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ubuntu20.0.4安装opencv4.2.0和opencv_contrib-4.2.0并支持CUDA,Geforce RTX 3060显卡,算力8.6_ubuntu安装opencv4.2

作者：寸_铁 | 2024-08-12 20:43:28

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ubuntu安装opencv4.2

参考:Ubuntu系统---配置OpenCV 

一、下载和安装依赖包

1、首先更新 apt-get，在安装前最好先更新一下系统，不然有可能会安装失败。在终端输入：

  1. sudo apt-get update
  2. sudo apt-get upgrade

2、接着安装官方给的opencv依赖包，在终端输入：

  1. sudo apt-get install build-essential
  2. sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
  3. sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
  4. sudo apt-get -y install libgstreamer-plugins-base1.0-dev
  5. sudo apt-get -y install libgstreamer1.0-dev
  6. sudo apt-get install libvtk6-dev

OpenCV3.4.x版本+Opencv_contrib+Ubuntu16.04安装记录_YuYunTan的博客-CSDN博客

安装前的必备包

  这些安装不算十分完全，我只安装自己够用就成的某些包。
  安装一些必要的库，还有cmake,git,g++。

  1. sudo apt-get install build-essential 
  2. sudo apt-get install cmake git g++

安装依赖包

  安装一些依赖包。

  1. sudo apt-get install libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev libv4l-dev liblapacke-dev
  2. sudo apt-get install checkinstall yasm libxine2-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libfaac-dev libmp3lame-dev libtheora-dev
  3. sudo apt-get install libopencore-amrnb-dev libopencore-amrwb-dev libavresample-dev x264 v4l-utils

处理图像所需的包

sudo apt-get install libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

处理视频所需包

sudo apt-get install libxvidcore-dev libx264-dev ffmpeg

opencv功能优化

sudo apt-get install libatlas-base-dev gfortran

部分依赖包

  1. sudo apt-get install libopencv-dev  libqt4-dev qt4-qmake libqglviewer-dev libsuitesparse-dev libcxsparse3.1.4 libcholmod3.0.6 
  2. sudo apt-get install python-dev python-numpy

可选依赖

  1. sudo apt-get install libprotobuf-dev protobuf-compiler
  2. sudo apt-get install libgoogle-glog-dev libgflags-dev
  3. sudo apt-get install libgphoto2-dev libeigen3-dev libhdf5-dev doxygen

3.下载cmake-gui工具和mingw-w64

  1. sudo apt install cmake-qt-gui
  2. sudo apt install mingw-w64

二、下载opencv4.2.0和opencv_contrib-4.2.0源码压缩包 

opencv4.2.0 地址https://github.com/opencv/opencv/tree/4.2.0

opencv_contrib-4.2.0地址https://github.com/opencv/opencv_contrib

首先在终端中输入如下命令来安装依赖包：

  1. sudo apt  install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev  
  2. sudo apt install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev  
  3. sudo apt  install build-essential qt5-default ccache libv4l-dev libavresample-dev  libgphoto2-dev libopenblas-base libopenblas-dev doxygen  openjdk-8-jdk pylint libvtk6-dev

三、配置opencv

1、将opencv4.2.0和opencv_contrib-4.2.0解压（提取），放在一个文件夹opencv-4.2.0下，如下图所示：

c05e595eab8d4731bca71f1a97474376.png​

 2、双击进入解压出来的opencv-4.2.0文件夹，右键打开终端（或者在别处打开终端，通过输入cd opencv-4.2.0进入当前目录下），然后依次输入（不要忘了第三行的最后的空格和两个点）：

  1. mkdir build
  2. cd build

e93f4ba860f34a138fdecb1a5b492c0e.png​ 

3.然后进行cmake编译，参数可自行调整：

在build目录内执行以下命令(注意contrib路径换成自己的)：
下面的参数是带cuda和contrib扩展包的:

  1. cmake -D CMAKE_BUILD_TYPE=RELEASE \
  2.  -D CMAKE_INSTALL_PREFIX=/usr/local \
  3.  -D INSTALL_PYTHON_EXAMPLES=ON \
  4.  -D INSTALL_C_EXAMPLES=ON \
  5.  -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.2.0/modules \
  6.  -D PYTHON3_EXECUTABLE=/usr/bin/python3 \
  7.  -D PYTHON_EXECUTABLE=/usr/bin/python \
  8.  -D WITH_TBB=ON \
  9.  -D WITH_V4L=ON \
  10.  -D WITH_QT=ON \
  11.  -D WITH_GTK=ON \
  12.  -D WITH_VTK=ON \
  13.  -D WITH_OPENGL=ON \
  14.  -D WITH_OPENMP=ON\
  15.  -D BUILD_EXAMPLES=ON \
  16.  -D WITH_CUDA=ON \
  17.  -D BUILD_TIFF=ON \
  18.  -D ENABLE_PRECOMPILED_HEADERS=OFF\
  19.  -D INSTALL_PYTHON_EXAMPLES=ON \
  20.  -D OPENCV_GENERATE_PKGCONFIG=ON \
  21.  -DOPENCV_ENABLE_NONFREE=ON \
  22.  -D CUDA_nppicom_LIBRARY=stdc++ \
  23.  -D CUDA_ARCH_BIN="8.6" ..

  • CUDA_ARCH_BIN一般需要指定，且最好不要把所有版本都编译，如CUDA_ARCH_BIN="3.0 3.5 3.7 5.0 5.2 6.0 6.1 7.0 7.5 8.6"
    最好根据上面的说明，查一下当前显卡的型号，以及对应的显卡算力，然后在这里指定一个即可,如3060显卡可以保持 CUDA_ARCH_BIN="8.6"。否则全部编译一遍速度会很慢。

     3060显卡不加这条命令: -D CUDA_ARCH_BIN="8.6" ,会报错如下:

    1. nvcc fatal   : Unsupported gpu architecture 'compute_30'
    2. CMake Error at cuda_compile_1_generated_gpu_mat.cu.o.RELEASE.cmake:222 (message):
    3.   Error generating
    4.   /home/cgm/opencv-4.2.0/opencv-4.2.0/build/modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/./cuda_compile_1_generated_gpu_mat.cu.o

    原因: 我的3060显卡不支持compute_30的GPU构架

    GPUCompute Capability
    Geforce RTX 30608.6

    算力 CUDA GPUs - Compute Capability | NVIDIA Developer

     nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).

    nvcc警告：“compute_35”、“compute_3 7”、“compute_50”、“sm_35”，“sm_37”和“sm_50”体系结构已弃用，可能会在将来的版本中删除（使用-Wno弃用的gpu目标来抑制警告）。

cuda 11已经废弃 compute_30了，所以需要把compute_30给去掉

 ​9d8db948257841aba4b164561a3a79e5.png

  •  CMAKE_INSTALL_PREFIX指定了编译好的库的目录，也就是说编译完成的OpenCV库文件会在该目录下
  • OPENCV_GENERATE_PKGCONFIG指定了生成pkgconfig配置文件，这个文件在后续创建OpenCV工程的时会很有用。
  • 如果没有  -D OPENCV_GENERATE_PKGCONFIG=ON ，后面查看配置时会找不到：
  1. $ pkg-config --cflags --libs opencv4
  2.  
  3. Package opencv4 was not found in the pkg-config search path.
  4.  
  5. Perhaps you should add the directory containing `opencv4.pc'
  7. to the PKG_CONFIG_PATH environment variable
  9. No package 'opencv4' found
  •   增加 这个命令  -DOPENCV_ENABLE_NONFREE=ON \  是为了不出现下面那这样的结果
  1. terminate called after throwing an instance of 'cv::Exception'
  2.   what():  OpenCV(4.2.0) /home/cgm/opencv-4.2.0/opencv_contrib-4.2.0/modules/xfeatures2d/src/surf.cpp:1027: error: (-213:The function/feature is not implemented) This algorithm is patented and is excluded in this configuration; Set OPENCV_ENABLE_NONFREE CMake option and rebuild the library in function 'create'

“此算法已获得专利，在此配置中被排除在外；”

“设置OPENCV_ENABLE_NONFREE CMake选项并重建库”）；

7cfda0b962d547afb18be7d2feb912f5.png

3.编译成功

最后会列出其编译后的模块列表。

  1. --   OpenCV modules:
  2. --     To be built:                 aruco bgsegm bioinspired calib3d ccalib core cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev cvv datasets dnn dnn_objdetect dnn_superres dpm face features2d flann freetype fuzzy gapi hdf hfs highgui img_hash imgcodecs imgproc line_descriptor ml objdetect optflow phase_unwrapping photo plot python2 python3 quality reg rgbd saliency sfm shape stereo stitching structured_light superres surface_matching text tracking ts video videoio videostab viz xfeatures2d ximgproc xobjdetect xphoto
  3. --     Disabled:                    world
  4. --     Disabled by dependency:      -
  5. --     Unavailable:                 cnn_3dobj java js matlab ovis
  6. --     Applications:                tests perf_tests examples apps
  7. --     Documentation:               NO
  8. --     Non-free algorithms:         NO
  9. -- 
  10. --   GUI: 
  11. --     QT:                          YES (ver 5.12.8)
  12. --       QT OpenGL support:         YES (Qt5::OpenGL 5.12.8)
  13. --     GTK+:                        NO
  14. --     OpenGL support:              YES (/usr/lib/x86_64-linux-gnu/libGL.so /usr/lib/x86_64-linux-gnu/libGLU.so)
  15. --     VTK support:                 YES (ver 7.1.1)
  16. -- 
  17. --   Media I/O: 
  18. --     ZLib:                        /usr/lib/x86_64-linux-gnu/libz.so (ver 1.2.11)
  19. --     JPEG:                        /usr/lib/x86_64-linux-gnu/libjpeg.so (ver 80)
  20. --     WEBP:                        /usr/lib/x86_64-linux-gnu/libwebp.so (ver encoder: 0x020e)
  21. --     PNG:                         /usr/lib/x86_64-linux-gnu/libpng.so (ver 1.6.37)
  22. --     TIFF:                        build (ver 42 - 4.0.10)
  23. --     JPEG 2000:                   build (ver 1.900.1)
  24. --     OpenEXR:                     build (ver 2.3.0)
  25. --     HDR:                         YES
  26. --     SUNRASTER:                   YES
  27. --     PXM:                         YES
  28. --     PFM:                         YES
  29. -- 
  30. --   Video I/O:
  31. --     DC1394:                      YES (2.2.5)
  32. --     FFMPEG:                      YES
  33. --       avcodec:                   YES (58.54.100)
  34. --       avformat:                  YES (58.29.100)
  35. --       avutil:                    YES (56.31.100)
  36. --       swscale:                   YES (5.5.100)
  37. --       avresample:                YES (4.0.0)
  38. --     GStreamer:                   YES (1.16.3)
  39. --     v4l/v4l2:                    YES (linux/videodev2.h)
  40. -- 
  41. --   Parallel framework:            TBB (ver 2020.1 interface 11101)
  42. -- 
  43. --   Trace:                         YES (with Intel ITT)
  44. -- 
  45. --   Other third-party libraries:
  46. --     Intel IPP:                   2019.0.0 Gold [2019.0.0]
  47. --            at:                   /home/cgm/opencv-4.2.0/opencv-4.2.0/build/3rdparty/ippicv/ippicv_lnx/icv
  48. --     Intel IPP IW:                sources (2019.0.0)
  49. --               at:                /home/cgm/opencv-4.2.0/opencv-4.2.0/build/3rdparty/ippicv/ippicv_lnx/iw
  50. --     Lapack:                      NO
  51. --     Eigen:                       YES (ver 3.3.7)
  52. --     Custom HAL:                  NO
  53. --     Protobuf:                    build (3.5.1)
  54. -- 
  55. --   NVIDIA CUDA:                   YES (ver 11.4, CUFFT CUBLAS)
  56. --     NVIDIA GPU arch:             30 35 37 50 52 60 61 70 75
  57. --     NVIDIA PTX archs:
  58. -- 
  59. --   cuDNN:                         NO
  60. -- 
  61. --   OpenCL:                        YES (no extra features)
  62. --     Include path:                /home/cgm/opencv-4.2.0/opencv-4.2.0/3rdparty/include/opencl/1.2
  63. --     Link libraries:              Dynamic load
  64. -- 
  65. --   Python 2:
  66. --     Interpreter:                 /usr/bin/python (ver 2.7.18)
  67. --     Libraries:                   /usr/lib/x86_64-linux-gnu/libpython2.7.so (ver 2.7.18)
  68. --     numpy:                       /usr/lib/python2.7/dist-packages/numpy/core/include (ver 1.16.5)
  69. --     install path:                lib/python2.7/dist-packages/cv2/python-2.7
  70. -- 
  71. --   Python 3:
  72. --     Interpreter:                 /usr/bin/python3 (ver 3.8.10)
  73. --     Libraries:                   /usr/lib/x86_64-linux-gnu/libpython3.8.so (ver 3.8.10)
  74. --     numpy:                       /home/cgm/.local/lib/python3.8/site-packages/numpy/core/include (ver 1.23.3)
  75. --     install path:                lib/python3.8/dist-packages/cv2/python-3.8
  76. -- 
  77. --   Python (for build):            /usr/bin/python
  78. --     Pylint:                      /usr/bin/pylint (ver: 3.8.10, checks: 163)
  79. -- 
  80. --   Java:                          
  81. --     ant:                         NO
  82. --     JNI:                         /usr/lib/jvm/java-8-openjdk-amd64/include /usr/lib/jvm/java-8-openjdk-amd64/include/linux /usr/lib/jvm/java-8-openjdk-amd64/include
  83. --     Java wrappers:               NO
  84. --     Java tests:                  NO
  85. -- 
  86. --   Install to:                    /usr/local
  87. -- -----------------------------------------------------------------
  88. -- 
  89. -- Configuring done
  90. -- Generating done
  91. -- Build files have been written to: /home/cgm/opencv-4.2.0/opencv-4.2.0/build

 我们可以发现，我们编译已经成功，可以进行下一步，即make，但是值得注意的是，如果用多核make可能会报错

sudo make -j6

j6表示6核运行,查看自己 CPU 的核数:

  1. # uniq 可以去重连续出现的相同记录
  2. cat /proc/cpuinfo | grep "cpu cores" | uniq

报错:

023f7884952b4331bdd70c421b123d79.png

 In file included from /home/cgm/opencv-4.2.0/opencv-4.2.0/modules/python/src2/cv2.cpp:35:
/home/cgm/opencv-4.2.0/opencv-4.2.0/build/modules/python_bindings_generator/pyopencv_generated_include.h:44:10: fatal error: opencv2/viz/types.hpp: 没有那个文件或目录
   44 | #include "opencv2/viz/types.hpp"

原因:仔细分析发现这个文件是 /home/cgm/opencv-4.2.0/opencv-4.2.0/modules/python/src2/cv2.cpp第35行包含了一个头文件 #include "pyopencv_generated_include.h"

然后搜索打开这个头文件 pyopencv_generated_include.h发现第44行就是出错没有找到的那个头文件#include "opencv2/viz/types.hpp"

然后make时在 opencv-4.2.0 里没有找到这个头文件,确实也没有,我搜索后发现这个文件在opencv_contrib-4.2.0里面.

/home/cgm/opencv-4.2.0/opencv_contrib-4.2.0/modules/viz/src
 6ac71b38d36049c68b503795c9c8e0dc.png

解决办法: 将/home/cgm/opencv-4.2.0/opencv_contrib-4.2.0/modules/viz/include/opencv2/viz 添加进 /home/cgm/opencv-4.2.0/opencv-4.2.0/modules/python 的 CMakeLists.txt 里面.

include_directories("/home/cgm/opencv-4.2.0/opencv_contrib-4.2.0/modules/viz/include/opencv2/viz")

71ac46dd1c494355a815d8c2bc1c4d5f.png

再重新cmake和make..........

5b8bdf9ec0174040b1c64847441c8897.png

4.安装

sudo make install

5.安装完成后还要配置环境变量

终端输入或用gedit（替换vim）打开：

sudo gedit /etc/ld.so.conf.d/opencv.conf

在里面添加：

/usr/local/lib

73319f72a7a34a069c00ca5638859ab2.png保存退出，配置库：这里报错参考 sudo ldconfig报错

sudo ldconfig

38a438496818418184ef1f05245fe314.png

添加修改环境变量

sudo gedit ~/.bashrc

在末尾添加如下内容

  1. #opencv4.2.0环境变量
  2. export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
  3. export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib

保存退出,最后source一下，让更改立即生效：

source ~/.bashrc

因为，对于OpenCV4以上的版本要使用OpenCV4才能正确查询到其版本，库以及头文件目录的值。具体命令如下所示：

  1. pkg-config --modversion opencv4
  2. pkg-config --cflags opencv4
  3. pkg-config --libs   opencv4

注意：opencv4以上才是pkg-config --cflags --libs opencv4，之前版本是pkg-config --cflags --libs opencv。

四.运行测试

我安装这个的目的暂时是为了运行 SIFT,SURE,FREAK特征提取算法.

你们可以去测试自己的.

335dd272a5e443728761d87696fb18d6.png

五.2023年3月17日遇到的问题记录

今天运行orb slam2,发现运行不了了

报错:make[2]: *** 没有规则可制作目标“/usr/lib/libOpenNI.so”,由“../lib/libORB_SSLAM2.so" 需求。停止。

解决：

sudo apt-get install libopenni-dev libopenni2-dev

 在编译时Cmake警告:

  1. CMake Warning at CMakeLists.txt:123 (add_executable):
  2.   Cannot generate a safe runtime search path for target mono_euroc because
  3.   files in some directories may conflict with libraries in implicit
  4.   directories:
  5.  
  6.     runtime library [libopencv_stitching.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  7.       /usr/local/lib
  8.     runtime library [libopencv_aruco.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  9.       /usr/local/lib
  10.     runtime library [libopencv_bgsegm.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  11.       /usr/local/lib
  12.     runtime library [libopencv_bioinspired.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  13.       /usr/local/lib
  14.     runtime library [libopencv_ccalib.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  15.       /usr/local/lib
  16.     runtime library [libopencv_dnn_objdetect.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  17.       /usr/local/lib
  18.     runtime library [libopencv_dnn_superres.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  19.       /usr/local/lib
  20.     runtime library [libopencv_dpm.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  21.       /usr/local/lib
  22.     runtime library [libopencv_highgui.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  23.       /usr/local/lib
  24.     runtime library [libopencv_face.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  25.       /usr/local/lib
  26.     runtime library [libopencv_freetype.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  27.       /usr/local/lib
  28.     runtime library [libopencv_fuzzy.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  29.       /usr/local/lib
  30.     runtime library [libopencv_hdf.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  31.       /usr/local/lib
  32.     runtime library [libopencv_hfs.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  33.       /usr/local/lib
  34.     runtime library [libopencv_img_hash.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  35.       /usr/local/lib
  36.     runtime library [libopencv_line_descriptor.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  37.       /usr/local/lib
  38.     runtime library [libopencv_quality.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  39.       /usr/local/lib
  40.     runtime library [libopencv_reg.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  41.       /usr/local/lib
  42.     runtime library [libopencv_rgbd.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  43.       /usr/local/lib
  44.     runtime library [libopencv_saliency.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  45.       /usr/local/lib
  46.     runtime library [libopencv_shape.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  47.       /usr/local/lib
  48.     runtime library [libopencv_stereo.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  49.       /usr/local/lib
  50.     runtime library [libopencv_structured_light.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  51.       /usr/local/lib
  52.     runtime library [libopencv_phase_unwrapping.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  53.       /usr/local/lib
  54.     runtime library [libopencv_superres.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  55.       /usr/local/lib
  56.     runtime library [libopencv_optflow.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  57.       /usr/local/lib
  58.     runtime library [libopencv_surface_matching.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  59.       /usr/local/lib
  60.     runtime library [libopencv_tracking.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  61.       /usr/local/lib
  62.     runtime library [libopencv_datasets.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  63.       /usr/local/lib
  64.     runtime library [libopencv_plot.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  65.       /usr/local/lib
  66.     runtime library [libopencv_text.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  67.       /usr/local/lib
  68.     runtime library [libopencv_dnn.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  69.       /usr/local/lib
  70.     runtime library [libopencv_ml.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  71.       /usr/local/lib
  72.     runtime library [libopencv_videostab.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  73.       /usr/local/lib
  74.     runtime library [libopencv_videoio.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  75.       /usr/local/lib
  76.     runtime library [libopencv_viz.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  77.       /usr/local/lib
  78.     runtime library [libopencv_ximgproc.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  79.       /usr/local/lib
  80.     runtime library [libopencv_video.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  81.       /usr/local/lib
  82.     runtime library [libopencv_xobjdetect.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  83.       /usr/local/lib
  84.     runtime library [libopencv_imgcodecs.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  85.       /usr/local/lib
  86.     runtime library [libopencv_objdetect.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  87.       /usr/local/lib
  88.     runtime library [libopencv_calib3d.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  89.       /usr/local/lib
  90.     runtime library [libopencv_features2d.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  91.       /usr/local/lib
  92.     runtime library [libopencv_flann.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  93.       /usr/local/lib
  94.     runtime library [libopencv_xphoto.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  95.       /usr/local/lib
  96.     runtime library [libopencv_photo.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  97.       /usr/local/lib
  98.     runtime library [libopencv_imgproc.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  99.       /usr/local/lib
  100.     runtime library [libopencv_core.so.4.2] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
  101.       /usr/local/lib
  102.  
  103.   Some of these libraries may not be found correctly.

CMakeLists.txt里是这样的

  1. find_package(OpenCV QUIET)
  2. if(NOT OpenCV_FOUND)
  3.    find_package(OpenCV 2.4.3 QUIET)
  4.    if(NOT OpenCV_FOUND)
  5.       message(FATAL_ERROR "OpenCV > 2.4.3 not found.")
  6.    endif()
  7. endif()

增加一些message命令查看OpenCV的信息

  1. # If the package has been found, several variables will
  2. # be set, you can find the full list with descriptions
  3. # in the OpenCVConfig.cmake file.
  4. # Print some message showing some of them
  5. message(STATUS "OpenCV library status:")  
  6. message(STATUS "    config: ${OpenCV_DIR}")  
  7. message(STATUS "    version: ${OpenCV_VERSION}")  
  8. message(STATUS "    libraries: ${OpenCV_LIBS}")  
  9. message(STATUS "    include path: ${OpenCV_INCLUDE_DIRS}")

 OpenCV_DIR 是 /usr/lib/x86_64-linux-gnu/cmake/opencv4，并且有警告信息

解决：

设置OpenCV_DIR的路径，重新编译运行./build.sh

SET(OpenCV_DIR /usr/local/lib/cmake/opencv4/)   # 设置OpenCV_DIR
  1. SET(OpenCV_DIR /usr/local/lib/cmake/opencv4/)   # 设置OpenCV_DIR
  2. find_package(OpenCV QUIET)
  3. if(NOT OpenCV_FOUND)
  4.    find_package(OpenCV 2.4.3 QUIET)
  5.    if(NOT OpenCV_FOUND)
  6.       message(FATAL_ERROR "OpenCV > 2.4.3 not found.")
  7.    endif()
  8. endif()
  9.  
  10. # If the package has been found, several variables will
  11. # be set, you can find the full list with descriptions
  12. # in the OpenCVConfig.cmake file.
  13. # Print some message showing some of them
  14. message(STATUS "OpenCV library status:")
  15. message(STATUS "    config: ${OpenCV_DIR}")
  16. message(STATUS "    version: ${OpenCV_VERSION}")
  17. message(STATUS "    libraries: ${OpenCV_LIBS}")
  18. message(STATUS "    include path: ${OpenCV_INCLUDE_DIRS}")

 

 

 

TO BE CONTINUED...

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