Bump-up Datumaro 1.2.0rc3 --> 1.3.2 and resolve errors (#2270)

Bump-up Datumaro and fix bugs

Author: sungmanc

requirements/base.txt

@@ -4,7 +4,7 @@ natsort>=6.0.0
 prettytable
 protobuf>=3.20.0
 pyyaml
-datumaro==1.2.0rc3
+datumaro==1.3.2
 psutil
 scipy>=1.8
 bayesian-optimization>=1.2.0

tests/assets/cityscapes_dataset/dataset/imgsFine/leftImg8bit/test/defaultcity/defaultcity_000001_000031_leftImg8bit.png tests/assets/cityscapes_dataset/dataset/leftImg8bit/test/defaultcity/defaultcity_000001_000031_leftImg8bit.png

@@ -105,7 +105,7 @@ def test_direct_annotation(task_name, train_type):
         train_ann_files="tests/assets/car_tree_bug/annotations/instances_train_5_imgs.json",
         val_data_roots=os.path.join(root_path, data_root["val"]),
     )
-    assert t_adapter.dataset[Subset.TRAINING].get_subset("train").get_annotated_items() == 5
+    assert t_adapter.dataset[Subset.TRAINING].get_subset("train_5_imgs").get_annotated_items() == 5
 
     v_adapter = get_dataset_adapter(
         task_type=task_type,
@@ -114,7 +114,7 @@ def test_direct_annotation(task_name, train_type):
         val_data_roots=os.path.join(root_path, data_root["val"]),
         val_ann_files="tests/assets/car_tree_bug/annotations/instances_val_1_imgs.json",
     )
-    assert v_adapter.dataset[Subset.VALIDATION].get_subset("val").get_annotated_items() == 1
+    assert v_adapter.dataset[Subset.VALIDATION].get_subset("val_1_imgs").get_annotated_items() == 1
 
     tv_adapter = get_dataset_adapter(
         task_type=task_type,
@@ -124,8 +124,8 @@ def test_direct_annotation(task_name, train_type):
         val_data_roots=os.path.join(root_path, data_root["val"]),
         val_ann_files="tests/assets/car_tree_bug/annotations/instances_val_1_imgs.json",
     )
-    assert tv_adapter.dataset[Subset.TRAINING].get_subset("train").get_annotated_items() == 5
-    assert tv_adapter.dataset[Subset.VALIDATION].get_subset("val").get_annotated_items() == 1
+    assert tv_adapter.dataset[Subset.TRAINING].get_subset("train_5_imgs").get_annotated_items() == 5
+    assert tv_adapter.dataset[Subset.VALIDATION].get_subset("val_1_imgs").get_annotated_items() == 1
 
 
 @e2e_pytest_unit

tests/assets/cityscapes_dataset/dataset/imgsFine/leftImg8bit/test/defaultcity/defaultcity_000001_000032_leftImg8bit.png tests/assets/cityscapes_dataset/dataset/leftImg8bit/test/defaultcity/defaultcity_000001_000032_leftImg8bit.png

@@ -106,7 +106,7 @@ def test_import_dataset_with_direct_annotation(self, data_root):
 
         ann_files = "tests/assets/car_tree_bug/annotations/instances_train_5_imgs.json"
         train_dataset = DatasetManager.import_dataset(ann_files, data_format=data_format, subset="train")
-        assert train_dataset.get_subset("train").get_annotated_items() == 5
+        assert train_dataset.get_subset("train_5_imgs").get_annotated_items() == 5
 
     @e2e_pytest_unit
     @pytest.mark.parametrize("task", AVAILABLE_TASKS)