修改readme

CMakeLists.txt

@@ -17,7 +17,7 @@ set(INCLUDE_PATH    ${CMAKE_CURRENT_SOURCE_DIR}/Src/
 include_directories(${INCLUDE_PATH})
 
 # 添加依赖库路径
-set(LIBRARY_PATH ${CMAKE_CURRENT_SOURCE_DIR}/depend/lib64/
+set(LIBRARY_PATH ${CMAKE_CURRENT_SOURCE_DIR}/depend/lib/
                 $ENV{DTKROOT}/lib/)
 link_directories(${LIBRARY_PATH})
 

README.md

@@ -25,13 +25,13 @@ CRNN是文本识别领域的一种经典算法，该算法的主要思想是认
 拉取镜像：
 
 ```plaintext
-docker pull image.sourcefind.cn:5000/dcu/admin/base/migraphx:4.0.0-centos7.6-dtk23.04.1-py38-latest
+docker pull image.sourcefind.cn:5000/dcu/admin/base/migraphx:4.3.0-ubuntu20.04-dtk24.04.1-py3.10
 ```
 
 创建并启动容器，安装相关依赖：
 
 ```plaintext
-docker run --shm-size 16g --network=host --name=crnn_migraphx --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $PWD/crnn_migraphx:/home/crnn_migraphx -it <Your Image ID> /bin/bash
+docker run --shm-size 16g --network=host --name=crnn_migraphx --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $PWD/crnn_migraphx:/home/crnn_migraphx -v /opt/hyhal:/opt/hyhal:ro -it <Your Image ID> /bin/bash
 
 # 激活dtk
 source /opt/dtk/env.sh
@@ -43,7 +43,7 @@ source /opt/dtk/env.sh
 cd ./docker
 docker build --no-cache -t crnn_migraphx:2.0 .
 
-docker run --shm-size 16g --network=host --name=crnn_migraphx --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $PWD/crnn_migraphx:/home/crnn_migraphx -it <Your Image ID> /bin/bash
+docker run --shm-size 16g --network=host --name=crnn_migraphx --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $PWD/crnn_migraphx:/home/crnn_migraphx -v /opt/hyhal:/opt/hyhal:ro -it <Your Image ID> /bin/bash
 
 # 激活dtk
 source /opt/dtk/env.sh
@@ -67,6 +67,16 @@ export PYTHONPATH=/opt/dtk/lib:$PYTHONPATH
 
 #### 运行示例
 
+注意：当使用操作系统不一样时，CMakeList需要作相应的修改：
+
+```
+# ubuntu操作系统
+${CMAKE_CURRENT_SOURCE_DIR}/depend/lib64/ 修改为 ${CMAKE_CURRENT_SOURCE_DIR}/depend/lib/
+
+# centos操作系统
+${CMAKE_CURRENT_SOURCE_DIR}/depend/lib/ 修改为 ${CMAKE_CURRENT_SOURCE_DIR}/depend/lib64/
+```
+
 CRNN工程的Python推理示例仅提供静态推理，可使用如下命令运行：
 
 ```