Working on EMNIST Lines dataset

1 files changed, 50 insertions, 0 deletions

diff --git a/tests/support/create_iam_lines_support_files.py b/tests/support/create_iam_lines_support_files.py
new file mode 100644
index 0000000..50f9e3d
--- /dev/null
+++ b/tests/support/create_iam_lines_support_files.py
@@ -0,0 +1,50 @@
+"""Module for creating IAM Lines test support files."""
+# flake8: noqa
+from pathlib import Path
+import shutil
+
+import numpy as np
+
+from text_recognizer.datasets import IamLinesDataset
+import text_recognizer.util as util
+
+
+SUPPORT_DIRNAME = Path(__file__).parents[0].resolve() / "iam_lines"
+
+
+def create_emnist_lines_support_files() -> None:
+    """Create IAM Lines test images."""
+    shutil.rmtree(SUPPORT_DIRNAME, ignore_errors=True)
+    SUPPORT_DIRNAME.mkdir()
+
+    # TODO: maybe have to add args to dataset.
+    dataset = IamLinesDataset(
+        init_token="<sos>",
+        pad_token="_",
+        eos_token="<eos>",
+        transform=[{"type": "ToTensor", "args": {}}],
+        target_transform=[
+            {
+                "type": "AddTokens",
+                "args": {"init_token": "<sos>", "pad_token": "_", "eos_token": "<eos>"},
+            }
+        ],
+    )
+    dataset.load_or_generate_data()
+
+    for index in [0, 1, 3]:
+        image, target = dataset[index]
+        if len(image.shape) == 3:
+            image = image.squeeze(0)
+        print(image.sum(), image.dtype)
+
+        label = "".join(dataset.mapper(label) for label in target[1:]).strip(
+            dataset.mapper.pad_token
+        )
+        print(label)
+        image = image.numpy()
+        util.write_image(image, str(SUPPORT_DIRNAME / f"{label}.png"))
+
+
+if __name__ == "__main__":
+    create_emnist_lines_support_files()