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+from paddlex import create_pipeline
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+import time
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+from pathlib import Path
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+
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+input_path = "./sample_data/300674-母公司现金流量表-扫描.png"
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+
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+pipeline_path = "./OCR-zhch.yaml"
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+pipeline_name = "GeneralOCR"
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+output_path = Path(f"./sample_data/single_pipeline_output/{pipeline_name}/")
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+
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+pipeline = create_pipeline(pipeline=pipeline_path)
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+
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+# For Image
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+output = pipeline.predict(
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+ input=input_path,
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+ # device="gpu", # 或者 "gpu" 如果你有 GPU 支持
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+ use_doc_orientation_classify=False, # 开启文档方向分类
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+ use_doc_unwarping=False, # 开启文档去畸变
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+)
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+
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+# 可视化结果并保存 json 结果
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+for res in output:
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+ res.print()
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+ # res.save_to_json(save_path="sample_data/output")
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+ # res.save_to_markdown(save_path="sample_data/output")
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+ output_path.mkdir(parents=True, exist_ok=True)
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+ res.save_all(save_path=output_path.as_posix()) # 保存所有结果到指定路径
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