cmake problem

[tnkong]

我使用的测试环境是ubuntu 16.04, 没有按照说明使用anaconda安装boost,结果可以编译，成功生成了Argument.so这个文件

但是到服务器上Centos7.4, 使用同样的办法就不行了，我想如果不是boost1.67安装出了问题，那就是cmake　Ｅｒｒｏｒ

boost 安装过程:

1. down load boost_1_67_0.tar.gz
2. extract file and cd it
3. ./bootstrap.sh --with-libraries=all --with-python=/home/kongtianning/anaconda3/envs/python2712/bin/python --with-python-version=2.7 --with-python-root=/home/kongtianning/anaconda3/envs/python2712 --prefix=/home/kongtianning/myboost
4. ./b2
5. ./b2 install

接下来我按照你说的做, 在ubuntu上面用系统自带的python2 没问题　但是在Centos上就不行
mkdir build
cd build
cmake -D CUDA_USE_STATIC_CUDA_RUNTIME=OFF ..　

在Ｃｅｎｔｏｓ下cmake 命令我是这样用的

cmake -DPYTHON_INCLUDE_DIR=/home/kongtianning/anaconda3/envs/python2712/include/python2.7 -DPYTHON_LIBRARY=/home/kongtianning/anaconda3/envs/python2712/lib/ -DPYTHON_EXECUTABLE=/home/kongtianning/anaconda3/envs/python2712/bin/python -D CUDA_USE_STATIC_CUDA_RUNTIME=OFF ..

结果返回是　找不到 boost_python

CMake Error at /usr/share/cmake/Modules/FindBoost.cmake:1138 (message):
Unable to find the requested Boost libraries.

Boost version: 1.67.0

Boost include path: /usr/local/include

Could not find the following Boost libraries:

      boost_python

No Boost libraries were found. You may need to set BOOST_LIBRARYDIR to the
directory containing Boost libraries or BOOST_ROOT to the location of
Boost.
Call Stack (most recent call first):
CMakeLists.txt:18 (find_package)

-- Configuring incomplete, errors occurred!
See also "/home/kongtianning/PycharmProjects/HanWangProJectPython/imageAugment/build/CMakeFiles/CMakeOutput.log".

[tnkong]

经过反复尝试，google搜索修改方案
我对文件CMakeList.txt 做了一点修改
在文件的最顶端加了一句，　这是我安装boost的路径
set(BOOST_ROOT $(BOOST_ROOT) "/home/kongtianning/myboost")

返回结果稍微改变

-- The C compiler identification is GNU 4.8.5
-- The CXX compiler identification is GNU 4.8.5
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++
-- Check for working CXX compiler: /usr/bin/c++ -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Found PythonLibs: /home/kongtianning/anaconda3/envs/python2712/lib (found suitable version "2.7.12", minimum required is "2.7")
CMake Error at /usr/share/cmake/Modules/FindBoost.cmake:1138 (message):
Unable to find the requested Boost libraries.

Boost version: 1.67.0　　(cmake能够识别到我安装的boost版本)

Boost include path: /home/kongtianning/myboost/include　　(cmake也能找到boost路径)

Could not find the following Boost libraries:

      boost_python　　(但是仍然找不到boost python)

No Boost libraries were found. You may need to set BOOST_LIBRARYDIR to the
directory containing Boost libraries or BOOST_ROOT to the location of
Boost.
Call Stack (most recent call first):
CMakeLists.txt:18 (find_package)

-- Found OpenCV: /usr/local (found version "3.4.4")
-- Configuring incomplete, errors occurred!
See also "/home/kongtianning/PycharmProjects/HanWangProJectPython/imageAugment/build/CMakeFiles/CMakeOutput.log".

[Canjie-Luo]

您试试把boost安装到系统里边去。这里我看到系统里边用的是OpenCV3，我这个包现在只支持OpenCV2...抱歉...我会标记为重要问题，向大家求教。

[tnkong]

@Canjie-Luo 问题最终得到的解决，　这个工具在ubuntu上安装容易因为可以使用apt安装，但是在Centos上安装就要碰到这个lib找不到，或者版本不对的问题，注意更新cmake的版本
yum install gtk+-devel gimp-devel gimp-devel-tools gimp-help-browser zlib-devel libtiff-devel libjpeg-devel libpng-devel gstreamer-devel libavc1394-devel libraw1394-devel libdc1394-devel jasper-devel jasper-utils swig python libtool nasm

装boost的时候不要指定自己安装的python路径，否则会出现各种问题，使用系统自带的python2.7就可以，在安装boost的时候会少走很多弯路，不会报lib找不到的问题.

Centos下安装opencv2.14.x也会遇到各种障碍，认真阅读opencv官网的安装说明，　找不到的lib可以有替代的lib安装

另外安装opencv2的时候，
cd opencv-xx.xx.xx
mkir build
cd build
cmake -D CMAKE_BUILD_TYPE=Release -D WITH_CUDA=OFF ..
(系统如果有CUDA，编译的时候会默认使用ＣＵＤＡ，　但是这个会需要更多的ｌｉｂ，我做到这里我对这个已经非常的头疼，所以选择非CUDA支持安装，编译通过)
make
make install

[tnkong]

最终希望有懂cmake的人　把这个工具改成纯python的，不然不论使用还是安装都各种麻烦

[Canjie-Luo]

谢谢您的建议。实际上我也尝试过纯python版本，但是比C++慢太多了，所以放弃了。只有这个版本可以做到实时处理。

[RubanSeven]

我用python重写了这个代码，速度在14ms，有兴趣的可以支持下，https://github.com/RubanSeven/Text-Image-Augmentation-python