Update 'face_recognition/app/app.py'

face_recognition/app/app.py

@@ -45,14 +45,12 @@ def new_face():
     temporary_img_path = '/tmp/'+str(id)+'.jpg'
     temporary_pkl_path = '/tmp/'+str(id)+'.pkl'
     save_img(img, temporary_img_path)
-    #new method img_path to encoding, inkl error handling
-    face = face_recognition.load_image_file(temporary_img_path)
-    face_encoding = face_recognition.face_encodings(face)[0]
-    with open(temporary_pkl_path, 'wb') as file:
-        pickle.dump(face_encoding, file)
-    minioClient.fput_object('users', str(id), temporary_pkl_path)
-    #return boolean if  setup was succesful
-    return jsonify({'id':id})
+    face_encoding_response = encode_face(temporary_img_path)
+    if face_encoding_response['success']==True:
+    	with open(temporary_pkl_path, 'wb') as file:
+        	pickle.dump(face_encoding, file)
+    	minioClient.fput_object('users', str(id), temporary_pkl_path)
+    return jsonify({'success':face_encoding_response['success']})
   
 @app.route('/check_face')
 #call like https://face.sguba.de/check_face?id=123&encoded_string=abc
@@ -90,6 +88,18 @@ def save_img(encoded_data, filename):
     img = imutils.rotate(img, 90)
     return cv2.imwrite(filename, img)
   
+def encode_face(path):
+    success = None
+    face = face_recognition.load_image_file(path)
+    face_encoding = face_recognition.face_encodings(face)
+    if len(face_encoding)==0:
+        success = False
+        response = {'success':success, 'encoding':None}
+    else:
+        success = True
+        response = {'success':success, 'encoding':face_encoding[0]}
+    return response
+          
 def setup():
     try:
         minioClient.make_bucket("users")