Error in preparing the optical flow for re-training the model with Vimeo dataset, when run "python flow_generation/gen_flow.py -r data/vimeo_triplet"

[srwissac]

Hi,
I encountered an issue when I want to prepare the optical flow data with Vimeo dataset.
Specifically, I downloaded the Vimeo dataset (vimeo_septuplet.zip) and unzipped (including rename) it as /mnt/data_nas/srwang/vimeo/vimeo_triplet/{readme.txt; sequences; tri_testlist.txt; tri_trainlist.txt}.
Following the illustration in https://github.com/MCG-NKU/AMT/blob/main/docs/develop.md to prepare the environment, I ran python flow_generation/gen_flow.py -r /mnt/data_nas/srwang/vimeo/vimeo_triplet. There is an error called "getopt.GetoptError: option -r not recognized".
The detailed snapshot for the bug is attached.
Thanks for your time and looking forward to your reply.

[srwissac]

Hi,
I solved this problem by replacing the 32 line in run.py shown below:
from:
for strOption, strArgument in getopt.getopt(sys.argv[1:], '', [ strParameter[2:] + '=' for strParameter in sys.argv[1::2] ])[0]:
to:
for strOption, strArgument in getopt.getopt('', [ strParameter[2:] + '=' for strParameter in sys.argv[1::2] ])[0]:
Thanks a lot.

[Paper99]

OK, thank you for providing a nice solution for us.

[huang-hz]

It's a helpful solution