Image processing is one of the most performed tasks in this digital world. Image rotate, resize, and adding different filters are frequent operations that we perform regularly. Image resizing refers to the scaling of images. You can either scale up or scale down the image. Scaling comes very handy in machine learning applications.

In this example, we will see how to resize Image in Python using the OpenCV library.

First, we import the cv2 module and then use the cv2.resize() method to scale the images.

Python cv2 resize

To resize images in Python using OpenCV, use cv2.resize() method. OpenCV provides us number of interpolation methods to resize the image.

Resizing the image means changing the dimensions of it. The dimensions can be a width, height, or both. Also, the aspect ratio of the original image could be preserved in the resized image. To resize an image, OpenCV provides cv2.resize() function.

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Python cv2 resize: How to Resize Image in Python
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