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<img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/paddleocr/PP-OCRv5/algorithm_ppocrv5_demo1.png" width="600"/>
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</div>
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<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex%2FPaddleX3.0%2Fdoc_images%2FPP-OCRv5%2Falgorithm_ppocrv5_demo.pdf">More Demos</a>
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<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/PaddleX3.0/doc_images/PP-OCRv5/algorithm_ppocrv5_demo.pdf">More Demos</a>
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# Deployment and Secondary Development
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* **Multiple System Support**: Compatible with mainstream operating systems including Windows, Linux, and Mac.
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* **Multiple Hardware Support**: Besides NVIDIA GPUs, it also supports inference and deployment on Intel CPU, Kunlun chips, Ascend, and other new hardware.
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* **High-Performance Inference Plugin**: Recommended to combine with high-performance inference plugins to further improve inference speed. See [High-Performance Inference Guide](../../deployment/high_performance_inference.md) for details.
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* **Service Deployment**: Supports highly stable service deployment solutions. See [Service Deployment Guide](../../deployment/serving.md) for details.
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* **Secondary Development Capability**: Supports custom dataset training, dictionary extension, and model fine-tuning. Example: To add Korean recognition, you can extend the dictionary and fine-tune the model, seamlessly integrating into existing production lines. See [Text Recognition Module Usage Tutorial](../../module_usage/text_recognition.md) for details.
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* **Secondary Development Capability**: Supports custom dataset training, dictionary extension, and model fine-tuning. Example: To add Korean recognition, you can extend the dictionary and fine-tune the model, seamlessly integrating into existing production lines. See [Text Detection Module Usage Tutorial](../../module_usage/text_detection.en.md) and [Text Recognition Module Usage Tutorial](../../module_usage/text_recognition.en.md) for details.
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<img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/paddleocr/PP-OCRv5/algorithm_ppocrv5_demo1.png" width="600"/>
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</div>
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<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex%2FPaddleX3.0%2Fdoc_images%2FPP-OCRv5%2Falgorithm_ppocrv5_demo.pdf">更多示例</a>
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<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/PaddleX3.0/doc_images/PP-OCRv5/algorithm_ppocrv5_demo.pdf">更多示例</a>
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# 四、部署与二次开发
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* **多系统支持**:兼容Windows、Linux、Mac等主流操作系统。
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* **多硬件支持**:除了英伟达GPU外,还支持Intel CPU、昆仑芯、昇腾等新硬件推理和部署。
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* **高性能推理插件**:推荐结合高性能推理插件进一步提升推理速度,详见[高性能推理指南](../../deployment/high_performance_inference.md)。
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* **服务化部署**:支持高稳定性服务化部署方案,详见[服务化部署指南](../../deployment/serving.md)。
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* **二次开发能力**:支持自定义数据集训练、字典扩展、模型微调。举例:如需增加韩文识别,可扩展字典并微调模型,无缝集成到现有产线,详见[文本识别模块使用教程](../../module_usage/text_recognition.md)
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* **二次开发能力**:支持自定义数据集训练、字典扩展、模型微调。举例:如需增加韩文识别,可扩展字典并微调模型,无缝集成到现有产线,详见[文本检测模块使用教程](../../module_usage/text_detection.md)及[文本识别模块使用教程](../../module_usage/text_recognition.md)
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