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fix shared memory store usage for events

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Blake Blackshear 2020-09-25 19:35:38 -05:00
parent efdcfcef97
commit 7e92e8bfe8
1 changed files with 4 additions and 4 deletions
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8
detect_objects.py
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@ -173,12 +173,12 @@ def main():
event_queue = mp.Queue() event_queue = mp.Queue()
# create the detection pipes # create the detection pipes
detection_pipes = {} out_events = {}
for name in CONFIG['cameras'].keys(): for name in CONFIG['cameras'].keys():
detection_pipes[name] = mp.Pipe(duplex=False) out_events[name] = mp.Event()
# Start the shared tflite process # Start the shared tflite process
tflite_process = EdgeTPUProcess(result_connections={ key:value[1] for (key,value) in detection_pipes.items() }, tf_device=TENSORFLOW_DEVICE) tflite_process = EdgeTPUProcess(out_events=out_events, tf_device=TENSORFLOW_DEVICE)
# create the camera processes # create the camera processes
camera_processes = {} camera_processes = {}
@ -264,7 +264,7 @@ def main():
} }
camera_process = mp.Process(target=track_camera, args=(name, config, frame_queue, frame_shape, camera_process = mp.Process(target=track_camera, args=(name, config, frame_queue, frame_shape,
tflite_process.detection_queue, detection_pipes[name][0], tracked_objects_queue, camera_processes[name]['process_fps'], tflite_process.detection_queue, out_events[name], tracked_objects_queue, camera_processes[name]['process_fps'],
camera_processes[name]['detection_fps'], camera_processes[name]['detection_fps'],
camera_processes[name]['read_start'], camera_processes[name]['detection_frame'], stop_event)) camera_processes[name]['read_start'], camera_processes[name]['detection_frame'], stop_event))
camera_process.daemon = True camera_process.daemon = True