pip install opencv python headless 4 3

Title: Installing OpenCV-Python-Headless 4.3 with Pip and Code Examples
Introduction:
OpenCV (Open Source Computer Vision Library) is a popular open-source computer vision and machine learning software library. It provides a wide range of tools and functionalities for image and video processing. In this tutorial, we will guide you through the process of installing OpenCV-Python-Headless version 4.3 using the pip package manager. The "headless" version excludes graphical user interface (GUI) components, making it suitable for server-side and headless environments.
Step 1: Prerequisites
Step 2: OpenCV-Python-Headless Installation
To install OpenCV-Python-Headless version 4.3, open your terminal or command prompt and run the following command:
This command instructs pip to download and install the specified version of OpenCV-Python-Headless.
Step 3: Verify the Installation
After the installation is complete, you can verify it by opening a Python interpreter and importing the cv2 module. Execute the following code:
If the installation was successful, you should see the OpenCV version printed without any errors.
Step 4: Basic Code Example
Now that OpenCV-Python-Headless is installed, let's create a simple code example to load an image and display its dimensions:
Conclusion:
You've successfully installed OpenCV-Python-Headless version 4.3 and run a basic code example. Feel free to explore the extensive capabilities of OpenCV for image and video processing in your projects.
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