Samplers: avoid bounding boxes smaller than patch size

tests/samplers/test_batch.py

@@ -98,6 +98,14 @@ def test_roi(self) -> None:
             for query in batch:
                 assert query in roi
 
+    def test_small_area(self) -> None:
+        ds = CustomGeoDataset()
+        ds.index.insert(0, (0, 10, 0, 10, 0, 10))
+        ds.index.insert(1, (20, 21, 20, 21, 20, 21))
+        sampler = RandomBatchGeoSampler(ds, 2, 2, 10)
+        for _ in sampler:
+            continue
+
     @pytest.mark.slow
     @pytest.mark.parametrize("num_workers", [0, 1, 2])
     def test_dataloader(self, sampler: RandomBatchGeoSampler, num_workers: int) -> None:

tests/samplers/test_single.py

@@ -95,6 +95,14 @@ def test_roi(self) -> None:
         for query in sampler:
             assert query in roi
 
+    def test_small_area(self) -> None:
+        ds = CustomGeoDataset()
+        ds.index.insert(0, (0, 10, 0, 10, 0, 10))
+        ds.index.insert(1, (20, 21, 20, 21, 20, 21))
+        sampler = RandomGeoSampler(ds, 2, 10)
+        for _ in sampler:
+            continue
+
     @pytest.mark.slow
     @pytest.mark.parametrize("num_workers", [0, 1, 2])
     def test_dataloader(self, sampler: RandomGeoSampler, num_workers: int) -> None:
@@ -145,6 +153,14 @@ def test_roi(self) -> None:
         for query in sampler:
             assert query in roi
 
+    def test_small_area(self) -> None:
+        ds = CustomGeoDataset()
+        ds.index.insert(0, (0, 10, 0, 10, 0, 10))
+        ds.index.insert(1, (20, 21, 20, 21, 20, 21))
+        sampler = GridGeoSampler(ds, 2, 10)
+        for _ in sampler:
+            continue
+
     @pytest.mark.slow
     @pytest.mark.parametrize("num_workers", [0, 1, 2])
     def test_dataloader(self, sampler: GridGeoSampler, num_workers: int) -> None:

torchgeo/samplers/batch.py

@@ -93,7 +93,14 @@ def __init__(
         self.size = _to_tuple(size)
         self.batch_size = batch_size
         self.length = length
-        self.hits = list(self.index.intersection(tuple(self.roi), objects=True))
+        self.hits = []
+        for hit in self.index.intersection(tuple(self.roi), objects=True):
+            bounds = BoundingBox(*hit.bounds)
+            if (
+                bounds.maxx - bounds.minx > self.size[1]
+                and bounds.maxy - bounds.miny > self.size[0]
+            ):
+                self.hits.append(hit)
 
     def __iter__(self) -> Iterator[List[BoundingBox]]:
         """Return the indices of a dataset.

torchgeo/samplers/single.py

@@ -93,7 +93,14 @@ def __init__(
         super().__init__(dataset, roi)
         self.size = _to_tuple(size)
         self.length = length
-        self.hits = list(self.index.intersection(tuple(self.roi), objects=True))
+        self.hits = []
+        for hit in self.index.intersection(tuple(self.roi), objects=True):
+            bounds = BoundingBox(*hit.bounds)
+            if (
+                bounds.maxx - bounds.minx > self.size[1]
+                and bounds.maxy - bounds.miny > self.size[0]
+            ):
+                self.hits.append(hit)
 
     def __iter__(self) -> Iterator[BoundingBox]:
         """Return the index of a dataset.
@@ -161,7 +168,14 @@ def __init__(
         super().__init__(dataset, roi)
         self.size = _to_tuple(size)
         self.stride = _to_tuple(stride)
-        self.hits = list(self.index.intersection(tuple(self.roi), objects=True))
+        self.hits = []
+        for hit in self.index.intersection(tuple(self.roi), objects=True):
+            bounds = BoundingBox(*hit.bounds)
+            if (
+                bounds.maxx - bounds.minx > self.size[1]
+                and bounds.maxy - bounds.miny > self.size[0]
+            ):
+                self.hits.append(hit)
 
         self.length: int = 0
         for hit in self.hits: