When I follow the 3D object detection tutorial it seems the ground truth annotations don't contain a _loginfo colmn.
If I run it I get this error message:
KeyError: 'log_id'
According to the documentation in eval.py the evaluate function expects a pandas dataframe of dimension Mx15, wheras only Mx14 gets passed, after loading the annotations with gts = read_all_annotations(dataset_dir=dataset_dir, split='val') . So I assume a log_info colums needs to be added in this function?
When I follow the 3D object detection tutorial it seems the ground truth annotations don't contain a _loginfo colmn. If I run it I get this error message:
KeyError: 'log_id'
According to the documentation in eval.py the evaluate function expects a pandas dataframe of dimension Mx15, wheras only Mx14 gets passed, after loading the annotations withgts = read_all_annotations(dataset_dir=dataset_dir, split='val')
. So I assume a log_info colums needs to be added in this function?