testing.py

# -*- coding: utf-8 -*-
"""
Created on Sun Nov 22 10:30:13 2020

@author: KIIT
"""
# Load the face dataset
data = np.load('portal_data.npz')
trainX, trainy, testX, testy = data['arr_0'], data['arr_1'], data['arr_2'], data['arr_3']
print('Loaded: ', trainX.shape, trainy.shape, testX.shape, testy.shape)
# Testing data
from random import choice
# select a random face from test set
selection = choice([i for i in range(testX.shape[0])])
random_face = testX[selection]
random_face_emd = emdTestX_norm[selection]
random_face_class = testy_enc[selection]
random_face_name = out_encoder.inverse_transform([random_face_class])

# prediction for the face from test set
samples = np.expand_dims(random_face_emd, axis=0)
yhat_class = model.predict(samples)
yhat_prob = model.predict_proba(samples)
# get name
class_index = yhat_class[0]
class_probability = yhat_prob[0,class_index] * 100
predict_names = out_encoder.inverse_transform(yhat_class)
all_names = out_encoder.inverse_transform([0,1,2])
#print('Predicted: %s (%.3f)' % (predict_names[0], class_probability))
print('Predicted: \n%s \n%s' % (all_names, yhat_prob[0]*100))
print('Expected: %s' % random_face_name[0])
# plot face
plt.imshow(random_face)
title = '%s (%.3f)' % (predict_names[0], class_probability)
plt.title(title)
plt.show()