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Ubuntu16.04下安裝Opencv3.2.01.下載下傳opencv3.2.0安裝包，進入官網： http://opencv.org/releases.html，選擇 3.2.0 版本的 source , 下載下傳 opencv-3.2.0.zip。2.安裝opencv需要的一些庫，能安裝的盡量都安裝上：3.将安裝包放在根目錄下，進行解壓，再執行指令：4.錯誤解決：5.編譯成功後進行安裝：6.安裝完成後通過檢視 opencv 版本驗證是否安裝成功：

1.下載下傳opencv3.2.0安裝包，進入官網： http://opencv.org/releases.html，選擇 3.2.0 版本的 source , 下載下傳 opencv-3.2.0.zip。

2.安裝opencv需要的一些庫，能安裝的盡量都安裝上： 

sudo apt-get install build-essential
 
sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
 
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
 
sudo apt-get install --assume-yes libopencv-dev libdc1394-22 libdc1394-22-dev libjpeg-dev libpng12-dev libtiff5-dev libjasper-dev libavcodec-dev libavformat-dev libswscale-dev libxine2-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev libtbb-dev libqt4-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev x264 v4l-utils unzip
 
sudo apt-get install ffmpeg libopencv-dev libgtk-3-dev python-numpy python3-numpy libdc1394-22 libdc1394-22-dev libjpeg-dev libpng12-dev libtiff5-dev libjasper-dev libavcodec-dev libavformat-dev libswscale-dev libxine2-dev libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev libv4l-dev libtbb-dev qtbase5-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev

sudo apt-get install libgtk-3-dev

sudo apt-get -y install libgstreamer-plugins-base1.0-dev

sudo apt-get -y install libgstreamer1.0-dev

sudo apt-get -y install libavresample-dev

sudo apt-get -y install libgphoto2-dev

sudo apt-get install libopenblas-dev

sudo apt-get install doxygen

3.将安裝包放在根目錄下，進行解壓，再執行指令： 

cd opencv-3.2.0
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D CUDA_GENERATION=Kepler ..
sudo make -j12

4.錯誤解決：

  • 問題1：ICV: Downloading ippicv_linux_20151201.tgz下載下傳卡住，逾時

解決：手動下載下傳：ippicv_linux_20151201.tgz

            載完後替換opencv-3.2.0/3rdparty/ippicv/downloads/linux-*目錄下的同名檔案，重新cmake。

  • 問題2：出現以下錯誤，原因是cuda9不再支援2.0架構 
CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
CUDA_nppi_LIBRARY (ADVANCED)
linked by target "opencv_cudev" in directory D:/Cproject/opencv/opencv/sources/modules/cudev
linked by target "opencv_cudev" in directory D:/Cproject/opencv/opencv/sources/modules/cudev
linked by target "opencv_test_cudev" in directory D:/Cproject/opencv/opencv/sources/modules/cudev/test
linked by target "opencv_core" in directory D:/Cproject/opencv/opencv/sources/modules/core
linked by target "opencv_core" in directory D:/Cproject/opencv/opencv/sources/modules/core
linked by target "opencv_test_core" in directory D:/Cproject/opencv/opencv/sources/modules/core
linked by target "opencv_perf_core" in directory D:/Cproject/opencv/opencv/sources/modules/core
linked by target "opencv_test_cudaarithm" in directory D:/Cproject/opencv/opencv/sources/modules/cudaarithm
linked by target "opencv_cudaarithm" in directory D:/Cproject/opencv/opencv/sources/modules/cudaarithm
linked by target "opencv_cudaarithm" in directory D:/Cproject/opencv/opencv/sources/modules/cudaarithm
linked by target "opencv_perf_cudaarithm" in directory D:/Cproject/opencv/opencv/sources/modules/cudaarithm
linked by target "opencv_flann" in directory D:/Cproject/opencv/opencv/sources/modules/flann
linked by target "opencv_flann" in directory D:/Cproject/opencv/opencv/sources/modules/flann
linked by target "opencv_test_flann" in directory D:/Cproject/opencv/opencv/sources/modules/flann
.
.
.
linked by target "opencv_traincascade" in directory D:/Cproject/opencv/opencv/sources/apps/traincascade
linked by target "opencv_createsamples" in directory D:/Cproject/opencv/opencv/sources/apps/createsamples
linked by target "opencv_annotation" in directory D:/Cproject/opencv/opencv/sources/apps/annotation
linked by target "opencv_visualisation" in directory D:/Cproject/opencv/opencv/sources/apps/visualisation
linked by target "opencv_version" in directory D:/Cproject/opencv/opencv/sources/apps/version

解決：按照以下步驟改完之後，重新cmake

1.找到/home/xxx/opencv-3.2.0/cmake下的FindCUDA.cmake檔案：

将：
find_cuda_helper_libs(nppi)
改為：
find_cuda_helper_libs(nppial)
find_cuda_helper_libs(nppicc)
find_cuda_helper_libs(nppicom)
find_cuda_helper_libs(nppidei)
find_cuda_helper_libs(nppif)
find_cuda_helper_libs(nppig)
find_cuda_helper_libs(nppim)
find_cuda_helper_libs(nppist)
find_cuda_helper_libs(nppisu)
find_cuda_helper_libs(nppitc)

----------------------------------

将：
set(CUDA_npp_LIBRARY "${CUDA_nppc_LIBRARY};${CUDA_nppi_LIBRARY};${CUDA_npps_LIBRARY}")
改為：
set(CUDA_npp_LIBRARY "${CUDA_nppc_LIBRARY};${CUDA_nppial_LIBRARY};${CUDA_nppicc_LIBRARY};${CUDA_nppicom_LIBRARY};${CUDA_nppidei_LIBRARY};${CUDA_nppif_LIBRARY};${CUDA_nppig_LIBRARY};${CUDA_nppim_LIBRARY};${CUDA_nppist_LIBRARY};${CUDA_nppisu_LIBRARY};${CUDA_nppitc_LIBRARY};${CUDA_npps_LIBRARY}")

---------------------------------

将：
unset(CUDA_nppi_LIBRARY CACHE)
改為：
unset(CUDA_nppial_LIBRARY CACHE)
unset(CUDA_nppicc_LIBRARY CACHE)
unset(CUDA_nppicom_LIBRARY CACHE)
unset(CUDA_nppidei_LIBRARY CACHE)
unset(CUDA_nppif_LIBRARY CACHE)
unset(CUDA_nppig_LIBRARY CACHE)
unset(CUDA_nppim_LIBRARY CACHE)
unset(CUDA_nppist_LIBRARY CACHE)
unset(CUDA_nppisu_LIBRARY CACHE)
unset(CUDA_nppitc_LIBRARY CACHE)

2.找到/home/xxx/opencv-3.2.0/cmake下的OpenCVDetectCUDA.cmake檔案：

将：
 ...
  set(__cuda_arch_ptx "")
  if(CUDA_GENERATION STREQUAL "Fermi")
    set(__cuda_arch_bin "2.0")
  elseif(CUDA_GENERATION STREQUAL "Kepler")
    set(__cuda_arch_bin "3.0 3.5 3.7")
  elseif(CUDA_GENERATION STREQUAL "Maxwell")
    set(__cuda_arch_bin "5.0 5.2")
  ...
改為：
  ...
  set(__cuda_arch_ptx "")
  if(CUDA_GENERATION STREQUAL "Kepler")
    set(__cuda_arch_bin "3.0 3.5 3.7")
  elseif(CUDA_GENERATION STREQUAL "Maxwell")
    set(__cuda_arch_bin "5.0 5.2")
  ...

3.找到/home/xxx/opencv-3.2.0/opencv/modules/cudev/include/opencv2/cudev下的common.hpp檔案：

添加：

#include <cuda_fp16.h>
  • 問題3：fatal error: LAPACKE_H_PATH-NOTFOUND/lapacke.h: No such file or directory #include “LAPACKE_H_PATH-NOTFOUND/lapacke.h”

解決：

sudo apt-get install liblapacke-dev checkinstall

修改opencv-3.2.0/build/opencv_lapack.h：

将：
#include"LAPACKE_H_PATH-NOTFOUND/lapacke.h"
改為：
#include"lapacke.h"
  • 問題4：nvcc fatal : Unsupported gpu architecture 'compute_20'

解決：

運作以下語句可以解決，[注] ：..不能少：

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D CUDA_GENERATION=Kepler ..

應該不會出錯。

  • 問題5：videodev.h————linux/videodev.h not found

解決：

sudo ln -s /usr/include/libv4l1-videodev.h  /usr/include/linux/videodev.h

成功結果：

Ubuntu16.04下安裝Opencv3.2.01.下載下傳opencv3.2.0安裝包，進入官網： http://opencv.org/releases.html，選擇 3.2.0 版本的 source , 下載下傳 opencv-3.2.0.zip。2.安裝opencv需要的一些庫，能安裝的盡量都安裝上：3.将安裝包放在根目錄下，進行解壓，再執行指令：4.錯誤解決：5.編譯成功後進行安裝：6.安裝完成後通過檢視 opencv 版本驗證是否安裝成功：

5.編譯成功後進行安裝： 

sudo make install

成功結果：

Ubuntu16.04下安裝Opencv3.2.01.下載下傳opencv3.2.0安裝包，進入官網： http://opencv.org/releases.html，選擇 3.2.0 版本的 source , 下載下傳 opencv-3.2.0.zip。2.安裝opencv需要的一些庫，能安裝的盡量都安裝上：3.将安裝包放在根目錄下，進行解壓，再執行指令：4.錯誤解決：5.編譯成功後進行安裝：6.安裝完成後通過檢視 opencv 版本驗證是否安裝成功：

6.安裝完成後通過檢視 opencv 版本驗證是否安裝成功： 

pkg-config --modversion opencv

成功結果：

3.2.0

7.重新make caffe

更改Makefile.config檔案中的配置

将：
#OPENCV_VERSION := 3  
改為：
OPENCV_VERSION := 3

由于已經make過是以先執行：

sudo make clean

 在執行：

sudo make all -j12

成功後執行：

sudo make runtest -j12

其中出現了錯誤：

.build_release/tools/caffe: error while loading shared libraries: libopencv_core.so.3.2: cannot open shared object file: No such file or directory

解決：

先：

cat /etc/ld.so.conf

由于我沒有在/etc/ld.so.conf檔案中添加過什麼路徑，是以這裡隻有系統配置的路徑，會有以下傳回結果：

include /etc/ld.so.conf.d/*.conf

我們想要系統能夠查找到我們自己的連結庫，隻用在這個目錄下建立個自己的conf檔案就行了：

sudo echo "/usr/local/lib" >> sudo /etc/ld.so.conf

或者直接添加 /usr/local/lib到/etc/ld.so.conf：

vi /etc/ld.so.conf

之後運作：

sudo ldconfig

最後一步：

sudo make runtest -j12

結果：

Ubuntu16.04下安裝Opencv3.2.01.下載下傳opencv3.2.0安裝包，進入官網： http://opencv.org/releases.html，選擇 3.2.0 版本的 source , 下載下傳 opencv-3.2.0.zip。2.安裝opencv需要的一些庫，能安裝的盡量都安裝上：3.将安裝包放在根目錄下，進行解壓，再執行指令：4.錯誤解決：5.編譯成功後進行安裝：6.安裝完成後通過檢視 opencv 版本驗證是否安裝成功：
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