From d814905e6e7cb00e6110164282a0016bc15e5c7e Mon Sep 17 00:00:00 2001
From: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
Date: Fri, 29 May 2026 07:45:23 -0500
Subject: [PATCH] run face register and recognize API handlers in threadpool

---
 frigate/api/classification.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/frigate/api/classification.py b/frigate/api/classification.py
index dea4d28b21..6dd7055092 100644
--- a/frigate/api/classification.py
+++ b/frigate/api/classification.py
@@ -280,7 +280,7 @@ async def create_face(request: Request, name: str):
     success response with details about the registration, or an error if face recognition
     is not enabled or the image cannot be processed.""",
 )
-async def register_face(request: Request, name: str, file: UploadFile):
+def register_face(request: Request, name: str, file: UploadFile):
     if not request.app.frigate_config.face_recognition.enabled:
         return JSONResponse(
             status_code=400,
@@ -288,7 +288,7 @@ async def register_face(request: Request, name: str, file: UploadFile):
         )
 
     context: EmbeddingsContext = request.app.embeddings
-    result = None if context is None else context.register_face(name, await file.read())
+    result = None if context is None else context.register_face(name, file.file.read())
 
     if not isinstance(result, dict):
         return JSONResponse(
@@ -313,7 +313,7 @@ async def register_face(request: Request, name: str, file: UploadFile):
     registered faces in the system. Returns the recognized face name and confidence score,
     or an error if face recognition is not enabled or the image cannot be processed.""",
 )
-async def recognize_face(request: Request, file: UploadFile):
+def recognize_face(request: Request, file: UploadFile):
     if not request.app.frigate_config.face_recognition.enabled:
         return JSONResponse(
             status_code=400,
@@ -321,7 +321,7 @@ async def recognize_face(request: Request, file: UploadFile):
         )
 
     context: EmbeddingsContext = request.app.embeddings
-    result = context.recognize_face(await file.read())
+    result = context.recognize_face(file.file.read())
 
     if not isinstance(result, dict):
         return JSONResponse(