diff options
| -rw-r--r-- | text_recognizer/data/iam_paragraphs.py | 5 | ||||
| -rw-r--r-- | text_recognizer/data/iam_synthetic_paragraphs.py | 8 | ||||
| -rw-r--r-- | text_recognizer/networks/efficientnet/efficientnet.py | 4 | ||||
| -rw-r--r-- | text_recognizer/networks/efficientnet/mbconv.py | 5 |
4 files changed, 4 insertions, 18 deletions
diff --git a/text_recognizer/data/iam_paragraphs.py b/text_recognizer/data/iam_paragraphs.py index a8d5e0d..033b93e 100644 --- a/text_recognizer/data/iam_paragraphs.py +++ b/text_recognizer/data/iam_paragraphs.py @@ -86,10 +86,7 @@ class IAMParagraphs(BaseDataModule): length=self.output_dims[0], ) return BaseDataset( - data, - targets, - transform=transform, - target_transform=target_transform, + data, targets, transform=transform, target_transform=target_transform, ) log.info(f"Loading IAM paragraph regions and lines for {stage}...") diff --git a/text_recognizer/data/iam_synthetic_paragraphs.py b/text_recognizer/data/iam_synthetic_paragraphs.py index 351e052..ea59098 100644 --- a/text_recognizer/data/iam_synthetic_paragraphs.py +++ b/text_recognizer/data/iam_synthetic_paragraphs.py @@ -46,13 +46,7 @@ class IAMSyntheticParagraphs(IAMParagraphs): log.info("Preparing IAM lines for synthetic paragraphs dataset.") log.info("Cropping IAM line regions and loading labels.") - iam = IAM( - mapping=EmnistMapping( - extra_symbols={ - NEW_LINE_TOKEN, - } - ) - ) + iam = IAM(mapping=EmnistMapping(extra_symbols=(NEW_LINE_TOKEN,))) iam.prepare_data() crops_train, labels_train = line_crops_and_labels(iam, "train") diff --git a/text_recognizer/networks/efficientnet/efficientnet.py b/text_recognizer/networks/efficientnet/efficientnet.py index bc0cdeb..4c9ed75 100644 --- a/text_recognizer/networks/efficientnet/efficientnet.py +++ b/text_recognizer/networks/efficientnet/efficientnet.py @@ -88,9 +88,7 @@ class EfficientNet(nn.Module): for _ in range(num_repeats): self._blocks.append( MBConvBlock( - **args, - bn_momentum=self.bn_momentum, - bn_eps=self.bn_eps, + **args, bn_momentum=self.bn_momentum, bn_eps=self.bn_eps, ) ) args.in_channels = args.out_channels diff --git a/text_recognizer/networks/efficientnet/mbconv.py b/text_recognizer/networks/efficientnet/mbconv.py index 6324191..beb7d57 100644 --- a/text_recognizer/networks/efficientnet/mbconv.py +++ b/text_recognizer/networks/efficientnet/mbconv.py @@ -158,10 +158,7 @@ class MBConvBlock(nn.Module): def _configure_padding(self) -> Tuple[int, int, int, int]: """Set padding for convolutional layers.""" if self.stride == (2, 2): - return ( - (self.kernel_size - 1) // 2 - 1, - (self.kernel_size - 1) // 2, - ) * 2 + return ((self.kernel_size - 1) // 2 - 1, (self.kernel_size - 1) // 2,) * 2 return ((self.kernel_size - 1) // 2,) * 4 def __attrs_post_init__(self) -> None: |