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"""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]
)
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