Remove dependency on cartopy (#51)

* Remove dependency on cartopy

* Remove extent and bbox

.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

.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: |

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),

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": [
         {

environment.yml

@@ -1,6 +1,5 @@
 name: torchgeo
 dependencies:
-  - cartopy
   - cudatoolkit=11.1
   - h5py
   - matplotlib

requirements.txt

@@ -1,6 +1,5 @@
 affine
 black[colorama]>=21b
-cartopy
 flake8
 h5py
 isort[colors]>=4.3.5

setup.cfg

@@ -27,7 +27,6 @@ setup_requires =
     setuptools>=42
 install_requires =
     affine
-    cartopy
     matplotlib
     numpy
     pillow

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"

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."):

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 "):

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()

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()