def test_png_thumbnail_has_expected_properties():
raster = GeoRaster2.open("tests/data/raster/rgb.tif")
expected_thumbnail = raster.resize(dest_width=512, resampling=Resampling.nearest)
result_thumbnail = GeoRaster2.from_bytes(
raster.to_png(transparent=True, thumbnail_size=512, resampling=Resampling.nearest, in_range='image'),
affine=expected_thumbnail.affine, crs=expected_thumbnail.crs, band_names=expected_thumbnail.band_names
)
assert result_thumbnail == expected_thumbnail
def test_png_thumbnail_has_expected_properties():
raster = GeoRaster2.open("tests/data/raster/rgb.tif")
expected_thumbnail = raster.resize(dest_width=512,
resampling=Resampling.nearest)
result_thumbnail = GeoRaster2.from_bytes(
raster._repr_png_(),
affine=expected_thumbnail.affine,
crs=expected_thumbnail.crs,
band_names=expected_thumbnail.band_names)
assert result_thumbnail == expected_thumbnail
def test_to_png_int32(recwarn):
raster = make_test_raster(257 * 42, band_names=[1, 2, 3], dtype=np.int32)
png_bytes = raster.to_png(transparent=True)
w = recwarn.pop(GeoRaster2Warning)
assert str(w.message) == "downscaling dtype to 'uint8' to convert to png"
img = Image.frombytes('RGBA', (raster.width, raster.height), png_bytes)
expected_image_size = raster.astype(np.uint8).to_pillow_image().size
assert img.size == expected_image_size
assert raster.astype(np.uint8) == GeoRaster2.from_bytes(png_bytes, affine=raster.affine,
crs=raster.crs, band_names=raster.band_names)
def test_to_png_from_bytes():
arr = np.array(
[np.full((3, 5), 1),
np.full((3, 5), 5),
np.full((3, 5), 10)],
dtype=np.uint8)
raster = GeoRaster2(image=arr,
affine=Affine.identity(),
crs=WEB_MERCATOR_CRS,
band_names=['r', 'g', 'b'])
png_bytes = raster.to_png()
assert raster == GeoRaster2.from_bytes(png_bytes,
affine=raster.affine,
crs=raster.crs,
band_names=raster.band_names)