Traceback (most recent call last):
File "./pytorch/train.py", line 646, in
fire.Fire()
File "/usr/local/lib/python3.8/dist-packages/fire/core.py", line 138, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/usr/local/lib/python3.8/dist-packages/fire/core.py", line 466, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/usr/local/lib/python3.8/dist-packages/fire/core.py", line 675, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "./pytorch/train.py", line 398, in train
raise e
File "./pytorch/train.py", line 377, in train
gt_annos = [
File "./pytorch/train.py", line 378, in
info["annos"] for info in eval_dataset.dataset.kitti_infos
KeyError: 'annos'
You should use car_new.config instead of car.config as written in README. Because the eval_dataset you want to use in the evaluate should be obtained from kitti_infos_val.pkl, not kitti_infos_test.pkl.
Traceback (most recent call last): File "./pytorch/train.py", line 646, in
fire.Fire()
File "/usr/local/lib/python3.8/dist-packages/fire/core.py", line 138, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/usr/local/lib/python3.8/dist-packages/fire/core.py", line 466, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/usr/local/lib/python3.8/dist-packages/fire/core.py", line 675, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "./pytorch/train.py", line 398, in train
raise e
File "./pytorch/train.py", line 377, in train
gt_annos = [
File "./pytorch/train.py", line 378, in
info["annos"] for info in eval_dataset.dataset.kitti_infos
KeyError: 'annos'