完善工程

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

@@ -39,22 +39,12 @@ pip install -r requirements.txt
 
 ### 运行示例
 
-在Python目录下执行如下命令运行该示例程序：
+执行如下示例，输出分类结果。
 
 ```python
 python Classifier.py
 ```
 
-输出结果中，每个值分别对应每个label的输出值。
-
-```
-[-2.07137913e-02  2.25237548e-01 -1.98313940e+00 -2.97359991e+00
- -1.61100197e+00  4.24269080e-01 -9.02939081e-01  1.21229446e+00
- ...
- -2.69769251e-01 -4.28011447e-01  1.25102985e+00  9.06333506e-01
- -1.08657002e-01  3.15954179e-01  1.94901276e+00 -5.70572793e-01]
-```
-
 ## C++版本推理
 
 下面介绍如何运行C++代码示例，C++示例的详细说明见Doc目录下的Tutorial_Cpp.md。
@@ -74,11 +64,6 @@ cd <path_to_resnet50_migraphx>
 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/"
-
 
 ### 安装OpenCV并构建工程
 
@@ -90,18 +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_resnet50_migraphx>/depend/lib64/:$LD_LIBRARY_PATH
 ```
 
-**Ubuntu**:
-
-```
-export LD_LIBRARY_PATH=<path_to_resnet50_migraphx>/depend/lib/:$LD_LIBRARY_PATH
-```
-
 然后执行:
 
 ```
@@ -115,29 +92,12 @@ source ~/.bashrc
 cd <path_to_resnet50_migraphx> 
 
 # 进入build目录
-cd ./build/
+cd build/
 
 # 执行示例程序
 ./ResNet50
 ```
 
-输出结果中，每个值分别对应每个label的输出值。
-
-```
-label:0,confidence:-0.020714
-label:1,confidence:0.225238
-label:2,confidence:-1.983140
-label:3,confidence:-2.973601
-label:4,confidence:-1.611002
-label:5,confidence:0.424268
-...
-label:995,confidence:0.906333
-label:996,confidence:-0.108658
-label:997,confidence:0.315955
-label:998,confidence:1.949013
-label:999,confidence:-0.570573
-```
-
 ## 源码仓库及问题反馈
 
 https://developer.hpccube.com/codes/modelzoo/resnet50_migraphx