Opt: use ONNX model converted from MXNet for faster OCR with MXNet fallback

deploy/Windows/config.py

@@ -38,6 +38,8 @@ class ConfigModel:
     StartOcrServer: bool = False
     OcrServerPort: int = 22268
     OcrClientAddress: str = "127.0.0.1:22268"
+    OcrBackend: str = "onnx"
+    IntraOpThreads: Optional[int] = None
 
     # Update
     EnableReload: bool = True

deploy/Windows/template.yaml

@@ -79,6 +79,14 @@ 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
+    # [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
+    # [Default] null
+    IntraOpThreads: null
 
   Update:
     # Use auto update and builtin updater feature