Python Deep Learning Cookbook

How to do it...

1. Let's first load all the necessary libraries:

import numpy as npimport cv2import matplotlib.pyplot as pltimport glob

2. Next, we load some sample images that we will use and plot them:

DATA_DIR = 'Data/augmentation/'images = glob.glob(DATA_DIR + '*')plt.figure(figsize=(10, 10))i = 1for image in images:    img = cv2.imread(image)    img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)    plt.subplot(3, 3, i)    plt.imshow(img)    i += 1    plt.show()

Figure 7.1: Example images that we will be using for augmentation

3. We start by defining a function to easily plot examples of our augmentations:

def plot_images(image, function, *args): plt.figure(figsize=(10, ...