Sped up ANPR

Sped up ANPR by only creating one ANPR instance, rather than initializing a new one every function call.

server.py

@@ -12,6 +12,7 @@ torch.serialization.add_safe_globals(  # type: ignore
     {"DetectionModel": DetectionModel}  # type: ignore
 )
 
+anpr = ANPR()
 
 # Saving images locally
 UPLOAD_FOLDER = "uploads"
@@ -32,7 +33,7 @@ def data():
     with open("image.jpg", "wb") as f:
         f.write(data)
 
-    status = asyncio.run(process_image("image.jpg"))
+    status = asyncio.run(process_image(file="image.jpg", anpr=anpr))
     return jsonify(
         {
             "message": "Image sent succesfully",
@@ -41,9 +42,8 @@ def data():
     )
 
 
-async def process_image(file: str) -> bool:
+async def process_image(file: str, anpr: ANPR) -> bool:
     print("Processing image")
-    anpr = ANPR()
     anpr_info = await anpr.detect(file)  # type: ignore
     number_plate = anpr_info["plate_number"]
     if number_plate: