Center Crop

Data augmentation tool that allows you to crop your samples to a specified height and width with certain probability.

Parameters

Height

It defines the height of the newly cropped image.

Width

It defines the width of the newly cropped image.

Probability

It is the probability of the application of this transform.

Code Implementation

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

transform =albu.CenterCrop(200,200,p=0.5)#set height, width, and probability

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

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

Further Resources**

• Vertical Flip
• Resize
• Random Crop
• Horizontal Flip
• Rotate
• Blur
• Gaussian Noise