Fix Export docstring in CLI

src/anomalib/cli/utils/help_formatter.py

@@ -20,6 +20,7 @@
     "validate": {"model", "model.help", "data", "data.help", "ckpt_path", "config"},
     "test": {"model", "model.help", "data", "data.help", "ckpt_path", "config"},
     "predict": {"model", "model.help", "data", "data.help", "ckpt_path", "config"},
+    "export": {"model", "model.help", "export_type", "ckpt_path", "config"},
 }
 
 try:
@@ -31,6 +32,7 @@
         "validate": Engine.validate,
         "test": Engine.test,
         "predict": Engine.predict,
+        "export": Engine.export,
     }
 except ImportError:
     print("To use other subcommand using `anomalib install`")

src/anomalib/engine/engine.py

@@ -865,14 +865,14 @@ def train(
     def export(
         self,
         model: AnomalyModule,
-        export_type: ExportType,
+        export_type: ExportType | str,
         export_root: str | Path | None = None,
         input_size: tuple[int, int] | None = None,
         transform: Transform | None = None,
         ov_args: dict[str, Any] | None = None,
         ckpt_path: str | Path | None = None,
     ) -> Path | None:
-        """Export the model in PyTorch, ONNX or OpenVINO format.
+        r"""Export the model in PyTorch, ONNX or OpenVINO format.
 
         Args:
             model (AnomalyModule): Trained model.
@@ -882,7 +882,8 @@ def export(
             input_size (tuple[int, int] | None, optional): A statis input shape for the model, which is exported to ONNX
                 and OpenVINO format. Defaults to None.
             transform (Transform | None, optional): Input transform to include in the exported model. If not provided,
-                the engine will try to use the transform from the datamodule or dataset. Defaults to None.
+                the engine will try to use the default transform from the model.
+                Defaults to ``None``.
             ov_args (dict[str, Any] | None, optional): This is optional and used only for OpenVINO's model optimizer.
                 Defaults to None.
             ckpt_path (str | Path | None): Checkpoint path. If provided, the model will be loaded from this path.
@@ -897,22 +898,25 @@ def export(
         CLI Usage:
             1. To export as a torch ``.pt`` file you can run the following command.
                 ```python
-                anomalib export --model Padim --export_mode TORCH --data MVTec
+                anomalib export --model Padim --export_mode torch --ckpt_path <PATH_TO_CHECKPOINT>
                 ```
             2. To export as an ONNX ``.onnx`` file you can run the following command.
                 ```python
-                anomalib export --model Padim --export_mode ONNX --data Visa --input_size "[256,256]"
+                anomalib export --model Padim --export_mode onnx --ckpt_path <PATH_TO_CHECKPOINT> \
+                --input_size "[256,256]"
                 ```
             3. To export as an OpenVINO ``.xml`` and ``.bin`` file you can run the following command.
                 ```python
-                anomalib export --model Padim --export_mode OPENVINO --data Visa --input_size "[256,256]"
+                anomalib export --model Padim --export_mode openvino --ckpt_path <PATH_TO_CHECKPOINT> \
+                --input_size "[256,256]"
                 ```
             4. You can also overrride OpenVINO model optimizer by adding the ``--ov_args.<key>`` arguments.
                 ```python
-                anomalib export --model Padim --export_mode OPENVINO --data Visa --input_size "[256,256]" \
-                    --ov_args.compress_to_fp16 False
+                anomalib export --model Padim --export_mode openvino --ckpt_path <PATH_TO_CHECKPOINT> \
+                --input_size "[256,256]" --ov_args.compress_to_fp16 False
                 ```
         """
+        export_type = ExportType(export_type)
         self._setup_trainer(model)
         if ckpt_path:
             ckpt_path = Path(ckpt_path).resolve()