AutoPercenty3/test/paddle2onnx/PaddleOCR/deploy/fastdeploy/serving/simple_serving

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PaddleOCR Python轻量服务化部署示例

PaddleOCR Python轻量服务化部署是FastDeploy基于Flask框架搭建的可快速验证线上模型部署可行性的服务化部署示例，基于http请求完成AI推理任务，适用于无并发推理的简单场景，如有高并发，高吞吐场景的需求请参考fastdeploy_serving

1. 部署环境准备

在部署前，需确认软硬件环境，同时下载预编译python wheel 包，参考文档FastDeploy预编译库安装

2. 启动服务

# 下载部署示例代码
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd  FastDeploy/examples/vision/ocr/PP-OCR/serving/simple_serving

# 如果您希望从PaddleOCR下载示例代码，请运行
git clone https://github.com/PaddlePaddle/PaddleOCR.git
# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
git checkout dygraph
cd PaddleOCR/deploy/fastdeploy/serving/simple_serving

# 下载模型和字典文件
wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar
tar xvf ch_PP-OCRv3_det_infer.tar

wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar
tar -xvf ch_ppocr_mobile_v2.0_cls_infer.tar

wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar
tar xvf ch_PP-OCRv3_rec_infer.tar

wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/ppocr/utils/ppocr_keys_v1.txt

# 启动服务，可修改server.py中的配置项来指定硬件、后端等
# 可通过--host、--port指定IP和端口号
fastdeploy simple_serving --app server:app

3. 客户端请求

# 下载部署示例代码
git clone https://github.com/PaddlePaddle/PaddleOCR.git
cd PaddleOCR/deploy/fastdeploy/serving/simple_serving

# 下载测试图片
wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/doc/imgs/12.jpg

# 请求服务，获取推理结果（如有必要，请修改脚本中的IP和端口号）
python client.py