def test_walk(self):
walker = BoxWalker(self.ZurichBellvue(), True)
walker.load_convnet()
walker.load_tiles()
walker.load_streets()
walker.walk()
crosswalkNodes = walker.plain_result
self.assertIsNotNone(crosswalkNodes)
self.assertGreater(len(crosswalkNodes), 0)
def detect(bbox, redis):
walker = BoxWalker(bbox)
walker.load_convnet()
walker.load_tiles()
walker.load_streets()
crosswalkNodes = walker.walk()
redis_connection = Redis(redis[0], redis[1], password=redis[2])
q = Queue(Constants.QUEUE_RESULTS, connection=redis_connection)
q.enqueue_call(func=store, args=(crosswalkNodes,), timeout=Constants.TIMEOUT)
from src.detection.BoxWalker import BoxWalker
from src.base.Bbox import Bbox
from src.base.TileDrawer import TileDrawer
'''
This example visualizes the results of the boxwalker
'''
zurich_bellevue = Bbox.from_lbrt(8.814650, 47.222553, 8.825035, 47.228935) # Take the BBox you want
walker = BoxWalker(zurich_bellevue)
walker.load_convnet()
walker.load_tiles()
walker.load_streets()
walker.walk() # Walk through the streets. This could take some time...
crosswalkNodes = walker.plain_result # Takes all results found
#crosswalkNodes = walker.compared_with_osm_result # Takes only the results which are not already in OSM
# Draw and show the result
drawer = TileDrawer.from_tile(walker.tile)
for node in crosswalkNodes:
drawer.draw_point(node)
drawer.drawsection.save("boxsave.jpg")
drawer.drawsection.show()
