From 85372e9dd47441b9eb5822bb37113e51bc9fa72d Mon Sep 17 00:00:00 2001
From: aktersnurra <grydholm@kth.se>
Date: Sun, 15 Nov 2020 13:48:30 +0100
Subject: Added support files for lines datasets.

---
 .../support/create_emnist_lines_support_files.py   | 38 ++++++++++++++++++++++
 .../tests/support/create_emnist_support_files.py   |  6 ++--
 .../support/create_iam_lines_support_files.py      | 38 ++++++++++++++++++++++
 3 files changed, 78 insertions(+), 4 deletions(-)
 create mode 100644 src/text_recognizer/tests/support/create_emnist_lines_support_files.py
 create mode 100644 src/text_recognizer/tests/support/create_iam_lines_support_files.py

diff --git a/src/text_recognizer/tests/support/create_emnist_lines_support_files.py b/src/text_recognizer/tests/support/create_emnist_lines_support_files.py
new file mode 100644
index 0000000..b200ff5
--- /dev/null
+++ b/src/text_recognizer/tests/support/create_emnist_lines_support_files.py
@@ -0,0 +1,38 @@
+"""Module for creating EMNIST Lines test support files."""
+from pathlib import Path
+import shutil
+
+from text_recognizer.datasets import EmnistLinesDataset
+import text_recognizer.util as util
+
+
+SUPPORT_DIRNAME = Path(__file__).parents[0].resolve() / "emnist_lines"
+
+
+def create_emnist_lines_support_files() -> None:
+    shutil.rmtree(SUPPORT_DIRNAME, ignore_errors=True)
+    SUPPORT_DIRNAME.mkdir()
+
+    # TODO: maybe have to add args to dataset.
+    dataset = EmnistLinesDataset()
+    dataset.load_or_generate_data()
+
+    for index in [0, 1, 3]:
+        image, target = dataset[index]
+        print(image.sum(), image.dtype)
+
+        label = (
+            "".join(
+                dataset.mapper[label]
+                for label in np.argmax(target[1:], dim=-1).flatten()
+            )
+            .stip()
+            .strip(self.mapper.pad_token)
+        )
+
+        print(label)
+        util.write_image(image, str(SUPPORT_DIRNAME / f"{label}.png"))
+
+
+if __name__ == "__main__":
+    create_emnist_lines_support_files()
diff --git a/src/text_recognizer/tests/support/create_emnist_support_files.py b/src/text_recognizer/tests/support/create_emnist_support_files.py
index c04860d..f9ff030 100644
--- a/src/text_recognizer/tests/support/create_emnist_support_files.py
+++ b/src/text_recognizer/tests/support/create_emnist_support_files.py
@@ -2,8 +2,7 @@
 from pathlib import Path
 import shutil
 
-from text_recognizer.datasets.emnist_dataset import EmnistDataset
-from text_recognizer.datasets.util import EmnistMapper
+from text_recognizer.datasets import EmnistDataset
 from text_recognizer.util import write_image
 
 SUPPORT_DIRNAME = Path(__file__).parents[0].resolve() / "emnist"
@@ -16,14 +15,13 @@ def create_emnist_support_files() -> None:
 
     dataset = EmnistDataset(train=False)
     dataset.load_or_generate_data()
-    mapping = EmnistMapper()
 
     for index in [5, 7, 9]:
         image, label = dataset[index]
         if len(image.shape) == 3:
             image = image.squeeze(0)
         image = image.numpy()
-        label = mapping(int(label))
+        label = dataset.mapper(int(label))
         print(index, label)
         write_image(image, str(SUPPORT_DIRNAME / f"{label}.png"))
 
diff --git a/src/text_recognizer/tests/support/create_iam_lines_support_files.py b/src/text_recognizer/tests/support/create_iam_lines_support_files.py
new file mode 100644
index 0000000..15d0e4e
--- /dev/null
+++ b/src/text_recognizer/tests/support/create_iam_lines_support_files.py
@@ -0,0 +1,38 @@
+"""Module for creating IAM Lines test support files."""
+from pathlib import Path
+import shutil
+
+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:
+    shutil.rmtree(SUPPORT_DIRNAME, ignore_errors=True)
+    SUPPORT_DIRNAME.mkdir()
+
+    # TODO: maybe have to add args to dataset.
+    dataset = IamLinesDataset()
+    dataset.load_or_generate_data()
+
+    for index in [0, 1, 3]:
+        image, target = dataset[index]
+        print(image.sum(), image.dtype)
+
+        label = (
+            "".join(
+                dataset.mapper[label]
+                for label in np.argmax(target[1:], dim=-1).flatten()
+            )
+            .stip()
+            .strip(self.mapper.pad_token)
+        )
+
+        print(label)
+        util.write_image(image, str(SUPPORT_DIRNAME / f"{label}.png"))
+
+
+if __name__ == "__main__":
+    create_emnist_lines_support_files()
-- 
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