forked from Github/frigate
support multiple coral devices (fixes #100)
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@@ -48,15 +48,12 @@ class LocalObjectDetector(ObjectDetector):
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device_config = {"device": tf_device}
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edge_tpu_delegate = None
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try:
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print(f"Attempting to load TPU as {device_config['device']}")
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edge_tpu_delegate = load_delegate('libedgetpu.so.1.0', device_config)
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print("TPU found")
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except ValueError:
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if tf_device != 'cpu':
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try:
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print(f"Attempting to load TPU as pci:0")
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edge_tpu_delegate = load_delegate('libedgetpu.so.1.0', {"device": "pci:0"})
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print("PCIe TPU found")
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print(f"Attempting to load TPU as {device_config['device']}")
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edge_tpu_delegate = load_delegate('libedgetpu.so.1.0', device_config)
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print("TPU found")
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except ValueError:
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print("No EdgeTPU detected. Falling back to CPU.")
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@@ -135,9 +132,9 @@ def run_detector(detection_queue, out_events: Dict[str, mp.Event], avg_speed, st
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avg_speed.value = (avg_speed.value*9 + duration)/10
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class EdgeTPUProcess():
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def __init__(self, out_events, tf_device=None):
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def __init__(self, detection_queue, out_events, tf_device=None):
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self.out_events = out_events
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self.detection_queue = mp.Queue()
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self.detection_queue = detection_queue
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self.avg_inference_speed = mp.Value('d', 0.01)
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self.detection_start = mp.Value('d', 0.0)
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self.detect_process = None
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@@ -192,3 +189,7 @@ class RemoteObjectDetector():
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))
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self.fps.update()
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return detections
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def cleanup(self):
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self.shm.unlink()
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self.out_shm.unlink()
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@@ -117,10 +117,9 @@ def start_or_restart_ffmpeg(ffmpeg_cmd, frame_size, ffmpeg_process=None):
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def capture_frames(ffmpeg_process, camera_name, frame_shape, frame_manager: FrameManager,
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frame_queue, take_frame: int, fps:EventsPerSecond, skipped_fps: EventsPerSecond,
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stop_event: mp.Event, detection_frame: mp.Value, current_frame: mp.Value):
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stop_event: mp.Event, current_frame: mp.Value):
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frame_num = 0
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last_frame = 0
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frame_size = frame_shape[0] * frame_shape[1] * frame_shape[2]
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skipped_fps.start()
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while True:
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@@ -147,8 +146,8 @@ def capture_frames(ffmpeg_process, camera_name, frame_shape, frame_manager: Fram
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skipped_fps.update()
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continue
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# if the detection process is more than 1 second behind, skip this frame
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if detection_frame.value > 0.0 and (last_frame - detection_frame.value) > 1:
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# if the queue is full, skip this frame
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if frame_queue.full():
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skipped_fps.update()
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continue
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@@ -159,10 +158,9 @@ def capture_frames(ffmpeg_process, camera_name, frame_shape, frame_manager: Fram
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# add to the queue
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frame_queue.put(current_frame.value)
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last_frame = current_frame.value
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class CameraCapture(threading.Thread):
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def __init__(self, name, ffmpeg_process, frame_shape, frame_queue, take_frame, fps, detection_frame, stop_event):
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def __init__(self, name, ffmpeg_process, frame_shape, frame_queue, take_frame, fps, stop_event):
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threading.Thread.__init__(self)
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self.name = name
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self.frame_shape = frame_shape
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@@ -175,13 +173,12 @@ class CameraCapture(threading.Thread):
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self.ffmpeg_process = ffmpeg_process
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self.current_frame = mp.Value('d', 0.0)
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self.last_frame = 0
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self.detection_frame = detection_frame
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self.stop_event = stop_event
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def run(self):
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self.skipped_fps.start()
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capture_frames(self.ffmpeg_process, self.name, self.frame_shape, self.frame_manager, self.frame_queue, self.take_frame,
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self.fps, self.skipped_fps, self.stop_event, self.detection_frame, self.current_frame)
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self.fps, self.skipped_fps, self.stop_event, self.current_frame)
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def track_camera(name, config, frame_queue, frame_shape, detection_queue, result_connection, detected_objects_queue, fps, detection_fps, read_start, detection_frame, stop_event):
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print(f"Starting process for {name}: {os.getpid()}")
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