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add the overview of module and pipeline (#15444)
* add the overview of module and pipeline * update * add en docs * add the doc of python and cpp inference
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docs/version3.x/deployment/python_and_cpp_infer.md
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docs/version3.x/deployment/python_and_cpp_infer.md
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# 基于Python或C++预测引擎推理
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自 2.x 分支以来,基于 Python 或 C++ 的预测引擎推理一直是一项重要功能。该功能允许用户在无需安装 wheel 包的情况下加载OCR相关模型并进行推理。有关具体使用方法,请参考以下文档:
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* [基于Python预测引擎推理](../../version2.x/legacy/python_infer.md)
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* [基于C++预测引擎推理](../../version2.x/legacy/cpp_infer.md)
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* [支持的模型列表](../../version2.x/legacy/model_list_2.x.md)
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docs/version3.x/module_usage/module_overview.en.md
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# Module Overview
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A module is the smallest unit that implements basic functionality. Modules typically use a single model to accomplish specific tasks, such as text detection, image classification, and other basic functions. As fundamental building blocks, modules provide the necessary functional support for more complex application scenarios. This design approach allows users to flexibly select and combine different modules according to their needs, thereby simplifying the development process and enhancing development flexibility and efficiency.
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docs/version3.x/module_usage/module_overview.md
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# 模块概述
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模块是实现基本功能的最小单位。模块通常使用单个模型去完成特定的任务,比如文本检测、图像分类等基本功能。模块作为基础构建单元,为更复杂的应用场景提供了必要的功能支持。这种设计方式使得用户可以根据需要灵活选择和组合不同的模块,从而简化了开发流程,并提高了开发的灵活性和效率。
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docs/version3.x/pipeline_usage/pipeline_overview.en.md
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docs/version3.x/pipeline_usage/pipeline_overview.en.md
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# Pipeline Overview
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A pipeline is a practical functional implementation composed of one or more modules. Through reasonable module combination and configuration, pipelines can meet the needs of complex application scenarios, such as technological applications like Optical Character Recognition (OCR). Pipelines not only demonstrate the integrated application of basic modules but also support capabilities such as high-performance inference and service-oriented deployment, providing users with higher development efficiency and broader application possibilities.
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docs/version3.x/pipeline_usage/pipeline_overview.md
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docs/version3.x/pipeline_usage/pipeline_overview.md
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# 产线概述
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产线是由一个或多个模块组合而成的实际功能实现。通过合理的模块组合与配置,产线能够满足复杂应用场景的需求,比如光学字符识别(OCR)等技术应用。产线不仅体现了基础模块的整合应用,还支持高性能推理和服务化部署等能力,赋予用户更高的开发效率和更广泛的应用可能性。
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社区贡献: Community Contribution
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附录: Appendix
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配置 PaddleOCR 推理包日志系统: Configure the logging system for the PaddleOCR inference package
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模块概述: Module Overview
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产线概述: Pipeline Overview
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基于Python或C++预测引擎推理: Python and CPP Inference
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# - locale: ja
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# name: 日本語
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# site_name: PaddleOCR ドキュメント
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- 获取onnx模型: version3.x/deployment/obtaining_onnx_models.md
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- 端侧部署: version3.x/deployment/on_device_deployment.md
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- 服务化部署: version3.x/deployment/serving.md
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- 基于Python或C++预测引擎推理: version3.x/deployment/python_and_cpp_infer.md
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- 模块列表:
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- 模块概述: version3.x/module_usage/module_overview.md
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- 文档图像方向分类模块: version3.x/module_usage/doc_img_orientation_classification.md
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- 文档类视觉语言模型模块: version3.x/module_usage/doc_vlm.md
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- 公式识别模块: version3.x/module_usage/formula_recognition.md
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- 文本行方向分类模块: version3.x/module_usage/text_line_orientation_classification.md
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- 文本识别模块: version3.x/module_usage/text_recognition.md
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- 产线列表:
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- 产线概述: version3.x/pipeline_usage/pipeline_overview.md
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- 公式识别产线: version3.x/pipeline_usage/formula_recognition.md
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- 文档图像预处理产线: version3.x/pipeline_usage/doc_preprocessor.md
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- 文档理解产线: version3.x/pipeline_usage/doc_understanding.md
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