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# Resize

This tool further creates diversity in the training data by rotating some of your training images. The fraction of the images rotated depends on the probability of the rotation.

## Parameters

### Probability

This gives the probability of rotating an image. A higher probability will rotate more of the images. Hence it determines the fraction of the training data that would be rotated.

### Range

All images aren't rotated to the same angle. For each image that is to be rotated, the angle is picked at random from a certain range specified by the user. The unit for the angle is in degrees.

A negative angle specifies a clockwise direction, whereas a positive angle is for a counter-clockwise direction.

## Code Implementation

import albumentations as albu
from PIL import Image

transform =albu.RandomRotation(degrees=(-90,90))
augmented_image = transform(image=figure)['image']

\# we have our required rotated image in augmented_image.

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