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[Doc] Update Yolov5 Serving README.md (#432)

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* Update README.md

* Update README.md

* Update README.md
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huangjianhui
2022-10-25 22:00:30 +08:00
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examples/vision/detection/yolov5/serving/README.md
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@@ -3,11 +3,15 @@
## 启动服务 ## 启动服务
```bash ```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 #下载yolov5模型文件
wget https://bj.bcebos.com/paddlehub/fastdeploy/yolov5s.onnx 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 # 将模型放入 models/runtime/1目录下, 并重命名为model.onnx
mv yolov5s.onnx models/infer/1/ mv yolov5s.onnx models/runtime/1/model.onnx
# 拉取fastdeploy镜像 # 拉取fastdeploy镜像
docker pull paddlepaddle/fastdeploy:0.3.0-gpu-cuda11.4-trt8.4-21.10 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) # 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 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: 服务启动成功后， 会有以下输出:
``` ```