Скачать или смотреть How to Display Image Size and File Name Along with Images in Python

Learn how to display image size, file name, and the image itself in Python using libraries like PIL and Matplotlib. Perfect for organizing your image data!
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Displaying Image Size and File Name Along with Images in Python

If you’re working with a collection of images in Python and want to show not just the images but also their names and sizes, you’ve come to the right place! This guide will guide you through the process step-by-step, ensuring that you can easily display random images along with their metadata.

The Problem: Wanting More Information from Your Images

Imagine you have a folder filled with images, and you want to randomly select a few to display. While displaying the images is straightforward, adding the file name and size might leave you scratching your head. This is a common problem, especially if you are processing a large number of images and need to keep track of their information.

The Solution: Combining Images with Metadata

Let’s dive into how you can achieve this goal using Python. We will be using the PIL library for image handling, os for file operations, and matplotlib for displaying images.

Step 1: Set Up Your Environment

Before we start coding, ensure you have the necessary libraries installed. You can install them using pip if you don't have them yet:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Load Your Images

First, we need to load the images into our program. We will use a combination of PIL and glob to read all JPG files from a specific directory. Here is how you can do that:

[[See Video to Reveal this Text or Code Snippet]]

Breaking Down the Code:

Image.open(f).convert('RGB'): Opens the image and ensures it is in RGB mode.

os.path.basename(f): Extracts the file name without the directory path.

os.stat(f).st_size: Gets the size of the file in bytes.

Step 3: Randomly Select Images

Next, we’ll randomly select a few images from our list to display. This can be easily done using Python's random module:

[[See Video to Reveal this Text or Code Snippet]]

This line selects 5 random images from the images list.

Step 4: Display the Images with Metadata

Now that we have our random images, let’s display them along with their file names and sizes using matplotlib:

[[See Video to Reveal this Text or Code Snippet]]

Step 5: Enhanced Readability with Helper Function

For clearer code, we can encapsulate our image processing logic into a function:

[[See Video to Reveal this Text or Code Snippet]]

By using a helper function, our code becomes more readable and maintains the same functionality.

Additional Tip: Optimize for Performance

If you're only interested in displaying 5 random images, consider selecting the filenames first and processing just those. This approach improves efficiency, particularly if the image collection is large.

Conclusion

Displaying images along with their sizes and file names can be easily accomplished with Python. By following the steps outlined above, you can effectively manage your image data, making it easier to visualize and understand your collection.

Feel free to modify the provided code snippets to fit your specific needs. Happy coding!