在编译darknet_ros报错 error "OpenCV 4.x+ requires enabled C++11 support"，请问这种怎么解决亚
不知道你这个问题是否已经解决, 如果还没有解决的话:例如
[ 67%] Built target opencv_test_features2d
[ 67%] Building CXX object modules/core/CMakeFiles/opencv_test_core.dir/test/test_logtagconfigparser.cpp.o
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_spawn_async_with_fds’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_utf8_validate_len’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_source_set_dispose_function’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_ref_count_dec’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_unix_get_passwd_entry’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_uri_join’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_uri_split_with_user’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_canonicalize_filename’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_uri_split_network’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_uri_is_valid’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_file_set_contents_full’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_ptr_array_steal’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_atomic_ref_count_init’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_atomic_ref_count_dec’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_ref_count_init’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_atomic_ref_count_inc’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_memdup2’未定义的引用
/home/xxy/anaconda3/lib/libgio-2.0.so.0：对‘g_ref_count_inc’未定义的引用
collect2: error: ld returned 1 exit status
modules/videoio/CMakeFiles/opencv_test_videoio.dir/build.make:237: recipe for target 'bin/opencv_test_videoio' failed
make[2]: *** [bin/opencv_test_videoio] Error 1
CMakeFiles/Makefile2:2613: recipe for target 'modules/videoio/CMakeFiles/opencv_test_videoio.dir/all' failed
make[1]: *** [modules/videoio/CMakeFiles/opencv_test_videoio.dir/all] Error 2
[ 67%] Building CXX object modules/imgproc/CMakeFiles/opencv_test_imgproc.dir/test/test_connectedcomponents.cpp.o
大多数情况是因为Anaconda中的部分库冲突。
解决办法：
这个错误可能是由于OpenCV版本过低导致的，需要更新OpenCV版本，使其支持C++11，具体步骤如下：