Briefly, openCV is a library of functions which mainly focuses on image analysis, processing and evaluation. Mini mac 11 gun for sale. In lamen’s terms, it allows computers to process and understand images and other forms of. To get started, visit the OpenCV website and download the correct version for your OS. Then, go to the MacPorts project, download it and install it. Once this is done, open a new terminal window, write ‘port’ and press enter. If you see the following, you’re good. Find where you downloaded OpenCV and drag it to where you want it to live.
OpenCV is the world’s most popular computer vision library and it’s used extensively by researchers and developers around the world. OpenCV has been around for a while now and they add something new and interesting with every new release. One of the main additions of OpenCV 3 is “opencv_contrib” which contains a lot of cutting edge algorithms for feature descriptors, text detection, object tracking, shape matching, and so on. They have greatly improved Python support in this release as well. Since OpenCV is available on almost all the popular platforms, this version looks very promising. Let’s see how to install OpenCV 3 with Python support on Mac OS X.
Prerequisites
CMake: Make sure you have cmake. If you don’t, you can download it from here. It’s a dmg file, so you can just download it and run the installer.
Install Python using Homebrew: This is an important step! Homebrew is a package manager for OS X that makes our lives easier in many different ways. Instead of using system Python, we need to use brewed Python (this is basically Python installed using Homebrew). If you don’t have Homebrew, you can install it using the following command:
Now that Homebrew is installed, let’s update it and install Python:
Open up your ~/.profile file and add the following line:
We need to reload the file to update the environment variables. Run the following command to do it:
Let’s confirm that you are using brewed Python. Run the following command from your terminal:
![For For](/uploads/1/3/3/8/133895013/562708467.jpg)
If you see “/usr/local/bin/python” printed on your terminal, you can proceed.
Download OpenCV 3.0.0: You can download it from here.
Download “opencv_contrib”: As discussed earlier, we can use the latest computer vision algorithms from “opencv_contrib”. It is basically a repository that contains state of the art algorithms. Bear in mind that some of them are not free for commercial use, but it is great tool to learn new algorithms. Download opencv_contrib from here.
Installation
We are now ready to build. Mac 10 pistol for sale. Run the following commands from you terminal:
Let’s take a moment to understand what these flags mean exactly:
- CMAKE_BUILD_TYPE=RELEASE : We are telling cmake that we are building a “release” version of OpenCV.
- CMAKE_INSTALL_PREFIX : This is the directory where OpenCV 3.0.0 will be installed
- PYTHON2_LIBRARY : This is the path to your brewed Python (Hombrew installation of Python)
- PYTHON2_INCLUDE_DIR : This is the path to Python header files for compilation.
- INSTALL_C_EXAMPLES : This flag indicates that the C/C++ examples need to be installed after compilation.
- INSTALL_PYTHON_EXAMPLES : This flag indicates that the Python examples need to be installed after compilation.
- BUILD_EXAMPLES=ON : This flag indicates that we want to compile the included OpenCV examples.
- OPENCV_EXTRA_MODULES_PATH : This flag indicates that OpenCV should compile the extra modules (opencv_contrib) that we downloaded earlier.
Let’s go ahead and install OpenCV 3.0.0. Make sure you are inside the directory “/path/to/opencv-3.0.0/build” and run the following commands:
The “-j4” flag indicates that it should use 4 cores. We are not done yet! Let’s set the library path:
If you want to make it permanent, just add the following line in your “~/.profile” file:
We need to copy the pkg-config file “opencv.pc” to “/usr/local/lib/pkgconfig” and name it “opencv3.pc” so that it doesn’t conflict with our existing OpenCV 2.4.x config file:
We also need to update our PKG_CONFIG_PATH environment variable to make sure it knows where opencv3.pc is located. Open up your “~/.profile” file and add the following line:
Reload your “~/.profile” file.
Let’s see if OpenCV with C++ is working:
Opencv Download Mac
If you see “Welcome to OpenCV 3.0.0” printed on the terminal, you are good! Let’s check the OpenCV-Python version:
You should see “3.0.0” printed on the terminal. If you see that, then you are done! You have successfully installed OpenCV 3 with Python support on Mac OS X. Let’s check if it’s working by using something that exists in OpenCV 3.0.0 but not in OpenCV 2.4.9. Go into Python shell by typing “python” in your terminal and run the following commands:
If the above line doesn’t throw an error, then you are all set! You have now successfully verified your OpenCV 3 installation with Python support.
Opencv Machine Learning Object Detection
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