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@ -11,7 +11,7 @@ import zmq
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from peakfinder8_extension import peakfinder_8
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from peakfinder8_extension import peakfinder_8
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flags = 0
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FLAGS = 0
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def radial_profile(data, r, nr, keep_pixels=None):
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def radial_profile(data, r, nr, keep_pixels=None):
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@ -130,8 +130,8 @@ def main():
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events = dict(poller.poll(2000)) # check every 2 seconds in each worker
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events = dict(poller.poll(2000)) # check every 2 seconds in each worker
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if backend_socket in events:
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if backend_socket in events:
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metadata = backend_socket.recv_json(flags)
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metadata = backend_socket.recv_json(FLAGS)
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image = backend_socket.recv(flags, copy=False, track=False)
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image = backend_socket.recv(FLAGS, copy=False, track=False)
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image = np.frombuffer(image, dtype=metadata['type']).reshape(metadata['shape'])
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image = np.frombuffer(image, dtype=metadata['type']).reshape(metadata['shape'])
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results = copy(metadata)
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results = copy(metadata)
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@ -463,28 +463,28 @@ def main():
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frame_number = metadata['frame']
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frame_number = metadata['frame']
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#
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#
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accumulator_socket.send_json(results, flags)
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accumulator_socket.send_json(results, FLAGS)
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if (apply_aggregation != 0 ) and 'aggregation_max' in results:
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if (apply_aggregation != 0 ) and 'aggregation_max' in results:
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if forceSendVisualisation:
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if forceSendVisualisation:
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visualisation_socket.send_json(results, flags | zmq.SNDMORE)
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visualisation_socket.send_json(results, FLAGS | zmq.SNDMORE)
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visualisation_socket.send(data, flags, copy=True, track=True)
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visualisation_socket.send(data, FLAGS, copy=True, track=True)
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else:
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else:
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data = np.empty((2,2), dtype=np.uint16)
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data = np.empty((2,2), dtype=np.uint16)
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results['type'] = str(data.dtype)
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results['type'] = str(data.dtype)
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results['shape'] = data.shape
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results['shape'] = data.shape
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visualisation_socket.send_json(results, flags | zmq.SNDMORE)
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visualisation_socket.send_json(results, FLAGS | zmq.SNDMORE)
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visualisation_socket.send(data, flags, copy=True, track=True)
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visualisation_socket.send(data, FLAGS, copy=True, track=True)
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else:
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else:
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if results['is_good_frame'] and (results['is_hit_frame'] or randint(1, skip_frames_rate) == 1):
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if results['is_good_frame'] and (results['is_hit_frame'] or randint(1, skip_frames_rate) == 1):
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visualisation_socket.send_json(results, flags | zmq.SNDMORE)
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visualisation_socket.send_json(results, FLAGS | zmq.SNDMORE)
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visualisation_socket.send(data, flags, copy=True, track=True)
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visualisation_socket.send(data, FLAGS, copy=True, track=True)
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else:
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else:
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data = np.empty((2,2), dtype=np.uint16)
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data = np.empty((2,2), dtype=np.uint16)
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results['type'] = str(data.dtype)
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results['type'] = str(data.dtype)
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results['shape'] = data.shape
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results['shape'] = data.shape
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visualisation_socket.send_json(results, flags | zmq.SNDMORE)
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visualisation_socket.send_json(results, FLAGS | zmq.SNDMORE)
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visualisation_socket.send(data, flags, copy=True, track=True)
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visualisation_socket.send(data, FLAGS, copy=True, track=True)
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