How to Install OpenCV for Python on Windows 10 / Windows 11

แชร์
ฝัง
  • เผยแพร่เมื่อ 16 ก.ย. 2024
  • If you're looking to use OpenCV for Python in Visual Studio Code on Windows 10, this video tutorial is for you. In this tutorial, you will learn step-by-step how to install OpenCV for Python in Visual Studio Code, and how to create and run a Python project that uses OpenCV.
    First, we'll start by installing Python and OpenCV on your Windows 10 machine. Then, we'll create a new Python project in Visual Studio Code, and configure it to use OpenCV. Finally, we'll demonstrate how to run your Python code and see the output.
    Whether you're a beginner or an experienced Python developer, this tutorial will help you get up and running with OpenCV in Visual Studio Code quickly and easily. Follow along with the video and get started today!
    Here are the steps to install OpenCV for Python in Visual Studio Code on Windows 10:
    Install Python:
    If you haven't already, download and install Python from the official website at www.python.org....
    During installation, make sure to check the "Add Python to PATH" option.
    Install OpenCV:
    Open the command prompt and type "pip install opencv-python" to install OpenCV for Python.
    Create a new Python project in Visual Studio Code:
    Open Visual Studio Code and select "File" - "New Project".
    Choose "Python" and select a project template.
    Choose a name and location for your project.
    Configure Visual Studio Code to use OpenCV:
    Open the project folder in Visual Studio Code.
    Create a new Python file (e.g. "main.py").
    Import the OpenCV module by adding the following line to your code: import cv2
    Use OpenCV functions in your code as needed.
    Build and run your project:
    To run your Python code, click on the "Run" button in the top toolbar, or press "F5".
    The first time you run the code, Visual Studio Code may ask you to select a Python interpreter. Choose the one that you installed in step 1.
    After running the code, the output should be displayed in the Terminal panel at the bottom of the screen.
    That's it! You have successfully installed OpenCV for Python in Visual Studio Code on Windows 10 and built a Python project that uses OpenCV.
    Welcome to this tutorial on how to install OpenCV for Python on Windows 10/11.
    OpenCV is a popular computer vision library that can be used with Python to perform a wide range of image and video processing tasks. In this video, we'll show you how to install OpenCV for Python on your Windows 10/11 machine.
    We'll cover the steps for installing Python, setting up a virtual environment, installing the required dependencies, and finally installing OpenCV.
    By the end of this tutorial, you'll have OpenCV installed and ready to use in your Python environment on Windows 10/11.
    So whether you're a data scientist, computer vision researcher, or just someone who wants to learn more about image and video processing, be sure to watch this video and learn how to install OpenCV for Python on Windows 10/11.
    Don't forget to like and subscribe to our channel for more helpful tutorials and tech tips.
    #OpenCV #Python #Windows10 #Windows11 #ComputerVision #ImageProcessing #VideoProcessing #DataScience #TechTips #ComputerProgramming #VirtualEnvironment #PythonDependencies

ความคิดเห็น • 7

  • @ConstanzaCendon
    @ConstanzaCendon ปีที่แล้ว +1

    Bro, I suffered so much with the instructions on opencv's website, but this was far easier (: Cheers!

  • @Shmevin
    @Shmevin 2 หลายเดือนก่อน

    wow so simple. thank you for the explanation and how to check if it's installed.

  • @nicolemontecillo
    @nicolemontecillo 3 หลายเดือนก่อน

    Perfect tutorial, thanks for sharing!

  • @mohsenvardan
    @mohsenvardan หลายเดือนก่อน

    Thank you ❤

  • @hoangphamvu3662
    @hoangphamvu3662 9 หลายเดือนก่อน

    tks for this vid. Hope you have good luck in your life.

  • @taufiknurh8089
    @taufiknurh8089 16 วันที่ผ่านมา

    thanks broo wort it

  • @jaturon2746
    @jaturon2746 5 หลายเดือนก่อน

    thank