🛠 Fix openvino circular import issue (#416)

* Fix openvino circular import issue

* Update README.md to correct openvino example.

README.md

@@ -189,15 +189,12 @@ optimization:
 Example OpenVINO Inference:
 
 ```bash
-python tools/inference.py \
-    --config  \
-    anomalib/models/padim/config.yaml  \
-    --weight_path  \
-    results/padim/mvtec/bottle/compressed/compressed_model.xml  \
-    --image_path  \
-    datasets/MVTec/bottle/test/broken_large/000.png  \
-    --meta_data  \
-    results/padim/mvtec/bottle/compressed/meta_data.json
+python tools/inference/openvino_inference.py \
+    --config anomalib/models/padim/config.yaml \
+    --weight_path results/padim/mvtec/bottle/openvino/openvino_model.bin \
+    --image_path datasets/MVTec/bottle/test/broken_large/000.png \
+    --meta_data results/padim/mvtec/bottle/openvino/meta_data.json \
+    --save_path results/padim/mvtec/bottle/images
 ```
 
 > Ensure that you provide path to `meta_data.json` if you want the normalization to be applied correctly.

anomalib/deploy/__init__.py

@@ -14,7 +14,7 @@
 # See the License for the specific language governing permissions
 # and limitations under the License.
 
-from .inferencers import OpenVINOInferencer, TorchInferencer
+from .inferencers import Inferencer, OpenVINOInferencer, TorchInferencer
 from .optimize import export_convert, get_model_metadata
 
-__all__ = ["OpenVINOInferencer", "TorchInferencer", "export_convert", "get_model_metadata"]
+__all__ = ["Inferencer", "OpenVINOInferencer", "TorchInferencer", "export_convert", "get_model_metadata"]

anomalib/deploy/inferencers/__init__.py

@@ -14,8 +14,8 @@
 # See the License for the specific language governing permissions
 # and limitations under the License.
 
-from .base import Inferencer
-from .openvino import OpenVINOInferencer
-from .torch import TorchInferencer
+from .base_inference import Inferencer
+from .openvino_inference import OpenVINOInferencer
+from .torch_inference import TorchInferencer
 
 __all__ = ["Inferencer", "OpenVINOInferencer", "TorchInferencer"]

anomalib/deploy/inferencers/openvino.py → anomalib/deploy/inferencers/openvino_inference.py

@@ -24,7 +24,7 @@
 
 from anomalib.pre_processing import PreProcessor
 
-from .base import Inferencer
+from .base_inference import Inferencer
 
 if find_spec("openvino") is not None:
     from openvino.inference_engine import (  # type: ignore  # pylint: disable=no-name-in-module

anomalib/deploy/inferencers/torch.py → anomalib/deploy/inferencers/torch_inference.py

@@ -28,7 +28,7 @@
 from anomalib.models.components import AnomalyModule
 from anomalib.pre_processing import PreProcessor
 
-from .base import Inferencer
+from .base_inference import Inferencer
 
 
 class TorchInferencer(Inferencer):

tools/inference/gradio_inference.py

@@ -15,7 +15,7 @@
 from skimage.segmentation import mark_boundaries
 
 from anomalib.config import get_configurable_parameters
-from anomalib.deploy.inferencers.base import Inferencer
+from anomalib.deploy import Inferencer
 from anomalib.post_processing import compute_mask, superimpose_anomaly_map
 
 

tools/inference/openvino.py → tools/inference/openvino_inference.py

@@ -27,8 +27,7 @@
 from torchvision.datasets.folder import IMG_EXTENSIONS
 
 from anomalib.config import get_configurable_parameters
-from anomalib.deploy.inferencers import OpenVINOInferencer
-from anomalib.deploy.inferencers.base import Inferencer
+from anomalib.deploy import Inferencer, OpenVINOInferencer
 
 
 def get_args() -> Namespace: