print '\n' + "--------Processing data for " + area_name + '----------'
# If folder already exists, continue. Otherwise create folder.
if os.path.exists(CITY_DATA_ROOT + area_name) or os.path.exists(CITY_DATA_ROOT + 'x' + area_name):
print "Data for " + area_name + ' already exists.'
else:
os.makedirs(CITY_DATA_ROOT + area_name + '/')
# Convert world coordinates of area into Google tile coordinates.
tile_x1, tile_y1, pix_x1, pix_y1 = lib.world_coordinates_to_tile_coordinates(lat1, lng1, zoom=ZOOM,
tile_size=TILE_SIZE)
tile_x2, tile_y2, pix_x2, pix_y2 = lib.world_coordinates_to_tile_coordinates(lat2, lng2, zoom=ZOOM,
tile_size=TILE_SIZE)
# Download aerial view image from Google.
try:
lib.download_aerial_views(data_dir, lat1, lng1, lat2, lng2, ZOOM, 256, key)
except lib.ServerException as exc:
# If a server exception is encountered, rename the folder of this area's data and continue.
print exc
os.rename(CITY_DATA_ROOT + area_name, CITY_DATA_ROOT + 'x' + area_name)
# Put individual tiles of aerial view image together to one big aerial view image.
img = lib.make_big_aerial_image(data_dir, lat1, lng1, lat2, lng2, zoom=ZOOM, tile_size=256, ext='.png')
img.save(data_dir + area_name + '_wholeSatImage.png')
print "Saved image " + area_name + '_wholeSatImage.png in ' + data_dir + '.'
# Delete individual tile images to save disc space.
lib.delete_tile_images(image_dir=data_dir)
print "Deleted small tile images in " + data_dir + '.'
# Open aerial view image and get its pixel size.
if os.path.exists(CITY_DATA_ROOT + area_name) or os.path.exists(CITY_DATA_ROOT + "x" + area_name):
print "Data for " + area_name + " already exists."
continue
else:
os.makedirs(CITY_DATA_ROOT + area_name + "/")
# Convert world coordinates of this area into Google tile coordinates.
tile_x1, tile_y1, pix_x1, pix_y1 = lib.world_coordinates_to_tile_coordinates(
ulc_lat, ulc_lng, zoom=ZOOM, tile_size=TILE_SIZE
)
tile_x2, tile_y2, pix_x2, pix_y2 = lib.world_coordinates_to_tile_coordinates(
lrc_lat, lrc_lng, zoom=ZOOM, tile_size=TILE_SIZE
)
# Download aerial view images from Google for this area.
try:
lib.download_aerial_views(data_dir, ulc_lat, ulc_lng, lrc_lat, lrc_lng, ZOOM, TILE_SIZE, key)
except lib.ServerException as exc:
# If a server exception is encountered, rename the folder of this area's data and continue.
print exc
os.rename(CITY_DATA_ROOT + area_name, CITY_DATA_ROOT + "x" + area_name)
continue
# Assemble individual tile images to one big aerial image.
img = lib.make_big_aerial_image(
data_dir, ulc_lat, ulc_lng, lrc_lat, lrc_lng, zoom=ZOOM, tile_size=TILE_SIZE, ext=".png"
)
# Crop big aerial image according to 'pix_x1', 'pix_y1', 'pix_x2', 'pix_y2'. This is, we want
# that our arial image corresponds exactly to the geographic coordinates, which are specified in
# 'areas'.
img_np = np.asarray(img)
# If folder already exists, continue. Otherwise create folder.
if os.path.exists(CITY_DATA_ROOT + area_name) or os.path.exists(CITY_DATA_ROOT + 'x' + area_name):
print "Data for " + area_name + ' already exists.'
continue
else:
os.makedirs(CITY_DATA_ROOT + area_name + '/')
# Convert world coordinates of area into Google tile coordinates.
tile_x1, tile_y1, pix_x1, pix_y1 = lib.world_coordinates_to_tile_coordinates(ulc_lat, ulc_lng, zoom=ZOOM,
tile_size=TILE_SIZE)
tile_x2, tile_y2, pix_x2, pix_y2 = lib.world_coordinates_to_tile_coordinates(lrc_lat, lrc_lng, zoom=ZOOM,
tile_size=TILE_SIZE)
# Download aerial view images from Google.
try:
lib.download_aerial_views(data_dir, ulc_lat, ulc_lng, lrc_lat, lrc_lng, ZOOM, 256, key)
except lib.ServerException as exc:
# If a server exception is encountered, rename the folder of this area's data and continue.
print exc
os.rename(CITY_DATA_ROOT + area_name, CITY_DATA_ROOT + 'x' + area_name)
continue
# Assemble individual tile images to one big aerial image.
img = lib.make_big_aerial_image(data_dir, ulc_lat, ulc_lng, lrc_lat, lrc_lng, zoom=ZOOM, tile_size=256, ext='.png')
# Crop big aerial image according to 'pix_x1', 'pix_y1', 'pix_x2', 'pix_y2'. This is, we want
# that our arial image corresponds exactly to the geographic coordinate, which is specified in
# 'zoom_info'.
img_np = np.asarray(img)
img_np_shape = img_np.shape
