Feat: adopt upstream standalone ONNX OCR backend

Adopt the standalone OnnxOcr from upstream PR #5893 (381bb8d05,
by Horizon101011), which vendors cnocr's pure-Python pipeline so
the ONNX path loads no mxnet at runtime. Backend is selected via
deploy config, keeping onnxruntime a standard dependency and onnx
the default.

Co-authored-by: Horizon101011 <43370844+Horizon101011@users.noreply.github.com>

deploy/Windows/config.py

@@ -39,7 +39,7 @@ class ConfigModel:
     OcrServerPort: int = 22268
     OcrClientAddress: str = "127.0.0.1:22268"
     OcrBackend: str = "onnx"
-    IntraOpThreads: Optional[int] = None
+    OnnxIntraOpThreads: Optional[int] = None
 
     # Update
     EnableReload: bool = True

deploy/Windows/template.yaml

@@ -65,7 +65,7 @@ Deploy:
     InstallUiautomator2: true
 
   Ocr:
-    # Run Ocr as a service, can reduce memory usage by not import mxnet everytime you start an alas instance
+    # Run Ocr as a service, can reduce memory usage by not import OCR dependencies everytime you start an alas instance
 
     # Whether to use ocr server
     # [Default] false
@@ -79,14 +79,13 @@ Deploy:
     # Address of ocr server for alas instance to connect
     # [Default] 127.0.0.1:22268
     OcrClientAddress: 127.0.0.1:22268
-    # Use higher-performance backend for OCR instead of MXNet
-    # Available backends: onnx
+    # Backend used for OCR
+    # Available backends: mxnet, onnx
     # [Default] onnx
     OcrBackend: onnx
-    # Number of threads used for intra-op parallelism in the ONNX session
-    # Leave as default if you are unsure of the impact
+    # Number of threads used for intra-op parallelism in ONNX Runtime
     # [Default] null
-    IntraOpThreads: null
+    OnnxIntraOpThreads: null
 
   Update:
     # Use auto update and builtin updater feature