inference: add linux building

inference/CMakeLists.txt

@@ -36,7 +36,7 @@ if (NOT DEFINED OPENCV_DIR OR ${OPENCV_DIR} STREQUAL "")
 endif()
 
 include_directories("${CMAKE_SOURCE_DIR}/")
-include_directories("${CMAKE_CURRENT_BINARY_DIR}/ext/yaml-cpp/src/yaml-cpp/include")
+include_directories("${CMAKE_CURRENT_BINARY_DIR}/ext/yaml-cpp/src/ext-yaml-cpp/include")
 include_directories("${PADDLE_DIR}/")
 include_directories("${PADDLE_DIR}/third_party/install/protobuf/include")
 include_directories("${PADDLE_DIR}/third_party/install/glog/include")
@@ -82,7 +82,7 @@ if (WIN32)
         add_definitions(-DSTATIC_LIB)
     endif()
 else()
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++14")
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -o2 -std=c++11")
     set(CMAKE_STATIC_LIBRARY_PREFIX "")
 endif()
 
@@ -160,14 +160,13 @@ if (NOT WIN32)
     set(EXTERNAL_LIB "-lrt -ldl -lpthread")
     set(DEPS ${DEPS}
         ${MATH_LIB} ${MKLDNN_LIB}
-        glog gflags protobuf snappystream snappy z xxhash
+        glog gflags protobuf yaml-cpp snappystream snappy z xxhash
         ${EXTERNAL_LIB})
 else()
     set(DEPS ${DEPS}
         ${MATH_LIB} ${MKLDNN_LIB}
         opencv_world346 glog libyaml-cppmt gflags_static libprotobuf snappy zlibstatic xxhash snappystream ${EXTERNAL_LIB})
     set(DEPS ${DEPS} libcmt shlwapi)
-	set(DEPS ${DEPS}  ${YAML_CPP_LIBRARY})
 endif(NOT WIN32)
 
 if(WITH_GPU)
@@ -206,13 +205,17 @@ ADD_LIBRARY(libpaddleseg_inference STATIC ${PADDLESEG_INFERENCE_SRCS})
 target_link_libraries(libpaddleseg_inference ${DEPS})
 
 add_executable(demo demo.cpp)
-ADD_DEPENDENCIES(libpaddleseg_inference yaml-cpp)
-ADD_DEPENDENCIES(demo yaml-cpp libpaddleseg_inference)
+ADD_DEPENDENCIES(libpaddleseg_inference ext-yaml-cpp)
+ADD_DEPENDENCIES(demo ext-yaml-cpp libpaddleseg_inference)
 target_link_libraries(demo ${DEPS} libpaddleseg_inference)
 
-
-add_custom_command(TARGET demo POST_BUILD
+if (WIN32)
+    add_custom_command(TARGET demo POST_BUILD
         COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mklml/lib/mklml.dll ./mklml.dll
         COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mklml/lib/libiomp5md.dll ./libiomp5md.dll
-        COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mkldnn/bin/mkldnn.dll ./mkldnn.dll
+        COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mkldnn/lib/mkldnn.dll ./mkldnn.dll
+        COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mklml/lib/mklml.dll ./release/mklml.dll
+        COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mklml/lib/libiomp5md.dll ./release/libiomp5md.dll
+        COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mkldnn/lib/mkldnn.dll ./mkldnn.dll
     )
+endif()

inference/conf/humanseg.yaml

 DEPLOY:
     USE_GPU: 1
-    MODEL_PATH: "C:\\PaddleDeploy\\models\\deeplabv3p_xception65_humanseg"
+    MODEL_PATH: "/root/projects/models/deeplabv3p_xception65_humanseg"
     MODEL_NAME: "unet"
     MODEL_FILENAME: "__model__"
     PARAMS_FILENAME: "__params__"
@@ -11,5 +11,5 @@ DEPLOY:
     NUM_CLASSES: 2
     CHANNELS : 3
     PRE_PROCESSOR: "SegPreProcessor"
-    PREDICTOR_MODE: "ANALYSIS"
+    PREDICTOR_MODE: "NATIVE"
     BATCH_SIZE : 3

inference/demo.cpp

@@ -21,7 +21,6 @@ int main(int argc, char** argv) {
 
     // 2. get all the images with extension '.jpeg' at input_dir
     auto imgs = PaddleSolution::utils::get_directory_images(FLAGS_input_dir, ".jpeg|.jpg");
-
     // 3. predict
     predictor.predict(imgs);
     return 0;

inference/external-cmake/yaml-cpp.cmake

@@ -6,7 +6,7 @@ include(ExternalProject)
 message("${CMAKE_BUILD_TYPE}")
 
 ExternalProject_Add(
-        yaml-cpp
+        ext-yaml-cpp
         GIT_REPOSITORY https://github.com/jbeder/yaml-cpp.git
         GIT_TAG e0e01d53c27ffee6c86153fa41e7f5e57d3e5c90
         CMAKE_ARGS

inference/utils/seg_conf_parser.h

@@ -79,8 +79,6 @@ namespace PaddleSolution {
             _img_type = config["DEPLOY"]["IMAGE_TYPE"].as<std::string>();
             // 5. get class number
             _class_num = config["DEPLOY"]["NUM_CLASSES"].as<int>();
-            // 6. get model_name
-            _model_name = config["DEPLOY"]["MODEL_NAME"].as<std::string>();
             // 7. set model path
             _model_path = config["DEPLOY"]["MODEL_PATH"].as<std::string>();
             // 8. get model file_name
@@ -129,7 +127,6 @@ namespace PaddleSolution {
             std::cout << "DEPLOY.NUM_CLASSES: " << _class_num << std::endl;
             std::cout << "DEPLOY.CHANNELS: " << _channels << std::endl;
             std::cout << "DEPLOY.MODEL_PATH: " << _model_path << std::endl;
-            std::cout << "DEPLOY.MODEL_NAME: " << _model_name << std::endl;
             std::cout << "DEPLOY.MODEL_FILENAME: " << _model_file_name << std::endl;
             std::cout << "DEPLOY.PARAMS_FILENAME: " << _param_file_name << std::endl;
             std::cout << "DEPLOY.PRE_PROCESSOR: " << _pre_processor << std::endl;
@@ -152,8 +149,6 @@ namespace PaddleSolution {
         int _channels;
         // DEPLOY.MODEL_PATH
         std::string _model_path;
-        // DEPLOY.MODEL_NAME
-        std::string _model_name;
         // DEPLOY.MODEL_FILENAME
         std::string _model_file_name;
         // DEPLOY.PARAMS_FILENAME

inference/utils/utils.h

@@ -3,7 +3,13 @@
 #include <iostream>
 #include <vector>
 #include <string>
+
+#ifdef _WIN32
 #include <filesystem>
+#else
+#include <dirent.h>
+#include <sys/types.h>
+#endif
 
 namespace PaddleSolution {
     namespace utils {
@@ -14,7 +20,33 @@ namespace PaddleSolution {
             #endif
             return dir + seperator + path;
         }
+        #ifndef _WIN32
+        // scan a directory and get all files with input extensions
+        inline std::vector<std::string> get_directory_images(const std::string& path, const std::string& exts)
+        {
+            std::vector<std::string> imgs;
+            struct dirent *entry;
+            DIR *dir = opendir(path.c_str());
+            if (dir == NULL) {
+                closedir(dir);
+                return imgs;
+            }
 
+            while ((entry = readdir(dir)) != NULL) {
+                printf("%s\n", entry->d_name);
+                std::string item = entry->d_name;
+                auto ext = strrchr(entry->d_name, '.');
+                if (!ext || std::string(ext) == "." || std::string(ext) == "..") {
+                    continue;
+                }
+                printf("%s\n", entry->d_name);
+                if (exts.find(ext) != std::string::npos) {
+                    imgs.push_back(path_join(path, entry->d_name));
+                }
+            }
+            return imgs;
+        }
+        #else
         // scan a directory and get all files with input extensions
         inline std::vector<std::string> get_directory_images(const std::string& path, const std::string& exts)
         {
@@ -28,5 +60,6 @@ namespace PaddleSolution {
             }
             return imgs;
         }
+        #endif
     }
 }