def get_image_from_gps(coords: str) -> Result:
"""
Get a result object containing the link to an street view image
in the vicinity of the specified lat and long coordinates
use as results.download_links(".")
change "." to another path not to download in cwd
ex:
res = get_image_from_gps("45.5307147,-73.6157818")
res.download_links("~/Downloads")
"""
params = {
"size": "512x512",
"location": coords,
"pitch": "10",
"radius": "1000",
"key": "ASK MIKE OR VICTOR",
"source": "outdoor",
"fov": "120",
}
api_list = gsv_helpers.api_list(params)
results = gsv_api.results(api_list)
return results
def get_image_from_gps_adresses(params):
"""
Get a result object containing the link to an street view image
in the vicinity of the specified lat and long coordinates
use as results.download_links(".")
change "." to another path not to download in cwd
ex:
res = get_image_from_gps("45.5307147,-73.6157818")
res.download_links("~/Downloads")
"""
api_list = gsv_helpers.api_list(params)
results = gsv_api.results(api_list)
return (results)
def fetch_street_view_image(address: str, geocoder_api_key: str,
streetview_api_key: str) -> gsv_api.results:
"""Retrieve StreetView images for the address."""
geocoder = GoogleGeocoder(geocoder_api_key)
result = geocoder.get(address)[0]
params = {
"size": "600x600",
"location": result.formatted_address,
"pitch": "0",
"key": streetview_api_key,
"source": "outdoor",
"fov": "120",
}
api_list = gsv_helpers.api_list(params)
results = gsv_api.results(api_list)
return results
assess_file.write(str(j) + ', ' + str(i) + '\n')
assess_file.close()
# Define parameters for street view api
params = [{
'size': '640x640', # max 640x640 pixels
'location': location,
'fov': fov,
'pitch': pitch,
'radius': radius,
'source': source,
'key': key
}]
# Create a results object
results = streetview.results(params)
# Download bilder to directory 'downloads'
results.download_links('icarustreetviewOUTPUT/temp')
j_file = open('icarustreetviewOUTPUT/temp/metadata.json').read()
metadata = json.loads(j_file)[0]
status = metadata['status']
print('API response for status: status == {}'.format(status))
try:
pano_id = metadata['pano_id']
if status == 'OK':
print('metadata: OK')
picturepath = 'icarustreetviewOUTPUT/temp/' + metadata['_file']
next(csv_reader) # skip the header
for row in csv_reader:
centroid_lat = str(row[1])
centroid_lon = str(row[2])
# the coord is saved as x 1e7 integer to preserve precision
# to obtain the actual coord needs to divide by 1e7
location_str += centroid_lat[:-7] + '.' + centroid_lat[
-7:] + ',' + centroid_lon[:-7] + '.' + centroid_lon[-7:] + ';'
print('...reading parameters...')
params = {
'size': '512x512', # max 640x640 pixels
'location': location_str[:-1],
#'heading': '0;30;60;90;120;150;180;210;240;270;300;330', # if don't specify heading it will face the coordinate point
'pitch': '10',
'key': gsv_api_key,
'source': 'outdoor'
}
# Create a results object
street_view_list = gsvhelpers.api_list(params)
print('...data querying from API...')
results = gsvapi.results(street_view_list)
# Download images to directory 'downloads'
# results.preview()
print('...saving images...')
results.download_links(csv_filename[17:-4])
print('...saving metadata...')
results.save_metadata('street_view_metadata.json')