问题①:找不到opencv包
解决办法:Package opencv was not found in the pkg-config search path._stdcoutzrh的博客-CSDN博客
①在/usr/local/lib路径下新建pkgconfig文件夹,编辑opencv.pc文件,里面写上opencv的路径
②将Opencv的路径写入bashrc,export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig
③source ~/.bashrc 激活
还是找不到opencv包,于是Makefile.config文件中的include_dirs中,加入opencv的路径
成功解决!
# Whatever else you find you need goes here.
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial /usr/local/include/opencv4
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib
问题②:PROTOC src/caffe/proto/caffe.proto make:protoc:命令未找到 make: *** [Makefile:630:.build_release/src/caffe/proto/caffe.pb.cc] 错误 127
caffe编译错误:make: protoc: Command not found_陈 洪 伟的博客-CSDN博客
解决办法:sudo apt-get install protobuf-compiler
问题③:未安装boost
解决办法:在Ubuntu上安装Boost的五种方法(全网最全,建议收藏)_ubuntu安装boost_小熊coder的博客-CSDN博客
sudo apt-get update
sudo apt-get install libboost-all-dev
问题④:opencv4的问题,改源码
src/caffe/layers/window_data_layer.cpp:293:42: error: ‘CV_LOAD_IMAGE_COLOR’ was not declared in this_陈 洪 伟的博客-CSDN博客
解决办法:cv::IMREAD_COLOR替代CV_LOAD_IMAGE_COLOR cv::IMREAD_GRAYSCALE
问题⑤:编译caffe遇到的问题(二)fatal error: leveldb/db.h: No such file or directory_muyeluo123的博客-CSDN博客
解决办法:先把子模块都拉取下来 git submodule / init / update; 然后切换到build文件夹,进行cmake
Git submodule 仓库中包含另外的仓库(子仓库)_weixin_30918633的博客-CSDN博客
①git submodule 有减号
②git submodule init
③git submodule 无减号
④git submodule update 拉取子仓库下来
⑤mkdir -p build && cd build
⑥cmake -DCMAKE_BUILD_TYPE=Release .. && cmake --build .
⑦make
⑧将include下的头文件放到/usr/local/include/中去
问题⑤:make:/usr/local/cuda/bin/nvcc:命令未找到
解决办法:错误make: nvcc: Command not found 解决方案-CSDN博客
CUDA Toolkit 12.1 Downloads | NVIDIA Developer
算力匹配表:CUDA计算能力&显卡对照表_cuda算力_Janus_V的博客-CSDN博客
nvcc fatal : Unsupported gpu architecture 'compute_20'_青春如诗_的博客-CSDN博客
hdf5的路径,要将/usr/local/hdf5/include给放到Makefile.config的include路径中去。
linux - /usr/bin/ld: 找不到 -lpthreads - SegmentFault 思否ss
snappy安装
/usr/bin/ld: 找不到 -lhdf5_hl