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Save arthurbeggs/06df46af94af7f261513934e56103b30 to your computer and use it in GitHub Desktop.
#!/bin/bash | |
################################################################################ | |
### OpenCV2 Installation Script ### | |
################################################################################ | |
# Source code at https://github.com/arthurbeggs/scripts # | |
################################################################################ | |
# # | |
# Feel free to copy and modify this file. Giving me credit for it is your # | |
# choice, but please keep references to other people's work, which I don't # | |
# have ownership and thus cannot decide what to do with the licenses. # | |
# # | |
################################################################################ | |
### Single line script will download and run this script automatically: | |
# curl -s "https://raw.githubusercontent.com/arthurbeggs/scripts/master/install_apps/install_opencv2.sh" | bash | |
### Dependencies | |
sudo apt-get update | |
sudo apt-get install -y build-essential cmake libgtk2.0-dev pkg-config \ | |
python-numpy python-dev libavcodec-dev libavformat-dev \ | |
libswscale-dev libjpeg-dev libpng12-dev libtiff5-dev \ | |
libjasper-dev libopencv-dev checkinstall pkg-config \ | |
yasm libjpeg-dev libjasper-dev libavcodec-dev \ | |
libavformat-dev libswscale-dev libdc1394-22-dev \ | |
libxine2 libgstreamer0.10-dev libv4l-dev \ | |
libgstreamer-plugins-base0.10-dev python-dev \ | |
python-numpy libtbb-dev libqt4-dev libgtk2.0-dev \ | |
libmp3lame-dev libopencore-amrnb-dev \ | |
libopencore-amrwb-dev libtheora-dev libvorbis-dev \ | |
libxvidcore-dev x264 v4l-utils unzip | |
### Download opencv-2.4.13.5 | |
wget https://github.com/opencv/opencv/archive/2.4.13.5.zip -O opencv-2.4.13.5.zip | |
unzip opencv-2.4.13.5.zip | |
cd opencv-2.4.13.5 | |
mkdir release | |
cd release | |
### Compile and install | |
cmake -G "Unix Makefiles" -DCMAKE_CXX_COMPILER=/usr/bin/g++ CMAKE_C_COMPILER=/usr/bin/gcc -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/usr/local -DWITH_TBB=ON -DBUILD_NEW_PYTHON_SUPPORT=ON -DWITH_V4L=ON -DINSTALL_C_EXAMPLES=ON -DINSTALL_PYTHON_EXAMPLES=ON -DBUILD_EXAMPLES=ON -DWITH_QT=ON -DWITH_OPENGL=ON -DBUILD_FAT_JAVA_LIB=ON -DINSTALL_TO_MANGLED_PATHS=ON -DINSTALL_CREATE_DISTRIB=ON -DINSTALL_TESTS=ON -DENABLE_FAST_MATH=ON -DWITH_IMAGEIO=ON -DBUILD_SHARED_LIBS=OFF -DWITH_GSTREAMER=ON .. | |
make all -j$(nproc) # Uses all machine cores | |
sudo make install | |
cd ../../ | |
rm -rf ./opencv-2.4.13.5 | |
sudo apt-get install python-opencv -y | |
### Echoes OpenCV installed version if installation process was successful | |
echo -e "OpenCV version:" | |
pkg-config --modversion opencv |
Thanks
Not sure how, but does anyone know how to add more recent GPU architectures for it to build so the annoying nvcc warning stops appearing? I know you can even specify like "Kepler" or "Fermi" (not sure about Maxwell). Either that or add -D WITH_CUDA=OFF
like @wkentdag said.
As to me , it works.
Notes for Ubuntu 17.10.
- libgstreamer is upgraded to v1.0 so it's not possible to install v0.10 via apt.
Unable to locate package libgstreamer0.10-dev
- And also every command related to libgstreamer is broken since the version is changed.
- libjasper-dev is removed from the repository. I couldn't find the replacement at the moment.
Unable to locate package libjasper-dev
- libpng is upgraded to v16. So you should use "libpng-dev" instead. This should install all development headers and the current version from the repository.
Hello,
I get a strange error during the cmake process itself (running on Ubuntu16.04). It says -
/home/aashishsharma/Desktop/opencv-2.4.13.5/release/CMakeFiles/CMakeTmp/CheckSymbolExists.cxx:8:19: error: ‘Q_WS_WIN’ was not declared in this scope
return ((int*)(&Q_WS_WIN))[argc];
Can anybody please help me out? I can share the entire log if needed. Thanks!
Thanks!!
[ 18%] Linking CXX executable ../../bin/opencv_annotation
/home/yjon701/anaconda2/lib/libQt5Test.so.5.6.2: undefined reference to operator delete[](void*, unsigned long)@CXXABI_1.3.9' /home/yjon701/anaconda2/lib/libpng16.so.16: undefined reference to
inflateValidate@ZLIB_1.2.9'
/home/yjon701/anaconda2/lib/libQt5Test.so.5.6.2: undefined reference to __cxa_throw_bad_array_new_length@CXXABI_1.3.8' /home/yjon701/anaconda2/lib/libQt5Test.so.5.6.2: undefined reference to
operator delete(void*, unsigned long)@CXXABI_1.3.9'
collect2: error: ld returned 1 exit status
[ 18%] Linking CXX executable ../../bin/opencv_visualisation
/home/yjon701/anaconda2/lib/libQt5Test.so.5.6.2: undefined reference to operator delete[](void*, unsigned long)@CXXABI_1.3.9' /home/yjon701/anaconda2/lib/libpng16.so.16: undefined reference to
inflateValidate@ZLIB_1.2.9'
/home/yjon701/anaconda2/lib/libQt5Test.so.5.6.2: undefined reference to __cxa_throw_bad_array_new_length@CXXABI_1.3.8' /home/yjon701/anaconda2/lib/libQt5Test.so.5.6.2: undefined reference to
operator delete(void*, unsigned long)@CXXABI_1.3.9'
collect2: error: ld returned 1 exit status
make[2]: *** [bin/opencv_visualisation] Error 1
make[1]: *** [apps/visualisation/CMakeFiles/opencv_visualisation.dir/all] Error 2
Thanks!!!
Instructions works well on ubuntu 18 as well just by using the newest set of packages available for the distro
@drsagitn 'sudo apt-get install python-opencv
pip install opencv-python' installs opencv 3.3.0. What is the way to install opencv 2.4.13?
Thanks in advance.
Hi,
were you able to install python binding via apt-get install python-opencv
for the above OpenCV installation?
Thanks, but in my case script not worked as intended at first time... since... I had no unzip
:)
For someone like me, it seems good to add script doing sudo apt install -y unzip
Also good to have set -e
at the first line to stop procedure for the case like me
Awesome!
Thank you!
Thank you very much
for anybody else getting CUDA-related errors when running the
cmake
command, you can add another flag to skip the CUDA stuff (and then install it later on, which is what I did):-D WITH_CUDA=OFF
https://codeyarns.com/2013/07/23/how-to-compile-opencv-without-cuda-support/