109 lines
4.6 KiB
Python
109 lines
4.6 KiB
Python
run("Devices/Elements")
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def _create_tables(paths, stream_value, data_type, shape):
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root = paths["root"]
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create_dataset(paths["image"], data_type, dimensions = [images, shape[0], shape[1]])
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create_dataset(paths["pid"], 'l', dimensions = [images])
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create_dataset(paths["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(paths["image"], key, "" if val[key] is None else val[key] )
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elif isinstance(val, PyArray):
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create_dataset(root + id, 'd', dimensions = [images, len(val)])
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elif isinstance(val, PyLong):
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create_dataset(root + id, 'l', dimensions = [images])
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elif isinstance(val, PyFloat):
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create_dataset(root + 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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def _append_frame(paths, stream_value, index, data_type, shape):
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print "Saving frame :", index
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#append_dataset(paths["image"], data, index, type = data_type)
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root = paths["root"]
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append_dataset(paths["image"], stream_value.getValue("image"),[index,0,0], type = data_type, shape=[1, shape[0], shape[1]])
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append_dataset(paths["pid"], stream_value.getPulseId(), index)
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append_dataset(paths["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(root + id, val, index)
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elif isinstance(val, PyLong):
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append_dataset(root + id, int(val), index)
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elif isinstance(val, PyFloat):
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append_dataset(root + 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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def _write_metadata(paths, camera_name, shared = False, images = 1, interval = -1):
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root = paths["root"]
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set_attribute(root, "Name", camera_name)
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set_attribute(root, "Shared", shared)
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set_attribute(root, "Images", images)
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set_attribute(root, "Interval", interval)
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cam_type = get_camera_type(camera_name)
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set_attribute(root, "Type", cam_type)
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if cam_type=="ELECTRONS":
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set_attribute(root, "Screen", caget(camera_name + (":POSITION" if (camera_name.startswith("DSRM")) else ":GET_SCREEN1_POS"), 's'))
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set_attribute(root, "Filter", caget(camera_name + ":GET_FILTER", 's'))
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def save_camera_data(server, camera_name, shared = False, root = "/", images = 1, interval = -1, parallel = True, pause = False):
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stream_value = server.stream.take()
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if stream_value is None:
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server.waitNext(10000)
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stream_value = server.stream.take()
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if not root.endswith('/'):
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root = root + "/"
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paths = {"root": root, "image":root+"image", "pid":root+"/pulse_id", "timestamp_str":root+"/timestamp_str"}
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shape = [stream_value.getValue("height"),stream_value.getValue("width")]
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data_type = stream_value.getValue("image").typecode
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tasks = []
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if pause:
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server.paused = True
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try:
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for i in range(images):
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if i==0:
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_create_tables(paths, stream_value, data_type, shape)
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_write_metadata(paths, camera_name, shared, images, interval)
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start = time.time()
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stream_value = server.stream.take()
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if parallel:
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tasks.extend( fork((_append_frame,(paths, stream_value, i, data_type, shape)),) )
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else:
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_append_frame(paths, stream_value, i, data_type, shape)
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if i< (images-1):
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if interval<=0:
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server.stream.waitCacheChange(10000)
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else:
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sleep_time = float(interval)/1000.0 - (time.time()-start)
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time.sleep(max(sleep_time,0))
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finally:
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if pause:
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server.paused = False
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pass
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print "Waiting finish persisting..."
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join(tasks)
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print "Done"
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