makefile如何调用静态库的方法实现

makefile如何调用静态库

1、在windows下 g++环境中，调用一个python的静态链接库，在makefile文件有一段是全局的g++命令：

$(PROG): $(OBJS)
 $(CXX) $(LFLAGS) $^ -o $@

现在我要链接上一个python的静态库，lib存储在makefile同目录下libs文件夹下：

$(PROG): $(OBJS)
 $(CXX) $(LFLAGS) $^ -o $@ ./libs/libpython37.a

2、在Linux Ubuntu 18.04版本中添加静态库，视python版本而定：

$(PROG): $(OBJS)
 $(CXX) $(LFLAGS) $^ -o $@ -lpython3.6m

Makefile 如何调用opencv 的静态库

main.cpp

#include <stdio.h>
#include "opencv2/opencv.hpp"

int main()
{

  cv::Mat image = cv::imread("./testPic/jianhui.jpg");

  //cv::imshow("xxx", image);

  //cv::waitKey(40);

  printf("image.col=%d image.row=%d \n", image.cols, image.rows);

  cv::imwrite("aa.jpg", image);

  return 0;
}

Makefile

EXE=main

#SUBDIR=src object
#CXXFLAGS:编译选项, LDFLAGS:链接选项
thirdparty_root := /local_install/static
CC := g++

#export PKG_CONFIG_PATH := ${thirdparty_root}/lib/pkgconfig:${PKG_CONFIG_PATH}
#INCS += `pkg-config --cflags opencv`
#LIBS += `pkg-config --libs opencv`

INCS := -I${thirdparty_root}/include

LIBS += -L${thirdparty_root}/lib -lopencv_imgcodecs -lopencv_dnn -lopencv_imgproc -lopencv_core
#LIBS += -L${thirdparty_root}/lib -lopencv_imgcodecs -lopencv_imgproc -lopencv_core # 亲们，顺序不能变，因为这个快把我整崩溃了
LIBS += -L${thirdparty_root}/share/OpenCV/3rdparty/lib -lIlmImf -llibjasper -llibjpeg -llibpng -llibtiff -llibwebp -lzlib -lippicv -ldl

CXXFLAGS := -Wall -c -O2 -std=c++11 $(INCS)
LDFLAGS := $(LIBS)
LDFLAGS += -lpthread
#LDFLAGS += -Wl,-rpath,${thirdparty_root}/share/OpenCV/3rdparty/lib:${thirdparty_root}/lib: # 动态库的时候需要寻找的路径

#CXX_SOURCES =$(foreach dir,$(SUBDIR), $(wildcard $(dir)/*.cpp))
#CXX_OBJECTS=$(patsubst %.cpp, %.o, $(CXX_SOURCES))

CXX_OBJECTS := $(patsubst %.cpp,%.o,$(shell find . -name "*.cpp"))
DEP_FILES =$(patsubst %.o, %.d, $(CXX_OBJECTS))

$(EXE): $(CXX_OBJECTS)
 $(CC) $(CXX_OBJECTS) -o $(EXE) $(LDFLAGS)

%.o: %.cpp
 $(CC) -c $(CXXFLAGS) -MMD $< -o $@

-include $(DEP_FILES)

clean:
 rm -rf $(CXX_OBJECTS) $(DEP_FILES) $(EXE)

test:
 echo $(CXX_OBJECTS)

上面的Makefile 是用调用动态库的方式来调用静态库，如果同时存在静态库和动态库，会优先调用动态库

EXE=CppWebServer

#SUBDIR=src object
#CXXFLAGS:编译选项, LDFLAGS:链接选项
CC := g++
thirdparty_root := /local_install/static

#INCS += `pkg-config --cflags opencv`
INCS += -I/usr/lib/jdk1.8.0_191/include
INCS += -I/usr/lib/jdk1.8.0_191/include/linux/

INCS += -I./include

INCS := -I${thirdparty_root}/include

# 这种方式调用静态库，保证在在动态库也存在的时候也能调用到静态库
LIBS += ${thirdparty_root}/lib/libopencv_imgcodecs.a
LIBS += ${thirdparty_root}/lib/libopencv_dnn.a
LIBS += ${thirdparty_root}/lib/libopencv_imgproc.a
LIBS += ${thirdparty_root}/lib/libopencv_core.a
LIBS += ${thirdparty_root}/share/OpenCV/3rdparty/lib/libIlmImf.a
LIBS += ${thirdparty_root}/share/OpenCV/3rdparty/lib/liblibjasper.a
LIBS += ${thirdparty_root}/share/OpenCV/3rdparty/lib/liblibjasper.a
LIBS += ${thirdparty_root}/share/OpenCV/3rdparty/lib/liblibjpeg.a
LIBS += ${thirdparty_root}/share/OpenCV/3rdparty/lib/liblibpng.a
LIBS += ${thirdparty_root}/share/OpenCV/3rdparty/lib/liblibtiff.a
LIBS += ${thirdparty_root}/share/OpenCV/3rdparty/lib/liblibwebp.a
LIBS += ${thirdparty_root}/share/OpenCV/3rdparty/lib/libzlib.a
LIBS += ${thirdparty_root}/share/OpenCV/3rdparty/lib/libippicv.a

LIBS += -L./lib -lTHFaceImage -lTHFeature
LIBS += -ldl
#LIBS += `pkg-config --libs opencv`

CXXFLAGS := -Wall -c -O2 -std=c++11 $(INCS)
LDFLAGS := $(LIBS)
LDFLAGS += -lpthread

#CXXFLAGS += -I/usr/local/include/
#LDFLAGS += -L/usr/local/lib -lopencv_world

#CXX_SOURCES =$(foreach dir,$(SUBDIR), $(wildcard $(dir)/*.cpp))
#CXX_OBJECTS=$(patsubst %.cpp, %.o, $(CXX_SOURCES))

CXX_OBJECTS := $(patsubst %.cpp,%.o,$(shell find . -name "*.cpp"))
CXX_OBJECTS += $(patsubst %.c,%.o,$(shell find . -name "*.c"))

DEP_FILES =$(patsubst %.o, %.d, $(CXX_OBJECTS))

$(EXE): $(CXX_OBJECTS)
 $(CC) $(CXX_OBJECTS) -o $(EXE) $(LDFLAGS)

%.o: %.cpp
 $(CC) -c $(CXXFLAGS) -MMD $< -o $@

-include $(DEP_FILES)

clean:
 rm -rf $(CXX_OBJECTS) $(DEP_FILES) $(EXE) 

OBJ_DIR = obj
move:
 if [ ! -d $(OBJ_DIR) ]; then mkdir -p $(OBJ_DIR); fi;\
 mv $(CXX_OBJECTS) $(OBJ_DIR); \
 mv $(DEP_FILES) $(OBJ_DIR); \
 mv $(EXE) $(OBJ_DIR)

test:
 echo $(CXX_OBJECTS)

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