完善文档

CMakeLists.txt

@@ -26,10 +26,7 @@ set(LIBRARY opencv_core
             opencv_imgproc
             opencv_imgcodecs
             opencv_dnn
-            migraphx_ref
             migraphx
-            migraphx_c
-            migraphx_device
             migraphx_gpu
             migraphx_onnx)
 link_libraries(${LIBRARY})

README.md

@@ -64,22 +64,8 @@ a-----v--a-i-l-a-bb-l-e--- => available
 docker pull image.sourcefind.cn:5000/dcu/admin/base/custom:ort1.14.0_migraphx3.0.0-dtk22.10.1
 ```
 
-### 安装Opencv依赖
 
-```python
-cd <path_to_migraphx_samples>
-sh ./3rdParty/InstallOpenCVDependences.sh
-```
-
-### 修改CMakeLists.txt
-
-- 如果使用ubuntu系统，需要修改CMakeLists.txt中依赖库路径：
-  将"${CMAKE_CURRENT_SOURCE_DIR}/depend/lib64/"修改为"${CMAKE_CURRENT_SOURCE_DIR}/depend/lib/"
-
-- **MIGraphX2.3.0及以上版本需要c++17**
-
-
-### 安装OpenCV并构建工程
+### 构建工程
 
 ```
 rbuild build -d depend
@@ -89,18 +75,10 @@ rbuild build -d depend
 
 将依赖库依赖加入环境变量LD_LIBRARY_PATH，在~/.bashrc中添加如下语句：
 
-**Centos**:
-
 ```
 export LD_LIBRARY_PATH=<path_to_crnn_migraphx>/depend/lib64/:$LD_LIBRARY_PATH
 ```
 
-**Ubuntu**:
-
-```
-export LD_LIBRARY_PATH=<path_to_crnn_migraphx>/depend/lib/:$LD_LIBRARY_PATH
-```
-
 然后执行:
 
 ```
@@ -109,7 +87,15 @@ source ~/.bashrc
 
 ### 运行示例
 
-成功编译CRNN工程后，在build目录下输入如下命令运行该示例：
+成功编译CRNN工程后，执行如下命令运行该示例：
+
+```
+# 进入crnn migraphx工程根目录
+cd <path_to_crnn_migraphx> 
+
+# 进入build目录
+cd build/
+```
 
 1. 静态推理
 
@@ -133,7 +119,7 @@ a-----v--a-i-l-a-bb-l-e--- => available
 # 开启环境变量
 export MIGRAPHX_DYNAMIC_SHAPE=1
 
-# 执行动态推理
+# 执行动态推理示例程序
 ./CRNN 1
 ```