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def image_boundary(filename, scale=1, tolerance=0.005): | |
# open source data | |
src = rasterio.open(filename) | |
# generate datamask | |
arr = src.read( | |
1, out_shape=(int(src.shape[0] / scale), int(src.shape[1] / scale)) | |
) | |
arr[numpy.where(arr != 0)] = 1 | |
transform = src.transform * A.scale(scale) | |
for geom, val in rasterio.features.shapes(arr, transform=transform): | |
geometry = shape( | |
transform_geom(src.crs, "EPSG:4326", geom, precision=3) | |
) | |
if val == 1: | |
geometry = geometry.simplify(tolerance, preserve_topology=True) | |
return mapping(geometry) |
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