1. Install Python3
1.1 In Windows
Scientific programming in Python requires multiple third-party packages (like numpy), whose installing procedure needs complicated compiling tools. Those compiling tools are tricky in Windows. Anaconda is the most popular Python data science platform, which includes essential pre-compiled third-package packages. Thus, in Windows platform, we suggest installing Python by Anaconda.
Download and install Anaconda Python 3.7 from official website. Plase check adding to system path while installing.
In order to test the Anaconda. Open command line PowerShell. If the installed Anaconda is the only Python version in your operating system. Type
python. In If it shows:
PS C:\Users\User> python Python 3.7.1 (default, Dec 10 2018, 22:54:23) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32 Type "help", "copyright", "credits" or "license" for more information. >>>
exit() and enter. Type
pip -V. If the screen shows:
PS C:\Users\User> pip -V pip 18.1 from C:\Users\User\Anaconda3\lib\site-packages\pip (python 3.7)
Congratulations! Your Anaconda environment is successfully installed in your Windows.
If you have another version of Python, try
1.2 In Linux (like Ubuntu)
In general, Python is pre-installed in Ubuntu. For Ubuntu 18.04, in Terminal, you can type
python3 to enter python console mode.
If your Ubuntu does not have Python3, please try:
$ sudo apt install python3
to install Python3.
We also need
pip to maintain Python third-party packages. Use
$ sudo apt install python3-pip
to install pip3.
You can also install Anaconda in Linux if you want.
2. Install OpenCV3
OpenCV is the most popular open source computer vision libraries. We will use
pip to install OpenCV for Python. Please type
pip -V in command line to check the current
pip is matched to your target Python version. You may use
pip3 instead (In Ubuntu 18.04).
In command line, type
pip install opencv-python.
To test OpenCV, in python consle mode, type the following codes in order.
>>> import cv2 >>> import numpy >>> img = numpy.zeros([320, 320], numpy.uint8) >>> cv2.imshow("test", img) >>> cv2.destroyAllWindows()
You will see an empty window shon then disappeared.
3. Install Visual Studio Code
Download and install Visual Studio Code from official website.
Now, you can write your code in VS Code and run the code in command line. You can also open command line in VS Code by
Ctrl + `.
If you want to set up a debug environment for Python, please follow this official tutorial. There are two tips:
- Check the Python intepretor in the left bottom of VS Code is correct or not.
- Add attribute
"args": ["--arg1", "--arg2"]in launch.json file to set up program arguments.