summaryrefslogtreecommitdiff
path: root/text_recognizer/data/iam_extended_paragraphs.py
diff options
context:
space:
mode:
Diffstat (limited to 'text_recognizer/data/iam_extended_paragraphs.py')
-rw-r--r--text_recognizer/data/iam_extended_paragraphs.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/text_recognizer/data/iam_extended_paragraphs.py b/text_recognizer/data/iam_extended_paragraphs.py
index 0e97801..ccf0759 100644
--- a/text_recognizer/data/iam_extended_paragraphs.py
+++ b/text_recognizer/data/iam_extended_paragraphs.py
@@ -4,7 +4,6 @@ from typing import Dict, List
import attr
from torch.utils.data import ConcatDataset
-from text_recognizer.data.base_dataset import BaseDataset
from text_recognizer.data.base_data_module import BaseDataModule, load_and_print_info
from text_recognizer.data.iam_paragraphs import IAMParagraphs
from text_recognizer.data.iam_synthetic_paragraphs import IAMSyntheticParagraphs
@@ -20,6 +19,7 @@ class IAMExtendedParagraphs(BaseDataModule):
def __attrs_post_init__(self) -> None:
self.iam_paragraphs = IAMParagraphs(
+ mapping=self.mapping,
batch_size=self.batch_size,
num_workers=self.num_workers,
train_fraction=self.train_fraction,
@@ -27,6 +27,7 @@ class IAMExtendedParagraphs(BaseDataModule):
word_pieces=self.word_pieces,
)
self.iam_synthetic_paragraphs = IAMSyntheticParagraphs(
+ mapping=self.mapping,
batch_size=self.batch_size,
num_workers=self.num_workers,
train_fraction=self.train_fraction,
@@ -36,7 +37,6 @@ class IAMExtendedParagraphs(BaseDataModule):
self.dims = self.iam_paragraphs.dims
self.output_dims = self.iam_paragraphs.output_dims
- self.num_classes = self.iam_paragraphs.num_classes
def prepare_data(self) -> None:
"""Prepares the paragraphs data."""
@@ -58,7 +58,7 @@ class IAMExtendedParagraphs(BaseDataModule):
"""Returns info about the dataset."""
basic = (
"IAM Original and Synthetic Paragraphs Dataset\n" # pylint: disable=no-member
- f"Num classes: {len(self.num_classes)}\n"
+ f"Num classes: {len(self.mapping)}\n"
f"Dims: {self.dims}\n"
f"Output dims: {self.output_dims}\n"
)