49 lines
1.0 KiB
Python
49 lines
1.0 KiB
Python
import pytest
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from paddleocr import TableCellsDetection
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from ..testing_utils import (
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TEST_DATA_DIR,
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check_simple_inference_result,
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check_wrapper_simple_inference_param_forwarding,
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)
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from .object_detection_common import check_result_item_keys
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@pytest.fixture(scope="module")
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def table_cells_detection_predictor():
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return TableCellsDetection()
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@pytest.mark.parametrize(
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"image_path",
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[
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TEST_DATA_DIR / "table.jpg",
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],
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)
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def test_predict(table_cells_detection_predictor, image_path):
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result = table_cells_detection_predictor.predict(str(image_path))
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check_simple_inference_result(result)
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check_result_item_keys(result[0])
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@pytest.mark.parametrize(
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"params",
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[
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{"img_size": 640},
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{"threshold": 0.5},
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],
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)
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def test_predict_params(
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monkeypatch,
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table_cells_detection_predictor,
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params,
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):
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check_wrapper_simple_inference_param_forwarding(
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monkeypatch,
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table_cells_detection_predictor,
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"paddlex_predictor",
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"dummy_path",
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params,
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)
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