This commit is contained in:
Blake Blackshear 2020-09-25 19:00:59 -05:00
parent 574ee2a46f
commit efdcfcef97

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@ -126,8 +126,6 @@ def run_detector(detection_queue, out_events: Dict[str, mp.Event], avg_speed, st
# detect and send the output
start.value = datetime.datetime.now().timestamp()
# TODO: what is the overhead for pickling this result vs writing back to shared memory?
# I could try using an Event() and waiting in the other process before looking in memory...
detections = object_detector.detect_raw(input_frame)
duration = datetime.datetime.now().timestamp()-start.value
outputs[connection_id]['np'][:] = detections[:]
@ -179,16 +177,10 @@ class RemoteObjectDetector():
detections = []
# copy input to shared memory
# TODO: what if I just write it there in the first place?
self.np_shm[:] = tensor_input[:]
self.event.clear()
self.detection_queue.put(self.name)
self.event.wait()
# if self.result_connection.poll(10):
# raw_detections = self.result_connection.recv()
# else:
# return detections
for d in self.out_np_shm:
if d[1] < threshold: