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run face register and recognize API handlers in threadpool

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This commit is contained in:
Josh Hawkins 2026-05-29 07:45:23 -05:00
parent daf4a7ba20
commit d814905e6e
1 changed files with 4 additions and 4 deletions
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8
frigate/api/classification.py
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@ -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(