def clip(indir, chip_csv, outdir,
image_pattern, chip_pattern, shape, driver):
""" Output image chips listed in a CSV file
\b
CSV file expects the following columns:
* idx (int): index of the chip
* name (str): name of chip land cover
* x (float): upper left X coordinate of chip
* y (float): upper left Y coordinate of chip
"""
# Handle 1 or 2 inputs
if not len(shape):
shape = None
else:
shape = (shape[0], shape[0]) if len(shape) == 1 else shape
indir, chip_csv, outdir = Path(indir), Path(chip_csv), Path(outdir)
outdir.mkdir(parents=True, exist_ok=True)
# Chip info
chips = pd.read_csv(chip_csv)
# Input images
images = list(indir.glob(image_pattern))
for chip in chips.itertuples():
_chip = dict(zip(chip._fields, chip))
_chip['Index'] += 1 # index on 1
for image in images:
# Format output filename
_chip['input'] = image.name
out_image = outdir.joinpath(chip_pattern.format(**_chip))
# Make sure output directory exists
out_image.parent.mkdir(parents=True, exist_ok=True)
with rasterio.open(str(image)) as src:
# Formulate chip bounds
col, row = map(int, ~src.transform * (chip.x, chip.y))
window = Window.from_offlen(col, row, shape[0], shape[1])
# Form output kwargs
out_kwargs = src.meta.copy()
out_kwargs['driver'] = driver
out_kwargs['width'] = shape[0]
out_kwargs['height'] = shape[1]
out_kwargs['transform'] = src.window_transform(window)
click.echo('Writing output for image: {}'
.format(out_image.name))
with rasterio.open(str(out_image), 'w', **out_kwargs) as dst:
dst.write(src.read(window=window))
def clip(indir, chip_csv, outdir, image_pattern, chip_pattern, shape, driver):
""" Output image chips listed in a CSV file
\b
CSV file expects the following columns:
* idx (int): index of the chip
* name (str): name of chip land cover
* x (float): upper left X coordinate of chip
* y (float): upper left Y coordinate of chip
"""
# Handle 1 or 2 inputs
if not len(shape):
shape = None
else:
shape = (shape[0], shape[0]) if len(shape) == 1 else shape
indir, chip_csv, outdir = Path(indir), Path(chip_csv), Path(outdir)
outdir.mkdir(parents=True, exist_ok=True)
# Chip info
chips = pd.read_csv(chip_csv)
# Input images
images = list(indir.glob(image_pattern))
for chip in chips.itertuples():
_chip = dict(zip(chip._fields, chip))
_chip['Index'] += 1 # index on 1
for image in images:
# Format output filename
_chip['input'] = image.name
out_image = outdir.joinpath(chip_pattern.format(**_chip))
# Make sure output directory exists
out_image.parent.mkdir(parents=True, exist_ok=True)
with rasterio.open(str(image)) as src:
# Formulate chip bounds
col, row = map(int, ~src.transform * (chip.x, chip.y))
window = Window.from_offlen(col, row, shape[0], shape[1])
# Form output kwargs
out_kwargs = src.meta.copy()
out_kwargs['driver'] = driver
out_kwargs['width'] = shape[0]
out_kwargs['height'] = shape[1]
out_kwargs['transform'] = src.window_transform(window)
click.echo('Writing output for image: {}'.format(
out_image.name))
with rasterio.open(str(out_image), 'w', **out_kwargs) as dst:
dst.write(src.read(window=window))
def test_window_from_offlen():
"""from_offlen classmethod works."""
assert Window.from_offlen(2, 0, 1, 1) == ((0, 1), (2, 3))
def test_window_from_offlen():
"""from_offlen classmethod works."""
with pytest.warns(RasterioDeprecationWarning):
assert Window.from_offlen(2, 0, 1, 1) == Window.from_slices((0, 1),
(2, 3))
def test_window_from_offlen():
"""from_offlen classmethod works."""
with pytest.warns(RasterioDeprecationWarning):
assert Window.from_offlen(2, 0, 1, 1) == Window.from_slices((0, 1), (2, 3))
def test_window_from_offlen():
"""from_offlen classmethod works."""
assert Window.from_offlen(2, 0, 1, 1) == ((0, 1), (2, 3))