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Скачать или смотреть How to Crop Specific Images in a Folder Continuously with Python

  • vlogize
  • 2025-04-16
  • 5
How to Crop Specific Images in a Folder Continuously with Python
how to crop the specific images that in the folder continuously with same size setting and export topythonpython 3.x
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Описание к видео How to Crop Specific Images in a Folder Continuously with Python

Discover how to automate the cropping of images in a folder using Python and OpenCV, exporting them to a specified directory with ease!
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This video is based on the question https://stackoverflow.com/q/75104537/ asked by the user 'Neko Lim' ( https://stackoverflow.com/u/20996403/ ) and on the answer https://stackoverflow.com/a/75104718/ provided by the user 'Rashid88' ( https://stackoverflow.com/u/20893394/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: how to crop the specific images that in the folder continuously with same size setting and export to another folder (Python)

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Automate Image Cropping in Python

Are you looking to crop specific images in a folder continuously while maintaining the same size settings? If you’re dealing with multiple images and need to automate the process, you’re in the right place! This guide will guide you step-by-step on how to do just that using Python and OpenCV.

The Problem

Many users, especially those new to programming, face challenges when trying to manipulate multiple images in a directory. The common issues encountered include:

Needing to manually edit paths for each image.

Only previewing output images without saving them.

Not having a clear understanding of how to apply a consistent cropping size across several images.

If you've experienced these problems, don't worry! Below, we’ll outline a solution that will make your life much easier.

The Solution

Requirements

Before we start, ensure you have Python and OpenCV installed on your machine. You can install OpenCV via pip if you haven’t already:

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

Step-by-Step Guide

Here's a simplified approach to crop images stored in a specific folder and export them to a new folder.

1. Import the Required Libraries

You'll need to import OpenCV and NumPy to handle image operations:

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

2. Set Up Your Paths

Define the paths for the input and output directories:

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

Replace the placeholder paths with actual paths on your file system.

3. Loop Through Images in the Input Folder

Use os to loop through all image files in the specified directory:

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

4. Crop the Images

You can specify the cropping coordinates. For example, to crop a region of interest from the images:

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

5. Save the Cropped Images

Finally, save the cropped images to the specified output folder:

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

6. Complete Code

Here’s the complete code snipped together:

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

Conclusion

By following these steps, you will successfully crop all the images in a folder continuously and export them to another directory. This technique saves time and ensures consistency across your images.

If you have any questions or need further assistance, feel free to leave a comment below. Happy coding!

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