Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
Thanks very much for your wonderful contributions. It went smoothly when training the model, I faced some problems when testing with the checkpoint.
The file './visualDet3D/workdirs/Stereo3D/output/validation/test/imdb.pkl' cannot be found. But I have one imdb.pkl in './visualDet3D/workdirs/Stereo3D/output/test/imdb.pkl'. Is the one in './test' the same as the one should be in './validation/test/imdb.pkl'? Thanks.
I tried to copy the imdb.pkl into './validation/test', and it returned another error. The logs can be seen as follows (I have followed the instructions to set file paths):
./launchers/eval.sh ./config/Stereo.py 0 /home/qw/visualDet3D/workdirs/Stereo3D/checkpoint/Stereo3D_19.pth validation/test
CUDA available: True
Found evaluate function
clean up the recorder directory of /home/qw/visualDet3D/workdirs/Stereo3D/output/validation/test/data
rebuild /home/qw/visualDet3D/workdirs/Stereo3D/output/validation/test/data
0%| | 0/7518 [00:00<?, ?it/s]kitti.data in stereo_dataset.py is: <visualDet3D.data.kitti.kittidata.KittiData object at 0x7fa1279c37b8>
0%| | 0/7518 [00:00<?, ?it/s]
Traceback (most recent call last):
File "scripts/eval.py", line 55, in
fire.Fire(main)
File "/home/qw/anaconda3/envs/VD3D/lib/python3.6/site-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/home/qw/anaconda3/envs/VD3D/lib/python3.6/site-packages/fire/core.py", line 471, in _Fire
target=component.name)
File "/home/qw/anaconda3/envs/VD3D/lib/python3.6/site-packages/fire/core.py", line 681, in _CallAndUpdateTrace
component = fn(*varargs, *kwargs)
File "scripts/eval.py", line 52, in main
evaluate_detection(cfg, detector, dataset, None, 0, result_path_split=split_to_test)
File "/home/qw/anaconda3/envs/VD3D/lib/python3.6/site-packages/torch/autograd/grad_mode.py", line 26, in decorate_context
return func(args, **kwargs)
File "/home/qw/visualDet3D/visualDet3D/networks/pipelines/evaluators.py", line 85, in evaluate_kitti_obj
test_one(cfg, index, dataset_val, model, test_func, backprojector, projector, result_path)
File "/home/qw/visualDet3D/visualDet3D/networks/pipelines/evaluators.py", line 102, in test_one
data = dataset[index]
File "/home/qw/visualDet3D/visualDet3D/data/kitti/dataset/stereo_dataset.py", line 105, in getitem
for obj in kitti_data.label:
AttributeError: 'KittiData' object has no attribute 'label'
Looking forward to hearing from you. Any suggestions will be helpful.
Hi,
Thanks very much for your wonderful contributions. It went smoothly when training the model, I faced some problems when testing with the checkpoint.
Looking forward to hearing from you. Any suggestions will be helpful.
Sincerely!