Migrate EuroSAT prototype dataset

test/builtin_dataset_mocks.py

@@ -1386,8 +1386,8 @@ def cub200(info, root, config):
     return num_samples_map[config.split]
 
 
-# @register_mock
-def eurosat(info, root, config):
+@register_mock(configs=[dict()])
+def eurosat(root, config):
     data_folder = root / "2750"
     data_folder.mkdir(parents=True)
 

torchvision/prototype/datasets/_builtin/eurosat.py

@@ -1,31 +1,44 @@
 import pathlib
-from typing import Any, Dict, List, Tuple
+from typing import Any, Dict, List, Tuple, Union
 
 from torchdata.datapipes.iter import IterDataPipe, Mapper
-from torchvision.prototype.datasets.utils import Dataset, DatasetConfig, DatasetInfo, HttpResource, OnlineResource
+from torchvision.prototype.datasets.utils import Dataset2, HttpResource, OnlineResource
 from torchvision.prototype.datasets.utils._internal import hint_sharding, hint_shuffling
 from torchvision.prototype.features import EncodedImage, Label
 
+from .._api import register_dataset, register_info
 
-class EuroSAT(Dataset):
-    def _make_info(self) -> DatasetInfo:
-        return DatasetInfo(
-            "eurosat",
-            homepage="https://github.com/phelber/eurosat",
-            categories=(
-                "AnnualCrop",
-                "Forest",
-                "HerbaceousVegetation",
-                "Highway",
-                "Industrial," "Pasture",
-                "PermanentCrop",
-                "Residential",
-                "River",
-                "SeaLake",
-            ),
+NAME = "eurosat"
+
+
+@register_info(NAME)
+def _info() -> Dict[str, Any]:
+    return dict(
+        categories=(
+            "AnnualCrop",
+            "Forest",
+            "HerbaceousVegetation",
+            "Highway",
+            "Industrial," "Pasture",
+            "PermanentCrop",
+            "Residential",
+            "River",
+            "SeaLake",
         )
+    )
+
 
-    def resources(self, config: DatasetConfig) -> List[OnlineResource]:
+@register_dataset(NAME)
+class EuroSAT(Dataset2):
+    """EuroSAT Dataset.
+    homepage="https://github.com/phelber/eurosat",
+    """
+
+    def __init__(self, root: Union[str, pathlib.Path], *, skip_integrity_check: bool = False) -> None:
+        self._categories = _info()["categories"]
+        super().__init__(root, skip_integrity_check=skip_integrity_check)
+
+    def _resources(self) -> List[OnlineResource]:
         return [
             HttpResource(
                 "https://madm.dfki.de/files/sentinel/EuroSAT.zip",
@@ -37,15 +50,16 @@ def _prepare_sample(self, data: Tuple[str, Any]) -> Dict[str, Any]:
         path, buffer = data
         category = pathlib.Path(path).parent.name
         return dict(
-            label=Label.from_category(category, categories=self.categories),
+            label=Label.from_category(category, categories=self._categories),
             path=path,
             image=EncodedImage.from_file(buffer),
         )
 
-    def _make_datapipe(
-        self, resource_dps: List[IterDataPipe], *, config: DatasetConfig
-    ) -> IterDataPipe[Dict[str, Any]]:
+    def _datapipe(self, resource_dps: List[IterDataPipe]) -> IterDataPipe[Dict[str, Any]]:
         dp = resource_dps[0]
         dp = hint_shuffling(dp)
         dp = hint_sharding(dp)
         return Mapper(dp, self._prepare_sample)
+
+    def __len__(self) -> int:
+        return 27_000