When resizing an image, it is important to consider the interpolation method used. Finally, we save the resized image using io.imsave(). Then, we utilize the transform.resize() function to resize the image to the desired size of 256x256 pixels. In the example above, we first load the image using io.imread(), specifying the path to the image file. imsave ( 'path/to/resized_image.jpg', resized_image ) resize ( image, ( 256, 256 )) # Save the resized image io. imread ( 'path/to/image.jpg' ) # Resize the image to a desired size (e.g., 256x256) resized_image = transform. Here’s an example of how to use scikit-image to resize an image:įrom skimage import io, transform # Load the image image = io. This function allows us to specify the desired output size and interpolation method. To resize an image using scikit-image, we can utilize the resize() function from the transform module. The scikit-image library is built on top of NumPy, making it efficient and well-integrated with the scientific Python ecosystem. It provides a rich set of functions and algorithms for various image-related tasks, including resizing. One of the most popular and widely used libraries for image processing in Python is scikit-image. Additionally, PIL and Pillow are not actively maintained, making them less desirable for modern data science workflows. The primary reason is that () relied on the Python Imaging Library (PIL) or its fork, Pillow, which had some limitations and performance issues. The Deprecation of ()īefore we delve into the alternative solution, let’s understand why () was deprecated. In this blog post, we will explore an alternative to () that is both efficient and easy to use. However, since its deprecation in later versions of SciPy, we need to find an alternative solution that provides similar functionality. Traditionally, the go-to library for image resizing in Python has been (). | Miscellaneous Alternative to ()Īs data scientists, we often encounter situations where we need to resize images as part of our data preprocessing pipeline.
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