在自己的Mac上写了一个基于OpenCV的简单程序；需要传给其他人共同调试，但是可执行文件在他人的Mac上无法运行；执行时会提示：
dyld: Library not loaded: /usr/local/Cellar/opencv/2.4.12/lib/libopencv_features2d.2.4.dylib
这样就引申出来一个问题：在xcode下编译出的程序，在开发机器上运行是没有问题的。但是给其他用户用，就可能出问题。因为用户不一定有这个库。
有两种方法可以解决这个问题；一是给其他用户也安装依赖的库文件；二是将所有的dylib随行发布，消除依赖。
第一种方案不考虑，大部分时候这样做并不现实；下面说说如何随行发布dylib。
单纯将依赖的dylib文件拷贝到可执行文件目录下一同传输过去是不能消除依赖的；执行的时候还是报错；
在编译一个动态库的时候, 你需要指定 INSTALL_PATH. 也就是它的安装路径；编译完成后如果一个可执行程序使用了该动态库, 那么在编译可执行程序的时候, 动态库的 INSTALL_PATH 会被记录到可执行程序中, 用来定位这个动态库。
因此我们首先需要将用到的dylib文件都拷贝到可执行文件目录下，然后改变动态库的INSTALL_PATH；将其改到可执行文件所在目录；
需要注意的是：如果依赖多个动态库，用到的动态库已会依赖其他动态库，因此用到的所有的动态库的依赖动态库路径都需要修改。
以OpenCV为例子，假设最终编译出来的可执行文件为 macimgproc；执行命令：otool -L macimgproc可看到如下的输出：
macimgproc:
/usr/local/opt/opencv/lib/libopencv_calib3d.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_contrib.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_core.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_features2d.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_flann.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_gpu.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_highgui.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_imgproc.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_legacy.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_ml.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_nonfree.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_objdetect.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_ocl.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_photo.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_stitching.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_superres.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_video.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_videostab.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/lib/libc++.1.dylib (compatibility version 1.0.0, current version 307.4.0)
/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 1238.0.0)
说明macimgproc依赖所有的OpenCV动态库文件；因此首先需要将所有动态库文件拷贝到macimgproc所在目录，然后需要将macimgproc文件中的所有/usr/local/opt/opencv/lib/libopencv_xxx修改为@executable_path/libopencv_xxx；
@executable_path表示可执行文件所在目录；指示所有OpenCV动态库从可执行文件所在目录查找；
更多@executable_path的介绍以及其他变量参见文章 @rpath, @loader_path, @executable_path。
使用命令install_name_tool -change {old.dylib} {new.dylib} {filename}修改动态库的INSTALL_PATH，例如：
install_name_tool -change /usr/local/Cellar/opencv/2.4.12/lib/libopencv_flann.2.4.dylib @executable_path/libopencv_flann.2.4.dylib macimgproc
执行后重新otool -L macimgproc可看到如下的输出：
macimgproc:
...
/usr/local/opt/opencv/lib/libopencv_features2d.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
@executable_path/libopencv_flann.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
/usr/local/opt/opencv/lib/libopencv_gpu.2.4.dylib (compatibility version 2.4.0, current version 2.4.12)
...
依次修改所有依赖即可。
整个OpenCV库大概有19个dylib文件，因此写了一个简单的批量修改脚本：
#!/usr/bin/ruby
Preview=0
def fix_opencv_lib_link(file,rlib)
if(rlib.include?('libopencv'))
name = rlib.split('/').last
cmd = "install_name_tool -change #{rlib} @executable_path/#{name} #{file}"
if Preview == 1
puts "Preivew: #{cmd}"
else
`#{cmd}`
end
else
puts "ignore rlib: #{rlib}";
end
end
def fix_file_rely_lib(file)
puts "===============start change #{file}==============="
linklibs = `otool -L #{file}`.split("\n")
linklibs.delete_at(0)
linklibs.each_with_index do |rlib,i|
rlib = rlib.split()[0]
fix_opencv_lib_link(file,rlib)
end
end
def doopencvlist
# puts "Preview: #{Preview}"
`ls |grep libopencv`.split().each_with_index do |file,i|
fix_file_rely_lib(file)
end
end
def viewlib(file)
puts `otool -L #{file}`
end
if __FILE__ == $0
if ARGV[0] == 'preview'
Preview = 1;
doopencvlist();
elsif ARGV[0] == 'view'
`ls |grep libopencv`.split().each_with_index do |file,i|
# puts "===============start view #{file}==============="
viewlib(file)
end
elsif ARGV[0] == 'do'
doopencvlist();
elsif ARGV[0] == 'previewfile'
Preview = 1;
fix_file_rely_lib(ARGV[1])
elsif ARGV[0] == 'file'
fix_file_rely_lib(ARGV[1])
else
puts "please input command [preview,do,previewfile,file,view] "
end
end
参考链接
http://blog.csdn.net/openglnewbee/article/details/17783909
如何使用第三方的dylib
@rpath, @loader_path, @executable_path
Apple Developer：Overview of Dynamic Libraries
Apple Developer： Run-Path Dependent Libraries
