我有opencv 3.1（从源代码构建）在Ubuntu中运行得非常好。然而，在我从anaconda（conda install -c menpo opencv3 = 3.2.0）安装了opencv 3.2的python版本后，我遇到以下警告/错误：
/ usr / bin / ld：警告：libjpeg.so.9，需要 //home/sss/anaconda3/lib/libtiff.so.5，找不到（尝试使用-rpath或 -rpath链路）
// home / sss / anaconda3 / lib / libtiff.so.5：未定义的引用 ＆＃39; jpeg_finish_decompress@LIBJPEG_9.0'
// home / sss / anaconda3 / lib / libtiff.so.5：未定义的引用 ＆＃39; jpeg_set_quality@LIBJPEG_9.0'
...
这是我的cmake文件，我跟踪了一些在线资源。
cmake_minimum_required(VERSION 2.8)
project( test )
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11")
find_package( OpenCV REQUIRED )
message(STATUS "OpenCV library status:")
message(STATUS " version: ${OpenCV_VERSION}")
message(STATUS " libraries: ${OpenCV_LIBS}")
message(STATUS " include path: ${OpenCV_INCLUDE_DIRS}")
message(STATUS " library path: ${OpenCV_LIB_DIR}")
include_directories( ${OpenCV_INCLUDE_DIRS} )
add_executable( testcv main.cpp )
target_link_libraries( testcv ${OpenCV_LIBS} )
- OpenCV库状态：
- 版本：3.1.0
- 图书馆：
opencv_xphoto; opencv_xobjdetect; opencv_ximgproc; opencv_xfeatures2d; opencv_tracking; opencv_text; opencv_surface_matching; opencv_structured_light; opencv_stereo; opencv_saliency; opencv_rgbd; opencv_reg; opencv_plot; opencv_optflow; opencv_line_descriptor; opencv_hdf; opencv_fuzzy; opencv_face; opencv_dpm; opencv_dnn; opencv_datasets; opencv_ccalib; opencv_bioinspired; opencv_bgsegm ; opencv_aruco; opencv_videostab; opencv_videoio; opencv_video; opencv_superres; opencv_stitching; opencv_shape; opencv_photo; opencv_objdetect; opencv_ml; opencv_imgproc; opencv_imgcodecs; opencv_highgui; opencv_flann; opencv_features2d; opencv_core; opencv_calib3d
- 包含路径：/ usr / local / include / opencv; / usr / local / include
- 库路径：/ usr / local / share / OpenCV / 3rdparty / lib
- 配置完成
- 生成完成
- 构建文件已写入：/ home / sss / Project / OpenCV / Test01 / build
所有opencv库都位于＆＃34; / usr / local / lib＆＃34;内，并且只有一个文件＆＃34; libippicv.a＆＃34;在文件夹＆＃34; / usr / local / share / OpenCV / 3rdparty / lib＆＃34;中。我尝试添加SET（OpenCV_LIB_DIR＆＃34; / usr / local / lib＆＃34;），编译错误仍然存在。
我的main.cpp只包含两个opencv行：
Mat image;
image = imread("lena.jpg",1);
如果我评论第二行（imread），那么构建就会成功。
似乎以某种方式在anaconda内部安装opencv对系统进行了一些外部更改，但它们是什么？如何才能让我的opencv重新开始工作？
更新
我通过重定向链接找到了一种临时方式：
export LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu
但之前改变了什么？以及如何在cmake中正确地做到这一点？
更新
它再次停止工作。虽然我可以构建它，但是一旦我运行该程序，它就会不断询问ligjpeg.so.9。
加载共享库时出现＆＃34;错误：libjpeg.so.9：无法打开共享对象文件：没有这样的文件或目录＆＃34;
如何解决？