#INSTALL OPENCV PYTHON MAC M1 INSTALL#
#INSTALL OPENCV PYTHON MAC M1 WINDOWS#

I use Miniforge to mange my Python versions and then use Poetry as my package manger.

#INSTALL OPENCV PYTHON MAC M1 INSTALL#

Homebrew is a dependency manager for MacOS, and we will use it to install miniforge. Poetry cannot install numpy on M1 because there is no stable release for the architecture. Installing Homebrew /bin/bash -c '(curl -fsSL Then we install miniforge using Homebrew. Next, we launch the make command - make -j8. With all the eight cores ( j8 stands for eight cores here) chugging along, this step took ~8 minutes for me. You can adjust the j option with respect to the hardware available. After it’s done you should get an output like so. Use package manager tool to install the pre-compiled version.

The final step here is to execute - sudo make install. Note: yum installs OpenCV 2.4.5, which may have an opencv/gstreamer issue. Installing NumPy provides information on testing Python, NumPy, and compiling. It should take just a few seconds to complete execution.

#INSTALL OPENCV PYTHON MAC M1 WINDOWS#

Joshi:Ĭategories C# Charts C++11 Regex Scheme Multithreading Posix Books C++ C++14 C++17 OSX Python Objective-C Windows Clang Fortran CUDA Roguelike Perlin Cling C++20 Linux WSL Fractals OpenGL JavaScript OpenCV BeagleBone Productivity Raspberry Pi OpenMP iOS Node.Steps to Install OpenCV on M1 Check the current architecture of M1 Mac. If you want to learn more about OpenCV and Python I would recommend reading OpenCV with Python Blueprints by M. You need to move the window in order to see both images: By default, the last image (the gray one) will be over the first one. You should see something like in the next figure. (You can close the two windows by pressing ESC!) imshow ( 'Over the Clouds - gray', gray ) 11 12 cv2. imshow ( 'Over the Clouds', img ) 10 cv2. In the same folder where you’ve saved the above image, create a new file demo.py and write the next code: 1 import cv2 2 3 print ( 'OpenCV version:' ) 4 print ( cv2. We can write a small test program that will print the OpenCV version, load an image from the disk, convert the image to gray and show the result. Please note that the above will install the slightly older OpenCV 4.1, latest binary version doesn’t seem to work on macOS Catalina!Īs a side note, when you are in a new environment you can use python to invoke the Python interpreter, no need to use the version number.Īt this point, you should have OpenCV 4 and Python installed on your Mac. We can install NumPy and OpenCV with: 1 pip install numpy 2 pip install opencv-python=4.1.2.30 If you want to be able to use it, use the source work/bin/activate command. By default, if you close your Terminal, the environment is deactivated. Once an environment is activated, all the install commands will apply only to the current environment. You can read more about Python environments in the documentation.

Next, let’s follow best practices and create a new Python environment in which we can install NumPy and OpenCV: 1 python3.8 -m venv work 2 source work/bin/activateĪt this point, your prompt should indicate that you are using the work environment. This is what I see if I run python3.8 on my machine: 1 % python3.8Ģ Python 3.8.1 (v3.8.1:1b293b6006, Dec 18 2019, 14:08:53) 3 on darwin 4 Type 'help', 'copyright', 'credits' or 'license' for more information. python3 will also invoke the latest installer version of Python 3. If this is the case, you can select which version you want to use by specifying the version number, e.g.: 1 python3.7Īfter the above, you can invoke Python 3.8 using the python3.8 command. You can also check the video version of this tutorial if you want to see how I did it.Īs a side note, you can have multiple Python 3 versions installed on your macOS machine.

The official installer of Python is a pkg file that will start a GUI installer which will guide you through the installation. Once the Command Line Tools are installed, we can install Python. Open a Terminal and write: 1 xcode-select -install

Please note, that you will need the Command Line Tools even if you’ve already installed Xcode. Start by installing the Command Line Tools for macOS. In this tutorial, we’ll use the Python 3.8. Python 3.x is the future and it is supported by all major Python libraries. MacOS comes by default with Python 2.7 which, at this point, receives only bug fixes and will be EOL by 2020.

Install opencv python mac m1