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main.py

+import osmnx as ox
+import networkx as nx
+import geopandas as gpd
+import crseg.utils as u
+import crseg.segmentation as cs
+import json
+import crgraph as cg
+import SegmentationReader as sr
+
+
+
+overpass = 0
+latitude = 45.77417
+longitude = 3.09028
+G1 = u.Util.get_osm_data(latitude, longitude,1000, overpass)
+
+# prepare network by removing unwanted ways
+G1 = cs.Segmentation.prepare_network(G1)
+# build an undirected version of the graph
+undirected_G = ox.utils_graph.get_undirected(G1)
+#working on non-oriented graph
+G1 = undirected_G
+
+#adding new attributes to the graph
+cg.prepare_graph_OSM(G1)
+
+# segment it using topology and semantic
+seg = cs.Segmentation(undirected_G, C0 = 2, C1 = 2, C2 = 4, max_cycle_elements = 10)
+
+seg.process()
+#exporting to json
+seg.to_json_all("crossroads.json")
+
+
+
+#List of all the intersection and branch
+seg_reader = sr.SegmentationReader("crossroads.json")
+
+#Create our new model
+G = cg.create_graph_model(G1,seg_reader)
+#Add edges
+cg.add_edges(G1,G,seg_reader)
+
+#visualization of the OSMnx graph
+ox.plot_graph(G1,bgcolor='w',node_color='k', node_size=5,node_alpha=0.7, node_edgecolor='b', node_zorder=5, edge_color='r', edge_linewidth=2,edge_alpha=0.8,show=True)
+
+#visualization of the new model
+
+ox.plot_graph(G,bgcolor='w',node_color='k', node_size=5,node_alpha=0.8, node_edgecolor='b', node_zorder=5, edge_color='r', edge_linewidth=2,edge_alpha=0.8,show=True)
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