[Fix] Change CustomDataset to BaseSegDataset

demo/MMSegmentation_Tutorial.ipynb

@@ -381,10 +381,10 @@
    "outputs": [],
    "source": [
     "from mmseg.datasets.builder import DATASETS\n",
-    "from mmseg.datasets.custom import CustomDataset\n",
+    "from mmseg.datasets.custom import BaseSegDataset\n",
     "\n",
     "@DATASETS.register_module()\n",
-    "class StanfordBackgroundDataset(CustomDataset):\n",
+    "class StanfordBackgroundDataset(BaseSegDataset):\n",
     "  CLASSES = classes\n",
     "  PALETTE = palette\n",
     "  def __init__(self, split, **kwargs):\n",

mmseg/datasets/__init__.py

@@ -3,7 +3,7 @@
 from .chase_db1 import ChaseDB1Dataset
 from .cityscapes import CityscapesDataset
 from .coco_stuff import COCOStuffDataset
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 from .dark_zurich import DarkZurichDataset
 from .dataset_wrappers import MultiImageMixDataset
 from .drive import DRIVEDataset
@@ -22,7 +22,7 @@
 from .voc import PascalVOCDataset
 
 __all__ = [
-    'CustomDataset', 'CityscapesDataset', 'PascalVOCDataset', 'ADE20KDataset',
+    'BaseSegDataset', 'CityscapesDataset', 'PascalVOCDataset', 'ADE20KDataset',
     'PascalContextDataset', 'PascalContextDataset59', 'ChaseDB1Dataset',
     'DRIVEDataset', 'HRFDataset', 'STAREDataset', 'DarkZurichDataset',
     'NightDrivingDataset', 'COCOStuffDataset', 'LoveDADataset',

mmseg/datasets/ade.py

@@ -1,10 +1,10 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 from mmseg.registry import DATASETS
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 
 
 @DATASETS.register_module()
-class ADE20KDataset(CustomDataset):
+class ADE20KDataset(BaseSegDataset):
     """ADE20K dataset.
 
     In segmentation map annotation for ADE20K, 0 stands for background, which

mmseg/datasets/chase_db1.py

@@ -1,11 +1,11 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 
 from mmseg.registry import DATASETS
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 
 
 @DATASETS.register_module()
-class ChaseDB1Dataset(CustomDataset):
+class ChaseDB1Dataset(BaseSegDataset):
     """Chase_db1 dataset.
 
     In segmentation map annotation for Chase_db1, 0 stands for background,

mmseg/datasets/cityscapes.py

@@ -1,10 +1,10 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 from mmseg.registry import DATASETS
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 
 
 @DATASETS.register_module()
-class CityscapesDataset(CustomDataset):
+class CityscapesDataset(BaseSegDataset):
     """Cityscapes dataset.
 
     The ``img_suffix`` is fixed to '_leftImg8bit.png' and ``seg_map_suffix`` is

mmseg/datasets/coco_stuff.py

@@ -1,10 +1,10 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 from mmseg.registry import DATASETS
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 
 
 @DATASETS.register_module()
-class COCOStuffDataset(CustomDataset):
+class COCOStuffDataset(BaseSegDataset):
     """COCO-Stuff dataset.
 
     In segmentation map annotation for COCO-Stuff, Train-IDs of the 10k version

mmseg/datasets/custom.py

@@ -11,7 +11,7 @@
 
 
 @DATASETS.register_module()
-class CustomDataset(BaseDataset):
+class BaseSegDataset(BaseDataset):
     """Custom dataset for semantic segmentation. An example of file structure
     is as followed.
 
@@ -32,7 +32,7 @@ class CustomDataset(BaseDataset):
         │   │   │   │   ├── zzz{seg_map_suffix}
         │   │   │   ├── val
 
-    The img/gt_semantic_seg pair of CustomDataset should be of the same
+    The img/gt_semantic_seg pair of BaseSegDataset should be of the same
     except suffix. A valid img/gt_semantic_seg filename pair should be like
     ``xxx{img_suffix}`` and ``xxx{seg_map_suffix}`` (extension is also included
     in the suffix). If split is given, then ``xxx`` is specified in txt file.

mmseg/datasets/drive.py

@@ -1,11 +1,11 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 
 from mmseg.registry import DATASETS
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 
 
 @DATASETS.register_module()
-class DRIVEDataset(CustomDataset):
+class DRIVEDataset(BaseSegDataset):
     """DRIVE dataset.
 
     In segmentation map annotation for DRIVE, 0 stands for background, which is

mmseg/datasets/hrf.py

@@ -1,11 +1,11 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 
 from mmseg.registry import DATASETS
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 
 
 @DATASETS.register_module()
-class HRFDataset(CustomDataset):
+class HRFDataset(BaseSegDataset):
     """HRF dataset.
 
     In segmentation map annotation for HRF, 0 stands for background, which is

mmseg/datasets/isaid.py

@@ -1,10 +1,10 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 from mmseg.registry import DATASETS
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 
 
 @DATASETS.register_module()
-class iSAIDDataset(CustomDataset):
+class iSAIDDataset(BaseSegDataset):
     """ iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
     In segmentation map annotation for iSAID dataset, which is included
     in 16 categories. ``reduce_zero_label`` is fixed to False. The

mmseg/datasets/isprs.py

@@ -1,10 +1,10 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 from mmseg.registry import DATASETS
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 
 
 @DATASETS.register_module()
-class ISPRSDataset(CustomDataset):
+class ISPRSDataset(BaseSegDataset):
     """ISPRS dataset.
 
     In segmentation map annotation for ISPRS, 0 is the ignore index.

mmseg/datasets/loveda.py

@@ -1,10 +1,10 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 from mmseg.registry import DATASETS
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 
 
 @DATASETS.register_module()
-class LoveDADataset(CustomDataset):
+class LoveDADataset(BaseSegDataset):
     """LoveDA dataset.
 
     In segmentation map annotation for LoveDA, 0 is the ignore index.

mmseg/datasets/pascal_context.py

@@ -2,11 +2,11 @@
 import os.path as osp
 
 from mmseg.registry import DATASETS
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 
 
 @DATASETS.register_module()
-class PascalContextDataset(CustomDataset):
+class PascalContextDataset(BaseSegDataset):
     """PascalContext dataset.
 
     In segmentation map annotation for PascalContext, 0 stands for background,
@@ -57,7 +57,7 @@ def __init__(self, ann_file: str, **kwargs) -> None:
 
 
 @DATASETS.register_module()
-class PascalContextDataset59(CustomDataset):
+class PascalContextDataset59(BaseSegDataset):
     """PascalContext dataset.
 
     In segmentation map annotation for PascalContext, 0 stands for background,

mmseg/datasets/potsdam.py

@@ -1,10 +1,10 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 from mmseg.registry import DATASETS
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 
 
 @DATASETS.register_module()
-class PotsdamDataset(CustomDataset):
+class PotsdamDataset(BaseSegDataset):
     """ISPRS Potsdam dataset.
 
     In segmentation map annotation for Potsdam dataset, 0 is the ignore index.

mmseg/datasets/stare.py

@@ -1,10 +1,10 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 from mmseg.registry import DATASETS
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 
 
 @DATASETS.register_module()
-class STAREDataset(CustomDataset):
+class STAREDataset(BaseSegDataset):
     """STARE dataset.
 
     In segmentation map annotation for STARE, 0 stands for background, which is

mmseg/datasets/voc.py

@@ -2,11 +2,11 @@
 import os.path as osp
 
 from mmseg.registry import DATASETS
-from .custom import CustomDataset
+from .custom import BaseSegDataset
 
 
 @DATASETS.register_module()
-class PascalVOCDataset(CustomDataset):
+class PascalVOCDataset(BaseSegDataset):
     """Pascal VOC dataset.
 
     Args:

tests/test_datasets/test_dataset.py

@@ -6,10 +6,10 @@
 
 import pytest
 
-from mmseg.datasets import (ADE20KDataset, CityscapesDataset, COCOStuffDataset,
-                            CustomDataset, ISPRSDataset, LoveDADataset,
-                            PascalVOCDataset, PotsdamDataset, iSAIDDataset)
-from mmseg.registry import DATASETS
+from mmseg.datasets import (ADE20KDataset, BaseSegDataset,
+                            CityscapesDataset, COCOStuffDataset, ISPRSDataset,
+                            LoveDADataset, PascalVOCDataset, PotsdamDataset,
+                            iSAIDDataset)
 from mmseg.utils import get_classes, get_palette
 
 
@@ -87,7 +87,7 @@ def test_palette():
 def test_custom_dataset():
 
     # with 'img_path' and 'seg_map_path' in data_prefix
-    train_dataset = CustomDataset(
+    train_dataset = BaseSegDataset(
         data_root=osp.join(osp.dirname(__file__), '../data/pseudo_dataset'),
         data_prefix=dict(
             img_path='imgs/',
@@ -98,7 +98,7 @@ def test_custom_dataset():
     assert len(train_dataset) == 5
 
     # with 'img_path' and 'seg_map_path' in data_prefix and ann_file
-    train_dataset = CustomDataset(
+    train_dataset = BaseSegDataset(
         data_root=osp.join(osp.dirname(__file__), '../data/pseudo_dataset'),
         data_prefix=dict(
             img_path='imgs/',
@@ -110,7 +110,7 @@ def test_custom_dataset():
     assert len(train_dataset) == 4
 
     # no data_root
-    train_dataset = CustomDataset(
+    train_dataset = BaseSegDataset(
         data_prefix=dict(
             img_path=osp.join(
                 osp.dirname(__file__), '../data/pseudo_dataset/imgs'),
@@ -122,7 +122,7 @@ def test_custom_dataset():
 
     # with data_root but 'img_path' and 'seg_map_path' in data_prefix are
     # abs path
-    train_dataset = CustomDataset(
+    train_dataset = BaseSegDataset(
         data_root=osp.join(osp.dirname(__file__), '../data/pseudo_dataset'),
         data_prefix=dict(
             img_path=osp.join(
@@ -134,7 +134,7 @@ def test_custom_dataset():
     assert len(train_dataset) == 5
 
     # test_mode=True
-    test_dataset = CustomDataset(
+    test_dataset = BaseSegDataset(
         data_prefix=dict(
             img_path=osp.join(
                 osp.dirname(__file__), '../data/pseudo_dataset/imgs')),
@@ -245,7 +245,7 @@ def test_isaid():
 @pytest.mark.parametrize('dataset, classes', [
     ('ADE20KDataset', ('wall', 'building')),
     ('CityscapesDataset', ('road', 'sidewalk')),
-    ('CustomDataset', ('bus', 'car')),
+    ('BaseSegDataset', ('bus', 'car')),
     ('PascalVOCDataset', ('aeroplane', 'bicycle')),
 ])
 def test_custom_classes_override_default(dataset, classes):
@@ -269,7 +269,7 @@ def test_custom_classes_override_default(dataset, classes):
 
     assert custom_dataset.metainfo['classes'] != original_classes
     assert custom_dataset.metainfo['classes'] == classes
-    if not isinstance(custom_dataset, CustomDataset):
+    if not isinstance(custom_dataset, BaseSegDataset):
         assert isinstance(custom_dataset.label_map, dict)
 
     # Test setting classes as a list
@@ -282,7 +282,7 @@ def test_custom_classes_override_default(dataset, classes):
 
     assert custom_dataset.metainfo['classes'] != original_classes
     assert custom_dataset.metainfo['classes'] == list(classes)
-    if not isinstance(custom_dataset, CustomDataset):
+    if not isinstance(custom_dataset, BaseSegDataset):
         assert isinstance(custom_dataset.label_map, dict)
 
     # Test overriding not a subset
@@ -295,11 +295,11 @@ def test_custom_classes_override_default(dataset, classes):
 
     assert custom_dataset.metainfo['classes'] != original_classes
     assert custom_dataset.metainfo['classes'] == [classes[0]]
-    if not isinstance(custom_dataset, CustomDataset):
+    if not isinstance(custom_dataset, BaseSegDataset):
         assert isinstance(custom_dataset.label_map, dict)
 
     # Test default behavior
-    if dataset_class is CustomDataset:
+    if dataset_class is BaseSegDataset:
         with pytest.raises(AssertionError):
             custom_dataset = dataset_class(
                 ann_file=ann_file,
@@ -320,7 +320,7 @@ def test_custom_classes_override_default(dataset, classes):
 
 
 def test_custom_dataset_random_palette_is_generated():
-    dataset = CustomDataset(
+    dataset = BaseSegDataset(
         pipeline=[],
         data_prefix=dict(img_path=MagicMock()),
         ann_file=MagicMock(),
@@ -334,7 +334,7 @@ def test_custom_dataset_random_palette_is_generated():
 
 
 def test_custom_dataset_custom_palette():
-    dataset = CustomDataset(
+    dataset = BaseSegDataset(
         data_prefix=dict(img_path=MagicMock()),
         ann_file=MagicMock(),
         metainfo=dict(
@@ -346,7 +346,7 @@ def test_custom_dataset_custom_palette():
                                                         [200, 200, 200]])
     # test custom class and palette don't match
     with pytest.raises(ValueError):
-        dataset = CustomDataset(
+        dataset = BaseSegDataset(
             data_prefix=dict(img_path=MagicMock()),
             ann_file=MagicMock(),
             metainfo=dict(classes=('bus', 'car'), palette=[[200, 200, 200]]),