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- import pytest
- from paddleocr import TextLineOrientationClassification
- from ..testing_utils import TEST_DATA_DIR, check_simple_inference_result
- from .image_classification_common import check_result_item_keys
- @pytest.fixture(scope="module")
- def textline_orientation_classification_predictor():
- return TextLineOrientationClassification()
- @pytest.mark.parametrize(
- "image_path",
- [
- TEST_DATA_DIR / "textline_rot180.jpg",
- ],
- )
- def test_predict(textline_orientation_classification_predictor, image_path):
- result = textline_orientation_classification_predictor.predict(str(image_path))
- check_simple_inference_result(result)
- check_result_item_keys(result[0])
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