Visualize the BEV 2D prediction, ground truth with point cloud together. Parameters ---------- pred_box_tensor : tor

r""" Helper function to make torch.inverse work with other than fp32/64. The function torch.inverse is only implemented for fp32/64 which make

r""" Helper function to make torch.inverse work with other than fp32/64. The function torch.inverse is only implemented for fp32/64 which make

Add the length of the number before the string contains the number and add 999 after it minus delete the 0 number @param stringBuffer @param original

Add localization noise to the pose. Parameters ---------- pose : list x,y,z,roll,yaw,pitch xyz_

Add localization noise to the pose. Parameters ---------- pose : list x,y,z,roll,yaw,pitch xyz_

Add localization noise to the pose. Parameters ---------- pose : list x,y,z,roll,yaw,pitch xyz_

Assemble the export data content @return data information

Batch insert data model results @param dataPreAnnotationBO Data pre-annotation parameter @param modelBO Model information @param userId

Convert the torch tensor bounding box to o3d oabb for visualization. Parameters ---------- bbx_corner : torch.Tensor shape:

4 -------- 5 /| /| 7 -------- 6 . | | | | . 0 -------- 1 |/ |/ 3 -------- 2 P

Retrieve visible objects in the ego camera. Parameters ---------- vis_mask_list : list cav_content : dict

3x3 convolution with padding

Data info convert dataInfo dto @param dataInfoBO data @return