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PaddleOCR服务部署-并通过Java进行调用_java调用paddleocr_fueen的博客-CSDN博客

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By HttpServlet Request req, destFile.getParent File .mkdirs
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上一篇讲了PaddleOCR的简单使用，但是最终的目的肯定是要将它进行服务部署方便我们调用的，这里介绍一下他的服务部署方式 官方推荐有以下几种： Python 推理 C++ 推理 Serving 服务化部署（Python/C++） Paddle-Lite 端侧部署（ARM CPU/OpenCL ARM GPU） Paddle.js 部署 由于我本身是做Java开发，不会Python，所以采用Serving 服务化部署 PaddleOCR提供2种服务部署方式： 基于PaddleHub Serving的部署； 基于PaddleServing的部署 我选择的是通过PaddleHub Serving进行部署 准备环境 pip install paddlehub -i https://mirror.baidu.com/pypi/simple 安装好之后查看一下 下载推理模型 PaddleOCR下新建‘inference’文件夹，准备推理模型并放到‘inference’文件夹里面，默认使用的是v1.1版的超轻量模型...
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