You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I have already downloaded original 2018 dataset (part-wise annotation) and your dataset (intrument-wise annotation). And I put both dataset in the same folder. Although I noticed you mentioned "use the 2018 labels compatible with the 2017 dataset (final_labels_2017.json).", I don't know how to prepare it. When I run organize2018.py, it requires 'instrument_labels_2017' folder.
May I know how to solve it?
Can you kindly show the dataset folder structure in GitHub, it would be very helpful!
Hi, thanks for your great work!I am preprocessing 2018 dataset according to https://github.com/BCV-Uniandes/ISINet/blob/main/data/README.md
However, some details are not very clear. I met some issues when I tried to get the coco format annotation for 2018 dataset.
I have already downloaded original 2018 dataset (part-wise annotation) and your dataset (intrument-wise annotation). And I put both dataset in the same folder. Although I noticed you mentioned "use the 2018 labels compatible with the 2017 dataset (final_labels_2017.json).", I don't know how to prepare it. When I run organize2018.py, it requires 'instrument_labels_2017' folder.
May I know how to solve it?
Can you kindly show the dataset folder structure in GitHub, it would be very helpful!
https://github.com/BCV-Uniandes/ISINet/blob/main/data/organize2018.py line 164
instr_label_folder = osp.join(args.data_dir, data_f, in_f, 'instrument_labels_2017')
Thanks for your help!
The text was updated successfully, but these errors were encountered: