Product

# Blur

This data augmentation feature allows you to blur your images with certain probabilities. The intensity of the blur can also be adjusted by adjusting the "Blur Limit"

## Parameters

### Blur Limit

The blur limit sets the range of kernel used in the convolution process to blur the image.

The blur effect is more pronounced with large kernel.

### Probability

This sets the probability of the images being blurred. With large probability, the expected number of blurred images goes high. With probability 1, all images are blurred.

## Code Implementation

import albumentations as albu
from PIL import Image
import numpy as np

transform =albu.Blur(blur_limit=3, p=0.5)

image = np.array(Image.open('/some/image/file/path'))
image = transform(image=image)['image']

\# Now the image is blurred and ready to be accepted by the model