✨ CS-Flow model

.pre-commit-config.yaml

@@ -31,7 +31,7 @@ repos:
     hooks:
       - id: flake8
         args: ["--max-line-length=120", "--ignore=E203,W503"]
-        exclude: "tests|anomalib/models/components/freia"
+        exclude: "tests"
 
   # python linting
   - repo: https://github.com/PyCQA/pylint
@@ -42,15 +42,15 @@ repos:
         entry: pylint --score=no
         language: system
         types: [python]
-        exclude: "tests|docs|anomalib/models/components/freia"
+        exclude: "tests|docs"
 
   # python static type checking
   - repo: https://github.com/pre-commit/mirrors-mypy
     rev: "v0.971"
     hooks:
       - id: mypy
         additional_dependencies: [types-PyYAML]
-        exclude: "tests|anomalib/models/components/freia"
+        exclude: "tests"
 
   - repo: https://github.com/PyCQA/pydocstyle
     rev: 6.1.1
@@ -61,7 +61,7 @@ repos:
         entry: pydocstyle
         language: python
         types: [python]
-        exclude: "tests|docs|anomalib/models/components/freia"
+        exclude: "tests|docs"
 
   # notebooks.
   - repo: https://github.com/nbQA-dev/nbQA

README.md

@@ -317,13 +317,16 @@ For more details see the [Discussion forum](https://github.com/openvinotoolkit/a
 MVTec AD dataset is one of the main benchmarks for anomaly detection, and is released under the
 Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License [(CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/).
 
+> Note: These metrics are collected with image size of 256 and seed `42`. This common setting is used to make model comparisons fair.
+
 ## Image-Level AUC
 
 | Model         |                    |    Avg    |  Carpet   |   Grid    | Leather |   Tile    |   Wood    | Bottle  |   Cable   |  Capsule  | Hazelnut | Metal Nut |   Pill    |   Screw   | Toothbrush | Transistor |  Zipper   |
 | ------------- | ------------------ | :-------: | :-------: | :-------: | :-----: | :-------: | :-------: | :-----: | :-------: | :-------: | :------: | :-------: | :-------: | :-------: | :--------: | :--------: | :-------: |
 | **PatchCore** | **Wide ResNet-50** | **0.980** |   0.984   |   0.959   |  1.000  | **1.000** |   0.989   |  1.000  | **0.990** | **0.982** |  1.000   |   0.994   |   0.924   |   0.960   |   0.933    | **1.000**  |   0.982   |
 | PatchCore     | ResNet-18          |   0.973   |   0.970   |   0.947   |  1.000  |   0.997   |   0.997   |  1.000  |   0.986   |   0.965   |  1.000   |   0.991   |   0.916   | **0.943** |   0.931    |   0.996    |   0.953   |
 | CFlow         | Wide ResNet-50     |   0.962   |   0.986   |   0.962   | **1.0** |   0.999   | **0.993** | **1.0** |   0.893   |   0.945   | **1.0**  | **0.995** |   0.924   |   0.908   |   0.897    |   0.943    | **0.984** |
+| CS-Flow       | EfficientNet-B5    |   0.972   |   0.995   |   0.982   |  **1**  |   0.972   |   0.988   |  **1**  |   0.97    |   0.907   |  0.995   |   0.972   |   0.953   |   0.896   |   0.969    |   0.987    |   0.987   |
 | PaDiM         | Wide ResNet-50     |   0.950   | **0.995** |   0.942   |   1.0   |   0.974   | **0.993** |  0.999  |   0.878   |   0.927   |  0.964   |   0.989   | **0.939** |   0.845   |   0.942    |   0.976    |   0.882   |
 | PaDiM         | ResNet-18          |   0.891   |   0.945   |   0.857   |  0.982  |   0.950   |   0.976   |  0.994  |   0.844   |   0.901   |  0.750   |   0.961   |   0.863   |   0.759   |   0.889    |   0.920    |   0.780   |
 | STFPM         | Wide ResNet-50     |   0.876   |   0.957   |   0.977   |  0.981  |   0.976   |   0.939   |  0.987  |   0.878   |   0.732   |  0.995   |   0.973   |   0.652   |   0.825   |    0.5     |   0.875    |   0.899   |
@@ -334,13 +337,14 @@ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
 | DFKDE         | ResNet-18          |   0.762   |   0.646   |   0.577   |  0.669  |   0.965   |   0.863   |  0.951  |   0.751   |   0.698   |  0.806   |   0.729   |   0.607   |   0.694   |   0.767    |   0.839    |   0.866   |
 | GANomaly      |                    |   0.421   |   0.203   |   0.404   |  0.413  |   0.408   |   0.744   |  0.251  |   0.457   |   0.682   |  0.537   |   0.270   |   0.472   |   0.231   |   0.372    |   0.440    |   0.434   |
 
-### Pixel-Level AUC
+## Pixel-Level AUC
 
 | Model         |                    |    Avg    |  Carpet   |   Grid    |  Leather  |   Tile    |   Wood    |  Bottle   |   Cable   |  Capsule  | Hazelnut  | Metal Nut |   Pill    |   Screw   | Toothbrush | Transistor |  Zipper   |
 | ------------- | ------------------ | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :--------: | :--------: | :-------: |
 | **PatchCore** | **Wide ResNet-50** | **0.980** |   0.988   |   0.968   |   0.991   |   0.961   |   0.934   |   0.984   | **0.988** | **0.988** |   0.987   | **0.989** |   0.980   | **0.989** |   0.988    | **0.981**  |   0.983   |
 | PatchCore     | ResNet-18          |   0.976   |   0.986   |   0.955   |   0.990   |   0.943   |   0.933   |   0.981   |   0.984   |   0.986   |   0.986   |   0.986   |   0.974   |   0.991   |   0.988    |   0.974    |   0.983   |
 | CFlow         | Wide ResNet-50     |   0.971   |   0.986   |   0.968   |   0.993   | **0.968** |   0.924   |   0.981   |   0.955   | **0.988** | **0.990** |   0.982   | **0.983** |   0.979   |   0.985    |   0.897    |   0.980   |
+| CS-Flow       | EfficientNet B5    |   0.845   |   0.847   |   0.746   |   0.851   |   0.775   |   0.677   |   0.853   |   0.863   |   0.882   |   0.895   |   0.932   |   0.92    |   0.779   |   0.892    |    0.96    |   0.803   |
 | PaDiM         | Wide ResNet-50     |   0.979   | **0.991** |   0.970   |   0.993   |   0.955   | **0.957** | **0.985** |   0.970   | **0.988** |   0.985   |   0.982   |   0.966   |   0.988   | **0.991**  |   0.976    | **0.986** |
 | PaDiM         | ResNet-18          |   0.968   |   0.984   |   0.918   | **0.994** |   0.934   |   0.947   |   0.983   |   0.965   |   0.984   |   0.978   |   0.970   |   0.957   |   0.978   |   0.988    |   0.968    |   0.979   |
 | STFPM         | Wide ResNet-50     |   0.903   |   0.987   | **0.989** |   0.980   |   0.966   |   0.956   |   0.966   |   0.913   |   0.956   |   0.974   |   0.961   |   0.946   |   0.988   |   0.178    |   0.807    |   0.980   |
@@ -353,6 +357,7 @@ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
 | **PatchCore** | **Wide ResNet-50** | **0.976** |   0.971   |   0.974   | **1.000** | **1.000** |   0.967   | **1.000** |   0.968   | **0.982** | **1.000** |   0.984   |   0.940   |   0.943   |   0.938    | **1.000**  | **0.979** |
 | PatchCore     | ResNet-18          |   0.970   |   0.949   |   0.946   | **1.000** |   0.98    | **0.992** | **1.000** | **0.978** |   0.969   | **1.000** | **0.989** |   0.940   |   0.932   |   0.935    |   0.974    |   0.967   |
 | CFlow         | Wide ResNet-50     |   0.944   |   0.972   |   0.932   |  **1.0**  |   0.988   |   0.967   |  **1.0**  |   0.832   |   0.939   |  **1.0**  |   0.979   |   0.924   | **0.971** |   0.870    |   0.818    |   0.967   |
+| CS-Flow       | EfficientNet B5    |   0.965   |   0.983   |   0.982   |   **1**   |   0.957   |   0.966   |   **1**   |   0.945   |   0.944   |   0.986   |   0.963   |   0.965   |   0.906   |   0.949    |   0.938    |   0.987   |
 | PaDiM         | Wide ResNet-50     |   0.951   | **0.989** |   0.930   |  **1.0**  |   0.960   |   0.983   |   0.992   |   0.856   | **0.982** |   0.937   |   0.978   | **0.946** |   0.895   |   0.952    |   0.914    |   0.947   |
 | PaDiM         | ResNet-18          |   0.916   |   0.930   |   0.893   |   0.984   |   0.934   |   0.952   |   0.976   |   0.858   |   0.960   |   0.836   |   0.974   |   0.932   |   0.879   |   0.923    |   0.796    |   0.915   |
 | STFPM         | Wide ResNet-50     |   0.926   |   0.973   |   0.973   |   0.974   |   0.965   |   0.929   |   0.976   |   0.853   |   0.920   |   0.972   |   0.974   |   0.922   |   0.884   |   0.833    |   0.815    |   0.931   |

anomalib/models/__init__.py

@@ -13,6 +13,7 @@
 
 from anomalib.models.cflow import Cflow
 from anomalib.models.components import AnomalyModule
+from anomalib.models.csflow import Csflow
 from anomalib.models.dfkde import Dfkde
 from anomalib.models.dfm import Dfm
 from anomalib.models.draem import Draem
@@ -25,6 +26,7 @@
 
 __all__ = [
     "Cflow",
+    "Csflow",
     "Dfkde",
     "Dfm",
     "Draem",
@@ -73,6 +75,7 @@ def get_model(config: Union[DictConfig, ListConfig]) -> AnomalyModule:
 
     model_list: List[str] = [
         "cflow",
+        "csflow",
         "dfkde",
         "dfm",
         "draem",

anomalib/models/cflow/utils.py

@@ -8,11 +8,10 @@
 
 import numpy as np
 import torch
+from FrEIA.framework import SequenceINN
+from FrEIA.modules import AllInOneBlock
 from torch import nn
 
-from anomalib.models.components.freia.framework import SequenceINN
-from anomalib.models.components.freia.modules import AllInOneBlock
-
 logger = logging.getLogger(__name__)
 
 

anomalib/models/components/feature_extractors/torchfx.py

@@ -22,7 +22,7 @@ class BackboneParams:
     init_args: Dict = field(default_factory=dict)
 
 
-class TorchFXFeatureExtractor:
+class TorchFXFeatureExtractor(nn.Module):
     """Extract features from a CNN.
 
     Args:
@@ -74,6 +74,7 @@ def __init__(
         weights: Optional[Union[WeightsEnum, str]] = None,
         requires_grad: bool = False,
     ):
+        super().__init__()
         if isinstance(backbone, dict):
             backbone = BackboneParams(**backbone)
         elif not isinstance(backbone, BackboneParams):  # if str or nn.Module
@@ -169,6 +170,6 @@ def _get_backbone_class(backbone: str) -> Callable[..., nn.Module]:
 
         return backbone_class
 
-    def __call__(self, inputs: Tensor) -> Dict[str, Tensor]:
+    def forward(self, inputs: Tensor) -> Dict[str, Tensor]:
         """Extract features from the input."""
         return self.feature_extractor(inputs)