verbose: True 2 | 3 | #results_root: 4 | 5 | test_batch_size: 32 6 | 7 | #test_model_path: ./data/checkpoint/debug/exp_2/anomaly_detection.tar 8 | 9 | test_datasets: 10 | normal: 11 | dataset_type: svhn 12 | dataset_kwargs: 13 | root: ./data/data/svhn 14 | # split: train 15 | # target_indexes_path: 16 | transform_kwargs: {} 17 | 18 | anomaly: 19 | dataset_type: svhn 20 | dataset_kwargs: 21 | root: ./data/data/svhn 22 | # split: train 23 | # target_indexes_path: 24 | transform_kwargs: {} 25 | -------------------------------------------------------------------------------- /folds/folds/cifar10/0/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/0/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/0/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/0/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/0/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/0/0/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/0/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/0/0/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/0/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/0/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/0/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/0/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/0/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/0/1/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/0/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/0/1/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/0/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/0/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/0/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/0/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/0/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/0/2/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/0/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/0/2/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/1/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/1/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/1/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/1/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/1/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/1/0/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/1/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/1/0/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/1/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/1/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/1/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/1/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/1/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/1/1/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/1/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/1/1/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/1/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/1/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/1/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/1/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/1/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/1/2/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/1/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/1/2/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/2/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/2/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/2/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/2/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/2/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/2/0/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/2/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/2/0/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/2/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/2/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/2/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/2/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/2/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/2/1/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/2/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/2/1/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/2/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/2/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/2/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/2/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/2/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/2/2/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/2/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/2/2/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/3/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/3/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/3/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/3/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/3/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/3/0/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/3/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/3/0/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/3/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/3/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/3/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/3/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/3/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/3/1/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/3/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/3/1/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/3/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/3/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/3/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/3/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/3/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/3/2/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/3/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/3/2/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/4/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/4/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/4/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/4/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/4/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/4/0/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/4/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/4/0/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/4/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/4/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/4/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/4/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/4/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/4/1/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/4/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/4/1/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/4/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/4/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/4/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/4/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/4/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/4/2/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/4/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/4/2/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/5/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/5/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/5/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/5/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/5/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/5/0/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/5/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/5/0/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/5/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/5/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/5/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/5/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/5/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/5/1/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/5/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/5/1/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/5/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/5/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/5/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/5/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/5/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/5/2/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/5/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/5/2/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/6/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/6/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/6/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/6/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/6/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/6/0/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/6/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/6/0/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/6/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/6/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/6/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/6/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/6/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/6/1/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/6/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/6/1/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/6/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/6/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/6/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/6/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/6/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/6/2/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/6/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/6/2/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/7/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/7/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/7/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/7/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/7/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/7/0/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/7/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/7/0/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/7/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/7/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/7/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/7/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/7/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/7/1/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/7/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/7/1/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/7/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/7/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/7/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/7/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/7/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/7/2/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/7/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/7/2/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/8/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/8/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/8/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/8/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/8/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/8/0/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/8/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/8/0/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/8/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/8/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/8/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/8/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/8/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/8/1/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/8/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/8/1/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/8/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/8/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/8/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/8/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/8/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/8/2/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/8/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/8/2/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/9/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/9/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/9/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/9/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/9/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/9/0/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/9/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/9/0/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/9/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/9/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/9/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/9/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/9/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/9/1/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/9/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/9/1/val.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/9/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/9/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/9/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/9/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/9/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/9/2/train.npy -------------------------------------------------------------------------------- /folds/folds/cifar10/9/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/cifar10/9/2/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/0/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/0/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/0/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/0/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/0/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/0/0/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/0/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/0/0/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/0/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/0/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/0/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/0/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/0/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/0/1/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/0/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/0/1/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/0/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/0/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/0/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/0/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/0/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/0/2/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/0/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/0/2/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/1/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/1/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/1/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/1/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/1/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/1/0/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/1/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/1/0/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/1/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/1/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/1/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/1/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/1/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/1/1/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/1/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/1/1/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/1/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/1/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/1/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/1/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/1/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/1/2/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/1/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/1/2/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/2/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/2/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/2/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/2/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/2/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/2/0/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/2/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/2/0/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/2/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/2/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/2/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/2/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/2/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/2/1/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/2/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/2/1/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/2/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/2/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/2/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/2/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/2/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/2/2/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/2/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/2/2/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/3/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/3/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/3/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/3/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/3/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/3/0/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/3/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/3/0/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/3/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/3/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/3/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/3/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/3/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/3/1/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/3/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/3/1/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/3/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/3/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/3/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/3/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/3/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/3/2/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/3/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/3/2/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/4/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/4/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/4/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/4/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/4/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/4/0/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/4/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/4/0/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/4/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/4/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/4/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/4/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/4/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/4/1/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/4/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/4/1/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/4/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/4/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/4/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/4/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/4/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/4/2/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/4/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/4/2/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/5/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/5/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/5/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/5/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/5/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/5/0/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/5/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/5/0/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/5/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/5/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/5/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/5/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/5/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/5/1/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/5/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/5/1/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/5/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/5/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/5/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/5/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/5/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/5/2/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/5/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/5/2/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/6/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/6/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/6/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/6/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/6/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/6/0/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/6/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/6/0/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/6/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/6/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/6/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/6/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/6/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/6/1/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/6/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/6/1/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/6/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/6/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/6/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/6/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/6/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/6/2/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/6/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/6/2/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/7/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/7/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/7/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/7/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/7/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/7/0/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/7/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/7/0/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/7/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/7/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/7/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/7/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/7/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/7/1/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/7/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/7/1/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/7/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/7/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/7/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/7/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/7/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/7/2/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/7/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/7/2/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/8/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/8/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/8/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/8/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/8/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/8/0/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/8/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/8/0/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/8/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/8/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/8/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/8/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/8/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/8/1/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/8/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/8/1/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/8/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/8/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/8/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/8/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/8/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/8/2/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/8/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/8/2/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/9/0/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/9/0/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/9/0/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/9/0/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/9/0/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/9/0/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/9/0/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/9/0/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/9/1/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/9/1/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/9/1/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/9/1/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/9/1/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/9/1/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/9/1/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/9/1/val.npy -------------------------------------------------------------------------------- /folds/folds/svhn/9/2/test_anomaly.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/9/2/test_anomaly.npy -------------------------------------------------------------------------------- /folds/folds/svhn/9/2/test_normal.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/9/2/test_normal.npy -------------------------------------------------------------------------------- /folds/folds/svhn/9/2/train.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/9/2/train.npy -------------------------------------------------------------------------------- /folds/folds/svhn/9/2/val.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ninatu/anomaly_detection/6fa35f3fd35976ce2b857801d288e17f454241b9/folds/folds/svhn/9/2/val.npy -------------------------------------------------------------------------------- /folds/validation_classes/camelyon16.csv: -------------------------------------------------------------------------------- 1 | Valid Slides 2 | tumor_078 3 | tumor_052 4 | tumor_078 5 | tumor_085 6 | tumor_085 7 | tumor_016 8 | -------------------------------------------------------------------------------- /folds/validation_classes/cifar10.csv: -------------------------------------------------------------------------------- 1 | class,class_name,valid_class,valid_class_name 2 | 0,airplane,7,horse 3 | 1,automobile,7,horse 4 | 2,bird,4,deer 5 | 3,cat,0,airplane 6 | 4,deer,1,automobile 7 | 5,dog,1,automobile 8 | 6,frog,7,horse 9 | 7,horse,6,frog 10 | 8,ship,4,deer 11 | 9,truck,7,horse 12 | -------------------------------------------------------------------------------- /folds/validation_classes/nih.csv: -------------------------------------------------------------------------------- 1 | Valid Labels 2 | Infiltration 3 | -------------------------------------------------------------------------------- /folds/validation_classes/svhn.csv: -------------------------------------------------------------------------------- 1 | class,class_name,valid_class,valid_class_name 2 | 0,0,8,8 3 | 1,1,9,9 4 | 2,2,6,6 5 | 3,3,4,4 6 | 4,4,0,0 7 | 5,5,8,8 8 | 6,6,8,8 9 | 7,7,9,9 10 | 8,8,0,0 11 | 9,9,6,6 12 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | PyYAML~=5.1.2 2 | numpy~=1.17.2 3 | pandas~=0.25.1 4 | torch~=1.4.0 5 | tqdm~=4.32.1 6 | scikit-image~=0.16.1 7 | matplotlib~=3.1.1 8 | Pillow~=6.2.0 9 | sklearn~=0.0 10 | scikit-learn~=0.21.3 11 | torchvision~=0.5.0 12 | setuptools~=41.4.0 13 | tensorboardX~=1.6 14 | pretrainedmodels~=0.7.4 15 | tensorflow~=1.13.1 16 | tensorflow-gpu~=1.13.1 17 | Keras~=2.3.1 18 | scipy~=1.4.1 -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | from setuptools import setup, find_packages 2 | 3 | 4 | setup(name='anomaly_detection', 5 | version='1.0', 6 | description='Anomaly Detection', 7 | url='', 8 | author='Nina Tuluptceva', 9 | author_email='nina.tuluptceva@philips.com', 10 | license='Apache License 2.0', 11 | packages=find_packages(), 12 | dependency_links=[], 13 | zip_safe=False) 14 | --------------------------------------------------------------------------------