Quick fix for face rec (#16226)

* Check both

* Fix api order

frigate/api/classification.py

@@ -41,19 +41,36 @@ def get_faces():
     return JSONResponse(status_code=200, content=face_dict)
 
 
-@router.post("/faces/{name}")
+@router.post("/faces/reprocess")
-async def register_face(request: Request, name: str, file: UploadFile):
+def reclassify_face(request: Request, body: dict = None):
     if not request.app.frigate_config.face_recognition.enabled:
         return JSONResponse(
             status_code=400,
             content={"message": "Face recognition is not enabled.", "success": False},
         )
 
-    context: EmbeddingsContext = request.app.embeddings
+    json: dict[str, any] = body or {}
-    result = context.register_face(name, await file.read())
+    training_file = os.path.join(
+        FACE_DIR, f"train/{sanitize_filename(json.get('training_file', ''))}"
+    )
+
+    if not training_file or not os.path.isfile(training_file):
         return JSONResponse(
-        status_code=200 if result.get("success", True) else 400,
+            content=(
-        content=result,
+                {
+                    "success": False,
+                    "message": f"Invalid filename or no file exists: {training_file}",
+                }
+            ),
+            status_code=404,
+        )
+
+    context: EmbeddingsContext = request.app.embeddings
+    response = context.reprocess_face(training_file)
+
+    return JSONResponse(
+        content=response,
+        status_code=200,
     )
 
 
@@ -100,36 +117,19 @@ def train_face(request: Request, name: str, body: dict = None):
     )
 
 
-@router.post("/faces/reprocess")
+@router.post("/faces/{name}")
-def reclassify_face(request: Request, name: str, body: dict = None):
+async def register_face(request: Request, name: str, file: UploadFile):
     if not request.app.frigate_config.face_recognition.enabled:
         return JSONResponse(
             status_code=400,
             content={"message": "Face recognition is not enabled.", "success": False},
         )
 
-    json: dict[str, any] = body or {}
-    training_file = os.path.join(
-        FACE_DIR, f"train/{sanitize_filename(json.get('training_file', ''))}"
-    )
-
-    if not training_file or not os.path.isfile(training_file):
-        return JSONResponse(
-            content=(
-                {
-                    "success": False,
-                    "message": f"Invalid filename or no file exists: {training_file}",
-                }
-            ),
-            status_code=404,
-        )
-
     context: EmbeddingsContext = request.app.embeddings
-    response = context.reprocess_face(training_file)
+    result = context.register_face(name, await file.read())
-
     return JSONResponse(
-        content=response,
+        status_code=200 if result.get("success", True) else 400,
-        status_code=200,
+        content=result,
     )
 
 

frigate/data_processing/real_time/face_processor.py

@@ -215,7 +215,7 @@ class FaceProcessor(RealTimeProcessorApi):
         if not self.landmark_detector:
             return None
 
-        if not self.recognizer:
+        if not self.label_map or not self.recognizer:
             self.__build_classifier()
 
             if not self.recognizer: