diff options
Diffstat (limited to 'text_recognizer/data/iam_synthetic_paragraphs.py')
| -rw-r--r-- | text_recognizer/data/iam_synthetic_paragraphs.py | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/text_recognizer/data/iam_synthetic_paragraphs.py b/text_recognizer/data/iam_synthetic_paragraphs.py index 5e66499..52ed398 100644 --- a/text_recognizer/data/iam_synthetic_paragraphs.py +++ b/text_recognizer/data/iam_synthetic_paragraphs.py @@ -6,7 +6,7 @@ import numpy as np from loguru import logger as log from PIL import Image -from text_recognizer.data.base_data_module import BaseDataModule, load_and_print_info +from text_recognizer.data.base_data_module import load_and_print_info from text_recognizer.data.base_dataset import BaseDataset, convert_strings_to_labels from text_recognizer.data.iam import IAM from text_recognizer.data.iam_lines import ( @@ -23,9 +23,10 @@ from text_recognizer.data.iam_paragraphs import ( ) from text_recognizer.data.mappings import EmnistMapping from text_recognizer.data.transforms.load_transform import load_transform_from_file +from text_recognizer.metadata import shared as metadata PROCESSED_DATA_DIRNAME = ( - BaseDataModule.data_dirname() / "processed" / "iam_synthetic_paragraphs" + metadata.DATA_DIRNAME / "processed" / "iam_synthetic_paragraphs" ) @@ -117,7 +118,8 @@ class IAMSyntheticParagraphs(IAMParagraphs): x = x[0] if isinstance(x, list) else x data = ( f"Train/val/test sizes: {len(self.data_train)}, 0, 0\n" - f"Train Batch x stats: {(x.shape, x.dtype, x.min(), x.mean(), x.std(), x.max())}\n" + "Train Batch x stats: " + f"{(x.shape, x.dtype, x.min(), x.mean(), x.std(), x.max())}\n" f"Train Batch y stats: {(y.shape, y.dtype, y.min(), y.max())}\n" ) return basic + data |