68 lines
1.9 KiB
Python
68 lines
1.9 KiB
Python
import threading
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import queue
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import traceback
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from bsread import source, Source, PUB, SUB, PUSH, PULL, DEFAULT_DISPATCHER_URL
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from cam_server.pipeline.configuration import PipelineConfig
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#from processing import run as processing_pipeline
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from cam_server.pipeline.types.processing import run as processing_pipeline
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class Namespace(object):
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def __init__(self, **kwds):
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self.__dict__.update(kwds)
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def __repr__(self):
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items = self.__dict__.items()
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temp = []
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for name, value in items:
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if not name.startswith('_'):
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temp.append('%s=%r' % (name, value))
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temp.sort()
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return 'Namespace(%s)' % str.join(', ', temp)
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statistics=Namespace()
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pipeline_config = PipelineConfig("test_pipeline", parameters={"camera_name": "simulation", "function":"transparent"})
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def run_pipeline(port, pipeline_config, parameter_queue, stop_event):
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print ("Startint pipeline on port: ", port)
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try:
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processing_pipeline(stop_event, statistics, parameter_queue, camera_client, pipeline_config, port, MockBackgroundManager())
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except:
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traceback.print_exc()
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def get_data(port):
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with source(host="127.0.0.1", port=port, mode=SUB, receive_timeout = 3000) as stream:
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data = stream.receive()
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if not data:
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raise Exception("Received None message.")
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print (data.data.data.keys())
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OUTPUT_PORT = 12005
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stop_event = threading.Event()
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parameter_queue = queue.Queue()
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thread = threading.Thread(target=run_pipeline, args=(OUTPUT_PORT,pipeline_config, parameter_queue, stop_event))
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thread.start()
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get_data(OUTPUT_PORT)
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stop_event.set()
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thread.join(5.0)
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print ("Done")
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OUTPUT_PORT = 12006
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stop_event = threading.Event()
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parameter_queue = queue.Queue()
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thread = threading.Thread(target=run_pipeline, args=(OUTPUT_PORT,pipeline_config, parameter_queue, stop_event))
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thread.start()
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get_data(OUTPUT_PORT)
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stop_event.set()
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thread.join(5.0)
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print ("Done")
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