makefile如何调用静态库的方法实现
时间:2021-04-30 10:11:50|栏目:C代码|点击: 次
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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本文标题:makefile如何调用静态库的方法实现
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