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* refine seal pipeline docs

* fixed docs bug

* refine ocr pipeline docs
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docs/version3.x/pipeline_usage/OCR.en.md
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@ -1365,7 +1365,7 @@ The Python script above performs the following steps:
If the general OCR pipeline meets your requirements for inference speed and accuracy, you can proceed directly with development integration/deployment.
If you need to apply the general OCR pipeline directly in your Python project, you can refer to the sample code in [2.2 Python Script Integration](#22-python-script-intergration).
If you need to apply the general OCR pipeline directly in your Python project, you can refer to the sample code in [2.2 Python Script Integration](#22-python-script-integration).
Additionally, PaddleOCR provides two other deployment methods, detailed as follows:

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docs/version3.x/pipeline_usage/OCR.md
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@ -1439,7 +1439,7 @@ for res in result:
如果通用 OCR 产线可以达到您对产线推理速度和精度的要求，您可以直接进行开发集成/部署。
若您需要将通用 OCR 产线直接应用在您的Python项目中，可以参考[2.2 Python脚本方式](#22-python脚本方式)中的示例代码。
若您需要将通用 OCR 产线直接应用在您的Python项目中，可以参考[2.2 Python脚本方式集成](#22-python脚本方式集成)中的示例代码。
此外，PaddleOCR 也提供了其他两种部署方式，详细说明如下：