Implement face recognition training in UI (#15786)

* Rename debug to train

* Add api to train image as person

* Cleanup model running

* Formatting

* Fix

* Set face recognition page title

frigate/api/classification.py

@@ -2,6 +2,9 @@
 
 import logging
 import os
+import random
+import shutil
+import string
 
 from fastapi import APIRouter, Request, UploadFile
 from fastapi.responses import JSONResponse
@@ -22,7 +25,13 @@ def get_faces():
 
     for name in os.listdir(FACE_DIR):
         face_dict[name] = []
-        for file in os.listdir(os.path.join(FACE_DIR, name)):
+
+        face_dir = os.path.join(FACE_DIR, name)
+
+        if not os.path.isdir(face_dir):
+            continue
+
+        for file in os.listdir(face_dir):
             face_dict[name].append(file)
 
     return JSONResponse(status_code=200, content=face_dict)
@@ -38,6 +47,39 @@ async def register_face(request: Request, name: str, file: UploadFile):
     )
 
 
+@router.post("/faces/train/{name}/classify")
+def train_face(name: str, body: dict = None):
+    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,
+        )
+
+    rand_id = "".join(random.choices(string.ascii_lowercase + string.digits, k=6))
+    new_name = f"{name}-{rand_id}.webp"
+    new_file = os.path.join(FACE_DIR, f"{name}/{new_name}")
+    shutil.move(training_file, new_file)
+    return JSONResponse(
+        content=(
+            {
+                "success": True,
+                "message": f"Successfully saved {training_file} as {new_name}.",
+            }
+        ),
+        status_code=200,
+    )
+
+
 @router.post("/faces/{name}/delete")
 def deregister_faces(request: Request, name: str, body: dict = None):
     json: dict[str, any] = body or {}