diff options
-rw-r--r-- | text_recognizer/data/iam_lines.py | 4 | ||||
-rw-r--r-- | text_recognizer/data/iam_paragraphs.py | 4 | ||||
-rw-r--r-- | text_recognizer/models/base.py | 12 |
3 files changed, 15 insertions, 5 deletions
diff --git a/text_recognizer/data/iam_lines.py b/text_recognizer/data/iam_lines.py index 705cfa3..13dd379 100644 --- a/text_recognizer/data/iam_lines.py +++ b/text_recognizer/data/iam_lines.py @@ -43,7 +43,9 @@ class IAMLines(BaseDataModule): augment: bool = attr.ib(default=True) fraction: float = attr.ib(default=0.8) - dims: Tuple[int, int, int] = attr.ib(init=False, default=(1, IMAGE_HEIGHT, IMAGE_WIDTH)) + dims: Tuple[int, int, int] = attr.ib( + init=False, default=(1, IMAGE_HEIGHT, IMAGE_WIDTH) + ) output_dims: Tuple[int, int] = attr.ib(init=False, default=(MAX_LABEL_LENGTH, 1)) def __attrs_post_init__(self) -> None: diff --git a/text_recognizer/data/iam_paragraphs.py b/text_recognizer/data/iam_paragraphs.py index 9977978..de32875 100644 --- a/text_recognizer/data/iam_paragraphs.py +++ b/text_recognizer/data/iam_paragraphs.py @@ -41,7 +41,9 @@ class IAMParagraphs(BaseDataModule): augment: bool = attr.ib(default=True) train_fraction: float = attr.ib(default=0.8) word_pieces: bool = attr.ib(default=False) - dims: Tuple[int, int, int] = attr.ib(init=False, default=(1, IMAGE_HEIGHT, IMAGE_WIDTH)) + dims: Tuple[int, int, int] = attr.ib( + init=False, default=(1, IMAGE_HEIGHT, IMAGE_WIDTH) + ) output_dims: Tuple[int, int] = attr.ib(init=False, default=(MAX_LABEL_LENGTH, 1)) def __attrs_post_init__(self) -> None: diff --git a/text_recognizer/models/base.py b/text_recognizer/models/base.py index 3b83056..3e02261 100644 --- a/text_recognizer/models/base.py +++ b/text_recognizer/models/base.py @@ -31,9 +31,15 @@ class BaseLitModel(LightningModule): loss_fn: Type[nn.Module] = attr.ib(init=False) - train_acc: torchmetrics.Accuracy = attr.ib(init=False, default=torchmetrics.Accuracy()) - val_acc: torchmetrics.Accuracy = attr.ib(init=False, default=torchmetrics.Accuracy()) - test_acc: torchmetrics.Accuracy = attr.ib(init=False, default=torchmetrics.Accuracy()) + train_acc: torchmetrics.Accuracy = attr.ib( + init=False, default=torchmetrics.Accuracy() + ) + val_acc: torchmetrics.Accuracy = attr.ib( + init=False, default=torchmetrics.Accuracy() + ) + test_acc: torchmetrics.Accuracy = attr.ib( + init=False, default=torchmetrics.Accuracy() + ) @loss_fn.default def configure_criterion(self) -> Type[nn.Module]: |