facenet4

# embeddings of the generated image
f_new_img = FRmodel.predict_on_batch(np.array([new_img]))
# embeddings of target image
f_kian = img_to_encoding("images/kian.jpg", FRmodel)
# embeddings of attacker image
f_attacker = FRmodel.predict_on_batch(np.array([attacker]))

# compute l2 distances
print(np.linalg.norm(f_kian - f_new_img)) # 0.485102
print(np.linalg.norm(f_kian - f_attacker)) # 0.862257
print(np.linalg.norm(f_attacker - f_new_img)) # 0.661044