Emnist lines data loader implemented.

1 files changed, 13 insertions, 18 deletions

diff --git a/src/text_recognizer/datasets/emnist_dataset.py b/src/text_recognizer/datasets/emnist_dataset.py
index 525df95..f3d65ee 100644
--- a/src/text_recognizer/datasets/emnist_dataset.py
+++ b/src/text_recognizer/datasets/emnist_dataset.py
@@ -260,21 +260,23 @@ class EmnistDataLoaders:
 
         """
         self.splits = splits
-        self.sample_to_balance = sample_to_balance
 
         if subsample_fraction is not None:
             if not 0.0 < subsample_fraction < 1.0:
                 raise ValueError("The subsample fraction must be in (0, 1).")
 
-        self.subsample_fraction = subsample_fraction
-        self.transform = transform
-        self.target_transform = target_transform
+        self.dataset_args = {
+            "sample_to_balance": sample_to_balance,
+            "subsample_fraction": subsample_fraction,
+            "transform": transform,
+            "target_transform": target_transform,
+            "seed": seed,
+        }
         self.batch_size = batch_size
         self.shuffle = shuffle
         self.num_workers = num_workers
         self.cuda = cuda
-        self.seed = seed
-        self._data_loaders = self._fetch_emnist_data_loaders()
+        self._data_loaders = self._load_data_loaders()
 
     def __repr__(self) -> str:
         """Returns information about the dataset."""
@@ -303,7 +305,7 @@ class EmnistDataLoaders:
         except KeyError:
             raise ValueError(f"Split {split} does not exist.")
 
-    def _fetch_emnist_data_loaders(self) -> Dict[str, DataLoader]:
+    def _load_data_loaders(self) -> Dict[str, DataLoader]:
         """Fetches the EMNIST dataset and return a Dict of PyTorch DataLoaders."""
         data_loaders = {}
 
@@ -311,18 +313,11 @@ class EmnistDataLoaders:
             if split in self.splits:
 
                 if split == "train":
-                    train = True
+                    self.dataset_args["train"] = True
                 else:
-                    train = False
-
-                emnist_dataset = EmnistDataset(
-                    train=train,
-                    sample_to_balance=self.sample_to_balance,
-                    subsample_fraction=self.subsample_fraction,
-                    transform=self.transform,
-                    target_transform=self.target_transform,
-                    seed=self.seed,
-                )
+                    self.dataset_args["train"] = False
+
+                emnist_dataset = EmnistDataset(**self.dataset_args)
 
                 emnist_dataset.load_emnist_dataset()