def main(args):
with open(args.pickle,'rb') as f:
feature_array = pickle.load(f, encoding='utf-8')
#model_exp = '../lib/src/ckpt/20170512-110547'
model_exp = args.model
graph_fr = tf.Graph()
sess_fr = tf.Session(graph=graph_fr)
with graph_fr.as_default():
with sess_fr.as_default():
#saverf = tf.train.import_meta_graph(os.path.join(model_exp, 'model-20180408-102900.meta'))
#saverf.restore(sess_fr, os.path.join(model_exp, 'model-20180408-102900.ckpt-90'))
load_model(model_exp)
pnet, rnet, onet = detect_face.create_mtcnn(sess_fr, None)
retrieve.recognize_face(sess_fr,pnet, rnet, onet,feature_array)
def face_det():
retrieve.recognize_face(sess_fr, pnet, rnet, onet, feature_array)
def recog_face(request):
#live recognition will start...all code is written in retrieve file
retrieve.recognize_face(sess_fr,pnet, rnet, onet,feature_array)
return redirect('/')