Various fixes (#14786)

* Catch openvino error

* Remove clip deletion

* Update deletion text

* Fix timeline not respecting timezone config

* Tweaks

* More timezone fixes

* Fix

* More timezone fixes

* Fix shm docs

frigate/api/event.py

@@ -1042,9 +1042,6 @@ def delete_event(request: Request, event_id: str):
         media.unlink(missing_ok=True)
         media = Path(f"{os.path.join(CLIPS_DIR, media_name)}-clean.png")
         media.unlink(missing_ok=True)
-    if event.has_clip:
-        media = Path(f"{os.path.join(CLIPS_DIR, media_name)}.mp4")
-        media.unlink(missing_ok=True)
 
     event.delete_instance()
     Timeline.delete().where(Timeline.source_id == event_id).execute()

frigate/app.py

@@ -521,9 +521,9 @@ class FrigateApp:
             f"Calculated total camera size {available_shm} / {cam_total_frame_size} :: {shm_frame_count} frames for each camera in SHM"
         )
 
-        if shm_frame_count < 10:
+        if shm_frame_count < 20:
             logger.warning(
-                f"The current SHM size of {total_shm}MB is too small, recommend increasing it to at least {round(min_req_shm + cam_total_frame_size * 10)}MB."
+                f"The current SHM size of {total_shm}MB is too small, recommend increasing it to at least {round(min_req_shm + cam_total_frame_size * 20)}MB."
             )
 
         return shm_frame_count

frigate/util/model.py

@@ -1,5 +1,6 @@
 """Model Utils"""
 
+import logging
 import os
 from typing import Any
 
@@ -11,6 +12,8 @@ except ImportError:
     # openvino is not included
     pass
 
+logger = logging.getLogger(__name__)
+
 
 def get_ort_providers(
     force_cpu: bool = False, device: str = "AUTO", requires_fp16: bool = False
@@ -89,19 +92,27 @@ class ONNXModelRunner:
         self.ort: ort.InferenceSession = None
         self.ov: ov.Core = None
         providers, options = get_ort_providers(device == "CPU", device, requires_fp16)
+        self.interpreter = None
 
         if "OpenVINOExecutionProvider" in providers:
-            # use OpenVINO directly
-            self.type = "ov"
-            self.ov = ov.Core()
-            self.ov.set_property(
-                {ov.properties.cache_dir: "/config/model_cache/openvino"}
-            )
-            self.interpreter = self.ov.compile_model(
-                model=model_path, device_name=device
-            )
-        else:
-            # Use ONNXRuntime
+            try:
+                # use OpenVINO directly
+                self.type = "ov"
+                self.ov = ov.Core()
+                self.ov.set_property(
+                    {ov.properties.cache_dir: "/config/model_cache/openvino"}
+                )
+                self.interpreter = self.ov.compile_model(
+                    model=model_path, device_name=device
+                )
+            except Exception as e:
+                logger.warning(
+                    f"OpenVINO failed to build model, using CPU instead: {e}"
+                )
+                self.interpreter = None
+
+        # Use ONNXRuntime
+        if self.interpreter is None:
             self.type = "ort"
             self.ort = ort.InferenceSession(
                 model_path,