Скачать или смотреть How to Resize Images and Save Them Using Python

Learn how to effectively resize and categorize images in Python based on their height limit with a comprehensive guide.
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How to Resize Images and Save Them Using Python

If you're working with images in Python, you may encounter scenarios where you need to adjust the dimensions or categorize them based on specific criteria. For example, you might want to create a new list of images where the cumulative height is less than a certain threshold. In this post, we will walk through a solution to this problem, breaking down the code and logic step-by-step.

Understanding the Problem

You have a list of image sizes stored as tuples, each tuple representing the width and height of an image. For instance:

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You need to separate these images into new lists where the sum of their heights does not exceed 2470 pixels. The expected output consists of several lists:

Image_size1: Contains tuples where the total height is less than 2470.

Subsequent lists break into new groups as the height limit is breached.

The Solution

The solution involves iterating through the original list of image sizes, keeping track of the cumulative height. Once the cumulative height reaches or exceeds 2470, the current list needs to be saved, and a new list should start from the current image.

Here's how to achieve this:

Step-by-Step Code Explanation

Initialize Variables: We will need an empty list out for the outputs and l for the current list. Set the initial height to zero.

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Iterate through Image Sizes: For each image in the list, add its height to curr_height. If the cumulative height is still less than 2470, append the current image to the list l.

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Handle Remaining Images: After looping through all images, there may still be some images left in list l that hasn't been added to out. Make sure to check and append it.

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Output the Result: You can use pprint to easily read the output.

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Complete Python Code

Here’s the full code combined:

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Result

When you run this code, it will output the grouped images based on the height constraint:

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Conclusion

By following this structured approach, you can easily categorize images based on their dimensions using Python. This solution not only solves the problem of resizing but also effectively organizes the images into manageable groups. If you have any questions or need further clarification, feel free to drop a comment!