fix: centralize OPENVINO_PROVIDER_CONFIG and log SystemExit

Address Sourcery review feedback on PR #1879:

- Move OPENVINO_PROVIDER_CONFIG from _onnx_enhancer.py to
  platform_info.py (a leaf module with no modules.* imports), so
  the enhancer and face_swapper no longer import each other just to
  share a constant. _onnx_enhancer re-exports it; face_swapper now
  imports it at module top level instead of inside get_face_swapper().
- Narrow run.py's SystemExit handling: catch SystemExit separately
  and print a [startup] message so the failure is visible instead
  of being swallowed alongside ImportError/FileNotFoundError.

modules/platform_info.py

@@ -42,6 +42,14 @@ HAS_COREML_PROVIDER: bool = "CoreMLExecutionProvider" in ONNX_PROVIDERS
 HAS_DML_PROVIDER: bool = "DmlExecutionProvider" in ONNX_PROVIDERS
 HAS_OPENVINO_PROVIDER: bool = "OpenVINOExecutionProvider" in ONNX_PROVIDERS
 
+# OpenVINO execution-provider config shared by every ONNX session builder.
+# AUTO:GPU,NPU,CPU lets OpenVINO pick the best available device in priority
+# order (Intel GPU → NPU → CPU). 
+OPENVINO_PROVIDER_CONFIG = (
+    "OpenVINOExecutionProvider",
+    {"device_type": "AUTO:GPU,NPU,CPU"},
+)
+
 
 def camera_backends() -> List[Tuple[int, int]]:
     """Return an ordered list of ``(device_index, cv2_backend)`` attempts.

modules/processors/frame/_onnx_enhancer.py

@@ -14,17 +14,13 @@ import numpy as np
 import onnxruntime
 
 import modules.globals
+from modules.platform_info import OPENVINO_PROVIDER_CONFIG
 
 IS_APPLE_SILICON = platform.system() == "Darwin" and platform.machine() == "arm64"
 
 # Limit concurrent ONNX calls to avoid VRAM exhaustion on multi-face frames
 THREAD_SEMAPHORE = threading.Semaphore(min(max(1, (os.cpu_count() or 1)), 8))
 
-# OpenVINO provider configuration.
-# AUTO:GPU,NPU,CPU lets OpenVINO try the best available device in priority
-# order (Intel GPU → NPU → CPU). 
-OPENVINO_PROVIDER_CONFIG = ("OpenVINOExecutionProvider", {"device_type": "AUTO:GPU,NPU,CPU"})
-
 
 def build_provider_config(providers=None):
     """Wrap raw provider name strings with optimised CUDA / CoreML options.

modules/processors/frame/face_swapper.py

@@ -18,6 +18,7 @@ from modules.utilities import (
 )
 from modules.cluster_analysis import find_closest_centroid
 from modules.gpu_processing import gpu_gaussian_blur, gpu_sharpen, gpu_add_weighted, gpu_resize
+from modules.platform_info import OPENVINO_PROVIDER_CONFIG
 import os
 from collections import deque
 import time
@@ -271,9 +272,6 @@ def get_face_swapper() -> Any:
                         # fastest on modern GPUs (Blackwell/sm_120).
                         providers_config.append(p)
                     elif p == "OpenVINOExecutionProvider":
-                        from modules.processors.frame._onnx_enhancer import (
-                            OPENVINO_PROVIDER_CONFIG,
-                        )
                         providers_config.append(OPENVINO_PROVIDER_CONFIG)
                     else:
                         providers_config.append(p)

run.py

@@ -33,14 +33,27 @@ if sys.platform == "win32":
 
     # On Windows, register OpenVINO DLL directories so onnxruntime's
     # OpenVINOExecutionProvider can find openvino.dll.  This must happen
-    # before any ONNX InferenceSession is created.
+    # before any ONNX InferenceSession is created.  Failure is non-fatal:
+    # OpenVINO simply isn't installed, and onnxruntime will fall back to CPU.
     try:
         from onnxruntime.tools.add_openvino_win_libs import (  # type: ignore[import-untyped]  # noqa: E501
             add_openvino_libs_to_path,
         )
         add_openvino_libs_to_path()
-    except (ImportError, FileNotFoundError, SystemExit):
-        pass  # OpenVINO not installed — no-op
+    except ImportError:
+        # onnxruntime build without the OpenVINO tooling module — no-op.
+        pass
+    except FileNotFoundError:
+        # OpenVINO site-packages dir absent — no-op.
+        pass
+    except SystemExit as exc:
+        # add_openvino_libs_to_path() calls sys.exit() when OpenVINO libs
+        # can't be located (e.g. OPENVINO_LIB_PATHS unset).  Log the message
+        # it raised with so the failure is visible, but keep startup alive.
+        print(
+            f"[startup] OpenVINO DLL registration skipped: {exc}",
+            flush=True,
+        )
 
 # On Linux, pre-load NVIDIA shared libraries (cuDNN, cuBLAS, nvrtc...) shipped
 # inside the venv via pip wheels (nvidia-cudnn-cu12, etc.). LD_LIBRARY_PATH