face_recog_1.py

custom_images = recognizer.prepare_images_from_dir( 'custom_images/'  )
class_1_images = recognizer.prepare_images_from_dir( 'images/p1/' )
class_2_images = recognizer.prepare_images_from_dir( 'images/p2/' )

scores = list()
labels = list()
for image in custom_images:
    label = list()
    score = list()
    for sample in class_1_images :
        image , sample = image.reshape( ( 1 , -1 ) ) , sample.reshape((1 , -1 ) )
        score.append( recognizer.predict( [ image , sample ])[0] )
        label.append( 0 )
    for sample in class_2_images :
        image , sample = image.reshape( ( 1 , -1 ) ) , sample.reshape((1 , -1 ) )
        score.append( recognizer.predict( [ image , sample ])[0] )
        label.append( 1 )
    labels.append( label )
    scores.append( score )

scores = np.array( scores )
labels = np.array( labels )

for i in range( custom_images.shape[0] ) :
    index = np.argmax( scores[i] )
    label_ = labels[i][index]
    print( 'IMAGE {} is {} with confidence of {}'.format( i+1  , label_ , scores[i][index][0] ) )