def test_no_epsg(self):
crs = rasterio.crs.CRS()
img_path = join(self.tmp_dir, 'tmp.tif')
height = 100
width = 100
nb_channels = 3
with rasterio.open(img_path,
'w',
driver='GTiff',
height=height,
width=width,
count=nb_channels,
dtype=np.uint8,
crs=crs) as img_dataset:
im = np.zeros((height, width, nb_channels)).astype(np.uint8)
for channel in range(nb_channels):
img_dataset.write(im[:, :, channel], channel + 1)
try:
config = RasterioSourceConfig(uris=[img_path])
config.build(tmp_dir=self.tmp_dir)
except Exception:
self.fail(
'Creating RasterioSource with CRS with no EPSG attribute '
'raised an exception when it should not have.')
def test_channel_order_error(self):
img_path = join(self.tmp_dir, 'img.tif')
chip = np.ones((2, 2, 3)).astype(np.uint8)
chip[:, :, :] *= np.array([0, 1, 2]).astype(np.uint8)
save_img(chip, img_path)
channel_order = [3, 1, 0]
with self.assertRaises(ChannelOrderError):
config = RasterioSourceConfig(uris=[img_path],
channel_order=channel_order)
config.build(tmp_dir=self.tmp_dir)
def test_uses_channel_order(self):
img_path = join(self.tmp_dir, 'img.tif')
chip = np.ones((2, 2, 4)).astype(np.uint8)
chip[:, :, :] *= np.array([0, 1, 2, 3]).astype(np.uint8)
save_img(chip, img_path)
channel_order = [0, 1, 2]
config = RasterioSourceConfig(uris=[img_path],
channel_order=channel_order)
source = config.build(tmp_dir=self.tmp_dir)
with source.activate():
out_chip = source.get_image_array()
expected_out_chip = np.ones((2, 2, 3)).astype(np.uint8)
expected_out_chip[:, :, :] *= np.array([0, 1, 2]).astype(np.uint8)
np.testing.assert_equal(out_chip, expected_out_chip)
def test_non_geo(self):
# Check if non-georeferenced image files can be read and CRSTransformer
# implements the identity function.
img_path = join(self.tmp_dir, 'img.png')
chip = np.ones((2, 2, 3)).astype(np.uint8)
save_img(chip, img_path)
config = RasterioSourceConfig(uris=[img_path])
source = config.build(tmp_dir=self.tmp_dir)
with source.activate():
out_chip = source.get_image_array()
np.testing.assert_equal(out_chip, chip)
p = (3, 4)
out_p = source.get_crs_transformer().map_to_pixel(p)
np.testing.assert_equal(out_p, p)
out_p = source.get_crs_transformer().pixel_to_map(p)
np.testing.assert_equal(out_p, p)
def test_detects_alpha(self):
# Set first channel to alpha. Expectation is that when omitting channel_order,
# only the second and third channels will be in output.
img_path = join(self.tmp_dir, 'img.tif')
chip = np.ones((2, 2, 3)).astype(np.uint8)
chip[:, :, :] *= np.array([0, 1, 2]).astype(np.uint8)
save_img(chip, img_path)
ci = (ColorInterp.alpha, ColorInterp.blue, ColorInterp.green)
with rasterio.open(img_path, 'r+') as src:
src.colorinterp = ci
config = RasterioSourceConfig(uris=[img_path])
source = config.build(tmp_dir=self.tmp_dir)
with source.activate():
out_chip = source.get_image_array()
expected_out_chip = np.ones((2, 2, 2)).astype(np.uint8)
expected_out_chip[:, :, :] *= np.array([1, 2]).astype(np.uint8)
np.testing.assert_equal(out_chip, expected_out_chip)
def test_gets_raw_chip_from_uint16_transformed_proto(self):
img_path = data_file_path('small-uint16-tile.tif')
channel_order = [0, 1]
config = RasterioSourceConfig(uris=[img_path])
raw_rs = config.build(tmp_dir=self.tmp_dir)
stats_uri = join(self.tmp_dir, 'tmp.tif')
stats = RasterStats()
stats.compute([raw_rs])
stats.save(stats_uri)
transformer = StatsTransformerConfig(stats_uri=stats_uri)
config = RasterioSourceConfig(uris=[img_path],
channel_order=channel_order,
transformers=[transformer])
rs = config.build(tmp_dir=self.tmp_dir)
with rs.activate():
out_chip = rs.get_raw_image_array()
self.assertEqual(out_chip.shape[2], 3)