diff options
Diffstat (limited to 'text_recognizer/data/emnist_lines.py')
| -rw-r--r-- | text_recognizer/data/emnist_lines.py | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/text_recognizer/data/emnist_lines.py b/text_recognizer/data/emnist_lines.py index 062257d..ba1b61c 100644 --- a/text_recognizer/data/emnist_lines.py +++ b/text_recognizer/data/emnist_lines.py @@ -16,7 +16,7 @@ from text_recognizer.data.base_data_module import ( ) from text_recognizer.data.base_dataset import BaseDataset, convert_strings_to_labels from text_recognizer.data.emnist import EMNIST -from text_recognizer.data.mappings import AbstractMapping +from text_recognizer.data.mappings import EmnistMapping from text_recognizer.data.transforms.load_transform import load_transform_from_file from text_recognizer.data.utils.sentence_generator import SentenceGenerator @@ -38,7 +38,7 @@ class EMNISTLines(BaseDataModule): def __init__( self, - mapping: Type[AbstractMapping], + mapping: Type[EmnistMapping], transform: Optional[Callable] = None, test_transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, @@ -113,7 +113,6 @@ class EMNISTLines(BaseDataModule): """Loads the dataset.""" log.info("EMNISTLinesDataset loading data from HDF5...") if stage == "fit" or stage is None: - print(self.data_filename) with h5py.File(self.data_filename, "r") as f: x_train = f["x_train"][:] y_train = torch.LongTensor(f["y_train"][:]) |