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test_warp.py
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test_warp.py
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import logging
import sys
import pytest
from affine import Affine
import numpy as np
import rasterio
from rasterio.control import GroundControlPoint
from rasterio.enums import Resampling
from rasterio.env import GDALVersion
from rasterio.errors import (
GDALBehaviorChangeException, CRSError, GDALVersionError)
from rasterio.warp import (
reproject, transform_geom, transform, transform_bounds,
calculate_default_transform, aligned_target, SUPPORTED_RESAMPLING,
GDAL2_RESAMPLING)
from rasterio import windows
from .conftest import requires_gdal22
gdal_version = GDALVersion.runtime()
logging.basicConfig(level=logging.DEBUG)
DST_TRANSFORM = Affine(300.0, 0.0, -8789636.708,
0.0, -300.0, 2943560.235)
def flatten_coords(coordinates):
"""Yield a flat sequence of coordinates to help testing"""
for elem in coordinates:
if isinstance(elem, (float, int)):
yield elem
else:
for x in flatten_coords(elem):
yield x
reproj_expected = (
({'CHECK_WITH_INVERT_PROJ': False}, 7608),
({'CHECK_WITH_INVERT_PROJ': True}, 2216))
class ReprojectParams(object):
"""Class to assist testing reprojection by encapsulating parameters."""
def __init__(self, left, bottom, right, top, width, height, src_crs,
dst_crs):
self.width = width
self.height = height
src_res = float(right - left) / float(width)
self.src_transform = Affine(src_res, 0, left, 0, -src_res, top)
self.src_crs = src_crs
self.dst_crs = dst_crs
dt, dw, dh = calculate_default_transform(
src_crs, dst_crs, width, height, left, bottom, right, top)
self.dst_transform = dt
self.dst_width = dw
self.dst_height = dh
def default_reproject_params():
return ReprojectParams(
left=-120,
bottom=30,
right=-80,
top=70,
width=80,
height=80,
src_crs={'init': 'EPSG:4326'},
dst_crs={'init': 'EPSG:2163'})
def uninvertable_reproject_params():
return ReprojectParams(
left=-120,
bottom=30,
right=-80,
top=70,
width=80,
height=80,
src_crs={'init': 'EPSG:4326'},
dst_crs={'init': 'EPSG:26836'})
WGS84_crs = {'init': 'EPSG:4326'}
def test_transform_src_crs_none():
with pytest.raises(CRSError):
transform(None, WGS84_crs, [], [])
def test_transform_dst_crs_none():
with pytest.raises(CRSError):
transform(WGS84_crs, None, [], [])
def test_transform_bounds_src_crs_none():
with pytest.raises(CRSError):
transform_bounds(None, WGS84_crs, 0, 0, 0, 0)
def test_transform_bounds_dst_crs_none():
with pytest.raises(CRSError):
transform_bounds(WGS84_crs, None, 0, 0, 0, 0)
def test_transform_geom_src_crs_none():
with pytest.raises(CRSError):
transform_geom(None, WGS84_crs, None)
def test_transform_geom_dst_crs_none():
with pytest.raises(CRSError):
transform_geom(WGS84_crs, None, None)
def test_reproject_src_crs_none():
with pytest.raises(CRSError):
reproject(np.ones((2, 2)), np.zeros((2, 2)),
src_transform=Affine.identity(),
dst_transform=Affine.identity(), dst_crs=WGS84_crs)
def test_reproject_dst_crs_none():
with pytest.raises(CRSError):
reproject(np.ones((2, 2)), np.zeros((2, 2)),
src_transform=Affine.identity(),
dst_transform=Affine.identity(), src_crs=WGS84_crs)
def test_transform():
"""2D and 3D."""
WGS84_crs = {'init': 'EPSG:4326'}
WGS84_points = ([12.492269], [41.890169], [48.])
ECEF_crs = {'init': 'EPSG:4978'}
ECEF_points = ([4642610.], [1028584.], [4236562.])
ECEF_result = transform(WGS84_crs, ECEF_crs, *WGS84_points)
assert np.allclose(np.array(ECEF_result), np.array(ECEF_points))
UTM33_crs = {'init': 'EPSG:32633'}
UTM33_points = ([291952], [4640623])
UTM33_result = transform(WGS84_crs, UTM33_crs, *WGS84_points[:2])
assert np.allclose(np.array(UTM33_result), np.array(UTM33_points))
def test_transform_bounds():
with rasterio.open('tests/data/RGB.byte.tif') as src:
l, b, r, t = src.bounds
assert np.allclose(
transform_bounds(src.crs, {'init': 'EPSG:4326'}, l, b, r, t),
(
-78.95864996545055, 23.564991210854686,
-76.57492370013823, 25.550873767433984
)
)
def test_transform_bounds_densify():
# This transform is non-linear along the edges, so densification produces
# a different result than otherwise
src_crs = {'init': 'EPSG:4326'}
dst_crs = {'init': 'EPSG:2163'}
assert np.allclose(
transform_bounds(
src_crs,
dst_crs,
-120, 40, -80, 64,
densify_pts=0),
(-1684649.41338, -350356.81377, 1684649.41338, 2234551.18559))
assert np.allclose(
transform_bounds(
src_crs,
dst_crs,
-120, 40, -80, 64,
densify_pts=100),
(-1684649.41338, -555777.79210, 1684649.41338, 2234551.18559))
def test_transform_bounds_no_change():
"""Make sure that going from and to the same crs causes no change."""
with rasterio.open('tests/data/RGB.byte.tif') as src:
l, b, r, t = src.bounds
assert np.allclose(
transform_bounds(src.crs, src.crs, l, b, r, t),
src.bounds
)
def test_transform_bounds_densify_out_of_bounds():
with pytest.raises(ValueError):
transform_bounds(
{'init': 'EPSG:4326'},
{'init': 'EPSG:32610'},
-120, 40, -80, 64,
densify_pts=-10
)
def test_calculate_default_transform():
target_transform = Affine(
0.0028535715391804096, 0.0, -78.95864996545055,
0.0, -0.0028535715391804096, 25.550873767433984)
with rasterio.open('tests/data/RGB.byte.tif') as src:
wgs84_crs = {'init': 'EPSG:4326'}
dst_transform, width, height = calculate_default_transform(
src.crs, wgs84_crs, src.width, src.height, *src.bounds)
assert dst_transform.almost_equals(target_transform)
assert width == 835
assert height == 696
def test_calculate_default_transform_single_resolution():
with rasterio.open('tests/data/RGB.byte.tif') as src:
target_resolution = 0.1
target_transform = Affine(
target_resolution, 0.0, -78.95864996545055,
0.0, -target_resolution, 25.550873767433984
)
dst_transform, width, height = calculate_default_transform(
src.crs, {'init': 'EPSG:4326'}, src.width, src.height,
*src.bounds, resolution=target_resolution
)
assert dst_transform.almost_equals(target_transform)
assert width == 24
assert height == 20
def test_calculate_default_transform_multiple_resolutions():
with rasterio.open('tests/data/RGB.byte.tif') as src:
target_resolution = (0.2, 0.1)
target_transform = Affine(
target_resolution[0], 0.0, -78.95864996545055,
0.0, -target_resolution[1], 25.550873767433984
)
dst_transform, width, height = calculate_default_transform(
src.crs, {'init': 'EPSG:4326'}, src.width, src.height,
*src.bounds, resolution=target_resolution
)
assert dst_transform.almost_equals(target_transform)
assert width == 12
assert height == 20
def test_calculate_default_transform_dimensions():
with rasterio.open('tests/data/RGB.byte.tif') as src:
dst_width, dst_height = (113, 103)
target_transform = Affine(
0.02108612597535966, 0.0, -78.95864996545055,
0.0, -0.0192823863230055, 25.550873767433984
)
dst_transform, width, height = calculate_default_transform(
src.crs, {'init': 'EPSG:4326'}, src.width, src.height,
*src.bounds, dst_width=dst_width, dst_height=dst_height
)
assert dst_transform.almost_equals(target_transform)
assert width == dst_width
assert height == dst_height
def test_reproject_ndarray():
with rasterio.open('tests/data/RGB.byte.tif') as src:
source = src.read(1)
dst_crs = dict(
proj='merc',
a=6378137,
b=6378137,
lat_ts=0.0,
lon_0=0.0,
x_0=0.0,
y_0=0,
k=1.0,
units='m',
nadgrids='@null',
wktext=True,
no_defs=True)
out = np.empty(src.shape, dtype=np.uint8)
reproject(
source,
out,
src_transform=src.transform,
src_crs=src.crs,
dst_transform=DST_TRANSFORM,
dst_crs=dst_crs,
resampling=Resampling.nearest)
assert (out > 0).sum() == 438113
def test_reproject_view():
"""Source views are reprojected properly"""
with rasterio.open('tests/data/RGB.byte.tif') as src:
source = src.read(1)
window = windows.Window(100, 100, 500, 500)
# window = windows.get_data_window(source)
reduced_array = source[window.toslices()]
reduced_transform = windows.transform(window, src.transform)
# Assert that we're working with a view.
assert reduced_array.base is source
dst_crs = dict(
proj='merc',
a=6378137,
b=6378137,
lat_ts=0.0,
lon_0=0.0,
x_0=0.0,
y_0=0,
k=1.0,
units='m',
nadgrids='@null',
wktext=True,
no_defs=True)
out = np.empty(src.shape, dtype=np.uint8)
reproject(
reduced_array,
out,
src_transform=reduced_transform,
src_crs=src.crs,
dst_transform=DST_TRANSFORM,
dst_crs=dst_crs,
resampling=Resampling.nearest)
assert (out > 0).sum() == 299199
def test_reproject_epsg():
with rasterio.open('tests/data/RGB.byte.tif') as src:
source = src.read(1)
dst_crs = {'init': 'EPSG:3857'}
out = np.empty(src.shape, dtype=np.uint8)
reproject(
source,
out,
src_transform=src.transform,
src_crs=src.crs,
dst_transform=DST_TRANSFORM,
dst_crs=dst_crs,
resampling=Resampling.nearest)
assert (out > 0).sum() == 438113
def test_reproject_out_of_bounds():
"""Using EPSG code is not appropriate for the transform.
Should return blank image.
"""
with rasterio.open('tests/data/RGB.byte.tif') as src:
source = src.read(1)
dst_crs = {'init': 'EPSG:32619'}
out = np.zeros(src.shape, dtype=np.uint8)
reproject(
source,
out,
src_transform=src.transform,
src_crs=src.crs,
dst_transform=DST_TRANSFORM,
dst_crs=dst_crs,
resampling=Resampling.nearest)
assert not out.any()
@pytest.mark.parametrize("options, expected", reproj_expected)
def test_reproject_nodata(options, expected):
nodata = 215
with rasterio.Env(**options):
params = uninvertable_reproject_params()
source = np.ones((params.width, params.height), dtype=np.uint8)
out = np.zeros((params.dst_width, params.dst_height),
dtype=source.dtype)
out.fill(120) # Fill with arbitrary value
reproject(
source,
out,
src_transform=params.src_transform,
src_crs=params.src_crs,
src_nodata=nodata,
dst_transform=params.dst_transform,
dst_crs=params.dst_crs,
dst_nodata=nodata
)
assert (out == 1).sum() == expected
assert (out == nodata).sum() == (params.dst_width *
params.dst_height - expected)
@pytest.mark.parametrize("options, expected", reproj_expected)
def test_reproject_nodata_nan(options, expected):
with rasterio.Env(**options):
params = uninvertable_reproject_params()
source = np.ones((params.width, params.height), dtype=np.float32)
out = np.zeros((params.dst_width, params.dst_height),
dtype=source.dtype)
out.fill(120) # Fill with arbitrary value
reproject(
source,
out,
src_transform=params.src_transform,
src_crs=params.src_crs,
src_nodata=np.nan,
dst_transform=params.dst_transform,
dst_crs=params.dst_crs,
dst_nodata=np.nan
)
assert (out == 1).sum() == expected
assert np.isnan(out).sum() == (params.dst_width *
params.dst_height - expected)
@pytest.mark.parametrize("options, expected", reproj_expected)
def test_reproject_dst_nodata_default(options, expected):
"""If nodata is not provided, destination will be filled with 0."""
with rasterio.Env(**options):
params = uninvertable_reproject_params()
source = np.ones((params.width, params.height), dtype=np.uint8)
out = np.zeros((params.dst_width, params.dst_height),
dtype=source.dtype)
out.fill(120) # Fill with arbitrary value
reproject(
source,
out,
src_transform=params.src_transform,
src_crs=params.src_crs,
dst_transform=params.dst_transform,
dst_crs=params.dst_crs
)
assert (out == 1).sum() == expected
assert (out == 0).sum() == (params.dst_width *
params.dst_height - expected)
def test_reproject_invalid_dst_nodata():
"""dst_nodata must be in value range of data type."""
params = default_reproject_params()
source = np.ones((params.width, params.height), dtype=np.uint8)
out = source.copy()
with pytest.raises(ValueError):
reproject(
source,
out,
src_transform=params.src_transform,
src_crs=params.src_crs,
src_nodata=0,
dst_transform=params.dst_transform,
dst_crs=params.dst_crs,
dst_nodata=999999999
)
def test_reproject_invalid_src_nodata():
"""src_nodata must be in range for data type."""
params = default_reproject_params()
source = np.ones((params.width, params.height), dtype=np.uint8)
out = source.copy()
with pytest.raises(ValueError):
reproject(
source,
out,
src_transform=params.src_transform,
src_crs=params.src_crs,
src_nodata=999999999,
dst_transform=params.dst_transform,
dst_crs=params.dst_crs,
dst_nodata=215
)
def test_reproject_init_nodata_tofile(tmpdir):
"""Test that nodata is being initialized."""
params = default_reproject_params()
tiffname = str(tmpdir.join('foo.tif'))
source1 = np.zeros((params.width, params.height), dtype=np.uint8)
source2 = source1.copy()
# fill both sources w/ arbitrary values
rows, cols = source1.shape
source1[:rows // 2, :cols // 2] = 200
source2[rows // 2:, cols // 2:] = 100
kwargs = {
'count': 1,
'width': params.width,
'height': params.height,
'dtype': np.uint8,
'driver': 'GTiff',
'crs': params.dst_crs,
'transform': params.dst_transform
}
with rasterio.open(tiffname, 'w', **kwargs) as dst:
reproject(
source1,
rasterio.band(dst, 1),
src_transform=params.src_transform,
src_crs=params.src_crs,
src_nodata=0.0,
dst_transform=params.dst_transform,
dst_crs=params.dst_crs,
dst_nodata=0.0
)
# 200s should be overwritten by 100s
reproject(
source2,
rasterio.band(dst, 1),
src_transform=params.src_transform,
src_crs=params.src_crs,
src_nodata=0.0,
dst_transform=params.dst_transform,
dst_crs=params.dst_crs,
dst_nodata=0.0
)
with rasterio.open(tiffname) as src:
assert src.read().max() == 100
def test_reproject_no_init_nodata_tofile(tmpdir):
"""Test that nodata is not being initialized."""
params = default_reproject_params()
tiffname = str(tmpdir.join('foo.tif'))
source1 = np.zeros((params.width, params.height), dtype=np.uint8)
source2 = source1.copy()
# fill both sources w/ arbitrary values
rows, cols = source1.shape
source1[:rows // 2, :cols // 2] = 200
source2[rows // 2:, cols // 2:] = 100
kwargs = {
'count': 1,
'width': params.width,
'height': params.height,
'dtype': np.uint8,
'driver': 'GTiff',
'crs': params.dst_crs,
'transform': params.dst_transform
}
with rasterio.open(tiffname, 'w', **kwargs) as dst:
reproject(
source1,
rasterio.band(dst, 1),
src_transform=params.src_transform,
src_crs=params.src_crs,
src_nodata=0.0,
dst_transform=params.dst_transform,
dst_crs=params.dst_crs,
dst_nodata=0.0
)
reproject(
source2,
rasterio.band(dst, 1),
src_transform=params.src_transform,
src_crs=params.src_crs,
src_nodata=0.0,
dst_transform=params.dst_transform,
dst_crs=params.dst_crs,
dst_nodata=0.0,
init_dest_nodata=False
)
# 200s should remain along with 100s
with rasterio.open(tiffname) as src:
data = src.read()
assert data.max() == 200
def test_reproject_no_init_nodata_toarray():
"""Test that nodata is being initialized."""
params = default_reproject_params()
source1 = np.zeros((params.width, params.height))
source2 = source1.copy()
out = source1.copy()
# fill both sources w/ arbitrary values
rows, cols = source1.shape
source1[:rows // 2, :cols // 2] = 200
source2[rows // 2:, cols // 2:] = 100
reproject(
source1,
out,
src_transform=params.src_transform,
src_crs=params.src_crs,
src_nodata=0.0,
dst_transform=params.dst_transform,
dst_crs=params.dst_crs,
dst_nodata=0.0
)
assert out.max() == 200
assert out.min() == 0
reproject(
source2,
out,
src_transform=params.src_transform,
src_crs=params.src_crs,
src_nodata=0.0,
dst_transform=params.dst_transform,
dst_crs=params.dst_crs,
dst_nodata=0.0,
init_dest_nodata=False
)
# 200s should NOT be overwritten by 100s
assert out.max() == 200
assert out.min() == 0
def test_reproject_multi():
"""Ndarry to ndarray."""
with rasterio.open('tests/data/RGB.byte.tif') as src:
source = src.read()
dst_crs = dict(
proj='merc',
a=6378137,
b=6378137,
lat_ts=0.0,
lon_0=0.0,
x_0=0.0,
y_0=0,
k=1.0,
units='m',
nadgrids='@null',
wktext=True,
no_defs=True)
destin = np.empty(source.shape, dtype=np.uint8)
reproject(
source,
destin,
src_transform=src.transform,
src_crs=src.crs,
dst_transform=DST_TRANSFORM,
dst_crs=dst_crs,
resampling=Resampling.nearest)
assert destin.any()
def test_warp_from_file():
"""File to ndarray."""
with rasterio.open('tests/data/RGB.byte.tif') as src:
dst_crs = dict(
proj='merc',
a=6378137,
b=6378137,
lat_ts=0.0,
lon_0=0.0,
x_0=0.0,
y_0=0,
k=1.0,
units='m',
nadgrids='@null',
wktext=True,
no_defs=True)
destin = np.empty(src.shape, dtype=np.uint8)
reproject(
rasterio.band(src, 1),
destin,
dst_transform=DST_TRANSFORM,
dst_crs=dst_crs)
assert destin.any()
def test_warp_from_to_file(tmpdir):
"""File to file."""
tiffname = str(tmpdir.join('foo.tif'))
with rasterio.open('tests/data/RGB.byte.tif') as src:
dst_crs = dict(
proj='merc',
a=6378137,
b=6378137,
lat_ts=0.0,
lon_0=0.0,
x_0=0.0,
y_0=0,
k=1.0,
units='m',
nadgrids='@null',
wktext=True,
no_defs=True)
kwargs = src.meta.copy()
kwargs.update(
transform=DST_TRANSFORM,
crs=dst_crs)
with rasterio.open(tiffname, 'w', **kwargs) as dst:
for i in (1, 2, 3):
reproject(rasterio.band(src, i), rasterio.band(dst, i))
def test_warp_from_to_file_multi(tmpdir):
"""File to file."""
tiffname = str(tmpdir.join('foo.tif'))
with rasterio.open('tests/data/RGB.byte.tif') as src:
dst_crs = dict(
proj='merc',
a=6378137,
b=6378137,
lat_ts=0.0,
lon_0=0.0,
x_0=0.0,
y_0=0,
k=1.0,
units='m',
nadgrids='@null',
wktext=True,
no_defs=True)
kwargs = src.meta.copy()
kwargs.update(
transform=DST_TRANSFORM,
crs=dst_crs)
with rasterio.open(tiffname, 'w', **kwargs) as dst:
for i in (1, 2, 3):
reproject(
rasterio.band(src, i),
rasterio.band(dst, i),
num_threads=2)
@pytest.fixture(scope='function')
def polygon_3373():
"""An EPSG:3373 polygon."""
return {
'type': 'Polygon',
'coordinates': (
((798842.3090855901, 6569056.500655151),
(756688.2826828464, 6412397.888771972),
(755571.0617232556, 6408461.009397383),
(677605.2284582685, 6425600.39266733),
(677605.2284582683, 6425600.392667332),
(670873.3791649605, 6427248.603432341),
(664882.1106069803, 6407585.48425362),
(663675.8662823177, 6403676.990080649),
(485120.71963574126, 6449787.167760638),
(485065.55660851026, 6449802.826920689),
(485957.03982722526, 6452708.625101285),
(487541.24541826674, 6457883.292107048),
(531008.5797472061, 6605816.560367976),
(530943.7197027118, 6605834.9333479265),
(531888.5010308184, 6608940.750411527),
(533299.5981959199, 6613962.642851984),
(533403.6388841148, 6613933.172096095),
(576345.6064638699, 6761983.708069147),
(577649.6721159086, 6766698.137844516),
(578600.3589008929, 6770143.99782289),
(578679.4732294685, 6770121.638265098),
(655836.640492081, 6749376.357102599),
(659913.0791150068, 6764770.1314677475),
(661105.8478791204, 6769515.168134831),
(661929.4670843681, 6772800.8565198565),
(661929.4670843673, 6772800.856519875),
(661975.1582566603, 6772983.354777632),
(662054.7979028501, 6772962.86384242),
(841909.6014891531, 6731793.200435557),
(840726.455490463, 6727039.8672589315),
(798842.3090855901, 6569056.500655151)),)}
def test_transform_geom_polygon_cutting(polygon_3373):
geom = polygon_3373
result = transform_geom(
'EPSG:3373', 'EPSG:4326', geom, antimeridian_cutting=True)
assert result['type'] == 'MultiPolygon'
assert len(result['coordinates']) == 2
def test_transform_geom_polygon_offset(polygon_3373):
geom = polygon_3373
result = transform_geom(
'EPSG:3373',
'EPSG:4326',
geom,
antimeridian_cutting=True,
antimeridian_offset=0)
assert result['type'] == 'MultiPolygon'
assert len(result['coordinates']) == 2
def test_transform_geom_polygon_precision(polygon_3373):
geom = polygon_3373
result = transform_geom('EPSG:3373', 'EPSG:4326', geom, precision=1, antimeridian_cutting=True)
assert all(round(x, 1) == x for x in flatten_coords(result['coordinates']))
def test_transform_geom_linestring_precision(polygon_3373):
ring = polygon_3373['coordinates'][0]
geom = {'type': 'LineString', 'coordinates': ring}
result = transform_geom('EPSG:3373', 'EPSG:4326', geom, precision=1, antimeridian_cutting=True)
assert all(round(x, 1) == x for x in flatten_coords(result['coordinates']))
def test_transform_geom_linestring_precision_iso(polygon_3373):
ring = polygon_3373['coordinates'][0]
geom = {'type': 'LineString', 'coordinates': ring}
result = transform_geom('EPSG:3373', 'EPSG:3373', geom, precision=1)
assert int(result['coordinates'][0][0] * 10) == 7988423
def test_transform_geom_linestring_precision_z(polygon_3373):
ring = polygon_3373['coordinates'][0]
x, y = zip(*ring)
ring = list(zip(x, y, [0.0 for i in range(len(x))]))
geom = {'type': 'LineString', 'coordinates': ring}
result = transform_geom('EPSG:3373', 'EPSG:3373', geom, precision=1)
assert int(result['coordinates'][0][0] * 10) == 7988423
assert int(result['coordinates'][0][2] * 10) == 0
def test_transform_geom_multipolygon(polygon_3373):
geom = {
'type': 'MultiPolygon', 'coordinates': [polygon_3373['coordinates']]}
result = transform_geom('EPSG:3373', 'EPSG:4326', geom, precision=1)
assert all(round(x, 1) == x for x in flatten_coords(result['coordinates']))
@pytest.mark.parametrize("method", SUPPORTED_RESAMPLING)
def test_reproject_resampling(path_rgb_byte_tif, method):
# Expected count of nonzero pixels for each resampling method, based
# on running rasterio with each of the following configurations
expected = {
Resampling.nearest: 438113,
Resampling.bilinear: 439280,
Resampling.cubic: 437888,
Resampling.cubic_spline: 440475,
Resampling.lanczos: 436001,
Resampling.average: 439419,
Resampling.mode: 437298,
Resampling.max: 439464,
Resampling.min: 436397,
Resampling.med: 437194,
Resampling.q1: 436397,
Resampling.q3: 438948
}
with rasterio.open(path_rgb_byte_tif) as src:
source = src.read(1)
out = np.empty(src.shape, dtype=np.uint8)
reproject(
source,
out,
src_transform=src.transform,
src_crs=src.crs,
dst_transform=DST_TRANSFORM,
dst_crs={'init': 'EPSG:3857'},
resampling=method)
assert np.count_nonzero(out) == expected[method]
@pytest.mark.parametrize("method", SUPPORTED_RESAMPLING)
def test_reproject_resampling_alpha(method):
"""Reprojection of a source with alpha band succeeds"""
# Expected count of nonzero pixels for each resampling method, based
# on running rasterio with each of the following configurations
expected = {
Resampling.nearest: 438113,
Resampling.bilinear: 439280,
Resampling.cubic: 437888,
Resampling.cubic_spline: 440475,
Resampling.lanczos: 436001,
Resampling.average: 439419,
Resampling.mode: 437298,
Resampling.max: 439464,
Resampling.min: 436397,
Resampling.med: 437194,
Resampling.q1: 436397,
Resampling.q3: 438948
}
with rasterio.open('tests/data/RGBA.byte.tif') as src:
source = src.read(1)
out = np.empty(src.shape, dtype=np.uint8)
reproject(
source,
out,
src_transform=src.transform,
src_crs=src.crs,
dst_transform=DST_TRANSFORM,
dst_crs={'init': 'EPSG:3857'},
resampling=method)
assert np.count_nonzero(out) == expected[method]
@pytest.mark.skipif(
gdal_version.at_least('2.0'),
reason="Tests only applicable to GDAL < 2.0")
@pytest.mark.parametrize("method", GDAL2_RESAMPLING)
def test_reproject_not_yet_supported_resampling(method):
"""Test resampling methods not yet supported by this version of GDAL"""
with rasterio.open('tests/data/RGB.byte.tif') as src:
source = src.read(1)
dst_crs = {'init': 'EPSG:32619'}
out = np.empty(src.shape, dtype=np.uint8)
with pytest.raises(GDALVersionError):
reproject(
source,
out,
src_transform=src.transform,
src_crs=src.crs,
dst_transform=DST_TRANSFORM,
dst_crs=dst_crs,
resampling=method)
def test_reproject_unsupported_resampling():
"""Values not in enums. Resampling are not supported."""
with rasterio.open('tests/data/RGB.byte.tif') as src:
source = src.read(1)
dst_crs = {'init': 'EPSG:32619'}
out = np.empty(src.shape, dtype=np.uint8)
with pytest.raises(ValueError):
reproject(
source,
out,
src_transform=src.transform,
src_crs=src.crs,
dst_transform=DST_TRANSFORM,
dst_crs=dst_crs,
resampling=99)
def test_reproject_unsupported_resampling_guass():
"""Resampling.gauss is unsupported."""
with rasterio.open('tests/data/RGB.byte.tif') as src:
source = src.read(1)
dst_crs = {'init': 'EPSG:32619'}
out = np.empty(src.shape, dtype=np.uint8)
with pytest.raises(ValueError):
reproject(
source,
out,
src_transform=src.transform,
src_crs=src.crs,
dst_transform=DST_TRANSFORM,
dst_crs=dst_crs,
resampling=Resampling.gauss)
@pytest.mark.parametrize("method", SUPPORTED_RESAMPLING)
def test_resample_default_invert_proj(method):
"""Nearest and bilinear should produce valid results
with the default Env
"""
with rasterio.open('tests/data/world.rgb.tif') as src:
source = src.read(1)
profile = src.profile.copy()
dst_crs = {'init': 'EPSG:32619'}
# Calculate the ideal dimensions and transformation in the new crs
dst_affine, dst_width, dst_height = calculate_default_transform(
src.crs, dst_crs, src.width, src.height, *src.bounds)