Fixes (#18500)

* fix i18n keys

* hide disable from context menu for viewers

* Fix auto live check for default dashboard and camera groups

Disabling the Automatic Live View switch in Settings should prevent streaming from occurring. Overriding any settings in a camera group will override the global setting. The check here incorrectly always returned false instead of undefined.

* clarify hardware accelerated enrichments

* clarify

* add note about detect stream to face rec docs

* add note about low end Dahuas for autotracking

* Catch invalid face box / image

* Video tab tweaks

With the changes in https://github.com/blakeblackshear/frigate/pull/18220, the video tab in the Tracked Object Details pane now correctly trims the in-browser HLS video. Because of keyframes and record/detect stream differences, we can manually subtract a couple of seconds from the event start_time to ensure the first few frames aren't cut off from the video

* Clarify

* Don't use Migraphx by default

* Provide better support for running embeddings on GPU

* correctly join cameras

* Adjust blur confidence reduction

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

frigate/api/classification.py

@@ -154,7 +154,25 @@ def train_face(request: Request, name: str, body: dict = None):
         x2 = x1 + int(face_box[2] * detect_config.width) - 4
         y2 = y1 + int(face_box[3] * detect_config.height) - 4
         face = snapshot[y1:y2, x1:x2]
-        cv2.imwrite(os.path.join(new_file_folder, new_name), face)
+        success = True
+
+        if face.size > 0:
+            try:
+                cv2.imwrite(os.path.join(new_file_folder, new_name), face)
+                success = True
+            except Exception:
+                pass
+
+        if not success:
+            return JSONResponse(
+                content=(
+                    {
+                        "success": False,
+                        "message": "Invalid face box or no face exists",
+                    }
+                ),
+                status_code=404,
+            )
 
     context: EmbeddingsContext = request.app.embeddings
     context.clear_face_classifier()