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CPU Upgrade
import json | |
import numpy as np | |
import pyproj | |
def get_metadata(item): | |
metadata = item["metadata"] | |
if isinstance(metadata, str): | |
metadata = json.loads(metadata) | |
return metadata | |
def lat_lon_mid_pixel(item, subset: str): | |
metadata = get_metadata(item) | |
if subset == "satellogic": | |
crs = metadata["crs"][0] | |
# each image has bounds but they should coincide | |
bounds_crs = metadata["bounds"][0] | |
elif subset == "sentinel_1": | |
crs = metadata["crs"] | |
bounds_crs = metadata["coordinates"][0] | |
assert len(bounds_crs) == 5 | |
# bounds are a polygon with same first & last vertex | |
bounds_crs = ( | |
bounds_crs[0][0], | |
bounds_crs[0][1], | |
bounds_crs[2][0], | |
bounds_crs[2][1], | |
) | |
else: | |
raise ValueError("subset not known") | |
bounds = pyproj.Transformer.from_crs(crs, "EPSG:4326").transform_bounds(*bounds_crs) | |
# dumb average for now | |
return np.array([bounds[0] + bounds[2], bounds[1] + bounds[3]]) / 2 | |
def get_google_map_link(item, subset: str): | |
lat, lon = lat_lon_mid_pixel(item, subset) | |
return f"https://www.google.com/maps?ll={lat},{lon}&z=16&t=k" | |