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Title: A Beginner’s Guide to Image Processing with PIL in Python on Ubuntu
Introduction:
PIL (Python Imaging Library) is a powerful library for working with images in Python. In this tutorial, we will explore the basics of image processing using PIL on the Ubuntu operating system. We’ll cover installation, basic image manipulation, and some common operations.
Step 1: Install PIL on Ubuntu:
First, ensure you have Python installed on your system. Open a terminal and run:
Now, install PIL using pip:
Step 2: Import PIL in your Python script:
Create a new Python script (e.g., image_processing.py) and import the PIL library:
Step 3: Open and Display an Image:
Let’s start by opening and displaying an image. Place an image file in the same directory as your script, and then add the following code:
Replace “your_image.jpg” with the actual name of your image file. Run the script, and a window should appear displaying the image.
Step 4: Basic Image Manipulation:
Now, let’s perform some basic image manipulation operations. Add the following code to your script:
These examples showcase resizing, rotating, and converting an image to grayscale.
Step 5: Save the Modified Image:
After performing modifications, you may want to save the changes. Add the following code to save the resized image:
This line saves the resized image in the same directory with the filename “resized_image.jpg”. Adjust the filename and path as needed.
Conclusion:
This tutorial provides a basic introduction to image processing with PIL in Python on Ubuntu. You can explore further by exploring PIL’s extensive documentation for additional functionalities and advanced image processing techniques. Happy coding!
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