remove pdb

Author: YTEP-ZHI

projects/mmdet3d_plugin/uniad/dense_heads/planning_head_plugin/planning_metrics.py

@@ -130,7 +130,6 @@ def update(self, trajs, gt_trajs, gt_trajs_mask, segmentation):
         segmentation: torch.Tensor (B, n_future, 200, 200)
         '''
         assert trajs.shape == gt_trajs.shape
-        # import pdb;pdb.set_trace()
         trajs[..., 0] = - trajs[..., 0]
         gt_trajs[..., 0] = - gt_trajs[..., 0]
         L2 = self.compute_L2(trajs, gt_trajs, gt_trajs_mask)

tools/analysis_tools/visualize/render/bev_render.py

@@ -203,7 +203,6 @@ def render_planning_attn_mask(self, predicted_planning):
             -51.2, 51.2, -51.2, 51.2), vmax=0.2, cmap=matplotlib.colormaps[cmap_name])
 
     def render_hd_map(self, nusc, nusc_maps, sample_token):
-        # import pdb;pdb.set_trace()
         sample_record = nusc.get('sample', sample_token)
         sd_rec = nusc.get('sample_data', sample_record['data']['LIDAR_TOP'])
         cs_record = nusc.get('calibrated_sensor',

tools/analysis_tools/visualize/render/cam_render.py

@@ -47,7 +47,6 @@ def project_to_cam(self,
         _, cs_record, pose_record, cam_intrinsic, imsize = self.get_image_info(
             sample_data_token, nusc)
         boxes = []
-        # import pdb;pdb.set_trace()
         for agent in agent_prediction_list:
             box = Box(agent.pred_center, agent.pred_dim, Quaternion(axis=(0.0, 0.0, 1.0), radians=agent.pred_yaw),
                       name=agent.pred_label, token='predicted')

tools/data_converter/uniad_nuscenes_converter.py

@@ -319,7 +319,6 @@ def _fill_trainval_infos(nusc,
                              for ann in annotations]
             future_traj_all, future_traj_valid_mask_all = _get_future_traj_info(nusc, sample)
             instance_tokens = [ann['instance_token'] for ann in annotations]  # dtype('<U[length_of_str]')
-            # import pdb; pdb.set_trace()
 
             # TODO: Add traj in next dataset_version
             # future_traj_all, future_traj_valid_mask_all = _get_future_traj_info(nusc, sample)