At this point, it would be useful to consolidate our code. We have written a lot of code so far, including helper functions. Let's consolidate the helper functions into a utils.py file as follows.
First, we import the necessary libraries:
import numpy as npimport randomimport osimport cv2from keras.models import Sequentialfrom keras.layers import Flatten, Dense, Conv2D, MaxPooling2Dfrom keras import backend as Kfrom keras.preprocessing.image import load_img, img_to_array
We include the euclidean_distance, contrastive_loss, and accuracy functions needed to train a Siamese neural network in the utils.py file:
def euclidean_distance(vectors): vector1, vector2 = vectors sum_square = K.sum(K.square(vector1 - vector2), axis=1, ...