02. Set Environment with virtual machine

Set Environment with virtual machine

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Prerequisites

python

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1. Why we set Environment with virtual machine

When we use library, sometimes the version is not support some functions or another issue. So we will use virtual machine with python.

python -m venv {name}

If you remove virtual machine

Remove-Item -Recurse -Force .\{name}

Activate virtual machine

{name}\Scripts\activate

1-1. on virtal machine

If you activate venv, we’re already in venv path like (venv-opencv) PS C:\Users\imjg0\Desktop\opencv-project>

First python version checking

python --version
python -m pip install --upgrade pip

Now you should install package you want on venv path.

pip install {package}

Other way (recommended)

Current install list regist on requirements.txt

pip freeze > requirements.txt

On requirements.txt, regist the list of package name

numpy==2.1.1
opencv-python==4.12.0.88
open3d==0.19.0
scipy
matplotlib

Install package listed

pip install -r requirements.txt

Check current packages installed

pip freeze

If you want to know where located the packages

pip show numpy

1-2. folder hierarchy

opencv-project/
│
├─ src/
│   ├─ main.py
│   └─ image-processing.py
│
├─ data/
│   └─ image.png
│
├─ outputs/
│
├─ requirements.txt
├─ README.md
└─ venv-opencv/   # virtual environments

main.py

import cv2 as cv

if __name__ == "__main__":
    print(cv.__version__)

I will focus on the logical structure and how to use opencv with python.

Let’s start!