Fix tests

Author: adamjstewart

tests/datasets/test_ssl4eo.py

@@ -65,7 +65,7 @@ def test_getitem(self, dataset: SSL4EOL) -> None:
         assert isinstance(x['image'], torch.Tensor)
         assert (
             x['image'].size(0)
-            == dataset.seasons * dataset.metadata[dataset.split]['num_bands']
+            == dataset.seasons * len(dataset.metadata[dataset.split]['all_bands'])
         )
 
     def test_len(self, dataset: SSL4EOL) -> None:

torchgeo/datasets/landsat.py

@@ -226,7 +226,7 @@ class Landsat7(Landsat):
 
     filename_glob = 'LE07_*_{}.*'
 
-    default_bands = ('SR_B1', 'SR_B2', 'SR_B3', 'SR_B4', 'SR_B5', 'SR_B6', 'SR_B7')
+    default_bands = ('SR_B1', 'SR_B2', 'SR_B3', 'SR_B4', 'SR_B5', 'SR_B7')
     rgb_bands = ('SR_B3', 'SR_B2', 'SR_B1')
 
     wavelengths: ClassVar[dict[str, float]] = {

torchgeo/datasets/ssl4eo.py

@@ -103,15 +103,42 @@ class SSL4EOL(SSL4EO):
     """
 
     class _Metadata(TypedDict):
-        num_bands: int
+        all_bands: list[str]
         rgb_bands: list[int]
 
     metadata: ClassVar[dict[str, _Metadata]] = {
-        'tm_toa': {'num_bands': 7, 'rgb_bands': [2, 1, 0]},
-        'etm_toa': {'num_bands': 9, 'rgb_bands': [2, 1, 0]},
-        'etm_sr': {'num_bands': 6, 'rgb_bands': [2, 1, 0]},
-        'oli_tirs_toa': {'num_bands': 11, 'rgb_bands': [3, 2, 1]},
-        'oli_sr': {'num_bands': 7, 'rgb_bands': [3, 2, 1]},
+        'tm_toa': {
+            'all_bands': ['B1', 'B2', 'B3', 'B4', 'B5', 'B6', 'B7'],
+            'rgb_bands': [2, 1, 0],
+        },
+        'etm_toa': {
+            'all_bands': ['B1', 'B2', 'B3', 'B4', 'B5', 'B6', 'B6', 'B7', 'B8'],
+            'rgb_bands': [2, 1, 0],
+        },
+        'etm_sr': {
+            'all_bands': ['B1', 'B2', 'B3', 'B4', 'B5', 'B7'],
+            'rgb_bands': [2, 1, 0],
+        },
+        'oli_tirs_toa': {
+            'all_bands': [
+                'B1',
+                'B2',
+                'B3',
+                'B4',
+                'B5',
+                'B6',
+                'B7',
+                'B8',
+                'B9',
+                'B10',
+                'B11',
+            ],
+            'rgb_bands': [3, 2, 1],
+        },
+        'oli_sr': {
+            'all_bands': ['B1', 'B2', 'B3', 'B4', 'B5', 'B6', 'B7'],
+            'rgb_bands': [3, 2, 1],
+        },
     }
 
     url = 'https://hf.co/datasets/torchgeo/ssl4eo_l/resolve/e2467887e6a6bcd7547d9d5999f8d9bc3323dc31/{0}/ssl4eo_l_{0}.tar.gz{1}'
@@ -212,8 +239,8 @@ def __init__(
             base = Landsat8
 
         self.wavelengths = []
-        for band in range(1, self.metadata[split]['num_bands'] + 1):
-            self.wavelengths.append(base.wavelengths[f'B{band}'])
+        for band in self.metadata[split]['all_bands']:
+            self.wavelengths.append(base.wavelengths[band])
 
         self.scenes = sorted(os.listdir(self.subdir))
 
@@ -236,7 +263,7 @@ def __getitem__(self, index: int) -> dict[str, Tensor]:
         ts = []
         wavelengths = []
         for subdir in subdirs:
-            mint, maxt = disambiguate_timestamp(subdir[:-8], Landsat.date_format)
+            mint, maxt = disambiguate_timestamp(subdir[-8:], Landsat.date_format)
             directory = os.path.join(root, subdir)
             filename = os.path.join(directory, 'all_bands.tif')
             with rasterio.open(filename) as f:
@@ -338,7 +365,7 @@ def plot(
         fig, axes = plt.subplots(
             ncols=self.seasons, squeeze=False, figsize=(4 * self.seasons, 4)
         )
-        num_bands = self.metadata[self.split]['num_bands']
+        num_bands = len(self.metadata[self.split]['all_bands'])
         rgb_bands = self.metadata[self.split]['rgb_bands']
 
         for i in range(self.seasons):