@ -457,7 +457,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
l = np.zeros((0, 5), dtype=np.float32)
x[img] = [l, shape]
except Exception as e:
x[img] = None
x[img] = [None, None]
print('WARNING: %s: %s' % (img, e))
x['hash'] = get_hash(self.label_files + self.img_files)