Get camera correctly created

frigate/camera/maintainer.py

@@ -1,7 +1,6 @@
 """Create and maintain camera processes / management."""
 
 import logging
-import multiprocessing as mp
 import os
 import shutil
 import threading
@@ -125,7 +124,6 @@ class CameraMaintainer(threading.Thread):
             return
 
         if runtime:
-            self.detection_out_events[name] = mp.Event()
             self.camera_metrics[name] = CameraMetrics()
             self.ptz_metrics[name] = PTZMetrics(autotracker_enabled=False)
             self.region_grids[name] = get_camera_regions_grid(
@@ -135,7 +133,20 @@ class CameraMaintainer(threading.Thread):
             )
 
             try:
+                largest_frame = max(
+                    [
+                        det.model.height * det.model.width * 3
+                        if det.model is not None
+                        else 320
+                        for det in self.config.detectors.values()
+                    ]
+                )
                 UntrackedSharedMemory(name=f"out-{name}", create=True, size=20 * 6 * 4)
+                UntrackedSharedMemory(
+                    name=name,
+                    create=True,
+                    size=largest_frame,
+                )
             except FileExistsError:
                 pass
 

frigate/object_detection/base.py

@@ -112,15 +112,18 @@ def run_detector(
     signal.signal(signal.SIGTERM, receiveSignal)
     signal.signal(signal.SIGINT, receiveSignal)
 
+    def create_output_shm(name: str):
+        out_shm = UntrackedSharedMemory(name=f"out-{name}", create=False)
+        out_np = np.ndarray((20, 6), dtype=np.float32, buffer=out_shm.buf)
+        outputs[name] = {"shm": out_shm, "np": out_np}
+
     frame_manager = SharedMemoryFrameManager()
     object_detector = LocalObjectDetector(detector_config=detector_config)
     detector_publisher = ObjectDetectorPublisher()
 
     outputs = {}
     for name in cameras:
-        out_shm = UntrackedSharedMemory(name=f"out-{name}", create=False)
-        out_np = np.ndarray((20, 6), dtype=np.float32, buffer=out_shm.buf)
-        outputs[name] = {"shm": out_shm, "np": out_np}
+        create_output_shm(name)
 
     while not stop_event.is_set():
         try:
@@ -141,6 +144,10 @@ def run_detector(
         detections = object_detector.detect_raw(input_frame)
         duration = datetime.datetime.now().timestamp() - start.value
         frame_manager.close(connection_id)
+
+        if connection_id not in outputs:
+            create_output_shm(connection_id)
+
         outputs[connection_id]["np"][:] = detections[:]
         detector_publisher.publish(connection_id, connection_id)
         start.value = 0.0