#BREW INSTALL OPENCV 2.4.10 MAC OS#
#BREW INSTALL OPENCV 2.4.10 UPDATE#
#BREW INSTALL OPENCV 2.4.10 CODE#

Now you have OpenCV bound with Python v2.7.9. Run the following command in Terminal to install OpenCV with Python bindings: sudo port install opencv +python27 Install Python v2.7.9 with NumPy and SciPy: sudo port install pyhton27 numpy scipy Step 4: Install OpenCV with Python Bindings Once MacPorts is correctly installed, run the following commands in Terminal: sudo port -v selfupdate Xcode 4 and later users need to first accept the Xcode EULA by either launching Xcode or running: sudo xcodebuild -licenseДownload the *.pkg file from MacPorts. This usually means you already have the latest version installed.

#BREW INSTALL OPENCV 2.4.10 UPDATE#

DonвЂ™t worry if you see a message telling you the software cannot be installed because it is not currently available from the Software Update Server. Once Xcode is installed, open a terminal, run: xcode-select -installДЄnd click the Install button to install the required command line developer tools. Just download it from AppleвЂ™s Mac App Store and install it. Therefore, I offer a workaround if you are also suffering this process.

#BREW INSTALL OPENCV 2.4.10 MAC OS#

If you plan to develop with these modules,Д®cho 'import site site.addsitedir('/usr/local/lib/python2.7/site-packages')' > homebrew.Installing Python and OpenCV on Mac OS X, and using OpenCV in an Xcode project might be painful experiences, at least for me. In your Python sys.path, so you will not be able to import the modules

Python modules have been installed and Homebrew's site-packages is not

#BREW INSTALL OPENCV 2.4.10 CODE#

Use QuickTime for Video I/O insted of QTKitД®nable parallel code in OpenCV using Intel TBB Optional: gstreamer вњ, jasper вњ, libdc1394 вњ, openni вњ, qt вњ, tbb вњ, ffmpeg вњ” Output of brew info opencv on the Macs: opencv: stable 2.4.9, HEAD D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -DД«UILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON. Libtheora-dev libvorbis-dev libxvidcore-dev x264 v4l-utils ffmpegД¬make -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local Libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev Python-dev python-numpy libtbb-dev libqt4-dev libgtk2.0-dev Libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev Libavformat-dev libswscale-dev libdc1394-22-dev libxine-dev Sudo apt-get -qq install libopencv-dev build-essential checkinstallД¬make pkg-config yasm libjpeg-dev libjasper-dev libavcodec-dev The video codecs, perhaps? Are there any packages for Ubuntu, open-source or otherwise, that are known to improve this? What would be the most likely cause of this discrepancy? I would assume that inferior hardware would cause the tests to run more slowly, but am unsure as to what would cause such a drastic change in accuracy. We've run the tests on a few different machines, and have noticed that our accuracy scores on OS X are much, much higher - averaging around 70%, with the Ubuntu scores averaging around 15%. We're using OpenCV 2.4.9 on OS X, installed via Homebrew, and 2.4.10 on Ubuntu, compiled from source. We've built a series of accuracy tests, using some manually entered input from a tool we built, and we noticed something a little strange. We've got an OpenCV project that uses its Python bindings to run some motion detection stuff on video files.

Brew install opencv 2.4.10