mirror of
https://github.com/PaddlePaddle/PaddleOCR.git
synced 2025-06-03 21:53:39 +08:00
* Init new paddleocr * Remove unused dependency * Fix typos * Fix * Add doc understanding modules * Fix package finding * Normalize name * Fix setting bugs * Fix setting bug * Support single model inference * Add PP-ChatOCRv4-doc * Add pp_chatocrv4_doc tests * Enable MKL-DNN when available * add seal_text_detection modules * add layout_detection and table_cells_detection modules * add testing scripts * Fix desc * add text_image_unwarping and table_structure_recognition modules * add formula_recognition and doc_vlm modules * update formula_recognition default_model_name * add MKLDNN_BLOCKLIST * update MKLDNN log * add seal rec pipeline * fix sth * fix sth * add doc preprocessor pipeline * fix sth * add doc understanding * add table_rec_v2, ppstructurev3, formula_rec pipelines * move test files * forward kwargs to pipeline.predict * clean test files * Add missing kwargs * Fix typo * Fix typo * rerun CI * update mkldnn BLOCKLIST * update * update warning message * fix cli args * update PIPELINE_MKLDNN_BLOCKLIST * update of workflow * skip resource_intensive tests * update config * skip ppdocbee test_predict_params --------- Co-authored-by: zhangyue66 <zhangyue66@baidu.com> Co-authored-by: zhangzelun <zhangzelun@baidu.com>
58 lines
1.3 KiB
Python
58 lines
1.3 KiB
Python
import pytest
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from paddleocr import DocPreprocessor
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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 ocr_engine() -> DocPreprocessor:
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return DocPreprocessor()
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@pytest.mark.parametrize(
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"image_path",
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[
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TEST_DATA_DIR / "book_rot180.jpg",
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],
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)
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def test_predict(ocr_engine: DocPreprocessor, image_path: str) -> None:
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"""
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Test PaddleOCR's doc preprocessor functionality.
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Args:
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ocr_engine: An instance of `DocPreprocessor`.
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image_path: Path to the image to be processed.
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"""
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result = ocr_engine.predict(str(image_path))
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check_simple_inference_result(result)
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res = result[0]
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assert res["angle"] in {0, 90, 180, 270, -1}
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assert res["rot_img"] is not None
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assert res["output_img"] is not None
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@pytest.mark.parametrize(
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"params",
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[
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{"use_doc_orientation_classify": False},
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{"use_doc_unwarping": False},
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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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ocr_engine: DocPreprocessor,
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params: dict,
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) -> None:
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check_wrapper_simple_inference_param_forwarding(
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monkeypatch,
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ocr_engine,
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"paddlex_pipeline",
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"dummy_path",
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params,
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)
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