Bump pillow from 10.3.0 to 10.4.0 in /requirements (#2150)

.pre-commit-config.yaml

@@ -26,7 +26,7 @@ repos:
           - lightning>=2.0.9
           - matplotlib>=3.8.1
           - numpy>=1.22
-          - pillow>=10.3.0
+          - pillow>=10.4.0
           - pytest>=6.1.2
           - pyvista>=0.34.2
           - scikit-image>=0.22.0

experiments/ssl4eo/plot_example_predictions.py

@@ -63,13 +63,9 @@ for batch in datamodule.test_dataloader():
             data = sample[key]
             if key == 'image':
                 data = data[[2, 1, 0]].permute(1, 2, 0).numpy().astype('uint8')
-                Image.fromarray(data, 'RGB').save(  # type: ignore[no-untyped-call]
-                    f'{path}/{key}.png'
-                )
+                Image.fromarray(data, 'RGB').save(f'{path}/{key}.png')
             else:
                 data = data * 255 / 4
                 data = data.numpy().astype('uint8').squeeze()
-                Image.fromarray(data, 'L').save(  # type: ignore[no-untyped-call]
-                    f'{path}/{key}.png'
-                )
+                Image.fromarray(data, 'L').save(f'{path}/{key}.png')
         i += 1

requirements/required.txt

@@ -10,7 +10,7 @@ lightning[pytorch-extra]==2.2.5
 matplotlib==3.9.0
 numpy==1.26.4
 pandas==2.2.2
-pillow==10.3.0
+pillow==10.4.0
 pyproj==3.6.1
 rasterio==1.3.10
 rtree==1.2.0

torchgeo/datasets/seco.py

@@ -169,7 +169,7 @@ class SeasonalContrastS2(NonGeoDataset):
                     # what could be sped up throughout later. There is also a potential
                     # slowdown here from converting to/from a PIL Image just to resize.
                     # https://gist.github.com/calebrob6/748045ac8d844154067b2eefa47de92f
-                    pil_image = Image.fromarray(band_data)  # type: ignore[no-untyped-call]
+                    pil_image = Image.fromarray(band_data)
                     # Moved in PIL 9.1.0
                     try:
                         resample = Image.Resampling.BILINEAR