clean iou calculation

mmdet3d/utils/logger.py

-import logging
-
-from mmcv.utils import get_logger
-
-
-def get_root_logger(log_file=None, log_level=logging.INFO):
-    logger = get_logger(name='mmdet3d', log_file=log_file, log_level=log_level)
-
-    return logger

tests/test_parta2_bbox_head.py

@@ -425,7 +425,10 @@ def test_multi_class_nms():
              1.4715e+00, -2.9639e+00
          ]]).cuda()
 
-    selected = self.multi_class_nms(box_probs, box_preds, 0.1, 0.001)
+    input_meta = dict(
+        box_type_3d=LiDARInstance3DBoxes, box_mode_3d=Box3DMode.LIDAR)
+    selected = self.multi_class_nms(box_probs, box_preds, 0.1, 0.001,
+                                    input_meta)
     expected_selected = torch.Tensor([0, 1, 4, 8]).cuda()
 
     assert torch.all(selected == expected_selected)