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Diffstat (limited to 'text_recognizer/tests/test_paragraph_text_recognizer.py')
-rw-r--r-- | text_recognizer/tests/test_paragraph_text_recognizer.py | 37 |
1 files changed, 0 insertions, 37 deletions
diff --git a/text_recognizer/tests/test_paragraph_text_recognizer.py b/text_recognizer/tests/test_paragraph_text_recognizer.py deleted file mode 100644 index 3e280b9..0000000 --- a/text_recognizer/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] - ) |