🐳update Dockfile

Dockerfile

@@ -0,0 +1,30 @@
+FROM mister5ive/ai.deploy.box:1.1.0
+MAINTAINER "Hulk Wang"
+
+LABEL description="AIDeployBox:A toolbox for deep learning model deployment using C++."
+
+ARG AiDB_HOME=/aidb
+ARG LINUX_LIBS=linux.zip
+ARG MODEL=models-lite.zip
+
+ARG LIBS_URL=https://github.com/TalkUHulk/ai.deploy.box/releases/download/1.1.0/$LINUX_LIBS
+ARG MODEL_LITE_URL=https://github.com/TalkUHulk/ai.deploy.box/releases/download/1.1.0/$MODEL
+
+ADD . $AiDB_HOME/
+
+RUN curl -LJO $LIBS_URL \
+    && curl -LJO $MODEL_LITE_URL \
+    && unzip $LINUX_LIBS -d $AiDB_HOME/libs/ \
+    && rm -f $LINUX_LIBS \
+    && unzip $MODEL -d $AiDB_HOME/ \
+    && rm -f $MODEL \
+    && mv $AiDB_HOME/models-lite $AiDB_HOME/models \
+    && mkdir $AiDB_HOME/build \
+    && cd $AiDB_HOME/build \
+    && cmake -DENGINE_MNN=ON -DENGINE_ORT=ON -DENGINE_NCNN=ON -DENGINE_TNN=ON -DENGINE_OPV=ON -DENGINE_PPLite=ON -DBUILD_SAMPLE=ON ../ \
+    && make --jobs=$(nproc --all)
+
+ENV LD_LIBRARY_PATH $AiDB_HOME/libs/linux/x86_64:$AiDB_HOME/libs/linux/x86_64/tnn:$AiDB_HOME/libs:$AiDB_HOME/libs/linux/x86_64/openvino:$AiDB_HOME/libs/linux/x86_64/paddlelite:$LD_LIBRARY_PATH
+
+WORKDIR $AiDB_HOME/
+

README.md

@@ -146,6 +146,16 @@ docker pull mister5ive/ai.deploy.box
 
 ### Build
 
+#### Docker(recommend)
+
+```asm
+git lfs clone https://github.com/TalkUHulk/ai.deploy.box.git
+cd ai.deploy.box.git
+docker build -t aidb-dev .
+docker run -it --name aidb-test aidb-dev
+```
+
+#### From Source code
 
 ```asm
 git lfs clone https://github.com/TalkUHulk/ai.deploy.box.git

README_cn.md

@@ -134,15 +134,23 @@
 
 <details>
 <summary>推荐使用docker</summary>
-
 ```java
 docker pull mister5ive/ai.deploy.box
 ```
 </details>
 
-
 ### Build
 
+#### Docker(推荐)
+
+```asm
+git lfs clone https://github.com/TalkUHulk/ai.deploy.box.git
+cd ai.deploy.box.git
+docker build -t aidb-dev .
+docker run -it --name aidb-test aidb-dev
+```
+
+#### 源码编译
 
 ```asm
 git clone https://github.com/TalkUHulk/ai.deploy.box.git
@@ -674,7 +682,6 @@ A: 使用带fp16标签的库
 
 Q: kernel for 'conv2d' is not supported by Paddle-lite.
 A: 转模型--valid_targets =arm, 打开fp16，opt\lib版本对应
-
 5. Android OpenVINO
 
 Q: How to deploy models in android with openvino([reference](https://github.com/openvinotoolkit/openvino/issues/15006)).