# Usage Example from enstools.feature.pipeline import FeaturePipeline from enstools.feature.identification.african_easterly_waves import AEWIdentification from enstools.feature.tracking.african_easterly_waves import AEWTracking from enstools.feature.identification._proto_gen import african_easterly_waves_pb2 from os.path import expanduser, join from enstools.feature.identification.african_easterly_waves.plotting import plot_timesteps_from_desc, plot_tracks_from_graph pipeline = FeaturePipeline(african_easterly_waves_pb2) # init AEWIdentification strategy, can take different parameters i_strat = AEWIdentification(wt_out_file=False, cv='cv') t_strat = AEWTracking() pipeline.set_identification_strategy(i_strat) pipeline.set_tracking_strategy(t_strat) # None data_path = join(expanduser("~") + '/phd/data/aew/cv/2008cv.nc') pipeline.set_data_path(data_path) # execute pipeline pipeline.execute() od = pipeline.get_object_desc() # just the identified objects and their connections in object_desc # generate the single tracks pipeline.generate_tracks() # out_netcdf_path = data_path + '_streamers.nc' out_json_path = data_path[:-3] + 'aew_desc.json' out_graph_path = data_path[:-3] + 'aew_graph.json' out_dataset_path = data_path[:-5] + '_out.nc' pipeline.save_result(description_type='json', dataset_path=out_dataset_path) # , description_path=out_json_path, graph_path=out_graph_path print("Plot.") # plot_timesteps_from_desc(od, pipeline.get_data()) plot_tracks_from_graph(od, pipeline.get_data())