diff --git a/demo.py b/demo.py
index ed545d65a..f14481159 100644
--- a/demo.py
+++ b/demo.py
@@ -5,7 +5,6 @@
 
 """ Demo of using VoteNet 3D object detector to detect objects from a point cloud.
 """
-
 import os
 import sys
 import numpy as np
diff --git a/scannet/scannet_detection_dataset.py b/scannet/scannet_detection_dataset.py
index eaca9c906..3df68aa05 100644
--- a/scannet/scannet_detection_dataset.py
+++ b/scannet/scannet_detection_dataset.py
@@ -75,10 +75,10 @@ def __getitem__(self, idx):
         """
         
         scan_name = self.scan_names[idx]        
-        mesh_vertices = np.load(os.path.join(self.data_path, scan_name)+'_vert.npy')
-        instance_labels = np.load(os.path.join(self.data_path, scan_name)+'_ins_label.npy')
-        semantic_labels = np.load(os.path.join(self.data_path, scan_name)+'_sem_label.npy')
-        instance_bboxes = np.load(os.path.join(self.data_path, scan_name)+'_bbox.npy')
+        mesh_vertices = np.load(os.path.join(self.data_path, scan_name)+'_vert.npy', allow_pickle=True)
+        instance_labels = np.load(os.path.join(self.data_path, scan_name)+'_ins_label.npy', allow_pickle=True)
+        semantic_labels = np.load(os.path.join(self.data_path, scan_name)+'_sem_label.npy', allow_pickle=True)
+        instance_bboxes = np.load(os.path.join(self.data_path, scan_name)+'_bbox.npy', allow_pickle=True)
 
         if not self.use_color:
             point_cloud = mesh_vertices[:,0:3] # do not use color for now