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cleanup detection shms
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12c4cd77c5
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@ -174,10 +174,15 @@ def main():
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# Queue for clip processing
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event_queue = mp.Queue()
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# create the detection pipes
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# create the detection pipes and shms
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out_events = {}
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camera_shms = []
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for name in CONFIG['cameras'].keys():
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out_events[name] = mp.Event()
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shm_in = mp.shared_memory.SharedMemory(name=name, create=True, size=300*300*3)
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shm_out = mp.shared_memory.SharedMemory(name=f"out-{name}", create=True, size=20*6*4)
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camera_shms.append(shm_in)
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camera_shms.append(shm_out)
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detection_queue = mp.Queue()
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@ -302,6 +307,9 @@ def main():
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camera_process['capture_thread'].join()
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for detector in detectors:
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detector.stop()
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for shm in camera_shms:
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shm.close()
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shm.unlink()
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sys.exit()
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signal.signal(signal.SIGTERM, receiveSignal)
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@ -165,9 +165,9 @@ class RemoteObjectDetector():
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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.shm = mp.shared_memory.SharedMemory(name=self.name, create=True, size=300*300*3)
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self.shm = mp.shared_memory.SharedMemory(name=self.name, create=False)
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self.np_shm = np.ndarray((1,300,300,3), dtype=np.uint8, buffer=self.shm.buf)
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self.out_shm = mp.shared_memory.SharedMemory(name=f"out-{self.name}", create=True, size=20*6*4)
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self.out_shm = mp.shared_memory.SharedMemory(name=f"out-{self.name}", create=False)
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self.out_np_shm = np.ndarray((20,6), dtype=np.float32, buffer=self.out_shm.buf)
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def detect(self, tensor_input, threshold=.4):
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