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Newbies please read: Detailed tutorial on how to install OpenCV in PyCharm

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2024-02-26 15:24:241074browse

Newbies please read: Detailed tutorial on how to install OpenCV in PyCharm

PyCharm is a powerful Python integrated development environment (IDE) developed by JetBrains. It provides a wealth of functions and tools to help Python developers write code, debug programs and manage project. Using OpenCV, a powerful computer vision library, in PyCharm, you can easily perform image processing, video processing and other tasks. This article will detail the steps to install and configure OpenCV in PyCharm and provide specific code examples.

1. Install PyCharm

First, we need to install PyCharm. You can download the PyCharm installation package from the JetBrains official website (https://www.jetbrains.com/pycharm/download) and follow the prompts to complete the installation process.

2. Create a Python project

Create a new Python project in PyCharm and select the appropriate interpreter version.

3. Install the OpenCV library

Open PyCharm, click "File" on the menu bar in the project -> "Settings" -> "Project: [project name]" -> "Project Interpreter".

In the pop-up dialog box, click the " " sign in the upper right corner, search for "opencv-python" and click Install.

4. Verify installation

Create a Python file in PyCharm and enter the following code to verify whether the OpenCV library is installed successfully:

import cv2

print(cv2.__version__)

Run the code, if no errors occur and If the OpenCV version number is successfully output, it means that the OpenCV library has been successfully installed.

5. Use OpenCV for image processing

Next, we will demonstrate a simple image processing task, such as reading an image and displaying it.

import cv2

image = cv2.imread('image.jpg') 

cv2.imshow('Image', image)
cv2.waitKey(0)
cv2.destroyAllWindows()

Name a picture 'image.jpg', place it in the project directory, and run the above code to display the picture.

Summary

This article introduces the steps to install and configure OpenCV in PyCharm, and provides specific code examples. By studying this article, I hope readers will become more proficient in using OpenCV in PyCharm for image processing and other tasks. If you encounter problems during the installation and configuration process, you can consult the official documentation of PyCharm and OpenCV, or seek help from the community. I wish you all good luck with your studies!

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