From bf1cd300d53bfefee9c68c3c208c84a714e18c2b Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Thu, 20 Jul 2023 15:52:33 +0200 Subject: [PATCH 01/17] first draft --- torchgeo/datasets/__init__.py | 2 + torchgeo/datasets/rioxarray.py | 133 +++++++++++++++++++++++++++++++++ 2 files changed, 135 insertions(+) create mode 100644 torchgeo/datasets/rioxarray.py diff --git a/torchgeo/datasets/__init__.py b/torchgeo/datasets/__init__.py index ae0efe90ea6..0015b98d392 100644 --- a/torchgeo/datasets/__init__.py +++ b/torchgeo/datasets/__init__.py @@ -82,6 +82,7 @@ from .potsdam import Potsdam2D from .reforestree import ReforesTree from .resisc45 import RESISC45 +from .rioxarray import RioXarrayDataset from .seco import SeasonalContrastS2 from .sen12ms import SEN12MS from .sentinel import Sentinel, Sentinel1, Sentinel2 @@ -229,6 +230,7 @@ "NonGeoClassificationDataset", "NonGeoDataset", "RasterDataset", + "RioXarrayDataset", "UnionDataset", "VectorDataset", # Utilities diff --git a/torchgeo/datasets/rioxarray.py b/torchgeo/datasets/rioxarray.py new file mode 100644 index 00000000000..28dc26d4a97 --- /dev/null +++ b/torchgeo/datasets/rioxarray.py @@ -0,0 +1,133 @@ +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. + +"""In-memory geographical xarray.DataArray.""" + +import glob +import os +import re +import sys +from typing import Any, Callable, Optional, cast + +import numpy as np +import torch +import xarray as xr +from rasterio.crs import CRS +from rtree.index import Index, Property + +from .geo import GeoDataset +from .utils import BoundingBox + + +class RioXarrayDataset(GeoDataset): + """Wrapper for geographical datasets stored as an xarray.DataArray. + + Relies on rioxarray. + """ + + filename_glob = "*os_new.nc" + filename_regex = ".*" + + def __init__( + self, + root: str, + # xr_dataarray: xr.DataArray, + data_variables: list[str], + crs: Optional[CRS] = None, + res: Optional[float] = None, + transforms: Optional[Callable[[dict[str, Any]], dict[str, Any]]] = None, + ) -> None: + """Initialize a new Dataset instance. + + Args: + root: directory with nc files + data_variables: data variables that should be gathered from the xr_datasets + crs: :term:`coordinate reference system (CRS)` to warp to + (defaults to the CRS of dataarray) + res: resolution of the dataset in units of CRS + (defaults to the resolution of the dataarray) + transforms: a function/transform that takes an input sample + and returns a transformed version + + Raises: + FileNotFoundError: if no files are found in ``root`` + """ + super().__init__(transforms) + + self.root = root + self.data_variables = data_variables + self.transforms = transforms + + # Create an R-tree to index the dataset + self.index = Index(interleaved=False, properties=Property(dimension=3)) + + # Populate the dataset index + i = 0 + pathname = os.path.join(root, "**", self.filename_glob) + filename_regex = re.compile(self.filename_regex, re.VERBOSE) + for filepath in glob.iglob(pathname, recursive=True): + match = re.match(filename_regex, os.path.basename(filepath)) + print(filepath) + if match is not None: + with xr.open_dataset(filepath, decode_times=False) as ds: + if crs is None: + crs = ds.rio.crs + if res is None: + res = ds.rio.resolution()[0] + + (minx, miny, maxx, maxy) = ds.rio.bounds() + + if hasattr(ds, "time"): + mint = int(ds.time.min().data) + maxt = int(ds.time.max().data) + else: + mint = 0 + maxt = sys.maxsize + coords = (minx, maxx, miny, maxy, mint, maxt) + self.index.insert(i, coords, filepath) + i += 1 + + if i == 0: + msg = f"No {self.__class__.__name__} data was found in `root='{self.root}'`" + raise FileNotFoundError(msg) + + self._crs = cast(CRS, crs) + self.res = cast(float, res) + + def __getitem__(self, query: BoundingBox) -> dict[str, Any]: + """Retrieve image/mask and metadata indexed by query. + + Args: + query: (minx, maxx, miny, maxy, mint, maxt) coordinates to index + + Returns: + sample of image/mask and metadata at that index + + Raises: + IndexError: if query is not found in the index + """ + hits = self.index.intersection(tuple(query), objects=True) + items = [hit.object for hit in hits] + + if not items: + raise IndexError( + f"query: {query} not found in index with bounds: {self.bounds}" + ) + + data_arrays: list[np.ndarray] = [] + for item in items: + with xr.open_dataset(item) as ds: + ds.rio.write_crs("EPSG:4326", inplace=True) + clipped = ds.rio.clip_box( + minx=query.minx, miny=query.miny, maxx=query.maxx, maxy=query.maxy + ) + for variable in self.data_variables: + if hasattr(clipped, variable): + data_arrays.append(clipped[variable].data.squeeze()) + + sample = {"image": torch.from_numpy(np.stack(data_arrays)), "bbox": query} + + if self.transforms is not None: + sample = self.transforms(sample) + + return sample From 9cb8efed3c8a7dbfba1ded01485d54fa7601819a Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Fri, 28 Jul 2023 09:04:01 +0200 Subject: [PATCH 02/17] progress --- torchgeo/datasets/rioxarray.py | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/torchgeo/datasets/rioxarray.py b/torchgeo/datasets/rioxarray.py index 28dc26d4a97..dc687bc51fd 100644 --- a/torchgeo/datasets/rioxarray.py +++ b/torchgeo/datasets/rioxarray.py @@ -20,18 +20,17 @@ class RioXarrayDataset(GeoDataset): - """Wrapper for geographical datasets stored as an xarray.DataArray. + """Wrapper for geographical datasets stored as Xarray Datasets. Relies on rioxarray. """ - filename_glob = "*os_new.nc" + filename_glob = "*" filename_regex = ".*" def __init__( self, root: str, - # xr_dataarray: xr.DataArray, data_variables: list[str], crs: Optional[CRS] = None, res: Optional[float] = None, @@ -91,7 +90,10 @@ def __init__( msg = f"No {self.__class__.__name__} data was found in `root='{self.root}'`" raise FileNotFoundError(msg) - self._crs = cast(CRS, crs) + if not crs: + self._crs = "EPSG:4326" + else: + self._crs = cast(CRS, crs) self.res = cast(float, res) def __getitem__(self, query: BoundingBox) -> dict[str, Any]: @@ -114,10 +116,11 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: f"query: {query} not found in index with bounds: {self.bounds}" ) - data_arrays: list[np.ndarray] = [] + data_arrays: list["np.typing.NDArray[np.float32]"] = [] for item in items: with xr.open_dataset(item) as ds: - ds.rio.write_crs("EPSG:4326", inplace=True) + if not ds.rio.crs: + ds.rio.write_crs(self._crs, inplace=True) clipped = ds.rio.clip_box( minx=query.minx, miny=query.miny, maxx=query.maxx, maxy=query.maxy ) From 064cad613311d340a750d2e599a31ac3e5e0f7ef Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Fri, 28 Jul 2023 10:34:13 +0200 Subject: [PATCH 03/17] test with time-step indexing --- torchgeo/datasets/rioxarray.py | 20 ++++++++++++++++---- 1 file changed, 16 insertions(+), 4 deletions(-) diff --git a/torchgeo/datasets/rioxarray.py b/torchgeo/datasets/rioxarray.py index dc687bc51fd..e544c6662bb 100644 --- a/torchgeo/datasets/rioxarray.py +++ b/torchgeo/datasets/rioxarray.py @@ -7,6 +7,7 @@ import os import re import sys +from datetime import datetime from typing import Any, Callable, Optional, cast import numpy as np @@ -68,7 +69,7 @@ def __init__( match = re.match(filename_regex, os.path.basename(filepath)) print(filepath) if match is not None: - with xr.open_dataset(filepath, decode_times=False) as ds: + with xr.open_dataset(filepath, decode_times=True) as ds: if crs is None: crs = ds.rio.crs if res is None: @@ -77,8 +78,9 @@ def __init__( (minx, miny, maxx, maxy) = ds.rio.bounds() if hasattr(ds, "time"): - mint = int(ds.time.min().data) - maxt = int(ds.time.max().data) + indices = ds.indexes["time"].to_datetimeindex() + mint = indices.min().to_pydatetime().timestamp() + maxt = indices.max().to_pydatetime().timestamp() else: mint = 0 maxt = sys.maxsize @@ -118,12 +120,22 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: data_arrays: list["np.typing.NDArray[np.float32]"] = [] for item in items: - with xr.open_dataset(item) as ds: + with xr.open_dataset(item, decode_cf=True) as ds: if not ds.rio.crs: ds.rio.write_crs(self._crs, inplace=True) + + # clip box ignores time dimension clipped = ds.rio.clip_box( minx=query.minx, miny=query.miny, maxx=query.maxx, maxy=query.maxy ) + # select time dimension + clipped["time"] = clipped.indexes["time"].to_datetimeindex() + clipped = clipped.sel( + time=slice( + datetime.fromtimestamp(query.mint), + datetime.fromtimestamp(query.maxt), + ) + ) for variable in self.data_variables: if hasattr(clipped, variable): data_arrays.append(clipped[variable].data.squeeze()) From 28766a4508f37f8455d6be93c0c45b479f951563 Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Fri, 28 Jul 2023 14:00:54 +0200 Subject: [PATCH 04/17] add basic unit tests --- tests/data/rioxarray/data.py | 63 ++++++++++++++++++ .../rioxarray/data/tos_(40, 42)_(-55, -50).nc | Bin 0 -> 33304 bytes .../rioxarray/data/tos_(60, 62)_(-60, -55).nc | Bin 0 -> 33304 bytes .../rioxarray/data/tos_(80, 82)_(-85, 80).nc | Bin 0 -> 33304 bytes .../rioxarray/data/zos_(40, 42)_(-55, -50).nc | Bin 0 -> 33304 bytes .../rioxarray/data/zos_(60, 62)_(-60, -55).nc | Bin 0 -> 33304 bytes .../rioxarray/data/zos_(80, 82)_(-85, 80).nc | Bin 0 -> 33304 bytes tests/datasets/test_rioxarray.py | 43 ++++++++++++ torchgeo/datasets/rioxarray.py | 15 +++-- 9 files changed, 117 insertions(+), 4 deletions(-) create mode 100644 tests/data/rioxarray/data.py create mode 100644 tests/data/rioxarray/data/tos_(40, 42)_(-55, -50).nc create mode 100644 tests/data/rioxarray/data/tos_(60, 62)_(-60, -55).nc create mode 100644 tests/data/rioxarray/data/tos_(80, 82)_(-85, 80).nc create mode 100644 tests/data/rioxarray/data/zos_(40, 42)_(-55, -50).nc create mode 100644 tests/data/rioxarray/data/zos_(60, 62)_(-60, -55).nc create mode 100644 tests/data/rioxarray/data/zos_(80, 82)_(-85, 80).nc create mode 100644 tests/datasets/test_rioxarray.py diff --git a/tests/data/rioxarray/data.py b/tests/data/rioxarray/data.py new file mode 100644 index 00000000000..d851d418661 --- /dev/null +++ b/tests/data/rioxarray/data.py @@ -0,0 +1,63 @@ +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. + +import os +import shutil + +import cftime +import numpy as np +import pandas as pd +import xarray as xr + +SIZE = 32 + +LATS: list[tuple[float]] = [(40, 42), (60, 62), (80, 82)] + +LONS: list[tuple[float]] = [(-55, -50), (-60, -55), (-85, 80)] + +VAR_NAMES = ["zos", "tos"] + +DIR = "data" + +CF_TIME = [True, False, True] + + +def create_rioxr_dataset( + lat_min: float, + lat_max: float, + lon_min: float, + lon_max: float, + cf_time: bool, + var_name: str, + filename: str, +): + # Generate x and y coordinates + lats = np.linspace(lat_min, lat_max, SIZE) + lons = np.linspace(lon_min, lon_max, SIZE) + + if cf_time: + times = [cftime.datetime(2000, 1, i + 1) for i in range(3)] + else: + times = pd.date_range(start="2000-01-01", periods=3, freq="D") + + # data with shape (time, x, y) + data = np.random.rand(len(times), len(lats), len(lons)) + + # Create the xarray dataset + ds = xr.Dataset( + data_vars={var_name: (("time", "x", "y"), data)}, + coords={"x": lats, "y": lons, "time": times}, + ) + ds.to_netcdf(path=filename) + + +if __name__ == "__main__": + if os.path.isdir(DIR): + shutil.rmtree(DIR) + os.makedirs(DIR) + for var_name in VAR_NAMES: + for lats, lons, cf_time in zip(LATS, LONS, CF_TIME): + path = os.path.join(DIR, f"{var_name}_{lats}_{lons}.nc") + create_rioxr_dataset( + lats[0], lats[1], lons[0], lons[1], cf_time, var_name, path + ) diff --git a/tests/data/rioxarray/data/tos_(40, 42)_(-55, -50).nc b/tests/data/rioxarray/data/tos_(40, 42)_(-55, -50).nc new file mode 100644 index 0000000000000000000000000000000000000000..4978fd38245e8bc25283007e447e6cd19880c19a GIT binary patch literal 33304 zcmeFYc|6taw?DiMX`rGcNl1o@L{W;oDMV=yl?I}aN+nZhAgLrpQVF3#lFF2!GSBlo zPus8u+uo?8LBn&Y`##@uey?+$*Y7;fd4A77_vdB1_Wq35wLWXDYpwTtUDpkC^=Hly zo54M88s+cp*I%2c_n$q=e;xQ??3lB|KzA3nKq|NN?|nQ||2p*dCI4$XgPX!Nc?zG% z!6JkF<`-tzwWE+{zJF8}NKE`N4X_=G3FaPj_i5{1icHTR!Ge;=9h*O^@I 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z>XrYUms;ie@di~Y|GSQ>mFw;ENU3uD_@nZb|6SLm$|rx@D^Rww@$co$A%>LV6DSImE)?aI3`S1BI?IlF6f9??B!1{Kg1iSU~KSiir z->>xlz83=F-QV`imnHnYtX0EH|NGt)2%>*aBS(p#y?#Mg|7+h3s)Y5AYpM|}|2AK` X`hV9?_rL4M#`yogGyMO5-S__hvH*jF literal 0 HcmV?d00001 diff --git a/tests/datasets/test_rioxarray.py b/tests/datasets/test_rioxarray.py new file mode 100644 index 00000000000..0ae4b796a82 --- /dev/null +++ b/tests/datasets/test_rioxarray.py @@ -0,0 +1,43 @@ +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. + +import os + +import pytest +import torch + +from torchgeo.datasets import ( + BoundingBox, + IntersectionDataset, + RioXarrayDataset, + UnionDataset, +) + +pytest.importorskip("rioxarray") + + +class TestRioXarrayDataset: + @pytest.fixture(scope="class") + def dataset(self) -> RioXarrayDataset: + root = os.path.join("tests", "data", "rioxarray", "data") + return RioXarrayDataset(root=root, data_variables=["zos", "tos"]) + + def test_getitem(self, dataset: RioXarrayDataset) -> None: + x = dataset[dataset.bounds] + assert isinstance(x, dict) + assert isinstance(x["image"], torch.Tensor) + + def test_and(self, dataset: RioXarrayDataset) -> None: + ds = dataset & dataset + assert isinstance(ds, IntersectionDataset) + + def test_or(self, dataset: RioXarrayDataset) -> None: + ds = dataset | dataset + assert isinstance(ds, UnionDataset) + + def test_invalid_query(self, dataset: RioXarrayDataset) -> None: + query = BoundingBox(0, 0, 0, 0, 0, 0) + with pytest.raises( + IndexError, match="query: .* not found in index with bounds:" + ): + dataset[query] diff --git a/torchgeo/datasets/rioxarray.py b/torchgeo/datasets/rioxarray.py index e544c6662bb..8835d670af9 100644 --- a/torchgeo/datasets/rioxarray.py +++ b/torchgeo/datasets/rioxarray.py @@ -10,6 +10,7 @@ from datetime import datetime from typing import Any, Callable, Optional, cast +import netCDF4 # noqa: F401 import numpy as np import torch import xarray as xr @@ -63,11 +64,10 @@ def __init__( # Populate the dataset index i = 0 - pathname = os.path.join(root, "**", self.filename_glob) + pathname = os.path.join(root, self.filename_glob) filename_regex = re.compile(self.filename_regex, re.VERBOSE) for filepath in glob.iglob(pathname, recursive=True): match = re.match(filename_regex, os.path.basename(filepath)) - print(filepath) if match is not None: with xr.open_dataset(filepath, decode_times=True) as ds: if crs is None: @@ -78,7 +78,11 @@ def __init__( (minx, miny, maxx, maxy) = ds.rio.bounds() if hasattr(ds, "time"): - indices = ds.indexes["time"].to_datetimeindex() + try: + indices = ds.indexes["time"].to_datetimeindex() + except AttributeError: + indices = ds.indexes["time"] + mint = indices.min().to_pydatetime().timestamp() maxt = indices.max().to_pydatetime().timestamp() else: @@ -129,7 +133,10 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: minx=query.minx, miny=query.miny, maxx=query.maxx, maxy=query.maxy ) # select time dimension - clipped["time"] = clipped.indexes["time"].to_datetimeindex() + try: + clipped["time"] = clipped.indexes["time"].to_datetimeindex() + except AttributeError: + clipped["time"] = clipped.indexes["time"] clipped = clipped.sel( time=slice( datetime.fromtimestamp(query.mint), From 5ffd1608c911548aadce4f56ea82dd3c7e9afad3 Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Fri, 28 Jul 2023 14:05:26 +0200 Subject: [PATCH 05/17] time step optional --- tests/data/rioxarray/data.py | 6 ++++-- torchgeo/datasets/rioxarray.py | 19 ++++++++++--------- 2 files changed, 14 insertions(+), 11 deletions(-) diff --git a/tests/data/rioxarray/data.py b/tests/data/rioxarray/data.py index d851d418661..314a0e896fb 100644 --- a/tests/data/rioxarray/data.py +++ b/tests/data/rioxarray/data.py @@ -21,6 +21,8 @@ CF_TIME = [True, False, True] +NUM_TIME_STEPS = 3 + def create_rioxr_dataset( lat_min: float, @@ -36,9 +38,9 @@ def create_rioxr_dataset( lons = np.linspace(lon_min, lon_max, SIZE) if cf_time: - times = [cftime.datetime(2000, 1, i + 1) for i in range(3)] + times = [cftime.datetime(2000, 1, i + 1) for i in range(NUM_TIME_STEPS)] else: - times = pd.date_range(start="2000-01-01", periods=3, freq="D") + times = pd.date_range(start="2000-01-01", periods=NUM_TIME_STEPS, freq="D") # data with shape (time, x, y) data = np.random.rand(len(times), len(lats), len(lons)) diff --git a/torchgeo/datasets/rioxarray.py b/torchgeo/datasets/rioxarray.py index 8835d670af9..1cf1eb65a67 100644 --- a/torchgeo/datasets/rioxarray.py +++ b/torchgeo/datasets/rioxarray.py @@ -133,16 +133,17 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: minx=query.minx, miny=query.miny, maxx=query.maxx, maxy=query.maxy ) # select time dimension - try: - clipped["time"] = clipped.indexes["time"].to_datetimeindex() - except AttributeError: - clipped["time"] = clipped.indexes["time"] - clipped = clipped.sel( - time=slice( - datetime.fromtimestamp(query.mint), - datetime.fromtimestamp(query.maxt), + if hasattr(ds, "time"): + try: + clipped["time"] = clipped.indexes["time"].to_datetimeindex() + except AttributeError: + clipped["time"] = clipped.indexes["time"] + clipped = clipped.sel( + time=slice( + datetime.fromtimestamp(query.mint), + datetime.fromtimestamp(query.maxt), + ) ) - ) for variable in self.data_variables: if hasattr(clipped, variable): data_arrays.append(clipped[variable].data.squeeze()) From 1459b1251b458b4982cae4d86d5f444e58efab03 Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Fri, 28 Jul 2023 14:32:55 +0200 Subject: [PATCH 06/17] xarray as dependency --- requirements/datasets.txt | 1 + requirements/min-reqs.old | 1 + 2 files changed, 2 insertions(+) diff --git a/requirements/datasets.txt b/requirements/datasets.txt index e5f5a17a50f..6a8755e8a25 100644 --- a/requirements/datasets.txt +++ b/requirements/datasets.txt @@ -9,4 +9,5 @@ radiant-mlhub==0.4.1 rarfile==4.0 scikit-image==0.21.0 scipy==1.11.1 +xarray==2023.7.0 zipfile-deflate64==0.2.0 diff --git a/requirements/min-reqs.old b/requirements/min-reqs.old index 18f0890b2de..00006351b53 100644 --- a/requirements/min-reqs.old +++ b/requirements/min-reqs.old @@ -31,6 +31,7 @@ radiant-mlhub==0.3.0 rarfile==4.0 scikit-image==0.18.0 scipy==1.6.2 +xarray==2023.7.0 zipfile-deflate64==0.2.0 # docs From 8f93e072a3ea16ba9dbd64386dea6cd21d287ea8 Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Fri, 28 Jul 2023 14:37:14 +0200 Subject: [PATCH 07/17] try to get tests with deps to work --- requirements/datasets.txt | 2 +- requirements/min-reqs.old | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/requirements/datasets.txt b/requirements/datasets.txt index 6a8755e8a25..11e7a96b909 100644 --- a/requirements/datasets.txt +++ b/requirements/datasets.txt @@ -9,5 +9,5 @@ radiant-mlhub==0.4.1 rarfile==4.0 scikit-image==0.21.0 scipy==1.11.1 -xarray==2023.7.0 +xarray zipfile-deflate64==0.2.0 diff --git a/requirements/min-reqs.old b/requirements/min-reqs.old index 00006351b53..133850c868c 100644 --- a/requirements/min-reqs.old +++ b/requirements/min-reqs.old @@ -31,7 +31,7 @@ radiant-mlhub==0.3.0 rarfile==4.0 scikit-image==0.18.0 scipy==1.6.2 -xarray==2023.7.0 +xarray zipfile-deflate64==0.2.0 # docs From dc4cc8cb91566dd4ae6d728371f5583a4ae6879e Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Thu, 17 Aug 2023 10:49:02 +0200 Subject: [PATCH 08/17] some requested changes --- requirements/datasets.txt | 3 ++- tests/data/{rioxarray => rioxr}/data.py | 0 .../data/tos_(40, 42)_(-55, -50).nc | Bin .../data/tos_(60, 62)_(-60, -55).nc | Bin .../data/tos_(80, 82)_(-85, 80).nc | Bin .../data/zos_(40, 42)_(-55, -50).nc | Bin .../data/zos_(60, 62)_(-60, -55).nc | Bin .../data/zos_(80, 82)_(-85, 80).nc | Bin tests/datasets/{test_rioxarray.py => test_rioxr.py} | 2 +- torchgeo/datasets/__init__.py | 2 +- torchgeo/datasets/{rioxarray.py => rioxr.py} | 12 +++++++++--- 11 files changed, 13 insertions(+), 6 deletions(-) rename tests/data/{rioxarray => rioxr}/data.py (100%) rename tests/data/{rioxarray => rioxr}/data/tos_(40, 42)_(-55, -50).nc (100%) rename tests/data/{rioxarray => rioxr}/data/tos_(60, 62)_(-60, -55).nc (100%) rename tests/data/{rioxarray => rioxr}/data/tos_(80, 82)_(-85, 80).nc (100%) rename tests/data/{rioxarray => rioxr}/data/zos_(40, 42)_(-55, -50).nc (100%) rename tests/data/{rioxarray => rioxr}/data/zos_(60, 62)_(-60, -55).nc (100%) rename tests/data/{rioxarray => rioxr}/data/zos_(80, 82)_(-85, 80).nc (100%) rename tests/datasets/{test_rioxarray.py => test_rioxr.py} (94%) rename torchgeo/datasets/{rioxarray.py => rioxr.py} (93%) diff --git a/requirements/datasets.txt b/requirements/datasets.txt index 11e7a96b909..69e35cecb10 100644 --- a/requirements/datasets.txt +++ b/requirements/datasets.txt @@ -9,5 +9,6 @@ radiant-mlhub==0.4.1 rarfile==4.0 scikit-image==0.21.0 scipy==1.11.1 -xarray +xarray==2023.7.0 +rioxarray==0.14.1 zipfile-deflate64==0.2.0 diff --git a/tests/data/rioxarray/data.py b/tests/data/rioxr/data.py similarity index 100% rename from tests/data/rioxarray/data.py rename to tests/data/rioxr/data.py diff --git a/tests/data/rioxarray/data/tos_(40, 42)_(-55, -50).nc b/tests/data/rioxr/data/tos_(40, 42)_(-55, -50).nc similarity index 100% rename from tests/data/rioxarray/data/tos_(40, 42)_(-55, -50).nc rename to tests/data/rioxr/data/tos_(40, 42)_(-55, -50).nc diff --git a/tests/data/rioxarray/data/tos_(60, 62)_(-60, -55).nc b/tests/data/rioxr/data/tos_(60, 62)_(-60, -55).nc similarity index 100% rename from tests/data/rioxarray/data/tos_(60, 62)_(-60, -55).nc rename to tests/data/rioxr/data/tos_(60, 62)_(-60, -55).nc diff --git a/tests/data/rioxarray/data/tos_(80, 82)_(-85, 80).nc b/tests/data/rioxr/data/tos_(80, 82)_(-85, 80).nc similarity index 100% rename from tests/data/rioxarray/data/tos_(80, 82)_(-85, 80).nc rename to tests/data/rioxr/data/tos_(80, 82)_(-85, 80).nc diff --git a/tests/data/rioxarray/data/zos_(40, 42)_(-55, -50).nc b/tests/data/rioxr/data/zos_(40, 42)_(-55, -50).nc similarity index 100% rename from tests/data/rioxarray/data/zos_(40, 42)_(-55, -50).nc rename to tests/data/rioxr/data/zos_(40, 42)_(-55, -50).nc diff --git a/tests/data/rioxarray/data/zos_(60, 62)_(-60, -55).nc b/tests/data/rioxr/data/zos_(60, 62)_(-60, -55).nc similarity index 100% rename from tests/data/rioxarray/data/zos_(60, 62)_(-60, -55).nc rename to tests/data/rioxr/data/zos_(60, 62)_(-60, -55).nc diff --git a/tests/data/rioxarray/data/zos_(80, 82)_(-85, 80).nc b/tests/data/rioxr/data/zos_(80, 82)_(-85, 80).nc similarity index 100% rename from tests/data/rioxarray/data/zos_(80, 82)_(-85, 80).nc rename to tests/data/rioxr/data/zos_(80, 82)_(-85, 80).nc diff --git a/tests/datasets/test_rioxarray.py b/tests/datasets/test_rioxr.py similarity index 94% rename from tests/datasets/test_rioxarray.py rename to tests/datasets/test_rioxr.py index 0ae4b796a82..5b547ea8306 100644 --- a/tests/datasets/test_rioxarray.py +++ b/tests/datasets/test_rioxr.py @@ -19,7 +19,7 @@ class TestRioXarrayDataset: @pytest.fixture(scope="class") def dataset(self) -> RioXarrayDataset: - root = os.path.join("tests", "data", "rioxarray", "data") + root = os.path.join("tests", "data", "rioxr", "data") return RioXarrayDataset(root=root, data_variables=["zos", "tos"]) def test_getitem(self, dataset: RioXarrayDataset) -> None: diff --git a/torchgeo/datasets/__init__.py b/torchgeo/datasets/__init__.py index 0015b98d392..39b9eac0f7d 100644 --- a/torchgeo/datasets/__init__.py +++ b/torchgeo/datasets/__init__.py @@ -82,7 +82,7 @@ from .potsdam import Potsdam2D from .reforestree import ReforesTree from .resisc45 import RESISC45 -from .rioxarray import RioXarrayDataset +from .rioxr import RioXarrayDataset from .seco import SeasonalContrastS2 from .sen12ms import SEN12MS from .sentinel import Sentinel, Sentinel1, Sentinel2 diff --git a/torchgeo/datasets/rioxarray.py b/torchgeo/datasets/rioxr.py similarity index 93% rename from torchgeo/datasets/rioxarray.py rename to torchgeo/datasets/rioxr.py index 1cf1eb65a67..7d9024fcec9 100644 --- a/torchgeo/datasets/rioxarray.py +++ b/torchgeo/datasets/rioxr.py @@ -1,7 +1,7 @@ # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. -"""In-memory geographical xarray.DataArray.""" +"""In-memory geographical xarray.DataArray and xarray.Dataset.""" import glob import os @@ -41,8 +41,9 @@ def __init__( """Initialize a new Dataset instance. Args: - root: directory with nc files - data_variables: data variables that should be gathered from the xr_datasets + root: directory with files to be opened with xarray + data_variables: data variables that should be gathered from the collection + of xarray datasets crs: :term:`coordinate reference system (CRS)` to warp to (defaults to the CRS of dataarray) res: resolution of the dataset in units of CRS @@ -125,8 +126,13 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: data_arrays: list["np.typing.NDArray[np.float32]"] = [] for item in items: with xr.open_dataset(item, decode_cf=True) as ds: + import pdb + + pdb.set_trace() if not ds.rio.crs: ds.rio.write_crs(self._crs, inplace=True) + elif ds.rio.crs != self._crs: + ds = ds.rio.reproject(self._crs) # clip box ignores time dimension clipped = ds.rio.clip_box( From c58972fc5606784d2afc29e3cda121130ed8c4d8 Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Tue, 29 Aug 2023 15:39:02 +0200 Subject: [PATCH 09/17] rioxarray merge arrays --- torchgeo/datasets/rioxr.py | 50 ++++++++++++++++++++++++++++++++------ 1 file changed, 42 insertions(+), 8 deletions(-) diff --git a/torchgeo/datasets/rioxr.py b/torchgeo/datasets/rioxr.py index 7d9024fcec9..9a4f2c4402d 100644 --- a/torchgeo/datasets/rioxr.py +++ b/torchgeo/datasets/rioxr.py @@ -10,11 +10,11 @@ from datetime import datetime from typing import Any, Callable, Optional, cast -import netCDF4 # noqa: F401 import numpy as np import torch import xarray as xr from rasterio.crs import CRS +from rioxarray.merge import merge_arrays from rtree.index import Index, Property from .geo import GeoDataset @@ -30,6 +30,22 @@ class RioXarrayDataset(GeoDataset): filename_glob = "*" filename_regex = ".*" + is_image = True + + @property + def dtype(self) -> torch.dtype: + """The dtype of the dataset (overrides the dtype of the data file via a cast). + + Returns: + the dtype of the dataset + + .. versionadded:: 5.0 + """ + if self.is_image: + return torch.float32 + else: + return torch.long + def __init__( self, root: str, @@ -71,8 +87,13 @@ def __init__( match = re.match(filename_regex, os.path.basename(filepath)) if match is not None: with xr.open_dataset(filepath, decode_times=True) as ds: + # rioxarray expects spatial dimensions to be named x and y + if ds.rio._x_dim is None or ds.rio.y_dim is None: + ds = ds.rename({"lon": "x", "lat": "y"}) + if crs is None: crs = ds.rio.crs + if res is None: res = ds.rio.resolution()[0] @@ -123,12 +144,13 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: f"query: {query} not found in index with bounds: {self.bounds}" ) - data_arrays: list["np.typing.NDArray[np.float32]"] = [] + data_arrays: list["np.typing.NDArray"] = [] for item in items: with xr.open_dataset(item, decode_cf=True) as ds: - import pdb - - pdb.set_trace() + # rioxarray expects spatial dimensions to be named x and y + if ds.rio._x_dim is None or ds.rio.y_dim is None: + # ds.rio.set_spatial_dims(x_dim="lon", y_dim="lat", inplace=True) + ds = ds.rename({"lon": "x", "lat": "y"}) if not ds.rio.crs: ds.rio.write_crs(self._crs, inplace=True) elif ds.rio.crs != self._crs: @@ -150,11 +172,23 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: datetime.fromtimestamp(query.maxt), ) ) + for variable in self.data_variables: if hasattr(clipped, variable): - data_arrays.append(clipped[variable].data.squeeze()) - - sample = {"image": torch.from_numpy(np.stack(data_arrays)), "bbox": query} + data_arrays.append(clipped[variable].squeeze()) + + merged_data = torch.from_numpy( + merge_arrays( + data_arrays, bounds=(query.minx, query.miny, query.maxx, query.maxy) + ).data + ) + sample = {"crs": self.crs, "bbox": query} + + merged_data = merged_data.to(self.dtype) + if self.is_image: + sample["image"] = merged_data + else: + sample["mask"] = merged_data if self.transforms is not None: sample = self.transforms(sample) From 0b7e0b5223b873cef16ead623c48cb3ca97d2caf Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Fri, 1 Sep 2023 14:32:57 +0200 Subject: [PATCH 10/17] make data_variables optional and infer spatial coordinates automatically --- torchgeo/datasets/rioxr.py | 51 ++++++++++++++++++++++++++++++++------ 1 file changed, 44 insertions(+), 7 deletions(-) diff --git a/torchgeo/datasets/rioxr.py b/torchgeo/datasets/rioxr.py index 9a4f2c4402d..0c7bcf4b794 100644 --- a/torchgeo/datasets/rioxr.py +++ b/torchgeo/datasets/rioxr.py @@ -49,7 +49,7 @@ def dtype(self) -> torch.dtype: def __init__( self, root: str, - data_variables: list[str], + data_variables: Optional[list[str]] = None, crs: Optional[CRS] = None, res: Optional[float] = None, transforms: Optional[Callable[[dict[str, Any]], dict[str, Any]]] = None, @@ -73,7 +73,12 @@ def __init__( super().__init__(transforms) self.root = root - self.data_variables = data_variables + + if data_variables: + self.data_variables = data_variables + else: + data_variables_to_collect: list[str] = [] + self.transforms = transforms # Create an R-tree to index the dataset @@ -88,8 +93,8 @@ def __init__( if match is not None: with xr.open_dataset(filepath, decode_times=True) as ds: # rioxarray expects spatial dimensions to be named x and y - if ds.rio._x_dim is None or ds.rio.y_dim is None: - ds = ds.rename({"lon": "x", "lat": "y"}) + x_name, y_name = self._infer_spatial_coordinate_names(ds) + ds = ds.rename({x_name: "x", y_name: "y"}) if crs is None: crs = ds.rio.crs @@ -114,16 +119,48 @@ def __init__( self.index.insert(i, coords, filepath) i += 1 + # collect all possible data variables if self.data_variables is None + if not data_variables: + data_variables_to_collect.extend(list(ds.data_vars)) + if i == 0: msg = f"No {self.__class__.__name__} data was found in `root='{self.root}'`" raise FileNotFoundError(msg) + if not data_variables: + self.data_variables = list(set(data_variables_to_collect)) + if not crs: self._crs = "EPSG:4326" else: self._crs = cast(CRS, crs) self.res = cast(float, res) + def _infer_spatial_coordinate_names(self, ds): + """Infer the names of the spatial coordinates. + + Args: + ds: Dataset or DataArray of which to infer the spatial coordinates + + Returns: + x and y coordinate names + """ + for dim_name, dim in ds.coords.items(): + if hasattr(dim, "units"): + if any( + [x in dim.units.lower() for x in ["degrees_north", "degree_north"]] + ): + y_name = dim_name + elif any( + [x in dim.units.lower() for x in ["degrees_east", "degree_east"]] + ): + x_name = dim_name + + if not x_name or not y_name: + raise ValueError("Spatial Coordinate Units not found in Dataset") + + return x_name, y_name + def __getitem__(self, query: BoundingBox) -> dict[str, Any]: """Retrieve image/mask and metadata indexed by query. @@ -148,9 +185,9 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: for item in items: with xr.open_dataset(item, decode_cf=True) as ds: # rioxarray expects spatial dimensions to be named x and y - if ds.rio._x_dim is None or ds.rio.y_dim is None: - # ds.rio.set_spatial_dims(x_dim="lon", y_dim="lat", inplace=True) - ds = ds.rename({"lon": "x", "lat": "y"}) + x_name, y_name = self._infer_spatial_coordinate_names(ds) + ds = ds.rename({x_name: "x", y_name: "y"}) + if not ds.rio.crs: ds.rio.write_crs(self._crs, inplace=True) elif ds.rio.crs != self._crs: From 27999f326013d7a6798db43d4cc61acc6571e394 Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Thu, 7 Sep 2023 20:52:44 +0200 Subject: [PATCH 11/17] working tests locally --- pyproject.toml | 2 ++ tests/data/rioxr/data.py | 6 +++++- .../rioxr/data/tos_(40, 42)_(-55, -50).nc | Bin 33304 -> 33304 bytes tests/data/rioxr/data/tos_(60, 62)_(-5, 5).nc | Bin 0 -> 33304 bytes .../rioxr/data/tos_(60, 62)_(-60, -55).nc | Bin 33304 -> 0 bytes .../data/rioxr/data/tos_(80, 82)_(-85, 80).nc | Bin 33304 -> 0 bytes .../data/rioxr/data/tos_(80, 82)_(80, 85).nc | Bin 0 -> 33304 bytes .../rioxr/data/zos_(40, 42)_(-55, -50).nc | Bin 33304 -> 33304 bytes tests/data/rioxr/data/zos_(60, 62)_(-5, 5).nc | Bin 0 -> 33304 bytes .../rioxr/data/zos_(60, 62)_(-60, -55).nc | Bin 33304 -> 0 bytes .../data/rioxr/data/zos_(80, 82)_(-85, 80).nc | Bin 33304 -> 0 bytes .../data/rioxr/data/zos_(80, 82)_(80, 85).nc | Bin 0 -> 33304 bytes torchgeo/datasets/rioxr.py | 18 ++++++++++++------ 13 files changed, 19 insertions(+), 7 deletions(-) create mode 100644 tests/data/rioxr/data/tos_(60, 62)_(-5, 5).nc delete mode 100644 tests/data/rioxr/data/tos_(60, 62)_(-60, -55).nc delete mode 100644 tests/data/rioxr/data/tos_(80, 82)_(-85, 80).nc create mode 100644 tests/data/rioxr/data/tos_(80, 82)_(80, 85).nc create mode 100644 tests/data/rioxr/data/zos_(60, 62)_(-5, 5).nc delete mode 100644 tests/data/rioxr/data/zos_(60, 62)_(-60, -55).nc delete mode 100644 tests/data/rioxr/data/zos_(80, 82)_(-85, 80).nc create mode 100644 tests/data/rioxr/data/zos_(80, 82)_(80, 85).nc diff --git a/pyproject.toml b/pyproject.toml index 70392822122..0d3e23a20ae 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -243,6 +243,8 @@ filterwarnings = [ "ignore:ANTIALIAS is deprecated and will be removed in Pillow 10:DeprecationWarning:tensorboardX.summary", # https://github.com/Lightning-AI/lightning/issues/16756 "ignore:Deprecated call to `pkg_resources.declare_namespace:DeprecationWarning", + # https://github.com/pydata/xarray/issues/7259 + "ignore: numpy.ndarray size changed, may indicate binary incompatibility. Expected 16 from C header, got 96 from PyObject", # Expected warnings # Lightning warns us about using num_workers=0, but it's faster on macOS diff --git a/tests/data/rioxr/data.py b/tests/data/rioxr/data.py index 314a0e896fb..7436b64e67d 100644 --- a/tests/data/rioxr/data.py +++ b/tests/data/rioxr/data.py @@ -13,7 +13,7 @@ LATS: list[tuple[float]] = [(40, 42), (60, 62), (80, 82)] -LONS: list[tuple[float]] = [(-55, -50), (-60, -55), (-85, 80)] +LONS: list[tuple[float]] = [(-55, -50), (-5, 5), (80, 85)] VAR_NAMES = ["zos", "tos"] @@ -50,6 +50,10 @@ def create_rioxr_dataset( data_vars={var_name: (("time", "x", "y"), data)}, coords={"x": lats, "y": lons, "time": times}, ) + ds["x"].attrs["units"] = "degrees_east" + ds["x"].attrs["crs"] = "EPSG:4326" + ds["y"].attrs["units"] = "degrees_north" + ds["y"].attrs["crs"] = "EPSG:4326" ds.to_netcdf(path=filename) diff --git a/tests/data/rioxr/data/tos_(40, 42)_(-55, -50).nc b/tests/data/rioxr/data/tos_(40, 42)_(-55, -50).nc index 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Relies on rioxarray. + + .. versionadded:: 5.0 """ filename_glob = "*" @@ -38,8 +40,6 @@ def dtype(self) -> torch.dtype: Returns: the dtype of the dataset - - .. versionadded:: 5.0 """ if self.is_image: return torch.float32 @@ -94,7 +94,8 @@ def __init__( with xr.open_dataset(filepath, decode_times=True) as ds: # rioxarray expects spatial dimensions to be named x and y x_name, y_name = self._infer_spatial_coordinate_names(ds) - ds = ds.rename({x_name: "x", y_name: "y"}) + if x_name != "x" and y_name != "y": + ds = ds.rename({x_name: "x", y_name: "y"}) if crs is None: crs = ds.rio.crs @@ -136,7 +137,7 @@ def __init__( self._crs = cast(CRS, crs) self.res = cast(float, res) - def _infer_spatial_coordinate_names(self, ds): + def _infer_spatial_coordinate_names(self, ds) -> tuple[str]: """Infer the names of the spatial coordinates. Args: @@ -145,6 +146,8 @@ def _infer_spatial_coordinate_names(self, ds): Returns: x and y coordinate names """ + x_name = None + y_name = None for dim_name, dim in ds.coords.items(): if hasattr(dim, "units"): if any( @@ -157,7 +160,7 @@ def _infer_spatial_coordinate_names(self, ds): x_name = dim_name if not x_name or not y_name: - raise ValueError("Spatial Coordinate Units not found in Dataset") + raise ValueError("Spatial Coordinate Units not found in Dataset.") return x_name, y_name @@ -186,7 +189,8 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: with xr.open_dataset(item, decode_cf=True) as ds: # rioxarray expects spatial dimensions to be named x and y x_name, y_name = self._infer_spatial_coordinate_names(ds) - ds = ds.rename({x_name: "x", y_name: "y"}) + if x_name != "x" and y_name != "y": + ds = ds.rename({x_name: "x", y_name: "y"}) if not ds.rio.crs: ds.rio.write_crs(self._crs, inplace=True) @@ -212,6 +216,8 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: for variable in self.data_variables: if hasattr(clipped, variable): + # rasterio merge expects this order + clipped = clipped.transpose("time", "y", "x") data_arrays.append(clipped[variable].squeeze()) merged_data = torch.from_numpy( From ff494777b013fb000a9ee645c4a023f497b0e40f Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Fri, 8 Sep 2023 10:39:47 +0200 Subject: [PATCH 12/17] tests remote --- requirements/datasets.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements/datasets.txt b/requirements/datasets.txt index 01b9c115747..f819e94ae9d 100644 --- a/requirements/datasets.txt +++ b/requirements/datasets.txt @@ -10,5 +10,6 @@ rarfile==4.0 scikit-image==0.21.0 xarray==2023.7.0 rioxarray==0.14.1 +xarray scipy==1.11.2 zipfile-deflate64==0.2.0 From a06ab61eea195d1cb4b29bd3235f5e6db28a2278 Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Mon, 11 Sep 2023 10:32:01 +0200 Subject: [PATCH 13/17] bounds and transform inconsisten error for synthetic data --- tests/data/rioxr/data.py | 4 ++-- .../rioxr/data/tos_(40, 42)_(-55, -50).nc | Bin 33304 -> 33304 bytes tests/data/rioxr/data/tos_(60, 62)_(-5, 5).nc | Bin 33304 -> 33304 bytes .../data/rioxr/data/tos_(80, 82)_(80, 85).nc | Bin 33304 -> 33304 bytes .../rioxr/data/zos_(40, 42)_(-55, -50).nc | Bin 33304 -> 33304 bytes tests/data/rioxr/data/zos_(60, 62)_(-5, 5).nc | Bin 33304 -> 33304 bytes .../data/rioxr/data/zos_(80, 82)_(80, 85).nc | Bin 33304 -> 33304 bytes 7 files changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/data/rioxr/data.py b/tests/data/rioxr/data.py index 7436b64e67d..44cf63446db 100644 --- a/tests/data/rioxr/data.py +++ b/tests/data/rioxr/data.py @@ -43,12 +43,12 @@ def create_rioxr_dataset( times = pd.date_range(start="2000-01-01", periods=NUM_TIME_STEPS, freq="D") # data with shape (time, x, y) - data = np.random.rand(len(times), len(lats), len(lons)) + data = np.random.rand(len(times), len(lons), len(lats)) # Create the xarray dataset ds = xr.Dataset( data_vars={var_name: (("time", "x", "y"), data)}, - coords={"x": lats, "y": lons, "time": times}, + coords={"x": lons, "y": lats, "time": times}, ) ds["x"].attrs["units"] = "degrees_east" ds["x"].attrs["crs"] = "EPSG:4326" diff --git a/tests/data/rioxr/data/tos_(40, 42)_(-55, -50).nc b/tests/data/rioxr/data/tos_(40, 42)_(-55, -50).nc index 1a930a5b5f7294111645441ed5892110332aa434..33a9ccc92ac25eb157cab888c3d9a06d888d168c 100644 GIT binary patch delta 24790 zcmWh!c{o&W8&)YTLMVy+Bt@l2DIqs4A}S5)rcR`!e>O zG0bAd3<{Ns@BRLC;aumu=RD7IZ%?TA>`?F7k@A#j_7ypLe>>y`cOAA1Z@`Atu68lk z2Qhf%^SZ$^1L#?!I`9r0SgF0e9AcISO~v;`>8`D?ez7IxcJK%cMpDl)7PO-0aHO8} z0R{}dm%I)RYKHPhZbR{0 zWS|Q8iua-kmN@H4y4y)Rn{AJW8;lw zXh~wgcGfysAFF5xzIvuKuYiYwtn9(h1ATDI`jO)x(u9RN)@71~jgas44rz9-!Gqt& z4PQxdLDTq`H*k-Vj!}U*shfxLF}!iz-5GZ-_EU3Kh}gHnbI4==Kg;J(OFf%fc0323 zzs)QTcz*#ya;Dz8iG@2eA5(nSwID&>PTBAS7Z!^$?i^Ag|F>d&xUt1GxUEuMr?iv{ z5orVGTp1ST?r^*=JT`>Tg!ufQ!d&b#e`3Cd@{a??(`}{acXJT|>%jSvG{}ExXdBvG 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Sep 2023 13:52:47 +0200 Subject: [PATCH 14/17] latest attempt --- torchgeo/datasets/rioxr.py | 58 +++++++++++++++++++++++--------------- 1 file changed, 36 insertions(+), 22 deletions(-) diff --git a/torchgeo/datasets/rioxr.py b/torchgeo/datasets/rioxr.py index fb34e88aca0..b419f8f2a15 100644 --- a/torchgeo/datasets/rioxr.py +++ b/torchgeo/datasets/rioxr.py @@ -34,6 +34,11 @@ class RioXarrayDataset(GeoDataset): is_image = True + spatial_x_name = "x" + spatial_y_name = "y" + + transform = None + @property def dtype(self) -> torch.dtype: """The dtype of the dataset (overrides the dtype of the data file via a cast). @@ -51,7 +56,6 @@ def __init__( root: str, data_variables: Optional[list[str]] = None, crs: Optional[CRS] = None, - res: Optional[float] = None, transforms: Optional[Callable[[dict[str, Any]], dict[str, Any]]] = None, ) -> None: """Initialize a new Dataset instance. @@ -62,8 +66,6 @@ def __init__( of xarray datasets crs: :term:`coordinate reference system (CRS)` to warp to (defaults to the CRS of dataarray) - res: resolution of the dataset in units of CRS - (defaults to the resolution of the dataarray) transforms: a function/transform that takes an input sample and returns a transformed version @@ -93,17 +95,18 @@ def __init__( if match is not None: with xr.open_dataset(filepath, decode_times=True) as ds: # rioxarray expects spatial dimensions to be named x and y - x_name, y_name = self._infer_spatial_coordinate_names(ds) - if x_name != "x" and y_name != "y": - ds = ds.rename({x_name: "x", y_name: "y"}) + ds.rio.set_spatial_dims( + self.spatial_x_name, self.spatial_y_name, inplace=True + ) if crs is None: crs = ds.rio.crs - if res is None: - res = ds.rio.resolution()[0] - - (minx, miny, maxx, maxy) = ds.rio.bounds() + try: + (minx, miny, maxx, maxy) = ds.rio.bounds() + except AttributeError: + # or take the shape of the data variable? + continue if hasattr(ds, "time"): try: @@ -125,6 +128,9 @@ def __init__( data_variables_to_collect.extend(list(ds.data_vars)) if i == 0: + import pdb + + pdb.set_trace() msg = f"No {self.__class__.__name__} data was found in `root='{self.root}'`" raise FileNotFoundError(msg) @@ -135,7 +141,7 @@ def __init__( self._crs = "EPSG:4326" else: self._crs = cast(CRS, crs) - self.res = cast(float, res) + self.res = 1.0 def _infer_spatial_coordinate_names(self, ds) -> tuple[str]: """Infer the names of the spatial coordinates. @@ -148,16 +154,19 @@ def _infer_spatial_coordinate_names(self, ds) -> tuple[str]: """ x_name = None y_name = None - for dim_name, dim in ds.coords.items(): - if hasattr(dim, "units"): + for coord_name, coord in ds.coords.items(): + if hasattr(coord, "units"): if any( - [x in dim.units.lower() for x in ["degrees_north", "degree_north"]] + [ + x in coord.units.lower() + for x in ["degrees_north", "degree_north"] + ] ): - y_name = dim_name + y_name = coord_name elif any( - [x in dim.units.lower() for x in ["degrees_east", "degree_east"]] + [x in coord.units.lower() for x in ["degrees_east", "degree_east"]] ): - x_name = dim_name + x_name = coord_name if not x_name or not y_name: raise ValueError("Spatial Coordinate Units not found in Dataset.") @@ -188,9 +197,9 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: for item in items: with xr.open_dataset(item, decode_cf=True) as ds: # rioxarray expects spatial dimensions to be named x and y - x_name, y_name = self._infer_spatial_coordinate_names(ds) - if x_name != "x" and y_name != "y": - ds = ds.rename({x_name: "x", y_name: "y"}) + ds.rio.set_spatial_dims( + self.spatial_x_name, self.spatial_y_name, inplace=True + ) if not ds.rio.crs: ds.rio.write_crs(self._crs, inplace=True) @@ -216,8 +225,13 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: for variable in self.data_variables: if hasattr(clipped, variable): - # rasterio merge expects this order - clipped = clipped.transpose("time", "y", "x") + # rioxarray expects this order + clipped = clipped.transpose( + "time", self.spatial_y_name, self.spatial_x_name, ... + ) + + # set proper transform # TODO not working + # clipped = clipped.rio.write_transform(self.transform) data_arrays.append(clipped[variable].squeeze()) merged_data = torch.from_numpy( From 67954d7fc1bb602f281e805c63e3d4b1fa933dc3 Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Fri, 22 Sep 2023 14:16:23 +0200 Subject: [PATCH 15/17] netcdf4 req --- requirements/datasets.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements/datasets.txt b/requirements/datasets.txt index 3924d7a3ab6..fcfdfe55719 100644 --- a/requirements/datasets.txt +++ b/requirements/datasets.txt @@ -11,5 +11,6 @@ scikit-image==0.21.0 xarray==2023.7.0 rioxarray==0.14.1 xarray +netCDF4 scipy==1.11.2 zipfile-deflate64==0.2.0 From 48cdbc8d908c4a7bbe345e45b0499407e2a335eb Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Fri, 15 Dec 2023 15:35:52 +0100 Subject: [PATCH 16/17] store changes --- torchgeo/datasets/rioxr.py | 70 +++++++++++++++++++++++++------------- 1 file changed, 46 insertions(+), 24 deletions(-) diff --git a/torchgeo/datasets/rioxr.py b/torchgeo/datasets/rioxr.py index b419f8f2a15..a9d6cdb871b 100644 --- a/torchgeo/datasets/rioxr.py +++ b/torchgeo/datasets/rioxr.py @@ -50,6 +50,32 @@ def dtype(self) -> torch.dtype: return torch.float32 else: return torch.long + + def harmonize_format(self, ds): + """Convert the dataset to the standard format. + + Args: + ds: dataset or array to harmonize + + Returns: + the harmonized dataset or array + """ + # rioxarray expects spatial dimensions to be named x and y + ds.rio.set_spatial_dims( + self.spatial_x_name, self.spatial_y_name, inplace=True + ) + + # if x coords go from 0 to 360, convert to -180 to 180 + if ds[self.spatial_x_name].min() > 180: + ds = ds.assign_coords({self.spatial_x_name: ds[self.spatial_x_name] % 360 - 180}) + + # if y coords go from 0 to 180, convert to -90 to 90 + if ds[self.spatial_x_name].min() > 90: + ds = ds.assign_coords({self.spatial_y_name: ds[self.spatial_y_name] % 180 - 90}) + # expect asceding coordinate values + ds = ds.sortby(self.spatial_x_name, ascending=True) + ds = ds.sortby(self.spatial_y_name, ascending=True) + return ds def __init__( self, @@ -94,10 +120,7 @@ def __init__( match = re.match(filename_regex, os.path.basename(filepath)) if match is not None: with xr.open_dataset(filepath, decode_times=True) as ds: - # rioxarray expects spatial dimensions to be named x and y - ds.rio.set_spatial_dims( - self.spatial_x_name, self.spatial_y_name, inplace=True - ) + ds = self.harmonize_format(ds) if crs is None: crs = ds.rio.crs @@ -196,27 +219,15 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: data_arrays: list["np.typing.NDArray"] = [] for item in items: with xr.open_dataset(item, decode_cf=True) as ds: - # rioxarray expects spatial dimensions to be named x and y - ds.rio.set_spatial_dims( - self.spatial_x_name, self.spatial_y_name, inplace=True - ) - - if not ds.rio.crs: - ds.rio.write_crs(self._crs, inplace=True) - elif ds.rio.crs != self._crs: - ds = ds.rio.reproject(self._crs) - - # clip box ignores time dimension - clipped = ds.rio.clip_box( - minx=query.minx, miny=query.miny, maxx=query.maxx, maxy=query.maxy - ) + + ds = self.harmonize_format(ds) # select time dimension if hasattr(ds, "time"): try: - clipped["time"] = clipped.indexes["time"].to_datetimeindex() + ds["time"] = ds.indexes["time"].to_datetimeindex() except AttributeError: - clipped["time"] = clipped.indexes["time"] - clipped = clipped.sel( + ds["time"] = ds.indexes["time"] + ds = ds.sel( time=slice( datetime.fromtimestamp(query.mint), datetime.fromtimestamp(query.maxt), @@ -224,16 +235,27 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: ) for variable in self.data_variables: - if hasattr(clipped, variable): + if hasattr(ds, variable): + da = ds[variable] + if not da.rio.crs: + da.rio.write_crs(self._crs, inplace=True) + elif da.rio.crs != self._crs: + da = da.rio.reproject(self._crs) + # clip box ignores time dimension + clipped = da.rio.clip_box( + minx=query.minx, miny=query.miny, maxx=query.maxx, maxy=query.maxy + ) # rioxarray expects this order clipped = clipped.transpose( "time", self.spatial_y_name, self.spatial_x_name, ... ) # set proper transform # TODO not working - # clipped = clipped.rio.write_transform(self.transform) - data_arrays.append(clipped[variable].squeeze()) + clipped.rio.write_transform(self.transform) + data_arrays.append(clipped.squeeze()) + import pdb + pdb.set_trace() merged_data = torch.from_numpy( merge_arrays( data_arrays, bounds=(query.minx, query.miny, query.maxx, query.maxy) From f025a84f4477c2ddddea49db5ba7fd56072a2270 Mon Sep 17 00:00:00 2001 From: Nils Lehmann Date: Fri, 15 Dec 2023 15:36:14 +0100 Subject: [PATCH 17/17] store changes --- torchgeo/datasets/rioxr.py | 23 ++++++++++++++--------- 1 file changed, 14 insertions(+), 9 deletions(-) diff --git a/torchgeo/datasets/rioxr.py b/torchgeo/datasets/rioxr.py index a9d6cdb871b..d28c1481efb 100644 --- a/torchgeo/datasets/rioxr.py +++ b/torchgeo/datasets/rioxr.py @@ -50,10 +50,10 @@ def dtype(self) -> torch.dtype: return torch.float32 else: return torch.long - + def harmonize_format(self, ds): """Convert the dataset to the standard format. - + Args: ds: dataset or array to harmonize @@ -61,17 +61,19 @@ def harmonize_format(self, ds): the harmonized dataset or array """ # rioxarray expects spatial dimensions to be named x and y - ds.rio.set_spatial_dims( - self.spatial_x_name, self.spatial_y_name, inplace=True - ) + ds.rio.set_spatial_dims(self.spatial_x_name, self.spatial_y_name, inplace=True) # if x coords go from 0 to 360, convert to -180 to 180 if ds[self.spatial_x_name].min() > 180: - ds = ds.assign_coords({self.spatial_x_name: ds[self.spatial_x_name] % 360 - 180}) + ds = ds.assign_coords( + {self.spatial_x_name: ds[self.spatial_x_name] % 360 - 180} + ) # if y coords go from 0 to 180, convert to -90 to 90 if ds[self.spatial_x_name].min() > 90: - ds = ds.assign_coords({self.spatial_y_name: ds[self.spatial_y_name] % 180 - 90}) + ds = ds.assign_coords( + {self.spatial_y_name: ds[self.spatial_y_name] % 180 - 90} + ) # expect asceding coordinate values ds = ds.sortby(self.spatial_x_name, ascending=True) ds = ds.sortby(self.spatial_y_name, ascending=True) @@ -219,7 +221,6 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: data_arrays: list["np.typing.NDArray"] = [] for item in items: with xr.open_dataset(item, decode_cf=True) as ds: - ds = self.harmonize_format(ds) # select time dimension if hasattr(ds, "time"): @@ -243,7 +244,10 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: da = da.rio.reproject(self._crs) # clip box ignores time dimension clipped = da.rio.clip_box( - minx=query.minx, miny=query.miny, maxx=query.maxx, maxy=query.maxy + minx=query.minx, + miny=query.miny, + maxx=query.maxx, + maxy=query.maxy, ) # rioxarray expects this order clipped = clipped.transpose( @@ -255,6 +259,7 @@ def __getitem__(self, query: BoundingBox) -> dict[str, Any]: data_arrays.append(clipped.squeeze()) import pdb + pdb.set_trace() merged_data = torch.from_numpy( merge_arrays(