Instructions for inference are incorrect

[mantyni]

Thanks for sharing the code. I am trying to run an inference test for odometry trajectory using test_mono.py script with a pretrained Radiate dataset. However, instructions provided in the readme file are not correct.

Firstly, test_mono.py should specify in the arguments --pretrained-pose and not --pretrained-disp (currently in the readme): python test_mono.py /path/to/dataset/ --dataset dataset_name --pretrained-disp /path/to/pretrained_model --results-dir /path/to/save/results # for monocular odometry

Secondly, I get the following error trying to run the script. I guess sequence parameter is missing however, it is not clear from description what sequence is and what it should contain: python3 test_mono.py ./datasets/radiate_city_1/ --dataset radiate --pretrained-pose mono_posenet_checkpoint.pth.tar-20221020T225942Z-001/mono_posenet_checkpoint.pth.tar --results-dir ./results => creating model => using pre-trained weights for PoseResNet Traceback (most recent call last): File "test_mono.py", line 260, in main() File "/home/user/.local/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context return func(*args, **kwargs) File "test_mono.py", line 128, in main raise argparse.ArgumentError( TypeError: init() missing 1 required positional argument: 'message'

Please can you update the instructions and specify correct arguments for running the inference tests.