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-rw-r--r--tests/test_paragraph_text_recognizer.py37
1 files changed, 0 insertions, 37 deletions
diff --git a/tests/test_paragraph_text_recognizer.py b/tests/test_paragraph_text_recognizer.py
deleted file mode 100644
index 3e280b9..0000000
--- a/tests/test_paragraph_text_recognizer.py
+++ /dev/null
@@ -1,37 +0,0 @@
-"""Test for ParagraphTextRecognizer class."""
-import os
-from pathlib import Path
-import unittest
-
-from text_recognizer.paragraph_text_recognizer import ParagraphTextRecognizor
-import text_recognizer.util as util
-
-
-SUPPORT_DIRNAME = Path(__file__).parents[0].resolve() / "support" / "iam_paragraph"
-
-# Prevent using GPU.
-os.environ["CUDA_VISIBLE_DEVICES"] = ""
-
-
-class TestParagraphTextRecognizor(unittest.TestCase):
- """Test that it can take non-square images of max dimension larger than 256px."""
-
- def test_filename(self) -> None:
- """Test model on support image."""
- line_predictor_args = {
- "dataset": "EmnistLineDataset",
- "network_fn": "CNNTransformer",
- }
- line_detector_args = {"dataset": "EmnistLineDataset", "network_fn": "UNet"}
- model = ParagraphTextRecognizor(
- line_predictor_args=line_predictor_args,
- line_detector_args=line_detector_args,
- )
- num_text_lines_by_name = {"a01-000u-cropped": 7}
- for filename in (SUPPORT_DIRNAME).glob("*.jpg"):
- full_image = util.read_image(str(filename), grayscale=True)
- predicted_text, line_region_crops = model.predict(full_image)
- print(predicted_text)
- self.assertTrue(
- len(line_region_crops), num_text_lines_by_name[filename.stem]
- )