# 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, processing_mode='2d') data_dir = join(expanduser("~") + '/phd/data/aew/cv/') # 2008cv.nc # data_dir = join(expanduser("~"), 'phd/data/aew/comp/helene/') # helene_25.nc in_file = join(data_dir, '2008cv.nc') # 2008cv.nc helene_25.nc out_traj_dir = join(data_dir, 'trajectories/') # init AEWIdentification strategy, can take different parameters i_strat = AEWIdentification(wt_traj_dir=None, cv='cv') # TODO t_strat = AEWTracking() pipeline.set_identification_strategy(i_strat) pipeline.set_tracking_strategy(t_strat) # None TODO # data_path = join(expanduser("~") + '/phd/data/aew/cv/2008cv.nc') # data_path = join(expanduser("~") + '/phd/data/aew/comp/helene/helene_25.nc') pipeline.set_data_path(in_file) # 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 = in_file[:-3] + 'aew_desc.json' out_graph_path = in_file[:-3] + 'aew_graph.json' out_dataset_path = in_file[:-5] + '05_wt.nc' pipeline.save_result(description_type='json', dataset_path=None, description_path=out_json_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, None)