提交 223858f3 编写于 作者: B bjjwwang

remove java doc for non-pipelne mode

上级 9a62079a
...@@ -27,38 +27,6 @@ mvn compile ...@@ -27,38 +27,6 @@ mvn compile
mvn install mvn install
``` ```
### Start the server(not pipeline)
Take the fit_a_line model as an example, the server starts
```
cd ../../python/examples/fit_a_line
sh get_data.sh
python -m paddle_serving_server.serve --model uci_housing_model --thread 10 --port 9393 --use_multilang &
```
Client prediction
```
cd ../../../java/examples/target
java -cp paddle-serving-sdk-java-examples-0.0.1-jar-with-dependencies.jar PaddleServingClientExample fit_a_line
```
Take yolov4 as an example, the server starts
```
python -m paddle_serving_app.package --get_model yolov4
tar -xzvf yolov4.tar.gz
python -m paddle_serving_server_gpu.serve --model yolov4_model --port 9393 --gpu_ids 0 --use_multilang & #It needs to be executed in GPU Docker, otherwise the execution method of CPU must be used.
```
Client prediction
```
# in /Serving/java/examples/target
java -cp paddle-serving-sdk-java-examples-0.0.1-jar-with-dependencies.jar PaddleServingClientExample yolov4 ../../../python/examples/yolov4/000000570688.jpg
# The case of yolov4 needs to specify a picture as input
```
### Start the server(pipeline) ### Start the server(pipeline)
as for input data type = string,take IMDB model ensemble as an example,the server starts as for input data type = string,take IMDB model ensemble as an example,the server starts
......
...@@ -27,40 +27,6 @@ mvn compile ...@@ -27,40 +27,6 @@ mvn compile
mvn install mvn install
``` ```
### 启动服务端(非pipeline方式)
以fit_a_line模型为例,服务端启动
```
cd ../../python/examples/fit_a_line
sh get_data.sh
python -m paddle_serving_server.serve --model uci_housing_model --thread 10 --port 9393 --use_multilang &
```
客户端预测
```
cd ../../../java/examples/target
java -cp paddle-serving-sdk-java-examples-0.0.1-jar-with-dependencies.jar PaddleServingClientExample fit_a_line
```
以yolov4为例子,服务端启动
```
python -m paddle_serving_app.package --get_model yolov4
tar -xzvf yolov4.tar.gz
python -m paddle_serving_server_gpu.serve --model yolov4_model --port 9393 --gpu_ids 0 --use_multilang & #需要在GPU Docker当中执行,否则要使用CPU的执行方式。
```
客户端预测
```
# in /Serving/java/examples/target
java -cp paddle-serving-sdk-java-examples-0.0.1-jar-with-dependencies.jar PaddleServingClientExample yolov4 ../../../python/examples/yolov4/000000570688.jpg
# yolov4的案例需要指定一个图片作为输入
```
### 启动服务端(Pipeline方式) ### 启动服务端(Pipeline方式)
对于input data type = string类型,以IMDB model ensemble模型为例,服务端启动 对于input data type = string类型,以IMDB model ensemble模型为例,服务端启动
......
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