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cleanup
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@ -126,8 +126,6 @@ def run_detector(detection_queue, out_events: Dict[str, mp.Event], avg_speed, st
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# detect and send the output
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# detect and send the output
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start.value = datetime.datetime.now().timestamp()
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start.value = datetime.datetime.now().timestamp()
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# TODO: what is the overhead for pickling this result vs writing back to shared memory?
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# I could try using an Event() and waiting in the other process before looking in memory...
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detections = object_detector.detect_raw(input_frame)
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detections = object_detector.detect_raw(input_frame)
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duration = datetime.datetime.now().timestamp()-start.value
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duration = datetime.datetime.now().timestamp()-start.value
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outputs[connection_id]['np'][:] = detections[:]
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outputs[connection_id]['np'][:] = detections[:]
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@ -179,17 +177,11 @@ class RemoteObjectDetector():
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detections = []
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detections = []
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# copy input to shared memory
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# copy input to shared memory
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# TODO: what if I just write it there in the first place?
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self.np_shm[:] = tensor_input[:]
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self.np_shm[:] = tensor_input[:]
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self.event.clear()
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self.event.clear()
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self.detection_queue.put(self.name)
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self.detection_queue.put(self.name)
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self.event.wait()
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self.event.wait()
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# if self.result_connection.poll(10):
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# raw_detections = self.result_connection.recv()
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# else:
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# return detections
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for d in self.out_np_shm:
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for d in self.out_np_shm:
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if d[1] < threshold:
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if d[1] < threshold:
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break
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break
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