update return type

src/diary_cover_similarity.py

@@ -24,10 +24,10 @@ def main():
     face_detector = dlib.get_frontal_face_detector()
     shape_predictor = dlib.shape_predictor(shape_model_path)
 
-    if img:
+    if img.any():
         faces = face_to_vec(img, face_rec, face_detector, shape_predictor)
 
-        if faces:
+        if len(faces) > 0:
             for face in faces:
                 print(face)
                 print("\n")

src/utils/images.py

@@ -18,7 +18,7 @@ def url_to_ndarray(url):
         return data
     else:
         print("http get: {}".format(result.status_code))
-        return None
+        return np.array([])
 
 
 def file_to_ndarray(path):