|
import streamlit as st |
|
import folium |
|
from streamlit_folium import st_folium |
|
import requests |
|
from PIL import Image |
|
from io import BytesIO |
|
import os |
|
|
|
|
|
MAPILLARY_ACCESS_TOKEN = os.environ.get('MAPILLARY_ACCESS_TOKEN') |
|
|
|
|
|
if not MAPILLARY_ACCESS_TOKEN: |
|
st.error("Mapillary access token not found. Please configure it in the Space secrets.") |
|
st.stop() |
|
|
|
def get_bounding_box(lat, lon): |
|
""" |
|
Create a bounding box around a point that extends roughly 25 meters in each direction |
|
at Amsterdam's latitude (52.37°N): |
|
- 0.000224 degrees latitude = 25 meters N/S |
|
- 0.000368 degrees longitude = 25 meters E/W |
|
""" |
|
lat_offset = 0.000224 |
|
lon_offset = 0.000368 |
|
return [ |
|
lon - lon_offset, |
|
lat - lat_offset, |
|
lon + lon_offset, |
|
lat + lat_offset |
|
] |
|
|
|
def get_nearest_image(lat, lon): |
|
""" |
|
Get the nearest Mapillary image to given coordinates |
|
""" |
|
bbox = get_bounding_box(lat, lon) |
|
params = { |
|
'fields': 'id,thumb_1024_url', |
|
'limit': 1, |
|
'bbox': f'{bbox[0]},{bbox[1]},{bbox[2]},{bbox[3]}' |
|
} |
|
|
|
header = {'Authorization' : 'OAuth {}'.format(MAPILLARY_ACCESS_TOKEN)} |
|
try: |
|
response = requests.get( |
|
"https://graph.mapillary.com/images", |
|
params=params, |
|
headers=header |
|
) |
|
response.raise_for_status() |
|
data = response.json() |
|
|
|
if 'data' in data and len(data['data']) > 0: |
|
return data['data'][0] |
|
return None |
|
|
|
except requests.exceptions.RequestException as e: |
|
st.error(f"Error fetching Mapillary data: {str(e)}") |
|
return None |
|
|
|
def main(): |
|
st.title("Amsterdam Street View Explorer") |
|
|
|
|
|
amsterdam_coords = [52.3676, 4.9041] |
|
m = folium.Map(location=amsterdam_coords, zoom_start=13) |
|
|
|
|
|
folium.Marker( |
|
amsterdam_coords, |
|
popup="Amsterdam City Center", |
|
icon=folium.Icon(color="red", icon="info-sign") |
|
).add_to(m) |
|
|
|
|
|
map_data = st_folium(m, height=400, width=700) |
|
|
|
|
|
if map_data['last_clicked']: |
|
lat = map_data['last_clicked']['lat'] |
|
lng = map_data['last_clicked']['lng'] |
|
|
|
st.write(f"Selected coordinates: {lat:.4f}, {lng:.4f}") |
|
|
|
|
|
with st.spinner('Fetching street view image...'): |
|
image_data = get_nearest_image(lat, lng) |
|
|
|
if image_data: |
|
|
|
try: |
|
response = requests.get(image_data['thumb_1024_url']) |
|
image = Image.open(BytesIO(response.content)) |
|
st.image(image, caption="Street View", use_column_width=True) |
|
|
|
|
|
st.download_button( |
|
label="Download Image", |
|
data=response.content, |
|
file_name=f"streetview_{lat}_{lng}.jpg", |
|
mime="image/jpeg" |
|
) |
|
|
|
except Exception as e: |
|
st.error(f"Error displaying image: {str(e)}") |
|
else: |
|
st.warning("No street view images found at this location. Try a different spot.") |
|
|
|
if __name__ == "__main__": |
|
main() |
|
|