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https://github.com/blakeblackshear/frigate.git
synced 2024-11-21 19:07:46 +01:00
allow setting specific edgetpu in config
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parent
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@ -1,5 +1,11 @@
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web_port: 5000
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################
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## Tell frigate to look for a specific EdgeTPU device. Useful if you want to run multiple instances of frigate
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## on the same machine with multiple EdgeTPUs. https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api
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################
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tensorflow_device: usb
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mqtt:
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host: mqtt.server.com
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topic_prefix: frigate
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@ -61,6 +61,7 @@ GLOBAL_OBJECT_CONFIG = CONFIG.get('objects', {})
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WEB_PORT = CONFIG.get('web_port', 5000)
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DEBUG = (CONFIG.get('debug', '0') == '1')
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TENSORFLOW_DEVICE = CONFIG.get('tensorflow_device')
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def start_plasma_store():
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plasma_cmd = ['plasma_store', '-m', '400000000', '-s', '/tmp/plasma']
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@ -190,7 +191,7 @@ def main():
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event_queue = mp.Queue()
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# Start the shared tflite process
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tflite_process = EdgeTPUProcess()
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tflite_process = EdgeTPUProcess(TENSORFLOW_DEVICE)
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# start the camera processes
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camera_processes = {}
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@ -34,18 +34,24 @@ class ObjectDetector(ABC):
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pass
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class LocalObjectDetector(ObjectDetector):
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def __init__(self, labels=None):
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def __init__(self, tf_device=None, labels=None):
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if labels is None:
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self.labels = {}
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else:
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self.labels = load_labels(labels)
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device_config = {"device": "usb"}
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if not tf_device is None:
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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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edge_tpu_delegate = load_delegate('libedgetpu.so.1.0', {"device": "usb"})
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print("USB 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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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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except ValueError:
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@ -92,11 +98,11 @@ class LocalObjectDetector(ObjectDetector):
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return detections
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def run_detector(detection_queue, avg_speed, start):
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def run_detector(detection_queue, avg_speed, start, tf_device):
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print(f"Starting detection process: {os.getpid()}")
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listen()
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plasma_client = plasma.connect("/tmp/plasma")
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object_detector = LocalObjectDetector()
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object_detector = LocalObjectDetector(tf_device=tf_device)
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while True:
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object_id_str = detection_queue.get()
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@ -117,11 +123,12 @@ def run_detector(detection_queue, avg_speed, start):
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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):
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def __init__(self, tf_device=None):
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self.detection_queue = mp.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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self.tf_device = tf_device
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self.start_or_restart()
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def start_or_restart(self):
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@ -134,7 +141,7 @@ class EdgeTPUProcess():
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print("Detection process didnt exit. Force killing...")
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self.detect_process.kill()
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self.detect_process.join()
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self.detect_process = mp.Process(target=run_detector, args=(self.detection_queue, self.avg_inference_speed, self.detection_start))
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self.detect_process = mp.Process(target=run_detector, args=(self.detection_queue, self.avg_inference_speed, self.detection_start, self.tf_device))
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self.detect_process.daemon = True
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self.detect_process.start()
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