115 lines
3.8 KiB
Python
115 lines
3.8 KiB
Python
import ch.psi.pshell.imaging.ImageBuffer as ImageBuffer
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import java.math.BigInteger as BigInteger
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import org.python.core.PyLong as PyLong
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import org.python.core.PyFloat as PyFloat
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import json
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import traceback
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import datetime
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PARALLELIZE = True
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if get_exec_pars().source == CommandSource.ui:
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camera_name = "SLG-LCAM-C041_sp"
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shared = False
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images = 10
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interval = 1000
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else:
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camera_name = args[0]
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shared = args[1].lower() == "true"
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images = int(args[2])
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interval = int(args[3])
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set_exec_pars(name="camera_snapshot")
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path_image = "/image"
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path_pid = "/pulse_id"
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path_timestamp_str = "/timestamp_str"
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snapshotFile = None
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if shared:
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cam_server.start(camera_name + "_sp1", shared)
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else:
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cam_server.start(camera_name)
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def append_frame(data, stream_value, index):
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global path_image
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print "Saving frame :", index
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append_dataset(path_image, data, index)
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append_dataset(path_pid, stream_value.getPulseId(), index)
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append_dataset(path_timestamp_str, datetime.datetime.fromtimestamp(stream_value.timestampNanos/1e9).strftime('%Y-%m-%d %H:%M:%S'), index)
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for id in stream_value.identifiers:
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try:
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val = stream_value.getValue(id)
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if id == "image":
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pass
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elif isinstance(val, PyArray):
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append_dataset("/"+id, val, index)
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elif isinstance(val, PyLong):
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append_dataset("/"+id, int(val), index)
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elif isinstance(val, PyFloat):
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append_dataset("/"+id, float(val), index)
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else:
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pass
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except:
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print id, val
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traceback.print_exc()
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print "Saved frame :", index
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tasks = []
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cam_server.waitNext(10000)
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for i in range(images):
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if i==0:
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stream_value = cam_server.stream.take()
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width = cam_server.data.width
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height = cam_server.data.height
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create_dataset(path_image, 'd', dimensions = [height, width, images])
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create_dataset(path_pid, 'l', dimensions = [images])
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create_dataset(path_timestamp_str, 's', dimensions = [images])
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for id in stream_value.identifiers:
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val = stream_value.getValue(id)
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if id == "image":
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pass
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elif id == "processing_parameters":
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val = json.loads(val)
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for key in val.keys():
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set_attribute(path_image, key, "" if val[key] is None else val[key] )
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elif isinstance(val, PyArray):
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create_dataset("/"+id, 'd', dimensions = [images, len(val)])
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elif isinstance(val, PyLong):
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create_dataset("/"+id, 'l', dimensions = [images])
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elif isinstance(val, PyFloat):
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create_dataset("/"+id, 'd', dimensions = [images])
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else:
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print "Unmanaged stream type: ", val, type(val)
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pass
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start = time.time()
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stream_value = cam_server.stream.take()
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if PARALLELIZE:
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tasks.extend( fork((append_frame,(cam_server.data.matrix,stream_value, i)),) )
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else:
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append_frame(cam_server.data.matrix, stream_value, i)
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if i< (images-1):
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if interval<=0:
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cam_server.waitNext(10000)
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else:
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sleep_time = float(interval)/1000.0 - (time.time()-start)
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if (sleep_time>0):
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print "Sleeping ", sleep_time
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time.sleep(sleep_time)
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print "Waiting finish persisting..."
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join(tasks)
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print "Done"
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#Enforce the same timestamp to data & image files.
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set_exec_pars(open = False)
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data_file = get_exec_pars().path
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set_return(data_file) |