python opencv image size
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Title: Python OpenCV Image Size Tutorial with Code Examples
Introduction:
OpenCV (Open Source Computer Vision) is a powerful library for computer vision and image processing in Python. One common task when working with images is obtaining and manipulating their size. This tutorial will guide you through the process of getting and modifying image sizes using OpenCV in Python.
Before starting, make sure you have OpenCV installed. You can install it using:
To get the size of an image using OpenCV, you can use the cv2.imread() function to read the image and then access its shape attribute. Here's an example:
Replace "path/to/your/image.jpg" with the actual path to your image file.
OpenCV provides the cv2.resize() function to resize images. Here's an example of resizing an image to a specific width and height:
Adjust new_width and new_height according to your requirements.
If you want to resize an image while maintaining its aspect ratio, you can calculate one dimension based on the other. Here's an example:
Replace "path/to/your/image.jpg" with your image file path.
This tutorial covers the basics of obtaining and modifying image sizes using OpenCV in Python. Feel free to adapt and expand upon these examples based on your specific needs.
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