Add AnomalyDINO to model list. Also alphabetically re-order some models

Author: alfieroddanintel

src/anomalib/models/__init__.py

@@ -55,6 +55,7 @@
 from anomalib.utils.path import convert_snake_to_pascal_case, convert_to_snake_case, convert_to_title_case
 
 from .image import (
+    AnomalyDINO,
     Cfa,
     Cflow,
     Csflow,
@@ -93,6 +94,8 @@ class UnknownModelError(ModuleNotFoundError):
 
 
 __all__ = [
+    "AiVad",
+    "AnomalyDINO",
     "Cfa",
     "Cflow",
     "Csflow",
@@ -104,6 +107,7 @@ class UnknownModelError(ModuleNotFoundError):
     "EfficientAd",
     "Fastflow",
     "Fre",
+    "Fuvas",
     "Ganomaly",
     "Padim",
     "Patchcore",
@@ -114,8 +118,6 @@ class UnknownModelError(ModuleNotFoundError):
     "UniNet",
     "VlmAd",
     "WinClip",
-    "AiVad",
-    "Fuvas",
 ]
 
 logger = logging.getLogger(__name__)

src/anomalib/models/image/__init__.py

@@ -23,6 +23,7 @@
     >>> predictions = engine.predict(model=model, datamodule=datamodule)  # doctest: +SKIP
 
 Available Models:
+    - :class: `AnomalyDINO`: Boost Memorybank Models with DINOv2
     - :class:`Cfa`: Contrastive Feature Aggregation
     - :class:`Cflow`: Conditional Normalizing Flow
     - :class:`Csflow`: Conditional Split Flow
@@ -44,6 +45,7 @@
     - :class:`WinClip`: Zero-/Few-Shot CLIP-based Detection
 """
 
+from .anomaly_dino import AnomalyDINO
 from .cfa import Cfa
 from .cflow import Cflow
 from .csflow import Csflow
@@ -67,10 +69,12 @@
 from .winclip import WinClip
 
 __all__ = [
+    "AnomalyDINO",
     "Cfa",
     "Cflow",
     "Csflow",
     "Dfkde",
+    "Dinomaly",
     "Dfm",
     "Draem",
     "Dsr",
@@ -87,5 +91,4 @@
     "UniNet",
     "VlmAd",
     "WinClip",
-    "Dinomaly",
 ]