diff --git a/.github/workflows/docs.yaml b/.github/workflows/docs.yaml index 2c1f86d20..09173733b 100644 --- a/.github/workflows/docs.yaml +++ b/.github/workflows/docs.yaml @@ -43,7 +43,6 @@ jobs: python-version: 3.9 - name: Install dependencies run: | - sudo apt-get install libgeos-dev libproj-dev # needed for cartopy pip install cython numpy # needed for pycocotools pip install --pre -r requirements.txt - name: Run sphinx checks diff --git a/.github/workflows/tests.yaml b/.github/workflows/tests.yaml index 0e1df2e93..bc90fe642 100644 --- a/.github/workflows/tests.yaml +++ b/.github/workflows/tests.yaml @@ -29,7 +29,6 @@ jobs: python-version: 3.9 - name: Install dependencies run: | - sudo apt-get install libgeos-dev libproj-dev # needed for cartopy pip install cython numpy # needed for pycocotools pip install --pre -r requirements.txt - name: Run mypy checks @@ -37,8 +36,6 @@ jobs: pytest: name: pytest runs-on: ${{ matrix.os }} - env: - PKG_CONFIG_PATH: /usr/local/opt/proj@7/lib/pkgconfig strategy: matrix: os: [ubuntu-latest, macos-latest, windows-latest] @@ -67,10 +64,10 @@ jobs: key: ${{ runner.os }}-python-${{ matrix.python-version }}-${{ hashFiles('requirements.txt') }} restore-keys: ${{ runner.os }}-python-${{ matrix.python-version }}- - name: Install apt dependencies - run: sudo apt-get install libgeos-dev libproj-dev unrar + run: sudo apt-get install unrar if: ${{ runner.os == 'Linux' }} - name: Install brew dependencies - run: brew install geos proj@7 rar + run: brew install rar if: ${{ runner.os == 'macOS' }} - name: Install conda uses: conda-incubator/setup-miniconda@v2 @@ -78,7 +75,7 @@ jobs: python-version: ${{ matrix.python-version }} if: ${{ runner.os == 'Windows' }} - name: Install conda dependencies - run: conda install -c conda-forge cartopy h5py 'rasterio>=1.0' + run: conda install -c conda-forge h5py 'rasterio>=1.0' if: ${{ runner.os == 'Windows' }} - name: Install pip dependencies run: | diff --git a/docs/conf.py b/docs/conf.py index a3ab4d4f9..0e56934f3 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -51,7 +51,6 @@ nitpick_ignore = [ # https://github.com/sphinx-doc/sphinx/issues/8127 ("py:class", ".."), # TODO: can't figure out why this isn't found - ("py:class", "cartopy._crs.CRS"), ("py:class", "LightningDataModule"), ] @@ -88,7 +87,6 @@ autodoc_typehints = "description" # sphinx.ext.intersphinx intersphinx_mapping = { - "cartopy": ("https://scitools.org.uk/cartopy/docs/latest/", None), "python": ("https://docs.python.org/3", None), "pytorch-lightning": ("https://pytorch-lightning.readthedocs.io/en/latest/", None), "rasterio": ("https://rasterio.readthedocs.io/en/latest/", None), diff --git a/docs/notebooks/GeoDataset.ipynb b/docs/notebooks/GeoDataset.ipynb index 55035ec24..fb739bbac 100644 --- a/docs/notebooks/GeoDataset.ipynb +++ b/docs/notebooks/GeoDataset.ipynb @@ -66,7 +66,6 @@ { "cell_type": "code", "source": [ - "import cartopy.crs as ccrs\r\n", "from rasterio.crs import CRS\r\n", "from torch.utils.data import DataLoader\r\n", "\r\n", @@ -112,8 +111,6 @@ "ROOT = \"/mnt/blobfuse/adam-scratch\"\r\n", "\r\n", "crs = CRS.from_epsg(32616)\r\n", - "projection = ccrs.UTM(16)\r\n", - "transform = ccrs.UTM(16)\r\n", "\r\n", "landsat = Landsat8(root=ROOT, crs=crs, bands=[\"B4\", \"B3\", \"B2\"])\r\n", "cdl = CDL(root=ROOT, crs=crs)" @@ -293,10 +290,9 @@ "for sample in dataloader:\r\n", " image = sample[\"image\"][0]\r\n", " label = sample[\"masks\"][0]\r\n", - " bbox = sample[\"bbox\"][0]\r\n", "\r\n", - " landsat.plot(image, bbox, projection, transform)\r\n", - " cdl.plot(label, bbox, projection, transform)" + " landsat.plot(image)\r\n", + " cdl.plot(label)" ], "outputs": [ { @@ -552,4 +548,4 @@ }, "nbformat": 4, "nbformat_minor": 2 -} \ No newline at end of file +} diff --git a/environment.yml b/environment.yml index 318928c7a..195952779 100644 --- a/environment.yml +++ b/environment.yml @@ -1,6 +1,5 @@ name: torchgeo dependencies: - - cartopy - cudatoolkit=11.1 - h5py - matplotlib diff --git a/requirements.txt b/requirements.txt index af39d99a7..aa646de22 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,5 @@ affine black[colorama]>=21b -cartopy flake8 h5py isort[colors]>=4.3.5 diff --git a/setup.cfg b/setup.cfg index 7d0207767..29baeda93 100644 --- a/setup.cfg +++ b/setup.cfg @@ -27,7 +27,6 @@ setup_requires = setuptools>=42 install_requires = affine - cartopy matplotlib numpy pillow diff --git a/spack.yaml b/spack.yaml index 6c8908389..42e5b8de6 100644 --- a/spack.yaml +++ b/spack.yaml @@ -5,7 +5,6 @@ spack: - "python@3.6:+bz2" - py-affine - "py-black@21:+colorama" - - py-cartopy - py-flake8 - py-h5py - "py-isort@4.3.5:+colors" diff --git a/tests/datasets/test_cdl.py b/tests/datasets/test_cdl.py index bfbde710a..f21f3349a 100644 --- a/tests/datasets/test_cdl.py +++ b/tests/datasets/test_cdl.py @@ -61,7 +61,7 @@ class TestCDL: def test_plot(self, dataset: CDL) -> None: query = dataset.bounds x = dataset[query] - dataset.plot(x["masks"], query) + dataset.plot(x["masks"]) def test_not_downloaded(self, tmp_path: Path) -> None: with pytest.raises(RuntimeError, match="Dataset not found or corrupted."): diff --git a/tests/datasets/test_landsat.py b/tests/datasets/test_landsat.py index 282c5a06c..83fdbbe0d 100644 --- a/tests/datasets/test_landsat.py +++ b/tests/datasets/test_landsat.py @@ -37,7 +37,7 @@ class TestLandsat8: def test_plot(self, dataset: Landsat8) -> None: query = dataset.bounds x = dataset[query] - dataset.plot(x["image"], query) + dataset.plot(x["image"]) def test_no_data(self, tmp_path: Path) -> None: with pytest.raises(FileNotFoundError, match="No Landsat data was found in "): diff --git a/torchgeo/datasets/cdl.py b/torchgeo/datasets/cdl.py index 5b218895a..322365098 100644 --- a/torchgeo/datasets/cdl.py +++ b/torchgeo/datasets/cdl.py @@ -5,13 +5,11 @@ import os from datetime import datetime from typing import Any, Callable, Dict, Optional -import cartopy.crs as ccrs import matplotlib.pyplot as plt import numpy as np import rasterio import torch -from cartopy.crs import CRS as CCRS -from rasterio.crs import CRS as RCRS +from rasterio.crs import CRS from rasterio.vrt import WarpedVRT from rtree.index import Index, Property from torch import Tensor @@ -19,8 +17,7 @@ from torch import Tensor from .geo import GeoDataset from .utils import BoundingBox, check_integrity, download_and_extract_archive -_ccrs = ccrs.AlbersEqualArea(-96, 23, 0, 0, (29.5, 45.5)) -_rcrs = RCRS.from_wkt( +_crs = CRS.from_wkt( """ PROJCS["Albers Conical Equal Area", GEOGCS["NAD83", @@ -86,7 +83,7 @@ class CDL(GeoDataset): def __init__( self, root: str = "data", - crs: RCRS = _rcrs, + crs: CRS = _crs, transforms: Optional[Callable[[Dict[str, Any]], Dict[str, Any]]] = None, download: bool = False, checksum: bool = False, @@ -198,26 +195,18 @@ class CDL(GeoDataset): md5=md5 if self.checksum else None, ) - def plot( - self, - image: Tensor, - bbox: BoundingBox, - projection: CCRS = _ccrs, - transform: CCRS = _ccrs, - ) -> None: + def plot(self, image: Tensor) -> None: """Plot an image on a map. Args: image: the image to plot - bbox: the bounding box of the image - projection: :term:`projection` of map - transform: :term:`coordinate reference system (CRS)` of data """ # Convert from class labels to RGBA values array = image.squeeze().numpy() array = self.cmap[array] # Plot the image - ax = plt.axes(projection=projection) - ax.imshow(array, origin="lower", extent=bbox[:4], transform=transform) + ax = plt.axes() + ax.imshow(array, origin="lower") + ax.axis("off") plt.show() diff --git a/torchgeo/datasets/landsat.py b/torchgeo/datasets/landsat.py index 71e43d970..5a4e7472f 100644 --- a/torchgeo/datasets/landsat.py +++ b/torchgeo/datasets/landsat.py @@ -6,13 +6,11 @@ import os from datetime import datetime from typing import Any, Callable, Dict, Optional, Sequence -import cartopy.crs as ccrs import matplotlib.pyplot as plt import numpy as np import rasterio import torch -from cartopy.crs import CRS as CCRS -from rasterio.crs import CRS as RCRS +from rasterio.crs import CRS from rasterio.vrt import WarpedVRT from rtree.index import Index, Property from torch import Tensor @@ -20,8 +18,7 @@ from torch import Tensor from .geo import GeoDataset from .utils import BoundingBox -_ccrs = ccrs.UTM(16) -_rcrs = RCRS.from_epsg(32616) +_crs = CRS.from_epsg(32616) class Landsat(GeoDataset, abc.ABC): @@ -52,7 +49,7 @@ class Landsat(GeoDataset, abc.ABC): def __init__( self, root: str = "data", - crs: RCRS = _rcrs, + crs: CRS = _crs, bands: Sequence[str] = [], transforms: Optional[Callable[[Dict[str, Any]], Dict[str, Any]]] = None, ) -> None: @@ -139,20 +136,11 @@ class Landsat(GeoDataset, abc.ABC): return sample - def plot( - self, - image: Tensor, - bbox: BoundingBox, - projection: CCRS = _ccrs, - transform: CCRS = _ccrs, - ) -> None: + def plot(self, image: Tensor) -> None: """Plot an image on a map. Args: image: the image to plot - bbox: the bounding box of the image - projection: :term:`projection` of map - transform: :term:`coordinate reference system (CRS)` of data """ # Convert from CxHxW to HxWxC image = image.permute((1, 2, 0)) @@ -165,8 +153,9 @@ class Landsat(GeoDataset, abc.ABC): array = np.clip(array, 0, 1) # Plot the image - ax = plt.axes(projection=projection) - ax.imshow(array, origin="lower", extent=bbox[:4], transform=transform) + ax = plt.axes() + ax.imshow(array, origin="lower") + ax.axis("off") plt.show()