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[osm] build OSM training data for intersections using the JSON output from intersections.py rather having to compute each time

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Al
2016-08-17 18:11:55 -04:00
parent a3ae1eb330
commit 145af9331e
2 changed files with 6 additions and 11 deletions
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5
scripts/geodata/osm/formatter.py
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@@ -1027,7 +1027,7 @@ class OSMAddressFormatter(object):
if i % 1000 == 0 and i > 0:
print('did {} formatted places'.format(i))
def build_intersections_training_data(self, infile, out_dir, way_db_dir, tag_components=True):
def build_intersections_training_data(self, infile, out_dir, tag_components=True):
'''
Intersection addresses like "4th & Main Street" are represented in OSM
by ways that share at least one node.
@@ -1053,8 +1053,7 @@ class OSMAddressFormatter(object):
replace_with_base_name_prob = float(nested_get(self.config, ('intersections', 'replace_with_base_name_probability'), default=0.0))
reader = OSMIntersectionReader(infile, way_db_dir)
for node_id, latitude, longitude, ways in reader.intersections():
for node_id, latitude, longitude, ways in OSMIntersectionReader.read_intersections(infile):
if not ways or len(ways) < 2:
continue