Spaces:
Running
on
Zero
Running
on
Zero
Suchinthana
commited on
Commit
·
d6f2bf8
1
Parent(s):
24b7949
removing bounds, adding duplicates
Browse files
app.py
CHANGED
@@ -113,31 +113,9 @@ def generate_geojson(response):
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# Generate static map image
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@spaces.GPU
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def generate_static_map(geojson_data,
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# Create a static map object with specified dimensions
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m = StaticMap(600, 600)
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if bounds:
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#log
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logging.info(f"Bounds received: {bounds}")
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# If bounds are provided, set the center of the map
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center_lat = (bounds[0][0] + bounds[1][0]) / 2
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center_lng = (bounds[0][1] + bounds[1][1]) / 2
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#zoom = 10 # Adjust zoom level as needed
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#m.set_center(center_lat, center_lng) #zoom
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else:
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# Default center and zoom level
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center_lat, center_lng = 0, 0
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#zoom = 1
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# Check if there are no features to avoid an empty map
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if not geojson_data["features"]:
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# Add a small invisible marker to prevent rendering error
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#log marker
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logging.info(f"Adding invisible marker to {bounds[0], bounds[1]}")
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m.add_marker(CircleMarker(tuple(bounds[0]), 'blue', 10)) # White marker with size 0 #FFFFFF
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m.add_marker(CircleMarker(tuple(bounds[1]), 'blue', 10)) # White marker with size 0
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return m.render()
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# Process each feature in the GeoJSON
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for feature in geojson_data["features"]:
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@@ -145,13 +123,13 @@ def generate_static_map(geojson_data, bounds=None):
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coords = feature["geometry"]["coordinates"]
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if geom_type == "Point":
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m.add_marker(CircleMarker((coords[0], coords[1]), 'blue', 10))
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elif geom_type in ["MultiPoint", "LineString"]:
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for coord in coords:
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m.add_marker(CircleMarker((coord[0], coord[1]), 'blue', 10))
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elif geom_type in ["Polygon", "MultiPolygon"]:
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for polygon in coords:
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m.add_polygon(Polygon([(c[0], c[1]) for c in polygon], 'blue', 3))
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return m.render() #zoom=10
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@@ -188,27 +166,6 @@ def generate_satellite_image(init_image, mask_image, prompt):
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)
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return result.images[0]
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def get_bounds(geojson):
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coordinates = []
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for feature in geojson["features"]:
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geom_type = feature["geometry"]["type"]
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coords = feature["geometry"]["coordinates"]
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if geom_type == "Point":
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coordinates.append(coords)
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elif geom_type in ["MultiPoint", "LineString"]:
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coordinates.extend(coords)
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elif geom_type in ["MultiLineString", "Polygon"]:
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for part in coords:
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coordinates.extend(part)
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elif geom_type == "MultiPolygon":
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for polygon in coords:
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for part in polygon:
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coordinates.extend(part)
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lats = [coord[1] for coord in coordinates]
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lngs = [coord[0] for coord in coordinates]
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logging.info(f"Bounds: {min(lats), min(lngs)}, {max(lats), max(lngs)}")
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return [[min(lats), min(lngs)], [max(lats), max(lngs)]]
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# Gradio UI
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@spaces.GPU
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def handle_query(query):
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@@ -219,13 +176,7 @@ def handle_query(query):
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# Generate the main map image
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map_image = generate_static_map(geojson_data)
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bounds = get_bounds(geojson_data)
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empty_geojson = {
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"type": "FeatureCollection",
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"features": [] # Empty map contains no features
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}
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empty_map_image = generate_static_map(empty_geojson, bounds=bounds) # Empty map with the same bounds
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# Create the mask
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difference = np.abs(np.array(map_image.convert("RGB")) - np.array(empty_map_image.convert("RGB")))
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# Generate static map image
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@spaces.GPU
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+
def generate_static_map(geojson_data, invisible=False):
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# Create a static map object with specified dimensions
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m = StaticMap(600, 600)
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# Process each feature in the GeoJSON
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for feature in geojson_data["features"]:
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coords = feature["geometry"]["coordinates"]
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if geom_type == "Point":
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m.add_marker(CircleMarker((coords[0], coords[1]), '#1C00ff00' if invisible == True else 'blue', 10))
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elif geom_type in ["MultiPoint", "LineString"]:
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for coord in coords:
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m.add_marker(CircleMarker((coord[0], coord[1]), '#1C00ff00' if invisible == True else 'blue', 10))
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elif geom_type in ["Polygon", "MultiPolygon"]:
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for polygon in coords:
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m.add_polygon(Polygon([(c[0], c[1]) for c in polygon], '#1C00ff00' if invisible == True else 'blue', 3))
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return m.render() #zoom=10
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)
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return result.images[0]
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# Gradio UI
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@spaces.GPU
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def handle_query(query):
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# Generate the main map image
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map_image = generate_static_map(geojson_data)
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empty_map_image = generate_static_map(geojson_data, invisible=True) # Empty map with the same bounds
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# Create the mask
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difference = np.abs(np.array(map_image.convert("RGB")) - np.array(empty_map_image.convert("RGB")))
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