/home/syl/software/opencv/modules/python/src2/cv2.cpp:33:10: fatal error: numpy/ndarrayobject.h: No such file or directory
#include
看到网上有说解决方法是：
sudo apt-get install python-numpy
试了下，不行，然后自己检查了一下代码，发现是python2.7的安装路径问题
所以，修改opencv的cmake编译选项即可。
原来：
-DPYTHON2_NUMPY_INCLUDE_DIRS=/usr/lib/python2.7/dist-packages/numpy/core/include/ -DPYTHON2_PACKAGES_PATH=/usr/lib/python2.7/dist-packages
修改成：
-DPYTHON2_NUMPY_INCLUDE_DIRS=/usr/local/lib/python2.7/dist-packages/numpy/core/include/ -DPYTHON2_PACKAGES_PATH=/usr/local/lib/python2.7/dist-packages
这个问题在后续Dynaslam的编译中也会出现，需要把CMakeList里面的python路径修改一下。
原来：
include_directories(
${PROJECT_SOURCE_DIR}
${PROJECT_SOURCE_DIR}/include
${EIGEN3_INCLUDE_DIR}
${Pangolin_INCLUDE_DIRS}
/usr/include/python2.7/
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/
${Boost_INCLUDE_DIRS}
)
修改成：
include_directories(
${PROJECT_SOURCE_DIR}
${PROJECT_SOURCE_DIR}/include
${EIGEN3_INCLUDE_DIR}
${Pangolin_INCLUDE_DIRS}
/usr/include/python2.7/
/usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy
${Boost_INCLUDE_DIRS}
)
然后又有点奇怪，编译好docker之后，重新加载，发现自己修改路径的方法居然不行了，又只能换了种方法解决这个问题。
rm -rf /usr/include/numpy && ln -s /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy /usr/include/numpy
