import numpy as np
from keras.models import Model
from keras.utils import to_categorical

pred_y = np.load("predicted_results.npy")
test_y = np.load("Waldo_test_lbl.npy")

test_y = to_categorical(test_y)

f = open("test_output.txt", 'w')
z = 0
for i in range(0, len(test_y)):
    print(pred_y[i], test_y[i], file=f)
    # Calculates correct predictions 
    if pred_y[i][0] == test_y[i][0]:
        z+=1

print("Accuracy: {}%".format(z/len(test_y)*100))
f.close()