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https://github.com/blakeblackshear/frigate.git
synced 2025-01-21 00:06:44 +01:00
additional shutdown optimizations (#5380)
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@ -416,10 +416,15 @@ class FrigateApp:
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logger.info(f"Stopping...")
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self.stop_event.set()
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# Set the events for the camera processor processes because
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# they may be waiting on the event coming out of the detection process
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for name in self.config.cameras.keys():
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self.detection_out_events[name].set()
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for detector in self.detectors.values():
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detector.stop()
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# Empty the detection queue and set the events for all requests
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while not self.detection_queue.empty():
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connection_id = self.detection_queue.get(timeout=1)
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self.detection_out_events[connection_id].set()
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self.detection_queue.close()
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self.detection_queue.join_thread()
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self.dispatcher.stop()
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self.detected_frames_processor.join()
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@ -431,9 +436,6 @@ class FrigateApp:
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self.frigate_watchdog.join()
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self.db.stop()
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for detector in self.detectors.values():
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detector.stop()
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while len(self.detection_shms) > 0:
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shm = self.detection_shms.pop()
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shm.close()
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@ -445,6 +447,7 @@ class FrigateApp:
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self.video_output_queue,
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self.detected_frames_queue,
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self.recordings_info_queue,
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self.log_queue,
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]:
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while not queue.empty():
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queue.get_nowait()
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@ -180,12 +180,13 @@ class ObjectDetectProcess:
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class RemoteObjectDetector:
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def __init__(self, name, labels, detection_queue, event, model_config):
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def __init__(self, name, labels, detection_queue, event, model_config, stop_event):
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self.labels = labels
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self.name = name
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self.fps = EventsPerSecond()
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self.detection_queue = detection_queue
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self.event = event
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self.stop_event = stop_event
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self.shm = mp.shared_memory.SharedMemory(name=self.name, create=False)
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self.np_shm = np.ndarray(
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(1, model_config.height, model_config.width, 3),
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@ -200,11 +201,14 @@ class RemoteObjectDetector:
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def detect(self, tensor_input, threshold=0.4):
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detections = []
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if self.stop_event.is_set():
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return detections
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# copy input to shared memory
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self.np_shm[:] = tensor_input[:]
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self.event.clear()
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self.detection_queue.put(self.name)
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result = self.event.wait(timeout=10.0)
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result = self.event.wait(timeout=5.0)
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# if it timed out
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if result is None:
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@ -160,6 +160,7 @@ def capture_frames(
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fps: mp.Value,
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skipped_fps: mp.Value,
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current_frame: mp.Value,
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stop_event: mp.Event,
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):
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frame_size = frame_shape[0] * frame_shape[1]
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@ -177,6 +178,9 @@ def capture_frames(
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try:
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frame_buffer[:] = ffmpeg_process.stdout.read(frame_size)
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except Exception as e:
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# shutdown has been initiated
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if stop_event.is_set():
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break
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logger.error(f"{camera_name}: Unable to read frames from ffmpeg process.")
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if ffmpeg_process.poll() != None:
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@ -340,6 +344,7 @@ class CameraWatchdog(threading.Thread):
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self.frame_shape,
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self.frame_queue,
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self.camera_fps,
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self.stop_event,
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)
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self.capture_thread.start()
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@ -368,13 +373,16 @@ class CameraWatchdog(threading.Thread):
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class CameraCapture(threading.Thread):
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def __init__(self, camera_name, ffmpeg_process, frame_shape, frame_queue, fps):
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def __init__(
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self, camera_name, ffmpeg_process, frame_shape, frame_queue, fps, stop_event
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):
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threading.Thread.__init__(self)
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self.name = f"capture:{camera_name}"
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self.camera_name = camera_name
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self.frame_shape = frame_shape
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self.frame_queue = frame_queue
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self.fps = fps
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self.stop_event = stop_event
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self.skipped_fps = EventsPerSecond()
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self.frame_manager = SharedMemoryFrameManager()
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self.ffmpeg_process = ffmpeg_process
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@ -392,6 +400,7 @@ class CameraCapture(threading.Thread):
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self.fps,
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self.skipped_fps,
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self.current_frame,
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self.stop_event,
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)
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@ -461,7 +470,7 @@ def track_camera(
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motion_contour_area,
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)
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object_detector = RemoteObjectDetector(
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name, labelmap, detection_queue, result_connection, model_config
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name, labelmap, detection_queue, result_connection, model_config, stop_event
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)
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object_tracker = ObjectTracker(config.detect)
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@ -723,9 +732,6 @@ def process_frames(
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object_filters,
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)
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)
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# if frigate is exiting
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if stop_event.is_set():
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return
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#########
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# merge objects, check for clipped objects and look again up to 4 times
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@ -790,9 +796,7 @@ def process_frames(
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refining = True
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else:
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selected_objects.append(obj)
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# if frigate is exiting
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if stop_event.is_set():
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return
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# set the detections list to only include top, complete objects
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# and new detections
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detections = selected_objects
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