add cpp inference for windows

deploy/cpp_infer/CMakeLists.txt

 project(ocr_system CXX C)
-option(WITH_MKL        "Compile demo with MKL/OpenBlas support, default use MKL."       ON)
+
+option(WITH_MKL        "Compile demo with MKL/OpenBlas support, default use MKL."       OFF)
 option(WITH_GPU        "Compile demo with GPU/CPU, default use CPU."                    OFF)
 option(WITH_STATIC_LIB "Compile demo with static/shared library, default use static."   ON)
-option(USE_TENSORRT "Compile demo with TensorRT."   OFF)
+
+SET(PADDLE_LIB "" CACHE PATH "Location of libraries")
+SET(OPENCV_DIR "" CACHE PATH "Location of libraries")
+SET(CUDA_LIB "" CACHE PATH "Location of libraries")
+SET(CUDNN_LIB "" CACHE PATH "Location of libraries")
+SET(TENSORRT_DIR "" CACHE PATH "Compile demo with TensorRT")
+
+set(DEMO_NAME "ocr_system")
 
 
 macro(safe_set_static_flag)
@@ -15,24 +23,60 @@ macro(safe_set_static_flag)
     endforeach(flag_var)
 endmacro()
 
-set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -g -fpermissive")
-set(CMAKE_STATIC_LIBRARY_PREFIX "")
-message("flags" ${CMAKE_CXX_FLAGS})
-set(CMAKE_CXX_FLAGS_RELEASE "-O3")
+if (WITH_MKL)
+    ADD_DEFINITIONS(-DUSE_MKL)
+endif()
 
 if(NOT DEFINED PADDLE_LIB)
   message(FATAL_ERROR "please set PADDLE_LIB with -DPADDLE_LIB=/path/paddle/lib")
 endif()
-if(NOT DEFINED DEMO_NAME)
-  message(FATAL_ERROR "please set DEMO_NAME with -DDEMO_NAME=demo_name")
+
+if(NOT DEFINED OPENCV_DIR)
+    message(FATAL_ERROR "please set OPENCV_DIR with -DOPENCV_DIR=/path/opencv")
 endif()
 
 
-set(OPENCV_DIR ${OPENCV_DIR})
-find_package(OpenCV REQUIRED PATHS ${OPENCV_DIR}/share/OpenCV NO_DEFAULT_PATH)
+if (WIN32)
+  include_directories("${PADDLE_LIB}/paddle/fluid/inference")
+  include_directories("${PADDLE_LIB}/paddle/include")
+  link_directories("${PADDLE_LIB}/paddle/fluid/inference")
+  find_package(OpenCV REQUIRED PATHS ${OPENCV_DIR}/build/ NO_DEFAULT_PATH)
+
+else ()
+  find_package(OpenCV REQUIRED PATHS ${OPENCV_DIR}/share/OpenCV NO_DEFAULT_PATH)
+  include_directories("${PADDLE_LIB}/paddle/include")
+  link_directories("${PADDLE_LIB}/paddle/lib")
+endif ()
 include_directories(${OpenCV_INCLUDE_DIRS})
 
-include_directories("${PADDLE_LIB}/paddle/include")
+if (WIN32)
+    add_definitions("/DGOOGLE_GLOG_DLL_DECL=")
+    set(CMAKE_C_FLAGS_DEBUG   "${CMAKE_C_FLAGS_DEBUG} /bigobj /MTd")
+    set(CMAKE_C_FLAGS_RELEASE  "${CMAKE_C_FLAGS_RELEASE} /bigobj /MT")
+    set(CMAKE_CXX_FLAGS_DEBUG  "${CMAKE_CXX_FLAGS_DEBUG} /bigobj /MTd")
+    set(CMAKE_CXX_FLAGS_RELEASE   "${CMAKE_CXX_FLAGS_RELEASE} /bigobj /MT")
+    if (WITH_STATIC_LIB)
+        safe_set_static_flag()
+        add_definitions(-DSTATIC_LIB)
+    endif()
+else()
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -g -o3 -std=c++11")
+    set(CMAKE_STATIC_LIBRARY_PREFIX "")
+endif()
+message("flags" ${CMAKE_CXX_FLAGS})
+
+
+if (WITH_GPU)
+    if (NOT DEFINED CUDA_LIB OR ${CUDA_LIB} STREQUAL "")
+        message(FATAL_ERROR "please set CUDA_LIB with -DCUDA_LIB=/path/cuda-8.0/lib64")
+    endif()
+    if (NOT WIN32)
+        if (NOT DEFINED CUDNN_LIB)
+            message(FATAL_ERROR "please set CUDNN_LIB with -DCUDNN_LIB=/path/cudnn_v7.4/cuda/lib64")
+        endif()
+    endif(NOT WIN32)
+endif()
+
 include_directories("${PADDLE_LIB}/third_party/install/protobuf/include")
 include_directories("${PADDLE_LIB}/third_party/install/glog/include")
 include_directories("${PADDLE_LIB}/third_party/install/gflags/include")
@@ -43,10 +87,12 @@ include_directories("${PADDLE_LIB}/third_party/eigen3")
 
 include_directories("${CMAKE_SOURCE_DIR}/")
 
-if (USE_TENSORRT AND WITH_GPU)
-      include_directories("${TENSORRT_ROOT}/include")
-      link_directories("${TENSORRT_ROOT}/lib")
-endif()
+if (NOT WIN32)
+  if (WITH_TENSORRT AND WITH_GPU)
+     include_directories("${TENSORRT_DIR}/include")
+     link_directories("${TENSORRT_DIR}/lib")
+  endif()
+endif(NOT WIN32)
 
 link_directories("${PADDLE_LIB}/third_party/install/zlib/lib")
 
@@ -57,17 +103,24 @@ link_directories("${PADDLE_LIB}/third_party/install/xxhash/lib")
 link_directories("${PADDLE_LIB}/paddle/lib")
 
 
-AUX_SOURCE_DIRECTORY(./src SRCS)
-add_executable(${DEMO_NAME} ${SRCS})
-
 if(WITH_MKL)
   include_directories("${PADDLE_LIB}/third_party/install/mklml/include")
-  set(MATH_LIB ${PADDLE_LIB}/third_party/install/mklml/lib/libmklml_intel${CMAKE_SHARED_LIBRARY_SUFFIX}
-               ${PADDLE_LIB}/third_party/install/mklml/lib/libiomp5${CMAKE_SHARED_LIBRARY_SUFFIX})
+  if (WIN32)
+    set(MATH_LIB ${PADDLE_LIB}/third_party/install/mklml/lib/mklml.lib
+            ${PADDLE_LIB}/third_party/install/mklml/lib/libiomp5md.lib)
+  else ()
+    set(MATH_LIB ${PADDLE_LIB}/third_party/install/mklml/lib/libmklml_intel${CMAKE_SHARED_LIBRARY_SUFFIX}
+            ${PADDLE_LIB}/third_party/install/mklml/lib/libiomp5${CMAKE_SHARED_LIBRARY_SUFFIX})
+    execute_process(COMMAND cp -r ${PADDLE_LIB}/third_party/install/mklml/lib/libmklml_intel${CMAKE_SHARED_LIBRARY_SUFFIX} /usr/lib)
+  endif ()
   set(MKLDNN_PATH "${PADDLE_LIB}/third_party/install/mkldnn")
   if(EXISTS ${MKLDNN_PATH})
     include_directories("${MKLDNN_PATH}/include")
-    set(MKLDNN_LIB ${MKLDNN_PATH}/lib/libmkldnn.so.0)
+    if (WIN32)
+      set(MKLDNN_LIB ${MKLDNN_PATH}/lib/mkldnn.lib)
+    else ()
+      set(MKLDNN_LIB ${MKLDNN_PATH}/lib/libmkldnn.so.0)
+    endif ()
   endif()
 else()
   set(MATH_LIB ${PADDLE_LIB}/third_party/install/openblas/lib/libopenblas${CMAKE_STATIC_LIBRARY_SUFFIX})
@@ -82,24 +135,66 @@ else()
       ${PADDLE_LIB}/paddle/lib/libpaddle_fluid${CMAKE_SHARED_LIBRARY_SUFFIX})
 endif()
 
-set(EXTERNAL_LIB "-lrt -ldl -lpthread -lm")
+if (NOT WIN32)
+    set(DEPS ${DEPS}
+        ${MATH_LIB} ${MKLDNN_LIB} 
+        glog gflags protobuf z xxhash
+        )
+    if(EXISTS "${PADDLE_LIB}/third_party/install/snappystream/lib")
+        set(DEPS ${DEPS} snappystream)
+    endif()
+    if (EXISTS "${PADDLE_LIB}/third_party/install/snappy/lib")
+        set(DEPS ${DEPS} snappy)
+    endif()
+else()
+    set(DEPS ${DEPS}
+        ${MATH_LIB} ${MKLDNN_LIB}
+        glog gflags_static libprotobuf xxhash)
+    set(DEPS ${DEPS} libcmt shlwapi)
+    if (EXISTS "${PADDLE_LIB}/third_party/install/snappy/lib")
+        set(DEPS ${DEPS} snappy)
+    endif()
+    if(EXISTS "${PADDLE_LIB}/third_party/install/snappystream/lib")
+        set(DEPS ${DEPS} snappystream)
+    endif()
+endif(NOT WIN32)
 
-set(DEPS ${DEPS}
-    ${MATH_LIB} ${MKLDNN_LIB}
-    glog gflags protobuf z xxhash
-    ${EXTERNAL_LIB} ${OpenCV_LIBS})
 
 if(WITH_GPU)
-  if (USE_TENSORRT)
-    set(DEPS ${DEPS}
-        ${TENSORRT_ROOT}/lib/libnvinfer${CMAKE_SHARED_LIBRARY_SUFFIX})
-    set(DEPS ${DEPS}
-        ${TENSORRT_ROOT}/lib/libnvinfer_plugin${CMAKE_SHARED_LIBRARY_SUFFIX})
+  if(NOT WIN32)
+    if (WITH_TENSORRT)
+      set(DEPS ${DEPS} ${TENSORRT_DIR}/lib/libnvinfer${CMAKE_SHARED_LIBRARY_SUFFIX})
+      set(DEPS ${DEPS} ${TENSORRT_DIR}/lib/libnvinfer_plugin${CMAKE_SHARED_LIBRARY_SUFFIX})
+    endif()
+    set(DEPS ${DEPS} ${CUDA_LIB}/libcudart${CMAKE_SHARED_LIBRARY_SUFFIX})
+    set(DEPS ${DEPS} ${CUDNN_LIB}/libcudnn${CMAKE_SHARED_LIBRARY_SUFFIX})
+  else()
+    set(DEPS ${DEPS} ${CUDA_LIB}/cudart${CMAKE_STATIC_LIBRARY_SUFFIX} )
+    set(DEPS ${DEPS} ${CUDA_LIB}/cublas${CMAKE_STATIC_LIBRARY_SUFFIX} )
+    set(DEPS ${DEPS} ${CUDNN_LIB}/cudnn${CMAKE_STATIC_LIBRARY_SUFFIX})
   endif()
-  set(DEPS ${DEPS} ${CUDA_LIB}/libcudart${CMAKE_SHARED_LIBRARY_SUFFIX})
-  set(DEPS ${DEPS} ${CUDA_LIB}/libcudart${CMAKE_SHARED_LIBRARY_SUFFIX} )
-  set(DEPS ${DEPS} ${CUDA_LIB}/libcublas${CMAKE_SHARED_LIBRARY_SUFFIX} )
-  set(DEPS ${DEPS} ${CUDNN_LIB}/libcudnn${CMAKE_SHARED_LIBRARY_SUFFIX} )
 endif()
 
+
+if (NOT WIN32)
+    set(EXTERNAL_LIB "-ldl -lrt -lgomp -lz -lm -lpthread")
+    set(DEPS ${DEPS} ${EXTERNAL_LIB})
+endif()
+
+set(DEPS ${DEPS} ${OpenCV_LIBS})
+
+AUX_SOURCE_DIRECTORY(./src SRCS)
+add_executable(${DEMO_NAME} ${SRCS})
+
 target_link_libraries(${DEMO_NAME} ${DEPS})
+
+if (WIN32 AND WITH_MKL)
+    add_custom_command(TARGET ${DEMO_NAME} POST_BUILD
+        COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_LIB}/third_party/install/mklml/lib/mklml.dll ./mklml.dll
+        COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_LIB}/third_party/install/mklml/lib/libiomp5md.dll ./libiomp5md.dll
+        COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_LIB}/third_party/install/mkldnn/lib/mkldnn.dll ./mkldnn.dll
+        COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_LIB}/third_party/install/mklml/lib/mklml.dll ./release/mklml.dll
+        COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_LIB}/third_party/install/mklml/lib/libiomp5md.dll ./release/libiomp5md.dll
+        COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_LIB}/third_party/install/mkldnn/lib/mkldnn.dll ./release/mkldnn.dll
+    )
+endif()
\ No newline at end of file

deploy/cpp_infer/docs/windows_vs2019_build.md

+# Visual Studio 2019 Community CMake 编译指南
+
+PaddleOCR在Windows 平台下基于`Visual Studio 2019 Community` 进行了测试。微软从`Visual Studio 2017`开始即支持直接管理`CMake`跨平台编译项目，但是直到`2019`才提供了稳定和完全的支持，所以如果你想使用CMake管理项目编译构建，我们推荐你使用`Visual Studio 2019`环境下构建。
+
+
+## 前置条件
+* Visual Studio 2019
+* CUDA 9.0 / CUDA 10.0，cudnn 7+ （仅在使用GPU版本的预测库时需要）
+* CMake 3.0+
+
+请确保系统已经安装好上述基本软件，我们使用的是`VS2019`的社区版。
+
+**下面所有示例以工作目录为 `D:\projects`演示**。
+
+### Step1: 下载PaddlePaddle C++ 预测库 fluid_inference
+
+PaddlePaddle C++ 预测库针对不同的`CPU`和`CUDA`版本提供了不同的预编译版本，请根据实际情况下载:  [C++预测库下载列表](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/advanced_guide/inference_deployment/inference/windows_cpp_inference.html)
+
+解压后`D:\projects\fluid_inference`目录包含内容为：
+```
+fluid_inference
+├── paddle # paddle核心库和头文件
+|
+├── third_party # 第三方依赖库和头文件
+|
+└── version.txt # 版本和编译信息
+```
+
+### Step2: 安装配置OpenCV
+
+1. 在OpenCV官网下载适用于Windows平台的3.4.6版本， [下载地址](https://sourceforge.net/projects/opencvlibrary/files/3.4.6/opencv-3.4.6-vc14_vc15.exe/download)  
+2. 运行下载的可执行文件，将OpenCV解压至指定目录，如`D:\projects\opencv`
+3. 配置环境变量，如下流程所示  
+    - 我的电脑->属性->高级系统设置->环境变量
+    - 在系统变量中找到Path（如没有，自行创建），并双击编辑
+    - 新建，将opencv路径填入并保存，如`D:\projects\opencv\build\x64\vc14\bin`
+
+### Step3: 使用Visual Studio 2019直接编译CMake
+
+1. 打开Visual Studio 2019 Community，点击`继续但无需代码`
+![step2](https://paddleseg.bj.bcebos.com/inference/vs2019_step1.png)
+2. 点击： `文件`->`打开`->`CMake`
+![step2.1](https://paddleseg.bj.bcebos.com/inference/vs2019_step2.png)
+
+选择项目代码所在路径，并打开`CMakeList.txt`：
+
+![step2.2](https://paddleseg.bj.bcebos.com/inference/vs2019_step3.png)
+
+3. 点击：`项目`->`cpp_inference_demo的CMake设置`
+
+![step3](https://paddleseg.bj.bcebos.com/inference/vs2019_step4.png)
+
+4. 点击`浏览`，分别设置编译选项指定`CUDA`、`CUDNN_LIB`、`OpenCV`、`Paddle预测库`的路径
+
+三个编译参数的含义说明如下（带`*`表示仅在使用**GPU版本**预测库时指定, 其中CUDA库版本尽量对齐，**使用9.0、10.0版本，不使用9.2、10.1等版本CUDA库**）：
+
+|  参数名   | 含义  |
+|  ----  | ----  |
+| *CUDA_LIB  | CUDA的库路径 |
+| *CUDNN_LIB | CUDNN的库路径 |
+| OPENCV_DIR  | OpenCV的安装路径 |
+| PADDLE_LIB | Paddle预测库的路径 |
+
+**注意：**
+  1. 使用`CPU`版预测库，请把`WITH_GPU`的勾去掉
+  2. 如果使用的是`openblas`版本，请把`WITH_MKL`勾去掉
+
+![step4](https://paddleseg.bj.bcebos.com/inference/vs2019_step5.png)
+
+**设置完成后**, 点击上图中`保存并生成CMake缓存以加载变量`。
+
+5. 点击`生成`->`全部生成`
+
+![step6](https://paddleseg.bj.bcebos.com/inference/vs2019_step6.png)
+
+
+### Step4: 预测及可视化
+
+上述`Visual Studio 2019`编译产出的可执行文件在`out\build\x64-Release`目录下，打开`cmd`，并切换到该目录：
+
+```
+cd D:\projects\PaddleOCR\deploy\cpp_infer\out\build\x64-Release
+```
+可执行文件`ocr_system.exe`即为样例的预测程序，其主要使用方法如下
+
+```shell
+#预测图片 `D:\projects\PaddleOCR\doc\imgs\10.jpg`  
+.\ocr_system.exe D:\projects\PaddleOCR\deploy\cpp_infer\tools\config.txt D:\projects\PaddleOCR\doc\imgs\10.jpg
+```
+
+第一个参数为配置文件路径，第二个参数为需要预测的图片路径。
+
+
+### 注意
+* 在Windows下的终端中执行文件exe时，可能会发生乱码的现象，此时需要在终端中输入`CHCP 65001`，将终端的编码方式由GBK编码(默认)改为UTF-8编码，更加具体的解释可以参考这篇博客：[https://blog.csdn.net/qq_35038153/article/details/78430359](https://blog.csdn.net/qq_35038153/article/details/78430359)。

deploy/cpp_infer/readme.md

@@ -7,6 +7,9 @@
 
 ### 运行准备
 - Linux环境，推荐使用docker。
+- Windows环境，目前支持基于`Visual Studio 2019 Community`进行编译。
+
+* 该文档主要介绍基于Linux环境的PaddleOCR C++预测流程，如果需要在Windows下基于预测库进行C++预测，具体编译方法请参考[Windows下编译教程](./docs/windows_vs2019_build.md)
 
 ### 1.1 编译opencv库
 

deploy/cpp_infer/src/config.cpp

@@ -44,7 +44,7 @@ Config::LoadConfig(const std::string &config_path) {
   std::map<std::string, std::string> dict;
   for (int i = 0; i < config.size(); i++) {
     // pass for empty line or comment
-    if (config[i].size() <= 1 or config[i][0] == '#') {
+    if (config[i].size() <= 1 || config[i][0] == '#') {
       continue;
     }
     std::vector<std::string> res = split(config[i], " ");

deploy/cpp_infer/src/utility.cpp

@@ -39,22 +39,28 @@ std::vector<std::string> Utility::ReadDict(const std::string &path) {
 void Utility::VisualizeBboxes(
     const cv::Mat &srcimg,
     const std::vector<std::vector<std::vector<int>>> &boxes) {
-  cv::Point rook_points[boxes.size()][4];
-  for (int n = 0; n < boxes.size(); n++) {
-    for (int m = 0; m < boxes[0].size(); m++) {
-      rook_points[n][m] = cv::Point(int(boxes[n][m][0]), int(boxes[n][m][1]));
-    }
-  }
+  //   cv::Point rook_points[boxes.size()][4];
+  //   for (int n = 0; n < boxes.size(); n++) {
+  //     for (int m = 0; m < boxes[0].size(); m++) {
+  //       rook_points[n][m] = cv::Point(int(boxes[n][m][0]),
+  //       int(boxes[n][m][1]));
+  //     }
+  //   }
   cv::Mat img_vis;
   srcimg.copyTo(img_vis);
   for (int n = 0; n < boxes.size(); n++) {
-    const cv::Point *ppt[1] = {rook_points[n]};
+    cv::Point rook_points[4];
+    for (int m = 0; m < boxes[n].size(); m++) {
+      rook_points[m] = cv::Point(int(boxes[n][m][0]), int(boxes[n][m][1]));
+    }
+
+    const cv::Point *ppt[1] = {rook_points};
     int npt[] = {4};
     cv::polylines(img_vis, ppt, npt, 1, 1, CV_RGB(0, 255, 0), 2, 8, 0);
   }
 
   cv::imwrite("./ocr_vis.png", img_vis);
-  std::cout << "The detection visualized image saved in ./ocr_vis.png.pn"
+  std::cout << "The detection visualized image saved in ./ocr_vis.png"
             << std::endl;
 }
 

deploy/cpp_infer/tools/build.sh

-
 OPENCV_DIR=your_opencv_dir
 LIB_DIR=your_paddle_inference_dir
 CUDA_LIB_DIR=your_cuda_lib_dir
-CUDNN_LIB_DIR=/your_cudnn_lib_dir
+CUDNN_LIB_DIR=your_cudnn_lib_dir
 
 BUILD_DIR=build
 rm -rf ${BUILD_DIR}
@@ -11,7 +10,6 @@ cd ${BUILD_DIR}
 cmake .. \
     -DPADDLE_LIB=${LIB_DIR} \
     -DWITH_MKL=ON \
-    -DDEMO_NAME=ocr_system \
     -DWITH_GPU=OFF \
     -DWITH_STATIC_LIB=OFF \
     -DUSE_TENSORRT=OFF \

deploy/cpp_infer/tools/config.txt

@@ -15,8 +15,7 @@ det_model_dir  ./inference/det_db
 # rec config
 rec_model_dir  ./inference/rec_crnn
 char_list_file ../../ppocr/utils/ppocr_keys_v1.txt
-img_path  ../../doc/imgs/11.jpg
 
 # show the detection results
-visualize 0
+visualize 1