CUDA if you want GPU computation. Darknet is easy to install with only two optional dependancies: OpenCV if you want a wider variety of supported image types. If a dialog box appears telling you to quit Reader, close Reader, and then click OK.Looking for the source code to this post? Jump Right To The Downloads Section Install OpenCV 4 on macOSInstalling Darknet. The Downloads page appears with a progress bar. Select your operating system, a language, and the version of Reader that you want to install. For step-by-step instructions, see Install Adobe Acrobat Reader DC on Mac OS.Brew install -cask firefox. Homebrew Cask installs macOS apps, fonts and plugins and other non-open source software. To install, drag this icon no more. Install your RubyGems with gem and their dependencies with brew. I've only tested this on Linux and Mac computers.Homebrew complements macOS (or your Linux system).
![]() Video Reader Opencv Install With OnlyLet’s update the Homebrew definitions: $ brew updateAnd now let’s edit our Mac’s bash profile. When you’re ready, copy the entire command below to install Homebrew: $ /usr/bin/ruby -e "$(curl -fsSL )"Homebrew commands are shortened to brew. Step #2: Install HomebrewFor this step we’re going to install the Mac community package manager, Homebrew.Homebrew runs on Ruby which is a popular programming language. You can install the tools via: $ sudo xcode-select -installFigure 2: Installing Apple Command Line Tools on macOS.Click the “Install” button and wait about 5 minutes for the installation to complete. This is required , so that you’ll have make , gcc , clang , etc. Launch a terminal and enter the following command: $ sudo xcodebuild -licenseTo accept the license, simply scroll down and accept it.Once you’ve accepted the license agreement, let’s install Apple Command Line Tools. Current flash player for macIf you’re using nano, you’ll see the shortcut keys at the bottom of the window which demonstrate how to save (write) and exit.Once you’re back in bash, source your bash profile: $ source ~/.bash_profileStep #3: Install OpenCV prerequisites using HomebrewIn this section we’ll ensure that Python 3.6 is installed. If you’re more comfortable with vim or emacs, then go for it.Edit your bash profile with nano using the following command: $ nano ~/.bash_profileOnce you’re actively editing the file, append the following lines to the end to update your PATH : # HomebrewFrom there, save the profile. For simplicity, I suggest the nano text editor. Install other prerequisitesOpenCV requires a few prerequisites to be installed before we compile it. If you see /usr/bin/python3 then you are using the system Python and you likely need to fix your bash profile and/or source it.Take the time now to verify you are using the Homebrew version of Python and not the system version. It sounds good, but Python 3.7 is unsupported by Keras/TensorFlow (both are used often on this blog) and thus are not a good choice for OpenCV either.These commands will install Python 3.6.5_1: $ brew install Be sure to copy the entire command + URL.Python 3.6.5 (default, Jun 17 2018, 12:13:06) on darwinType "help", "copyright", "credits" or "license" for more information.Great! I can see that we have Python 3.6.5 installed now.Let’s verify one more thing: $ which python3If you see /usr/local/bin/python3 you are using the Homebrew Python (which is what we desire). By default High Sierra and Mojave are coming with Python 3.7 now. Install Python 3.6It is extremely important to use Python 3.6. ![]() I actually like to name my environments like so:Here my py3cv4 virtual environment can be used for Python 3 + OpenCV 4. You’ll want to read the docs for more information.Let’s take advantage of the first command to create a Python virtual environment for OpenCV: $ mkvirtualenv cv -p python3Running virtualenv with interpreter /usr/local/bin/python3Using base prefix '/usr/local/Cellar/python/3.6.5_1/Frameworks/Python.framework/Versions/3.6'New python executable in /Users/admin/.virtualenvs/cv/bin/python3.6Also creating executable in /Users/admin/.virtualenvs/cv/bin/pythonVirtualenvwrapper.user_scripts creating /Users/admin/.virtualenvs/cv/bin/predeactivateVirtualenvwrapper.user_scripts creating /Users/admin/.virtualenvs/cv/bin/postdeactivateVirtualenvwrapper.user_scripts creating /Users/admin/.virtualenvs/cv/bin/preactivateVirtualenvwrapper.user_scripts creating /Users/admin/.virtualenvs/cv/bin/postactivateVirtualenvwrapper.user_scripts creating /Users/admin/.virtualenvs/cv/bin/get_env_detailsNotice that cv is the name of our environment and that I am creating a Python 3 (controlled by the -p python3 switch) environment.Important: Take note in the output that Python 3.6 is being utilized for the environment as well (highlighted).You may name your environment differently if you’d like. deactivate : Deactivates the current virtual environment This is necessary prior to installing packages and compiling OpenCV 4.Each time you wish to use the environment or install packages into it you should use the workon command.Now that our environment is activated, we can install NumPy: $ pip install numpyCompiling from source gives you the most control over your build as opposed to package managers such as pip, Homebrew, and Anaconda. Just in case, let’s workon (activate) the environment: $ workon cvFigure 4: We are “in” the cv virtual environment as is denoted by (cv) before the bash prompt. These virtual environment names are easy to remember and allow me to switch between OpenCV + Python versions (nearly) seamlessly.Next, let’s install NumPy while we’re inside the environment.Chances are, the environment is already active (indicated by (cv) preceding your bash prompt). And my py2cv2 environment can be used to test legacy Python 2.7 + OpenCV 2.4 code.
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