bugfixed: typo in anchor_head_multi

pcdet/models/dense_heads/anchor_head_multi.py

@@ -4,6 +4,7 @@ from .anchor_head_template import AnchorHeadTemplate
 from ..backbones_2d import BaseBEVBackbone
 import torch
 
+
 class SingleHead(BaseBEVBackbone):
     def __init__(self, model_cfg, input_channels, num_class, num_anchors_per_location, code_size, encode_conv_cfg=None):
         super().__init__(encode_conv_cfg, input_channels)
@@ -75,6 +76,7 @@ class SingleHead(BaseBEVBackbone):
 
         return ret_dict
 
+
 class AnchorHeadMulti(AnchorHeadTemplate):
     def __init__(self, model_cfg, input_channels, num_class, class_names, grid_size, point_cloud_range, predict_boxes_when_training=True):
         super().__init__(
@@ -157,7 +159,7 @@ class AnchorHeadMulti(AnchorHeadTemplate):
         reg_weights = positives.float()
         if self.num_class == 1:
             # class agnostic
-            box_cls_labels[positive] = 1
+            box_cls_labels[positives] = 1
         pos_normalizer = positives.sum(1, keepdim=True).float()
         reg_weights /= torch.clamp(pos_normalizer, min=1.0)
         cls_weights /= torch.clamp(pos_normalizer, min=1.0)