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]: |