56 lines
1.1 KiB
Python
56 lines
1.1 KiB
Python
import pytest
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from paddleocr import TextDetection
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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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@pytest.fixture(scope="module")
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def text_detection_predictor():
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return TextDetection()
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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(text_detection_predictor, image_path):
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result = text_detection_predictor.predict(str(image_path))
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check_simple_inference_result(result)
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assert result[0].keys() == {
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"input_path",
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"page_index",
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"input_img",
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"dt_polys",
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"dt_scores",
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}
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@pytest.mark.parametrize(
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"params",
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[
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{"limit_side_len": 640, "limit_type": "min"},
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{"thresh": 0.5},
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{"box_thresh": 0.3},
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{"unclip_ratio": 3.0},
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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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text_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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text_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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