def demo_verification(image1,image2):
image1='testimage/8.jpg'
image2='testimage/ozwtest2.jpg'
start = time.time()
f1 = face_verify.get_image_feature(image1)
f2 = face_verify.get_image_feature(image2)
print f1
result = face_verify.evaluate_by_distance(f1, f2)
sim = face_verify.get_similarity(result, face_verify.threshold)
if sim <= 0.5 :
print 'predict: same person'
else:
print 'predict: different person'
cost_time = time.time()-start
print 'It take: %f second to complete'%(cost_time)
def get_face_features(file_path):
file_list =os.listdir(file_path)
features =dict()
for file_ in file_list:
print file_
file_name = os.path.join(file_path, file_)
feature = face_verify.get_image_feature(file_name)
feature = np.reshape(feature,(256,))
features[file_] =feature
return features
