海思3559A上编译libyuv源码操作步骤

太过爱你忘了你带给我的痛 2021-12-01 11:56 502阅读 0赞

1. 下载libyuv源代码，执行：

git clone https://chromium.googlesource.com/libyuv/libyuv

2. 通过CMakeLists.txt编译生成库，build.sh脚本内容如下：

cmake \
    	-DCMAKE_BUILD_TYPE=RELEASE \
    	-DCMAKE_C_COMPILER=/opt/hisi-linux/x86-arm/aarch64-himix100-linux/bin/aarch64-himix100-linux-gcc \
    	-DCMAKE_CXX_COMPILER=/opt/hisi-linux/x86-arm/aarch64-himix100-linux/bin/aarch64-himix100-linux-g++ \
    	-DCMAKE_INSTALL_PREFIX=./install \
    	..

3. 在libyuv根目录下，依次执行如下命令，执行完后会将生成的文件和库存放在build/install目录下，如下图所示：

mkdir build
    cd build
    cp ../build.sh .
    ./builld.sh
    make -j8
    make install

![20190720121050557.png][]

4. 也可以通过\*.mk生成，拷贝原linux.mk为hi3559a.mk并修改hi3559a.mk内容，修改后的内容如下：

# This is a generic makefile for libyuv for gcc.
    # make -f linux.mk CXX=clang++
    
    CC=/opt/hisi-linux/x86-arm/aarch64-himix100-linux/bin/aarch64-himix100-linux-gcc
    CFLAGS?=-O2 -fomit-frame-pointer -fPIC -DLIBYUV_NEON
    CFLAGS+=-Iinclude/
    
    CXX=/opt/hisi-linux/x86-arm/aarch64-himix100-linux/bin/aarch64-himix100-linux-g++
    CXXFLAGS?=-O2 -fomit-frame-pointer -fPIC -DLIBYUV_NEON
    CXXFLAGS+=-Iinclude/
    
    LOCAL_OBJ_FILES := \
    	source/compare.o           \
    	source/compare_common.o    \
    	source/compare_gcc.o       \
    	source/compare_mmi.o       \
    	source/compare_msa.o       \
    	source/compare_neon64.o    \
    	source/compare_neon.o      \
    	source/compare_win.o       \
    	source/convert_argb.o      \
    	source/convert.o           \
    	source/convert_from_argb.o \
    	source/convert_from.o      \
    	source/convert_jpeg.o      \
    	source/convert_to_argb.o   \
    	source/convert_to_i420.o   \
    	source/cpu_id.o            \
    	source/mjpeg_decoder.o     \
    	source/mjpeg_validate.o    \
    	source/planar_functions.o  \
    	source/rotate_any.o        \
    	source/rotate_argb.o       \
    	source/rotate.o            \
    	source/rotate_common.o     \
    	source/rotate_gcc.o        \
    	source/rotate_mmi.o        \
    	source/rotate_msa.o        \
    	source/rotate_neon64.o     \
    	source/rotate_neon.o       \
    	source/rotate_win.o        \
    	source/row_any.o           \
    	source/row_common.o        \
    	source/row_gcc.o           \
    	source/row_mmi.o           \
    	source/row_msa.o           \
    	source/row_neon64.o        \
    	source/row_neon.o          \
    	source/row_win.o           \
    	source/scale_any.o         \
    	source/scale_argb.o        \
    	source/scale.o             \
    	source/scale_common.o      \
    	source/scale_gcc.o         \
    	source/scale_mmi.o         \
    	source/scale_msa.o         \
    	source/scale_neon64.o      \
    	source/scale_neon.o        \
    	source/scale_win.o         \
    	source/video_common.o
    
    .cc.o:
    	$(CXX) -c $(CXXFLAGS) $*.cc -o $*.o
    
    .c.o:
    	$(CC) -c $(CFLAGS) $*.c -o $*.o
    
    all: libyuv.a yuvconvert cpuid psnr
    
    libyuv.a: $(LOCAL_OBJ_FILES)
    	$(AR) $(ARFLAGS) $@ $(LOCAL_OBJ_FILES)
    
    # A C++ test utility that uses libyuv conversion.
    yuvconvert: util/yuvconvert.cc libyuv.a
    	$(CXX) $(CXXFLAGS) -Iutil/ -o $@ util/yuvconvert.cc libyuv.a
    
    # A standalone test utility
    psnr: util/psnr.cc
    	$(CXX) $(CXXFLAGS) -Iutil/ -o $@ util/psnr.cc util/psnr_main.cc util/ssim.cc
    
    # A C test utility that uses libyuv conversion from C.
    # gcc 4.4 and older require -fno-exceptions to avoid link error on __gxx_personality_v0
    # CC=gcc-4.4 CXXFLAGS=-fno-exceptions CXX=g++-4.4 make -f linux.mk
    cpuid: util/cpuid.c libyuv.a
    	$(CC) $(CFLAGS) -o $@ util/cpuid.c libyuv.a
    
    clean:
    	/bin/rm -f source/*.o *.ii *.s libyuv.a yuvconvert cpuid psnr

5. 执行以下命令后同样可以生成libyuv.a静态库：

make -f hi3559a.mk

注：如果需要在libyuv中调用mjpegtoyuv相关的接口还需要依赖libjpeg库，并且需要在脚本中定义HAVE\_JPEG。

**GitHub**：[https://github.com/fengbingchun/OpenCV\_Test][https_github.com_fengbingchun_OpenCV_Test]

[20190720121050557.png]: /images/20211201/6f0564c1b0f54aa1b6550be45f1856be.png
[https_github.com_fengbingchun_OpenCV_Test]: https://github.com/fengbingchun/OpenCV_Test