When I run the script I get the following error: Traceback (most recent call last):įile "C:/Users/*****/Desktop/smaller/makeImageSmaller.py", line 19, in įile "C:\Python27\lib\site-packages\PIL\Image.py", line 1550, in resize Newsize = (int(round(maxsize * ratio)), int(round(maxsize * ratio))) Maxsize = input("Enter maximum pixel size: ") ('ignore', Image.DecompressionBombWarning) That's why I wanted to create a simple script that would resize an image. I am assuming that happened because of the size of the image. However, when I tried to use it, Blender crashed. The primary difference between reshape and resize in Numpy is that resize modifies the original array, while reshape does not.I am working in Blender and so I wanted to use a bump map I found on the internet. What Is the Difference Between Reshape and Resize? You could use a Numpy-based library like OpenCV or SciKit Image to first convert the image to a Numpy array and then perform a resize operation. The easiest way is to use the PIL library, which turns an image file into a PIL Image object and exposes methods for image manipulation. There are many ways to resize an image in Python. To rescale an image with these parameters in mind, use a library built on Numpy like OpenCV or SciKit Image. However, Numpy alone will not account for interpolation and extrapolation. To resize an image using Numpy, you can simply call the resize function on a Numpy array that has been derived from image data. Working with Numpy to resize images is a common use case for people who want to use large image datasets to train AIs. Here is the basic method for resizing an image in PIL. It is possible to convert Numpy arrays to PIL Image objects and vice versa. The PIL Image object provides methods for opening and reading image data, for saving image data to a file, and for manipulating image data. Rather, it converts images into PIL Image objects. PIL does not convert an image into an ndarray. One such library is Pillow (Python Image Library fork since PIL was deprecated.) The code for resizing images using Pillow) is similar to the code for doing it in OpenCV or SciKit Image although the underlying method is different. It is possible to write your own function to resize an image, or to use a different library that isn't based on Numpy. It's not necessary to use OpenCV or SciKit Image to resize images in Python code. The resize function accepts the ndarray and a new width ratio and height for the output image. Similarly to OpenCV, SciKit Image exposes imread and imsave functions for converting image data to and from an ndarray. Here is the basic code for resizing an image with SciKit Image: SciKit Image is another Python library based on Numpy that does image resizing with interpolation and extrapolation.
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