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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>
29 lines
635 B
Python
29 lines
635 B
Python
import pytest
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from paddleocr import TextRecognition
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from ..testing_utils import TEST_DATA_DIR, check_simple_inference_result
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@pytest.fixture(scope="module")
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def text_recognition_predictor():
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return TextRecognition()
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@pytest.mark.parametrize(
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"image_path",
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[
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TEST_DATA_DIR / "textline.png",
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],
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)
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def test_predict(text_recognition_predictor, image_path):
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result = text_recognition_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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"rec_text",
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"rec_score",
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}
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