From 5e4b1acca0cf85e079624ab15c1fc9a52179002c Mon Sep 17 00:00:00 2001
From: Stef <stbuwalda@gmail.com>
Date: Fri, 25 Apr 2025 07:55:49 +0200
Subject: [PATCH] Sped up ANPR

Sped up ANPR by only creating one ANPR instance, rather than initializing a new one every function call.
---
 instance/data.sqlite | Bin 28672 -> 32768 bytes
 server.py            |   6 +++---
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/instance/data.sqlite b/instance/data.sqlite
index e8ddcf038eb72661abbf168d7eaa75f3e92a59ed..049201d8704ffaef1d3dca190f9d990cc47b0564 100644
GIT binary patch
delta 1966
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delta 61
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diff --git a/server.py b/server.py
index 3372366..2df8711 100644
--- a/server.py
+++ b/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: