From 1f6f2f6bfddc16b985211d0da68cb9929a47e05f Mon Sep 17 00:00:00 2001
From: huangjianhui <852142024@qq.com>
Date: Tue, 25 Oct 2022 22:00:30 +0800
Subject: [PATCH] [Doc] Update Yolov5 Serving README.md (#432)

* Update README.md

* Update README.md

* Update README.md
---
 examples/vision/detection/yolov5/serving/README.md | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/examples/vision/detection/yolov5/serving/README.md b/examples/vision/detection/yolov5/serving/README.md
index 2826f6a9e0..521f9c4196 100644
--- a/examples/vision/detection/yolov5/serving/README.md
+++ b/examples/vision/detection/yolov5/serving/README.md
@@ -3,11 +3,15 @@
 ## 启动服务
 
 ```bash
+#下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd FastDeploy/examples/vision/detection/yolov5/serving/
+
 #下载yolov5模型文件
 wget https://bj.bcebos.com/paddlehub/fastdeploy/yolov5s.onnx
 
-# 将模型放入 models/infer/1目录下, 并重命名为model.onnx
-mv yolov5s.onnx models/infer/1/
+# 将模型放入 models/runtime/1目录下, 并重命名为model.onnx
+mv yolov5s.onnx models/runtime/1/model.onnx
 
 # 拉取fastdeploy镜像
 docker pull paddlepaddle/fastdeploy:0.3.0-gpu-cuda11.4-trt8.4-21.10
@@ -18,6 +22,7 @@ nvidia-docker run -it --net=host --name fd_serving -v `pwd`/:/yolov5_serving pad
 # 启动服务(不设置CUDA_VISIBLE_DEVICES环境变量，会拥有所有GPU卡的调度权限)
 CUDA_VISIBLE_DEVICES=0 fastdeployserver --model-repository=models --backend-config=python,shm-default-byte-size=10485760
 ```
+>> **注意**: 当出现"Address already in use", 请使用`--grpc-port`指定端口号来启动服务，同时更改yolov5_grpc_client.py中的请求端口号
 
 服务启动成功后， 会有以下输出:
 ```