ubuntu 16.04 LTS编译caffe 注意事项

最新推荐文章于 2024-07-21 18:37:45 发布

weixin_34232363

最新推荐文章于 2024-07-21 18:37:45 发布

阅读量80

点赞数

CC 4.0 BY-SA版权

文章标签：人工智能 python

原文链接：https://my.oschina.net/yishanhu/blog/1822036

本文详细介绍了如何从GitHub上克隆Caffe代码并进行本地安装，包括安装必要的依赖包、配置Makefile.config文件等步骤。此外，还特别针对在编译Pycaffe过程中遇到的错误提供了具体的解决方案。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

2019独角兽企业重金招聘Python工程师标准>>>

1，从github上克隆caffe代码到本地目录

2，安装必要的依赖包

sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
sudo apt-get install --no-install-recommends libboost-all-dev
sudo apt-get install libopenblas-dev
使用openblas时作为数据计算时，必须安装

cp Makefile.config.example Makefile.config
由于hdf5-serial开发包不是安装在系统默认的include和lib目录，需要手工指定hdf5-serial的include目录和lib所在目录，修改配置文件中的这两行，修改后如下：
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include  /usr/include/hdf5/serial/ 
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu/hdf5/serial/ 


修改配置文件中的BLAS := open

3, 编译pycaffe错误

$ make pycaffe
CXX/LD -o python/caffe/_caffe.so python/caffe/_caffe.cpp
python/caffe/_caffe.cpp:10:31: fatal error: numpy/arrayobject.h: No such file or directory

##检查Makefile.config文件的70行处 
PYTHON_INCLUDE := /usr/include/python2.7 \
		/usr/lib/python2.7/dist-packages/numpy/core/include


## 确认python-numpy是否已安装
$ sudo apt install python-numpy
Reading package lists... Done
Building dependency tree       
Reading state information... Done
python-numpy is already the newest version (1:1.11.0-1ubuntu1).


$ ls /usr/lib/python2.7/dist-packages/numpy/core/include
ls: cannot access '/usr/lib/python2.7/dist-packages/numpy/core/include': No such file or directory
## 设置PYTHON_INCLUDE为
PYTHON_INCLUDE := /usr/include/python2.7 \
		/usr/local/lib/python2.7/dist-packages/numpy/core/include

转载于:https://my.oschina.net/yishanhu/blog/1822036